| TDCOSMO-IV. Hierarchical time-delay cosmography–joint inference of the Hubble constant and galaxy density profiles S Birrer, AJ Shajib, A Galan, M Millon, T Treu, A Agnello, M Auger, ... Astronomy & Astrophysics 643, A165, 2020 | 348 | 2020 |
| lenstronomy II: A gravitational lensing software ecosystem S Birrer, AJ Shajib, D Gilman, A Galan, J Aalbers, M Millon, R Morgan, ... arXiv preprint arXiv:2106.05976, 2021 | 149 | 2021 |
| Hierarchical inference with bayesian neural networks: An application to strong gravitational lensing S Wagner-Carena, JW Park, S Birrer, PJ Marshall, A Roodman, ... The Astrophysical Journal 909 (2), 187, 2021 | 56 | 2021 |
| Large-scale gravitational lens modeling with Bayesian neural networks for accurate and precise inference of the Hubble constant JW Park, S Wagner-Carena, S Birrer, PJ Marshall, JYY Lin, A Roodman, ... The Astrophysical Journal 910 (1), 39, 2021 | 39 | 2021 |
| From images to dark matter: End-to-end inference of substructure from hundreds of strong gravitational lenses S Wagner-Carena, J Aalbers, S Birrer, EO Nadler, E Darragh-Ford, ... The Astrophysical Journal 942 (2), 75, 2023 | 38 | 2023 |
| Symphony: Cosmological Zoom-in Simulation Suites over Four Decades of Host Halo Mass EO Nadler, P Mansfield, Y Wang, X Du, S Adhikari, A Banerjee, A Benson, ... The Astrophysical Journal 945 (2), 159, 2023 | 30 | 2023 |
| Simulated annealing for jpeg quantization M Hopkins, M Mitzenmacher, S Wagner-Carena arXiv preprint arXiv:1709.00649, 2017 | 20 | 2017 |
| A novel CMB component separation method: hierarchical generalized morphological component analysis S Wagner-Carena, M Hopkins, A Diaz Rivero, C Dvorkin Monthly Notices of the Royal Astronomical Society 494 (1), 1507-1529, 2020 | 9 | 2020 |
| LSST Dark Energy Science Collaboration 2021 S Wagner-Carena, JW Park, S Birrer, PJ Marshall, A Roodman, ... ApJ 909, 187, 0 | 8 | |
| LSST Dark Energy Science Collaboration 2021 JW Park, S Wagner-Carena, S Birrer, PJ Marshall, JYY Lin, A Roodman ApJ 910, 39, 0 | 6 | |
| Hierarchical inference of the lensing convergence from photometric catalogs with Bayesian graph neural networks JW Park, S Birrer, M Ueland, M Cranmer, A Agnello, S Wagner-Carena, ... The Astrophysical Journal 953 (2), 178, 2023 | 3 | 2023 |
| paltas: Simulation-based inference on strong gravitational lensing systems S Wagner-Carena, J Aalbers, S Birrer, EO Nadler, E Darragh-Ford, ... Astrophysics Source Code Library, ascl: 2210.029, 2022 | 2 | 2022 |
| A Strong Gravitational Lens Is Worth a Thousand Dark Matter Halos: Inference on Small-Scale Structure Using Sequential Methods S Wagner-Carena, J Lee, J Pennington, J Aalbers, S Birrer, RH Wechsler arXiv preprint arXiv:2404.14487, 2024 | 1 | 2024 |
| Measuring the Unseen Universe with Statistical Vision: Strong Lensing as a Probe of Small-Scale Structure SM Wagner-Carena Stanford University, 2023 | | 2023 |
| baobab: Training data generator for hierarchically modeling strong lenses with Bayesian neural networks JW Park, S Wagner-Carena, S Birrer, PJ Marshall, JYY Lin, A Roodman Astrophysics Source Code Library, ascl: 2211.006, 2022 | | 2022 |
| ovejero: Bayesian neural network inference of strong gravitational lenses S Wagner-Carena, JW Park, S Birrer, PJ Marshall, A Roodman, ... Astrophysics Source Code Library, ascl: 2211.009, 2022 | | 2022 |
| " What's (the) Matter?", A Show on Elementary Particle Physics with 28 Demonstration Experiments HK Dreiner, M Becker, M Borzyszkowski, M Braun, A Faßbender, ... arXiv e-prints, arXiv: 1607.07478, 2016 | | 2016 |
Simon BirrerStony Brook University在 stonybrook.edu 的电子邮件经过验证
