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

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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 languageEnglish (US)
Article number101
JournalAstrophysical Journal
Issue number2
StatePublished - Sep 10 2017


  • catalogs
  • radiation mechanisms: general
  • supernovae: general

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science


Dive into the research topics of 'The Supernovae Analysis Application (SNAP)'. Together they form a unique fingerprint.

Cite this