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The \fullmacs0416 cluster (hereafter \macs0416) is one of the most  efficient lenses in the sky, and in 2014 it was observed with high-cadence  imaging from the Hubble Space Telescope (\HST). Here we describe two  unusual transient events that appeared behind \macs0416 in a strongly lensed galaxy at redshift  $z=1.0054\pm0.0002$. These transients---designated  \spockone and \spocktwo and collectively nicknamed ``Spock''---were  faster and fainter than any supernova (SN), but significantly more luminous  than a classical nova. They reached peak luminosities of $\sim10^{41}$  erg s$^{-1}$ (M$_{AB}<-14$) ($M_{AB}<-14$ mag)  in $\lesssim$5 rest-frame days, then faded below detectability in roughly the same time span. Models of the  cluster lens suggest that these events may be {\it spatially}  coincident at the source plane, but are most likely not {\it         

The authors thank Mario Livio and Laura Chomiuk for helpful discussion  of this paper, as well as Stephen Murray and Neil Gehrels for  assistance with the \Chandra and \SWIFT \Swift  data, respectively. Financial support for this work was provided to S.A.R., O.G., and L.G.S. by NASA  through grant HST-GO-13386 from the Space Telescope Science Institute 

projects AYA2015-64508-P (MINECO/FEDER, UE), AYA2012-39475-C02-01 and  the consolider project CSD2010-00064 funded by the Ministerio de  Economia y Competitividad.  A.V.F. and P.L.K. are grateful for financial assistance from the  Christopher R. Redlich Fund, the TABASGO Foundation, and NASA/STScI  grants 14528, 14872, and 14922. The work of A.V.F. was conducted in  part at the Aspen Center for Physics, which is supported by NSF grant  PHY-1607611; he thanks the Center for its hospitality during the  neutron stars workshop in June and July 2017.  R.J.F. and the UCSC group is supported in part by NSF grant  AST-1518052 and from fellowships from the Alfred P.\ Sloan Foundation  and the David and Lucile Packard Foundation to R.J.F.           

