The Pressure Structure of Molecular Clouds
and 2 collaborators
Abstract. Broadly, we seek to understand the role of pressure in star forming molecular clouds. We examine molecular line data of the Perseus region from the COMPLETE survey alongside radiative transfer-processed ‘observations’ of the turbulent simulations of S. Offner to try to (1) understand to what extent we can actually measure pressure through observations, and (2) study how pressure changes within a cloud’s substructure.
Cool Stars 20 Proposal
and 11 collaborators
Focusing on Interest: Do High School Students Like the Idea of Helping Astronomers Revive Data in “oldAstronomy”
and 1 collaborator
Internet technologies make it easier and easier to share data globally, enabling a dramatic proliferation of online “citizen science” projects. One new project, called “oldAstronomy,” is in development by the Zooniverse team, based at Chicago’s Adler Planetarium, in collaboration with the WorldWide Telescope Ambassadors program at Harvard. The goal of the project is to restore hidden metadata to images in published astronomical articles, some more than 100 years old, making the images useful to researchers. In this paper, I investigate a possible role for high school students in the oldAstronomy project. Using two focus groups, one at Milton School and one at Cambridge Ringe and Latin School, I investigate which aspects of participating in oldAstronomy would be of most interest: connections to real data? to real scientists? connecting to other students worldwide? viewing interesting images? researching a topic related to images encountered? It was explained to the focus group students, before they were surveyed, that requirements for their participation in oldAstronomy will include: digesting a scientific paper; summarizing results; and writing a summary that is understandable to the general public or participating in a more creative final project. Results show that students are very interested in working with real data and in the beauty and meaning of images. However, the results also show that students are, perhaps surprisingly, not interested in collaborating and communicating with other students, either in-person (as group work), or online. In response to the feedback from these students’ negative responses to group work, instead of a group final paper, students could benefit in a similar way with a reproduction of the peer review process. Additionally from the feedback of students, there was interest in an alternative form of final assessment. The results of our study suggest that instead of a standard write up, students can create: a 3D model of their object; a website about it; or a WorldWide Telescope tour.
Transit Light Curves with Finite Integration Time: Fisher Information Analysis (Fix Title)
and 2 collaborators
Kepler has revolutionized the study of transiting planets with its unprecedented photometric precision on more than 150,000 target stars. Most of the thousands of transiting planet candidates detected by Kepler have been observed as long-cadence targets with 30 minute exposure times, and the upcoming Transiting Exoplanet Survey Satellite (TESS) will record full frame images with a similar integration time. Analytic approximations for the variances and covariances on the transit parameters can be derived from fitting non-binned light curve photometry to a non-binned model. Integrations of 30 minutes affect the transit shape, particularly for small planets and in cases of low signal to noise. We derive light curve models in terms of the transit parameters and exposure time, and we used the Fisher information matrix technique to derive the variances and covariances among the parameters due to fitting these binned models to binned data. We found that binning the light curve can significantly increase the uncertainties and covariances on the inferred parameters. Uncertainties on the transit ingress/egress time can increase by a factor of 34 for Earth-size planets and 3.4 for Jupiter-size planets around Sun-like stars for exposure times of 30 minutes compared to instantaneously-sampled light curves. Similarly, uncertainties on the mid-transit time for Earth- and Jupiter-size planets increase by factors of 3.9 and 1.4, respectively. On the other hand, uncertainties on the transit depth are largely unaffected by finite exposure times (increasing by a factor of only 1.07 under the influence of 30 minute exposure times). While correlations among the transit depth, ingress duration, and transit duration all increase in magnitude with longer exposure times, the mid-transit time remains uncorrelated with the other parameters. We provide code for predicting the variances and covariances of any set of planet parameters and exposure times at www.its.caltech.edu/~eprice.
Compressed Sensing for the Fast Computation of Matrices: Application to Molecular Vibrations
and 2 collaborators
This article presents a new method to compute matrices from numerical simulations based on the ideas of sparse sampling and compressed sensing. The method is useful for problems where the determination of the entries of a matrix constitutes the computational bottleneck. We apply this new method to an important problem in computational chemistry: the determination of molecular vibrations from electronic structure calculations, where our results show that the overall scaling of the procedure can be improved in some cases. Moreover, our method provides a general framework for bootstrapping cheap low-accuracy calculations in order to reduce the required number of expensive high-accuracy calculations, resulting in a significant 3\(\times\) speed-up in actual calculations.
HealthHack: the musical
and 7 collaborators
Imagine an event generating multiple innovations in medical research in one weekend. Imagine an event giving spreadsheet-limited laboratory researchers a taste of what computers can really do. Imagine an event where the powers of coding and analysis are combined with powers of biology, genetics and medicine to convert dry or unobtainable data into ground-breaking medical insight. And imagine it all done in a spirit of frenzied teamwork and friendly competition.
This is HealthHack, a 48 hour hackfest in which medical researchers nucleate teams of brilliant, creative people to solve the data-processing problems faced by real researchers and real clinicians.
The weekend opens on Friday evening with the problem owners pitching their ideas, problem and proposed solution, to the assembled hackers, followed by an hour in which hackers can approach problem owners with their questions and seek additional details. Hackers then choose which problem they are going to work on, and the assembled teams plan their assault and commence work on their application.
Apart from going home (presumably) to sleep, the event runs all weekend. Sunday 4pm is down tools, and the teams then present their prototypes to everyone, with prizes for first place, second place, and spirit of HealthHack.
Below is a sampling of the teams and their creations:
VLASS MSIP planning
and 14 collaborators
This is a planning space for the VLASS MSIP. Edit sections below. Be sure to “save and close” a section once complete.
Section 2: Define Data Products (maps and uv data)
Section 3: Define Data Products (Catalogs)
Section 4: Title Suggestions
The Skeleton of the Milky Way
and 2 collaborators