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

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14 papers · 1 filter

astro-ph.CO2026

Using the Circumgalactic Medium of Dwarf Galaxies as a Calorimetric Dark Matter Detector

Abby Mintz, Digvijay Wadekar, Romain Teyssier

Many well-motivated dark matter (DM) scenarios, including dark photon DM, axion-like particles, sterile neutrinos, and primordial black holes, can deposit energy into ordinary matt…

astro-ph.CO2026

The diffraction-lensing interpretation of GW231123 with astrophysical priors

Mark Ho-Yeuk Cheung, Digvijay Wadekar, Matias Zaldarriaga +3

GW231123, if unlensed, is a rare binary black hole merger with high masses and high spins for both progenitors. We show that the signal is better fitted by a lower-mass, lower-spin…

astro-ph.CO2026

HI Simulations for Cosmology with the SKA Observatory

Tommaso Ronconi, Gabriella De Lucia, Marta Spinelli +15

We present a comparative overview of state-of-the-art methods for modelling the distribution of neutral hydrogen (HI) in the post-reionization Universe, developed in preparation fo…

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…

astro-ph.CO2021★ 5 cited

Modeling the galaxy-halo connection with machine learning

Ana Maria Delgado, Digvijay Wadekar, Boryana Hadzhiyska +3

To extract information from the clustering of galaxies on non-linear scales, we need to model the connection between galaxies and halos accurately and in a flexible manner. Standar…

astro-ph.CO2020★ 15 cited

Modeling assembly bias with machine learning and symbolic regression

Digvijay Wadekar, Francisco Villaescusa-Navarro, Shirley Ho +1

Upcoming 21cm surveys will map the spatial distribution of cosmic neutral hydrogen (HI) over unprecedented volumes. Mock catalogues are needed to fully exploit the potential of the…

astro-ph.CO2020★ 305 cited

The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations

Francisco Villaescusa-Navarro, Daniel Anglés-Alcázar, Shy Genel +19

We present the Cosmology and Astrophysics with MachinE Learning Simulations --CAMELS-- project. CAMELS is a suite of 4,233 cosmological simulations of volu…

astro-ph.CO2020★ 107 cited

Cosmological constraints from BOSS with analytic covariance matrices

Digvijay Wadekar, Mikhail M. Ivanov, Roman Scoccimarro

We use analytic covariance matrices to carry out a full-shape analysis of the galaxy power spectrum multipoles from the Baryon Oscillation Spectroscopic Survey (BOSS). We obtain pa…

astro-ph.CO2020★ 25 cited

HInet: Generating neutral hydrogen from dark matter with neural networks

Digvijay Wadekar, Francisco Villaescusa-Navarro, Shirley Ho +1

Upcoming 21cm surveys will map the spatial distribution of cosmic neutral hydrogen (HI) over very large cosmological volumes. In order to maximize the scientific return of these su…

astro-ph.CO2019★ 115 cited

Galaxy Power Spectrum Multipoles Covariance in Perturbation Theory

Digvijay Wadekar, Roman Scoccimarro

We compute the covariance of the galaxy power spectrum multipoles in perturbation theory, including the effects of nonlinear evolution, nonlinear and nonlocal bias, radial redshift…

astro-ph.CO2014★ 2 cited

Zeldovich pancakes at redshift zero: the equilibration state and phase space properties

Digvijay Wadekar, Steen H. Hansen

One of the components of the cosmic web are sheets, which are commonly referred to as Zeldovich pancakes. These are structures which have only collapsed along one dimension, as opp…