\subsection{Stellar Explosion Models}  \label{sec:Classification}  Most optical transient events observed in extragalactic surveys can be  explained as stellar explosions of one type or another. As the \spock  transients do not easily fall within familiar categories, a useful  starting point for comparing them to known stellar explosion  categories is to examine the phase space of peak luminosity versus  decline time \citep[see, e.g.,][]{Kasliwal:2010}. To infer the  luminosity and decline time for each \spock event, we combine the  linear fits to the light curves (shown in  Figure~\ref{fig:LinearLightCurveFits}) with the predicted range of  lensing magnifications (Figure~\ref{fig:LensModelContours}). For any  assumed value for the time of peak brightness, the light curve fits  give us an estimate of the ``observed'' peak magnitude and a  corresponding rise-time and decline-time measurement. We then convert  this extrapolated peak magnitude to a luminosity (e.g., $\nu L_\nu$ in  erg s$^{-1}$) by first correcting for the luminosity distance assuming  a standard \LCDM cosmology \citep{Planck:2016}, and then accounting  for an assumed lensing magnification, $\mu$. At the end of all this,  we have a grid of possible peak luminosities for each event as a  function of magnification and time of peak (or, equivalently, the  decline time).  Figures~\ref{fig:PeakLuminosityDeclineTimeWide} and  \ref{fig:PeakLuminosityDeclineTime} show the resulting  constraints on the peak luminosity and the decline time, which we  quantify as $t_2$, the time over which the transient declines by 2  magnitudes. Shaded green and red bands represent the \spockone and  \spocktwo events, respectively, and in each case they incorporate the  allowed range for time of peak (see  Figure~\ref{fig:LinearLightCurveFits}) and the lensing magnification  ($10<\mu<100$) as reported in Table~\ref{tab:LensModelPredictions}.  The two events are largely consistent with each other, and if both  events are representative of a single system (or a homogeneous class)  then the most likely peak luminosity and decline time (the region with  the most overlap) would be $L_{\rm pk}\sim10^{41}$ ergs/s and  $t_2\sim1.8$ days.  %In Figure~\ref{fig:PeakLuminosityDeclineTimeWide} we also demarcate  %regions of the luminosity--decline time phase space occupied by known  %or theorized SN-like transients.   \subsection{Supernova-like Transients}  The colored regions along the right side of  Figure~\ref{fig:PeakLuminosityDeclineTimeWide} mark the luminosity and  decline times for SNe and SN-like transients. This includes the  familiar luminosity-decline relation of Type Ia SNe  \citep{Phillips:1993} and the broad heterogeneous class of Core  Collapse SNe, as well as less well-understood classes such as  Superluminous SNe \citep{Gal-Yam:2012,Arcavi:2016}, Type Iax SNe  \citep{Foley:2013a}, fast optical transients \citep{Drout:2014}, Ca-rich SNe \citep{Filippenko:2003,Perets:2011,Kasliwal:2012}, and  Luminous Red Novae \citep[also called intermediate luminosity red  transients;][]{Munari:2002,Kulkarni:2007,Kasliwal:2011b}. The \spock  events are incompatible with all of these explosion categories,  owing to the very rapid rise and fall of both \spock light curves, and  their relatively low peak luminosities of $\sim10^{41}$ erg s$^{-1}$.  Dashed boxes in Figure~\ref{fig:PeakLuminosityDeclineTimeWide}  represent categories of ``SN-like'' stellar explosions that have been  theoretically predicted and extensively modeled, but for which very  few viable candidates have actually been observed. Both of these  categories come closer to matching the observed characteristics of the  two \spock events, so they warrant closer scrutiny.  \subsubsection{Kilonova}  Also called a ``macronova'' or ``mini-supernova,'' this is a theorized  optical transient that may be generated by the merger of a neutron  star (NS) binary. Such a NS+NS merger can drive a relativistic jet that may be  observed as a Gamma Ray Burst (GRB) and would emit gravitational  waves. These may also be accompanied by a very rapid optical light  curve (the kilonova component) that is driven by the radioactive decay  of r-process elements in the ejecta \citep{Li:1998,Kulkarni:2005}. To  date there are two cases of fast optical transients associated with  GRB events, which have been interpreted as possible kilonovae  \citep{Perley:2009,Tanvir:2013}. The \spock transients fall within  the range of theoretically predicted peak luminosity and decline times  for kilonovae. However, the rise time for the \spockone event is at  least 5 days in the rest-frame, which is significantly longer than the  $<1$ day rise expected for a kilonova  \citep[e.g.][]{Metzger:2010,Barnes:2013,Kasen:2015}. Furthermore,  both \spock events are either significantly fainter or faster than the  optical light curves for the two existing kilonova candidates.  \subsubsection{.Ia Supernova}  The dashed oval in Figure~\ref{fig:PeakLuminosityDeclineTimeWide}  represents the ``.Ia'' class of He shell explosions  \citep{Bildsten:2007}. These are theorized to arise from AM Canum  Venaticorum (AM CVn) systems, which are binary star systems  transferring He onto a C/O or O/Ne WD primary  \citep{Warner:1995, Nelemans:2005}. \citet{Bildsten:2007} argued that  these systems can build up enough He on the surface of the WD to  trigger a thermonuclear runaway and possibly a detonation. A typical  AM CVn system could produce $\sim$10 He shell flashes over $\sim10^6$  yr, while the He mass transfer rate is slow enough to admit thermally  unstable burning in the WD's accreted He shell. The final He shell  flash is the brightest, and is what we refer to as the .Ia event. This  last explosion may or may not lead to a detonation of the WD core  \citep[the double detonation scenario;][]{Nomoto:1982a, Nomoto:1982b,  Woosley:1986, Woosley:1994}.  Theoretical .Ia models suggest that the light curves would be quite  bright, reaching a peak luminosity of $\sim10^{42}$ erg s$^{-1}$.  That is comparable to the brightness of a normal SN, but the .Ia light  curves would decline much more quickly. After an initial short peak  (3-5 days) driven by the rapid radioactive decay of \isotope{48}{Cr}  and \isotope{52}{Fe} at the exterior of the ejecta, a secondary  decline phase kicks in, powered by the slower \isotope{56}{Ni} decay  chain \citep{Shen:2010}. The optical emission is expected to fade by 2  magnitudes after $\sim10$ days. There have been a few viable .Ia  candidates presented in the literature \citep{Kasliwal:2010,  Perets:2010, Poznanski:2010}, but we do not have enough objects to  empirically constrain .Ia light curve shapes. Although the \spock  light curves were somewhat fainter and faster than the expectations  for a .Ia event, there is enough uncertainty about the diversity of  .Ia light curves that this model should not be dismissed on those  merits alone.  \subsubsection{The Recurrence Problem}  An additional challenge for applying any SN-like transient model to  explain the \spock events is the problem of the apparent  recurrence. For all of these catastrophic stellar explosions we do  not expect to see repeated transient events: the kilonova progenitor  system is completely destroyed by the merger, and for the .Ia  explosions the principal observed transient event is the last  transient episode that system produces. Even if we suppose that an AM  CVn system could produce repeated He shell flashes of similar  luminosity, the period of recurrence would be of order $10^5$ yr,  making these effectively non-recurrent sources.  Thus, the only way to reconcile these cataclysmic explosion models  with the two observed \spock events is to either (a) assert that the  two events are two images of the same explosion, appearing to us  separately only because of a gravitational lensing time delay  \citep[as was the case for the 5 images of SN  Refsdal][]{Kelly:2015a,Kelly:2016}, or (b) invoke a highly  serendipitous occurrence of two unrelated peculiar explosions in the  same host galaxy in the same year.  To evaluate scenario (a), in which a lensing time delay causes the  appearance of two separate events, we must rely on the available lens  modeling. We have seen in Section~\ref{sec:LensingModels} that none of  the \macs0416 lens models predict an 8 month time delay between  appearances in image 11.1 and 11.2. This is represented in  Figure~\ref{fig:SpockDelayPredictions}, where we have plotted the  light curves for the two transient events, along with shaded vertical  bars marking the time delay predictions of all models.  %The lens models are broadly consistent with each other, predicting  %that the lensing time delay between images 11.1 and 11.2 is on the  %order of $\pm$60 days, far short of the 238 day lag that was observed  %between \spockone\ and \spocktwo.  To accept this time-delayed single explosion explanation for \spock,  we would have to assume that a large systematic bias is similarly  affecting all of the lens models. While we cannot rule out such a  bias, the consistency of the lens modeling makes this scenario less  tenable.  For the latter scenario of two unrelated explosions, it is difficult  to assess the likelihood of such an occurrence quantitatively, as  there are no measured rates of .Ia or kilonovae. In a study of very  fast optical transients with the Pan-STARRS1 survey,  \citet{Berger:2013b} derived a limit of $\lesssim0.05$ Mpc$^{-3}$  yr$^{-1}$ for transients reaching $M\approx -14$ mag on a timescale of  $\sim$1 day. This limit, though several orders of magnitude higher  than the constraints on novae or SNe, is sufficient to make it  exceedingly unlikely that two such transients would appear in the same  galaxy in a single year. Furthermore, we have observed no other  transients with similar luminosities and light curve shapes in our  high-cadence surveys of 5 other Frontier Fields clusters. Indeed, all  other transients detected in the core Frontier Fields survey have been  fully consistent with normal SNe. Thus, we have no evidence to  suggest that transients of this kind are much more common at $z\sim1$.  \subsection{Luminous Blue Variable}  The transient sources categorized as Luminous Blue Variables (LBVs)  are the result of eruptions or explosive episodes from massive stars  ($>10$\Msun). The class is exemplified by well-studied examples such  as P Cygni and $\eta$ Carinae (\etacar) in the Milky Way and S Doradus  (S-Dor) in the Large Magellanic Cloud \citep[for recent overviews of  the LBV class, see][]{Smith:2011b, Kochanek:2012}. Although the  association with massive stars is well established, this class is very  heterogeneous and there is currently a vigorous debate over the  precise nature of the progenitor pathway  \citep{Smith:2015,Humphreys:2016,Smith:2016}. The ``Great Eruptions''  of such massive stars are sometimes labeled as ``SN impostors''  because these most prominent transient episodes can exhibit light  curves reminiscent of core collapse SNe, reaching peak absolute  magnitudes of $\sim$-7 to -16 mag in optical bands, and lasting for  tens to hundreds of days. In some cases the LBV progenitor does  indeed culminate with a final true core collapse SN event  \citep[e.g.][]{Mauerhan:2013, Tartaglia:2016}  % Foley:2007,Pastorello:2007,Smith:2010b,GalYam:2009}.  Although most giant LBV eruptions have been observed to last much  longer than the \spock events \citep{Smith:2011b}, some LBVs have  exhibited repeated rapid outbursts that are broadly consistent with  the very fast \spock light curves. Because of this commonly seen  stochastic variability, the LBV scenario does not have any trouble  accounting for the \spock events as two separate episodes.  Two well-studied LBVs in particular provide a plausible match to the  observed \spock events. The first is the transient ``SN 2009ip''  \citep{Maza:2009} which was later re-classified as an LBV as it showed  repeated brief transient episodes \citep[e.g.,][]{Miller:2009,  Li:2009, Berger:2009, Drake:2010}. Pre-eruption \HST imaging  demonstrated that the progenitor of SN 2009ip was likely a very high  mass star \citep[$\gtrsim50$ \Msun,][]{Smith:2010, Foley:2011}.  Remarkably, this star eventually did explode as a true SN event,  observed in 2012 \citep{Mauerhan:2013, Pastorello:2013, Prieto:2013}.  The second useful comparison object is NGC3432-LBV1 (also called SN  2000ch), which was first observed as a bright variable star  \citep{Papenkova:2000} and later definitively classified as an LBV  \citep{Wagner:2004}. This event exhibited at least three significant  outbursts over 2-year period, which were observed in a concerted  monitoring campaign \citep{Pastorello:2010}. The spectral  characteristics of this LBV suggest a similarity to Wolf-Rayet stars  \citep{Pastorello:2010} and the variation of the SED suggests  modulated dusty wind \citep{Wagner:2004, Kochanek:2012}. The observed  sequence of erratic transient episodes may also be indicative of  binary interactions similar to S-Dor \citep{Pastorello:2010,  Smith:2011b}.  Figure~\ref{fig:LBVLightCurveComparison} presents a direct comparison  of the observed \spock light curves against the light curves of these  two rapid-eruption LBVs, SN 2009ip and NGC3432-LBV1. The brief  outbursts of these LBVs have been less finely sampled than the two  \spock events, but the available data show a wide variety of rise and  decline times, even for a single object over a relatively narrow time  window of a few months. For each of the rapid LBV outbursts shown in  Figure~\ref{fig:LBVLightCurveComparison} we have measured the peak  luminosity and the decline time, allowing these events to be plotted  in the $L_{\rm pk}$ vs. $t_2$ space of  Figure~\ref{fig:PeakLuminosityDeclineTime} (as orange diamonds). All  of the rapid LBV eruptions of SN 2009ip and NGC3432-LBV1 provide only  upper limits on $t_2$, due to the relatively sparse photometric  sampling. The observations of both \spock events are consistent with  the observed luminosities and decline times of the fastest and  brightest of rapid LBV outbursts.   In addition to the relatively short and very bright giant eruptions  shown in Figure~\ref{fig:LBVLightCurveComparison}, most LBVs also  commonly exhibit a slower underlying variability that has not been  observed at the \spock locations. P Cygni and \etaCar, for example,  slowly rose and fell in brightness by $\sim$1 to 2 mag over a timespan  of several years before and after their historic giant eruptions.  Such variation has not been detected at the \spock locations, as can  be seen from the wide views of the \spock light curves in  Figure~\ref{fig:SpockDelayPredictions}. Nevertheless, given the broad  range of light curve behaviors seen in LBV events, we can not reject  this class as a possible explanation for the \spock system.  \todo{Measure this more quantitatively: forced photometry in drz (not  diff) images at all epochs, estimate what would be the magnitude of  a quiescent eta-Car-like star, and would we be able to detect a 1-2  mag brightening over the span of the HFF campaign}  \subsubsection{Physical Implications of the LBV Model}  Considering the population of LBVs, the observed \spock events would  stand out as extreme events. The observed rise and decline times for  \spock would place both among the most rapid LBV eruptions ever  seen. The peak luminosities of both \spockone and \spocktwo are  similar to the observed luminosities of rapid, bright outbursts seen  in LBVs such as SN 2009ip and NGC3432-LBV1. However, the upper edge of  the range of plausible peak luminosities for both \spock events  reaches $10^{42}$ erg s$^{-1}$, which would be an order of magnitude  more luminous than any rapid outburst from those two nearby LBVs.  The precise physical mechanism for LBV outbursts is still not fully  understood. LBV stars such as \etacar show clear evidence of ejected  shells of gas, and very massive stars are known to undergo extensive  mass loss as they evolve toward eventual explosion as a SN. This has  led to the canonical model of LBV transient events as being the  optical signature of an eruptive mass loss episode. Such mass loss  could arise from a variety of direct mechanisms, such as  continuum-driven super-Eddingtion winds \citep{Smith:2006},  pulsational pair instability ejections \citep{Woosley:2007}, and shock  heating of stellar envelopes from internal shell-burning instabilities  \citep{Dessart:2010}. This is far from an exhaustive list, and none  of these explanations are entirely sufficient to account for all of  the observed diversity of LBV behaviors or the structural complexity  the most well-studied LBVs \citep[e.g.][]{Smith:2011b, Kochanek:2012}.  Although we do not have a complete physical model in hand, we can  nevertheless explore some of the physical implications of an LBV  classification for the two \spock events. We first make a rough  estimate of the total radiated energy, which can be computed using the  decline timescale $t_2$ and the peak luminosity $L_{\rm pk}$ following  \citet{Smith:2011b}:  \begin{equation}  \label{eqn:Erad}  E_{\rm rad} = \zeta \t2 \Lpk,  \end{equation}  \noindent where $\zeta$ is a factor of order unity that depends on the  precise shape of the light curve.\footnote{Note that  \citet{Smith:2011b} used $t_{1.5}$ instead of $t_2$, which amounts  to a different light curve shape term, $\zeta$.} Adopting  \Lpk$\sim10^{41}$ erg s$^{-1}$ and \t2$\sim$2 days (as shown in  Figure~\ref{fig:PeakLuminosityDeclineTime}), we find that the total  radiated energy isi $E_{\rm rad}\sim10^{46}$ erg. A realistic range  for this estimate would span $10^{44}  uncertainties in the magnification, bolometric luminosity correction,  decline time, and light curve shape (in roughly that order of  importance). These uncertainties notwithstanding, our crude estimate  does fall well within the range of plausible values for the total  radiated energy of a major LBV outburst.  If LBV eruptions are driven by significant mass ejection events, then  the energy budget would also include a substantial amount of kinetic  energy imparted to the ejected gas shell. Without spectroscopic  information from the \spock transients we can not place any realistic  estimate on the kinetic energy. Nevertheless, we can take the radiated  energy as a rough lower limit on the total energy release and ask what  timescale would be required for a massive star to build up that amount  of energy. This approach assumes that the energy released in an LBV  eruption is generated slowly in the stellar interior and is in some  way ``bottled up'' by the stellar envelope, before being released in a  rapid mass ejection. The ``build-up'' timescale to match the  radiative energy release is then  \begin{equation}  \label{eqn:trad}  t_{\rm rad} = \frac{E_{\rm rad}}{L_{\rm qui}} = \t2 \frac{\xi\Lpk}{L_{\rm qui}},  \end{equation}  \noindent where $L_{\rm qui}$ is the luminosity of the LBV progenitor  star during quiescence. For the \spock events we have no useful  constraint on the quiescent luminosity, but for evaluating the LBV  scenario we can assume it is similar to the local LBVs whose  progenitors have been directly observed. This gives a range for the  radiative build-up timescale between $t_{\rm rad}\sim30$ days if the  progenitor is \etacar-like ($M_V\sim-12$), or $t_{\rm rad}\sim20$  years if it is similar to the faintest known LBV progenitors (e.g. SN  2010dn, with $M_V\sim-6$).   Alternatively, a more informative approach is to assert that the  build-up timescale for \spock corresponds to the observed rest-frame  lag between the two events, roughly 120 days. Adopting $\Lpk=10^{41}$  erg s$^{-1}$ and $\t2=2$ days, if we assume $t_{\rm rad}=120$ days we  can infer that the quiescent luminosity of the \spock progenitor would  be $L_{\rm qui}\sim10^{39.5}$ erg s${-1}$ ($M_V\sim-10$). This is a  very reasonable quiescent luminosity value for the massive  ($>10\Msun$) progenitor stars expected for LBVs.  Although the above discussion shows that the observations of the  \spock transients are largely consistent with the observed  characteristics of known LBV systems, this does not mean that we have  a viable physical model to explain these events. Rapid transient  episodes in LBVs such as SN 2002kg and SN 2009ip may best be explained  by a sudden ejection of an optically thick shell  \citep[e.g.,][]{Smith:2010, Smith:2011b}, or by some form of S  Dor-type variability \citep{Weis:2005, VanDyk:2006, Foley:2011}, which  may be driven by stellar pulsation rather than mass ejection  \citep{VanGenderen:1997, VanGenderen:2001}.  For massive stars such as \etacar at its great eruption and the  rapidly varying SN 2009ip, the effective photospheric radius during  eruption must have been comparable to the orbit of Saturn  \citep[$10^{14}$ cm;][]{Davidson:1997, Smith:2011b, Foley:2011}. With  observed photospheric velocities of order 500 km s$^{-1}$ for such  events, the dynamical timescale of the extended photosphere is on the  order of tens to hundreds of days. Thus, if the very rapid light  curves of both \spock events are indeed LBV eruptions, then they will  be near the extreme limits of physical models for massive stellar  eruptions.  %To examine the temperature and total energy output, we first make a  %set of (admittedly unfounded) assumptions: (1) the two outbursts had a  %very similar SED; (2) the last observed epoch for each event  %corresponds to the same phase relative to the true epoch of peak  %brightness; and (3) the lensing magnifications for the two events are  %the same. These simplifying assumptions allow us to jointly apply the  %optical observations of \spockone and the NIR observations of  %\spocktwo as constraints on the SED in any given epoch. We then set  %an assumption for the epoch of peak brightness, make another  %assumption for the magnification of both events, and then fit a  %blackbody to the resulting extrapolated SED. From this blackbody fit  %we derive a temperature and integrate to get an estimate of the  %pseudo-bolometric luminosity. The resulting inferred physical  %parameters are plotted in Figure~\ref{fig:DerivedPhysicalParameters}.  \subsection{Recurrent Nova}  Novae are represented in  Figure~\ref{fig:PeakLuminosityDeclineTimeWide} as a grey band, which  traces the maximum magnitude - rate of decline (MMRD) relation. Nova  explosions occur in binary star systems in which the more massive star  is a white dwarf that accretes matter from its companion, which may be  a main sequence dwarf or evolved giant star overfilling its Roche  Lobe. The white dwarf builds up a dense layer of H-rich material on  its surface until the high pressure and temperature triggers nuclear  fusion, resulting in a surface explosion that causes the white dwarf  to brighten by several orders of magnitude, but does not completely  disrupt the star. In a recurrent nova (RN) system, the mass transfer  from the companion to the white dwarf restarts after the explosion, so  the cycle may begin again and repeat after a period of months or  years.  The seminal work of \citet{Zwicky:1936} and \citet{McLaughlin:1939}  first showed that more luminous novae within the Milky Way tend to  have more rapidly declining light curves, which is now the basis of  the maximum-magnitude versus rate-of-decline (MMRD) relationship. The  basic form of the MMRD relation has been theoretically attributed to a  dependence of the peak luminosity on the mass of the accreting white  dwarf \citep[e.g.][]{Livio:1992}. Studies of extragalactic novae  reaching as far as the Virgo cluster have shown that the MMRD relation  is broadly applicable to all nova populations, though with significant  scatter  \citep[e.g.][]{Ciardullo:1990,DellaValle:1995,Ferrarese:2003,Shafter:2011}.  Amidst that scatter, there may also be sub-populations of novae that  deviate from the traditional MMRD form \citep{Kasliwal:2011a}, and  recurrent novae (RNe) in particular may be poorly represented by the  MMRD \citep{Shafter:2011,Hachisu:2015}  In Figure~\ref{fig:PeakLuminosityDeclineTimeWide}, the dark grey  region follows the empirical constraints on the MMRD from  \citet{DellaValle:1995}, and the wider light grey band allows for the  increased scatter about that relation that has been noted from more  extensive surveys of novae in the Milky Way \citep{Downes:2000}, M31  \citep{Shafter:2011} and elsewhere in the local group  \citep{Kasliwal:2011a}. Nova outbursts can exhibit decline times from  $\sim$1 day to many months, so the timescale of the \spock light  curves can easily be accommodated by the nova scenario. However, the  peak luminosities inferred for the \spock events are larger than any  known novae, perhaps by as much as 2 orders of magnitude.  Figure~\ref{fig:PeakLuminosityDeclineTime} shows a narrower slice of  the same phase space as in  Figure~\ref{fig:PeakLuminosityDeclineTimeWide}, zooming in on the  ``fast and faint'' region from the lower left corner. The observed  constraints from the two published kilonova candidates are shown,  which provide only lower limits on the peak luminosity  \citep{Tanvir:2013}, or the decline timescale \citep{Perley:2009}.  Two .Ia candidates are also plotted, SN 2002bj \citep{Poznanski:2010}  and SN 2010X \citep{Kasliwal:2010}. The sample of observed nova  outbursts (shown as solid points) demonstrates the observed scatter  about the MMRD relation.  One primary line of evidence supporting the nova hypothesis  comes from the \spock light curves. Many RN light curves are similar  in shape to the \spock episodes, exhibiting a sharp rise ($<10$ days  in the rest-frame) and a similarly rapid decline.  Figure~\ref{fig:RecurrentNovaLightCurveComparison} compares the \spock  light curves to template light curves from RNe within our galaxy and  in M31. There are 10 known RNe in the Milky Way galaxy, and 7 of  these exhibit outbursts that decline rapidly, fading by 2 magnitudes  in less than 10 days \citep{Schaefer:2010}  % U Sco, V2487 Oph, V394 CrA, T CrB, RS Oph, V745 Sco, and V3890 Sgr.  The gray shaded region in  Figure~\ref{fig:RecurrentNovaLightCurveComparison} encompasses the V  band light curve templates for all 7 of these events, from  \citet{Schaefer:2010}. The Andromeda galaxy (M31) also hosts at least  one RN with a rapidly declining light curve. The 2014 eruption of  this well-studied nova, M31N 2008a-12, is shown as a solid black line  in Figure~\ref{fig:RecurrentNovaLightCurveComparison}, fading by 2  mags in less than 3 days. This comparison demonstrates that the  sudden disappearance of both of the \spock transient events is fully  consistent with the eruptions of known RNe in the local universe.  The rise time of the \spock events is somewhat out of the ordinary for  nova outbursts. In particular, for recurrent nova eruptions that  decline rapidly ($t_2<10$ days) they tend to also reach peak  brightness very quickly, on timescales $<1$ day  \citep{Schaefer:2010}. The 2014 eruption of the rapid-recurrence nova  M31N 2008a-12 reached maximum brightness in a little under 1 day  \citep{Darnley:2015}. However, the rise time for nova eruptions is  poorly constrained, as rapid-cadence imaging is rarely secured until  after an initial detection near peak brightness. Unlike the situation  with a kilonova light curve, there is no a priori physical expectation  for an especially rapid rise to peak in nova light curves.  Among the most luminous classical novae known, a similarly rapid  decline time is not unheard of. For example, the bright nova  M31N-2007-11d had $t_2 = 9.5$ days \citep{Shafter:2009}. The  extremely luminous nova SN 2010U had $t_2 = 3.5 \pm 0.3$  \citep{Czekala:2013}. The nova L91 required at least 4 days to rise  to maximum \citep{Shafter:2009}, and then declined with $t_2 = 6 \pm  1$ days \citep{DellaValle:1991, Williams:1994, Schwarz:2001}.  Another reason to consider the RN model is that it provides a  natural explanation for having two separate explosions that are  coincident in space but not in time. If \spock is a RN, then the two  observed episodes can be attributed to two distinct nova eruptions,  and the gravitational lensing time delay does not need to match the  observed 8 month separation between the January and August 2014  appearances.  Although {\it qualitatively} consistent with the 8-month separation,  the RN model is strained by a quantitative assessment of the  recurrence period. If \spock is indeed a RN at $z=1$, then the  recurrence timescale in the rest-frame is $120\pm30$ days ($3-5$  months), where the uncertainty accounts for the $1\sigma$ range of  modeled gravitational lensing time delays. This would be a singularly  rapid recurrence period, significantly faster than all 11 RNe in our  own galaxy, which have recurrence timescales ranging from 15 years (RS  Oph) to 80 years (T CrB). For the 5 galactic RNe with a rapidly  declining outburst light curve (U Sco, V2487 Oph, V394 CrA, T CrB, and  V745 Sco), the median recurrence timescale is 21 years. The fastest  measured recurrence timescale belongs to the Andromeda galaxy nova  M31N 2008a-12, which has exhibited a new outburst every year from  2009-2015  \citep{Tang:2014,Darnley:2014,Darnley:2015,Henze:2015,Henze:2015a}. Although  this M31 record-holder demonstrates that very rapid recurrence is  possible, classifying \spock as a RN would still require a very  extreme mass transfer rate to accommodate the $<1$ year recurrence.  Another major concern with the RN hypothesis for \spock is apparent  in Figure~\ref{fig:PeakLuminosityDeclineTime}, which shows that the  two \spock events are substantially brighter than all known novae --  perhaps by as much as 2 orders of magnitude. One might attempt to  reconcile the \spock luminosity more comfortably with the nova class  by assuming a significant lensing magnification for one of the two  events. This would drive down the intrinsic luminosity, perhaps to  $\sim10^{40}$ erg s${-1}$, on the edge of the nova region. However,  this assumption implicitly moves the lensing critical curve to be  closer to the \spock event in question. That pulls the critical curve  away from the other \spock position, which makes that second event  {\it more inconsistent} with observed nova peak luminosities.   \subsubsection{Physical Implications of the RN Model}  The physical limits of the RN model are best evaluated by combining  the two key observables of recurrence period and peak brightness. In  this examination we rely on a pair of papers that evaluated an  extensive grid of nova models through multiple cycles of outburst and  quiescence \citep{Prialnik:1995,Yaron:2005}.  Figure~\ref{fig:RecurrentNovaRecurrenceComparison} plots first the RN  outburst amplitude (the apparent magnitude between outbursts minus the  apparent magnitude at peak) and then the peak luminosity against the  log of the recurrence period in years.  % The observations for \spock   % are shown in comparison to observed RNe (crosses) and theoretical  % models (circles) from \citet{Yaron:2005}.  For the \spock events we can only measure a lower limit on the  outburst amplitude, since the presumed progenitor star is unresolved,  so no measurement is available at  quiescence. Figure~\ref{fig:RecurrentNovaRecurrenceComparison} shows  that a recurrence period as fast as one year is expected only for a RN  system in which the primary WD is both very close to the Chandrasekhar  mass limit (1.4 \Msun) and also has an extraordinarily rapid mass  transfer rate ($\sim10^{-6}$ \Msun yr$^{-1}$). The models of  \citet{Yaron:2005} suggest that such systems should have a very low  peak amplitude (barely consistent with the lower limit for \spock) and  a low peak luminosity ($\sim$100 times less luminous than the \spock  events).  The closest analog for the \spock events from the population of known  RN systems is the nova M31N\,2008a-12. \citet{Kato:2015} provided a  theoretical model that can account for the key observational  characteristics of this remarkable nova: the very rapid recurrence  timescale ($<$1 yr), fast optical light curve ($\t2\sim2$ days), and  short supersoft x-ray phase \citep[6-18 days after optical  outburst][]{Henze:2015a}. To match these observations,  \citeauthor{Kato:2015} invoke a 1.38 \Msun white dwarf primary,  drawing mass from a companion at a rate of $1.6\times10^{-7}$ \Msun  yr$^{-1}$. This is largely consistent with the theoretical  expectations derived by \citet{Yaron:2005}, and reinforces the  conclusion that a combination of a high mass white dwarf and efficient  mass transfer are the key ingredients for rapid recurrence and short  light curves. The one feature that can not be effectively explained  with this scenario is the peculiarly high luminosity of the \spock  events -- even after accounting for the very large uncertainties. If  the \spock transients are caused by a single RN system, then that  progenitor system would be the most extreme WD binary yet known.  \section{Non-explosive Astrophysical Transients}  There are several categories of astrophysical transients that are not  related to stellar explosions, and we find that these models cannot  accommodate the observations of the \spock transients. We may first  dismiss any of the category of {\it periodic} sources (e.g. Cepheids,  RR Lyrae, or Mira variables) that exhibit regular changes in flux due  to pulsations of the stellar photosphere. These variable stars do not  exhibit sharp, isolated transient episodes that could match the \spock  light curve shapes.  We can also rule out active galactic nuclei (AGN), in which brief  transient episodes (a few days in duration) may be observed from X-ray  to infrared wavelengths \citep[e.g.][]{Gaskell:2003}. The AGN  hypothesis for \spock is disfavored for three primary reasons:  %principally due to the quiescence of the  %\spock sources between the two observed episodes.  First, AGN that exhibit short-duration transient events also typically  exhibit slower variation on much longer timescales, which is not  observed at either of the \spock locations. Second, the spectrum  of the \spock host galaxy shows none of the broad emission lines that  are often (though not always) observed in AGN. Third, an AGN would  necessarily be located at the center of the host galaxy.  %The severe distortion of the  %host galaxy images makes it impossible to identify the location of the  %host center in images 11.1 and 11.2 from the galaxy morphology. Any  %spatial reconstruction at the source plane from the lens models would  %not be not precise enough for a useful test. However, since  %gravitational lensing is achromatic, if the \spock positions are  %coincident with the host galaxy center, then the color of the galaxy  %at each \spock location in images 11.1 and 11.2 should be consistent  %with the color at the center of the less distorted image 11.3.  In Section~\ref{sec:HostGalaxy}  we saw that there are minor differences in the host galaxy properties  (i.e. rest-frame U-V color and mean stellar age) from the \spockone  and \spocktwo locations to the center of the host galaxy at image 11.3  Although by no means definitive, this suggests that the \spock events  were not located at the physical center of the host galaxy, and  therefore are not related to an AGN. \todo{Update with MUSE results}  Stellar flares provide a third very common source for optical  transient events. Relatively mild stellar flares may be caused by  magnetic activity in the stellar atmosphere, and the brightest flare  events (so-called ``superflares'') may be generated by perturbations  to the stellar atmosphere via interactions from a disk, a binary  companion, or a planet. In these circumstances the stars release a  {\em total} energy in the range of $10^{33}$ to $10^{38}$ erg over a  span of minutes to hours \citep{Balona:2012,Karoff:2016}. This falls  far short of the observed energy release from the \spock transients,  so we can also dismiss stellar flares as implausible for this source.  \subsection{Microlensing}  In the presence of strong gravitational lensing it is possible to  generate a transient event from lensing effects alone. In this case  the background source has a steady luminosity but the relative motion  of the source, lens, and observer causes the magnification of that  source to change rapidly with time.  A commonly observed example is the microlensing of a bright background  source (a quasar) by a galaxy-scale lens \citep{Wambsganss:2001,  Kochanek:2004}. In this optically thick microlensing regime, the  lensing potential along the line of sight to the quasar is composed of  many stellar-mass objects. Each compact object along the line of  sight generates a separate critical lensing curve, resulting in a  complex web of overlapping critical curves. As all of these lensing  stars are in motion relative to the background source, the web of  caustics will shift across the source position, leading to a  stochastic variability on timescales of months to years. This  scenario is inconsistent with the observed data, as the two \spock  events were far too short in duration and did not exhibit the repeated  ``flickering'' variation that would be expected from optically thick  microlensing.  A second possibility is through an isolated strong lensing event with  a rapid timescale, such as a background star crossing over a lensing  critical curve. This corresponds to the optically thin microlensing  regime, and is similar to the ``local'' microlensing light curves  observed when stars within our galaxy or neighboring dwarf galaxies  pass behind a massive compact halo object \citep{Paczynski:1986,  Alcock:1993, Aubourg:1993, Udalski:1993}. In the case of a star  crossing the caustic of a smooth lensing potential, the amplification  of the source flux would increase (decrease) with a characteristic  $t^{-1/2}$ profile as it moves toward (away from) the caustic. This  slowly evolving light curve transitions to a very sharp decline (rise)  when the star has moved to the other side of the caustic  \citep{Schneider:1986, MiraldaEscude:1991}. With a more complex lens  comprising many compact objects, the light curve would exhibit a  superposition of many such sharp peaks \citep{Lewis:1993}.  To generate an isolated microlensing event, the background source  would have to be the dominant source of luminosity in its environment,  meaning it must be a very bright O or B star with mass of order 10  \Msun. Depending on its age, the size of such a star would range from  a few to a few dozen times the size of the sun. The net relative  transverse velocity would be on the order of a few 100 km/s, which is  comparable to the orbital velocity of stars within a galaxy or  galaxies within a cluster. In the case of a smooth cluster potential---the  %timescale  %$\tau$ for the light curve of such a caustic crossing event is  %dictated by the radius of the source, $R$, and the net transverse  %velocity, $v$, of the source across the caustic, as:  %  %\begin{equation}  % \tau = 6\frac{R}{5\,\Rsun}\frac{300 {\rm km~ s}^{-1}}{v}~\rm{hr}  %\label{eqn:caustic_crossing_time}  %\end{equation}  %  %  %\noindent Thus, the  characteristic timescale of such an event would be on the order of  hours or days \citet{Chang:1979,Chang:1984,MiraldaEscude:1991}, which  is in the vicinity of the timescales observed for the \spock events.  However, if we apply this scenario to the \macs0416 field, we can not  plausibly generate two events with similar decay timescales at  distinct locations on the sky. This is because a caustic-crossing  transient event must necessarily appear at the location of the lensing  critical curve, but in this case the critical curve most likely passes  between the two observed \spock locations. At best, a caustic crossing  could account for only one of the \spock events, not both.         

