activity
20232026
most citedMulti-messenger Gravitational Lensing

15 citations · 42 across the 11 of their papers we have counts for

collaborators

12 papers

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.HE2026★ 1 cited

Lightcurve Modelling of 2,205 ZTF DR2 Type~Ia Supernovae: Implications for SN Ia Physics and Cosmology

Nikhil Sarin, Ellen Lindsjö, Lisa Kelsey +11

We fit the multi-band light curves of 2,205 Type Ia supernovae (SNe~Ia) from the Zwicky Transient Facility DR2 with a one-zone radioactive decay model with a phenomenological addit…

astro-ph.IM2025★ 2 cited

The Case for Space: Estimating Precise Time Delays from Ground- and Space-Based Observations of Lensed Supernovae with Glimpse

Erin E. Hayes, Suhail Dhawan, Stephen Thorp +2

The delay in arrival time of the multiple images of gravitationally lensed supernovae (glSNe) can be related to the present-day expansion rate of the universe, . Despite the…

astro-ph.CO2025★ 2 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.HE2025★ 15 cited

Multi-messenger Gravitational Lensing

Graham P. Smith, Tessa Baker, Simon Birrer +38

We introduce the rapidly emerging field of multi-messenger gravitational lensing - the discovery and science of gravitationally lensed phenomena in the distant universe through the…

astro-ph.GA2025★ 3 cited

Microlensing of lensed supernovae Zwicky & iPTF16geu: constraints on the lens galaxy mass slope and dark compact object fraction

Nikki Arendse, Edvard Mörtsell, Luke Weisenbach +9

To date, only two strongly lensed type Ia supernovae (SNIa) have been discovered with an isolated galaxy acting as the lens: iPTF16geu and SN Zwicky. The observed image fluxes for…

astro-ph.IM2024

The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data

The Multimodal Universe Collaboration, Jeroen Audenaert, Micah Bowles +26

We present the MULTIMODAL UNIVERSE, a large-scale multimodal dataset of scientific astronomical data, compiled specifically to facilitate machine learning research. Overall, the MU…

astro-ph.HE2024★ 6 cited

LensWatch. II. Improved Photometry and Time-delay Constraints on the Strongly Lensed Type Ia Supernova 2022qmx ("SN Zwicky") with HST Template Observations

Conor Larison, Justin D. R. Pierel, Max J. B. Newman +34

Strongly lensed supernovae (SNe) are a rare class of transient that can offer tight cosmological constraints that are complementary to methods from other astronomical events. We pr…

astro-ph.IM2024★ 5 cited

ELEPHANT: ExtragaLactic alErt Pipeline for Hostless AstroNomical Transients

P. J. Pessi, R. Durgesh, L. Nakazono +11

Context. Transient astronomical events that exhibit no discernible association with a host galaxy are commonly referred to as hostless. These rare phenomena are associated with ext…

astro-ph.CO2024★ 3 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★ 5 cited

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…