Low Mass X-ray Binary Simulation Data Release
Chatrik Singh Mangat, Natalia Ivanova, Kenny Van

TL;DR
This paper introduces DABS, an open-access database of simulated Low Mass X-ray Binaries, along with PEAS, a tool to predict progenitors and analyze binary evolution, aiding observational and theoretical studies.
Contribution
It provides a comprehensive database of LMXB models and a novel tool for progenitor prediction, enhancing research on binary evolution and population synthesis.
Findings
DABS covers a wide range of initial conditions for LMXBs.
PEAS enables efficient progenitor identification for observed systems.
The database supports improved modeling of supernova kicks and binary outcomes.
Abstract
We present DABS (Database of Accreting Binary Simulations), an open-access database of modelled Low Mass X-ray Binaries (LMXBs). DABS has been created using evolutionary tracks of neutron star and black hole LMXBs, spanning a large set of initial conditions for the accretor mass, donor mass, and orbital period. The LMXBs are evolved with the Convection and Rotation Boosted Magnetic Braking prescription. The most important asset of this online database is the tool PEAS (Progenitor Extractor for Accreting Systems). This tool can be used to predict the progenitors of any user-entered LMXB system and view their properties before the start of mass transfer. This prediction can facilitate preliminary searches for the progenitors of observed LMXBs, which can help in streamlining further detailed analyses. The PEAS tool can also be used to constrain population synthesis techniques that…
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Taxonomy
TopicsAstrophysical Phenomena and Observations · Gamma-ray bursts and supernovae · Particle Detector Development and Performance
