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