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arXiv · 1611.03896

The Supernovae Analysis Application (SNAP)

Amanda J. Bayless·Chris L. Fryer·Brandon Wiggins·Wesley Even·Ryan Wollaeger·Janie de la Rosa·Peter W. A. Roming·Lucy Frey·Patrick A. Young·Rob Thorpe·Luke Powell·Rachel Landers·Heather D. Persson·Rebecca Hay
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Abstract

The SuperNovae Analysis aPplication (SNAP) is a new tool for the analysis of SN observations and validation of SN models. SNAP consists of an open source relational database with (a) observational light curve, (b) theoretical light curve, and (c) correlation table sets, statistical comparison software, and a web interface available to the community. The theoretical models are intended to span a gridded range of parameter space. The goal is to have users to upload new SN models or new SN observations and run the comparison software to determine correlations via the web site. There are looming problems on the horizon that SNAP begins to solve. Namely, large surveys will discover thousands of SNe annually. Frequently, the parameter space of a new SN event is unbounded. SNAP will be a resource to constrain parameters and determine if an event needs follow-up without spending resources to create new light curve models from scratch. Secondly, there is not a rapidly available, systematic way to determine degeneracies between parameters or even what physics is needed to model a realistic SNe. The correlations made within the SNAP system begin to solve these problems.

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Amanda J. Bayless, Chris L. Fryer, Brandon Wiggins, Wesley Even, Ryan Wollaeger, Janie de la Rosa, Peter W. A. Roming, Lucy Frey, Patrick A. Young, Rob Thorpe, Luke Powell, Rachel Landers, Heather D. Persson, Rebecca Hay. 2016-11-11. The Supernovae Analysis Application (SNAP). https://doi.org/10.3847/1538-4357%2Faa831d

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