\subsection{Color Curves}\label{sec:ColorCurves} Curves.}\label{sec:ColorCurves}  Atredshift  $z=1$ the observed optical and infrared bands translate to rest-frame ultraviolet (UV) and optical wavelengths, respectively. To
  derive rest-frame UV and optical colors from the observed photometry,  we start with the measured magnitude in a relatively blue band (F435W 

broad bands for each transient event at each epoch. For consistency  with past published results, we include in each K correction a  transformation from AB to Vega-based magnitudes. The resulting UV and  optical colors are plotted in Supplementary  Figure~\ref{fig:ColorCurves}. Both \spockone and \spocktwo show little or no color variation over the  period where color information is available. This lack of color  evolution is compatible with all three of the primary hypotheses 

If these two events are from a single source then one could construct  a composite SED from rest-frame UV to optical wavelengths by combining  the NW and SE flux measurements, but only after correcting for the  relative magnification. Figure~\ref{fig:LightCurves} shows that the observed peak brightnesses for the two events agree to within $\sim30\%$. This implies that for any composite SED, the rest-frame UV to optical flux ratio is approximately equal to the NW:SE magnification ratio, and any extreme asymmetry in the magnification would indicate a very steep slope in the SED.        

(1) they were separate rapid outbursts of an LBV star, (2) they were  surface explosions from a single RN, or (3) they were each caused by  the rapidly changing magnification as two unrelated massive stars  crossed over lensing caustics. We can not cannot  make a definitive choice between these hypotheses, principally due to the scarcity of  observational data and the uncertainty in the location of the  lensing critical curves.  If there is just a single critical curve for a source at $z=1$ passing  between the two \spock locations locations,  then our preferred explanation for the \spock events is that we have observed two distinct eruptive  episodes from a massive LBV star.  %The light curve shape is consistent         

\end{center}  \end{figure*}  %\end{multicols}  \input{LensingSummaryTable.tex}  %\begin{multicols}{2}  \begin{figure*}[tbp]  \begin{center} \includegraphics[width=1\textwidth]{./figures/spock_lightcurves/spock_lightcurves_flux}  \caption{ \protect\input{./figures/spock_lightcurves/caption.tex}} \includegraphics[width=\textwidth]{./figures/spock_predictions/spock_predictions}  \caption{\protect\input{./figures/spock_predictions/caption.tex}}  \end{center} \end{figure*}  \begin{figure*}[tbp]  \begin{center}  \includegraphics[width=\textwidth]{./figures/spock_critical_curves/spock_critical_curves} \includegraphics[width=\textwidth]{./figures/spock_critical_curves/spock_critical_curves.png}  \caption{\protect\input{./figures/spock_critical_curves/caption.tex}}  \end{center}  \end{figure*}  \begin{figure*}[tbp]  \begin{center}  \includegraphics[width=1\textwidth]{./figures/spock_lightcurves/spock_lightcurves_flux}  \caption{ \protect\input{./figures/spock_lightcurves/caption.tex}}  \end{center}  \end{figure*}  \begin{figure*}[tbp]  \begin{center}  \includegraphics[width=0.48\textwidth]{./figures/peakluminosity_vs_declinetime/peakluminosity_vs_declinetime_sn} 

\end{center}  \end{figure*}  \begin{figure*}[tbp]  \begin{center}  \includegraphics[width=\textwidth]{./figures/spock_predictions/spock_predictions}  \caption{\protect\input{./figures/spock_predictions/caption.tex}}  \end{center}  \end{figure*}  %\end{multicols}  \input{LensingSummaryTable.tex}  %\begin{multicols}{2}         

To examine whether the two transients originated from the same  physical location in the source plane, we looked for differences in  the properties of the \spock host galaxy at the location of each  event. We first used the technique of ``pixel-by-pixel'' SED fitting  as described in \citet{Hemmati:2014} fitting\cite{Hemmati:2014}  to determine rest-frame colors and stellar properties in a single resolution element of the \HST imaging data. For this purpose we used the deepest possible stacks of \HST images, comprising all available data except those images where the transient events were present. The resulting maps of stellar population properties are shown in Supplementary  Figure~\ref{fig:HostProperties}. Supplementary  Table~\ref{tab:HostProperties} reports measurements of the three derived stellar population properties (color, mass, age) from host images 11.1, 11.2 and 11.3. In 11.1 and 11.2 these measurements were extracted from the central pixel at the location of each of the two \spock events. The lensing magnification here ranges from $\mu=10$ to 100 (see Section~\ref{sec:LensingModels}), 200,  corresponding to a size on the source plane between 6 and 600 pc$^2$. For host image 11.3 we report the stellar population properties derived from the pixel at the center of the galaxy, because the lens models do not have sufficient precision to map the \spock locations to specific positions in image 11.3. With a magnification of $\sim$3 to 5, this extraction region covers roughly 2000 to 6000 pc$^2$.\begin{deluxetable}{lccc}  \tablewidth{0.7\linewidth}  \tablecolumns{6}  \tablecaption{Properties of the local stellar population in the \spock host galaxy, from SED fitting.}  \tablehead{ {Host image:} & \colhead{11.1} & \colhead{11.2} & \colhead{11.3}\\  {Location:} & \colhead{\spocktwo} & \colhead{\spockone} & \colhead{center}}  \startdata  $(U-V)_{\rm rest}$ & 0.69$^{+0.2}_{-0.05}$ & 0.52$^{+0.15}_{-0.10}$ & 0.39$\pm$0.05 \\  $\log[\Sigma (M_*/\Msun)]$ & 7.14 $\pm$ 0.15 & 7.14 $\pm$ 0.15 & 7.04 $\pm$ 0.10 \\  Age (Gyr) & 0.292$\pm$0.5 & 0.290$\pm$0.5 & 0.292$\pm$0.5   \enddata  \label{tab:HostProperties}  \end{deluxetable}  The reported uncertainties for these derived stellar properties in  Table~\ref{tab:HostProperties} reflect only the measurement errors 

galaxies and varies significantly across the \MACS0416 field. Such a  bias might shift the absolute values of the parameter scales for any  given host image (e.g., making the galaxy as a whole appear bluer,  more massive massive,  and younger). However, the gradients across any single host image are unlikely to be driven primarily by such systematics.  Supplementary  Figure~\ref{fig:HostProperties} and Supplementary  Table~\ref{tab:HostProperties} show that the measured values of the color, stellar mass, and age at the two \spock locations are mutually consistent. Thus, it is plausible to assume that the two positions map back to the same physical location at the source plane. Comparing those two locations to the center of the galaxy as defined in image 11.3, we see only a mild tension in the rest-frame U-V rest frame $U-V$  color. This comparison therefore cannot quantitatively rule out the possibility that the two transient events are located at the center of the galaxy. However, the maps shown in Supplementary  Figure~\ref{fig:HostProperties} do show a gradient in both U-V $U-V$  color and stellar age. For both images 11.1 and 11.2 the bluest and youngest stars (U-V$\sim$0.3, $\tau\sim$280 ($U-V\approx0.3$,  $\tau\approx280$  Myr) are localized in knots near the extreme ends of each image, well separated from either of the \spock transient events. In the less distorted host image 11.3 the bluer and younger stars are concentrated near the center. Taken together, these color and age gradients suggest that the two transients are not coincident with the center of their host galaxy. \input{muse_linefits}  In addition to the \HST imaging data, we also have spatially resolved  spectroscopy from the MUSE integral field data. The only significant spectral line feature for the \spock host is the \forbidden{O}{ii}  ($\lambda\lambda$ $\lambda\lambda$  3726, 3729) 3729  doublet, observed at 7474 and 7478 \AA. To examine this feature in detail, one-dimensional spectra were extracted from the three-dimensional MUSE data cube at a series of locations along the \spock host galaxy host-galaxy  arc. Supplementary  Figure~\ref{fig:MUSEOIISequence} depicts the apertures used for these extractions, shows the observed \forbidden{O}{ii} lines at the  \spock-NW and SE positions, and compares the \forbidden{O}{ii} line  profiles to other positions along the length of the host galaxy host-galaxy  arc. At each position the lines were extracted using apertures with a  radius of 0\farcs6, $0.6''$,  so adjacent extractions are not independent, although the two extractions centered on the \spockone and -SE  positions have no overlap.  

emerged from independent sources. For a visual test for spectral  deviations, we first constructed a mean spectrum by averaging the 1-D  spectra from five non-overlapping apertures (apertures 1, 3, 5, 7,  9). To account for differences in magnification and host galaxy host-galaxy  intensity across the arc, each input spectrum was normalized at the  wavelength 7477.7 $\AA$, \AA,  which corresponds to the center of the $\lambda$3729 component of the \forbidden{O}{ii} emission line. This  mean spectrum was then subtracted from the 1-D spectrum of each  aperture, producing a set of ``residual spectra,'' shown in  Supplementary  Figure~\ref{fig:MUSEOIISequence} in the lower left lower-left  panel. These spectra show no indication of a systematic trend in the wavelength  position, shape or line ratio across the arc. Similarly, a comparison  of the spectra from the \spock-NW and SE locations (right panels of  Supplementary  Figure~\ref{fig:MUSEOIISequence}) reveals no significant difference in the \forbidden{O}{ii} line shapes.  This qualitative comparison is born borne  out by a more quantitative assessment, reported in Table~\ref{tab:MuseLineFits}. We fit a  Gaussian profile to each component of the \forbidden{O}{ii} doublet,  separately in each extracted 1-D spectrum. From these fits we measured  the integrated line flux, observed wavelength of line center  ($\lambda_{\rm center}$), full width at half maximum intensity  (FWHM), and the intensity ratio of the two components of the doublet. These  quantities--all quantities---all  reported in Table~\ref{tab:MuseLineFits}--do Table~\ref{tab:MuseLineFits}---do  not exhibit any discernible gradient across the host galaxy. Thus, the  \forbidden{O}{ii} measurements from MUSE cannot be used to distinguish  either \spock location from the other, or to definitively answer           

\begin{deluxetable}{lccc}  \tablewidth{0.7\linewidth}  \tablecolumns{6}  \tablecaption{Properties of the local stellar population in the \spock host galaxy, from SED fitting.}  \tablehead{ {Host image:} & \colhead{11.1} & \colhead{11.2} & \colhead{11.3}\\  {Location:} & \colhead{\spocktwo} & \colhead{\spockone} & \colhead{center}}  \startdata  $(U-V)_{\rm rest}$ & 0.69$^{+0.2}_{-0.05}$ & 0.52$^{+0.15}_{-0.10}$ & 0.39$\pm$0.05 \\  $\log[\Sigma (M_*/\Msun)]$ & 7.14 $\pm$ 0.15 & 7.14 $\pm$ 0.15 & 7.04 $\pm$ 0.10 \\  Age (Gyr) & 0.292$\pm$0.5 & 0.290$\pm$0.5 & 0.292$\pm$0.5   \enddata  \label{tab:HostProperties}  \end{deluxetable}         

When a star explodes or a relativistic jet erupts from near the edge  of a black hole, the event can be visible across many billions of  light-years. Such extremely luminous astrophysical transients as  supernovae (SNe), gamma ray bursts gamma-ray bursts,  and quasars are powerful tools for probing cosmic history and sampling the matter and energy content of  the universe. Less energetic transients generated by the tumultuous  atmospheres of massive stars or the interactions of close stellar 

%maximize the area of sky covered while remaining sensitive to their  %primary targets---relatively bright Type Ia SNe.  Although recent surveys are beginning to discover more and progressively  more categories of rapidly changing optical  transients\cite{Kasliwal:2011a,Drout:2014}, most programs remain  largely insensitive to transients with peak brightness and timescales 

such transients, and can be expected to reveal many new categories of  astrophysical transients.  As shown in Fig.~\ref{fig:SpockDetectionImages}, Figure~\ref{fig:SpockDetectionImages},  the \spock events appeared in \HST imaging collected as part of  the Hubble Frontier Fields (HFF) survey\cite{Lotz:2017}, a multi-cycle  program for deep imaging of 6 massive galaxy clusters and associated 

relatively high redshift ($z\gtrsim1$) in these fields are made  detectable by the substantial gravitational lensing magnification from  the foreground galaxy clusters. Very rapidly evolving sources are  also more likely to be found, due owing  to the necessity of a rapid cadence for repeat imaging in the HFF program.         

