Publications

Learning the Universe with the 2nd Generation of CAMELS: Varying 35 parameters of the IllustrisTNG model in (50Mpc/h)^3 boxes

Shy Genel, Yongseok Jo, Boon Kiat Oh , and Megan Taylor Tillman, Max E. Lee, Jun-Young Lee, Elena Hernández-Martı́nez, Christopher C. Lovell, Xavier Sims, Blakesley Burkhart, Kentaro Nagamine, Daniel Anglés-Alcázar, Francisco Villaescusa-Navarro

2606.10038
Field-level multi-tracers simulation-based inference of cosmological parameters from 3D maps

Giulio Scelfo, Satvik Mishra, Mauro Rigo, Roberto Trotta, Matteo Viel

2605.26210
BOA Constrictor: A Mamba-based lossless compressor for scientific data

Akshat Gupta, Caterina Doglioni, Thomas J. Elliott

2026MLS&T
Simulation-based inference from the Lyman-alpha forest 1D power spectrum with CAMELS

Francesco Sinigaglia, Patricia Iglesias-Navarro, Matteo Viel

2603.13011
Cosmology with one galaxy: An analytic formula relating Ωm with galaxy properties

Kito Liao, Francisco Villaescusa-Navarro, Romain Teysser, Natalí S. M. de Santi

2602.07651
Assembly bias and local Primordial non-Gaussianity from DESI DR1 Quasars

E. Fondi, L. Verde, E. Chaussidon, J. Aguilar, S. Ahlen, S. BenZvi, D. Bianchi, D. Brooks, T. Claybaugh, A. Cuceu, A. de la Macorra, P. Doel, S. Ferraro, J. E. Forero-Romero, E. Gaztañaga, S. Gontcho A Gontcho, G. Gutierrez, H. K. Herrera-Alcantar, D. Huterer, M. Ishak, R. Joyce, A. Kremin, O. Lahav, C. Lamman, M. Landriau, L. Le Guillou, M. Manera, P. Martini, A. Meisner, R. Miquel, S. Nadathur, N. Palanque-Delabrouille, W. J. Percival, F. Prada, I. Pérez-Ràfols, G. Rossi, L. Samushia, E. Sanchez, D. Schlegel, D. Sprayberry, G. Tarlé, B. A. Weaver, H. Zou

2602.12357
Implications of the nanoHertz Gravitational-Wave Background for Galactic Feedback and Massive Black Hole Growth

Megan Taylor Tillman, Blakesley Burkhart, Chiara M. F. Mingarelli, J. Andrew Casey-Clyde, Lars Hernquist, Sownak Bose, Eniko Regos, César Hernández-Aguayo

2602.15938
Cosmo-FOLD: Fast generation and upscaling of field-level cosmological maps with overlap latent diffusion

Satvik, Mishra; Roberto, Trotta; Matteo, Viel

2601.14377
CAMELS Environments: The Impact of Local Neighbours on Galaxy Evolution across the SIMBA, IllustrisTNG, ASTRID, and Swift-EAGLE Simulations

Xavier, Sims; Daniel, Anglés-Alcázar; Boon-Kiat, Oh; Daisuke, Nagai; Jonathan, Mercedes-Feliz; Isabel, Medlock; Yueying, Ni; Christopher C., Lovell; Francisco, Villaescusa-Navarro

2601.06290
Cosmological back-reaction of baryons on dark matter in the CAMELS simulations

Matthew, Gebhardt; Daniel, Anglés-Alcázar; Shy, Genel; Daisuke, Nagai; Boon Kiat, Oh; Isabel, Medlock; Jonathan, Mercedes-Feliz; Sagan, Sutherland; Max E., Lee; Xavier, Sims; Christopher C., Lovell; David N., Spergel; Romeel, Davé; Matthieu, Schaller; Joop, Schaye; Francisco, Villaescusa-Navarro

2601.06258
A Correlation Between Black Hole Mass and Dark Matter Halo Concentration in Cosmological Simulations

John K. Nino

2512.17964
Intrinsic galaxy alignments in CAMELS simulations and the significant impact of baryon model

Daniel Bilsborrow, Niall Jeffrey

2511.21881
Galaxy Phase-Space and Field-Level Cosmology: The Strength of Semi-Analytic Models

Natalí S. M. de Santi, Francisco Villaescusa-Navarro, Pablo Araya-Araya, Gabriella De Lucia, Fabio Fontanot, Lucia A. Perez, Manuel Arnés-Curto, Violeta Gonzalez-Pérez, Ángel Chandro-Gómez, Rachel S. Somerville, Tiago Castro

2512.10222
A new constraint on the y-distortion with FIRAS: implications for feedback models in galaxy formation and cosmic shear measurements

Giulio Fabbian, Federico Bianchini, Alina Sabyr, J. Colin Hill, Christopher C. Lovell, Leander Thiele, David N. Spergel

