Kaisey S. Mandel, Ph.D.
Affiliations: | 2011 | Harvard University, Cambridge, MA, United States |
Area:
observational astronomyGoogle:
"Kaisey Mandel"Cross-listing: Physics Tree
Parents
Sign in to add mentor| Robert P. Kirshner | grad student | 2011 | Harvard | |
| (Type Ia Supernove Inference: Hierarchical Bayesian Models in the Optical and Near Infrared.) | ||||
Children
Sign in to add trainee| Benjamin M. Boyd | grad student | University of Cambridge | |
| Daniel Muthukrishna | grad student | (Physics Tree) |
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Publications
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| Kelly PL, Rodney S, Treu T, et al. (2023) Constraints on the Hubble constant from Supernova Refsdal's reappearance. Science (New York, N.Y.). eabh1322 |
| Abbott TMC, Allam S, Andersen P, et al. (2019) First cosmology results using type Ia supernovae from the Dark Energy Survey: constraints on cosmological parameters The Astrophysical Journal. 872: 1-9 |
| Narayan G, Matheson T, Saha A, et al. (2019) Subpercent Photometry: Faint DA White Dwarf Spectrophotometric Standards for Astrophysical Observatories Astrophysical Journal Supplement Series. 241: 20 |
| Avelino A, Friedman AS, Mandel KS, et al. (2019) Type Ia Supernovae Are Excellent Standard Candles in the Near-infrared The Astrophysical Journal. 887: 106 |
| Brout D, Scolnic D, Kessler R, et al. (2019) First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation The Astrophysical Journal. 874: 150-150 |
| Malz AI, Hložek R, Allam T, et al. (2019) The Photometric LSST Astronomical Time-series Classification Challenge PLAsTiCC : Selection of a Performance Metric for Classification Probabilities Balancing Diverse Science Goals The Astronomical Journal. 158: 171 |
| Kessler R, Brout D, D'Andrea CB, et al. (2019) First cosmology results using Type Ia supernova from the Dark Energy Survey: Simulations to correct supernova distance biases Monthly Notices of the Royal Astronomical Society. 485: 1171-1187 |
| Kessler R, Narayan G, Avelino A, et al. (2019) Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC) Publications of the Astronomical Society of the Pacific. 131: 94501 |
| Muthukrishna D, Narayan G, Mandel KS, et al. (2019) RAPID: Early Classification of Explosive Transients Using Deep Learning Publications of the Astronomical Society of the Pacific. 131: 118002 |
| Guillochon J, Nicholl M, Villar VA, et al. (2018) MOSFiT: Modular Open Source Fitter for Transients The Astrophysical Journal Supplement Series. 236: 6 |