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researcher

S. Dhawan

23 papers hereh-index 481 citations24 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author16
  • last author4

Across the 21 of 23 papers where every author was matched, so the position is known.

fields
  • astro-ph.CO14
  • astro-ph.HE6
  • astro-ph.GA2
  • astro-ph.IM1
same name
  • S. Dhawan — 59 papers, h 27
  • S. Dhawan — 28 papers
  • S. Dhawan — 25 papers, h 37
  • S. Dhawan — 22 papers, h 7
  • S. Dhawan — 18 papers, h 10
  • S. Dhawan — 15 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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
Showing 2023Show all

3 papers · 1 filter

astro-ph.CO2023★ 6 cited

Non-Gaussian Likelihoods for Type Ia Supernovae Cosmology: Implications for Dark Energy and H0​

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 RV​ 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, RV​, must be accurately constrained. We thus develop a comput…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.