Published November 7, 2024 | Published
Journal Article Open

Preferential occurrence of fast radio bursts in massive star-forming galaxies

Abstract

Fast radio bursts (FRBs) are millisecond-duration events detected from beyond the Milky Way. FRB emission characteristics favour highly magnetized neutron stars, or magnetars, as the sources1, as evidenced by FRB-like bursts from a galactic magnetar2,3, and the star-forming nature of FRB host galaxies4,5. However, the processes that produce FRB sources remain unknown6. Although galactic magnetars are often linked to core-collapse supernovae (CCSNe)7, it is uncertain what determines which supernovae result in magnetars. The galactic environments of FRB sources can be used to investigate their progenitors. Here, we present the stellar population properties of 30 FRB host galaxies discovered by the Deep Synoptic Array (DSA-110). Our analysis shows a marked deficit of low-mass FRB hosts compared with the occurrence of star formation in the Universe, implying that FRBs are a biased tracer of star formation, preferentially selecting massive star-forming galaxies. This bias may be driven by galaxy metallicity, which is positively correlated with stellar mass8. Metal-rich environments may favour the formation of magnetar progenitors through stellar mergers9,10, as higher-metallicity stars are less compact and more likely to fill their Roche lobes, leading to unstable mass transfer. Although massive stars do not have convective interiors to generate strong magnetic fields by dynamo11, merger remnants are thought to have the requisite internal magnetic-field strengths to result in magnetars11,12. The preferential occurrence of FRBs in massive star-forming galaxies suggests that a core-collapse supernova of merger remnants preferentially forms magnetars.

Copyright and License

© 2024 Springer Nature Limited.

Acknowledgement

We thank the staff members of the Owens Valley Radio Observatory and the Caltech radio group, including K. Bernasconi, S. Cha-Ramos, S. Harnach, T. Klinefelter, L. McGraw, C. Posner, A. Rizo, M. Virgin, S. White and T. Zentmyer. Their tireless efforts were instrumental to the success of the Deep Synoptic Array (DSA-110). The DSA-110 is supported by the National Science Foundation Mid-Scale Innovations Program in Astronomical Sciences (MSIP) under grant AST-1836018. We acknowledge the use of the VLA Calibrator Manual and the Radio Fundamental Catalog. Some of the data presented here were obtained at the W. M. Keck Observatory, which is operated as a scientific partnership among the California Institute of Technology, the University of California and the National Aeronautics and Space Administration. The Observatory was made possible by the generous financial support of the W. M. Keck Foundation. K.S. thanks A. Gordon for guidance on spectral energy distribution modelling, A. Nugent and H. Kumar for valuable insights into the parallels with the short-duration gamma-ray burst host population, X. Prochaska, K. Bannister and A. Beloborodov for engaging discussions on the distribution of star formation in the Universe and the core-collapse supernova formation channel of fast radio burst sources, N. Sridhar for insightful discussions, D. Cook and J. Greene for discussions on star formation in the local universe and Y. Tomar for guidance in constructing mass functions and simulating background galaxy population.

Contributions

V.R. and G.Ha. led the development of the Deep Synoptic Array (DSA-110). D.H., M.H., J.La., P.R., S.W. and D.W. contributed to the construction of the DSA-110. K.S. and V.R. led the writing of the manuscript. K.S. developed the statistical framework to analyse the fast radio burst sample and undertook most of the optical/infrared host galaxy data analysis and interpretation. K.S., V.R., L.C., C.L., J.S., J.F., N.K., M.S., S.A., K.K.D., Y.-J.Q., S.R., D.Z.D., J.M. and Y.Y conducted the optical/infrared follow-up observations presented in this work. V.R., C.L., L.C., G.He. and R.H. developed the software pipeline for detecting fast radio bursts with the DSA-110. J.Le. and J.S. provided guidance for spectral energy distribution analysis. J.Le. provided guidance on simulating background galaxy populations.

Data Availability

The fast radio burst data presented here are included in the Supplementary Tables. We also publicly provide these data as a CSV file in the GitHub repository at https://github.com/krittisharma/frb_host_sharma2024.

Code Availability

We have created a reproduction package for our work that includes all code used for our analysis. We have placed this code at the following GitHub link: https://github.com/krittisharma/frb_host_sharma2024.

Supplemental Material

Supplementary Figs. 1-11 and Supplementary Tables 1-7. (PDF)

 

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Additional details

Created:
November 13, 2024
Modified:
November 13, 2024