Back to Search Start Over

The simulated catalogue of optical transients and correlated hosts (SCOTCH)

Authors :
Lokken, Martine
Gagliano, Alexander
Narayan, Gautham
Hložek, Renée
Kessler, Richard
Crenshaw, John Franklin
Salo, Laura
Alves, Catarina S.
Chatterjee, Deep
Vincenzi, Maria
Malz, Alex I.
Collaboration, The LSST Dark Energy Science
Source :
Monthly Notices of the Royal Astronomical Society. 520:2887-2912
Publication Year :
2023
Publisher :
Oxford University Press (OUP), 2023.

Abstract

As we observe a rapidly growing number of astrophysical transients, we learn more about the diverse host galaxy environments in which they occur. Host galaxy information can be used to purify samples of cosmological Type Ia supernovae, uncover the progenitor systems of individual classes, and facilitate low-latency follow-up of rare and peculiar explosions. In this work, we develop a novel data-driven methodology to simulate the time-domain sky that includes detailed modeling of the probability density function for multiple transient classes conditioned on host galaxy magnitudes, colours, star formation rates, and masses. We have designed these simulations to optimize photometric classification and analysis in upcoming large synoptic surveys. We integrate host galaxy information into the SNANA simulation framework to construct the Simulated Catalogue of Optical Transients and Correlated Hosts (SCOTCH), a publicly-available catalogue of 5 million idealized transient light curves in LSST passbands and their host galaxy properties over the redshift range $0<br />Comment: 30 pages, 21 figures. Updated to reflect version published in MNRAS Vol. 520, Issue 2. This version improves the treatment of transient-host offsets and AGN host correlations. Associated SCOTCH files are available through Zenodo at https://doi.org/10.5281/zenodo.7563623

Details

ISSN :
13652966 and 00358711
Volume :
520
Database :
OpenAIRE
Journal :
Monthly Notices of the Royal Astronomical Society
Accession number :
edsair.doi.dedup.....465f5fad918cbae28a8adf29f4c375be
Full Text :
https://doi.org/10.1093/mnras/stad302