2512.03038
Galactification: painting galaxies onto dark matter only simulations using a transformer-based model

Shivam Pandey, Christopher C. Lovell, Chirag Modi, Benjamin D. Wandelt

2511.08438
Hybrid Physical-Neural Simulator for Fast Cosmological Hydrodynamics

Arne Thomsen, Tilman Tröster, Francois Lanusse

2510.26593
jFoF: GPU Cluster Finding with Gradient Propagation

Benjamin Horowitz, Adrian E. Bayer

2510.26851
BaryonBridge: Stochastic Interpolant Model for Fast Hydrodynamical Simulations

Benjamin Horowitz, Carolina Cuesta-Lazaro, Omar Yehia

2510.19224
Leveraging Machine Learning and Hydrodynamic Simulations of Galaxy Formation to Illuminate the Effects of Incident Radiation Fields on Atomic Gas Cooling and Heating Functions

David B. Robinson

PhD Thesis
Exploring the impact of AGN feedback model variations on the Lyman-α Forest Flux Power Spectrum

Megan Pirecki, Megan Taylor Tillman, Blakesley Burkhart, Stephanie Tonnesen, Simeon Bird

2509.18260
One latent to fit them all: a unified representation of baryonic feedback on matter distribution

Shurui Lin, Yin Li, Shy Genel, Francisco Villaescusa-Navarro, Biwei Dai, Wentao Luo, Yang Wang

2509.01881
How does feedback affect the star formation histories of galaxies?

Kartheik G. Iyer, Tjitske K. Starkenburg, Greg L. Bryan, Rachel S. Somerville, Juan Pablo Alfonzo, Daniel Angles-Alcazar, Suchetha Cooray, Romeel Davé, Austen Gabrielpillai, Shy Genel, Sultan Hassan, Lars Hernquist, Christian Kragh Jespersen, Christopher C. Lovell, Boon Kiat Oh, Camilla Pacifici, Lucia A. Perez, Laura Sommovigo, Joshua S. Speagle, Sandro Tacchella, Megan T. Tillman, Francisco Villaescusa-Navarro, John F. Wu

2508.21152
Detecting Model Misspecification in Cosmology with Scale-Dependent Normalizing Flows

Aizhan Akhmetzhanova, Carolina Cuesta-Lazaro, Siddharth Mishra-Sharma

2508.05744
Probabilistic cosmological inference on HI tomographic data

Sambatra Andrianomena

2507.21682
Stellar Mass-Dispersion Measure Correlations Constrain Baryonic Feedback in Fast Radio Burst Host Galaxies

Calvin Leung, Sunil Simha, Isabel Medlock, Daisuke Nagai, Kiyoshi W. Masui, Lordrick A. Kahinga, Adam E. Lanman, Shion Andrew, Kevin Bandura, Alice P. Curtin, B. M. Gaensler, Nina Gusinskaia, Ronniy C. Joseph, Mattias Lazda, Lluis Mas-Ribas, Bradley W. Meyers, Kenzie Nimmo, Aaron B. Pearlman, J. Xavier Prochaska, Mawson W. Sammons, Kaitlyn Shin, Kendrick Smith, Haochen Wang

2507.16816
Reconstruction of Dark Matter and Baryon Density From Galaxies: A Comparison of Linear, Halo Model and Machine Learning-Based Methods

Jordan Krywonos, Yurii Kvasiuk, Matthew C. Johnson, Moritz Munchmeyer

2507.12530
CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning

Ningyuan Huang, Richard Stiskalek, Jun-Young Lee, Adrian E. Bayer, Charles C. Margossian, Christian Kragh Jespersen, Lucia A. Perez, Lawrence K. Saul, Francisco Villaescusa-Navarro

2507.03707
The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference

Nicolas Cerardi, Marguerite Pierre, Francois Lanusse, Xavier Corap

2507.01820
Investigating the Parameters Driving Black Hole-Galaxy Coevolution

Rachel Cleveland

University Scholar Project
syren-baryon: Analytic emulators for the impact of baryons on the matter power spectrum

Lukas Kammerer, Deaglan J. Bartlett, Gabriel Kronberger, Harry Desmond, Pedro G. Ferreira

2506.08783
Multilevel neural simulation-based inference

Yuga Hikida, Ayush Bharti, Niall Jeffrey, François-Xavier Briol

2506.06087
Cosmology with Topological Deep Learning

Jun-Young Lee, Francisco Villaescusa-Navarro

2505.23904
Transfer learning for multifidelity simulation-based inference in cosmology

Alex A. Saoulis, Davide Piras, Niall Jeffrey, Alessio Spurio Mancini, Ana M. G. Ferreira, Benjamin Joachimi

2505.21215
Field-Level Comparison and Robustness Analysis of Cosmological N-body Simulations

Adrian E. Bayer, Francisco Villaescusa-Navarro, Sammy Sharief, Romain Teyssier, Lehman H. Garrison, Laurence Perreault-Levasseur, Greg L. Bryan, Marco Gatti, Eli Visbal

