papers

Publications (18)

astro-ph.IM2022

Rubin-Euclid Derived Data Products: Initial Recommendations

Leanne P. Guy, Jean-Charles Cuillandre, Etienne Bachelet +117

astro-ph.CO2023

Strong gravitational lensing and microlensing of supernovae

Sherry H. Suyu, Ariel Goobar, Thomas Collett +2

astro-ph.IM2022

Deep Drilling in the Time Domain with DECam: Survey Characterization

Melissa L. Graham, Robert A. Knop, Thomas Kennedy +41

astro-ph.CO2021

The LSST Dark Energy Science Collaboration (DESC) Science Requirements Document

The LSST Dark Energy Science Collaboration, Rachel Mandelbaum, Tim Eifler +32

astro-ph.CO2019

Wide-field Multi-object Spectroscopy to Enhance Dark Energy Science from LSST

Rachel Mandelbaum, Jonathan Blazek, Nora Elisa Chisari +12

gr-qc2020

Search for strongly lensed counterpart images of binary black hole mergers in the first two LIGO observing runs

Connor McIsaac, David Keitel, Thomas Collett +4

astro-ph.GA2025

Stars as cosmic scales: measuring stellar mass with microlensed supernovae

Luke Weisenbach, Thomas Collett, Wolfgang Enzi +2

astro-ph.CO2026

SLSim: a strong lensing population simulation package

Narayan Khadka, Simon Birrer, Henry Best +45

astro-ph.GA2024

How to Break the Mass Sheet Degeneracy with the Lightcurves of Microlensed Type Ia Supernovae

Luke Weisenbach, Thomas Collett, Ana Sainz de Murieta +4

astro-ph.CO2019

Single-object Imaging and Spectroscopy to Enhance Dark Energy Science from LSST

Renée A. Hložek, Thomas Collett, Lluís Galbany +9

astro-ph.GA2019

Strong Lensing considerations for the LSST observing strategy

Aprajita Verma, Thomas Collett, Graham P. Smith +2

astro-ph.HE2026

Joint Bayesian Source and Lens Reconstruction for Multi-messenger Binary Black Holes

Laura Uronen, Tian Li, Justin Janquart +5

astro-ph.IM2018

Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Wide-Fast-Deep Survey

Michelle Lochner, Daniel M. Scolnic, Humna Awan +33

astro-ph.CO2019

Model-independent determination of and from strong lensing and type Ia supernovae

Thomas Collett, Francesco Montanari, Syksy Rasanen

astro-ph.IM2017

Finding strong lenses in CFHTLS using convolutional neural networks

Colin Jacobs, Karl Glazebrook, Thomas Collett +2

astro-ph.GA2018

Detecting strongly lensed supernovae at z ~ 5-7 with LSST

Claes-Erik Rydberg, Daniel J. Whalen, Matteo Maturi +4

astro-ph.CO2026

Kinematic cosmic dipole from a large sample of strong lenses

Martin Millon, Charles Dalang, Thomas Collett +1

astro-ph.CO2025

Line-of-sight effects on double source plane lenses

Daniel Johnson, Thomas Collett, Tian Li +1