CURRICULUM VITAE
July 6, 2023

Personal Data
Name:Francisco Villaescusa-Navarro

Title:

Ph.D. in physics

Nationality:

SpanishEmployment:

Research Scientist

Work address:

Simons Foundation, 160 5th Avenue, New York, NY, 10010, USA

Email:Web Page:
Phone:

fvillaescusa@flatironinstitute.org
https://franciscovillaescusa.github.io[+1] 718-414-7853

Education
Ph.D.

Physics

07/2008 - 05/2012

Valencia University, Spain

M.Sc.

Physics

09/2007 - 07/2008

Valencia University, Spain

B.Sc.

Physics

09/2002 - 07/2007

Valencia University, Spain
Granted with Excellent prize

Academic and Professional Positions
Research Scientist

Simons Foundation, New York, USA

09/2021 - present

Visiting Research Scholar

Princeton University, Princeton, USA

10/2021 - present

Associate Research Scholar

Princeton University, Princeton, USA

09/2019 - 09/2021

Flatiron Research Fellow

CCA, Flatiron Institute, New York, USA

09/2016 - 09/2019

CosmoIGM Postdoctoral Fellow

INAF/INFN, Trieste, Italy

07/2012 - 08/2016

JAE Predoctoral Fellow

IFIC/Valencia University, Spain

01/2008 - 06/2012

Visiting graduate student

ITC, Harvard University, USA

07/2010 - 08/2011

Visiting graduate student

CITA, Toronto, Canada

09/2009 - 12/2009

Undergraduate research fellow

IFIC/Valencia University, Spain

09/2007 - 12/2007

Undergraduate research fellow

Valencia University, Spain

01/2007 - 06/2007

Undergraduate summer fellow

Institut fur Kernphysik, Mainz, Germany

08/2006 - 09/2006

Major Fields of Research
I am a computational cosmologist working on developing the theoretical framework needed to answer fundamental
questions through data from cosmological surveys in the most precise way.
Machine Learning

Massive neutrinos cosmology

21cm cosmology

Numerical simulations

Large-scale structure

Information content

Galaxy clusters

Cosmic voids

Baryonic acoustic oscillations Redshift-space distortions

Analytics methods

Modified Gravity

Lyα-forest

Dark matter

Software development

Galaxy formation and evolution

Professional activities

Referee

Reviewer

EditorMonthly Notices of the Royal Astronomical Society
Physical Review D
Physical Review Letters
Journal of Cosmology and Astroparticle Physics
The Astrophysical Journal
Revista Metode
The American Astronomical Society Journal
NaturePhysical Review E
European Physical Journal C
Publications of the Astronomical Society of Japan
Nature Artificial Intelligence
Nature Astronomy
Physics of the Dark Universe
Machine Learning: Science and Technology
Journal of the Franklin Institute
RAS Techniques and Instruments

20122013201520152015201620162017201920202020202120212021202220222022-

DIRAC High Performance Computing (UK)
National Science Centre (Poland)
Dutch Research Council (Netherlands)
Science and Technology Facilities Council (UK)German Academic Exchange Service (DAAD) (Germany)
National Program Office (Canada)

201820182019202020212022-

Universe

2020-

Organization of Scientific meetings
Building a Physical Understanding of Galaxy
Evolution with Data-driven Astronomy
Machine learning for astrophysics workshop

KITP, Santa Barbara, USA

Jan. 17 - Mar. 24, 2023

ICML 2022, Baltimore

July 22 2022

Intensity mapping workshop

CCA, NY, USA

Feb. 20 - 22, 2018

CCA cosmology group meeting

CCA, NY, USA

Jul. 2017 - Jul. 2018

The non-linear Universe workshop

Smartno, Slovenia

Jul. 16 - 22, 2017

Workshop on neutrino physics

CCA, NY, USA

Apr. 6, 2017

Cosmology with 21cm workshop

CCA, NY, USA

Dec. 20, 2016

Teaching experience
Lectures on numerical cosmology
Lectures on Machine learning
Lectures on Machine Learning

Trieste Observatory, Italy
IRFU, Trieste, Italy
Vatican Observatory, Vatican

February 2015
March-April 2021
June 2023

Scientific collaborations
CAMELS
EuclidPFSSMAUG*SKA

WFIRST

Cosmology and Astrophysics with Machine Learning Simulations
OU-LE3 validation & verification
Cosmological simulations
Machine Learning for CosmoSims
Cosmology working group
Cosmological probes working group
Cosmological simulations working group
21cm intensity mapping working group
HI galaxy surveys working group
Synergies working group
Cosmology with SKA1-LOW working group
Science working groupcore teammembermemberco-leader
memberco-leaderco-leader
membermembermembermembermember*https://www.simonsfoundation.org/flatiron/center-for-computational-astrophysics/smaug

Software & simulations
I am the author of the following software and simulations:Pylians

HADES

QuijoteCAMELS

Python libraries designed to efficiently analyze the output of numericalsimulations. Written in Python/Cython/C and publicly available.
https://github.com/franciscovillaescusa/Pylians3
Set of more than 1,000 state-of-the-art N-body and hydrodynamic simulations withmassive and massless neutrinos. 6 million CPU hours. More than 200 Tb of data.
Publicly available.
https://franciscovillaescusa.github.io/hades.html
Suite of 44,100 N-body simulations designed to quantify the information content
on cosmological observables and to provide enough data to train machine learning algorithms.
The largest set of N-body simulations to-date. Trillions of particles, billions of halos, billions of voids,
millions of summary statistics. 35 Million CPU hours. 1 Petabyte of data.
Publicly available.
https://github.com/franciscovillaescusa/Quijote-simulations
Suite of more than 4,000 N-body and hydrodynamic simulations designed to
study cosmology and astrophysics using machine learning tools.
About 10 Million CPU hours. 250 Terabytes of data.
In collaboration with Daniel Angles-Alcazar and Shy Genel.
http://camel-simulations.org/

Student supervision
Elena Massara
Isabella Carucci

Graduate student(w/ Prof. Matteo Viel)
Graduate student(w/ Prof. Matteo Viel)

SISSA, Trieste, Italy

2013-2016

SISSA, Trieste, Italy

2014-2016

Andrej Obuljen

Graduate student(w/ Prof. Matteo Viel)

SISSA, Trieste, Italy

2015-2016

David Valcin

Graduate student(w/ Prof. Licia Verde)

ICC, Barcelona, Spain

2017-

Travis Court

Undergraduate student

Allegheny college, USA

summer 2017

Helen Shao

High-school student

Bronx high-schoolof Science, USA2018-

Seda Bilaloglu
Asena Derin Cengiz
Atakan Okan
Juan Zamudio

CDS master students(with Prof. Shirley Ho)

NYU, New York, USA

2018-2019

Ana Maria Delgado

Undergraduate student

CUNY, New York, USA

2019-2020

Sudat Khan

High-school student

Stuyvesant high-school, USA

2019-

Valentina La Torre

Undergraduate student

CCA, New York, USA

2019-

Pablo Villanueva

Graduate student
Graduate student(with Prof. Shirley Ho)

IFIC, Valencia, Spain

20192019-

Jay Wadekar

NYU, New York, USA

Andrew Wu

Undergraduate student(with Prof. David Spergel)Princeton University, USA

2019-

Yu CaoElaine Cui
Yuanxi Sun
Kaitai Zhang

CDS master students(with Prof. Shirley Ho)

NYU, New York, USA

2019-

Noah Kasmanoff

CDS master student(with Prof. Shirley HoProf. Jeremy Tinker)

NYU, New York, USA

2019-

Leander Thiele

Graduate student(with Prof. David Spergel)Princeton University, USA

2019-

Oliver Philcox

Graduate student(with Prof. David Spergel)Princeton University, USA

2019-

Jalen Salmon
Jupiter Ding
Arnab Lahiry
Chaitanya Chawak
TonyLouis Verberi
Nicolas Echeverri
Natali de Santi

Undergraduate student
Undergraduate student
Undergraduate student
Undergraduate student
Undergraduate student
Undergraduate student
Graduate student

Princeton University, USA
Princeton University, USA
IISER, Tirupati, India
IISER, Tirupati, India
University of Toronto, Canada
University of Antioquia, Colombia
University of Sao Paolo, Brazil

2020
2020
202220222022
20222022-

Subhrat Praharaj
Avery Kim
Nathaniel Oyeka
Fedir Boreiko
Shurui Lin
Divij Sharma
Oriol Castander

Undergraduate student
Graduate student
Undergraduate student
Undergraduate student
Undergraduate student
Undergraduate student
Undergraduate student

BITS, Pilani, India
Columbia University, USA
NSBP fellow, USA
Columbia University, USA
University of Science and Technology, China
UC Berkeley, USA
University of Barcelona, Spain

2022202220232023202320232023-

Invited talks

1. The CAMELS project
SIMBA workshop

05/02/2023
CCA, New York, USA

2. Learning fundamental physics with machine learning and virtual universes
SPS colloquium

04/28/2023
University of Connecticut

3. Simulation-based inference for cosmology
IAU-IAA seminar
4. Unveiling the nature of dark matter with deep learning
Dark cosmos seminar
5. Cosmology in the machine learning era
IID 2022; workshop and winter school