2505.13620
Probing the co-evolution of SMBHs and their hosts from scaling relations pairwise residuals: dominance of stellar velocity dispersion and host halo mass

Francesco Shankar, Mariangela Bernardi, Daniel Roberts, Miguel Arana-Catania, Tobias Grubenmann, Melanie Habouzit, Amy Smith, Christopher Marsden, Karthik Mahesh Varadarajan, Alba Vega Alonso Tetilla, Daniel Angles-Alcazar, Lumen Boco, Duncan Farrah, Hao Fu, Henryk Haniewicz, Andrea Lapi, Christopher C. Lovell, Nicola Menci, Meredith Powell, Federica Ricci

2505.02920
A hydrodynamical simulations-based model that connects the FRB DM–redshift relation to suppression of the matter power spectrum via feedback

Kritti Sharma, Elisabeth Krause, Vikram Ravi, Robert Reischke, Pranjal R. S., Liam Connor

2504.18745
Fast Baryonic Field Painting for Sunyaev-Zel’dovich Analyses: Transfer Function vs. Hybrid Effective Field Theory

R. Henry Liu, Boryana Hadzhiyska, Simone Ferraro, Sownak Bose, Cesar Hernandez-Aguayo

2504.11794
Interpreting Cosmological Information from Neural Networks in the Hydrodynamic Universe

Arnab Lahiry, Adrian E. Bayer, Francisco Villaescusa-Navarro

2504.17839
On the effects of parameters on galaxy properties in CAMELS and the predictability of Omega_m

Gabriella Contardo, Roberto Trotta, Serafina Di Gioia, David W. Hogg, Francisco Villaescusa-Navarro

2503.22654
Local Primordial non-Gaussian Bias from Time Evolution

James M. Sullivan, Uros Seljak

2503.21736
Cosmology with One Galaxy: Auto-Encoding the Galaxy Properties Manifold

Amanda Lue, Shy Genel, Marc Huertas-Company, Francisco Villaescusa-Navarro, Matthew Ho

2502.17568
CASCO: Cosmological and AStrophysical parameters from Cosmological simulations and Observations III. The physics behind the emergence of the golden mass scale

C. Tortora, V. Busillo, N. R. Napolitano, L. V. E. Koopmans, G. Covone, S. Genel, F. Villaescusa-Navarro, M. Silvestrini

2502.13589
Towards Robustness Across Cosmological Simulation Models TNG, SIMBA, ASTRID, and EAGLE

Yongseok Jo, Shy Genel, Anirvan Sengupta, Benjamin Wandelt, Rachel Somerville, Francisco Villaescusa-Navarro

2502.13239
Hydrodynamic methods and sub-resolution models for cosmological simulations

Milena Valentini, Klaus Dolag

2502.06954
Constraining the Effect of Baryonic Feedback on the Matter Power Spectrum with Fast Radio Bursts

Isabel Medlock, Daisuke Nagai, Daniel Angles Alcazar, Matthew Gebhardt

2501.17922
A Neural Network Model for the Cosmic Dispersion Measure in the CAMELS Simulations

Qi Guo, Khee-Gan Lee

2501.16709
Probabilistic Galaxy Field Generation with Diffusion Models

Tanner Sether, Elena Giusarma, Mauricio Reyes-Hurtado

2412.05131
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, Akos Bogdán, Isabel Medlock, Benjamin D. Oppenheimer, Nicholas Battaglia, Daniel Angles-Alcazar, Shy Genel, Yueying Ni, Francisco Villaescusa-Navarro

2412.04559
An analytical model for the dispersion measure of Fast Radio Burst host galaxies

Robert Reischke, Michael Kovac, Andrina Nicola, Steffen Hagstotz, Aurel Schneider

2411.17682
Learning the Universe: Cosmological and Astrophysical Parameter Inference with Galaxy Luminosity Functions and Colours

Christopher C. Lovell, Tjitske Starkenburg, Matthew Ho, Daniel Anglés-Alcázar, Romeel Davé, Austen Gabrielpillai, Kartheik Iyer, Alice E. Matthews, William J. Roper, Rachel Somerville, Laura Sommovigo, Francisco Villaescusa-Navarro

2411.13960
Towards cosmological inference on unlabeled out-of-distribution HI observational data

Sambatra Andrianomena, Sultan Hassan

2411.10515
Learning Optimal and Interpretable Summary Statistics of Galaxy Catalogs with SBI

Kai Lehman, Sven Krippendorf, Jochen Weller, Klaus Dolag

2411.08957
Reconstruction of Continuous Cosmological Fields from Discrete Tracers with Graph Neural Networks

Yurii Kvasiuk, Jordan Krywonos, Matthew C. Johnson, Moritz Münchmeyer

2411.02496
On the Significance of Covariance for Constraining Theoretical Models From Galaxy Observables

Yongseok Jo, Shy Genel, Joel Leja, Benjamin Wandelt

2410.21722
Quantifying Baryonic Feedback on Warm-Hot Circumgalactic Medium in CAMELS Simulations

Isabel Medlock, Chloe Neufeld, Daisuke Nagai, Daniel Angles Alcazar, Shy Genel, Benjamin Oppenheimer, Priyanka Singh, Francisco Villaescusa-Navarro

