The z-DM distribution of fast radio bursts
We develop a sophisticated model of fast radio burst (FRB) observations, accounting for the intrinsic cosmological gas distribution and host galaxy contributions, and give the most detailed account yet of observational biases due to burst width, dispersion measure, and the exact telescope beamshape....
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Language: | English |
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OXFORD UNIV PRESS
2022
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| Subjects: | |
| Online Access: | http://purl.org/au-research/grants/arc/DP180100857 http://hdl.handle.net/20.500.11937/91562 |
| _version_ | 1848765548466274304 |
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| author | James, Clancy Prochaska, J.X. Macquart, Jean-Pierre North-Hickey, F.O. Bannister, K.W. Dunning, A. |
| author_facet | James, Clancy Prochaska, J.X. Macquart, Jean-Pierre North-Hickey, F.O. Bannister, K.W. Dunning, A. |
| author_sort | James, Clancy |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | We develop a sophisticated model of fast radio burst (FRB) observations, accounting for the intrinsic cosmological gas distribution and host galaxy contributions, and give the most detailed account yet of observational biases due to burst width, dispersion measure, and the exact telescope beamshape. Our results offer a significant increase in both accuracy and precision beyond those previously obtained. Using results from ASKAP and Parkes, we present our best-fitting FRB population parameters in a companion paper. Here, we consider in detail the expected and fitted distributions in redshift, dispersion measure, and signal to noise. We estimate that the unlocalized ASKAP FRBs arise from z < 0.5, with between a third and a half within z < 0.1. Our predicted source-counts ('logN-logS') distribution confirms previous indications of a steepening index near the Parkes detection threshold of 1 Jy ms. We find no evidence for a minimum FRB energy, and rule out Emin > 1039.0 erg at 90 per cent C.L. Importantly, we find that above a certain DM, observational biases cause the Macquart (DM-z) relation to become inverted, implying that the highest-DM events detected in the unlocalized Parkes and ASKAP samples are unlikely to be the most distant. More localized FRBs will be required to quantitatively estimate this effect, though its cause is a well-understood observational bias. Works assuming a 1-1 DM-z relation may therefore derive erroneous results. Our analysis of errors suggests that limiting factors in our analysis are understanding of FRB spectral behaviour, sensitivity response of search experiments, and the treatment of the repeating population and luminosity function. |
| first_indexed | 2025-11-14T11:37:00Z |
| format | Journal Article |
| id | curtin-20.500.11937-91562 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:37:00Z |
| publishDate | 2022 |
| publisher | OXFORD UNIV PRESS |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-915622023-05-16T02:35:45Z The z-DM distribution of fast radio bursts James, Clancy Prochaska, J.X. Macquart, Jean-Pierre North-Hickey, F.O. Bannister, K.W. Dunning, A. Science & Technology Physical Sciences Astronomy & Astrophysics methods: statistical transients: fast radio bursts HOST GALAXY LIKELIHOOD-ESTIMATION REIONIZATION HISTORY SEARCH COUNTS ENVIRONMENT POPULATION EFFICIENT UNIVERSE ARRAY We develop a sophisticated model of fast radio burst (FRB) observations, accounting for the intrinsic cosmological gas distribution and host galaxy contributions, and give the most detailed account yet of observational biases due to burst width, dispersion measure, and the exact telescope beamshape. Our results offer a significant increase in both accuracy and precision beyond those previously obtained. Using results from ASKAP and Parkes, we present our best-fitting FRB population parameters in a companion paper. Here, we consider in detail the expected and fitted distributions in redshift, dispersion measure, and signal to noise. We estimate that the unlocalized ASKAP FRBs arise from z < 0.5, with between a third and a half within z < 0.1. Our predicted source-counts ('logN-logS') distribution confirms previous indications of a steepening index near the Parkes detection threshold of 1 Jy ms. We find no evidence for a minimum FRB energy, and rule out Emin > 1039.0 erg at 90 per cent C.L. Importantly, we find that above a certain DM, observational biases cause the Macquart (DM-z) relation to become inverted, implying that the highest-DM events detected in the unlocalized Parkes and ASKAP samples are unlikely to be the most distant. More localized FRBs will be required to quantitatively estimate this effect, though its cause is a well-understood observational bias. Works assuming a 1-1 DM-z relation may therefore derive erroneous results. Our analysis of errors suggests that limiting factors in our analysis are understanding of FRB spectral behaviour, sensitivity response of search experiments, and the treatment of the repeating population and luminosity function. 2022 Journal Article http://hdl.handle.net/20.500.11937/91562 10.1093/mnras/stab3051 English http://purl.org/au-research/grants/arc/DP180100857 http://purl.org/au-research/grants/arc/DP210102103 OXFORD UNIV PRESS fulltext |
| spellingShingle | Science & Technology Physical Sciences Astronomy & Astrophysics methods: statistical transients: fast radio bursts HOST GALAXY LIKELIHOOD-ESTIMATION REIONIZATION HISTORY SEARCH COUNTS ENVIRONMENT POPULATION EFFICIENT UNIVERSE ARRAY James, Clancy Prochaska, J.X. Macquart, Jean-Pierre North-Hickey, F.O. Bannister, K.W. Dunning, A. The z-DM distribution of fast radio bursts |
| title | The z-DM distribution of fast radio bursts |
| title_full | The z-DM distribution of fast radio bursts |
| title_fullStr | The z-DM distribution of fast radio bursts |
| title_full_unstemmed | The z-DM distribution of fast radio bursts |
| title_short | The z-DM distribution of fast radio bursts |
| title_sort | z-dm distribution of fast radio bursts |
| topic | Science & Technology Physical Sciences Astronomy & Astrophysics methods: statistical transients: fast radio bursts HOST GALAXY LIKELIHOOD-ESTIMATION REIONIZATION HISTORY SEARCH COUNTS ENVIRONMENT POPULATION EFFICIENT UNIVERSE ARRAY |
| url | http://purl.org/au-research/grants/arc/DP180100857 http://purl.org/au-research/grants/arc/DP180100857 http://hdl.handle.net/20.500.11937/91562 |