02/14/2023
Remote11/29/2022
Princeton University
11/18/2022
Lake Guntersville, Alabama

6. Cosmology in the machine learning era
Department of theoretical physics colloquium, TIFR, Mumbai, India
7. The CAMELS project
UPenn seminar

11/01/2022
remote10/19/2022
University of Pennsylvania

8. Machine learning in astrophysics and cosmology
Nature Review Physics, The Alan Turing Institute09/21/2022
remote9. Towards optimal likelihood-free inference for cosmology with deep learning
Interpretable and higher-order statistics for late time cosmology workshop, IFPU, Trieste

06/27/2022
remote10. Cosmology in the machine learning era
IberiCOS 2022

05/06/2022
ICE, Barcelona

11. Cosmology in the machine learning era
TH Cosmo Coffee, CERN

04/13/2022
Remote12. The CAMELS project
BCCP cosmology seminar, Berkeley

04/12/2022
Remote13. The CAMELS project
Data-Science Astro seminar, Yale

04/12/2022
Remote

14. The dawn of cosmology’s AI revolution
AI For Good

03/24/2022
Remote15. The CAMELS project
Penn State University Colloquium

03/02/2022
Remote16. Cosmology with one galaxy
Bahcall lunch
17. The role of super-resolution in cosmology and astrophysics
AISR2022 conference

03/01/2022
Princeton University
02/23/2022
Carnegie Mellon University

18. Cosmology in the machine learning era
Missouri S&T colloquium

02/03/2022
Remote19. The role of simulations and machine learning in astrophysics
Sazerac conference

02/03/2022
Remote20. The Cosmology and Astrophysics with MachinE Learning Simulations project
Minerva seminar, Paris

02/01/2022
Remote21. Cosmology at different scales
Cambridge University, LSS discussion group

01/27/2022
Remote22. The Cosmology and Astrophysics with MachinE Learning Simulations project
IAC Canary Island seminar

12/16/2021
Remote23. The Cosmology and Astrophysics with MachinE Learning Simulations project
IPMU APEC seminar

12/15/2021
Remote24. The Cosmology and Astrophysics with MachinE Learning Simulations projectFermilab CPC seminar

11/29/2021
Remote25. The Cosmology and Astrophysics with MachinE Learning Simulations project
UConn colloquium

11/12/2021
Remote26. Cosmology in the machine learning era
First MODE Workshop on Differentiable Programming

09/07/2021
Remote27. Can we trust predictions from super-intelligent machines?
Philosophical Aspects of Simulations in Cosmology

08/10/2021
Remote28. Cosmology in the Machine Learning Era
APS 2021

04/18/2021
Remote29. Building the cosmological rosetta stone
ITC Harvard, colloquium

01/07/2021
Remote30. Cosmology in the Machine Learning Era
UC Santa Cruz colloquium

01/20/2021
Remote31. Cosmology in the Machine Learning Era
CTAC, Zurich

01/07/2021
Remote32. Cosmology in the Machine Learning Era
University of British Columbia colloquium

12/07/2020
Remote33. Cosmology in the Machine Learning Era
Theory seminar, University of Geneva

12/04/2020
Remote34. CAMELS: Cosmology and Astrophysics with MachinE Learning Simulations
Harvard group meeting

11/02/2020
Remote35. Cosmology in the Machine Learning Era
Waterloo Center for Astrophysics seminar

10/21/2020
Remote36. Cosmology in the Machine Learning Era
Theory seminar

11/12/2019
Madison, USA

37. Cosmology in the Machine Learning Era
Michigan Tech Physics colloquium

10/24/2019
Houghton, USA

38. The Universe: the most sensitive neutrino mass detector
Invisibles 2019 conference

05/11/2019
Valencia, Spain

39. Weighing neutrinos on the sky
Sun Yat-Sen University seminar

04/19/2019
Zhuhai, China

40. Weighing neutrinos on the sky
SJTU seminar

04/16/2019
Shanghai, China

41. Quantifying the information content on high-order statistics
PTChat@Kyoto

04/11/2019
Kyoto, Japan

42. Towards a 5σ detection on the sum of the neutrino masses
CEA Saclay seminar

04/08/2019
Saclay, Paris, France

43. Towards a 5σ constraint on the sum of the neutrino masses
ITC seminar

03/19/2019
Harvard University, USA

44. Cosmology with 21cm intensity mapping
Cosmology on Safari 201903/07/2019
Hluhluwe, South Africa

45. Towards a 5σ detection on the sum of the neutrino masses
IPMU seminar

02/25/2019
Tokyo, Japan

46. Towards a 5σ constraint on the sum of the neutrino masses
Cosmology seminar

01/29/2019
UC Berkeley, USA

47. Cosmology and astrophysics with cosmic neutral hydrogen
Tsinghua University colloquium

01/18/2019
Beijing, China

48. Constraining neutrino masses with a single Universe
Methods for statistical inference conference
49. Weighing neutrinos with Lyα-forest voids
Cosmology with cosmic voids workshop
50. Ingredients for 21cm intensity mapping
21cm cosmology workshop

10/23/2018
IHP, Paris, France
09/25/2018
CCA, New York, USA
09/18/2018
Pingtang, China

51. Weighing neutrinos with cosmological observables
Cosmology seminar

09/06/2018
Perimeter Institute, Canada

52. Weighing neutrinos with cosmological observables
Fermilab colloquium

08/08/2018
Fermilab, USA

53. Hydrodynamic simulations of neutral hydrogen
Tremendous radio-arrays workshop
54. Ingredients for 21cm intensity mapping
The non-linear Universe 2018 workshop

07/31/2018
BNL, USA
07/15/2018
Smartno, Slovenia

55. Weighing neutrinos with cosmic HI
PASCOS 2018 conference

06/07/2018
Case Western Reserve University, USA

56. Cosmology with neutral hydrogen
CITA seminar

04/18/2018
CITA, Toronto, Canada

57. Cosmology with neutral hydrogen
BNL seminar

02/16/2018
BNL, USA58. The impact of massive neutrinos of cosmological observables
KICP seminar

02/09/2018
KICP, Chicago, USA

59. Weighing neutrinos with cosmic HI
The SKA radio-telescope workshop

11/07/2017
IFIC, Valencia, Spain60. The imprint of neutrinos on clustering in redshift-space (organizer)
The non-linear Universe 2017 workshop
61. 21cm cosmology
Cosmology seminar
62. Neutrino masses in cosmology
Princeton Cosmology lunch
63. Weighing neutrinos with cosmological observables
YITP seminar
64. Massive neutrinos and large-scale structure: forecasts for SKA
Upenn seminar
65. Neutrinos, intensity mapping and LSS
CCA Flatiron symposium
66. Simulating HI: WDM, neutrinos and BAO
Cosmology with neutral hydrogen workshop
67. Impact of neutrino masses on the Universe’s large scale-structure
Cosmology seminar

07/21/2017
Smartno, Slovenia
04/20/2017
Brown University, USA
04/10/2017
Princeton University, USA
03/23/2017
Stony Brook University, USA
02/01/2017
Upenn, USA
01/27/2017
CCA, New York, USA
01/11/2017
Berkeley University, USA
11/15/2016
Johns Hopkins University, USA

68. Impact of neutrino masses on the Universe LSS
Theoretical challenges for precision galaxy clustering workshop

07/12/2016
Sesto, Italy

69. Precision cosmology with radial BAO from intensity mapping
BAO & RSD: dark light on obscure acronyms workshop

07/04/2016
Sesto, Italy

70. Impact of neutrino masses on the Universe’s large-scale structure
Neutrino and light particles in cosmology workshop
71. Cosmological constraints on neutrino properties
PhyStat-ν workshop
72. Massive neutrino signatures on the Universe’s large-scale structure
Cosmology seminar
73. The effect of massive neutrinos on the Universe’s large-scale structure
28th Texas Symposium on Relativistic Astrophysics
74. Massive neutrinos signatures on the Universe’s large-scale structure
Cosmology and particle physics seminar
75. Precision cosmology with 21cm intensity mapping
From inflation to galaxies workshop
76. Weighing neutrinos with cosmology
Galaxy Clustering within Euclid OULE3 workshop
77. 21cm cosmology
Cosmology seminar
78. Cosmology with neutral hydrogen
5th Hydrosim workshop

06/22/2016
Berkeley University, USA
05/31/2016
IPMU, Tokio, Japan
02/24/2016
Helsinki, Finland
12/15/2015
Geneva, Switzerland
09/18/2015
Geneva University, Switzerland
08/31/2015
Castiglioncello, Italy
07/07/2015
Sesto, Italy
02/18/2015
Brera Observatory, Milan, Italy
02/03/2015
Trieste Observatory, Italy

