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Title: The Supernovae Analysis Application (SNAP)

Journal Article · · The Astrophysical Journal (Online)
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [3];  [5]; ORCiD logo [6]; ORCiD logo [3]; ORCiD logo [7];  [1];  [1];  [1];  [1];  [1]
  1. Southwest Research Inst. (SwRI), San Antonio, TX (United States). Dept. of Space Science
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Univ. of Arizona, Tucson, AZ (United States). Dept. of Physics; Univ. of New Mexico, Albuquerque, NM (United States). Dept. of Physics and Astronomy
  3. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  4. Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Southern Utah Univ., Cedar City, UT (United States)
  5. Univ. of Texas, San Antonio, TX (United States)
  6. Southwest Research Inst. (SwRI), San Antonio, TX (United States). Dept. of Space Science; Univ. of Texas, San Antonio, TX (United States)
  7. Arizona State Univ., Phoenix, AZ (United States). School of Earth and Space Exploration
+ Show Author Affiliations

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.

Research Organization:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
National Aeronautics and Space Administration (NASA); USDOE
Grant/Contract Number:
AC52-06NA25396
OSTI ID:
1400125
Report Number(s):
LA-UR-16-24615; TRN: US1702864
Journal Information:
The Astrophysical Journal (Online), Vol. 846, Issue 2; ISSN 1538-4357
Publisher:
Institute of Physics (IOP)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 1 work
Citation information provided by
Web of Science

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Cited By (2)

MOSFiT: Modular Open Source Fitter for Transients journal May 2018
MOSFiT: Modular open source fitter for transients text January 2018

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Related Subjects

79 ASTRONOMY AND ASTROPHYSICS
catalogs radiation mechanisms
general supernovae