# Exploring the Parameter Space of Compact Binary Population Synthesis

## TL;DR

This paper introduces COMPAS, a new platform for simulating and understanding the evolution of massive stellar binaries and their role as gravitational-wave sources, utilizing Gaussian process regression for efficient exploration.

## Contribution

The paper presents COMPAS, a novel simulation platform for binary evolution, and demonstrates the use of Gaussian process regression to address computational challenges in parameter space exploration.

## Key findings

- COMPAS enables detailed binary population synthesis.
- Gaussian process regression effectively emulates complex simulations.
- Initial results show promising insights into binary evolution.

## Abstract

As we enter the era of gravitational wave astronomy, we are beginning to collect observations which will enable us to explore aspects of astrophysics of massive stellar binaries which were previously beyond reach. In this paper we describe COMPAS (Compact Object Mergers: Population Astrophysics and Statistics), a new platform to allow us to deepen our understanding of isolated binary evolution and the formation of gravitational-wave sources. We describe the computational challenges associated with their exploration, and present preliminary results on overcoming them using Gaussian process regression as a simulation emulation technique.