79. Small scale structures and neutrino masses
Neutrino Oscillation Workshop

09/10/2014
Otranto, Lecce, Italy

80. The impact of massive neutrinos on halo bias
4th Hydrosim meeting

09/24/2013
OATS, Trieste, Italy

81. Massive neutrinos simulations
3rd Hydrosim meeting

01/11/2013
OATS, Trieste, Italy

82. The Non-linear evolution of the neutrino cosmic background
ICTP seminar

12/04/2012
ICTP, Trieste, Italy

83. The impact of neutrino masses on cosmology
Cosmology seminar

04/18/2012
OATS, Trieste, Italy

References
Prof. Stefano Borgani

Trieste Observatory, Italy

Prof. Neal Dalal

Perimeter Institute, Canadandalal@perimeterinstitute.ca

Prof. Shirley Ho

CCA, Flatiron Institute, USAshirleyho@flatironinstitute.org

Prof. Abraham Loeb

ITC/Harvard University, USAaloeb@cfa.harvard.edu

Dr. Carlos Peña-Garay

IFIC, Spain

Dr. Emiliano Sefusatti

Trieste Observatory, Italy

Prof. David N. Spergel

CCA/Princeton University, USA

Prof. Licia Verde

ICC, Barcelona, Spain

Prof. Matteo Viel

SISSA, Italy

borgani@oats.inaf.it

penya@ific.uv.es
sefusatti@oats.inaf.it
dspergel@flatironinstitute.org
liciaverde@icc.ub.edu
viel@sissa.it

PUBLICATIONS

1. Signatures of a Parity-Violating Universe
William R. Coulton, Oliver H. E. Philcox, Francisco Villaescusa-Navarro
June 2023 [astro-ph/2306.11782]
2. Quijote-PNG: The Information Content of the Halo Mass Function
Gabriel Jung, Andrea Ravenni, Marco Baldi, William R. Coulton, Drew Jamieson, Dionysios Karagiannis,
Michele Liguori, Helen Shao, Licia Verde, Francisco Villaescusa-Navarro, Benjamin D. Wandelt
May 2023 [astro-ph/2305.10597]
3. Inferring Warm Dark Matter Masses with Deep Learning
Jonah C. Rose, Paul Torrey, Francisco Villaescusa-Navarro, Mark Vogelsberger, Stephanie O’Neil, Mikhail V.
Medvedev, Ryan Low, Rakshak Adhikari, Daniel Angles-Alcazar
April 2023 [astro-ph/2304.14432]
4. 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
April 2023 [astro-ph/2304.06084]
5. The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter
TNG and SIMBA suites
Yueying Ni, Shy Genel, Daniel Angles-Alcazar, Francisco Villaescusa-Navarro, Yongseok Jo, Simeon Bird,
Tiziana Di Matteo, Rupert Croft, Nianyi Chen, NatalÃ S. M. de Santi, Matthew Gebhardt, Helen Shao, Shivam
Pandey, Lars Hernquist, Romeel Dave
April 2023 [astro-ph/2304.02096]
6. Invertible mapping between fields in CAMELSSambatra Andrianomena, Sultan Hassan, Francisco Villaescusa-Navarro
March 2023 [astro-ph/2303.07473]
7. A universal equation to predict Ωm from halo and galaxy catalogues
Helen Shao, NatalÃ S. M de Santi, Francisco Villaescusa-Navarro, Romain Teyssier, Yueying Ni, Daniel
Angles-Alcazar, Shy Genel, Lars Hernquist, Ulrich P. Steinwandel, Tiago Castro, Elena Hernandez-Martinez,
Klaus Dolag, Christopher C. Lovell, Eli Visbal, Lehman H. Garrison, Mihir Kulkarni
February 2023 [astro-ph/2302.14591]
8. Robust field-level likelihood-free inference with galaxies
NatalÃ S. M. de Santi, Helen Shao, Francisco Villaescusa-Navarro, L. Raul Abramo, Romain Teyssier, Pablo
Villanueva-Domingo, Yueying Ni, Daniel Angles-Alcazar, Shy Genel, Elena Hernandez-Martinez, Ulrich P.
Steinwandel, Christopher C. Lovell, Klaus Dolag, Tiago Castro, Mark Vogelsberger
February 2023 [astro-ph/2302.14101]
9. 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
January 2023 [astro-ph/2301.02231]
10. 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 Angles-Alcazar, Shy Genel, Francisco VillaescusaNavarro, Ana Maria Delgado, Tiziana di Matteo
January 2023 [astro-ph/2301.02186]
11. Machine learning cosmology from void properties
Bonny Y. Wang, Alice Pisani, Francisco Villaescusa-Navarro, Benjamin D. Wandelt
December 2022 [astro-ph/2212.06860]
12. 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
November 2022 [astro-ph/2211.16461]
13. Euclid: Modelling massive neutrinos in cosmology – a code comparison
Julian Adamek et al.
November 2022 [astro-ph/2211.12457]
14. Quijote-PNG: Quasi-maximum likelihood estimation of Primordial Non-Gaussianity in the non-linear
halo density field
Gabriel Jung, Dionysios Karagiannis, Michele Liguori, Marco Baldi, William R Coulton, Drew Jamieson, Licia
Verde, Francisco Villaescusa-Navarro, Benjamin D. Wandelt
November 2022 [astro-ph/2211.07565]
15. Emulating cosmological multifields with generative adversarial networks
Sambatra Andrianomena, Francisco Villaescusa-Navarro, Sultan Hassan
November 2022 [astro-ph/2211.05000]
16. 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
September 2022 [astro-ph/2209.06843]
17. The SZ flux-mass (Y-M) relation at low halo masses: improvements with symbolic regression andstrong constraints on baryonic feedback
Digvijay Wadekar, Leander Thiele, J. Colin Hill, Shivam Pandey, Francisco Villaescusa-Navarro, David N.
Spergel, Miles Cranmer, Daisuke Nagai, Daniel Angles-Alcazar, Shirley Ho, Lars Hernquist
September 2022 [astro-ph/2209.02075]
18. Studying the Warm Hot Intergalactic Medium in emission: a reprise
Gabriele. Parimbelli, Enzo Branchini, Matteo Viel, Francisco Villaescusa-Navarro, John ZuHone
September 2022 [astro-ph/2209.00657]
19. Quijote PNG: The information content of the halo power spectrum and bispectrum
William R Coulton, Francisco Villaescusa-Navarro, Drew Jamieson, Marco Baldi, Gabriel Jung, Dionysios
Karagiannis, Michele Liguori, Licia Verde, Benjamin D. Wandelt
June 2022 [astro-ph/2206.15450]
20. Field Level Neural Network Emulator for Cosmological N-body Simulations
Drew Jamieson, Yin Li, Renan Alves de Oliveira, Francisco Villaescusa-Navarro, Shirley Ho, David N. Spergel
June 2022 [astro-ph/2206.04594]
21. Simple lessons from complex learning: what a neural network model learns about cosmic structureformation
Drew Jamieson, Yin Li, Siyu He, Francisco Villaescusa-Navarro, Shirley Ho, Renan Alves de Oliveira, David
N. Spergel
June 2022 [astro-ph/2206.04573]

22. Cosmological Information in the Marked Power Spectrum of the Galaxy Field
Elena Massara, Francisco Villaescusa-Navarro, ChangHoon Hahn, Muntazir M. Abidi, Michael Eickenberg,
Shirley Ho, Pablo Lemos, Azadeh Moradinezhad Dizgah, Bruno RÃ©galdo-Saint Blancard
June 2022 [astro-ph/2206.01709]
23. Quijote-PNG: Quasi-maximum likelihood estimation of Primordial Non-Gaussianity in the non-linear
dark matter density field
Gabriel Jung, Dionysios Karagiannis, Michele Liguori, Marco Baldi, William R Coulton, Drew Jamieson, Licia
Verde, Francisco Villaescusa-Navarro, Benjamin D. Wandelt
June 2022 [astro-ph/2206.01624]
24. Quijote-PNG: Simulations of primordial non-Gaussianity and the information content of the matterfield power spectrum and bispectrum
William R Coulton, Francisco Villaescusa-Navarro, Drew Jamieson, Marco Baldi, Gabriel Jung, Dionysios
Karagiannis, Michele Liguori, Licia Verde, Benjamin D. Wandelt
June 2022 [astro-ph/2206.01619]
25. Fast and realistic large-scale structure from machine-learning-augmented random field simulations
Davide Piras, Benjamin Joachimi, Francisco Villaescusa-Navarro
May 2022 [astro-ph/2205.07898]
26. Learning cosmology and clustering with cosmic graphs
Pablo Villanueva-Domingo, Francisco Villaescusa-Navarro
April 2022 [astro-ph/2204.13713]
27. Wavelet Moments for Cosmological Parameter Estimation
Michael Eickenberg, Erwan Allys, Azadeh Moradinezhad Dizgah, Pablo Lemos, Elena Massara, Muntazir
Abidi, ChangHoon Hahn, Sultan Hassan, Bruno Regaldo-Saint Blancard, Shirley Ho, Stephane Mallat, Joakim
Anden, Francisco Villaescusa-Navarro
April 2022 [astro-ph/2204.07646]
28. Quantification of high dimensional non-Gaussianities and its implication to Fisher analysis in cosmology
Core Francisco Park, Erwan Allys, Francisco Villaescusa-Navarro, Douglas P. Finkbeiner
April 2022 [astro-ph/2204.05435]
29. 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
Angles-Alcazar, Benjamin D. Wandelt, L. Y. Aaron Yung
April 2022 [astro-ph/2204.02408]
30. Machine Learning and Cosmology
Cora Dvorkin, Siddharth Mishra-Sharma, Brian Nord, V. Ashley Villar, Camille Avestruz, Keith Bechtol, Aleksandra Ciprijanovic, Andrew J. Connolly, Lehman H. Garrison, Gautham Narayan, Francisco VillaescusaNavarro
March 2022 [astro-ph/2203.08056]
31. Breaking baryon-cosmology degeneracy with the electron density power spectrum
Andrina Nicola, Francisco Villaescusa-Navarro, David N. Spergel, Jo Dunkley, Daniel Angles-Alcazar, Romeel
Dave, Shy Genel, Lars Hernquist, Daisuke Nagai, Rachel S. Somerville, Benjamin D. Wandelt
January 2022, 31pp. [astro-ph/2201.04142 ]JCAP submitted