\subsection{Luminous Blue Variable Light Curve Comparison}  \label{sec:LBVlightcurves}  Extended Data Fig.~\ref{fig:LBVLightCurveComparison} presents a direct  comparison of the observed \spock light curves against the light  curves of the two LBVs that have well-studied rapid eruptions: SN  2009ip and NGC3432-LBV1. The brief outbursts of these LBVs have been  less finely sampled than the two \spock events, but the available data  show a wide variety of rise and decline times, even for a single  object over a relatively narrow time window of a few months. \subsection{LBV Build-up timescale}\label{sec:LBVbuildup} Timescale and Quiescent Luminosity.}\label{sec:LBVbuildup}  To explore some of the physical implications of an LBV classification  for the two \spock events, we first make a rough estimate of the total 

\end{equation}  \noindent where $\zeta$ is a dimensionless factor of order unity that  depends on the precise shape of the light curve\cite{Smith:2011b}. Note that earlier work\cite{Smith:2011b} has used $t_{1.5}$ instead of $t_2$, which amounts to a different light curve light-curve  shape term, $\zeta$. Adopting \Lpk$\sim10^{41}$ \Lpk$\approx10^{41}$  erg s$^{-1}$ and \t2$\sim$1 \t2$\approx$1  day (as shown in Figure~\ref{fig:PeakLuminosityDeclineTime}), Fig.~\ref{fig:PeakLuminosityDeclineTime}),  we find that the total radiated energy is $E_{\rm rad}\sim10^{46}$ rad}\approx10^{46}$  erg. A realistic range for this estimate would span $10^{44}  uncertainties in the magnification, bolometric luminosity correction,  decline time, and light curve light-curve  shape. These uncertainties notwithstanding, our estimate falls well within the range of plausible values for the total radiated energy of a major LBV outburst. The ``build-up'' timescale\citep{Smith:2011b} matches the radiative  energy released in an LBV eruption event with the radiative energy  produced during the intervening quiescent phase: phase,  \begin{equation}  \label{eqn:trad} 

and a gravitational lensing time delay of $\sim$40 days). Adopting  $\Lpk=10^{41}$ erg s$^{-1}$ and $\t2=2$ days (see  Figure~\ref{fig:PeakLuminosityDeclineTime}), we infer that the  quiescent luminosity of the \spock progenitor would be $L_{\rm qui}\sim10^{39.5}$ qui}\approx10^{39.5}$  erg s$^{-1}$ ($M_V\sim-10$). ($M_V\approx-10$ mag).  %Rapid transient episodes in LBVs may           

\subsection{LBV Light-Curve Comparison.}  \label{sec:LBVlightcurves}  Supplementary Figure~\ref{fig:LBVLightCurveComparison} presents a direct  comparison of the observed \spock light curves against the light  curves of the two LBVs that have well-studied rapid eruptions: SN  2009ip and NGC3432-LBV1. The brief outbursts of these LBVs have been  less finely sampled than the two \spock events, but the available data  show a wide variety of rise and decline times, even for a single  object over a relatively narrow time window of a few months.           

\subsection{Lens Model Variations.}\label{sec:LensModelVariations}  Supplementary Figure~\ref{fig:LensModelContours} presents probability  distributions for the three magnifications and two time delay values  of interest. These distributions were derived by combining the Monte  Carlo chains from the CATS, GLAFIC, GLEE, and ZLTM models, and  individual runs of the GRALE model, which uses a different random seed  for each run. We applied a weight to each model to account for the  different number of model iterations used by each modeling team. All  five of these models agree that host image 11.3 is the leading image,  appearing some 3--7 years before the other two images. The models do  not agree on the arrival sequence of images 11.1 and 11.2: some have  the NW image 11.2 as a leading image, and others have it as a trailing  image. However, the models do consistently predict that the  separation in time between those two images should be roughly in the  range of 1 to 60 days.  Because of the proximity of the critical curves in all models, the  predicted time delays and magnification factors are significantly  different if calculated at the model-predicted positions instead of  the observed positions. For example, in the GLEE model series (GLEE  and GLEE-var) when switching from the observed to model-predicted  positions the arrival order of the NW and SE images flips, the  expected time delay drops from tens of days to $<$1 day, and the  magnifications change by 30-60\%. However, the expected  magnifications and time delays between the events still fall within  the broad ranges summarized in Table~\ref{tab:LensModelPredictions}  and shown in Supplementary Figure~\ref{fig:LensModelContours}. Regardless of  whether the model predictions are extracted at the observed or  predicted positions of the \spock events, none of the lens models can  accommodate the observed 234-day time difference as purely a  gravitational lensing time delay.  We used variations of several lens models to investigate how the  lensing critical curves shift under a range of alternative assumptions  or input constraints. These variations highlight the range of  systematic effects that might impact the model predictions for the  \spock magnifications, time delays and proximity to the critical  curves. Figure~\ref{fig:SpockCriticalCurves} shows the critical  curves for a source at $z=1$ (the redshift of the \spock host galaxy)  predicted by our seven baseline models, plus the four variations  described below. Within a given model, variations that move a  critical curve closer to the position of \spockone\ would drive the  magnification of that event much higher (toward $\mu_{\rm  NW}\approx200$). This generally also has the effect of moving the  critical curve farther from \spocktwo, which would necessarily drive  its magnification downward (toward $\mu_{\rm SE}\approx10$).  The baseline CATS model reported in  Table~\ref{tab:LensModelPredictions} corresponds to the CATSv4.1 model  published on the STScI Frontier Fields lens model repository  (\url{https://archive.stsci.edu/pub/hlsp/frontier/macs0416/models/cats/v4.1/}).  That model uses 178 cluster member galaxies, including a galaxy $<5''$  south of the \spock host galaxy, which creates a local critical curve  that intersects the \spocktwo location. Our CATS-var model is an  earlier iteration of the model, published on the STScI repository as  CATSv4  (\url{https://archive.stsci.edu/pub/hlsp/frontier/macs0416/models/cats/v4/}),  and includes only 98 galaxies identified as cluster members. In this  variation the nearby cluster member galaxy is not included, so the  \spocktwo event is not intersected by a critical curve. However, the  \spockone event is approximately coincident with the primary critical  curve of the \macs0416 cluster. When the critical curve is close to  either \spock location, the magnifications predicted by the CATS model  are driven up to $\mu>100$. However, the time delays remain small, on  the order of tens of days, and incompatible with the observed 234-day  gap.  The WSLAP-var model evaluates whether the cluster redshift  significantly impacts the positioning of the critical curve. In this  merging cluster, the northern brightest cluster galaxy (BCG) has a  slighter higher redshift than the southern BCG. The mean redshift of  the cluster is not precisely determined, since it is likely to be  aligned somewhat along the line of sight. For the WSLAP-var model we  shift the assumed cluster redshift $z=0.4$ from the default $z=0.396$  (used in all the baseline models). The shift in the critical curve is  noticeable, but not substantial, insofar as this change does not drive  the critical curve to intersect either or both of the \spock  locations.  The GLEE-var model is a multi-plane lens model (Chiriv{\`i} et al.,~in  prep.) that incorporates 13 galaxies with spectroscopic redshifts that  place them either in the foreground or background of the \macs0416  cluster. Supplementary Figure~\ref{fig:LineOfSightLenses} marks these  13 galaxies and highlights two of them that appear in the foreground  of the \spock host galaxy and are close to the lines of sight to the  \spock transients. Both the foreground $z=0.0557$ galaxy and the  reconstructed position of the $z=0.9397$ galaxy have a projected  separation of $<$4\arcsec from the \spocktwo transient position.  Including these galaxies in the GLEE lensing model changes the  absolute value of the magnifications at the location of HFF14Spo-NW  (HFF14Spo-SE) to $\sim70$ ($\sim250$) and the time delay between the  two locations to $\sim50$ days. The line-of-sight galaxies also  result in a shift of the position of the critical curve---as can be  seen by comparing the GLEE and GLEE-var models in  Figure~\ref{fig:SpockCriticalCurves}. Nonetheless, the predicted time  delays are still incompatible with the observed gap of 234 days  between events.  The GLAFIC-var model examines whether it is plausible for a critical  curve to intersect both \spock locations---contrary to the baseline  assumption of a single critical curve subtending the \spock host  galaxy roughly midway between the two positions. This model includes  a customized constraint, requiring that the magnification factors at  the \spock positons are $>1000$. To achieve this, we independently  adjusted the mass scaling for the two nearest cluster member galaxies,  which are located just northeast and south of the \spock host galaxy  arc. The mass of the northeast member galaxy was increased by  $\sim$30\% and that of the southern one by $\sim$60\%. As a simple  check of the predicted morphology of the host galaxy, we placed a  source with a simple Sersic profile\cite{Sersic:1963} on the source  plane. The lensed image of that artificial source is an unbroken  elongated arc, reproducing the host galaxy image morphology reasonably  well.  For this modification of the GLAFIC lens model to be justified in a  statistical sense, the revised model should still accurately reproduce  the observed strong-lensing constraints across the entire cluster.  The $\chi^2$ statistic for the baseline GLAFIC model is 240, with 196  degrees of freedom ($\chi^2_\nu=1.2$), and yields an Akaike  information criterion (AIC)\citep{Akaike:1974} of 676. For the  GLAFIC-var model that forces multiple critical curves to intersect the  \spock locations, we get $\chi^2$=331 for 192 degrees of freedom  ($\chi^2_\nu=1.7$) and AIC=769. This suggests that the multiple  critical curve GLAFIC-var model is strongly disfavored by the  {\it positional} strong-lensing constraints that are used for both models.  However, we note that neither model incorporates the temporal  constraints of the observed time delay.   A second variation of the CATS model (CATS-var2) was also used to test  the plausibility of multiple critical curves intersecting the \spock  locations. As in the GLAFIC-var case, this model requires that  critical curves pass very near the \spock positions. The model can  accommodate that constraint, insofar as the root mean square (RMS)  error of the best-fit model is similar to that of the CATS and  CATS-var models. However, in this CATS-var2 model the \spock host  galaxy is predicted to be multiply-imaged 5 times. The \HST images do  not exhibit any breaks or substructure in the arc that would be  generally expected in such a situation.   Moreover, this CATS-var2 model has strong implications for a separate  background galaxy in the vicinity of image 11.3 (system 14 in  \citeref{Caminha:2017}). This galaxy is strongly lensed by a pair of  spectroscopically confirmed cluster member galaxies\citep{Caminha:2017}. Comparing the observed positions of the multiple  images of System 14 against the CATS-var2 model-predicted positions,  we find that this System contributes significantly to the global RMS  error for the model---indicating that the CATS-var2 model can not  accurately reproduce the multiple images of System 14. Conversely,  when this system is removed as a model constraint, the RMS error  decreases, and the CATS-var2 model can more successfully pass the  critical line through the two \spock locations. A possible  interpretation of this is that the established strong lensing  constraints (especially System 14) are incompatible with the  requirement that multiple critical curves must intersect the two  \spock locations.         

\subsection{Gravitational Lens Models}\label{sec:LensingModels} Models.}\label{sec:LensingModels}  %That same transient episode would have appeared at 

