Gravitational wave energy spectral density properties from BPASS Galactic binary population in the Milky Way galaxy

Abstract We analyse the energy spectral density properties of Gravitational waves from Galactic binary populations in the mHz band targeted by the Laser Interferometer Space Antenna mission. Our analysis is based on combining BPASS with a Milky Way analogue galaxy from the Feedback In Realistic Environment (FIRE) simulations and the GWs these populations emit. Our investigation compares different functional forms of gravitational wave (GW) ESDs, namely the single power-law, broken power-law, and single-peak models, revealing disparities within and among Galactic binary populations. We estimate the ESDs for six different Galactic binary populations and the ESD of the total Galactic binary population for LISA. Employing a single power-law model, we predict a total Galactic binary GW signal amplitude α = $2.0^{+0.2}_{-0.2} \times 10^{-8}$ and a slope β = $-2.64 ^{+0.03}_{-0.04}$ and the ESD $\rm h^2 \Omega _{GW}$ = $1.1 ^{+0.1}_{-0.1} \times 10^{-9}$ at 3 mHz. For the Galactic WDB binary GW signal $\alpha = 1^{+0.02}_{-0.02} \times 10^{-10}$, $\beta = -1.56 ^{+0.03}_{-0.03}$ and $\rm h^2 \Omega _{GW} = 18 ^{+1}_{-1} \times 10^{-12}$. Our analysis underscores the importance of accurate noise parameter estimation and highlights the complexities of modelling realistic observations, prompting future exploration into more flexible models.

Authors

Institutions

Publication Details

Journal
Monthly Notices of the Royal Astronomical Society
Published
2025-09-19
DOI
https://doi.org/10.1093/mnras/staf1558
Primary Topic
Cosmology and Gravitation Theories
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gravitational wave energy spectral density properties from BPASS Galactic binary population in the Milky Way galaxy

Renate Meyer, Petra N Tang, J. J. Eldridge
Monthly Notices of the Royal Astronomical Society
Cosmology and Gravitation Theories
article

Gravitational wave energy spectral density properties from BPASS Galactic binary population in the Milky Way galaxy

Renate Meyer, Petra N Tang, J. J. Eldridge
article en

Abstract

Abstract We analyse the energy spectral density properties of Gravitational waves from Galactic binary populations in the mHz band targeted by the Laser Interferometer Space Antenna mission. Our analysis is based on combining BPASS with a Milky Way analogue galaxy from the Feedback In Realistic Environment (FIRE) simulations and the GWs these populations emit. Our investigation compares different functional forms of gravitational wave (GW) ESDs, namely the single power-law, broken power-law, and single-peak models, revealing disparities within and among Galactic binary populations. We estimate the ESDs for six different Galactic binary populations and the ESD of the total Galactic binary population for LISA. Employing a single power-law model, we predict a total Galactic binary GW signal amplitude α = $2.0^{+0.2}_{-0.2} \times 10^{-8}$ and a slope β = $-2.64 ^{+0.03}_{-0.04}$ and the ESD $\rm h^2 \Omega _{GW}$ = $1.1 ^{+0.1}_{-0.1} \times 10^{-9}$ at 3 mHz. For the Galactic WDB binary GW signal $\alpha = 1^{+0.02}_{-0.02} \times 10^{-10}$, $\beta = -1.56 ^{+0.03}_{-0.03}$ and $\rm h^2 \Omega _{GW} = 18 ^{+1}_{-1} \times 10^{-12}$. Our analysis underscores the importance of accurate noise parameter estimation and highlights the complexities of modelling realistic observations, prompting future exploration into more flexible models.

Monthly Notices of the Royal Astronomical Society
University of Auckland (NZ)
Openalex Percentile: Top 82%
Cosmology and Gravitation Theories
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.