32. 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-Nava
Stefania Amodeo, Daniel Angles-Alcazar, Greg L. Bryan, Romeel Dave, Lars Hernquist, Mark Vogelsberger
January 2022, 23pp. [astro-ph/2201.02708]
ApJ submitted
33. 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 Angles-Alcazar, Daisuke Nagai,
Mark Vogelsberger
January 2022, 26 pp. [astro-ph/2201.02202]
ApJ submitted

34. 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 Angles-Alcazar, Federico Marinacci
January 2022, 15 pp. [astro-ph/2201.01663]
ApJ submitted
35. 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, Miles Cranmer, David N.
Spergel, Nicholas Battaglia, Daniel Angles-Alcazar, Lars Hernquist, Shirley HoJanuary 2022, 17 pp. [astro-ph/2201.01305]
PNAS submitted
36. The CAMELS project: public data release
Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, 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
January 2022, 18 pp. [astro-ph/2201.01300]
ApJS submitted
37. Weighing the Milky Way and Andromeda with Artificial Intelligence
Pablo Villanueva-Domingo, Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, Lars Hernquist, Federico Marinacci, David N. Spergel, Mark Vogelsberger, Desika Narayanan
November 2021, 7 pp. [astro-ph/2111.14874]
PRL submitted
38. Inferring halo masses with Graph Neural Networks
Pablo Villanueva-Domingo, Francisco Villaescusa-Navarro, Daniel Angles-Alcazar, Shy Genel, Federico Marinacci, David N. Spergel, Lars Hernquist, Mark Vogelsberger, Romeel Dave, Desika Narayanan
November 2021, 18 pp. [astro-ph/2111.08683 ]ApJ submitted
39. NECOLA: Towards a Universal Field-level Cosmological Emulator
Neerav Kaushal, Francisco Villaescusa-Navarro, Elena Giusarma, Yin Li, Conner Hawry, Mauricio Reyes
November 2021, 9 pp. [astro-ph/2111.02441]
ApJ submitted
40. HIFlow: Generating Diverse HI Maps Conditioned on Cosmology using Normalizing Flow
Sultan Hassan, Francisco Villaescusa-Navarro, Benjamin Wandelt, David N. Spergel, Daniel Angles-Alcazar,
Shy Genel, Miles Cranmer, Greg L. Bryan, Romeel DavÃ©, Rachel S. Somerville, Michael Eickenberg, Desika
Narayanan, Shirley Ho, Sambatra Andrianomena
October 2021, 11 pp. [astro-ph/2110.02983]
ApJ submitted
41. 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
September 2021, 17 pp. [astro-ph/2109.10915]
ApJS submitted
42. 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

September 2021, 7 pp. [astro-ph/2109.10360]
PRL submitted
43. Multifield Cosmology with Artificial Intelligence
Francisco Villaescusa-Navarro, Daniel Angles-Alcazar, 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
September 2021, 11pp. [astro-ph/2109.09747]
PNAS submitted
44. Inpainting hydrodynamical maps with deep learning
Faizan G. Mohammad, Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, Mark Vogelsberger
September 2021, 14 pp. [astro-ph/2109.07070]
ApJ submitted
45. 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
September 2021, 23 pp. [astro-ph/2109.04484]
ApJ accepted
46. Reionization with Simba: How much does astrophysics matter in modeling cosmic reionization?
Sultan Hassan, Romeel DavÃ©, Matthew McQuinn, Rachel S. Somerville, Laura C. Keating, Daniel AnglesAlcazar, Francisco Villaescusa-Navarro, David N. Spergel
September 2021, 13 pp. [astro-ph/2109.03840]
ApJ submitted
47. The GIGANTES dataset: precision cosmology from voids in the machine learning era
Christina D. Kreisch, Alice Pisani, Francisco Villaescusa-Navarro, David N. Spergel, Benjamin D. Wandelt,
Nico Hamaus, Adrian E. Bayer
July 2021, 23 pp. [astro-ph/2107.02304]
ApJ submitted
48. MillimeterDL: Deep Learning Simulations of the Microwave Sky
Dongwon Han, Neelima Sehgal, Francisco Villaescusa-Navarro
May 2021, 21 pp. [astro-ph/2105.11444]
PRD, 104, 12, (2021) DOI: 10.1103/PhysRevD.104.123521
49. Histogram Pooling Operators: An Interpretable Alternative to DeepSets
Miles Cranmer, Christina Kreisch, Alice Pisani, Francisco Villaescusa-Navarro, David N. Spergel, Shirley Ho
May 2021, 4 pp.
ICLR 2021 workshop
50. Detecting the radiative decay of the cosmic neutrino background with line-intensity mappingJose Luis Bernal, Andrea Caputo, Francisco Villaescusa-Navarro, Marc Kamionkowski
March 2021, 7 pp. [astro-ph/2103.12099]
PRL, 127, 13, (2021) DOI: 10.1103/PhysRevLett.127.131102
51. Detecting neutrino mass by combining matter clustering, halos, and voids
Adrian E. Bayer, Francisco Villaescusa-Navarro, Elena Massara, Jia Liu, David N. Spergel, Licia Verde, Benjamin Wandelt, Matteo Viel, Shirley Ho
February 2021, 15 pp. [astro-ph/2102.05049]
ApJ, 919, 1, (2021) DOI: 10.3847/1538-4357/ac0e91
52. Information Content of Higher-Order Galaxy Correlation Functions
Lado Samushia, Zachary Slepian, Francisco Villaescusa-Navarro
January 2021, 14 pp. [astro-ph/2102.01696]
MNRAS, 505, 1, (2021)
DOI: 10.1093/mnras/stab1199
53. Learning the Evolution of the Universe in N-body Simulations
Chang Chen, Yin Li, Francisco Villaescusa-Navarro, Shirley Ho, Anthony Pullen
December 2020, 6 pp. [astro-ph/2012.05472]
NeurIPS 2020 Machine Learning and the Physical Science Workshop accepted54. Fast and Accurate Non-Linear Predictions of Universes with Deep Learning
Renan Alves de Oliveira, Yin Li, Francisco Villaescusa-Navarro, Shirley Ho, David N. Spergel
December 2020, 6 pp. [astro-ph/2012.00240]
NeurIPS 2020 Machine Learning and the Physical Science Workshop accepted
55. Constraining Mν with the Bispectrum II: The Total Information Content of the Galaxy Bispectrum
ChangHoon Hahn, Francisco Villaescusa-Navarro
December 2020, 24 pp. [astro-ph/2012.02200]
JCAP, 04, 029, (2021)
DOI: 10.1088/1475-7516/2021/04/029
56. dm2gal: Mapping Dark Matter to Galaxies with Neural Networks
Noah Kasmanoff, Francisco Villaescusa-Navarro, Jeremy Tinker, Shirley Ho
December 2020, 6 pp. [astro-ph/2012.00186]
NeurIPS 2020 Machine Learning and the Physical Science Workshop accepted
57. Modeling assembly bias with machine learning and symbolic regression
Digvijay Wadekar, Francisco Villaescusa-Navarro, Shirley Ho, Laurence Perreault-Levasseur
December 2020, 16 pp. [astro-ph/2012.00111]
PNAS submitted
58. Neural networks as optimal estimators to marginalize over baryonic effects
Francisco Villaescusa-Navarro, Benjamin D. Wandelt, Daniel Angles-Alcazar, Shy Genel, Jose Manuel Zorrilla
Matilla, Shirley Ho, David N. Spergel
November 2020, 16 pp. [astro-ph/2011.05992]
ApJ, 928, 44, (2022)
DOI: 10.3847/1538-4357/ac54a5
59. deep21: a Deep Learning Method for 21cm Foreground Removal
T. Lucas Makinen, Lachlan Lancaster, Francisco Villaescusa-Navarro, Peter Melchior, Shirley Ho, Laurence
Perreault-Levasseur, David N. Spergel
October 2020, 28 pp. [astro-ph/2010.15843]
JCAP, 2021, 04, (2021)
DOI: 10.1088/1475-7516/2021/04/081
60. The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations
Francisco Villaescusa-Navarro, Daniel Angles-Alcazar, 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
October 2020, 33 pp. [astro-ph/2010.00619]
ApJS, 915, 1, (2021)
DOI: 10.3847/1538-4357/abf7ba
61. CARPool: fast, accurate computation of large-scale structure statistics by pairing costly and cheap
cosmological simulations
Nicolas Chartier, Benjamin Wandelt, Yashar Akrami, Francisco Villaescusa-Navarro
September 2020, 18 pp. [astro-ph/2009.08970]
MNRAS, 503, 2, (2021)
DOI: 10.1093/mnras/stab430
62. The impact of massive neutrinos on halo assembly bias
Titouan Lazeyras, Francisco Villaescusa-Navarro, Matteo Viel
August 2020, 25 pp. [astro-ph/2008.12265]
JCAP, 2021, 03, (2021)
DOI: 10.1088/1475-7516/2021/03/022
63. The effects of massive neutrinos on the linear point of the correlation function
G. Parimbelli, S. Anselmi, M. Viel, C. Carbone, F. Villaescusa-Navarro, P.S. Corasaniti, Y. Rasera, R. Sheth,
G.D. Starkman, I. Zehavi
July 2020, 27 pp. [astro-ph/2007.10345]
JCAP, 01, 009, (2021)
DOI: 10.1088/1475-7516/2021/01/009

