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20212026
most citedSICRET: Supernova Ia Cosmology with truncated marginal neural Ratio EsTimation

32 citations · 120 across the 11 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

astro-ph.IM2022★ 3 cited

Analytic auto-differentiable CDM cosmography

Konstantin Karchev

I present general analytic expressions for distance calculations (comoving distance, time coordinate, and absorption distance) in the standard CDM cosmology, allowing for the pr…

astro-ph.IM2022★ 6 cited

Strong-Lensing Source Reconstruction with Denoising Diffusion Restoration Models

Konstantin Karchev, Noemi Anau Montel, Adam Coogan +1

Analysis of galaxy--galaxy strong lensing systems is strongly dependent on any prior assumptions made about the appearance of the source. Here we present a method of imposing a dat…

astro-ph.CO2022★ 19 cited

One never walks alone: the effect of the perturber population on subhalo measurements in strong gravitational lenses

Adam Coogan, Noemi Anau Montel, Konstantin Karchev +3

Analyses of extended arcs in strong gravitational lensing images to date have constrained the properties of dark matter by measuring the parameters of one or two individual subhalo…

astro-ph.CO2022★ 32 cited

SICRET: Supernova Ia Cosmology with truncated marginal neural Ratio EsTimation

Konstantin Karchev, Roberto Trotta, Christoph Weniger

Type Ia supernovae (SNae Ia), standardisable candles that allow tracing the expansion history of the Universe, are instrumental in constraining cosmological parameters, particularl…

astro-ph.CO2022★ 31 cited

Estimating the warm dark matter mass from strong lensing images with truncated marginal neural ratio estimation

Noemi Anau Montel, Adam Coogan, Camila Correa +2

Precision analysis of galaxy-galaxy strong gravitational lensing images provides a unique way of characterizing small-scale dark matter halos, and could allow us to uncover the fun…