Two-Point Separation Functions for Modeling Wide Binary Systems in Nearby Dwarf Galaxies
Christopher Kervick, Matthew G. Walker, Jorge Pe\~narrubia, Sergey, E. Koposov

TL;DR
This paper introduces a geometric method to model and analyze the separation functions of wide binary systems in dwarf galaxies, enabling inference of binary populations and dark matter substructure without standard correlation estimators.
Contribution
The paper provides analytic solutions for separation functions in various density profiles and demonstrates their use in recovering binary system properties from mock data.
Findings
Successfully recovers input binary population parameters from mock data.
Identifies features like steepening and truncation in separation functions.
Offers a new approach to study binary populations and dark matter in dwarf galaxies.
Abstract
We use a geometric method to derive (two-dimensional) separation functions amongst pairs of objects within populations of specified position function . We present analytic solutions for separation functions corresponding to a uniform surface density within a circular field, a Plummer sphere (viewed in projection), and the mixture thereof -- including contributions from binary objects within both sub-populations. These results enable inferences about binary object populations via direct modeling of object position and pair separation data, without resorting to standard estimators of the two-point correlation function. Analyzing mock data sets designed to mimic known dwarf spheroidal galaxies, we demonstrate the ability to recover input properties including the number of wide binary star systems and, in cases where the number of resolved binary pairs is…
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