%more widely separated image 11.3.  The seven lens models used to provide estimates of the plausible range  of magnifications and time delays are: are as follows:  \bigskip  \begin{itemize}  \item{{\it \item{\it  CATS:} The model of \citet{Jauzac:2014}, \citeref{Jauzac:2014},  version 4.1, generated with the {\tt LENSTOOL} software \citep{Jullo:2007},\footnote{\url{http://projects.lam.fr/repos/lenstool/wiki}}} (\url{http://projects.lam.fr/repos/lenstool/wiki})\citep{Jullo:2007}  using strong lensing constraints. This modelmakes a  light-traces-mass assumption and  parameterizes cluster and galaxy components using pseudo-isothermal elliptical mass distribution (PIEMD) density profiles  \citep{Eliasdottir:2007, profiles\citep{Kassiola:1993,  Limousin:2007}. \item{\it GLAFIC:} The model of \citet{Kawamata:2016}, \citeref{Kawamata:2016},  built using the {\tt GLAFIC}\footnote{\url{http://www.slac.stanford.edu/~oguri/glafic/}} GLAFIC}  software \citep{Oguri:2010b} (\url{http://www.slac.stanford.edu/~oguri/glafic/})\citep{Oguri:2010b}  with strong-lensing constraints. This model assumes simply parametrized mass distributions, and model parameters are constrained using positions of more than 100 multiple images. \item{\it GLEE:} A new model built using the {\tt GLEE} software  \citep{Suyu:2010b, software\citep{Suyu:2010b,  Suyu:2012} with the same strong-lensing constraints used in \citet{Caminha:2017}, \citeref{Caminha:2017},  representing mass distributions with simply parameterized mass profiles. \item{{\it \item{\it  GRALE:} A free-form, adaptive grid model developed using the GRALE software tool \citep{Liesenborgs:2006, tool\citep{Liesenborgs:2006,  Liesenborgs:2007, Mohammed:2014, Sebesta:2016}, which implements a genetic algorithm  to reconstruct the cluster mass distribution with hundreds to  thousands of projected \citet{Plummer:1911} Plummer\citet{Plummer:1911}  density profiles.} profiles.  \item{\it SWUnited:} The model of \citet{Hoag:2016}, \citeref{Hoag:2016},  built using the {\tt SWUnited} modeling method \citep{Bradac:2005, method\citep{Bradac:2005,  Bradac:2009}, in which an adaptive pixelated grid iteratively adapts the mass  distribution to match both strong- and weak-lensing constraints.  Time delay predictions are not available for this model.  \item{\it WSLAP+:} Created with the {\tt WSLAP+} software  \citep{Sendra:2014}: (\url{http://www.ifca.unican.es/users/jdiego/LensExplorer})\citep{Sendra:2014}:  Weak and Strong Lensing Analysis Package plus member galaxies (Note: no weak-lensing constraints were used for this \MACS0416 model).\footnote{\url{http://www.ifca.unican.es/users/jdiego/LensExplorer}}  \item{{\it model).  \item{\it  ZLTM:} A model with strong- and weak-lensing constraints, built using the ``light-traces-mass'' (LTM) methodology  \citep{Zitrin:2009a,Zitrin:2015}, methodology\citep{Zitrin:2009a, Zitrin:2015},  first presented for \MACS0416 in \citet{Zitrin:2013a}.} \citeref{Zitrin:2013a}.  \end{itemize}  \bigskip   Early versions of the {\it SWUnited}, {\it CATS}, {\it ZLTM} and {\it  GRALE} models were originally distributed as part of the Hubble  Frontier Fields lens modeling project,\footnote{For more details, see  \url{https://archive.stsci.edu/prepds/frontier/lensmodels/}} project  (\url{https://archive.stsci.edu/prepds/frontier/lensmodels/}),  in which models were generated based on data available before the start  of the HFF observations to enable rapid early investigations of lensed  sources. The versions of these models applied here are updated to  incorporate additional lensing constraints. In all cases the lens  modelers made use of strong-lensing constraints (multiply-imaged (multiply imaged  systems and arcs) derived from \HST imaging collected as part of the  CLASH program (PI:Postman, HST-PID:12459,  \citealt{Postman:2012}). program\cite{Postman:2012}).  These models also made use of spectroscopic redshifts in the cluster field\cite{Mann:2012, Christensen:2012, Grillo:2015, Caminha:2017}. Input weak-lensing constraints were derived from data collected at the Subaru Telescope by PI K. Umetsu (in prep) and archival imaging. %\citet{Priewe:2016} provides a more complete  %description of the methodology of model and a comparison of the  %magnification predictions and uncertainties across the entire  %\macs0416 field.  Extended Data Fig.~\ref{fig:LensModelContours} presents probability distributions  derived from these models for the three magnifications and two time  delay values of interest. These distributions were derived by  combining the Monte Carlo chains from the CATS, GLAFIC, GLEE, and ZLTM  models, and individual runs of the GRALE model, which uses a different  random seed for each run. We applied a weight to each model to  account for the different number of model iterations used by each  modeling team. All five of these models agree that host image 11.3 is  the leading image, appearing some 3--7 years before the other two  images. The models do not agree on the arrival sequence of images  11.1 and 11.2: some have the NW image 11.2 as a leading image, and  others have it as a trailing image. However, the models do  consistently predict that the separation in time between those two  images should be roughly in the range of 1 to 60 days. As shown in  Extended Data Fig.~\ref{fig:SpockDelayPredictions}, \spockone and \spocktwo are  inconsistent with these predicted time delays if one assumes that they  are delayed images of a single event. However, if these were  independent events, then a time delay on the order of tens of days  between image 11.1 and 11.2 could have resulted in time-delayed events  that were missed by the \HST imaging of this field.  %The angular separation of $1\farcs8$ between the \spock events  %corresponds to a physical separation of many tens of parsecs in the  %source plane. A star could not traverse that distance in the  %$\sim$120 rest-frame days that separate the two \spock events. Thus,  %even with a critical curve smeared out by the effects of the ICL, it  %would be impossible for a single star crossing a single caustic in the  %source plane to be responsible for both transients.  Because of the proximity of the critical curves in all models, the  predicted time delays and magnification factors are significantly  different if calculated at the model-predicted positions instead of  the observed positions. For example, in the GLEE model series (GLEE  and GLEE-var) when switching from the observed to model-predicted  positions the arrival order of the NW and SE images flips, the  expected time delay drops from tens of days to $<$1 day, and the  magnifications change by 30-60\%. However, the expected  magnifications and time delays between the events still fall within  the broad ranges summarized in Table~\ref{tab:LensModelPredictions}  and shown in Figure~\ref{fig:LensModelContours}. Regardless of  whether the model predictions are extracted at the observed or  predicted positions of the \spock events, none of the lens models can  accommodate the observed 234-day time difference as purely a  gravitational lensing time delay.  \subsection{Lens Model Variations}\label{sec:LensModelVariations}  We used variations of several lens models to investigate how the  lensing critical curves shift under a range of alternative assumptions  or input constraints. These variations highlight the range of  systematic effects that might impact the model predictions for the  \spock magnifications, time delays and proximity to the critical  curves. Figure~\ref{fig:SpockCriticalCurves} shows the critical  curves for a source at $z=1$ (the redshift of the \spock host galaxy)  predicted by our seven baseline models, plus the four variations  described below. Within a given model, variations that move a  critical curve closer to the position of \spockone\ would drive the  magnification of that event much higher (toward $\mu_{\rm  NW}\sim200$). This generally also has the effect of moving the  critical curve farther from \spocktwo, which would necessarily drive  its magnification downward (toward $\mu_{\rm SE}\sim10$).  The baseline CATS model reported in  Table~\ref{tab:LensModelPredictions} corresponds to the CATSv4.1 model  published on the STScI Frontier Fields lens model  repository\footnote{\url{https://archive.stsci.edu/pub/hlsp/frontier/macs0416/models/cats/v4.1/}}.  That model uses 178 cluster member galaxies, including a galaxy $<$5  arcsec south of the \spock host galaxy, which creates a local critical  curve that intersects the \spocktwo location. Our CATS-var model is  an earlier iteration of the model, published on the STScI repository  as  CATSv4\footnote{\url{https://archive.stsci.edu/pub/hlsp/frontier/macs0416/models/cats/v4/}},  and includes only 98 galaxies identified as cluster members. In this  variation the nearby cluster member galaxy is not included, so the  \spocktwo event is not intersected by a critical curve. However, the  \spockone event is approximately coincident with the primary critical  curve of the \macs0416 cluster. When the critical curve is close to  either \spock location, the magnifications predicted by the CATS model  are driven up to $\mu>100$. However, the time delays remain small, on  the order of tens of days, and incompatible with the observed 234-day  gap.  The WSLAP-var model evaluates whether the cluster redshift  significantly impacts the positioning of the critical curve. In this  merging cluster, the northern brightest cluster galaxy (BCG) has a  slighter higher redshift than the southern BCG. The mean redshift of  the cluster is not precisely determined, since it is likely to be  aligned somewhat along the line of sight. For the WSLAP-var model we  shift the assumed cluster redshift $z=0.4$ from the default $z=0.396$  (used in all the baseline models). The shift in the critical curve is  noticeable, but not substantial, insofar as this change does not drive  the critical curve to intersect either or both of the \spock  locations.  The GLEE-var model is a multi-plane lens model (Chiriv{\`i} et al.~in  prep.) that incorporates 13 galaxies with spectroscopic redshifts that  place them either in the foreground or background of the \macs0416  cluster. Figure~\ref{fig:LineOfSightLenses} marks these 13 galaxies  and highlights two of them that appear in the foreground of the \spock  host galaxy and are close to the lines of sight to the \spock  transients. Both the foreground $z=0.0557$ galaxy and the  reconstructed position of the $z=0.9397$ galaxy have a projected  separation of $<$4\arcsec from the \spocktwo transient position.  Including these galaxies in the GLEE lensing model changes the  absolute value of the magnifications at the location of HFF14Spo-NW  (HFF14Spo-SE) to $\sim70$ ($\sim250$) and the time delay between the  two locations to $\sim50$ days. The line-of-sight galaxies also  result in a shift of the position of the critical curve--as can be  seen by comparing the GLEE and GLEE-var models in  Figure~\ref{fig:SpockCriticalCurves}. Nonetheless, the predicted time  delays are still incompatible with the observed gap of 234 days  between events.  The GLAFIC-var model examines whether it is plausible for a critical  curve to intersect both \spock locations---contrary to the baseline  assumption of a single critical curve subtending the \spock host  galaxy roughly midway between the two positions. This model includes  a customized constraint, requiring that the magnification factors at  the \spock positons are $>1000$. To achieve this, we independently  adjusted the mass scaling for the two nearest cluster member galaxies,  which are located just northeast and south of the \spock host galaxy  arc. The mass of the northeast member galaxy was increased by  $\sim$30\% and that of the southern one by $\sim$60\%. As a simple  check of the predicted morphology of the host galaxy, we placed a  source with a simple \citet{Sersic:1963} profile on the source  plane. The lensed image of that artificial source is an unbroken  elongated arc, reproducing the host galaxy image morphology reasonably  well.  For this modification of the GLAFIC lens model to be justified in a  statistical sense, the revised model should still accurately reproduce  the observed strong-lensing constraints across the entire cluster.  The $\chi^2$ statistic for the baseline GLAFIC model is 240, with 196  degrees of freedom ($\chi^2_\nu=1.2$), and yields an Akaike  information criterion (AIC)\citep{Akaike:1974} of 676. For the  GLAFIC-var model that forces multiple critical curves to intersect the  \spock locations, we get $\chi^2$=331 for 192 degrees of freedom  ($\chi^2_\nu=1.7$) and AIC=769. This suggests that the multiple  critical curve GLAFIC-var model is strongly disfavored by the  {\it positional} strong-lensing constraints that are used for both models.  However, we note that neither model incorporates the temporal  constraints of the observed time delay.   A second variation of the CATS model (CATS-var2) was also used to test  the plausibility of multiple critical curves intersecting the \spock  locations. As in the GLAFIC-var case, this model requires that  critical curves pass very near the \spock positions. The model can  accommodate that constraint, insofar as the root mean square (RMS)  error of the best-fit model is similar to that of the CATS and  CATS-var models. However, in this CATS-var2 model the \spock host  galaxy is predicted to be multiply-imaged 5 times. The \HST images do  not exhibit any breaks or substructure in the arc that would be  generally expected in such a situation.   Moreover, this CATS-var2 model has strong implications for a separate  background galaxy in the vicinity of image 11.3 (system 14 in  \citet{Caminha:2017}). This galaxy is strongly lensed by a pair of  spectroscopically confirmed cluster member galaxies  \citep{Caminha:2017}. Comparing the observed positions of the multiple  images of System 14 against the CATS-var2 model-predicted positions,  we find that this System contributes significantly to the global RMS  error for the model--indicating that the CATS-var2 model can not  accurately reproduce the multiple images of System 14. Conversely,  when this system is removed as a model constraint, the RMS error  decreases, and the CATS-var2 model can more successfully pass the  critical line through the two \spock locations. A possible  interpretation of this is that the established strong lensing  constraints (especially System 14) are incompatible with the  requirement that multiple critical curves must intersect the two  \spock locations.         

\begin{deluxetable}{lccccc}  \tablewidth{\linewidth} \tablewidth{0.7\textwidth}  \tablecolumns{6}  \tablecaption{Lens model predictions for time delays and  magnifications at the observed locations of the \spock         

\subsection{Light Curve Fitting}\label{sec:LightCurves} Fitting.}\label{sec:LightCurves}  Due to the rapid decline timescale, no observations were collected for  either event that unambiguously show the declining portion of the  light curve. Therefore, we must make some assumptions for the shape of  the light curve in order to quantify the peak luminosity and the  corresponding timescales for the rise and the decline. We first  approach this with a simplistic model that is piece-wise piecewise  linear in magnitude vs time. Supplementary  Figure~\ref{fig:LinearLightCurveFits} shows examples of the resulting fits for the two events. For each fit we  use only the data collected within 3 days of the brightest observed  magnitude, which allows us to fit a linear rise separately for the 

\begin{enumerate}  \item make an assumption for the date of peak, $t_{\rm pk}$;  \item measure the peak magnitude at $t_{\rm pk}$ from the linear fit  to the rising light curve light-curve  data; \item assume the source reaches a minimum brightness (maximum  magnitude) of 30 AB mag at the epoch of first observation after the  peak;  \item draw a line for the declining light curve between the assumed  peak and the assumed minimum brightness;  \item use that declining light curve light-curve  line to measure the timescale for the event to drop by 2 magnitudes, mag,  $t_2$; \item make a new assumption for $t_{\rm pk}$ and repeat.  \end{enumerate}  As shown in Supplementary  Figure~\ref{fig:LinearLightCurveFits}, the resulting piece-wise piecewise  linear fits are simplistic, but nevertheless approximately capture the observed behavior for both events. Furthermore, since  this toy model is not physically motivated, it allows us to remain  agnostic for the time being as to the astrophysical source(s) driving  these transients. From these fits we can see that \spockone most  likely reached a peak magnitude between 25 and 26.5 AB mag in both  F814W and F435W, and had a decline timescale $t_2$ of less than 2 days  in the rest-frame. rest frame.  The observations of \spocktwo provide less stringent constraints, but we see that it had a peak magnitude between  23 and 26.5 AB mag in F160W and exhibited a decline time of less than  seven days. These fits also illustrate the generic fact that a higher 

correcting for the luminosity distance assuming a standard \LCDM  cosmology, and then accounting for an assumed lensing magnification,  $\mu$. The range of plausible lensing magnifications ($10<\mu<100$)  is derived from the union of our six seven  independent lens models (Methods,  Figure~\ref{fig:LensModelContours}). models.  This results in a grid of possible peak luminosities for each event as a function of magnification and time of peak. As we are using linear light curve fits, the assumed time of peak is equivalent to an assumption for the decline time, which we quantify as $t_2$, the time over which the transient declines by 2 magnitudes.        

\subsection{Intracluster Light}\label{sec:ICL} Light.}\label{sec:ICL}  To estimate the mass of intracluster stars along the line of sight to  the \spock events, we follow the procedure of Kelly et al. (in prep) \citeref{Kelly:2017}  and Morishita et al. (in prep). This entails fitting and removing the surface brightness of individual galaxies in the field, then fitting a  smooth profile to the residual surface brightness of intracluster  light (ICL). The surface brightness is then converted to a projected  stellar mass surface density by assuming a Chabrier  \cite{Chabrier:2003} Chabrier\cite{Chabrier:2003}  initial mass function and an exponentially declining star formation history.For further details, see Kelly et  al. (in prep).  This procedure leads to an estimate for the intracluster stellar mass of $\log (\Sigma_{\star} / (M_{\odot}\,{\rm (\Msun\,{\rm  kpc}^{-2})) = 6.9\pm0.4$. This is very similar to the value of $6.8^{+0.4}_{-0.3}$ inferred for the probable caustic crossing star {\it Icarus} (Kelly et al., in prep). M1149 LS1\cite{Kelly:2017}.  \subsection{Expected Timescale for Microlensing Events}\label{sec:Microlensing}  A commonly observed example of microlensing-induced transient effects  is when a bright background source (a quasar) is magnified by a  galaxy-scale lens \citep{Wambsganss:2001, Kochanek:2004}. In this  optically thick microlensing regime, the lensing potential along the  line of sight to the quasar is composed of many stellar-mass objects.  Each compact object along the line of sight generates a separate  critical lensing curve, resulting in a complex web of overlapping  critical curves. As all of these lensing stars are in motion relative  to the background source, the web of caustics will shift across the  source position, leading to a stochastic variability on timescales of  months to years. This scenario is inconsistent with the observed  data, as the two \spock events were far too short in duration and did  not exhibit the repeated ``flickering'' variation that would be  expected from optically thick microlensing.  For the cluster-scale lens relevant in the case of \spock, we should  expect to be in the optically thin microlensing regime. This  situation is similar to the ``local'' microlensing light curves  observed when stars within our galaxy or neighboring dwarf galaxies  pass behind a massive compact halo object \citep{Paczynski:1986,  Alcock:1993, Aubourg:1993, Udalski:1993}. In this case, an isolated  microlensing event can occur if there is a background star (i.e., in  the \spock host galaxy) that is the dominant source of luminosity in  its environment. In practice this means that the source must be a very  bright O or B star with mass of order 10 \Msun. Depending on its age,  the size of such a star would range from a few to a few dozen times  the size of the sun. The net relative transverse velocity would be on  the order of a few 100 km s$^{-1}$, which is comparable to the orbital  velocity of stars within a galaxy or galaxies within a cluster.  In the case of a smooth cluster potential, the timescale $\tau$ for  the light curve of such a caustic crossing event is dictated by the  radius of the source, $R$, and the net transverse velocity, $v$, of  the source across the caustic  \citep{Chang:1979,Chang:1984,MiraldaEscude:1991}:  \begin{equation}  \tau = 6\frac{R}{5\,\Rsun}\frac{300 {\rm km~ s}^{-1}}{v}~\rm{hr}  \label{eqn:caustic_crossing_time}  \end{equation}  \noindent Thus, for reasonable assumptions about the star's radius and  velocity, the timescale $\tau$ is on the order of hours to days, which is well  matched to the observed rise and decline timescales of the \spock  events.           

\subsection{Expected Timescale for Microlensing Events.}\label{sec:Microlensing}  A commonly observed example of microlensing-induced transient effects  is when a bright background source (a quasar) is magnified by a  galaxy-scale lens\citep{Wambsganss:2001, Kochanek:2004}. In this  optically thick microlensing regime, the lensing potential along the  line of sight to the quasar is composed of many stellar-mass objects.  Each compact object along the line of sight generates a separate  critical lensing curve, resulting in a complex web of overlapping  critical curves. As all of these lensing stars are in motion relative  to the background source, the web of caustics will shift across the  source position, leading to a stochastic variability on timescales of  months to years. This scenario is inconsistent with the observed  data, as the two \spock events were far too short in duration and did  not exhibit the repeated ``flickering'' variation that would be  expected from optically thick microlensing.  For the cluster-scale lens relevant in the case of \spock, we should  expect to be in the optically thin microlensing regime. This  situation is similar to the ``local'' microlensing light curves  observed when stars within our Galaxy or neighboring dwarf galaxies  pass behind a massive compact halo object\citep{Paczynski:1986,  Alcock:1993, Aubourg:1993, Udalski:1993}. In this case, an isolated  microlensing event can occur if there is a background star (i.e., in  the \spock host galaxy) that is the dominant source of luminosity in  its environment. In practice this means that the source must be a very  bright O or B star with mass of order 10 \Msun. Depending on its age,  the size of such a star would range from a few to a few dozen times  the size of the Sun. The net relative transverse velocity would be on  the order of a few 100 km s$^{-1}$, which is comparable to the orbital  velocity of stars within a galaxy or galaxies within a cluster.  In the case of a smooth cluster potential, the timescale $\tau$ for  the light curve of such a caustic crossing event is dictated by the  radius of the source, $R$, and the net transverse velocity, $v$, of  the source across the caustic\citep{Chang:1979,Chang:1984,MiraldaEscude:1991} as  \begin{equation}  \tau = \frac{6 R}{5\,\Rsun}\frac{300~{\rm km~ s}^{-1}}{v}~\rm{hr.}  \label{eqn:caustic_crossing_time}  \end{equation}  \noindent Thus, for reasonable assumptions about the star's radius and  velocity, the timescale $\tau$ is on the order of hours to days, which is well  matched to the observed rise and decline timescales of the \spock  events.         

