PICACS: self-consistent modelling of galaxy cluster scaling relations
B. J. Maughan (HH WIlls Physics Laboratory, University of Bristol)

TL;DR
PICACS is a novel, self-consistent model for galaxy cluster scaling relations that constrains their form, scatter, and evolution, providing insights into cluster physics and improving mass estimates.
Contribution
The paper introduces PICACS, a physically-motivated, internally consistent framework for modeling galaxy cluster scaling relations, enabling simultaneous constraint of relation parameters and cluster masses.
Findings
Gas depletion and heating explain the LT relation steepening.
Self-consistent analysis suggests weaker evolution of the LT relation.
Model performs as well as traditional methods but offers additional physical insights.
Abstract
In this paper, we introduce PICACS, a physically-motivated, internally consistent model of scaling relations between galaxy cluster masses and their observable properties. This model can be used to constrain simultaneously the form, scatter (including its covariance) and evolution of the scaling relations, as well as the masses of the individual clusters. In this framework, scaling relations between observables (such as that between X-ray luminosity and temperature) are modelled explicitly in terms of the fundamental mass-observable scaling relations, and so are fully constrained without being fit directly. We apply the PICACS model to two observational datasets, and show that it performs as well as traditional regression methods for simply measuring individual scaling relation parameters, but reveals additional information on the processes that shape the relations while providing…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
