Spatially resolved stellar kinematics of the ultra-diffuse galaxy dragonfly 44. II. constraints on fuzzy dark matter A Wasserman, P van Dokkum, AJ Romanowsky, J Brodie, S Danieli, ... The Astrophysical Journal 885 (2), 155, 2019 | 52 | 2019 |
via machinae: Searching for stellar streams using unsupervised machine learning D Shih, MR Buckley, L Necib, J Tamanas Monthly Notices of the Royal Astronomical Society 509 (4), 5992-6007, 2022 | 45 | 2022 |
Vector boson fusion searches for dark matter at the LHC J Brooke, MR Buckley, P Dunne, B Penning, J Tamanas, M Zgubič Physical Review D 93 (11), 113013, 2016 | 41 | 2016 |
Simulation based inference for efficient theory space sampling: An application to supersymmetric explanations of the anomalous muon L Morrison, S Profumo, N Smyth, J Tamanas Physical Review D 106 (11), 115016, 2022 | 8 | 2022 |
Precisely Measuring the Cosmic Reionization History from IGM Damping Wings Towards Quasars JF Hennawi, T Kist, FB Davies, J Tamanas arXiv preprint arXiv:2406.12070, 2024 | | 2024 |
Applications of Neural Probabilistic Modeling to High Energy and Astrophysics J Tamanas University of California, Santa Cruz, 2022 | | 2022 |
Fully probabilistic quasar continua predictions near Lyman-{\alpha} with conditional neural spline flows DM Reiman, J Tamanas, JX Prochaska, D Ďurovčíková arXiv preprint arXiv:2006.00615, 2020 | | 2020 |