| The strong gravitational lens finding challenge RB Metcalf, M Meneghetti, C Avestruz, F Bellagamba, CR Bom, E Bertin, ... Astronomy & Astrophysics 625, A119, 2019 | 151 | 2019 |
| Mass Accretion and its Effects on the Self-similarity of Gas Profiles in the Outskirts of Galaxy Clusters ET Lau, D Nagai, C Avestruz, K Nelson, A Vikhlinin The Astrophysical Journal 806 (1), 68, 2015 | 124 | 2015 |
| DeepCMB: Lensing reconstruction of the cosmic microwave background with deep neural networks J Caldeira, WLK Wu, B Nord, C Avestruz, S Trivedi, KT Story Astronomy and Computing 28, 100307, 2019 | 91 | 2019 |
| Temperature structure of the intracluster medium from smoothed-particle hydrodynamics and adaptive-mesh refinement simulations E Rasia, ET Lau, S Borgani, D Nagai, K Dolag, C Avestruz, GL Granato, ... The Astrophysical Journal 791 (2), 96, 2014 | 82 | 2014 |
| The role of machine learning in the next decade of cosmology M Ntampaka, C Avestruz, S Boada, J Caldeira, J Cisewski-Kehe, ... arXiv preprint arXiv:1902.10159, 2019 | 73 | 2019 |
| Predicting merger-induced gas motions in ΛCDM galaxy clusters D Nagai, ET Lau, C Avestruz, K Nelson, DH Rudd The Astrophysical Journal 777 (2), 137, 2013 | 57 | 2013 |
| Star–galaxy classification in the Dark Energy Survey Y1 data set I Sevilla-Noarbe, B Hoyle, MJ Marchã, MT Soumagnac, K Bechtol, ... Monthly Notices of the Royal Astronomical Society 481 (4), 5451-5469, 2018 | 56 | 2018 |
| How biased are halo properties in cosmological simulations? P Mansfield, C Avestruz Monthly Notices of the Royal Astronomical Society 500 (3), 3309-3328, 2021 | 48 | 2021 |
| Non-equilibrium electrons in the outskirts of galaxy clusters C Avestruz, D Nagai, ET Lau, K Nelson The Astrophysical Journal 808 (2), 176, 2015 | 47 | 2015 |
| Imprints of mass accretion history on the shape of the intracluster medium and the TX–M relation H Chen, C Avestruz, AV Kravtsov, ET Lau, D Nagai Monthly Notices of the Royal Astronomical Society 490 (2), 2380-2389, 2019 | 36 | 2019 |
| Automated lensing learner: automated strong lensing identification with a computer vision technique C Avestruz, N Li, H Zhu, M Lightman, TE Collett, W Luo The Astrophysical Journal 877 (1), 58, 2019 | 28 | 2019 |
| Brightest cluster galaxies trace weak lensing mass bias and halo triaxiality in the three hundred project R Herbonnet, A Crawford, C Avestruz, E Rasia, C Giocoli, M Meneghetti, ... Monthly Notices of the Royal Astronomical Society 513 (2), 2178-2193, 2022 | 24 | 2022 |
| Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era E Kovacs, YY Mao, M Aguena, A Bahmanyar, A Broussard, J Butler, ... arXiv preprint arXiv:2110.03769, 2021 | 23 | 2021 |
| shaping the gas: understanding gas shapes in dark matter haloes with interpretable machine learning LF Machado Poletti Valle, C Avestruz, DJ Barnes, A Farahi, ET Lau, ... Monthly Notices of the Royal Astronomical Society 507 (1), 1468-1484, 2021 | 23 | 2021 |
| Cosmic Reionization On Computers: The Galaxy–Halo Connection between 5≤ z≤ 10 H Zhu, C Avestruz, NY Gnedin The Astrophysical Journal 899 (2), 137, 2020 | 23 | 2020 |
| Astronomy & Astrophysics, 625 RB Metcalf, M Meneghetti, C Avestruz A119, 2019 | 22 | 2019 |
| Testing X-ray measurements of galaxy cluster outskirts with cosmological simulations C Avestruz, ET Lau, D Nagai, A Vikhlinin The Astrophysical Journal 791 (2), 117, 2014 | 20 | 2014 |
| DeepSZ: identification of Sunyaev–Zel’dovich galaxy clusters using deep learning Z Lin, N Huang, C Avestruz, WLK Wu, S Trivedi, J Caldeira, B Nord Monthly Notices of the Royal Astronomical Society 507 (3), 4149-4164, 2021 | 19 | 2021 |
| Stirred, not clumped: evolution of temperature profiles in the outskirts of galaxy clusters C Avestruz, D Nagai, ET Lau The Astrophysical Journal 833 (2), 227, 2016 | 19 | 2016 |
| Machine learning and cosmology C Dvorkin, S Mishra-Sharma, B Nord, VA Villar, C Avestruz, K Bechtol, ... arXiv preprint arXiv:2203.08056, 2022 | 18 | 2022 |