MG
Matthew Grayling
astro-ph.COastro-ph.HEastro-ph.IMastro-ph.GAastro-ph.SRstat.APcs.AIcs.LGstat.MEstat.ML
On Valency
published · living versionsW_uqrwxra5·v1 · currentpublished
Characterising the Standardisation Properties of Type Ia Supernovae in the z band with Hierarchical Bayesian Modelling
with Erin E. Hayes, Suhail Dhawan, Kaisey S. Mandel, David O. Jones +19
1 version
W_eytjk7hp·v1published
Preprints & journals
33 papers in the corpus · 2019–20262Flow2SN: Dusty Supernova Cosmology with Photometric Redshifts and Contamination using Neural Simulation-Based Inference2610.30244v1 · Benjamin M. Boyd, Maximilian Autenrieth, Kaisey S. Mandel et al.2026 · 0 citationsarXiv
jax-SNANA: A GPU-accelerated Supernova Framework for the SBI Era2610.19000v1 · Matthew Grayling2026 · 0 citationsarXiv
Extreme Stellar Death and Galaxy Feedback at z = 2: A Rest-frame Ultraviolet Characterization of the Strongly Lensed Superluminous Supernova 2025wny2610.08903v1 · Willem B. Hoogendam, David O. Jones, Christopher J. Storfer et al.2026 · 0 citationsarXiv
On the origin of the environmental dependence of SN Ia magnitudes: A BayeSN view of the ZTF SN Ia DR22605.06799v3 · Madeleine Ginolin, Matthew Grayling, Kaisey S. Mandel et al.2026 · 0 citationsMon Not R Astron Soc (2026)
FlowSN: Neural Simulation-Based Inference under Realistic Selection Effects applied to Supernova Cosmology2603.11165v3 · Benjamin M. Boyd, Kaisey S. Mandel, Matthew Grayling et al.2026 · 1 citationMon Not R Astron Soc (2026)
Lightcurve Modelling of 2,205 ZTF DR2 Type~Ia Supernovae: Implications for SN Ia Physics and Cosmology2602.02677v2 · Nikhil Sarin, Ellen Lindsjo, Lisa Kelsey et al.2026 · 2 citationsMon Not R Astron Soc (2026)
Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration2601.14235v1 · Eric Aubourg, Camille Avestruz, Matthew R. Becker et al.2026 · 0 citationsarXiv
A Fully Photometric Approach to Type Ia Supernova Cosmology in the LSST Era: Host Galaxy Redshifts and Supernova Classification2512.06319v2 · Ayan Mitra, Richard Kessler, Rebecca C. Chen et al.2025 · 1 citationarXiv
The Dark Energy Survey Supernova Program: A Reanalysis Of Cosmology Results And Evidence For Evolving Dark Energy With An Updated Type Ia Supernova Calibration2511.07517v3 · B. Popovic, P. Shah, W. D. Kenworthy et al.2025 · 57 citationsMon Not R Astron Soc (2026)
BayeSN-TD: Time Delay and Estimation for Lensed SN H0pe2510.11719v2 · M. Grayling, S. Thorp, K. S. Mandel et al.2025 · 3 citationsarXiv
Testing Lens Models of PLCK G165.7+67.0 Using Lensed SN H0pe2510.07637v2 · Aadya Agrawal, J. D. R. Pierel, Gautham Narayan et al.2025 · 2 citations2026, ApJ, 1002, 2, 187
A Reassessment of the Pantheon+ and DES 5YR Calibration Uncertainties: Dovekie2506.05471v1 · B. Popovic, W.D. Kenworthy, M. Ginolin et al.2025 · 9 citationsarXiv
Characterising the Standardisation Properties of Type Ia Supernovae in the z band with Hierarchical Bayesian Modelling2506.04309v2 · Erin E. Hayes, Suhail Dhawan, Kaisey S. Mandel et al.2025 · 2 citationsMNRAS 541, 2 (2025)on Valency
Large Cold Dust Reservoir Revealed in Transitional SN Ib 2014C by James Webb Space Telescope Mid-Infrared Spectroscopy2504.14009v2 · Samaporn Tinyanont, Ori D. Fox, Melissa Shahbandeh et al.2025 · 11 citationsarXiv
DAmodel: Hierarchical Bayesian Modelling of DA White Dwarfs for Spectrophotometric Calibration2412.08809v3 · Benjamin M. Boyd, Gautham Narayan, Kaisey S. Mandel et al.2024 · 6 citationsMonthly Notices of the Royal Astronomical Society, Volume 540, Issue 1, June 2025, Pages 385-415
