23 citations · 35 across the 8 of their papers we have counts for
4 papers · 1 filter
2Flow2SN: Dusty Supernova Cosmology with Photometric Redshifts and Contamination using Neural Simulation-Based Inference
Benjamin M. Boyd, Maximilian Autenrieth, Kaisey S. Mandel +4
Photometric Type Ia supernova (SN Ia) cosmology in the era of the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) demands statistical frameworks that simultaneou…
IR extremality and UV softness in string bootstrap
Shi-Lin Wan, Ji-Yang Wang, Shuang-Yong Zhou
Whether string amplitudes can be characterized by extremality within the space of consistent S-matrices is an intriguing question. We address this question within the framework of…
On the origin of the environmental dependence of SN Ia magnitudes: A BayeSN view of the ZTF SN Ia DR2
Madeleine Ginolin, Matthew Grayling, Kaisey S. Mandel +5
Astrophysical variabilities of Type Ia supernovae (SNe Ia), such as their link with their birth environment, are now one of the leading sources of systematic uncertainties on the m…
FlowSN: Neural Simulation-Based Inference under Realistic Selection Effects applied to Supernova Cosmology
Benjamin M. Boyd, Kaisey S. Mandel, Matthew Grayling +10
We present FlowSN, a statistical framework using simulation-based inference (SBI) with normalising flows to account for selection effects in observational astronomy. Failure to acc…