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Constraining Baryonic Feedback Effects on the Matter Power Spectrum with Fast Radio Bursts
Isabel Medlock, Daisuke Nagai, Daniel Anglés Alcázar +1
In the age of large-scale galaxy and lensing surveys, such as DESI, Euclid, Roman and Rubin, we stand poised to usher in a transformative new phase of data-driven cosmology. To ful…
Cosmology with multiple galaxies
Chaitanya Chawak, Francisco Villaescusa-Navarro, Nicolas Echeverri Rojas +3
Recent works have discovered a relatively tight correlation between and properties of individual simulated galaxies. Because of this, it has been shown that constraints…
Inferring Warm Dark Matter Masses with Deep Learning
Jonah C. Rose, Paul Torrey, Francisco Villaescusa-Navarro +6
We present a new suite of over 1,500 cosmological N-body simulations with varied Warm Dark Matter (WDM) models ranging from 2.5 to 30 keV. We use these simulations to train Convolu…
Cosmology with one galaxy? -- The ASTRID model and robustness
Nicolas Echeverri, Francisco Villaescusa-Navarro, Chaitanya Chawak +7
Recent work has pointed out the potential existence of a tight relation between the cosmological parameter , at fixed , and the properties of individual galax…
The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter TNG and SIMBA suites
Yueying Ni, Shy Genel, Daniel Anglés-Alcázar +12
We present CAMELS-ASTRID, the third suite of hydrodynamical simulations in the Cosmology and Astrophysics with MachinE Learning (CAMELS) project, along with new simulation sets tha…
A universal equation to predict from halo and galaxy catalogues
Helen Shao, Natalí S. M de Santi, Francisco Villaescusa-Navarro +13
We discover analytic equations that can infer the value of from the positions and velocity moduli of halo and galaxy catalogues. The equations are derived by combining…
Calibrating cosmological simulations with implicit likelihood inference using galaxy growth observables
Yongseok Jo, Shy Genel, Benjamin Wandelt +7
In a novel approach employing implicit likelihood inference (ILI), also known as likelihood-free inference, we calibrate the parameters of cosmological hydrodynamic simulations aga…
Robust field-level inference with dark matter halos
Helen Shao, Francisco Villaescusa-Navarro, Pablo Villanueva-Domingo +13
We train graph neural networks on halo catalogues from Gadget N-body simulations to perform field-level likelihood-free inference of cosmological parameters. The catalogues contain…
Co-evolution of massive black holes and their host galaxies at high redshift: discrepancies from six cosmological simulations and the key role of JWST
Melanie Habouzit, Masafusa Onoue, Eduardo Banados +7
The James Webb Space Telescope will have the power to characterize high-redshift quasars at z>6 with an unprecedented depth and spatial resolution. While the brightest quasars at s…
The Circumgalactic Medium from the CAMELS Simulations: Forecasting Constraints on Feedback Processes from Future Sunyaev-Zeldovich Observations
Emily Moser, Nicholas Battaglia, Daisuke Nagai +9
The cycle of baryons through the circumgalactic medium (CGM) is important to understand in the context of galaxy formation and evolution. In this study we forecast constraints on t…
Inferring halo masses with Graph Neural Networks
Pablo Villanueva-Domingo, Francisco Villaescusa-Navarro, Daniel Anglés-Alcázar +7
Understanding the halo-galaxy connection is fundamental in order to improve our knowledge on the nature and properties of dark matter. In this work we build a model that infers the…
Robust marginalization of baryonic effects for cosmological inference at the field level
Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar +11
We train neural networks to perform likelihood-free inference from 2D maps containing the total mass surface density from thousands of hydrodynamic simula…
Inpainting hydrodynamical maps with deep learning
Faizan G. Mohammad, Francisco Villaescusa-Navarro, Shy Genel +2
From 1,000 hydrodynamic simulations of the CAMELS project, each with a different value of the cosmological and astrophysical parameters, we generate 15,000 gas temperature maps. We…
Finding universal relations in subhalo properties with artificial intelligence
Helen Shao, Francisco Villaescusa-Navarro, Shy Genel +7
We use a generic formalism designed to search for relations in high-dimensional spaces to determine if the total mass of a subhalo can be predicted from other internal properties s…
Reionization with Simba: How much does astrophysics matter in modeling cosmic reionization?
Sultan Hassan, Romeel Davé, Matthew McQuinn +5
Traditional large-scale models of reionization usually employ simple deterministic relations between halo mass and luminosity to predict how reionization proceeds. We here examine…
Neural networks as optimal estimators to marginalize over baryonic effects
Francisco Villaescusa-Navarro, Benjamin D. Wandelt, Daniel Anglés-Alcázar +4
Many different studies have shown that a wealth of cosmological information resides on small, non-linear scales. Unfortunately, there are two challenges to overcome to utilize that…
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…
Torque-Limited Growth of Massive Black Holes in Galaxies Across Cosmic Time
Daniel Anglés-Alcázar, Feryal Özel, Romeel Davé +3
We combine cosmological hydrodynamic simulations with analytic models to evaluate the role of galaxy-scale gravitational torques on the evolution of massive black holes at the cent…
Cosmological Zoom Simulations of z = 2 Galaxies: The Impact of Galactic Outflows
Daniel Anglés-Alcázar, Romeel Davé, Feryal Özel +1
We use high-resolution cosmological zoom simulations with ~200 pc resolution at z = 2 and various prescriptions for galactic outflows in order to explore the impact of winds on the…
Black Hole-Galaxy Correlations without Self-Regulation
Daniel Anglés-Alcázar, Feryal Özel, Romeel Davé
Recent models of black hole growth in a cosmological context have forwarded a paradigm in which the growth is self-regulated by feedback from the black hole itself. Here we use cos…