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[ascl:2405.016] ABBHI: Autoregressive binary black hole inference

autoregressive-bbh-inference, written in Python, models the distributions of binary black hole masses, spins, and redshifts to identify physical features appearing in these distributions without the need for strongly-parametrized population models. This allows not only agnostic study of the “known unknowns” of the black hole population but also reveals the “unknown unknowns," the unexpected and impactful features that may otherwise be missed by the standard building-block method.

Code site:
https://github.com/tcallister/autoregressive-bbh-inference
Described in:
https://ui.adsabs.harvard.edu/abs/2024PhRvX..14b1005C
Bibcode:
2024ascl.soft05016C

Views: 288

ascl:2405.016
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