Causal Discovery in Astrophysics: Unraveling Supermassive Black Hole and Galaxy Coevolution
Zehao Jin, Mario Pasquato, Benjamin L. Davis, Tristan Deleu, Yu Luo,, Changhyun Cho, Pablo Lemos, Laurence Perreault-Levasseur, Yoshua Bengio, Xi, Kang, Andrea Valerio Maccio, Yashar Hezaveh

TL;DR
This paper applies advanced causal discovery methods to astrophysical data, revealing different causal relationships between supermassive black holes and galaxy properties depending on galaxy morphology, thus providing new insights into galaxy evolution.
Contribution
It introduces a Bayesian causal discovery framework to astrophysics, uncovering causal directions between SMBH masses and galaxy features, with implications for galaxy formation theories.
Findings
In elliptical galaxies, bulge properties influence SMBH growth.
In spiral galaxies, SMBHs affect host galaxy properties.
Causal relationships differ by galaxy morphology, supporting hierarchical galaxy assembly models.
Abstract
Correlation does not imply causation, but patterns of statistical association between variables can be exploited to infer a causal structure (even with purely observational data) with the burgeoning field of causal discovery. As a purely observational science, astrophysics has much to gain by exploiting these new methods. The supermassive black hole (SMBH)--galaxy interaction has long been constrained by observed scaling relations, that is low-scatter correlations between variables such as SMBH mass and the central velocity dispersion of stars in a host galaxy's bulge. This study, using advanced causal discovery techniques and an up-to-date dataset, reveals a causal link between galaxy properties and dynamically-measured SMBH masses. We apply a score-based Bayesian framework to compute the exact conditional probabilities of every causal structure that could possibly describe our galaxy…
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Taxonomy
TopicsCosmology and Gravitation Theories · Relativity and Gravitational Theory · Astronomy and Astrophysical Research