64. HInet: Generating neutral hydrogen from dark matter with neural networks
Digvijay Wadekar, Francisco Villaescusa-Navarro, Shirley Ho, Laurence Perreault-Levasseur
July 2020, 13 pp. [astro-ph/2007.10340]
ApJ, 916, 1, (2021)
DOI: 10.3847/1538-4357/ac033a
65. Teaching neural networks to generate Fast Sunyaev Zel’dovich Maps
Leander Thiele, Francisco Villaescusa-Navarro, David N. Spergel, Dylan Nelson, Annalisa Pillepich
July 2020, 21 pp. [astro-ph/2007.07267]
ApJ, 902, 2, (2020)
DOI: 10.3847/1538-4357/abb80f
66. Removing Astrophysics in 21 cm maps with Neural Networks
Pablo Villanueva-Domingo, Francisco Villaescusa-Navarro
June 2020, 17 pp. [astro-ph/2006.14305]
ApJ, 907, 1, (2021)
DOI: 10.3847/1538-4357/abd245
67. New Interpretable Statistics for Large Scale Structure Analysis and Generation
E. Allys, T. Marchand, J. -F. Cardoso, F. Villaescusa-Navarro, S. Ho, S. Mallat
June 2020, 21 pp. [astro-ph/2006.06298]
PRD 102, 103506 (2020)
DOI: 10.1103/PhysRevD.102.103506
68. The Effective Halo Model: Creating a Physical and Accurate Model of the Matter Power Spectrum andCluster Counts
Oliver H. E. Philcox, David N. Spergel, Francisco Villaescusa-Navarro
April 2020, 40 pp. [astro-ph/2004.09515]
PRD 101, 123520 (2020)
DOI: 10.1103/PhysRevD.101.123520
69. Using the Marked Power Spectrum to Detect the Signature of Neutrinos in Large-Scale Structure
Elena Massara, Francisco Villaescusa-Navarro, Shirley Ho, Neal Dalal, David N. Spergel
January 2020, 5 pp. [astro-ph/2001.11024]
PRL, 126, 1, (2021)
DOI: 10.1103/PhysRevLett.126.011301
70. Super-resolution emulator of cosmological simulations using deep physical models
Doogesh Kodi Ramanah, Tom Charnock, Francisco Villaescusa-Navarro, Benjamin D. Wandelt
January 2020, 10 pp. [astro-ph/2001.05519]
MNRAS, 495, 4, (2020)
DOI: 10.1093/mnras/staa1428
71. Primordial non-Gaussianity without tails – how to measure fNL with the bulk of the density PDF
Oliver Friedrich, Cora Uhlemann, Francisco Villaescusa-Navarro, Tobias Baldauf, Marc Manera, Takahiro
Nishimichi
December 2019, 20 pp. [astro-ph/1912.06621]
MNRAS, 498, 1, (2020)
DOI: 10.1093/mnras/staa2160
72. Fisher for complements: Extracting cosmology and neutrino mass from the counts-in-cells PDF
Cora Uhlemann, Oliver Friedrich, Francisco Villaescusa-Navarro, Arka Banerjee, Sandrine Codis
November 2019, 21 pp. [astro-ph/1911.11158]
MNRAS, 495, 4, (2020)
DOI: 10.1093/mnras/staa1155
73. Learning neutrino effects in Cosmology with Convolutional Neural Networks
Elena Giusarma, Mauricio Reyes Hurtado, Francisco Villaescusa-Navarro, Siyu He, Shirley Ho, ChangHoon
Hahn
October 2019, 8 pp. [astro-ph/1910.04255]
ApJ submitted
74. Baryonic effects on the matter bispectrum
Simon Foreman, William Coulton, Francisco Villaescusa-Navarro, Alexandre Barreira
October 2019, 28 pp. [astro-ph/1910.03597]