\subsection{Discovery}\label{sec:Discovery} \subsection{Discovery.}\label{sec:Discovery}  The transient \spock\ was discovered in \HST imaging collected as part  of the Hubble Frontier Fields (HFF) survey (HST-PID:13496, PI:Lotz), (HST-PID: 13496, PI: Lotz),  a multi-cycle program observing 6 massive galaxy clusters and associated ``blank sky'' parallel fields. fields\cite{Lotz:2017}.  Several \HST observing programs have provided additional observations supplementing the core HFF program. One of these is the FrontierSN program (HST-PID:13386, PI:Rodney), (HST-PID: 13386, PI: Rodney),  which aims to identify and study explosive transients found in the HFF and related programs. programs\citet{Rodney:2015a}.  The FrontierSN team discovered \spock\ in two separate HFF observing campaigns on the galaxy cluster \MACS0416. The first was an imaging campaign in January, 2014 during which the MACS0416 cluster field was observed in the F435W, F606W, and F814W optical bands using the Advanced Camera for Surveys Wide Field Camera (ACS-WFC). The second concluded in August, 2014, and imaged the cluster with the infrared detector of \HST's Wide Field Camera 3 (WFC3-IR) using the F105W, F125W, F140W, and F160W bands.  To discover transient sources, the FrontierSN team processes each new  epoch of \HST data through a difference imaging  pipeline,\footnote{\url{https://github.com/srodney/sndrizpipe}} difference-imaging  pipeline (\url{https://github.com/srodney/sndrizpipe}),  using archival \HST images to provide reference images (templates) which are  subtracted from the astrometrically registered HFF images. In the case  of MACS0416, the templates were constructed from images collected as  part of the Cluster Lensing And Supernova survey with Hubble (CLASH,  HST-PID:12459, PI:Postman). PI:Postman)\cite{Postman:2012}.  The resulting difference images are visually inspected for new point sources, and any new transients of  interest (primarilysupernovae,  SNe) are followed up monitored  with additional \HST imaging or ground-based spectroscopic observations as needed.For  a more complete description of the operations of the FrontierSN  program\citet{Rodney:2015a}.  \subsection{Photometry}\label{sec:Photometry} \subsection{Photometry.}\label{sec:Photometry}  The follow-up observations for \spock\ included \HST imaging  observations in infrared and optical bands using the WFC3-IR and 

P330E, observed in a separate calibration program. A separate PSF  model was defined for each filter, but owing to the long-term  stability of the \HST PSF we used the same model in all epochs. All  of the aperture and PSF fitting PSF-fitting  photometry was carried out using the {\tt PythonPhot} software package\citep{Jones:2015}.\footnote{\url{https://github.com/djones1040/PythonPhot}} package  (\url{https://github.com/djones1040/PythonPhot})\citep{Jones:2015}.  \subsection{Host Galaxy Spectroscopy}\label{sec:Spectroscopy} \subsection{Host-Galaxy Spectroscopy.}\label{sec:Spectroscopy}  Spectroscopy of the \spock\ host galaxy was collected using three  instruments on the Very Large Telescope (VLT). Observations with the  VLT's X-shooter cross-dispersed echelle spectrograph\citep{Vernet:2011} were taken on October 19th, 21st 19, 21  and 23rd, 23,  2014 (Program 093.A-0667(A), PI: J. Hjorth) with the slit centered on the  position of \spocktwo. The total integration time was 4.0 hours for  the NIR arm of X-shooter, 3.6 hours for the VIS arm, and 3.9 hours for 

field\citep{Grillo:2015,Balestra:2016}. These massively multi-object  observations could potentially have provided confirmation of the  redshift of the \spock host galaxy with separate spectral line  identifications in each of the three host galaxy host-galaxy  images. For the \macs0416 field the CLASH-VLT program collected 1 hour of useful  exposure time in good seeing conditions with the Low Resolution Blue  grism. Unfortunately, the wavelength range of this grism (3600-6700  \AA) does not include any strong emission lines for a source at  z=1.0054, $z=1.0054$,  and the signal-to-noise ratio  (S/N) was not sufficient to provide any clear line identifications for the three images of the \spock host  galaxy. 

\forbidden{O}{ii} doublet. Importantly, since MUSE is an integral  field spectrograph, these observations also provided a confirmation of  the redshift of the third image of the host galaxy, 11.3, with a  matching \forbidden{O}{ii} line at the same wavelength  (\citealt{Caminha:2017}, Richard et al. in prep). wavelength\cite{Caminha:2017}.  A final source of spectroscopic information relevant to \spock is the  Grism Lens Amplified Survey from Space (GLASS; PID: 

data, the three sources identified as images of the \spock host galaxy  are too faint in the GLASS data to provide any useful line  identifications. There are also no other sources in the GLASS  redshift catalog\footnote{\url{http://glass.astro.ucla.edu/}} catalog (\url{http://glass.astro.ucla.edu/})  that have a spectroscopic redshift consistent with z=1.0054. $z=1.0054$.         

\subsection{RN Light Curve Comparison}\label{sec:RNLightCurves} Light-Curve Comparison.}\label{sec:RNLightCurves}  %Nova outbursts can exhibit decline times from  %$\sim$1 day to many months, so the timescale of the \spock light 

There are ten known RNe in the Milky Way galaxy, and seven of  these exhibit outbursts that decline rapidly, fading by two magnitudes  in less than ten days \citep{Schaefer:2010}. days\citep{Schaefer:2010}.  % U Sco, V2487 Oph, V394 CrA, T CrB, RS Oph, V745 Sco, and V3890 Sgr.  Supplementary  Figure~\ref{fig:RecurrentNovaLightCurveComparison} compares the \spock light curves to a composite light curve (the gray shaded region), which encompasses the V band light curve templates  \citep{Schaefer:2010} templates\citep{Schaefer:2010}  for all seven of these galactic RN events. The Andromeda galaxy (M31) also hosts at least one RN with a rapidly declining light curve. The 2014 eruption of this well-studied nova, M31N 2008-12a, is shown as a solid black line in Supplementary  Figure~\ref{fig:RecurrentNovaLightCurveComparison}, fading by 2 mags mag  in less than 3 $<3$  days. This comparison demonstrates that the rapid decline of both of the \spock transient events is fully consistent with the eruptions of known RNe in the local universe. %Among the most luminous classical novae known, a similarly rapid  %decline time is not unheard of. For example, the bright nova 

%1$ days \citep{DellaValle:1991, Williams:1994, Schwarz:2001}.  \subsection{RN Luminosity and Recurrence Period}\label{sec:RNLuminosityRecurrence} Period.}\label{sec:RNLuminosityRecurrence}  To examine the recurrence period and peak brightness of the \spock  events relative to RNe, we rely on a pair of papers that evaluated an  extensive grid of nova models through multiple cycles of outburst and  quiescence \citep{Prialnik:1995,Yaron:2005}. quiescence\citep{Prialnik:1995,Yaron:2005}. Supplementary  Figure~\ref{fig:RecurrentNovaRecurrenceComparison} plots first the RN  outburst amplitude (the apparent magnitude between outbursts minus the  apparent magnitude at peak) and then the peak luminosity against the 

% models (circles) from \citet{Yaron:2005}.  For the \spock events we can only measure a lower limit on the  outburst amplitude, since the presumed progenitor star is unresolved,  so no measurement is available at quiescence. Supplementary  Figure~\ref{fig:RecurrentNovaRecurrenceComparison} shows that a recurrence period as fast as one year is expected only for a RN system in which the primary white dwarf is both very close to the Chandrasekhar mass limit (1.4 \Msun) and also has an extraordinarily rapid mass transfer rate ($\sim10^{-6}$ \Msun yr$^{-1}$). The models of \citet{Yaron:2005} \citeref{Yaron:2005}  suggest that such systems should have a very low peak amplitude (barely consistent with the lower limit for \spock) and a low peak luminosity ($\sim$100 times less luminous than the \spock events). The closest analog for the \spock events from the population of known  RN systems is the nova M31N\,2008-12a. \citet{Kato:2015} \citeref{Kato:2015}  provided a theoretical model that can account for the key observational  characteristics of this remarkable nova: the very rapid recurrence  timescale ($<$1 yr), fast optical light curve ($\t2\sim2$ days), and  short supersoft x-ray phase (6-18 days after optical  outburst)\citep{Henze:2015a}. To match these observations,  \citet{Kato:2015} \citeref{Kato:2015}  invoke a 1.38 \Msun white dwarf primary, drawing mass from a companion at a rate of $1.6\times10^{-7}$ \Msun  yr$^{-1}$. This is largely consistent with the theoretical  expectations derived by \citet{Yaron:2005}, \citeref{Yaron:2005},  and reinforces the conclusion that a combination of a high mass high-mass  white dwarf and efficient mass transfer are the key ingredients for rapid recurrence and short  light curves. The one feature that cannot be effectively explained  with this hypothesis is the peculiarly high luminosity of the \spock         

\subsection{Rates}\label{sec:RatesMethods} \subsection{Rates.}\label{sec:RatesMethods}  To derive a rough estimate of the rate of \spock-like transients, we  first define the set of strongly lensed galaxies in which a similarly 

the host galaxy must be amplified by strong lensing with a  magnification $\mu>20$ at $z\sim1$, growing to $\mu>100$ at $z\sim2$.  Using photometric redshifts and magnifications derived from the GLAFIC  lens models of  the six HFF clusters, we find $N_{\rm gal}=6$ galaxies that satisfy this criterion, withredshifts  $0.5(Extended Data  Fig.~\ref{fig:StronglyLensedGalaxies}). (Supplementary  Figure~\ref{fig:StronglyLensedGalaxies}).  We then define the {\it control time}, $t_{c}$, for the HFF survey,  which gives the span of time over which each cluster was observed with  a cadence sufficient for detection of such rapid transients. We  define this as any period in which at least two \HST observations were  collected within every ten 10  day span. This effectively includes the entirety of the primary HFF campaigns on each cluster, but excludes  all of the ancillary data collection periods from supplemental \HST  imaging programs. The average control time for an HFF cluster is  $t_{c}$=0.22 $t_{c} = 0.22$  years (80 days). Treating each \spock event as a separate detection, we can derive a rate estimate using $R = 2 /  (N_{\rm gal}\,t_c)$. This yields $R=1.5$ events galaxy$^{-1}$  year$^{-1}$.   Future examination of the rate of such transients should consider the  total stellar mass and the star formation star-formation  rates of the galaxies surveyed, or use a projection of the lensed background area onto the  source plane to derive a volumetric rate. Such analyses would require  a more detailed exploration of the impact of lensing uncertainties on  derived properties of the lensed galaxies and the lensed volume, and  this is beyond the scope of the  current work.        

\spockone location and the \spocktwo location is $<$60 days  (Table~\ref{tab:LensModelPredictions}). This falls far short of the  observed 223 day span between the two events, suggesting that  \spocktwo is not a time-delayed image of the \spockone event. As  shown in Figure~\ref{fig:SpockDelayPredictions}, \spockone and  \spocktwo are inconsistent with these predicted time delays if one  assumes that they are delayed images of a single event. However, if  these were independent events, then a time delay on the order of tens  of days between image 11.1 and 11.2 could have resulted in  time-delayed events that were missed by the \HST imaging of this  field.  The models also predict absolute magnification values between about  $\mu=10$ and $\mu=200$ for both events. This wide range is due 

The lensing configuration consistently adopted for this cluster  assumes that the arc comprises two mirror images of the host galaxy  (labeled 11.1 and 11.2 in  Fig.~\ref{fig:SpockDetectionImages})\cite{Zitrin:2013a, Figure~\ref{fig:SpockDetectionImages})\cite{Zitrin:2013a,  Jauzac:2014, Johnson:2014, Richard:2014, Diego:2015a, Grillo:2015, Hoag:2016,  Sebesta:2016, Caminha:2017}. This implies that a single critical  curve passes roughly mid-way midway  between the two \spock locations. The location of the critical curve varies significantly among the models  (Fig.~\ref{fig:SpockCriticalCurves}), (Figure~\ref{fig:SpockCriticalCurves}),  and is sensitive to many parameters that are poorly constrained. We find that it is possible to  make reasonable adjustments to the lens model parameters so that the  critical curve does not bisect the \spock host arc, but instead  intersects both of the \spock locations. locations (see Supplementary  Note~\ref{sec:LensModelVariations}).  Such lensing configurations can qualitatively reproduce the observed morphology of the \spock host galaxy, but they are disfavored by a purely quantitative assessment of  the positional strong-lensing constraints.  \subsection{Ruling Out Common Astrophysical Transients} Transients.}  There are several categories of astrophysical transients that can be  rejected, rejected  based solely onthe light curve  characteristics of the  \spockone and \spocktwo. \spocktwo light curves, shown in Figure~\ref{fig:LightCurves}.  Neither of the \spock events are is  {\it periodic}, as expected for stellar pulsations such as Cepheids, RR Lyrae, or Mira variables. Stellar flares can produce rapid optical transient phenomena, but the total energy released by even the most extreme stellar flare\cite{Karoff:2016} falls far short of the observed energy release from the \spock transients. We can also rule out active galactic nuclei (AGN), which are disfavored by the quiescence of the \spock sources between the two observed episodes and the absence of any of the broad emission lines that are often observed in AGN. Additionally, no x-ray emitting point source was detected in 7 epochs  from 2009 to 2014, including \Chandra X-ray Space Telescope imaging  that was coeval with the peak of IR infrared  emission from \spocktwo. Many types of stellar explosions can generate isolated transient  events, and a useful starting point for classification of such objects  is to examine their position in the phase space of peak luminosity  (\Lpk) versus decline time \cite{Kulkarni:2007}. time\cite{Kulkarni:2007}.  Figure~\ref{fig:PeakLuminosityDeclineTime} shows our two-dimensional  constraints on \Lpk and the decline timescale \t2 (the time over which  the transient declines by 2 magnitudes) mag)  for the \spock events, accounting for the range of lensing magnifications ($10<\mu<200$)  derived from the cluster lens models. The \spockone and \spocktwo  events are largely consistent with each other, and if both events are  representative of a single system (or a homogeneous class) then the  most likely peak luminosity and decline time (the region with the most  overlap) would be $L_{\rm pk}\sim10^{41}$ pk}\approx10^{41}$  erg s$^{-1}$ and $t_2\sim1$ $t_2\approx1$  day.  The relatively low peak luminosities and the very rapid rise and fall  of both \spock light curves are incompatible with all categories of  stellar explosions for which a significant sample of observed events  exists. This includes the common Type Ia SNe and core collapse core-collapse  SNe, as well as the less well-understood classes of Superluminous superluminous  SNe\cite{Gal-Yam:2012}, Type Iax SNe\citep{Foley:2013a}, fast optical  transients\cite{Drout:2014}, Ca-rich SNe\cite{Kasliwal:2012}, and  Luminous Red Novae\cite{Kulkarni:2007}. luminous red novae\cite{Kulkarni:2007}.  The SN-like transients that come closest to matching the observed  light curves of the two \spock events are the ``kilonova'' class and  the ``.Ia'' class. Kilonovae are a theorized category of  optical/near-infrared transients that may be generated by the merger  of a neutron star (NS) binary\cite{Li:1998,Kulkarni:2005}. binary\cite{Li:1998}.  The .Ia class is due to produced by  He shell explosions that are expected to arise from AM Canum Venaticorum (AM CVn) binary star systems undergoing He mass  transfer onto a white dwarf primary star\cite{Warner:1995,  Nelemans:2005,Bildsten:2007}. Bildsten:2007}.  The \spock light curves exhibited a slower rise time than is expected for a kilonova event\cite{Metzger:2010,Barnes:2013,Kasen:2015}, event\cite{Metzger:2010, Barnes:2013, Kasen:2015},  and a faster decline time than is anticipated for a .Ia event\cite{Shen:2010}.  Another problem for all of these catastrophic stellar explosion models 

events. The kilonova progenitor systems are completely disrupted at  explosion, as is the case for all normal SN explosions. For .Ia  events, even if an AM CVn system could produce repeated He shell  flashes of similar luminosity, the period of recurrence would be of  order $10^5$ $\sim10^5$  yr, making these effectively non-recurrent sources. %Thus, to reconcile any such cataclysmic explosion model with the two  %observed \spock events we would need to invoke a highly serendipitous  %occurrence of two unrelated peculiar explosions in the same host 

