YSE-PZ: A Transient Survey Management Platform that Empowers the Human-in-the-loop

DA Coulter, DO Jones, P McGill, RJ Foley… - Publications of the …, 2023 - iopscience.iop.org
The modern study of astrophysical transients has been transformed by an exponentially
growing volume of data. Within the last decade, the transient discovery rate has increased …

The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae

PD Aleo, K Malanchev, S Sharief… - The Astrophysical …, 2023 - iopscience.iop.org
Abstract We present the Young Supernova Experiment Data Release 1 (YSE DR1),
comprised of processed multicolor PanSTARRS1 griz and Zwicky Transient Facility (ZTF) gr …

pop-cosmos: A comprehensive picture of the galaxy population from COSMOS data

J Alsing, S Thorp, S Deger, HV Peiris… - The Astrophysical …, 2024 - iopscience.iop.org
We present pop-cosmos: a comprehensive model characterizing the galaxy population,
calibrated to 140,938 (r< 25 selected) galaxies from the Cosmic Evolution Survey …

The lsst desc dc2 simulated sky survey

B Abolfathi, D Alonso, R Armstrong… - The Astrophysical …, 2021 - iopscience.iop.org
We describe the simulated sky survey underlying the second data challenge (DC2) carried
out in preparation for analysis of the Vera C. Rubin Observatory Legacy Survey of Space …

First Impressions: Early-time Classification of Supernovae Using Host-galaxy Information and Shallow Learning

A Gagliano, G Contardo… - The Astrophysical …, 2023 - iopscience.iop.org
Substantial effort has been devoted to the characterization of transient phenomena from
photometric information. Automated approaches to this problem have taken advantage of …

Identifying tidal disruption events with an expansion of the FLEET machine-learning algorithm

S Gomez, VA Villar, E Berger, S Gezari… - The Astrophysical …, 2023 - iopscience.iop.org
We present an expansion of FLEET, a machine-learning algorithm optimized to select
transients that are most likely tidal disruption events (TDEs). FLEET is based on a random …

Delight: Deep learning identification of galaxy hosts of transients using multiresolution images

F Förster, AMM Arancibia, I Reyes-Jainaga… - The Astronomical …, 2022 - iopscience.iop.org
We present DELIGHT, or Deep Learning Identification of Galaxy Hosts of Transients, a new
algorithm designed to automatically and in real time identify the host galaxies of …

Find the haystacks, then look for needles: the rate of strongly lensed supernovae in galaxy–galaxy strong gravitational lenses

A Sainz de Murieta, TE Collett… - Monthly Notices of …, 2024 - academic.oup.com
The time-delay between appearances of multiple images of a gravitationally lensed
supernova (glSN) is sensitive to the Hubble constant,. As well as time-delays, a lensed host …

Classifying astronomical transients using only host galaxy photometry

M Kisley, YJ Qin, A Zabludoff, K Barnard… - The Astrophysical …, 2023 - iopscience.iop.org
Abstract The Legacy Survey of Space and Time (LSST) at the Vera C. Rubin Observatory
will discover tens of thousands of extragalactic transients each night. The high volume of …

Two c's in a pod: cosmology-independent measurement of the Type Ia supernova colour–luminosity relation with a sibling pair

R Biswas, A Goobar, S Dhawan… - Monthly Notices of …, 2022 - academic.oup.com
ABSTRACT Using Zwicky Transient Facility (ZTF) observations, we identify a pair of
'sibling'Type Ia supernovae (SNe Ia), ie hosted by the same galaxy at z= 0.0541. They …