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The CAMELS project: public data release

The CAMELS project: public data release

4 January 2022
F. Villaescusa-Navarro
S. Genel
D. Anglés-Alcázar
L. A. Perez
Pablo Villanueva-Domingo
D. Wadekar
Helen Shao
F. G. Mohammad
Sultan Hassan
E. Moser
E. Lau
Luis Fernando Machado Poletti Valle
A. Nicola
L. Thiele
Yongseok Jo
O. Philcox
B. Oppenheimer
M. Tillman
C. Hahn
Neerav Kaushal
A. Pisani
M. Gebhardt
Ana Maria Delgado
J. Caliendo
C. Kreisch
Ka-wah Wong
W. Coulton
Michael Eickenberg
G. Parimbelli
Y. Ni
U. Steinwandel
V. L. Torre
R. Davé
N. Battaglia
D. Nagai
D. Spergel
L. Hernquist
B. Burkhart
D. Narayanan
Benjamin Dan Wandelt
R. Somerville
Greg L. Bryan
M. Viel
Yin Li
V. Iršič
K. Kraljic
M. Vogelsberger
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Papers citing "The CAMELS project: public data release"

12 / 12 papers shown
Title
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects
Natalí S. M. de Santi
F. Villaescusa-Navarro
L. Abramo
Helen Shao
Lucia A. Perez
...
F. Marinacci
D. Spergel
K. Dolag
L. Hernquist
M. Vogelsberger
231
5
0
28 Jan 2025
Inferring halo masses with Graph Neural Networks
Inferring halo masses with Graph Neural Networks
Pablo Villanueva-Domingo
F. Villaescusa-Navarro
D. Anglés-Alcázar
S. Genel
F. Marinacci
D. Spergel
L. Hernquist
M. Vogelsberger
R. Davé
D. Narayanan
AI4CE
37
36
0
16 Nov 2021
Fast and Credible Likelihood-Free Cosmology with Truncated Marginal
  Neural Ratio Estimation
Fast and Credible Likelihood-Free Cosmology with Truncated Marginal Neural Ratio Estimation
A. Cole
Benjamin Kurt Miller
S. Witte
Maxwell X. Cai
M. Grootes
F. Nattino
Christoph Weniger
64
40
0
15 Nov 2021
The CAMELS Multifield Dataset: Learning the Universe's Fundamental
  Parameters with Artificial Intelligence
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence
F. Villaescusa-Navarro
S. Genel
D. Anglés-Alcázar
L. Thiele
R. Davé
...
Luis Fernando Machado Poletti Valle
L. A. Perez
D. Nagai
N. Battaglia
M. Vogelsberger
40
48
0
22 Sep 2021
Fast, high-fidelity Lyman $α$ forests with convolutional neural
  networks
Fast, high-fidelity Lyman ααα forests with convolutional neural networks
P. Harrington
Mustafa A. Mustafa
Max Dornfest
B. Horowitz
Z. Lukić
33
4
0
23 Jun 2021
AI-assisted super-resolution cosmological simulations II: Halo
  substructures, velocities and higher order statistics
AI-assisted super-resolution cosmological simulations II: Halo substructures, velocities and higher order statistics
Y. Ni
Yin Li
Patrick Lachance
R. Croft
T. Di Matteo
Simeon Bird
Yu Feng
36
16
0
03 May 2021
Hybrid analytic and machine-learned baryonic property insertion into
  galactic dark matter haloes
Hybrid analytic and machine-learned baryonic property insertion into galactic dark matter haloes
Ben Moews
R. Davé
Sourav Mitra
Sultan Hassan
W. Cui
AI4CE
119
7
0
10 Dec 2020
deep21: a Deep Learning Method for 21cm Foreground Removal
deep21: a Deep Learning Method for 21cm Foreground Removal
T. Lucas Makinen
Lachlan Lancaster
F. Villaescusa-Navarro
Peter Melchior
S. Ho
Laurence Perreault Levasseur
D. Spergel
3DPC
42
30
0
29 Oct 2020
AI-assisted super-resolution cosmological simulations
AI-assisted super-resolution cosmological simulations
Yin Li
Y. Ni
R. Croft
T. Di Matteo
Simeon Bird
Yu Feng
74
46
0
13 Oct 2020
Mass Estimation of Galaxy Clusters with Deep Learning I:
  Sunyaev-Zel'dovich Effect
Mass Estimation of Galaxy Clusters with Deep Learning I: Sunyaev-Zel'dovich Effect
N. Gupta
C. Reichardt
40
14
0
13 Mar 2020
Learning to Predict the Cosmological Structure Formation
Learning to Predict the Cosmological Structure Formation
Siyu He
Yin Li
Yu Feng
S. Ho
Siamak Ravanbakhsh
Wei Chen
Barnabás Póczós
59
170
0
15 Nov 2018
Forging new worlds: high-resolution synthetic galaxies with chained
  generative adversarial networks
Forging new worlds: high-resolution synthetic galaxies with chained generative adversarial networks
Prem Seetharaman
Shrikant Venkataramani
GAN
74
35
0
07 Nov 2018
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