Although the two events were most likely not {\it temporally}  coincident, all of our lens models indicate that it is entirely  plausible for the two \spock events to be {\it spatially} coincident: a single location at the source plane can be mapped to both \spock locations to within the positional accuracy of the model reconstructions ($\sim$0.6\arcsec in the lens plane). This is supported by the fact that the host galaxy host-galaxy  colors and spectral indices at each \spock location are indistinguishable within the uncertainties. uncertainties  (see Supplementary Figure~\ref{fig:HostProperties} and Supplementary Table~\ref{tab:HostProperties}).  Thus, to accommodate all of the observations of the \spock events with a single astrophysical source, we turn to two categories of stellar explosion that are sporadically recurrent: luminous blue variables (LBVs) and recurrent novae (RNe). \subsection{Luminous Blue Variable} Variable.}  The transient sources categorized as LBVs are the result of eruptions  or explosive episodes from massive stars ($>10$\Msun). ($>10$ \Msun).  %\footnote{We use  % the term LBV to encompass any massive stars producing sporadic  % bright optical transient events. Such 

most giant LBV eruptions have been observed to last much longer than  the \spock events\cite{Smith:2011b}, some LBVs have exhibited repeated  rapid outbursts that are broadly consistent with the very fast \spock  light curves (see SI Fig.~\ref{fig:LBVLightCurveComparison}). Supplementary  Figure~\ref{fig:LBVLightCurveComparison}).  Because of this common stochastic variability, the LBV hypothesis does not have any trouble accounting for the \spock events as two separate episodes. Two well-studied LBVs that provide a plausible match to the observed  \spock events are ``SN 2009ip''\cite{Maza:2009} and  NGC3432-LBV1\cite{Pastorello:2010}. Both exhibited multiple brief  transient episodes over a span of months to years\cite{Miller:2009,  Li:2009, Berger:2009,Drake:2010,  Pastorello:2010}. Unfortunately, for these outbursts we have only upper limits on the decline  timescale, $t_2$, due owing  to the relatively sparse photometric sampling. Recent studies have shown that SN  2009ip-like LBV transients have remarkably similar light curves, leading up to a final terminal SN  explosion\cite{Kilpatrick:2017, Pastorello:2017}.  Figure~\ref{fig:PeakLuminosityDeclineTime}b shows that both \spock 

$\sim$1 to 2 mag over a timespan of several years before and after  their historic giant eruptions. Such variation has not been detected  at the \spock locations. Nevertheless, given the broad  range of light curve light-curve  behaviors seen in LBV events, we cannot reject this class as a possible explanation for the \spock system.  The total radiated energy of the \spock events is in the range 

slowly in the stellar interior and is in some way ``bottled up'' by  the stellar envelope, before being released in a rapid mass ejection  (see Methods). With this approach we a quiescent luminosity of  $L_{\rm qui}\sim10^{39.5}$~erg~s$^{-1}$ ($M_V\sim-10$). qui}\approx10^{39.5}$~erg~s$^{-1}$ ($M_V\approx-10$ mag).  This value is fully consistent with the expected range for LBV progenitor stars  (e.g., \etacar has $M_V\sim-12$ $M_V\approx-12$ mag  and the faintest known LBV progenitors such as SN 2010dn have $M_V\sim-6$). $M_V\approx-6$ mag).  \subsection{Recurrent Nova}\label{sec:RNe} Nova.}\label{sec:RNe}  Novae occur in binary systems in which a white dwarf star accretes  matter from a less massive companion, leading to a burst of nuclear 

The light curves of many RN systems in the Milky Way are similar in  shape to the \spock episodes, exhibiting a sharp rise ($<10$ days in  the rest-frame) and a similarly rapid decline (see Supplemental  Information). Supplementary  Information and Supplementary  Figure~\ref{fig:RecurrentNovaLightCurveComparison}).  This is reflected in Figure~\ref{fig:PeakLuminosityDeclineTime}, where novae are represented by a grey band that traces the empirical constraints on the maximum magnitude - vs.\  rate of decline (MMRD) relation for classical novae\cite{DellaValle:1995, Downes:2000, Shafter:2011, Kasliwal:2011a}.  The RN model can provide a natural explanation for having two separate  explosions that are coincident in space but not in time. However, the  recurrence timescale for \spock in the rest-frame rest frame  is $120\pm30$ days, which would be a singularly rapid recurrence period for a RN system.  The RNe in our own galaxy Galaxy  have recurrence timescales from of  10--98 years\cite{Schaefer:2010}. The fastest measured recurrence timescale  belongs to M31N 2008-12a, which has exhibited a new outburst every  year from 2008-2016\cite{Tang:2014, 2008 through 2016\cite{Tang:2014,  Darnley:2014, Darnley:2015, Henze:2015,Henze:2015a,  Darnley:2016}. Although this M31 record-holder demonstrates that very rapid recurrence is possible, classifying \spock as a RN would still require a very extreme mass  transfer mass-transfer  rate to accommodate the $<1$ year recurrence. Another major concern with the RN hypothesis is that the two \spock events are substantially brighter than all known novae -- perhaps novae---perhaps  by as much as 2 orders of magnitude. This is exacerbated by the observational and theoretical evidence indicating that rapid-recurrence novae have less energetic eruptions\cite{Yaron:2005}. eruptions\cite{Yaron:2005}  (see Supplementary Information and Supplementary Figure  \ref{fig:RecurrentNovaRecurrenceComparison}).  %One might  %attempt to reconcile the \spock luminosity more comfortably with the  %nova class by assuming a significant lensing magnification for one of 

\subsection{Microlensing}\label{sec:MicroLensing} \subsection{Microlensing.}\label{sec:MicroLensing}  In the presence of strong gravitational lensing it is possible to  generate a transient event from lensing effects alone. In this case 

sharp decline (rise) when the star has moved to the other side of the  caustic\cite{Schneider:1986, MiraldaEscude:1991}. With a more complex  lens comprising many compact objects, the light curve would exhibit a  superposition of many such sharp peaks\cite{Lewis:1993}. peaks\cite{Lewis:1993, Diego:2017}.  The peculiar transient MACS J1149 LS1, observed behind the Hubble  Frontier Fields cluster MACS J1149.6+2223, has been proposed as the  first observed example of such a stellar caustic crossing  event\cite{Kelly:2017}. Such events may be expected to appear more frequently in strongly lensed galaxies that have small angular separation from the center of a massive cluster. In such a situation, our line of sight to the lensed background galaxy passes through a dense web of overlapping micro-lenses microlenses  caused by the intracluster stars distributed around the center of the cluster. This has the effect of ``blurring'' the magnification profile across the cluster critical curve, making it more likely that a single (and rare) massive star in the background galaxy gets magnified by the required factor of $\sim10^5$ to become visible as a transient caustic crossing caustic-crossing  event. On this basis the \spock host galaxy host-galaxy  images are suitably positioned for caustic crossing caustic-crossing  transients, as they are seen through a relatively high density of intracluster stars---comparable stars (see Methods)---comparable  to that observed for the MACS J1149 LS1 transient.  The characteristic timescale of a canonical caustic crossing caustic-crossing  event would be on the order of hours or days, days (see Supplementary  Information),  which is comparable to the timescales observed for the \spock events. Gravitational lensing is achromatic as long as the size of the source is consistent across the spectral energy distribution (SED). This means that the color of a caustic crossing caustic-crossing  transient will be roughly constant. Using simplistic linear interpolations of the observed light curves (see Methods) Methods),  we find that the inferred color curves for both \spock events are marginally consistent with this expectation of an unchanging color. color (Supplementary  Figure~\ref{fig:ColorCurves}).  In the baseline lensing configuration adopted above---where a single  critical curve subtends the \spock host galaxy arc---these events  cannot plausibly be explained as stellar caustic crossings, because  neither transient is close enough to the single critical curve to  reach the required magnifications of $\mu\sim10^6$. $\mu\approx10^6$.  Some of our lens models can, however, be modified so that instead of just two host  images, the lensed galaxy arc is made up of many more images of the  host, with multiple critical curves subtending the arc where the  \spock events appeared (Fig.~\ref{fig:SpockCriticalCurves}). (Figure~\ref{fig:SpockCriticalCurves}).  If this alternative lensing  situation is correct, then similar microlensing transients would be  expected to appear at different locations along the host galaxy host-galaxy  arc, instigated by new caustic crossing caustic-crossing  episodes from different stars in the host galaxy.  \subsection{The Rate of Similar Transients}\label{sec:Rates} Transients.}\label{sec:Rates}  Although we lack a definitive classification for these events, we can  derive a simplistic estimate of the rate of \spock-like transients by  counting the number of strongly lensed galaxies in the HFF clusters  that have sufficiently high magnification that a source with  $M_{V}=-14$ mag would be detected in \HST imaging. There are only six  galaxies that satisfy that criteria, all withredshift  $0.5  for an average of 80 days. Treating \spockone and \spocktwo as  separate events leads to a very rough rate estimate of 1.5 \spock-like 

Derivation of a volumetric rate for such events would require a  detailed analysis of the lensed volume as a function of redshift, and  is beyond the scope of this work. A Nevertheless, a  comparison to rates of similar transients in the local universe can inform our assessment of the likelihood that the \spock events are unrelated. A study of very fast optical transients with the Pan-STARRS1 survey derived a rate limit of $\lesssim0.05$ Mpc$^{-3}$ yr$^{-1}$ for transients reaching $M\approx -14$ mag on a timescale of $\sim$1 day\citet{Berger:2013b}. This limit, though several orders of magnitude higher than the constraints on novae or SNe, is sufficient to make it exceedingly unlikely that two unrelated fast optical transients would appear in the same galaxy in a single year. Furthermore, we have observed no other transient events with similar luminosities and light curve shapes in high-cadence surveys of five other Frontier Fields clusters. Indeed, all other transients detected in the primary HFF survey have been fully consistent with normal SNe. Thus, we have no evidence to suggest that transients of this kind are common enough to be observed twice in a single galaxy in a single year.              

\input{LensModelVariations}  \input{HostGalaxy}  \input{LBVsupplement}  \input{RN}  \input{MicroLensingSupplement}  \begin{figure*}[tbp]  \begin{center}  \includegraphics[width=\textwidth]{./figures/composite_lens_model_contours/composite_lens_model_contours} 

\end{center}  \end{figure*}  \begin{figure*}[tbp]  \begin{center}  \includegraphics[width=\textwidth]{./figures/LineOfSightLenses/macs0416_lineofsight_lensing} \includegraphics[width=\textwidth]{./figures/LineOfSightLenses/macs0416_lineofsight_lensing.png}  \caption{\protect\input{./figures/LineOfSightLenses/caption.tex}}  \end{center}  \end{figure*} 

\begin{figure*}[tbp]  \begin{center}  \includegraphics[width=\textwidth]{./figures/spock_hostgalaxy_properties/spock_hostgalaxy_properties} \includegraphics[width=\textwidth]{./figures/spock_hostgalaxy_properties/spock_hostgalaxy_properties.png}  \caption{\protect\input{./figures/spock_hostgalaxy_properties/caption.tex}}  \end{center}  \end{figure*} 

\end{center}  \end{figure*}  \input{HostGalaxyProperties}  \input{LongTables}         

%%\author{Aauthor$^{1,2}$, Bauthor$^2$ \& LastAuthor$^2$}  \author{  S.~A.~Rodney\altaffilmark{\affilref{JHU},\affilref{USC}}, S.~A.~Rodney\altaffilmark{\affilref{USC}},  I.~Balestra\altaffilmark{\affilref{Munich}},  M.~Brada\v{c}\altaffilmark{\affilref{UCDavis}},  G.~Brammer\altaffilmark{\affilref{STScI}}, 

B.~Mobasher\altaffilmark{\affilref{UCRiverside}},  A.~Molino\altaffilmark{\affilref{SaoPaulo},\affilref{Andalucia}},  M.~Oguri\altaffilmark{\affilref{TokyoRCEU},\affilref{TokyoPhys},\affilref{TokyoIPMU}},  A.~G.~Riess\altaffilmark{\affilref{JHU},\affilref{STScI}},  J.~Richard\altaffilmark{\affilref{Lyon}},  A.~G.~Riess\altaffilmark{\affilref{JHU},\affilref{STScI}},  P.~Rosati\altaffilmark{\affilref{Ferrara}},  K.~B.~Schmidt\altaffilmark{\affilref{UCSB},\affilref{AIP}},  J.~Selsing\altaffilmark{\affilref{DARK}}, 

T.~Treu\altaffilmark{\affilref{UCLA},\affilref{Packard}},  B.~J.~Weiner\altaffilmark{\affilref{Arizona}},  L.~L.~R.~Williams\altaffilmark{\affilref{Minnesota}} \&  A.~Zitrin\altaffilmark{\affilref{CalTech},\affilref{BenGurion}} A.~Zitrin\altaffilmark{\affilref{BenGurion}}  }  \def\makeaffil{  \begin{affiliations}  \item \JHU  \item \USC  \item \Munich  \item \UCDavis 

\item \TokyoPhys  \item \TokyoIPMU  \item \Lyon  \item \JHU  \item \AIP  \item \Michigan  \item \ASIAA         

\subsection{X-ray Non-detections}\label{sec:Xray} Nondetections.}\label{sec:Xray}  The \MACS0416 field was observed by the SWIFT \Swift  X-Ray Telescope(XRT)  and UltraViolet/Optical Telescope(UVOT)  in April 2013. No source was detected near the locations of the \spock events (N. Gehrels, private  communication). The field was also observed by \Chandra with the  ACIS-I instrument for three separate programs. On June 7, 2009 it was         

%% This BibTeX bibliography file was created using BibDesk.  %% http://bibdesk.sourceforge.net/  %% Created for rodney at 2017-07-06 10:26:06 2017-07-07 14:16:04  -0400 %% Saved with string encoding Unicode (UTF-8)  

@article{Pastorello:2017,  Author = {{Pastorello}, A. and {Kochanek}, C.~S. and {Fraser}, M. and {Dong}, S. and {Elias-Rosa}, N. and {Benetti}, S. and {Cappellaro}, E. and {Tomasella}, L. and {Drake}, A.~J. and {Hermanen}, J. and {Reynolds}, T. and {Shappee}, B.~J. and {Smartt}, S.~J. and {Chambers}, K.~C. and {Huber}, M.~E. and {Smith}, K. and {Stanek}, K.~Z. and {Filippenko}, A.~V. and {Christensen}, E.~J. and {Denneau}, L. and {Djorgovski}, S.~G. and {Flewelling}, H. and {Gall}, C. and {Gal-Yam}, A. and {Geier}, S. and {Heinze}, A. and {Holoien}, T.~W.-S. and {Isern}, J. and {Kangas}, T. and {Kankare}, E. and {Koff}, R.~A. and {Llapasset}, J.-M. and {Lowe}, T.~B. and {Lundqvist}, P. and {Magnier}, E.~A. and {Mattila}, S. and {Morales-Garoffolo}, A. and {Mutel}, R. and {Nicolas}, J. and {Ochner}, P. and {Ofek}, E.~O. and {Prosperi}, E. and {Rest}, A. and {Sano}, Y. and {Stalder}, B. and {Stritzinger}, M.~D. and {Taddia}, F. and {Terreran}, G. and {Tonry}, J.~L. and {Wainscoat}, R.~J. and {Waters}, C. and {Weiland}, H. and {Willman}, M. and {Young}, D.~R. and {Zheng}, W.},  Journal = {ArXiv e-prints}, {arXiv: 1707.00611},  Month = jul,  Title = {{Supernovae 2016bdu and 2005gl, and their link with SN 2009ip-like transients: another piece of the puzzle}},  Year = 2017}  @article{Kilpatrick:2017,  Author = {{Kilpatrick}, C.~D. and {Foley}, R.~J. and {Drout}, M.~R. and {Pan}, Y.-C. and {Panther}, F.~H. and {Coulter}, D.~A. and {Filippenko}, A.~V. and {Marion}, G.~H. and {Piro}, A.~L. and {Rest}, A. and {Seitenzahl}, I. and {Strampelli}, G. and {Wang}, X.~E.},  Journal = {ArXiv e-prints}, {arXiv: 1706.09962},  Month = jun,  Title = {{Connecting the progenitors, pre-explosion variability, and giant outbursts of luminous blue variables with Gaia16cfr}},  Year = 2017}  @article{Kelly:2017,  Author = {{Kelly}, P.~L. and {Diego}, J.~M. and {Rodney}, S. and {Kaiser}, N. and {Broadhurst}, T. and {Zitrin}, A. and {Treu}, T. and {Perez-Gonzalez}, P.~G. and {Morishita}, T. and {Jauzac}, M. and {Selsing}, J. and {Oguri}, M. and {Pueyo}, L. and {Ross}, T.~W. and {Filippenko}, A.~V. and {Smith}, N. and {Hjorth}, J. and {Cenko}, S.~B. and {Wang}, X. and {Howell}, D.~A. and {Richard}, J. and {Frye}, B.~L. and {Jha}, S.~W. and {Foley}, R.~J. and {Norman}, C. and {Bradac}, M. and {Zheng}, W. and {Brammer}, G. and {Molino Benito}, A. and {Cava}, A. and {Christensen}, L. and {de Mink}, S.~E. and {Graur}, O. and {Grillo}, C. and {Kawamata}, R. and {Kneib}, J.-P. and {Matheson}, T. and {McCully}, C. and {Nonino}, M. and {Perez-Fournon}, I. and {Riess}, A.~G. and {Rosati}, P. and {Borello Schmidt}, K. and {Sharon}, K. and {Weiner}, B.~J.},  Journal = {ArXiv e-prints}, {arXiv:1706.10279},  Month = jun,  Title = {{An individual star at redshift 1.5 extremely magnified by a galaxy-cluster lens}},  Year = 2017}  @article{Diego:2017,  Author = {{Diego}, J.~M. and {Kaiser}, N. and {Broadhurst}, T. and {Kelly}, P.~L. and {Rodney}, S. and {Morishita}, T. and {Oguri}, M. and {Ross}, T.~W. and {Zitrin}, A. and {Jauzac}, M. and {Richard}, J. and {Williams}, L. and {Vega}, J. and {Frye}, B. and {Filipenko}, A.~V.},  Journal = {ArXiv e-prints}, {arXiv:1706.10281},  Month = jun,  Title = {{Dark matter under the microscope: Constraining compact dark matter with caustic crossing events}},  Year = 2017} 

