The Dawes Review 10: The impact of deep learning for the analysis of galaxy surveys

F Lanusse - Publications of the Astronomical Society of Australia, 2023 - cambridge.org
The amount and complexity of data delivered by modern galaxy surveys has been steadily
increasing over the past years. New facilities will soon provide imaging and spectra of …

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 …

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 Dark Energy Survey 5-yr photometrically classified type Ia supernovae without host-galaxy redshifts

A Möller, P Wiseman, M Smith, C Lidman… - Monthly Notices of …, 2024 - academic.oup.com
ABSTRACT Current and future Type Ia Supernova (SN Ia) surveys will need to adopt new
approaches to classifying SNe and obtaining their redshifts without spectra if they wish to …

The MOST Hosts Survey: Spectroscopic Observation of the Host Galaxies of∼ 40,000 Transients Using DESI

MT Soumagnac, P Nugent, RA Knop… - The Astrophysical …, 2024 - iopscience.iop.org
Abstract We present the Multi-Object Spectroscopy of Transient (MOST) Hosts survey. The
survey is planned to run throughout the 5 yr of operation of the Dark Energy Spectroscopic …

ZTF SN Ia DR2: Study of Type Ia supernova light-curve fits

M Rigault, M Smith, N Regnault, WD Kenworthy… - Astronomy & …, 2025 - aanda.org
Type Ia supernova (SN Ia) cosmology relies on the estimation of light-curve parameters to
derive precision distances, which are used to infer cosmological parameters such as H 0, Ω …

Carnegie Supernova Project. II. Near-infrared Spectral Diversity and Template of Type Ia Supernovae

J Lu, EY Hsiao, MM Phillips, CR Burns… - The Astrophysical …, 2023 - iopscience.iop.org
We present the largest and most homogeneous collection of near-infrared (NIR) spectra of
Type Ia supernovae (SNe Ia): 339 spectra of 98 individual SNe obtained as part of the …

Searching for electromagnetic emission in an AGN from the gravitational wave binary black hole merger candidate S230922g

T Cabrera, A Palmese, L Hu, B O'Connor, KES Ford… - Physical Review D, 2024 - APS
We carried out long-term monitoring of the LIGO/Virgo/KAGRA binary black hole (BBH)
merger candidate S230922g in search of electromagnetic emission from the interaction of …

Superphot+: Real-time Fitting and Classification of Supernova Light Curves

KM de Soto, VA Villar, E Berger, S Gomez… - The Astrophysical …, 2024 - iopscience.iop.org
Photometric classifications of supernova (SN) light curves have become necessary to utilize
the full potential of large samples of observations obtained from wide-field photometric …

Machine learning and cosmology

C Dvorkin, S Mishra-Sharma, B Nord, VA Villar… - arxiv preprint arxiv …, 2022 - arxiv.org
Methods based on machine learning have recently made substantial inroads in many
corners of cosmology. Through this process, new computational tools, new perspectives on …