2410.16361
Cosmological and Astrophysical Parameter Inference from Stacked Galaxy Cluster Profiles Using CAMELS-zoomGZ

Elena Hernández-Martínez, Shy Genel, Francisco Villaescusa-Navarro, Ulrich P. Steinwandel, Max E. Lee, Erwin T. Lau, David N. Spergel

2410.10942
The evolving role of astrophysical modelling in dark matter halo relaxation response

Premvijay Velmani, Aseem Paranjape

2408.04864
Stirring the cosmic pot: how black hole feedback shapes the matter power spectrum in the Fable simulations

Sergio Martin-Alvarez, Vid Iršič, Sophie Koudmani, Martin Bourne, Leah Bigwood, Debora Sijacki

2407.18349
Machine Learning methods for extracting cosmological information

Natali de Santi

PhD thesis
Diffusion-HMC: Parameter Inference with Diffusion Model driven Hamiltonian Monte Carlo

Nayantara Mudur, Carolina Cuesta-Lazaro, Douglas P. Finkbeiner

2405.05255
Cosmology from one galaxy in voids?

Bonny Y. Wang, Alice Pisani

2405.04447
Parameter estimation from Lyα forest in Fourier space using Information Maximising Neural Network

Soumak Maitra, Stefano Cristiani, Matteo Viel, Roberto Trotta, Guido Cupani

2404.04327
Debiasing with Diffusion: Probabilistic reconstruction of Dark Matter fields from galaxies with CAMELS

Victoria Ono, Core Francisco Park, Nayantara Mudur, Yueying Ni, Carolina Cuesta-Lazaro, Francisco Villaescusa-Navarro

2403.10648
Zooming by in the CARPoolGP lane: new CAMELS-TNG simulations of zoomed-in massive halos

Max E. Lee, Shy Genel, Benjamin D. Wandelt, Benjamin Zhang, Ana Maria Delgado, Shivam Pandey, Erwin T. Lau, Christopher Carr, Harrison Cook, Daisuke Nagai, Daniel Angles-Alcazar, Francisco Villaescusa-Navarro, Greg L. Bryan

2403.10609
Galaxy dispersion measured by Fast Radio Bursts as a probe of baryonic feedback models

Alexander Theis, Steffen Hagstotz, Robert Reischke, Jochen Weller

2403.08611
Probing the Circum-Galactic Medium with Fast Radio Bursts: Insights from the CAMELS Simulations

Isabel Medlock, Daisuke Nagai, Priyanka Singh, Benjamin Oppenheimer, Daniel Angles Alcazar, Francisco Villaescusa-Navarro

2403.02313
Cosmological multifield emulator

Sambatra Andrianomena, Sultan Hassan, Francisco Villaescusa-Navarro

2402.10997
A field-level emulator for modeling baryonic effects across hydrodynamic simulations

Divij Sharma, Biwei Dai, Francisco Villaescusa-Navarro, Uros Seljak

2401.15891
Modeling the Kinematics of Central and Satellite Galaxies Using Normalizing Flows

K.J. Kwon, ChangHoon Hahn

2401.12318
Cosmological Field Emulation and Parameter Inference with Diffusion Models

Nayantara Mudur, Carolina Cuesta-Lazaro, Douglas P. Finkbeiner

2312.07534
Towards out-of-distribution generalization in large-scale astronomical surveys: robust networks learn similar representations

Yash Gondhalekar, Sultan Hassan, Naomi Saphra, Sambatra Andrianomena

2311.18007
Learning an Effective Evolution Equation for Particle-Mesh Simulations Across Cosmologies

Nicolas Payot, Pablo Lemos, Laurence Perreault-Levasseur, Carolina Cuesta-Lazaro, Chirag Modi, Yashar Hezaveh

2311.18017
Taming assembly bias for primordial non-Gaussianity

Emanuele Fondi, Licia Verde, Francisco Villaescusa-Navarro, Marco Baldi, William R. Coulton, Gabriel Jung, Dionysios Karagiannis, Michele Liguori, Andrea Ravenni, Benjamin D. Wandelt

2311.10088
Probabilistic reconstruction of Dark Matter fields from biased tracers using diffusion models

Core Francisco Park, Victoria Ono, Nayantara Mudur, Yueying Ni, Carolina Cuesta-Lazaro

2311.08558
Baryonic Imprints on DM Halos: the concentration-mass relation and its dependence on halo and galaxy properties