@article{Eliasdottir:2007,  Author = {{El{\'{\i}}asd{\'o}ttir}, {\'A}. and {Limousin}, M. and {Richard}, J. and {Hjorth}, J. and {Kneib}, J.-P. and {Natarajan}, P. and {Pedersen}, K. and {Jullo}, E. and {Paraficz}, D.},  Journal = {ArXiv e-prints}, {arXiv:0710.5636},  Month = oct,  Title = {{Where is the matter in the Merging Cluster Abell 2218?}},  Year = 2007} 

@article{Hogg:2002,  Author = {Hogg, David W. and Baldry, Ivan K. and Blanton, Michael R. and Eisenstein, Daniel J.},  Journal = {ArXiv Astrophysics e-prints}, {arXiv:astro-ph/0210394},  Title = {The K correction},  Year = {2002}}         

model that accommodates multi-plane lensing. The larger panel at left  marks nine galaxies with spectroscopic redshifts greater than the  cluster redshift (magenta circles) and four galaxies in the cluster  foreground (light blue (light-blue  circles). The inset panel at right zooms in on the \spock host galaxy (enclosed by the orange ellipse in each panel).  Cluster member galaxies with spectroscopic redshifts that were  included in the GLEE models are marked with black diamonds. The  magenta circle marks a spiral galaxy at $z=0.9397$, which is also  strongly lensed by the \macs0416 cluster into three highly distorted  images (System 12 in \citet{Caminha:2017}). \citeref{Caminha:2017}).  This image of the System 12 galaxy is further strongly lensed into arcs around a cluster member  galaxy, which is marked by the black diamond near the center of the  magenta circle. The galaxy in the foreground of the cluster at        Binary files /dev/null and b/figures/LineOfSightLenses/macs0416_lineofsight_lensing.pdf differ     Binary files a/figures/LineOfSightLenses/macs0416_lineofsight_lensing.png and b/figures/LineOfSightLenses/macs0416_lineofsight_lensing.png differ        

Probability distributions for the five primary magnification and time  delay time-delay  observables, drawn from a combination of results from five of our seven baseline lens models: CATS, GLAFIC, GLEE, GRALE, and ZLTM. Contours shown in the ten panels at the lower left mark the 1-$\sigma$ 1$\sigma$  and 2-$\sigma$ 2$\sigma$  confidence regions in each two-dimensional slice of the parameter space. Histograms at the top of each column show the marginalized one-dimensional 1-D  probability distributions, with dashed vertical lines marking the mean and 1$\sigma$ confidence region. These mean values and uncertainties are also reported in the table of values at the upper right. The final line in the table reports the observed time gap in days between \spockone in January, 2014 and \spocktwo in August, 2014. \label{fig:LensModelContours}         

\label{fig:SpockDetectionImages}  The detection of \spockone and \spocktwo in HST \HST  imaging from the Hubble Frontier Fields. The central panel shows the full field of the  MACSJ0416 cluster, in a combined image using optical and infrared  bands from HST. \HST.  Two boxes within the main panel demarcate the regions where the \spock host galaxy host-galaxy  images appear. These regions are shown as two inset panels on the left, highlighting the three images of the  host galaxy (labeled 11.1, 11.2, and 11.3), which are caused by the  gravitational lensing of the cluster. Two columns on the right side        Binary files /dev/null and b/figures/detection_image/detection_image.pdf differ     Binary files a/figures/detection_image/detection_image.png and b/figures/detection_image/detection_image.png differ        

Comparison of observed \spock light curves against rapid outbursts  from two LBVs. Colored markers show the \spock light curve light-curve  data, as in Figure~\ref{fig:LightCurves}, with downward arrows marking 3-$\sigma$ 3$\sigma$  upper limits in epochs with no detection of the \spock source. The LBV  comparison light curves have been shifted in time and magnitude to  match up with the peak of the observed light curves.         

Piece-wise Piecewise  linear fits to the \spock light curves, used to measure the rise time and decay time of the two events. The \spockone light curve is shown in the top panel, and \spocktwo in the bottom. Filled points with error bars plot the observed brightness of each event in AB magnitudes as a function of rest-frame time (for $z=1.0054$). Piece-wise Piecewise  linear fits are shown for the four bands that have enough points for fitting: in the top panel fits are plotted for the F814W band (solid green lines) and the F435W band (dashed cyan lines), while in the bottom panel fits are shown for F160W (solid maroon) and F125W (dashed scarlet). Open diamonds in each panel show three examples of assumptions for the time of peak brightness, $t_{\rm pk}$ (i.e. (i.e.,  the position where the rising piece of the linear fit ends). Open circles mark the corresponding point, $t_{\rm pk} + t_3$, at which the fading transient would have declined in brightness by 3 magnitudes. mag.  See text for details on the fitting procedure. \label{fig:LinearLightCurveFits}         

\label{fig:MUSEOIISequence}  Measurements of the \forbidden{O}{ii} $\lambda\lambda$3726,3729 $\lambda\lambda$3726, 3729  doublet, observed with MUSE after both \spock events had faded. The upper left upper-left  panel shows the 12 apertures with radius 0.6\arcsec that were used for the extractions reported in Table~\ref{tab:MuseLineFits}. Odd-numbered apertures are plotted with solid lines, while even-numbered apertures are shown as unlabeled dashed circles. The apertures centered on the \spock-NW and SE locations are highlighted in orange and magenta, respectively. The 1-D spectra extracted from these \spock locations are shown in the upper right upper-right  and lower right lower-right  panels, centered around the observed wavelength of the \forbidden{O}{ii} doublet, and normalized to reach a value of unity at the peak of the $\lambda$3729 line. Dashed vertical lines mark the vacuum wavelengths of the doublet, redshifted to $z=1.0054$. The width of the shaded region indicates the $1\sigma$ uncertainty in the measured flux. Below each spectrum, a residual plot shows the flux that remains after subtracting off a mean spectrum constructed from the normalized spectra of the odd-numbered apertures. The lower left lower-left  panel shows the same residual spectra constructed for the odd-numbered apertures, demonstrating that the \forbidden{O}{ii} line profile does not exhibit any significant gradients across the length of the host galaxy host-galaxy  arc.        

class from neutron star mergers. Grey bands in both panels show the  MMRD relation for classical novae. In the right panel, circles mark  the observed peak luminosities and decline times for classical novae,  while black `+' symbols mark recurrent novae from our own galaxy. Galaxy.  The large cross labeled at the bottom shows the rapid recurrence nova M31N  2008-12a. Each orange diamond marks a separate short transient event  from the two rapid LBV outburst systems, SN  2009ip\cite{Pastorello:2013} and NGC3432-LBV1 (a.k.a. (also known as  SN 2000ch)\cite{Pastorello:2010}. These LBV events provide only upper  limits on the decline time due owing  to limited photometric sampling.        

\label{fig:RecurrentNovaLightCurveComparison}  Comparison of the \spock light curves against template light curves  for RN outbursts. Colored markers show the \spock light curve light-curve  data, as in Figure~\ref{fig:LightCurves}, plotting the apparent magnitude as  a function of time in the rest frame (bottom axis) and observer frame  (top axis). The gray shaded regions encompass the outburst light curve light-curve  shapes of 5 of the 11 known galactic Galactic  RNe (U Sco, V2487 Oph, V394 CrA, T CrB, and V745 Sco), selected because they exhibit a rapid decline in  their light curves \citep{Schaefer:2010}. curves\citep{Schaefer:2010}.  The solid black line traces the 2014 outburst light curve light-curve  shape for the rapid-recurrence nova M31N 2008a-12 \citep{Darnley:2014}. 2008a-12\citep{Darnley:2014}.  All template light curves have been normalized to match the observed peaks of the \spock events.           

Comparison of the inferred \spock recurrence timescale against  observed RNe and models. In the left panel the outburst amplitude in  magnitudes is plotted against the recurrence timescale, while in the  right panel the y ordinate  axis shows the peak luminosity (or absolute magnitude). In both panels panels,  the joint constraints on \spock from both transient episodes are plotted as large open diamonds, observed  constraints from the 10 galactic Galactic  RNe appear as black `x' ``x''  points, and the rapid-recurrence nova M31N 2008a-12 is shown with a thick black  `+' ``+''  marker. Colored circles show the results from a suite of numerical hydrodynamic simulations from \citet{Yaron:2005}. simulations\citet{Yaron:2005}.  The size of each circle indicates the mass of the primary white dwarf (WD) star  over the range 0.4-1.4 M$_\odot$, \Msun,  as indicated in the legend of the left panel. The color of each circle denotes the rate of mass  transfer from the secondary onto the WD, as given in the right panel's  legend.         

Observed colors for the \spock events. Filled points plotted in the  top panels show observed AB magnitudes for the \spockone and \spocktwo  events from -3 3  rest-frame days before the date of observed peak brightness. Solid lines and shaded regions show linear fits to the  data in the F814W and F160W bands. Open points in the bottom panels  show observed colors in the rest-frame bands. For each color the         

\label{fig:SpockCriticalCurves}  Locations of the lensing critical curves relative to the positions of  the two \spock sources. Panel (a) shows the HST \HST  Frontier Fields composite near-infrared image of the full \macs0416 field. The  magnification map from the \citet{Caminha:2017} model for a source at $z=1$  is overlaid with orange and black contours. contours\citet{Caminha:2017}.  The white box marks the region that is shown in panel (b) with a closer view of the \spock host galaxy. Panel (c) shows a trace of the lensing critical curve from the GRALE model, and panels (d)-(i) show magnification maps for the six other primary models, all for a source at the \spock redshift. The magnification maps are plotted with log scaling, such that white is $\mu=1$ and black is $\mu=10^3$. Panels j-m show the same magnification maps, extracted from the lens model variations described  in \ref{sec:LensModelVariations}. (see  Methods).        Binary files /dev/null and b/figures/spock_critical_curves/spock_critical_curves.pdf differ     Binary files a/figures/spock_critical_curves/spock_critical_curves.png and b/figures/spock_critical_curves/spock_critical_curves.png differ        

Stellar population properties of the \spock host galaxy, derived from  ``pixel-by-pixel'' SED fitting. The top row shows maps for the adjacent  host images 11.1 and 11.2, and the bottom panels show image 11.3.  From left to right the panels present the rest-frame (U-V) ($U-V$)  color, the stellar surface mass density, density  $\Sigma$, and the mean age of the stellar population in Gyr. Markers in the top row denote the  positions of the two \spock transient events. Markers in the bottom  panels are at the center of host image 11.3.         

Predictions for the reappearance episodes of both \spockone  and \spocktwo due to gravitational lensing time delays, as listed in  Table~\ref{tab:LensModelPredictions}. The top panel shows photometry  collected at the NW position (host galaxy (host-galaxy  image 11.2) where the first event (\spockone) appeared in January, 2014. Optical  measurements from ACS are in blue and green, and infrared observations  from WFC3-IR are in red and orange, as in  Figure~\ref{fig:LightCurves}. orange.  Each blue bar in the lower panel shows one lens model prediction for the dates when that same physical event  (\spockone) would have also appeared in the SE location (galaxy image  11.1), due to gravitational lensing time delay. The lower panel plots         

%% make citations be superscripts, taken from citesupernumber.sty  \def\@cite#1#2{$^{\mbox{\scriptsize #1\if@tempswa , #2\fi}}$}  \newcommand{\citeref}[1]{[Ref.~{\citenum{#1}}]}  \providecommand\citealt{\cite}  \providecommand\citep{\cite}  \providecommand\citet{\cite}  %% Some style parameters  \setlength{\parindent}{0.39in}  \setlength{\parskip}{1pt} 

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\usepackage{cite}  \usepackage{graphicx}  \usepackage[space]{grffile}  \usepackage{latexsym} 

{\endminipage\par\medskip}  \providecommand\citet{\cite}  \providecommand\citep{\cite}  \providecommand\citealt{\cite}  \def\dataset[#1]#2{#2}% 

\def\deltamfifteen{\ensuremath{\Delta\mbox{m}_{15}}\xspace}  % Other explosions:  \def\etacar{\ensuremath{\eta\,\mbox{Car}}\xspace}  \def\etaCar{\ensuremath{\eta\,\mbox{Car}}\xspace} \def\etacar{\ensuremath{\eta~\mbox{Car}}\xspace}  \def\etaCar{\ensuremath{\eta~\mbox{Car}}\xspace}  \def\m31n{M31N\,2008-12a\xspace}  \def\M31N{M31N\,2008-12a\xspace} 

\def\Chandra{{\it Chandra}\xspace}  \def\Herschel{{\it Herschel}\xspace}  \def\XMM{{\it XMM}\xspace}  \def\SWIFT{{\it SWIFT}\xspace} \def\Swift{{\it Swift}\xspace}  % Specific to this paper:       Binary files a/spock_arxiv.pdf and b/spock_arxiv.pdf differ        

%% Template for a preprint Letter or Article for submission  %% to the journal Nature.  %% Written by Peter Czoschke, 26 February 2004  %%  %Sections can only be used in Articles. Contributions should be  %organized in the sequence: title, text, methods, references,  %Supplementary Information line (if any), acknowledgements,  %interest declaration, corresponding author line, tables, figure  %legends.  \documentclass{nature_arxiv}  \input{preamble_nature}  %% make sure you have the nature.cls and naturemag.bst files where  %% LaTeX can find them  \bibliographystyle{naturemag}  \input{TitleAndAuthors} 

\makeaffil  \begin{multicols}{2} %\begin{multicols}{2}  \input{IntroductionShort}  \input{Figures}  \input{Results}  \input{Discussion}  \end{multicols}  \input{Figures} %\end{multicols}  \clearpage  \begin{methods}  %Put methods in here. If you are going to subsection it, use  %\verb|\subsection| commands. Methods section should be less than 

\input{LensingModels}  \input{Xray}  \input{LightCurves}  \input{HostGalaxy}  \input{LBV}  \input{RN}  \input{Microlensing} 

  \end{methods}  % Supplemental figures  \input{Supplemental}  %% Put the bibliography here, most people will use BiBTeX in  %% which case the environment below should be replaced with 

\bibliography{./bibliography/biblio}{}  %% Here is the endmatter stuff: Supplementary Info, etc.  %% Use \item's to separate, default label is "Acknowledgements"  \begin{addendum}  %\item[Supplementary \item[Supplementary  Information] Supplementary figures, tables and notes are included at the end of this document.  \item \input{Acknowledgments}  % \item[Competing Interests] The authors declare that they have no  % competing financial interests. 

should be addressed to S.A.R.~(email: [email protected]).  \end{addendum}  %%  %% TABLES  %%  %% If there are any tables, put them here.  %%  \input{LongTables} % Supplemental figures, notes and tables  \clearpage  \begin{supplementary}  \input{Supplementary}  \end{supplementary}  \end{document}         

\begin{deluxetable}{cccc}  \tablewidth{\linewidth} \tablewidth{0.7\textwidth}  \tablecolumns{12}  \tablecaption{Photometry of the \spockone event.\label{tab:spockonephot}}  \tablehead{ \colhead{Date} & \colhead{Filter} & \colhead{Flux} \colhead{Flux Density}  & \colhead{AB Mag}\\ \colhead{(MJD)} & \colhead{} & \colhead{(10$^{30}$ erg\,s$^{-1}$\,cm$^{-2}$\,Hz$^{-1}$)} & \colhead{} }  \startdata  56144.86 & F105W & 0.063$\pm$0.119 & $<$29.39\\ 

56916.98 & F814W & 0.007$\pm$0.093 & $<$31.86\\  \enddata  \end{deluxetable}         

\begin{deluxetable}{cccc}  \tablewidth{\linewidth} \tablewidth{0.7\textwidth}  \tablecolumns{12}  \tablecaption{Photometry of the \spocktwo event.\label{tab:spocktwophot}}  \tablehead{ \colhead{Date} & \colhead{Filter} & \colhead{Flux} \colhead{Flux Density}  & \colhead{AB Mag}\\ \colhead{(MJD)} & \colhead{} & \colhead{(10$^{30}$ erg\,s$^{-1}$\,cm$^{-2}$\,Hz$^{-1}$)} & \colhead{} }  \startdata  56144.86 & F105W & -0.127$\pm$0.206 & $<$26.92\\ 

56916.98 & F814W & -0.028$\pm$0.089 & $<$27.83\\  \enddata  \end{deluxetable}