Search NASA⌕ Search
Home/Archive/DOE OSTI

DOE OSTI · 1400125

The Supernovae Analysis Application (SNAP)

Bayless, Amanda J.·Fryer, Christopher Lee·Wollaeger, Ryan Thomas·Wiggins, Brandon Kerry·Even, Wesley Paul·Rosa, Janie de la·Roming, Peter W. A.·Frey, Lucy Helen·Young, Patrick A.·Thorpe, Rob·Powell, Luke·Landers, Rachel·Persson, Heather D.·Hay, Rebecca
View original source ↗Read source document ↗Export metadata ↓

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.

Explore related subjects

79 ASTRONOMY AND ASTROPHYSICScatalogs radiation mechanismsgeneral supernovae

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Bayless, Amanda J., Fryer, Christopher Lee, Wollaeger, Ryan Thomas, Wiggins, Brandon Kerry, Even, Wesley Paul, Rosa, Janie de la, Roming, Peter W. A., Frey, Lucy Helen, Young, Patrick A., Thorpe, Rob, Powell, Luke, Landers, Rachel, Persson, Heather D., Hay, Rebecca. 2017-09-06. The Supernovae Analysis Application (SNAP). https://doi.org/10.3847/1538-4357%2Faa831d

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

DOE OSTI2026

Dust Survival in Galactic Winds

This repository contains three-dimensional volumetric data from an Eulerian hydrodynamical simulation (conducted on a uniform Cartesian grid) generated by the Cholla hydrodynamics code. The datasets contain snapshots (full-grid, projections, and slices) in the HDF5 format of a multi-phase medium in which a hot, diffuse, dust-free background wind accelerates a cool, dense cloud of gas and dust. This scenario is intended to represent a supernova-driven galactic outflow, in which hot supernova winds are thought to accelerate cool interstellar medium material out of the galactic disk into the surrounding circumgalactic medium. There are three separate datasets for simulations corresponding to three cloud evolutionary scenarios: long-term cloud survival (surv), marginal cloud survival (disr), and cloud destruction (dest). Projection and slice images of the simulations are also included in this repository.

79 ASTRONOMY AND ASTROPHYSICS↗
DOE OSTI2026

Unraveling TeV halos with the Cherenkov Telescope Array

Pulsars are observed to emit bright and spatially extended gamma-ray emission at multi-TeV energies. These so-called "TeV halos" are now understood to be a nearly universal feature of middle-aged pulsars. However, many of the key physical processes that govern these systems, particularly those affecting particle diffusion, remain poorly constrained. We aim to evaluate the ability of the Cherenkov Telescope Array (CTA) to probe the physical properties of TeV halos, with a focus on the nearby and well-studied case of the Geminga pulsar. We simulate gamma-ray emission from various TeV halo models, incorporating different assumptions for the injected electron spectrum, spin-down evolution, and energy-dependent diffusion. These models are then used to forecast CTA's sensitivity to spectral and spatial differences, based on realistic mock observations and instrument response simulations. We find that CTA will be able to distinguish between a wide range of TeV halo models that are currently consistent with existing data. In particular, CTA observations can constrain the normalization, energy dependence, and spatial extent of the diffusion coefficient surrounding Geminga, as well as the spectral shape of the injected electron population.

79 ASTRONOMY AND ASTROPHYSICS↗