Mufan Shao, Dhayaa Anbajagane

2311.03491
Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Andrea Roncoli, Aleksandra Ćiprijanović, Maggie Voetberg, Francisco Villaescusa-Navarro, Brian Nord

2311.01588
HIDM: Emulating Large Scale HI Maps using Score-based Diffusion Models

Sultan Hassan, Sambatra Andrianomena

2311.00833
Latent space representations of cosmological fields

Sambatra Andrianomena, Sultan Hassan

2311.00799
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects

Natalí S. M. de Santi, Francisco Villaescusa-Navarro, L. Raul Abramo, Helen Shao, Lucia A. Perez, Tiago Castro, Yueying Ni, Christopher C. Lovell, Elena Hernandez-Martinez, Federico Marinacci, David N. Spergel, Klaus Dolag, Lars Hernquist, Mark Vogelsberger

2310.15234
Cosmology with Galaxy Photometry Alone

ChangHoon Hahn, Francisco Villaescusa-Navarro, Peter Melchior, Romain Teyssier

2310.08634
Exploring chemical enrichment of the intracluster medium with the Line Emission Mapper

François Mernier, Yuanyuan Su, Maxim Markevitch, Congyao Zhang, Aurora Simionescu, Elena Rasia, Sheng-Chieh Lin, Irina Zhuravleva, Arnab Sarkar, Ralph P. Kraft, Anna Ogorzalek, Mohammadreza Ayromlou, William R. Forman, Christine Jones, Joel N. Bregman, Stefano Ettori, Klaus Dolag, Veronica Biffi, Eugene Churazov, Ming Sun, John ZuHone, Ákos Bogdán, Ildar I. Khabibullin, Norbert Werner, Nhut Truong, Priyanka Chakraborty, Stephen A. Walker, Mark Vogelsberger, Annalisa Pillepich, Mohammad S. Mirakhor

2310.04499
Cosmology with multiple galaxies

Chaitanya Chawak, Francisco Villaescusa-Navarro, Nicolas Echeverri Rojas, Yueying Ni, ChangHoon Hahn, Daniel Angles-Alcazar

2309.12048
An Observationally Driven Multifield Approach for Probing the Circum-Galactic Medium with Convolutional Neural Networks

Naomi Gluck, Benjamin D. Oppenheimer, Daisuke Nagai, Francisco Villaescusa-Navarro, Daniel Angles-Alcazar

2309.07912
CASCO: Cosmological and AStrophysical parameters from Cosmological simulations and Observations – I. Constraining physical processes in local star-forming galaxies

Valerio Busillo, Crescenzo Tortora, Nicola R. Napolitano, Leon V. E. Koopmans, Giovanni Covone, Fabrizio Gentile, Leslie K. Hunt

2308.14822
Data Compression and Inference in Cosmology with Self-Supervised Machine Learning

Aizhan Akhmetzhanova, Siddharth Mishra-Sharma, Cora Dvorkin

2308.09751
Learnable wavelet neural networks for cosmological inference

Christian Pedersen, Michael Eickenberg, Shirley Ho

2307.14362
Cosmological baryon spread and impact on matter clustering in CAMELS

Matthew Gebhardt, Daniel Angles-Alcazar, Josh Borrow, Shy Genel, Francisco Villaescusa-Navarro, Yueying Ni, Christopher Lovell, Daisuke Nagai, Romeel Dave, Federico Marinacci, Mark Vogelsberger, Lars Hernquist

2307.11832
A Hierarchy of Normalizing Flows for Modelling the Galaxy-Halo Relationship

Christopher C. Lovell, Sultan Hassan, Daniel Anglés-Alcázar, Greg Bryan, Giulio Fabbian, Shy Genel, ChangHoon Hahn, Kartheik Iyer, James Kwon, Natalí de Santi, Francisco Villaescusa-Navarro

2307.06967
An Exploration of AGN and Stellar Feedback Effects in the Intergalactic Medium via the Low Redshift Lyman-\(\alpha\) Forest

Megan Taylor Tillman, Blakesley Burkhart, Stephanie Tonnesen, Simeon Bird, Greg L. Bryan, Daniel Anglés-Alcázar, Sultan Hassan, Rachel S. Somerville, Romeel Davé, Federico Marinacci, Lars Hernquist, Mark Vogelsberger

2307.06360
Probabilistic matching of real and generated data statistics in generative adversarial networks

Philipp Pilar, Niklas Wahlström

2306.10943
Multi-Epoch Machine Learning 2: Identifying physical drivers of galaxy properties in simulations

Robert McGibbon, Sadegh Khochfar

2306.07728
Forecasting the power of Higher Order Weak Lensing Statistics with automatically differentiable simulations

Denise Lanzieri, François Lanusse, Chirag Modi, Benjamin Horowitz, Joachim Harnois-Déraps, Jean-Luc Starck, The LSST Dark Energy Science Collaboration

2305.07531
Interpreting Sunyaev-Zel’dovich observations with MillenniumTNG: Mass and environment scaling relations

Boryana Hadzhiyska, Simone Ferraro, Rüdiger Pakmor, Sownak Bose, Ana Maria Delgado, César Hernández-Aguayo, Rahul Kannan, Volker Springel, Simon D. M. White, Lars Hernquist

2305.00992
Cosmology with one galaxy? – The ASTRID model and robustness

Nicolas Echeverri, Francisco Villaescusa-Navarro, Chaitanya Chawak, Yueying Ni, ChangHoon Hahn, Elena Hernandez-Martinez, Romain Teyssier, Daniel Angles-Alcazar, Klaus Dolag, Tiago Castro

2304.06084
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, Francisco Villaescusa-Navarro, Yongseok Jo, Simeon Bird, Tiziana Di Matteo, Rupert Croft, Nianyi Chen, Natalí S. M. de Santi, Matthew Gebhardt, Helen Shao, Shivam Pandey, Lars Hernquist, Romeel Dave

2304.02096
Invertible mapping between fields in CAMELS

Sambatra Andrianomena, Sultan Hassan, Francisco Villaescusa-Navarro

2303.07473
A universal equation to predict \(\Omega_{\rm m}\) from halo and galaxy catalogues

Helen Shao, Natali S. M. de Santi, Francisco Villaescusa-Navarro, Romain Teyssier, Yueying Ni, Daniel Angles-Alcazar, Shy Genel, Ulrich P. Steinwandel, Elena Hernandez-Martınez, Klaus Dolag, Christopher C. Lovell, Lehman H. Garrison, Eli Visbal, Mihir Kulkarni, Lars Hernquist, Tiago Castro, Mark Vogelsberger

2302.14591 | video |
Robust field-level likelihood-free inference with galaxies

Natalí S. M. de Santi, Helen Shao, Francisco Villaescusa-Navarro, L. Raul Abramo, Romain Teyssier, Pablo Villanueva-Domingo, Yueying Ni, Daniel Anglés-Alcázar, Shy Genel, Elena Hernandez-Martinez, Ulrich P. Steinwandel, Christopher C. Lovell, Klaus Dolag, Tiago Castro, Mark Vogelsberger

2302.14101 | video |
Topological data analysis reveals differences between simulated galaxies and dark matter haloes

Aaron Ouellette, Gilbert Holder, Ely Kerman

2302.01363
Perturbation-theory informed integrators for cosmological simulations

Florian List, Oliver Hahn

2301.09655
On the choice of the most suitable indicator for the assembly state of dark matter haloes through cosmic time

David Vallés-Pérez, Susana Planelles, Óscar Monllor-Berbegal, Vicent Quilis

2301.02253
Predicting the impact of feedback on matter clustering with machine learning in CAMELS

Ana Maria Delgado, Daniel Angles-Alcazar, Leander Thiele, Michelle Ntampaka, Shivam Pandey, Kai Lehman, Rachel S. Somerville, Shy Genel, Francisco Villaescusa-Navarro

2301.02231
Inferring the impact of feedback on the matter distribution using the Sunyaev Zel’dovich effect: Insights from CAMELS simulations and ACT+DES data

Shivam Pandey, Kai Lehman, Eric J. Baxter, Yueying Ni, Daniel Anglés-Alcázar, Shy Genel, Francisco Villaescusa-Navarro, Ana Maria Delgado, Tiziana di Matteo

2301.02186
Baryonic Imprints on DM Halos: The concentration-mass relation in the CAMELS simulations

Mufan Shao, Dhayaa Anbajagane, Chihway Chang

2212.05964
Calibrating cosmological simulations with implicit likelihood inference using galaxy growth observables

Yongseok Jo, Shy Genel, Benjamin Wandelt, Rachel Somerville, Francisco Villaescusa-Navarro, Greg L. Bryan, Daniel Angles-Alcazar, Daniel Foreman-Mackey, Dylan Nelson, Ji-hoon Kim

2211.16461
X-ray Absorption Lines in the Warm-Hot Intergalactic Medium: Probing Chandra observations with the CAMEL simulations

Amanda Butler Contreras, Erwin T. Lau, Benjamin D. Oppenheimer, Ákos Bogdán, Megan Tillman, Daisuke Nagai, Orsolya E. Kovács, Blakesley Burkhart

2211.15675
HIGlow: Conditional Normalizing Flows for High-Fidelity HI Map Modeling

Roy Friedman, Sultan Hassan

2211.12724
Can denoising diffusion probabilistic models generate realistic astrophysical fields?

Nayantara Mudur, Douglas P. Finkbeiner

2211.12444
Emulating cosmological multifields with generative adversarial networks

Sambatra Andrianomena, Francisco Villaescusa-Navarro, Sultan Hassan

2211.05000
Evidence for efficient long-range AGN jet feedback from the low redshift Lyman-α forest

Megan Taylor Tillman, Blakesley Burkhart, Stephanie Tonnesen, Simeon Bird, Greg L. Bryan, Daniel Angles-Alcazar, Romeel Dave, Shy Genel

2210.02467
Robust field-level inference with dark matter halos

Helen Shao, Francisco Villaescusa-Navarro, Pablo Villanueva-Domingo, Romain Teyssier, Lehman H. Garrison, Marco Gatti, Derek Inman, Yueying Ni, Ulrich P. Steinwandel, Mihir Kulkarni, Eli Visbal, Greg L. Bryan, Daniel Angles-Alcazar, Tiago Castro, Elena Hernandez-Martinez, Klaus Dolag

2209.06843 | video |
The SZ flux-mass (Y-M) relation at low halo masses: improvements with symbolic regression and strong constraints on baryonic feedback

Digvijay Wadekar, Leander Thiele, J. Colin Hill, Shivam Pandey, Francisco Villaescusa-Navarro, David N. Spergel, Miles Cranmer, Daisuke Nagai, Daniel Anglés-Alcázar, Shirley Ho, Lars Hernquist

2209.02075 | video |
Studying the Warm Hot Intergalactic Medium in emission: a reprise

Gabriele Parimbelli, Enzo Branchini, Matteo Viel, Francisco Villaescusa-Navarro, John ZuHone

2209.00657
Predictive uncertainty on improved astrophysics recovery from multifield cosmology

Sambatra Andrianomena, Sultan Hassan

2208.08927
Hybrid Physical-Neural ODEs for Fast N-body Simulations

Denise Lanzieri, François Lanusse, Jean-Luc Starck

2207.05509
The halo finding problem revisited: a deep revision of the ASOHF code

David Valles-Perez, Susana Planelles, Vicent Quilis

2205.02245
Learning cosmology and clustering with cosmic graphs

Pablo Villanueva-Domingo, Francisco Villaescusa-Navarro

2204.13713
Constraining cosmology with machine learning and galaxy clustering: the CAMELS-SAM suite

Lucia A. Perez, Shy Genel, Francisco Villaescusa-Navarro, Rachel S. Somerville, Austen Gabrielpillai, Daniel Anglés-Alcázar, Benjamin D. Wandelt, L.Y. Aaron Yung

| 2204.02408 | video |
Breaking baryon-cosmology degeneracy with the electron density power spectrum

Andrina Nicola, Francisco Villaescusa-Navarro, David N. Spergel, Jo Dunkley, Daniel Anglés-Alcázar, Romeel Davé, Shy Genel, Lars Hernquist, Daisuke Nagai, Rachel S. Somerville, Benjamin D. Wandelt

| 2201.04142 | video |
The Circumgalactic Medium from the CAMELS Simulations: Forecasting Constraints on Feedback Processes from Future Sunyaev-Zeldovich Observations

Emily Moser, Nicholas Battaglia, Daisuke Nagai, Erwin Lau, Luis Fernando Machado Poletti Valle, Francisco Villaescusa-Navarro, Stefania Amodeo, Daniel Angles-Alcazar, Greg L. Bryan, Romeel Dave, Lars Hernquist, Mark Vogelsberger

| 2201.02708 | blog |
Cosmology with one galaxy?

Francisco Villaescusa-Navarro, Jupiter Ding, Shy Genel, Stephanie Tonnesen, Valentina La Torre, David N. Spergel, Romain Teyssier, Yin Li, Caroline Heneka, Pablo Lemos, Daniel Anglés-Alcázar, Daisuke Nagai, Mark Vogelsberger

| 2201.02202 | video | Quanta Magazine article | New Yorker article |
The CAMELS project: public data release

Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lucia A. Perez, Pablo Villanueva-Domingo, Digvijay Wadekar, Helen Shao, Faizan G. Mohammad, Sultan Hassan, Emily Moser, Erwin T. Lau, Luis Fernando Machado Poletti Valle, Andrina Nicola, Leander Thiele, Yongseok Jo, Oliver H. E. Philcox, Benjamin D. Oppenheimer, Megan Tillman, ChangHoon Hahn, Neerav Kaushal, Alice Pisani, Matthew Gebhardt, Ana Maria Delgado, Joyce Caliendo, Christina Kreisch, Kaze W.K. Wong, William R. Coulton, Michael Eickenberg, Gabriele Parimbelli, Yueying Ni, Ulrich P. Steinwandel, Valentina La Torre, Romeel Dave, Nicholas Battaglia, Daisuke Nagai, David N. Spergel, Lars Hernquist, Blakesley Burkhart, Desika Narayanan, Benjamin Wandelt, Rachel S. Somerville, Greg L. Bryan, Matteo Viel, Yin Li, Vid Irsic, Katarina Kraljic, Mark Vogelsberger

| 2201.01300 | video | press release |
Augmenting astrophysical scaling relations with machine learning : application to reducing the SZ flux-mass scatter

Digvijay Wadekar, Leander Thiele, Francisco Villaescusa-Navarro, J. Colin Hill, David N. Spergel, Miles Cranmer, Nicholas Battaglia, Daniel Anglés-Alcázar, Lars Hernquist, Shirley Ho

| 2201.01305 | video | press release 1 | press release 2 |
Percent-level constraints on baryonic feedback with spectral distortion measurements

Leander Thiele, Digvijay Wadekar, J. Colin Hill, Nicholas Battaglia, Jens Chluba, Francisco Villaescusa-Navarro, Lars Hernquist, Mark Vogelsberger, Daniel Anglés-Alcázar, Federico Marinacci

| 2201.01663 | video | blog |
Weighing the Milky Way and Andromeda with Artificial Intelligence

Pablo Villanueva-Domingo, Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lars Hernquist, Federico Marinacci, David N. Spergel, Mark Vogelsberger, Desika Narayanan

| 2111.14874 | video (26’-56’) |
Inferring halo masses with Graph Neural Networks

Pablo Villanueva-Domingo, Francisco Villaescusa-Navarro, Daniel Anglés-Alcázar, Shy Genel, Federico Marinacci, David N. Spergel, Lars Hernquist, Mark Vogelsberger, Romeel Dave, Desika Narayanan

| 2111.08683 | video (26’-51’) |
HIFlow: Generating Diverse HI Maps Conditioned on Cosmology using Normalizing Flow

Sultan Hassan, Francisco Villaescusa-Navarro, Benjamin Wandelt, David N. Spergel, Daniel Anglés-Alcázar, Shy Genel, Miles Cranmer, Greg L. Bryan, Romeel Davé, Rachel S. Somerville, Michael Eickenberg, Desika Narayanan, Shirley Ho, Sambatra Andrianomena

| 2110.02983 | video |
The CAMELS Multifield Dataset: Learning the Universe’s Fundamental Parameters with Artificial Intelligence

Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, Leander Thiele, Romeel Dave, Desika Narayanan, Andrina Nicola, Yin Li, Pablo Villanueva-Domingo, Benjamin Wandelt, David N. Spergel, Rachel S. Somerville, Jose Manuel Zorrilla Matilla, Faizan G. Mohammad, Sultan Hassan, Helen Shao, Digvijay Wadekar, Michael Eickenberg, Kaze W.K. Wong, Gabriella Contardo, Yongseok Jo, Emily Moser, Erwin T. Lau, Luis Fernando Machado Poletti Valle, Lucia A. Perez, Daisuke Nagai, Nicholas Battaglia, Mark Vogelsberger

| 2109.10915 | website |
Robust marginalization of baryonic effects for cosmological inference at the field level

Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, David N. Spergel, Yin Li, Benjamin Wandelt, Leander Thiele, Andrina Nicola, Jose Manuel Zorrilla Matilla, Helen Shao, Sultan Hassan, Desika Narayanan, Romeel Dave, Mark Vogelsberger

| 2109.10360 | astrobites |
Multifield Cosmology with Artificial Intelligence

Francisco Villaescusa-Navarro, Daniel Anglés-Alcázar, Shy Genel, David N. Spergel, Yin Li, Benjamin Wandelt, Andrina Nicola, Leander Thiele, Sultan Hassan, Jose Manuel Zorrilla Matilla, Desika Narayanan, Romeel Dave, Mark Vogelsberger

| 2109.09747 | video (17’-38’) |
Inpainting hydrodynamical maps with deep learning

Faizan G. Mohammad, Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, Mark Vogelsberger

2109.07070
Finding universal relations in subhalo properties with artificial intelligence

Helen Shao, Francisco Villaescusa-Navarro, Shy Genel, David N. Spergel, Daniel Angles-Alcazar, Lars Hernquist, Romeel Dave, Desika Narayanan, Gabriella Contardo, Mark Vogelsberger

| 2109.04484 | video | blog |
Neural networks as optimal estimators to marginalize over baryonic effects

Francisco Villaescusa-Navarro, Benjamin D. Wandelt, Daniel Anglés-Alcázar, Shy Genel, Jose Manuel Zorrilla Mantilla, Shirley Ho, David N. Spergel

2011.05992
The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations

Francisco Villaescusa-Navarro, Daniel Anglés-Alcázar, Shy Genel, David N. Spergel, Rachel S. Somerville, Romeel Dave, Annalisa Pillepich, Lars Hernquist, Dylan Nelson, Paul Torrey, Desika Narayanan, Yin Li, Oliver Philcox, Valentina La Torre, Ana Maria Delgado, Shirley Ho, Sultan Hassan, Blakesley Burkhart, Digvijay Wadekar, Nicholas Battaglia, Gabriella Contardo

| 2010.00619 | video (0’-13’) | podcast (in Italian) | blog | press release |