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Stella Offner edited section_Stastical_Comparisons_label_comparisons__.tex
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\section{Stastical \section{Statistical Comparisons}\label{comparisons}
We present a series {\bf for reader sanity we should change the name of
comparisons W2T2t0 to just T2t0; likewise drop the Ws for the other models at t0. Unforunately this means retitling the labels in the plots. We can hold off until for some iterations in case other changes as suggested by the E's need to be made. }
We calculate the statistics and distance between
each pair of spectral cubes. However, since few prior statistical studies have investigated the impact of feedback, we first compare the statistics for two
synthetic observations using fiducial
outputs outputs: W1T2t0.2 and
W2T2t0. W2T2t0 T2t0.
[ Move above: Previous numerical studies have compared differences in Mach number, magnetic field strength, and driving scale \citep[e.g.,][]{}. \citet{burkhart??}, an observational analysis of HI, noted the possible signature of supernovae on the bispectrum. While \citet{swift08} identify a break in the power spectrum of the $^{13}$CO intensity moment map, which they attribute to the influence of protostellar outflows (the break is absent in the $^{12}$CO data). [check Adam Frank and co.; hansen et al. 2012]] %our main goal is to explore how feedback shapes cloud turbulence.
T2t0 is a simulated turbulent molecular cloud
(T2) (turbulent realization T2) prior to wind launching. W1T2t0.2
is begins with the same
turbulent molecular cloud turbulence as
W2T2t0 T2t0 (T2), but we
simulate it follow its evolution for another 0.2 Myr (t0.2) with wind launching model W1.
W2 %W2 does correspond to another wind model, but at the initial time, the wind model has not been introduced to the simulation.
Thus, the two runs begin with the same turbulent seed, but
the turbulence in one run
contains feedback is shaped by feedback, while
in the other
does not (make this sentence better). the turbulence is ``pristine". For each statistic in
table Table ???, we compare the results produced with runs W1T2t0.2 and
W2T2t0, T2t0 and identify qualitative differences.
RB May be best to organize by type of statistic. How about: