The Supernovae Analysis Application (SNAP)

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

doi:10.3847/1538-4357/aa831d

The Supernovae Analysis Application (SNAP)

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

Earth and Space Exploration, School of (SESE)

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

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.

Original language	English (US)
Article number	101
Journal	Astrophysical Journal
Volume	846
Issue number	2
DOIs	https://doi.org/10.3847/1538-4357/aa831d
State	Published - Sep 10 2017

Keywords

catalogs
radiation mechanisms: general
supernovae: general

ASJC Scopus subject areas

Astronomy and Astrophysics
Space and Planetary Science

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10.3847/1538-4357/aa831d

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title = "The Supernovae Analysis Application (SNAP)",

abstract = "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.",

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AU - Rosa, Janie De La

AU - Roming, Peter W.A.

AU - Frey, Lucy

AU - Young, Patrick

AU - Thorpe, Rob

AU - Powell, Luke

AU - Landers, Rachel

AU - Persson, Heather D.

AU - Hay, Rebecca

PY - 2017/9/10

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N2 - 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.

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The Supernovae Analysis Application (SNAP)

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Keywords

ASJC Scopus subject areas

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