MNRAS, 498, 2, (2020)
DOI: 10.1093/mnras/staa2523
75. Constraining Mν with the Bispectrum I: Breaking Parameter Degeneracies
ChangHoon Hahn, Francisco Villaescusa-Navarro, Emanuele Castorina, Roman Scoccimarro
September 2019, 33 pp. [astro-ph/1909.11107]
JCAP, 03, 040, (2020)
DOI: 10.1088/1475-7516/2020/03/040
76. The Quijote simulations
Francisco Villaescusa-Navarro, ChangHoon Hahn, Elena Massara, Arka Banerjee, Ana Maria Delgado, Doogesh
Kodi Ramanah, Tom Charnock, Elena Giusarma, Yin Li, Erwan Allys, Antoine Brochard, Chi-Ting Chiang,
Siyu He, Alice Pisani, Andrej Obuljen, Yu Feng, Emanuele Castorina, Gabriella Contardo, Christina D.
Kreisch, Andrina Nicola, Roman Scoccimarro, Licia Verde, Matteo Viel, Shirley Ho, Stephane Mallat, Benjamin Wandelt, David N. Spergel
September 2019, 19 pp. [astro-ph/1909.05273]
ApJS, 250, 1, (2020)
DOI: 10.3847/1538-4365/ab9d82
77. Research and Development for HI Intensity Mapping
Zeeshan Ahmed, David Alonso, Mustafa A. Amin, Reza Ansari, Evan J. Arena, Kevin Bandura, Adam Beardsley, Philip Bull, Emanuele Castorina, Tzu-Ching Chang, Romeel Dave, Joshua S. Dillon, Alexander van
Engelen, Aaron Ewall-Wice, Simone Ferraro, Simon Foreman, Josef Frisch, Daniel Green, Gilbert Holder,
Daniel Jacobs, Dionysios Karagiannis, Alexander A. Kaurov, Lloyd Knox, Emily Kuhn, Adrian Liu, Yin-Zhe
Ma, Kiyoshi W. Masui, Thomas McClintock, Kavilan Moodley, Moritz Munchmeyer, Laura B. Newburgh, Andrei Nomerotski, Paul O’Connor, Andrej Obuljen, Hamsa Padmanabhan, David Parkinson, Olivier Perdereau,David Rapetti, Benjamin Saliwanchik, Neelima Sehgal, J. Richard Shaw, Chris Sheehy, Erin Sheldon, Raphael
Shirley, Eva Silverstein, Tracy Slatyer, Anze Slosar, Paul Stankus, Albert Stebbins, Peter Timbie, Gregory S.
Tucker, William Tyndall, Francisco Villaescusa-Navarro, Dallas Wulf
July 2019, 10 pp. [astro-ph/1907.13090]
White paper for Astro2020 decadal survey
78. Packed Ultra-wideband Mapping Array (PUMA): A Radio Telescope for Cosmology and Transients
Kevin Bandura, Emanuele Castorina, Liam Connor, Simon Foreman, Daniel Green, Dionysios Karagiannis, Adrian Liu, Kiyoshi W. Masui, Daan Meerburg, Moritz Munchmeyer, Laura B. Newburgh, Cherry Ng,
Paul O’Connor, Andrej Obuljen, Hamsa Padmanabhan, Benjamin Saliwanchik, J. Richard Shaw, Christopher
Sheehy, Paul Stankus, Anze Slosar, Albert Stebbins, Peter T. Timbie, William Tyndall, Francisco Villaescusa-Navarro,
Benjamin Wallisch, Martin White
July 2019, 10 pp. [astro-ph/1907.12559]
White paper for Astro2020 decadal survey
79. Weighing neutrinos with the halo environment
Arka Banerjee, Emanuele Castorina, Francisco Villaescusa-Navarro, Travis Court, Matteo Viel
July 2019, 26 pp. [astro-ph/1907.06598]
JCAP, 06, 032, (2020)
DOI: 10.1088/1475-7516/2020/06/032
80. HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial Networks
Juan Zamudio-Fernandez, Atakan Okan, Francisco Villaescusa-Navarro, Seda Bilaloglu, Asena Derin Cengiz, Siyu He, Laurence Perreault Levasseur, Shirley HoApril 2019, 9 pp. [astro-ph/1904.12846]
ApJ submitted
81. From Dark Matter to Galaxies with Convolutional Neural Networks
Jacky H. T. Yip, Xinyue Zhang, Yanfang Wang, Wei Zhang, Yueqiu Sun, Gabriella Contardo, Francisco Villaescusa-Navarro,
Siyu He, Shy Genel, Shirley HoOctober 2019, 4 pp. [astro-ph/1910.07813]
NeurIPS 2019 Machine Learning and the Physical Science Workshop accepted
82. Cosmic voids: a novel probe to shed light on our Universe
Alice Pisani, Elena Massara, David N. Spergel, David Alonso, Tessa Baker, Yan-Chuan Cai, Marius Cautun, Christopher Davies, Vasiliy Demchenko, Olivier Dore, Andy Goulding, Melanie Habouzit, Nico Hamaus,
Adam Hawken, Christopher M. Hirata, Shirley Ho, Bhuvnesh Jain, Christina D. Kreisch, Federico Marulli, Nelson Padilla, Giorgia Pollina, Martin Sahlen, Ravi K. Sheth, Rachel Somerville, Istvan Szapudi, Rien van deWeygaert, Francisco Villaescusa-Navarro, Benjamin D. Wandelt, Yun Wang
March 2019, 5 pp. [astro-ph/1903.05161]
White paper for Astro2020 decadal survey
83. Neutrino Mass from Cosmology: Probing Physics Beyond the Standard Model
Cora Dvorkin, Martina Gerbino, David Alonso, Nicholas Battaglia, Simeon Bird, Ana Diaz Rivero, Andreu
Font-Ribera, George Fuller, Massimiliano Lattanzi, Marilena Loverde, Julian B. Munoz, Blake Sherwin, Anze
Slosar, Francisco Villaescusa-Navarro
March 2019, 5 pp. [astro-ph/1903.03689]
White paper for Astro2020 decadal survey
84. Atomic and molecular gas in IllustrisTNG galaxies at low redshift
Benedikt Diemer, Adam R. H. Stevens, Claudia del P. Lagos, A. R. Calette, Sandro Tacchella, Lars Hernquist,
Federico Marinacci, Dylan Nelson, Annalisa Pillepich, Vicente Rodriguez-Gomez, Francisco Villaescusa-Navarro,
Mark Vogelsberger
Feb 2019, 22 pp. [astro-ph/1902.10714]
MNRAS, 487, 2, (2019)
DOI: 10.1093/mnras/stz1323
85. BE-HaPPY: Bias Emulator for Halo Power Spectrum including massive neutrinos
David Valcin, Francisco Villaescusa-Navarro, Licia Verde, Alvise Raccanelli
January 2019, 33 pp. [astro-ph/1901.06045]
JCAP, 12, 57, (2019)
DOI: 10.1088/1475-7516/2019/12/057
86. Dipole Distortions in the Intergalactic Medium
Derek Inman, Ue-Li Pen, Francisco Villaescusa-Navarro
November 2018, 10 pp. [astro-ph/1812.02148]
MNRAS, 487, 3, (2019)
DOI: 10.1093/mnras/stz1542
87. First detection of scale-dependent linear halo bias in N-body simulations with massive neutrinos
Chi-Ting Chiang, Marilena LoVerde, Francisco Villaescusa-Navarro
November 2018, 4 pp. [astro-ph/1811.12412]
PRL, 122, 041302, (2019)
DOI: 10.1103/PhysRevLett.122.041302
88. Measuring the EoR Power Spectrum Without Measuring the EoR Power Spectrum
Angus Beane, Francisco Villaescusa-Navarro, Adam Lidz
November 2018, 9 pp. [astro-ph/1811.10609]
ApJ, 874, 2, (2019)
DOI: 10.3847/1538-4357/ab0a08
89. Cosmology with Phase 1 of the Square Kilometre Array
Square Kilometre Array Cosmology Science Working Group: David J. Bacon, Richard A. Battye, Philip Bull,
Stefano Camera, Pedro G. Ferreira, Ian Harrison, David Parkinson, Alkistis Pourtsidou, Mario G. Santos,
Laura Wolz, Filipe Abdalla, Yashar Akrami, David Alonso, Sambatra Andrianomena, Mario Ballardini, Jose
Luis Bernal, Daniele Bertacca, Carlos A.P. Bengaly, Anna Bonaldi, Camille Bonvin, Michael L. Brown, Emma
Chapman, Song Chen, Xuelei Chen, Steven Cunnington, Tamara M. Davis, Clive Dickinson, Jose Fonseca, Keith Grainge, Stuart Harper, Matt J. Jarvis, Roy Maartens, Natasha Maddox, Hamsa Padmanabhan, Jonathan R. Pritchard, Alvise Raccanelli, Marzia Rivi, Sambit Roychowdhury, Martin Sahlen, Dominik J.
Schwarz, Thilo M. Siewert, Matteo Viel, Francisco Villaescusa-Navarro, Yidong Xu, Daisuke Yamauchi, Joe
Zuntz
November 2018, 35 pp. [astro-ph/1811.02743]
Submitted to Publications of the Astronomical Society of Australia
90. Suppressed Variance in Lyα Forest Simulations
Lauren Anderson, Andrew Pontzen, Andreu Font-Ribera, Francisco Villaescusa-Navarro, Keir K. Rogers, Shy
Genel
November 2018, 15 pp. [astro-ph/1811.00043]
ApJ, 871, 2, (2019)
DOI: 10.3847/1538-4357/aaf576

91. Inflation and Early Dark Energy with a Stage II Hydrogen Intensity Mapping experiment
Reza Ansari, Evan J. Arena, Kevin Bandura, Philip Bull, Emanuele Castorina, Tzu-Ching Chang, Simon Foreman, Josef Frisch, Daniel Green, Dionysios Karagiannis, Adrian Liu, Kiyoshi W. Masui, P. Daniel Meerburg,
Laura B. Newburgh, Andrej Obuljen, Paul O’Connor, J. Richard Shaw, Christopher Sheehy, Anze Slosar,
Kendrick Smith, Paul Stankus, Albert Stebbins, Peter Timbie, Francisco Villaescusa-Navarro, Martin White
October 2018, 73 pp. [astro-ph/1810.09572]
Submitted to Physics Reports
92. Fundamental Physics with the Square Kilometre Array
P. Bull, Stefano Camera, K. Kelley, H. Padmanabhan, J. Pritchard, A. Racanelli, S. Riemer-Sorensen, L. Shao,
S. Andrianomena, E. Athanassoula, D. Bacon, R. Barkana, G. Bertone, C. Bonvin, A. Bosma, M. Bruggen, C.
Burigana, C. Boehm, F. Calore, J. A. R. Cembranos, C. Clarkson, R. M. T. Connors, A. de la Cruz-Dombriz,
P. K. S. Dunsby, N. Fornengo, D. Gaggero, I. Harrison, J. Larena, Y.-Z. Ma, R. Maartens, M. Mendez-Isla,
S. D. Mohanty, S. G. Murray, D. Parkinson, A. Pourtsidou, P. J. Quinn, M. Regis, P. Saha, M. Sahlen, M.
Sakellariadou, J. Silk, T. Trombetti, F. Vazza, T. Venumadhav, F. Vidotto, F. Villaescusa-Navarro, Y. Wang, C.
Weniger, L. Wolz, F. Zhang, B. M. Gaensler, A. Weltman
October 2018, 70 pp. [astro-ph/1810.02680]
Publications of the Astronomical Society of Australia, 37, e002, (2020)
93. Extreme Spheres: Counts-in-cells for 21cm intensity mapping
Oliver Leicht, Cora Uhlemann, Francisco Villaescusa-Navarro, Sandrine Codis, Lars Hernquist, Shy Genel
August 2018, 12 pp. [astro-ph/1808.09968]
MNRAS, 484, 1, (2019)
DOI: 10.3847/1538-4357/aaf576
94. Modeling the atomic-to-molecular transition in cosmological simulations of galaxy formation
Benedikt Diemer, Adam R. H. Stevens, John C. Forbes, Federico Marinacci, Lars Hernquist, Claudia del P.
Lagos, Amiel Sternberg, Annalisa Pillepich, Dylan Nelson, Gergo Popping, Francisco Villaescusa-Navarro,
Paul Torrey, Mark Vogelsberger
June 2018, 21 pp. [astro-ph/1806.02341]
ApJS, 238, 2, (2018)
DOI: 10.3847/1538-4365/aae387
95. Statistical properties of paired fixed fields
Francisco Villaescusa-Navarro, Sigurd Naess, Shy Genel, Andrew Pontzen, Benjamin Wandelt, Lauren Anderson, Andreu Font-Ribera, Nicholas Battaglia, David N. Spergel
June 2018, 24 pp. [astro-ph/1806.01871]
ApJ 867, 2, (2018)
DOI: 10.3847/1538-4357/aae52b
96. The kinematic Sunyaev-Zel’dovich effect of the large-scale structure (II): the effect of modified gravity
Mauro Roncarelli, Marco Baldi, Francisco Villaescusa-Navarro
May 2018, 11 pp. [astro-ph/1805.11607]
MNRAS 481, 2, (2018)
DOI: 10.1093/mnras/sty2225
97. The HI content of dark matter halos at z ≈ 0 from ALFALFA
Andrej Obuljen, David Alonso, Francisco Villaescusa-Navarro, Ilsang Yoon, Michael Jones
May 2018, 17 pp. [astro-ph/1805.00934]
MNRAS, 486, 4, (2019)
DOI: 10.1093/mnras/stz1118
98. Ingredients for 21cm intensity mapping
Francisco Villaescusa-Navarro, Shy Genel, Emanuele Castorina, Andrej Obuljen, David N. Spergel, Lars
Hernquist, Dylan Nelson, Isabella P. Carucci, Annalisa Pillepich, Federico Marinacci, Benedikt Diemer, Mark
Vogelsberger, Rainer Weinberger, Rudiger Pakmor
April 2018, 41 pp. [astro-ph/1804.09180]
ApJ 866, 2, (2018)
DOI: 10.3847/1538-4357/aadba0
99. Primordial non-Gaussianities and zero bias tracers of the Large Scale Structure
Emanuele Castorina, Yu Feng, Uros Seljak, Francisco Villaescusa-Navarro
March 2018, 6 pp. [astro-ph/1803.11539]
PRL, 121, 10, (2018)
DOI: 10.1103/PhysRevLett.121.101301

