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20142023
most citedDirect Detection of Hawking Radiation from Asteroid-Mass Primordial Black Holes

146 citations · 821 across the 25 of their papers we have counts for

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Showing astro-ph.COShow all

6 papers · 1 filter

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★ 50 cited

Measuring dark matter spikes around primordial black holes with Einstein Telescope and Cosmic Explorer

Philippa S. Cole, Adam Coogan, Bradley J. Kavanagh +1

Future ground-based gravitational wave observatories will be ideal probes of the environments surrounding black holes with masses . Binary black hole merg…

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…

astro-ph.CO2020★ 11 cited

Targeted Likelihood-Free Inference of Dark Matter Substructure in Strongly-Lensed Galaxies

Adam Coogan, Konstantin Karchev, Christoph Weniger

The analysis of optical images of galaxy-galaxy strong gravitational lensing systems can provide important information about the distribution of dark matter at small scales. Howeve…

astro-ph.CO2020★ 146 cited

Direct Detection of Hawking Radiation from Asteroid-Mass Primordial Black Holes

Adam Coogan, Logan Morrison, Stefano Profumo

Light, asteroid-mass primordial black holes, with lifetimes in the range between hundreds to several millions times the age of the universe, are well-motivated candidates for the c…

astro-ph.CO2019★ 36 cited

Differentiable Strong Lensing: Uniting Gravity and Neural Nets through Differentiable Probabilistic Programming

Marco Chianese, Adam Coogan, Paul Hofma +2

Since upcoming telescopes will observe thousands of strong lensing systems, creating fully-automated analysis pipelines for these images becomes increasingly important. In this wor…