425 citations · 1.7k across the 43 of their papers we have counts for
32 papers · 1 filter
The CAMELS-CROCODILE Simulation Suite: A New Cosmology--Astrophysics Playground for Machine Learning
Kentaro Nagamine, Yuri Oku, Atsushi J. Nishizawa +4
We present CAMELS-CROCODILE, a suite of cosmological hydrodynamic simulations that extends the CAMELS framework with the \gadget{} smoothed particle hydrodynamics code and the Osak…
X-raying CAMELS: Constraining Baryonic Feedback in the Circum-Galactic Medium with the CAMELS simulations and eRASS X-ray Observations
Erwin T. Lau, Daisuke Nagai, Ákos Bogdán +7
The circumgalactic medium (CGM) around massive galaxies plays a crucial role in regulating star formation and feedback. Using the CAMELS simulation suite, we develop emulators for…
Learning the Universe: Cosmological and Astrophysical Parameter Inference with Galaxy Luminosity Functions and Colours
Christopher C. Lovell, Tjitske Starkenburg, Matthew Ho +9
We perform the first direct cosmological and astrophysical parameter inference from the combination of galaxy luminosity functions and colours using a simulation based inference ap…
Bridging Scales: Coupling the galactic nucleus to the larger cosmic environment
Kung-Yi Su, Priyamvada Natarajan, Hyerin Cho +4
Coupling black hole (BH) feeding and feedback involves interactions across vast spatial and temporal scales that is computationally challenging. Tracking gas inflows and outflows f…
How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point Clouds
Tri Nguyen, Francisco Villaescusa-Navarro, Siddharth Mishra-Sharma +16
The connection between galaxies and their host dark matter (DM) halos is critical to our understanding of cosmology, galaxy formation, and DM physics. To maximize the return of upc…
The impact of feedback on the evolution of gas density profiles from galaxies to clusters: a universal fitting formula from the Simba suite of simulations
Daniele Sorini, Sownak Bose, Romeel Davé +1
The radial distribution of gas within galactic haloes is connected to the star formation rate and the nature of baryon-driven feedback processes. Using six variants of the hydrodyn…
Diverse dark matter profiles in FIRE dwarfs: black holes, cosmic rays and the cusp-core enigma
Sophie Koudmani, Douglas Rennehan, Rachel S. Somerville +5
Dwarf galaxies have historically posed challenges to the cold dark matter (CDM) model and, while many of the so-called 'dwarf galaxy problems' have been mitigated by incorporating…
Host-galaxy stars can dominate the ionizing radiation field of the circumgalactic medium in galaxies at Cosmic Noon
Francisco Holguin, Christopher C. Hayward, Xiangcheng Ma +2
Elucidating the processes that shape the circumgalactic medium (CGM) is crucial for understanding galaxy evolution. Absorption and emission diagnostics can be interpreted using pho…
Introducing the DREAMS Project: DaRk mattEr and Astrophysics with Machine learning and Simulations
Jonah C. Rose, Paul Torrey, Francisco Villaescusa-Navarro +27
We introduce the DREAMS project, an innovative approach to understanding the astrophysical implications of alternative dark matter models and their effects on galaxy formation and…
The baryon cycle in modern cosmological hydrodynamical simulations
Ruby J. Wright, Rachel S. Somerville, Claudia del P. Lagos +4
In recent years, cosmological hydrodynamical simulations have proven their utility as key interpretative tools in the study of galaxy formation and evolution. In this work, we pres…
Dense stellar clump formation driven by strong quasar winds in the FIRE cosmological hydrodynamic simulations
Jonathan Mercedes-Feliz, Daniel Anglés-Alcázar, Boon Kiat Oh +9
We investigate the formation of dense stellar clumps in a suite of high-resolution cosmological zoom-in simulations of a massive, star forming galaxy at under the presen…
Effects of multi-channel AGN feedback in FIRE cosmological simulations of massive galaxies
Lindsey Byrne, Claude-André Faucher-Giguère, Sarah Wellons +6
Feedback from supermassive black holes is believed to be a critical driver of the observed color bimodality of galaxies above the Milky Way mass scale. AGN feedback has been modele…
A Hierarchy of Normalizing Flows for Modelling the Galaxy-Halo Relationship
Christopher C. Lovell, Sultan Hassan, Daniel Anglés-Alcázar +8
Using a large sample of galaxies taken from the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project, a suite of hydrodynamic simulations varying both cosm…
The impact of AGN-driven winds on physical and observable galaxy sizes
R. K. Cochrane, D. Anglés-Alcázar, J. Mercedes-Feliz +9
Without AGN feedback, simulated massive, star-forming galaxies become too compact relative to observed galaxies at z<2. In this paper, we perform high-resolution re-simulations of…
158 emission as an indicator of galaxy star formation rate
Lichen Liang, Robert Feldmann, Norman Murray +12
Observations of local star-forming galaxies (SFGs) show a tight correlation between their singly ionized carbon line luminosity () and star formation rate (SFR),…
Local positive feedback in the overall negative: the impact of quasar winds on star formation in the FIRE cosmological simulations
Jonathan Mercedes-Feliz, Daniel Anglés-Alcázar, Christopher C. Hayward +10
Negative feedback from accreting supermassive black holes is regarded as a key ingredient in suppressing star formation and quenching massive galaxies. However, several models and…
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…
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…
Weighing the Milky Way and Andromeda with Artificial Intelligence
Pablo Villanueva-Domingo, Francisco Villaescusa-Navarro, Shy Genel +6
We present new constraints on the masses of the halos hosting the Milky Way and Andromeda galaxies derived using graph neural networks. Our models, trained on thousands of state-of…
Supermassive black holes in cosmological simulations II: the AGN population and predictions for upcoming X-ray missions
Melanie Habouzit, Rachel S. Somerville, Yuan Li +13
In large-scale hydrodynamical cosmological simulations, the fate of massive galaxies is mainly dictated by the modeling of feedback from active galactic nuclei (AGN). The amount of…
From EMBER to FIRE: predicting high resolution baryon fields from dark matter simulations with Deep Learning
Mauro Bernardini, Robert Feldmann, Daniel Anglés-Alcázar +4
Hydrodynamic simulations provide a powerful, but computationally expensive, approach to study the interplay of dark matter and baryons in cosmological structure formation. Here we…
Running Late: Testing Delayed Supermassive Black Hole Growth Models Against the Quasar Luminosity Function
Megan Taylor Tillman, Sarah Wellons, Claude-André Faucher-Giguère +2
Observations of massive galaxies at low redshift have revealed approximately linear scaling relations between the mass of a supermassive black hole (SMBH) and properties of its hos…
The origin of galaxy colour bimodality in the scatter of the Stellar-to-Halo Mass Relation
Weiguang Cui, Romeel Davé, John A. Peacock +2
Recent observations reveal that, at a given stellar mass, blue galaxies tend to live in haloes with lower mass while red galaxies live in more massive host haloes. The physical dri…
IQ Collaboratory III: The Empirical Dust Attenuation Framework -- Taking Hydrodynamical Simulations with a Grain of Dust
ChangHoon Hahn, Tjitske K. Starkenburg, Daniel Anglés-Alcázar +8
We present the Empirical Dust Attenuation (EDA) framework -- a flexible prescription for assigning realistic dust attenuation to simulated galaxies based on their physical properti…