100. Reducing Noise in Cosmological N-body Simulations with Neutrinos
Arka Banerjee, Devon Powell, Tom Abel, Francisco Villaescusa-Navarro
January 2018, 26 pp. [astro-ph/1801.03906]
JCAP, 09, 028, (2018)
DOI: 10.1088/1475-7516/2018/09/028
101. Line-Intensity Mapping: 2017 Status Report
Ely D. Kovetz, Marco P. Viero, Adam Lidz, Laura Newburgh, Mubdi Rahman, Eric Switzer, Marc Kamionkowski,
James Aguirre, Marcelo Alvarez, James Bock, J. Richard Bond, Goeffry Bower, C. Matt Bradford, Patrick C.
Breysse, Philip Bull, Tzu-Ching Chang, Yun-Ting Cheng, Dongwoo Chung, Kieran Cleary, Asantha Corray,
Abigail Crites, Rupert Croft, Olivier Dore, Michael Eastwood, Andrea Ferrara, Jose Fonseca, Daniel Jacobs,
Garrett K. Keating, Guilaine Lagache, Gunjan Lakhlani, Adrian Liu, Kavilan Moodley, Norm Murray, Aurelie Penin, Gergo Popping, Anthony Pullen, Dominik Reichers, Shun Saito, Ben Saliwanchik, Mario Santos,
Rachel Somerville, Gordon Stacey, George Stein, Francisco Villaescusa-Navarro, Eli Visbal, Amanda Weltman, Laura Wolz, Micheal Zemcov
September 2017, 99 pp. [astro-ph/1709.09066]102. High-redshift post-reionisation cosmology with 21cm intensity mapping
Andrej Obuljen, Emanuele Castorina, Francisco Villaescusa-Navarro, Matteo Viel
September 2017, 37 pp. [astro-ph/1709.07893]
JCAP, 05, 004, (2018)
DOI: 10.1088/1475-7516/2018/05/004
103. The imprint of neutrinos on clustering in redshift-space
Francisco Villaescusa-Navarro, Arka Banerjee, Neal Dalal, Emanuele Castorina, Roman Scoccimarro,
Raul Angulo, David N. Spergel
August 2017, 19 pp. [astro-ph/1708.01154]
ApJ, 861, 1 (2018)
DOI: 10.3847/1538-4357/aac6bf
104. Biases from neutrino bias: to worry or not to worry?
Alvise Raccanelli, Licia Verde, Francisco Villaescusa-Navarro
April 2017, 11pp. [astro-ph/1704.07837]
MNRAS 483, 1, (2019)
DOI: 10.1093/mnras/sty2162
105. The kinematic Sunyaev-Zel’dovich effect of the large-scale structure (I): dependence on neutrino mass
Mauro Roncarelli, Francisco Villaescusa-Navarro, Marco Baldi
February 2017, 11 pp. [astro-ph/1702.00676]
MNRAS, 467, 985, (2017)
DOI: 10.1093/mnras/stx170
106. Lensing is Low: Cosmology, Galaxy Formation, or New Physics?
Alexie Leauthaud, Shun Saito, Stefan Hilbert, Alexandre Barreira, Surhud More, Martin White, Shadab
Alam, Peter Behroozi, Kevin Bundy, Jean Coupon, Thomas Erben, Catherine Heymans, Hendrik Hildebrandt,
Rachel Mandelbaum, Lance Miller, Bruno Moraes, Maria E. S. Pereira, Sergio A. Rodriguez-Torres, Fabian
Schmidt, Huan-Yuan Shan, Matteo Viel, Francisco Villaescusa-Navarro
November 2016, 26 pp. [astro-ph/1611.08606]
MNRAS, 467, 3024, (2017)
DOI: 10.1093/mnras/stx258
107. The cross-correlation between 21cm intensity mapping maps and the Lyman-alpha forest in the postreionization era
Isabella P. Carucci, Francisco Villaescusa-Navarro, Matteo Viel
November 2016, 31 pp. [astro-ph/1611.07527]
JCAP, 04, 001, (2017)
DOI: 10.1088/1475-7516/2017/04/001
108. Accurate initial conditions in mixed Dark Matter–Baryon simulations
Wessel Valkenburg, Francisco Villaescusa-Navarro
October 2016, 10 pp. [astro-ph/1610.08501]
MNRAS, 467, 4401, (2017)
DOI: 10.1093/mnras/stx376

109. Baryon Acoustic Oscillations reconstruction with pixels
Andrej Obuljen, Francisco Villaescusa-Navarro, Emanuele Castorina, Matteo Viel
October 2016, 30 pp. [astro-ph/1610.05768]
JCAP, 09, 012, (2017)
DOI: 10.1088/1475-7516/2017/09/012
110. On the spatial distribution of neutral hydrogen in the Universe: bias and shot-noise of the HI PowerSpectrumEmanuele Castorina, Francisco Villaescusa-Navarro
September 2016, 10 pp. [astro-ph/1609.05157]
MNRAS, 471, 1788, (2017)
DOI: 10.1093/mnras/stx1599
111. Baryonic acoustic oscillations from 21cm intensity mapping: the Square Kilometre Array caseFrancisco Villaescusa-Navarro, David Alonso, Matteo Viel
September 2016, 17 pp. [astro-ph/1609.00019]
MNRAS, 466, 2736, (2017)
DOI: 10.1093/mnras/stw3224
112. Cosmic degeneracies II: Structure formation in joint simulations of Warm Dark Matter and f(R) gravity
Marco Baldi, Francisco Villaescusa-Navarro
August 2016, 14 pp. [astro-ph/1608.08057]
MNRAS, 473, 3226, (2018)
DOI: 10.1093/mnras/stx2594
113. Initial Conditions for Accurate N-Body Simulations of Massive Neutrino Cosmologies
Matteo Zennaro, Julien Bel, Francisco Villaescusa-Navarro, Carmelita Carbone, Emiliano Sefusatti, Luigi
Guzzo
May 2016, 15 pp. [astro-ph/1605.05283]
MNRAS, 466, 3244, (2017)
DOI: 10.1093/mnras/stw3340
114. Simulating cosmologies beyond ΛCDM with PINOCCHIO
Luca A. Rizzo, Francisco Villaescusa-Navarro, Pierluigi Monaco, Emiliano Munari, Stefano Borgani, Emanuele
Castorina, Emiliano Sefusatti
February 2016, 23 pp. [astro-ph/1610.07624]
JCAP, 01, 008, (2017)
DOI: 10.1088/1475-7516/2017/01/008
115. Beyond ΛCDM: Problems, solutions, and the road ahead
Philip Bull, Yashar Akrami, Julian Adamek, Tessa Baker, Emilio Bellini, Jose Beltran Jimenez, Eloisa Bentivegna, Stefano Camera, Sebastien Clesse, Jonathan H. Davis, Enea Di Dio, Jonas Enander, Fabio Finelli,Alan Heavens, Lavinia Heisenberg, Bin Hu, Claudio Llinares, Roy Maartens, Edvard Mörtsell, Seshadri Nadathur, Johannes Noller, Roman Pasechnik, Marcel S. Pawlowski, Thiago S. Pereira, Miguel Quartin, Angelo
Ricciardone, Signe Riemer-Sørensen, Massimiliano Rinaldi, Jeremy Sakstein, Ippocratis D. Saltas, Vincenzo
Salzano, Ignacy Sawicki, Adam R. Solomon, Douglas Spolyar, Glenn D. Starkman, Daniele Steer, Ismael
Tereno, Licia Verde, Francisco Villaescusa-Navarro, Mikael von Strauss, Hans A. Winther
December 2015, 97 pp. [astro-ph/1512.05356]
Physics of the Dark Universe 12 (2016) 56-99
DOI: 10.1016/j.dark.2016.02.001
116. Neutral hydrogen in galaxy clusters: impact of AGN feedback and implications for intensity mapping
Francisco Villaescusa-Navarro, Susana Planelles, Stefano Borgani, Matteo Viel, Elena Rasia, Giuseppe Murante, Klaus Dolag, Lisa K. Steinborn, Veronica Biffi, Alexander M. Beck, Cinthia Ragone-Figueroa
October 2015, 19 pp. [astro-ph/1510.04277]
MNRAS, 456, 3553, (2016)
DOI: 10.1093/mnras/stv2904
117. Weighing neutrinos with cosmic neutral hydrogen
Francisco Villaescusa-Navarro, Philip Bull, Matteo Viel
July 2015, 20 pp. [astro-ph/1507.05102]
ApJ, 814, 146, (2015)
DOI: 10.1088/0004-637X/814/2/146

