Redshift Distributions of Fast Radio Bursts Inferred Using Clustering in Dispersion Measure Space
Fast radio bursts (FRBs), millisecond-duration radio transient events, possess the potential to serve as excellent cosmological probes. The FRB redshift distribution contains information about the FRB sources, providing key constraints on the types of engines. However, it is quite challenging to obt...
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IOP Publishing
2025-01-01
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| Series: | The Astrophysical Journal |
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| Online Access: | https://doi.org/10.3847/1538-4357/adbbda |
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| author | Hui Peng Yu Yu |
| author_facet | Hui Peng Yu Yu |
| author_sort | Hui Peng |
| collection | DOAJ |
| description | Fast radio bursts (FRBs), millisecond-duration radio transient events, possess the potential to serve as excellent cosmological probes. The FRB redshift distribution contains information about the FRB sources, providing key constraints on the types of engines. However, it is quite challenging to obtain the FRB redshifts due to the poor localization and the faintness of the host galaxies. This reality severely restricts the application prospects and study of the physical origins of FRBs. We propose that the clustering of observed FRBs can be an effective approach to address this issue without needing to accurately model dispersion measure (DM) contributions from the host galaxy and the immediate environment of the source. Using the clustering of 5 × 10 ^7 simulated FRBs from future observations with sensitivity similar to the second phase of the Square Kilometre Array, we show that in extragalactic DM space, the redshift distributions can be accurately reconstructed, and the mean redshift for FRBs between 384.8 and 1450.3 pc cm ^−3 can be constrained to ∼0.001 ± 0.003(1 + z ). The results demonstrate the potential of FRB clustering to constrain redshift distributions and provide valuable insights into FRB source models and cosmological applications. |
| format | Article |
| id | doaj-art-556f3a9f330c4ca2bacfd2a86cdc2a50 |
| institution | DOAJ |
| issn | 1538-4357 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | The Astrophysical Journal |
| spelling | doaj-art-556f3a9f330c4ca2bacfd2a86cdc2a502025-08-20T02:41:37ZengIOP PublishingThe Astrophysical Journal1538-43572025-01-01982212410.3847/1538-4357/adbbdaRedshift Distributions of Fast Radio Bursts Inferred Using Clustering in Dispersion Measure SpaceHui Peng0https://orcid.org/0000-0003-3929-3229Yu Yu1https://orcid.org/0000-0002-9359-7170Department of Astronomy, School of Physics and Astronomy, Shanghai Jiao Tong University , Shanghai 200240, People’s Republic of China ; yuyu22@sjtu.edu.cn; Key Laboratory for Particle Astrophysics and Cosmology (MOE)/Shanghai Key Laboratory for Particle Physics and Cosmology , Shanghai 200240, People’s Republic of ChinaDepartment of Astronomy, School of Physics and Astronomy, Shanghai Jiao Tong University , Shanghai 200240, People’s Republic of China ; yuyu22@sjtu.edu.cn; Key Laboratory for Particle Astrophysics and Cosmology (MOE)/Shanghai Key Laboratory for Particle Physics and Cosmology , Shanghai 200240, People’s Republic of ChinaFast radio bursts (FRBs), millisecond-duration radio transient events, possess the potential to serve as excellent cosmological probes. The FRB redshift distribution contains information about the FRB sources, providing key constraints on the types of engines. However, it is quite challenging to obtain the FRB redshifts due to the poor localization and the faintness of the host galaxies. This reality severely restricts the application prospects and study of the physical origins of FRBs. We propose that the clustering of observed FRBs can be an effective approach to address this issue without needing to accurately model dispersion measure (DM) contributions from the host galaxy and the immediate environment of the source. Using the clustering of 5 × 10 ^7 simulated FRBs from future observations with sensitivity similar to the second phase of the Square Kilometre Array, we show that in extragalactic DM space, the redshift distributions can be accurately reconstructed, and the mean redshift for FRBs between 384.8 and 1450.3 pc cm ^−3 can be constrained to ∼0.001 ± 0.003(1 + z ). The results demonstrate the potential of FRB clustering to constrain redshift distributions and provide valuable insights into FRB source models and cosmological applications.https://doi.org/10.3847/1538-4357/adbbdaRadio transient sourcesAstronomy data analysisLarge-scale structure of the universe |
| spellingShingle | Hui Peng Yu Yu Redshift Distributions of Fast Radio Bursts Inferred Using Clustering in Dispersion Measure Space The Astrophysical Journal Radio transient sources Astronomy data analysis Large-scale structure of the universe |
| title | Redshift Distributions of Fast Radio Bursts Inferred Using Clustering in Dispersion Measure Space |
| title_full | Redshift Distributions of Fast Radio Bursts Inferred Using Clustering in Dispersion Measure Space |
| title_fullStr | Redshift Distributions of Fast Radio Bursts Inferred Using Clustering in Dispersion Measure Space |
| title_full_unstemmed | Redshift Distributions of Fast Radio Bursts Inferred Using Clustering in Dispersion Measure Space |
| title_short | Redshift Distributions of Fast Radio Bursts Inferred Using Clustering in Dispersion Measure Space |
| title_sort | redshift distributions of fast radio bursts inferred using clustering in dispersion measure space |
| topic | Radio transient sources Astronomy data analysis Large-scale structure of the universe |
| url | https://doi.org/10.3847/1538-4357/adbbda |
| work_keys_str_mv | AT huipeng redshiftdistributionsoffastradioburstsinferredusingclusteringindispersionmeasurespace AT yuyu redshiftdistributionsoffastradioburstsinferredusingclusteringindispersionmeasurespace |