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data2412.02527v1 · The Multimodal Universe Collaboration. Eirini Angeloudi, Jeroen Audenaert, Micah Bowles et al.2024 · 5 citationsarXiv
BayeSN and SALT: A Comparison of Dust Inference Across SN Ia Light-curve Models with DES5YR2410.13747v3 · Matthew Grayling, Brodie Popovic2024 · 4 citationsMon Not R Astron Soc (2025) 2060-2073
Accounting for Selection Effects in Supernova Cosmology with Simulation-Based Inference and Hierarchical Bayesian Modelling2407.15923v1 · Benjamin M. Boyd, Matthew Grayling, Stephen Thorp et al.2024 · 5 citationsarXiv
Variational Inference for Acceleration of SN Ia Photometric Distance Estimation with BayeSN2405.06013v2 · Ana Sof'ia M. Uzsoy, Stephen Thorp, Matthew Grayling et al.2024 · 5 citationsarXiv
Anomaly Detection and Approximate Similarity Searches of Transients in Real-time Data Streams2404.01235v2 · P. D. Aleo, A. W. Engel, G. Narayan et al.2024 · 10 citationsarXiv
JWST Photometric Time-Delay and Magnification Measurements for the Triply-Imaged Type Ia "Supernova H0pe" at z = 1.782403.18954v2 · J.D.R. Pierel, B. L. Frye, M. Pascale et al.2024 · 41 citationsarXiv
SIDE-real: Supernova Ia Dust Extinction with truncated marginal neural ratio estimation applied to real data2403.07871v2 · Konstantin Karchev, Matthew Grayling, Benjamin M. Boyd et al.2024 · 9 citationsMon. Notices Royal Astron. Soc. 530 (2024) 3881-3896
Scalable hierarchical BayeSN inference: Investigating dependence of SN Ia host galaxy dust properties on stellar mass and redshift2401.08755v2 · Matthew Grayling, Stephen Thorp, Kaisey S. Mandel et al.2024 · 38 citationsarXiv
SN2023ixf in Messier 101: the twilight years of the progenitor as seen by Pan-STARRS2312.04426v1 · Conor L. Ransome, V. Ashley Villar, Anna Tartaglia et al.2023 · 34 citationsarXiv
GausSN: Bayesian Time-Delay Estimation for Strongly Lensed Supernovae2311.17997v2 · Erin E. Hayes, Stephen Thorp, Kaisey S. Mandel et al.2023 · 6 citationsMNRAS, 530, pp.3942-3963 (2024)
Bird-Snack: Bayesian Inference of dust law Distributions using SN Ia Apparent Colours at peaK2310.07753v1 · Sam M. Ward, Suhail Dhawan, Kaisey S. Mandel et al.2023 · 0 citationsarXiv
Keck Infrared Transient Survey I: Survey Description and Data Release 12309.07102v1 · S. Tinyanont, R. J. Foley, K. Taggart et al.2023 · 19 citationsarXiv
Photometric study of the late-time near-infrared plateau in Type Ia supernovae2303.09548v1 · M. Deckers, O. Graur, K. Maguire et al.2023 · 9 citationsarXiv
The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae2211.07128v2 · P. D. Aleo, K. Malanchev, S. Sharief et al.2022 · 48 citationsarXiv
Core-collapse Supernovae in the Dark Energy Survey: Luminosity Functions and Host Galaxy Demographics2207.08520v2 · M. Grayling, C. P. Guti'errez, M. Sullivan et al.2022 · 10 citationsMNRAS 520 (2023) 684-701on Valency
Understanding the extreme luminosity of DES14X2fna2103.14669v1 · M. Grayling, C. P. Guti'errez, M. Sullivan et al.2021 · 8 citationsarXiv
The Effect of Environment on Type Ia Supernovae in the Dark Energy Survey Three-Year Cosmological Sample2008.12101v2 · L. Kelsey, M. Sullivan, M. Smith et al.2020 · 76 citationsarXiv
The Mystery of Photometric Twins DES17X1boj and DES16E2bjy1911.12083v2 · M. Pursiainen, C. Gutierrez, P. Wiseman et al.2019 · 7 citationsarXiv
Career total: 58 works. 33 are in this corpus.
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