118. Voids in massive neutrino cosmologies
Elena Massara, Francisco Villaescusa-Navarro, Matteo Viel, Paul M. Sutter
June 2015, 31 pp. [astro-ph/1506.03088]
JCAP, 11, 018, (2015)
DOI: 10.1088/1475-7516/2015/11/018
119. The effect of massive neutrinos on the BAO peak
Marco Peloso, Massimo Pietroni, Matteo Viel, Francisco Villaescusa-Navarro
May 2015, 26 pp. [astro-ph/1505.07477]
JCAP, 07, 01, (2015)
DOI: 10.1088/1475-7516/2015/07/001
120. Warm dark matter signatures on the 21cm power spectrum: Intensity mapping forecasts for SKA
Isabella P. Carucci, Francisco Villaescusa-Navarro, Matteo Viel, Andrea Lapi
February 2015, 25 pp. [astro-ph/1502.06961]
JCAP, 07, 47, (2015)
DOI: 10.1088/1475-7516/2015/07/047
121. Small scales structures and neutrino masses
Francisco Villaescusa-Navarro
January 2015, 4 pp. [astro-ph/1501.04546]
Nuclear and Particle Physics Proceedings, 56, 2015
DOI: 10.1016/j.nuclphysbps.2015.06.015
122. Cosmology with a SKA HI intensity mapping survey
Mario G. Santos, Philip Bull, David Alonso, Stefano Camera, Pedro G. Ferreira, Gianni Bernardi, Roy Maartens,
Matteo Viel, Francisco Villaescusa-Navarro, Filipe B. Abdalla, Matt Jarvis, R. Benton Metcalf, A. Pourtsidou,
Laura Wolz
January 2015, 27 pp. [astro-ph/1501.03989]
Proceedings of Advancing Astrophysics with the Square Kilometre Array (AASKA14)
DOI: 10.22323/1.215.0019
123. Cross-correlating 21cm intensity maps with Lyman Break Galaxies in the post-reionization era
Francisco Villaescusa-Navarro, Matteo Viel, David Alonso, Kanan K. Datta, Philip Bull, Mario G. Santos
October 2014, 23 pp. [astro-ph/1410.7393]
JCAP, 03, 34, (2015)
DOI: 10.1088/1475-7516/2015/03/034
124. The halo model in a massive neutrino cosmology
Elena Massara, Francisco Villaescusa-Navarro, Matteo Viel
October 2014, 28 pp. [astro-ph/1410.6813]
JCAP, 12, 53, (2014)
DOI: 10.1088/1475-7516/2014/12/053
125. Semi-Analytic Galaxy Formation in Massive Neutrinos Cosmologies
Fabio Fontanot, Francisco Villaescusa-Navarro, Davide Bianchi, Matteo Viel
September 2014, 8 pp. [astro-ph/1409.6309]
MNRAS, 447, 3361, (2015)
DOI: 10.1093/mnras/stu2705
126. A coarse grained perturbation theory for the Large Scale Structure, with cosmology and time independence in the UVAlessandro Manzotti, Marco Peloso, Massimo Pietroni, Matteo Viel, Francisco Villaescusa-Navarro
July 2014, 37 pp. [astro-ph/1407.1342]
JCAP, 09, 47, (2014)
DOI: 10.1088/1475-7516/2014/09/047
127. VIDE: The Void IDentification and Examination toolkit
Paul M. Sutter, Guilhem Lavaux, Nico Hamaus, Alice Pisani, Benjamin D. Wandelt, Michael S. Warren,
Francisco Villaescusa-Navarro, Paul Zivick, Qingqing Mao, Benjamin B. Thompson
June 2014. 9 pp. [astro-ph/1406.1191]
Astronomy & Computing, 9, 1, (2015)
DOI: 10.1016/j.ascom.2014.10.002

128. Modeling the neutral hydrogen distribution in the post-reionization universe: intensity mapping
Francisco Villaescusa-Navarro, Matteo Viel, Kanan K. Datta and T. Roy Choudhury
May 2014. 45 pp. [astro-ph/1405.6713]
JCAP, 09, 50, (2014)
DOI: 10.1088/1475-7516/2014/09/050
129. Constraining Warm Dark Matter with high-z supernova lensing
Stefania Pandolfi, Carmelo Evoli, Andrea Ferrara and Francisco Villaescusa-Navarro
Mar 2014. 7 pp. [astro-ph/1403.2185]
MNRAS, 442, 13, (2014)
DOI: 10.1093/mnras/stu785
130. Cosmic Degeneracies I: Joint N-body Simulations of Modified Gravity and Massive Neutrinos
Marco Baldi, Francisco Villaescusa-Navarro, Matteo Viel, Ewald Puchwein, Volker Springel and Lauro Moscardini
Nov 2013. 14 pp. [astro-ph/1311.2588]
MNRAS, 440, 75, (2014)
DOI: 10.1093/mnras/stu259
131. Cosmology with massive neutrinos III: the halo mass function and an application to galaxy clusters
Matteo Costanzi, Francisco Villaescusa-Navarro, Matteo Viel, Jun-Qing Xia, Stefano Borgani, Emanuele Castorina and Emiliano Sefusatti.
Nov 2013. 20 pp. [astro-ph/1311.1514]
JCAP, 12, 012, (2013)
DOI: 10.1088/1475-7516/2013/12/012
132. Cosmology with massive neutrinos II: on the universality of the halo mass function and bias
Emanuele Castorina, Emiliano Sefusatti, Ravi K. Sheth, Francisco Villaescusa-Navarro and Matteo Viel.
Nov 2013. 21 pp. [astro-ph/1311.1212]
JCAP, 02, 049, (2014)
DOI: 10.1088/1475-7516/2014/02/049
133. Cosmology with massive neutrinos I: towards a realistic modeling of the relation between matter,
haloes and galaxies
Francisco Villaescusa-Navarro, Federico Marulli, Matteo Viel, Enzo Branchini, Emanuele Castorina, Emiliano
Sefusatti and Shun Saito.
Nov 2013. 35 pp. [astro-ph/1311.0866]
JCAP, 03, 011, (2014)
DOI: 10.1088/1475-7516/2014/03/011
134. Non-linear evolution of the cosmic neutrino background
Francisco Villaescusa-Navarro, Simeon Bird, Carlos Peña-Garay and Matteo Viel.
Dec 2012. 24 pp. [astro-ph/1212.4855]
JCAP, 03, 019, (2013)
DOI: 10.1088/1475-7516/2013/03/019
135. Neutrino Signatures on the High Transmission Regions of the Lyman-alpha Forest
Francisco Villaescusa-Navarro, Mark Vogelsberger, Matteo Viel and Abraham Loeb.
Jun 2011. 9 pp. [astro-ph/1106.2543]
MNRAS, 431, 3670, (2013)
DOI: 10.1093/mnras/stt452
136. Neutrino Halos in Clusters of Galaxies and their Weak Lensing Signature
Francisco Villaescusa-Navarro, Jordi Miralda-Escudé, Carlos Peña-Garay and Vicent Quilis.
Apr 2011. 13 pp. [astro-ph/1104.4770]
JCAP, 06, 027, (2011)
DOI: 10.1088/1475-7516/2011/06/027
137. Signatures of photon and axion-like particle mixing in the gamma-ray burst jet
Olga Mena, Soebur Razzaque and Francisco Villaescusa-Navarro.
Jan 2011. 16 pp. [astro-ph/1101.190]
JCAP, 02, 030, (2011)
DOI: 10.1088/1475-7516/2011/02/030

138. Cores and cusps in warm dark matter halos
Francisco Villaescusa-Navarro and Neal Dalal.
Oct 2010. 16 pp. [astro-ph/1010.3008]
JCAP, 03, 024, (2011)
DOI: 10.1088/1475-7516/2011/03/024