activity
20142026
most citedThe Cosmic Baryon Cycle and Galaxy Mass Assembly in the FIRE Simulations

425 citations · 1.7k across the 43 of their papers we have counts for

collaborators
Showing 2022Show all

8 papers · 1 filter

astro-ph.GA2022★ 21 cited

Efficient long-range AGN feedback affects the low redshift Lyman- forest

Megan Taylor Tillman, Blakesley Burkhart, Stephanie Tonnesen +5

Active galactic nuclei (AGN) feedback models are generally calibrated to reproduce galaxy observables such as the stellar mass function and the bimodality in galaxy colors. We use…

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.GA2022

Constraining cosmology with machine learning and galaxy clustering: the CAMELS-SAM suite

Lucia A. Perez, Shy Genel, Francisco Villaescusa-Navarro +5

As the next generation of large galaxy surveys come online, it is becoming increasingly important to develop and understand the machine learning tools that analyze big astronomical…

astro-ph.CO2022★ 33 cited

Breaking baryon-cosmology degeneracy with the electron density power spectrum

Andrina Nicola, Francisco Villaescusa-Navarro, David N. Spergel +8

Uncertain feedback processes in galaxies affect the distribution of matter, currently limiting the power of weak lensing surveys. If we can identify cosmological statistics that ar…

astro-ph.CO2022★ 43 cited

Cosmology with one galaxy?

Francisco Villaescusa-Navarro, Jupiter Ding, Shy Genel +10

Galaxies can be characterized by many internal properties such as stellar mass, gas metallicity, and star-formation rate. We quantify the amount of cosmological and astrophysical i…

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…