activity
20232026
most citedInferring dark energy properties from the scale factor parametrisation

13 citations · 51 across the 23 of their papers we have counts for

collaborators

23 papers

astro-ph.CO2026

Stress-testing the spatially flat Universe: nonparametric spatial curvature determination from DESI DR2

Hannah C. Turner, Suhail Dhawan, Sunny Vagnozzi +2

We present a nonparametric determination of spatial curvature using only late-time geometrical probes. Under a Gaussian Process smoothness prior, we jointly constrain the dimension…

astro-ph.CO2026

Follow-up of SN 2025wny V: Lens Modelling and Cosmography of a Strongly Lensed Superluminous Supernova at using Space Data

Edvard Mörtsell, Joel Johansson, Ariel Goobar +12

We present a lensing and cosmographic analysis of the strongly lensed Type I superluminous supernova SN 2025wny at redshift , multiply imaged by two foreground galaxies at…

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

Follow-up of SN 2025wny III: Spectroscopic Time-delay Measurements of a Strongly Gravitationally Lensed Superluminous Supernova

Joel Johansson, Edvard Mörtsell, Ariel Goobar +30

We present spatially resolved spectra and infer the time-delays between the multiple images of the strongly gravitationally lensed superluminous supernova (SLSN) 2025wny at z=2.015…

astro-ph.CO2026

Follow-up of SN 2025wny II: Superluminous Supernova Physics at Cosmic Noon

Maggie L. Li, Lin Yan, Anamaria Gkini +46

SN 2025wny is a gravitationally lensed, hydrogen-poor superluminous supernova (SLSN-I) at z = 2.015. To date, it is the most extensively observed high-redshift core-collapse SN and…

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.HE2026

A spectroscopically confirmed, strongly lensed, metal-poor Type II supernova at z = 5.13

David A. Coulter, Conor Larison, Justin D. R. Pierel +88

Observing supernovae (SNe) in the early Universe (z > 3) provides a window into how both galaxies and individual stars have evolved over cosmic time, yet a detailed study of high-r…

astro-ph.CO2025

Exploring the Impact of Systematic Bias in Type Ia Supernova Cosmology Across Diverse Dark Energy Parametrizations

Drishti Sharma, Purba Mukherjee, Anjan A Sen +1

We investigate the impact of instrumental and astrophysical systematics on dark energy (DE) constraints from Type Ia supernova (SN-Ia) observations. Using simulated datasets consis…

astro-ph.CO2025★ 3 cited

Cosmology with supernova Encore in the strong lensing cluster MACS J0138-2155: Time delays & Hubble constant measurement

J. D. R. Pierel, E. E. Hayes, M. Millon +26

Multiply-imaged supernovae (SNe) provide a novel means of constraining the Hubble constant (). Such measurements require a combination of precise models of the lensing mass di…

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

The impact of ultraviolet suppression on the rates and properties of strongly lensed Type IIn supernovae detected by LSST

Andrés I. Ponte Pérez, Graham P. Smith, Matt Nicholl +4

Upcoming wide-field time-domain surveys, such as the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) are expected to discover up to two orders of magnitude more…

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.HE2024

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…

astro-ph.CO2024

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…

astro-ph.CO2024★ 7 cited

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…

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.CO2024★ 13 cited

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…

astro-ph.HE2024

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…

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★ 6 cited

Non-Gaussian Likelihoods for Type Ia Supernovae Cosmology: Implications for Dark Energy and

Toby Lovick, Suhail Dhawan, Will Handley

The latest improvements in the scale and calibration of Type Ia supernovae catalogues allow us to constrain the specific nature and evolution of dark energy through its effect on t…

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…

astro-ph.GA2023

Bird-Snack: Bayesian Inference of dust law Distributions using SN Ia Apparent Colours at peaK

Sam M. Ward, Suhail Dhawan, Kaisey S. Mandel +2

To reduce systematic uncertainties in Type Ia supernova (SN Ia) cosmology, the host galaxy dust law shape parameter, , must be accurately constrained. We thus develop a comput…