| 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 | 118 | 2018 |
| 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 | 102 | 2018 |
| 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 | 87 | 2019 |
| 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 | 58 | 2022 |
| 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 | 58 | 2019 |
| Constraining neutrino mass with tomographic weak lensing peak counts Z Li, J Liu, JMZ Matilla, WR Coulton Physical Review D 99 (6), 063527, 2019 | 53 | 2019 |
| Interpreting deep learning models for weak lensing JMZ Matilla, M Sharma, D Hsu, Z Haiman Physical Review D 102 (12), 123506, 2020 | 37 | 2020 |
| Do dark matter halos explain lensing peaks? JMZ Matilla, Z Haiman, D Hsu, A Gupta, A Petri Physical Review D 94 (8), 083506, 2016 | 30 | 2016 |
| 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 | 22 | 2022 |
| 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 | 18 | 2022 |
| Multifield cosmology with artificial intelligence F Villaescusa-Navarro, D Anglés-Alcázar, S Genel, DN Spergel, Y Li, ... arXiv preprint arXiv:2109.09747, 2021 | 17 | 2021 |
| 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 | 17 | 2020 |
| Geometry and growth contributions to cosmic shear observables JMZ Matilla, Z Haiman, A Petri, T Namikawa Physical Review D 96 (2), 023513, 2017 | 17 | 2017 |
| 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 | 12 | 2021 |
| Optimizing simulation parameters for weak lensing analyses involving non-Gaussian observables JMZ Matilla, S Waterval, Z Haiman The Astronomical Journal 159 (6), 284, 2020 | 11 | 2020 |
| Probing gaseous galactic halos through the rotational kinematic Sunyaev-Zeldovich effect JMZ Matilla, Z Haiman Physical Review D 101 (8), 083016, 2020 | 11* | 2020 |
| 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, 267-277, 2019 | 6 | 2019 |
| 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 | 5 | 2022 |
| Can Halo Models Accurately Predict Weak Lensing Peaks? A Sabyr, Z Haiman, JM Zorrilla Matilla, T Lu American Astronomical Society Meeting# 240 54 (6), 214.01, 2022 | | 2022 |
| Extracting cosmological information from small scales in weak gravitational lensing data JMZ Matilla Columbia University, 2020 | | 2020 |
Zoltan HaimanColumbia UniversityVerified email at astro.columbia.edu
