activity
20142026
most citedThe CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations

305 citations · 1.1k across the 49 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

hep-ph2022★ 18 cited

Constraining axion and compact dark matter with interstellar medium heating

Digvijay Wadekar, Zihui Wang

Cold interstellar gas systems have been used to constrain dark matter (DM) models by the condition that the heating rate from DM must be lower than the astrophysical cooling rate o…

astro-ph.CO2022★ 28 cited

The SZ flux-mass (-) relation at low halo masses: improvements with symbolic regression and strong constraints on baryonic feedback

Digvijay Wadekar, Leander Thiele, J. Colin Hill +8

Feedback from active galactic nuclei (AGN) and supernovae can affect measurements of integrated SZ flux of halos () from CMB surveys, and cause its relation with the…

astro-ph.CO2022★ 67 cited

The CAMELS project: public data release

Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar +44

The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological hydrodynami…

astro-ph.CO2022★ 15 cited

Percent-level constraints on baryonic feedback with spectral distortion measurements

Leander Thiele, Digvijay Wadekar, J. Colin Hill +7

High-significance measurements of the monopole thermal Sunyaev-Zel'dovich CMB spectral distortions have the potential to tightly constrain poorly understood baryonic feedback proce…

astro-ph.CO2022★ 28 cited

Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatter

Digvijay Wadekar, Leander Thiele, Francisco Villaescusa-Navarro +7

Complex astrophysical systems often exhibit low-scatter relations between observable properties (e.g., luminosity, velocity dispersion, oscillation period). These scaling relations…