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José Manuel Zorrilla Matilla
José Manuel Zorrilla Matilla
Verified email at astro.columbia.edu - Homepage
Title
Cited by
Cited by
Year
Non-Gaussian information from weak lensing data via deep learning
A Gupta, JMZ Matilla, D Hsu, Z Haiman
Physical Review D 97 (10), 103515, 2018
812018
MassiveNuS: cosmological massive neutrino simulations
J Liu, S Bird, JMZ Matilla, JC Hill, Z Haiman, MS Madhavacheril, A Petri, ...
Journal of Cosmology and Astroparticle Physics 2018 (03), 049, 2018
632018
Weak lensing cosmology with convolutional neural networks on noisy data
D Ribli, BÁ Pataki, JM Zorrilla Matilla, D Hsu, Z Haiman, I Csabai
Monthly Notices of the Royal Astronomical Society 490 (2), 1843-1860, 2019
422019
Constraining neutrino mass with weak lensing Minkowski Functionals
GA Marques, J Liu, JMZ Matilla, Z Haiman, A Bernui, CP Novaes
Journal of Cosmology and Astroparticle Physics 2019 (06), 019, 2019
392019
Constraining neutrino mass with tomographic weak lensing peak counts
Z Li, J Liu, JMZ Matilla, WR Coulton
Physical Review D 99 (6), 063527, 2019
392019
Do dark matter halos explain lensing peaks?
JMZ Matilla, Z Haiman, D Hsu, A Gupta, A Petri
Physical Review D 94 (8), 083506, 2016
242016
Interpreting deep learning models for weak lensing
JMZ Matilla, M Sharma, D Hsu, Z Haiman
Physical Review D 102 (12), 123506, 2020
122020
Geometry and growth contributions to cosmic shear observables
JMZ Matilla, Z Haiman, A Petri, T Namikawa
Physical Review D 96 (2), 023513, 2017
122017
Multifield Cosmology with Artificial Intelligence
F Villaescusa-Navarro, D Anglés-Alcázar, S Genel, DN Spergel, Y Li, ...
arXiv preprint arXiv:2109.09747, 2021
72021
Neural networks as optimal estimators to marginalize over baryonic effects
F Villaescusa-Navarro, BD Wandelt, D Anglés-Alcázar, S Genel, ...
The Astrophysical Journal 928 (1), 44, 2022
52022
Robust marginalization of baryonic effects for cosmological inference at the field level
F Villaescusa-Navarro, S Genel, D Angles-Alcazar, DN Spergel, Y Li, ...
arXiv preprint arXiv:2109.10360, 2021
52021
Probing gaseous galactic halos through the rotational kinematic Sunyaev-Zeldovich effect
JMZ Matilla, Z Haiman
Physical Review D 101 (8), 083016, 2020
5*2020
Simultaneously constraining cosmology and baryonic physics via deep learning from weak lensing
T Lu, Z Haiman, JM Zorrilla Matilla
Monthly Notices of the Royal Astronomical Society 511 (1), 1518-1528, 2022
42022
FIREBall-2: the faint intergalactic medium redshifted emission balloon telescope
E Hamden, DC Martin, B Milliard, D Schiminovich, S Nikzad, J Evrard, ...
The Astrophysical Journal 898 (2), 170, 2020
42020
Optimizing simulation parameters for weak lensing analyses involving non-Gaussian observables
JMZ Matilla, S Waterval, Z Haiman
The Astronomical Journal 159 (6), 284, 2020
42020
FIREBall-2: advancing TRL while doing proof-of-concept astrophysics on a suborbital platform
ET Hamden, K Hoadley, DC Martin, D Schiminovich, B Milliard, S Nikzad, ...
Micro-and Nanotechnology Sensors, Systems, and Applications XI 10982, 1098220, 2019
32019
The CAMELS Multifield Data Set: Learning the Universe’s Fundamental Parameters with Artificial Intelligence
F Villaescusa-Navarro, S Genel, D Angles-Alcazar, L Thiele, R Dave, ...
The Astrophysical Journal Supplement Series 259 (2), 61, 2022
12022
Cosmological constraints from weak lensing peaks: Can halo models accurately predict peak counts?
A Sabyr, Z Haiman, JMZ Matilla, T Lu
Physical Review D 105 (2), 023505, 2022
2022
Extracting cosmological information from small scales in weak gravitational lensing data
JMZ Matilla
Columbia University, 2020
2020
Extracting cosmological information from small scales in weak lensing data
J Zorrilla Matilla
American Astronomical Society Meeting Abstracts# 235 235, 153.03, 2020
2020
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Articles 1–20