Revisiting Marked Galaxy Clustering from a Joint Point Process Perspective

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ID: 317182
2026
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Abstract
Abstract Marked correlation functions, in which galaxy properties such as luminosity or stellar mass are treated as marks, are widely used to test models of galaxy formation. In astronomy, however, these statistics are typically implemented as summary measures that do not preserve the joint structure of mark pairs conditioned on separation. In this work, we formulate galaxies as points (x, m) on the product space $\mathbb {R}^3\times \mathcal {M}$, where x denotes position and m a mark, and introduce the joint pair correlation function g(r; m1, m2) as the fundamental quantity describing mark-dependent clustering. We further define a diagnostic quantity Δind(r; m1, m2) that locally quantifies deviations from the independence hypothesis relative to spatial clustering alone, thereby providing a projection-free description of which mark pairs are over- or underrepresented at a given separation scale. Within this framework, commonly used diagnostics such as the inhomogeneous cross-J function are naturally interpreted as summary statistics obtained through averaging over mark sets and geometric-event–based reductions of the joint structure. This perspective clarifies that previously discussed marked effects, including assembly bias, correspond to projections of an underlying joint dependence, and that observationally accessible information is the existence of non-factorizable joint structure itself. The present formulation provides both a fundamental quantity and practical diagnostics for its characterization.
Reference Key
openalex_W7163528416 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Tsutomu T. Takeuchi
Journal monthly notices of the royal astronomical society
Year 2026
DOI
10.1093/mnras/stag1015
URL
https://doi.org/10.1093/mnras/stag1015
Keywords Keywords not found

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