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20232026
most citedMulti-messenger Gravitational Lensing

15 citations · 26 across the 8 of their papers we have counts for

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Showing astro-ph.COShow all

5 papers · 1 filter

astro-ph.CO2026

Follow-up of SN 2025wny IV: Photometric Time-delay Measurements of a Strongly Lensed Superluminous Supernova

Alice Townsend, Suhail Dhawan, Erin E. Hayes +34

We present photometric time-delay measurements of SN 2025wny, the first strongly lensed Type I superluminous supernova (SLSN-I), discovered at . Time-delay measurements…

astro-ph.CO2026

SLSim: a strong lensing population simulation package

Narayan Khadka, Simon Birrer, Henry Best +45

Gravitational lensing offers unique insights into cosmology by bending light around massive objects. Strong gravitational lensing, in particular, produces magnified and often multi…

astro-ph.CO20252 cited

Characterising the Standardisation Properties of Type Ia Supernovae in the z band with Hierarchical Bayesian Modelling

Erin E. Hayes, Suhail Dhawan, Kaisey S. Mandel +21

Type Ia supernovae (SNe Ia) are standardisable candles: their peak magnitudes can be corrected for correlations between light curve properties and their luminosities to precisely e…

astro-ph.CO20243 cited

Scalable hierarchical BayeSN inference: Investigating dependence of SN Ia host galaxy dust properties on stellar mass and redshift

Matthew Grayling, Stephen Thorp, Kaisey S. Mandel +5

We apply the hierarchical probabilistic SED model BayeSN to analyse a sample of 475 SNe Ia (0.015 < z < 0.4) from Foundation, DES3YR and PS1MD to investigate the properties of dust…

astro-ph.CO2023

GausSN: Bayesian Time-Delay Estimation for Strongly Lensed Supernovae

Erin E. Hayes, Stephen Thorp, Kaisey S. Mandel +3

We present GausSN, a Bayesian semi-parametric Gaussian Process (GP) model for time-delay estimation with resolved systems of gravitationally lensed supernovae (glSNe). GausSN model…