KM
Kaisey S. Mandel
astro-ph.COastro-ph.IMastro-ph.GAastro-ph.HEastro-ph.SRstat.APcs.LGastro-phastro-ph.EPstat.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, David O. Jones, Ryan J. Foley +19
1 version
W_cx87qxgm·v1published
W_r3rdn45f·v1published
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W_jq4ymmyx·v1published
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Preprints & journals
85 papers in the corpus · 2002–20262Flow2SN: 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
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
BayeSN Dovekie: Joint Photometric Cross-calibration and SED Modelling of Type Ia Supernovae2606.19429v1 · M. Grayling, B. Popovic, M. Ginolin et al.2026 · 0 citationsarXiv
Hawai`i Supernova Flows: Bulk Flow Measurements using SNe Ia in the Optical and NIR2606.17142v1 · Aaron Do, Kaisey S. Mandel, Benjamin J. Shappee 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)
Supernova 2025wny: High-angular resolution Keck/NIRC2 observations and preliminary lens modeling2604.02418v1 · Christopher J. Storfer, Kenneth C. Wong, Ana Acebron et al.2026 · 0 citationsarXiv
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)
Normal or transitional? The evolution and properties of two type Ia supernovae in the Virgo cluster2512.00555v1 · L. Izzo, C. Gall, N. Khetan et al.2025 · 1 citationarXiv
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
Misspecification-robust amortised simulation-based inference using variational methods2509.05724v3 · Matthew O'Callaghan, Kaisey S. Mandel, Gerry Gilmore2025 · 2 citationsarXiv
Data-driven dust inference at mid-to-high Galactic latitudes using probabilistic machine learning2508.05781v2 · Matthew O'Callaghan, Kaisey S. Mandel, Gerry Gilmore2025 · 1 citationarXiv
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
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
Six Maxims of Statistical Acumen for Astronomical Data Analysis2408.16179v2 · Hyungsuk Tak, Yang Chen, Vinay L. Kashyap et al.2024 · 3 citationsarXiv
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
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
Hawai'i Supernova Flows: A Peculiar Velocity Survey Using Over a Thousand Supernovae in the Near-Infrared2403.05620v2 · Aaron Do, Benjamin J. Shappee, John L. Tonry et al.2024 · 4 citationsarXiv
Using Rest-Frame Optical and NIR Data from the RAISIN Survey to Explore the Redshift Evolution of Dust Laws in SN Ia Host Galaxies2402.18624v2 · Stephen Thorp, Kaisey S. Mandel, David O. Jones et al.2024 · 15 citationsMNRAS 530, 4016-4031 (2024)
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
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)
Quantifying Interstellar Extinction at High Galactic Latitudes2311.03199v3 · Matthew O'Callaghan, Gerry Gilmore, Kaisey S. Mandel2023 · 3 citationsarXiv
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
Roman CCS White Paper: Measuring Type Ia Supernovae Discovered in the Roman High Latitude Time Domain Survey2307.02670v1 · Rebekah Hounsell, Dan Scolnic, Dillon Brout et al.2023 · 4 citationsarXiv
Constraints on the Hubble constant from supernova Refsdal's reappearance.37167351 · Kelly, Patrick L, Rodney, Steven, Treu, Tommaso et al.2023 · 133 citationsScience (New York, N.Y.). 2023;380(6649):eabh1322
SN2023ixf in Messier 101: A Variable Red Supergiant as the Progenitor Candidate to a Type II Supernova2306.04722v1 · Charles D. Kilpatrick, Ryan J. Foley, Wynn V. Jacobson-Gal'an et al.2023 · 96 citationsarXiv
The Magnificent Five Images of Supernova Refsdal: Time Delay and Magnification Measurements2305.06377v1 · Patrick L. Kelly, Steven Rodney, Tommaso Treu et al.2023 · 38 citationsarXiv
Flight of the Bumblebee: the Early Excess Flux of Type Ia Supernova 2023bee revealed by , and Young Supernova Experiment Observations2305.03779v2 · Qinan Wang, Armin Rest, Georgios Dimitriadis et al.2023 · 23 citationsarXiv
Avoiding methane emission rate underestimates when using the divergence method2304.10303v3 · Clayton Roberts, Rutger IJzermans, David Randell et al.2023 · 6 citationsarXiv
The DEHVILS Survey Overview and Initial Data Release: High-Quality Near-Infrared Type Ia Supernova Light Curves at Low Redshift2301.11868v2 · Erik R. Peterson, David O. Jones, Daniel Scolnic et al.2023 · 14 citationsarXiv
Evidence for a Massive Andromeda Galaxy Using Satellite Galaxy Proper Motions2211.15928v3 · Ekta Patel, Kaisey S. Mandel2022 · 24 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
A BayeSN Distance Ladder: from a consistent modelling of Type Ia supernovae from the optical to the near infrared2211.07657v3 · Suhail Dhawan, Stephen Thorp, Kaisey S. Mandel et al.2022 · 26 citationsarXiv
Constraining the SN Ia Host Galaxy Dust Law Distribution and Mass Step: Hierarchical BayeSN Analysis of Optical and Near-Infrared Light Curves2209.10552v1 · Stephen Thorp, Kaisey S. Mandel2022 · 26 citationsMNRAS 517, 2360-2382 (2022)
Relative intrinsic scatter in hierarchical Type Ia supernova siblings analyses: Application to SNe 2021hpr, 1997bq & 2008fv in NGC 31472209.10558v2 · Sam M. Ward, Stephen Thorp, Kaisey S. Mandel et al.2022 · 2 citationsarXiv
Cosmological Results from the RAISIN Survey: Using Type Ia Supernovae in the Near Infrared as a Novel Path to Measure the Dark Energy Equation of State2201.07801v2 · D. O. Jones, K. S. Mandel, R. P. Kirshner et al.2022 · 57 citationsApJ, 933, 172J, 2022
Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data2112.08415v1 · Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner et al.2021 · 0 citationsarXiv
Enhanced monitoring of atmospheric methane from space over the Permian basin with hierarchical Bayesian inference2111.12486v5 · Clayton Roberts, Oliver Shorttle, Kaisey Mandel et al.2021 · 11 citationsarXiv
A Reference Survey for Supernova Cosmology with the Nancy Grace Roman Space Telescope2111.03081v1 · B. M. Rose, C. Baltay, R. Hounsell et al.2021 · 25 citationsarXiv
Real-Time Detection of Anomalies in Large-Scale Transient Surveys2111.00036v2 · Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner et al.2021 · 25 citationsarXiv
An Early-Time Optical and Ultraviolet Excess in the type-Ic SN 2020oi2105.09963v2 · Alexander Gagliano, Luca Izzo, Charles D. Kilpatrick et al.2021 · 35 citationsarXiv
Testing the Consistency of Dust Laws in SN Ia Host Galaxies: A BayeSN Examination of Foundation DR12102.05678v3 · Stephen Thorp, Kaisey S. Mandel, David O. Jones et al.2021 · 55 citationsMNRAS 508, 4310-4331 (2021)
Results of the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC)2012.12392v1 · R. Hlozek, K. A. Ponder, A. I. Malz et al.2020 · 35 citationsarXiv
A Hierarchical Bayesian SED Model for Type Ia Supernovae in the Optical to Near-Infrared2008.07538v3 · Kaisey S. Mandel, Stephen Thorp, Gautham Narayan et al.2020 · 81 citationsarXiv
Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era1911.02479v1 · Brian Nord, Andrew J. Connolly, Jamie Kinney et al.2019 · 3 citationsarXiv
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