| Autor: |
Amanda J. Bayless, Chris L. Fryer, Ryan Wollaeger, Brandon Wiggins, Wesley Even, Janie de la Rosa, Peter W. A. Roming, Lucy Frey, Patrick A. Young, Rob Thorpe, Luke Powell, Rachel Landers, Heather D. Persson, Rebecca Hay |
| Předmět: |
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| Zdroj: |
Astrophysical Journal; 9/10/2021, Vol. 846 Issue 2, p1-1, 1p |
| Abstrakt: |
The SuperNovae Analysis aPplication (SNAP) is a new tool for the analysis of SN observations and validation of SN models. SNAP consists of a publicly available relational database with observational light curve, theoretical light curve, and correlation table sets with 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 upload new SN models or new SN observations and run the comparison software to determine correlations via the website. There are problems looming on the horizon that SNAP is beginning to solve. For example, 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. Second, there is no rapidly available, systematic way to determine degeneracies between parameters, or even what physics is needed to model a realistic SN. The correlations made within the SNAP system are beginning to solve these problems. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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