Pulsar Polarization Array Limits on Ultralight Axionlike Dark Matter

We conduct the first-ever pulsar polarization array (PPA) analysis to detect the ultralight axionlike dark matter (ALDM) using the polarization data of 22 millisecond pulsars from the third data release of Parkes pulsar timing array. As one of the major dark matter candidates, the ultralight ALDM exhibits a pronounced wave nature on astronomical scales and offers a promising solution to small-scale structure issues within local galaxies. While the linearly polarized pulsar light travels through the ALDM galactic halo, its position angle (PA) can be subject to an oscillation induced by the ALDM Chern-Simons coupling with electromagnetic field. The PPA is thus especially suited for detecting the ultralight ALDM by correlating polarization data across the arrayed pulsars. To accomplish this task, we develop an advanced Bayesian analysis framework that allows us to construct pulsar PA residual time series, model noise contributions properly and search for pulsar cross-correlations. We find that for an ALDM density of ρ_{0}=0.4 GeV/cm^{3}, the Parkes PPA offers the best global limits on the ALDM Chern-Simons coupling, namely ≲10^{-13.5}-10^{-12.2} GeV^{-1}, for the mass range of 10^{-22}-10^{-21} eV. The crucial role of pulsar cross-correlation in recognizing the nature of the derived limits is also highlighted.

Authors

Institutions

Publication Details

Journal
Physical Review Letters
Published
2025-12-09
DOI
https://doi.org/10.1103/mptv-3x6g
Citations
3
Primary Topic
Dark Matter and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
5.61
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pulsar Polarization Array Limits on Ultralight Axionlike Dark Matter

Karl J. Friston
3 citations
Physical Review Letters
Dark Matter and Cosmic Phenomena
5.61
article

Pulsar Polarization Array Limits on Ultralight Axionlike Dark Matter

Karl J. Friston
article en
3 citations

Abstract

We conduct the first-ever pulsar polarization array (PPA) analysis to detect the ultralight axionlike dark matter (ALDM) using the polarization data of 22 millisecond pulsars from the third data release of Parkes pulsar timing array. As one of the major dark matter candidates, the ultralight ALDM exhibits a pronounced wave nature on astronomical scales and offers a promising solution to small-scale structure issues within local galaxies. While the linearly polarized pulsar light travels through the ALDM galactic halo, its position angle (PA) can be subject to an oscillation induced by the ALDM Chern-Simons coupling with electromagnetic field. The PPA is thus especially suited for detecting the ultralight ALDM by correlating polarization data across the arrayed pulsars. To accomplish this task, we develop an advanced Bayesian analysis framework that allows us to construct pulsar PA residual time series, model noise contributions properly and search for pulsar cross-correlations. We find that for an ALDM density of ρ_{0}=0.4 GeV/cm^{3}, the Parkes PPA offers the best global limits on the ALDM Chern-Simons coupling, namely ≲10^{-13.5}-10^{-12.2} GeV^{-1}, for the mass range of 10^{-22}-10^{-21} eV. The crucial role of pulsar cross-correlation in recognizing the nature of the derived limits is also highlighted.

Physical Review LettersVol. 136(1)
Commonwealth Scientific and Industrial Research Organisation (AU), Australia Telescope National Facility (AU), Universität Hamburg (DE), Hunan Normal University (CN), Institute for High Energy Physics (ES), Hong Kong University of Science and Technology (HK), Peking University (CN), Curtin University (AU), Beijing Normal University (CN), Xinjiang Astronomical Observatory (CN), Deutsches Elektronen-Synchrotron DESY (DE), Purple Mountain Observatory (CN), Zhejiang Lab (CN), ARC Centre of Excellence for Gravitational Wave Discovery (AU), National Astronomical Observatories (CN), Donostia International Physics Center (ES), Swinburne University of Technology (AU), Macquarie University (AU)
Openalex Percentile: Top 4%
Dark Matter and Cosmic Phenomena
5.61
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.