Intermediate-Mass Stripped Stars in the Magellanic Clouds: Forward Modeling the Observed Population Discovered Via UV Excess
Lisa Blomberg, Kareem El-Badry, Bethany Ludwig, Maria Drout, Ylva Gotberg
TL;DR
We address the poorly constrained population of intermediate-mass stripped stars in the Magellanic Clouds ($1-8\,M_\odot$) and develop a forward-modeling framework to interpret UV-excess sources from the SUMS survey. By combining binary population synthesis grids (anchored to spatially resolved star-formation histories) with a 3D dust extinction model and a realistic Swift-UVOT photometry pipeline, we quantify the completeness and purity of UV-excess detections and predict the true underlying population. Our forward model predicts $\sim1100$ and $\sim2600$ stripped stars in the SMC and LMC, respectively, with a mock-observed recovery rate of $\sim9-13\%$ (before footprint correction) and $\sim13-45\%$ of intrinsic UV-excess systems recovered after accounting for selection and crowding. We find that UV-excess selection preferentially picks stripped stars with compact-object companions and that MS contamination and crowding can significantly bias the observed sample; the results provide a quantitative framework to test binary evolution scenarios and to compare observed and simulated stripped-star demographics in a realistic way.
Abstract
Stripped stars are hot, helium-rich stars formed when binary interactions remove a star's hydrogen envelope. While low-mass ($\lesssim 1\,M_\odot$) and high-mass ($\gtrsim 8\,M_\odot$) stripped stars are well studied as hot subdwarfs and Wolf-Rayet stars, their intermediate-mass counterparts ($1-8 \,M_\odot$) have only recently been discovered. The Stripped-Star Ultraviolet Magellanic Cloud Survey (SUMS) identified UV-excess sources in the Magellanic Clouds using Swift-UVOT photometry and selected 820 photometric stripped-star candidates. However, the selection function, completeness, and purity of this sample remain poorly understood. We forward model the population of stripped stars in the Magellanic Clouds using a binary population synthesis model combined with spatially resolved star formation histories and simulated UV photometry. To assess survey sensitivity, we inject simulated sources into real Swift-UVOT images and reproduce the SUMS selection process, including crowding, extinction, and photometric quality cuts. We recover $\sim 250$ simulated stripped stars with masses $\gtrsim 1\,M_{\odot}$, which corresponds to a recover rate of $9-13\,\%$. The rest are missed due to dilution by luminous companions, crowding, and high extinction. The observed population is biased toward systems with low-mass companions formed by common envelope evolution and toward systems with compact object companions. Of the stripped stars which show UV excess, $25-45\,\%$ are identifiable by SUMS; higher-resolution data or improved reddening corrections are needed to detect the rest. We predict contamination of the observed stripped star candidates by main-sequence stars with spurious UV excess due to crowding and provide guidelines for selecting higher-purity subsamples. These results enable tests of binary evolution models and realistic comparison of observed and simulated stripped-star populations.
