13 citations · 51 across the 23 of their papers we have counts for
7 papers · 1 filter
Deep drilling in the time domain with DECam II: characterizing the light curves of candidates in the extragalactic fields
Melissa L. Graham, Midori Rollins, Robert A. Knop +6
In this second paper on the DECam deep drilling field (DDF) program we release 2,020 optical gri-band light curves for transients and variables in the extragalactic COSMOS and ELAI…
Constrain Spatial Curvature and Dark Energy with Strong Lenses and Complementary Probes: a Forecast for Next-Generation Surveys
Yang Hu, Suhail Dhawan
Inferring spatial curvature of the Universe with high-fidelity is a longstanding interest in cosmology. However, the strong degeneracy between dark energy equation-of-state paramet…
The axis of systematic bias in SN~Ia cosmology and implications for DESI 2024 results
Suhail Dhawan, Brodie Popovic, Ariel Goobar
Relative distances between a high-redshift sample of Type Ia supernovae (SNe~Ia), anchored to a low-redshift sample, have been instrumental in drawing insights on the nature of the…
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…
Inferring dark energy properties from the scale factor parametrisation
Upala Mukhopadhyay, Sandeep Haridasu, Anjan A Sen +1
We propose and implement a novel test to assess deviations from well-established concordance CDM cosmology while inferring dark energy properties. In contrast to the commonly im…
Searching for Bumps in the Cosmological Road: Do Type Ia Supernovae with Early Excesses Have Biased Hubble Residuals?
Christine Ye, David O. Jones, Willem B. Hoogendam +3
Flux excesses in the early time light curves of Type Ia supernovae (SNe\,Ia) are predicted by multiple theoretical models and have been observed in a number of nearby SNe\,Ia over…
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…