Bayesian Methods for Inferring Missing Data in the BATSE Catalog of Short Gamma-Ray Bursts
The knowledge of the redshifts of Short-duration Gamma-Ray Bursts (SGRBs) is essential for constraining their cosmic rates and thereby the rates of related astrophysical phenomena, particularly Gravitational Wave Radiation (GWR) events. Many of the events detected by gamma-ray observatories (e.g., B...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Universe |
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| Online Access: | https://www.mdpi.com/2218-1997/8/5/267 |
| _version_ | 1797494946620506112 |
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| author | Amir Shahmoradi Joshua Alexander Osborne Fatemeh Bagheri |
| author_facet | Amir Shahmoradi Joshua Alexander Osborne Fatemeh Bagheri |
| author_sort | Amir Shahmoradi |
| collection | DOAJ |
| description | The knowledge of the redshifts of Short-duration Gamma-Ray Bursts (SGRBs) is essential for constraining their cosmic rates and thereby the rates of related astrophysical phenomena, particularly Gravitational Wave Radiation (GWR) events. Many of the events detected by gamma-ray observatories (e.g., BATSE, Fermi, and Swift) lack experimentally measured redshifts. To remedy this, we present and discuss a generic data-driven probabilistic modeling framework to infer the unknown redshifts of SGRBs in the BATSE catalog. We further explain how the proposed probabilistic modeling technique can be applied to newer catalogs of SGRBs and other astronomical surveys to infer the missing data in the catalogs. |
| first_indexed | 2024-03-10T01:41:32Z |
| format | Article |
| id | doaj.art-9686390588ed4d7e8d3bf8c3b86756da |
| institution | Directory Open Access Journal |
| issn | 2218-1997 |
| language | English |
| last_indexed | 2024-03-10T01:41:32Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Universe |
| spelling | doaj.art-9686390588ed4d7e8d3bf8c3b86756da2023-11-23T13:24:09ZengMDPI AGUniverse2218-19972022-04-018526710.3390/universe8050267Bayesian Methods for Inferring Missing Data in the BATSE Catalog of Short Gamma-Ray BurstsAmir Shahmoradi0Joshua Alexander Osborne1Fatemeh Bagheri2Department of Physics, The University of Texas, Arlington, TX 76010, USADepartment of Physics, The University of Texas, Arlington, TX 76010, USADepartment of Physics, The University of Texas, Arlington, TX 76010, USAThe knowledge of the redshifts of Short-duration Gamma-Ray Bursts (SGRBs) is essential for constraining their cosmic rates and thereby the rates of related astrophysical phenomena, particularly Gravitational Wave Radiation (GWR) events. Many of the events detected by gamma-ray observatories (e.g., BATSE, Fermi, and Swift) lack experimentally measured redshifts. To remedy this, we present and discuss a generic data-driven probabilistic modeling framework to infer the unknown redshifts of SGRBs in the BATSE catalog. We further explain how the proposed probabilistic modeling technique can be applied to newer catalogs of SGRBs and other astronomical surveys to infer the missing data in the catalogs.https://www.mdpi.com/2218-1997/8/5/267gamma-ray burstsdetectorsstatistics |
| spellingShingle | Amir Shahmoradi Joshua Alexander Osborne Fatemeh Bagheri Bayesian Methods for Inferring Missing Data in the BATSE Catalog of Short Gamma-Ray Bursts Universe gamma-ray bursts detectors statistics |
| title | Bayesian Methods for Inferring Missing Data in the BATSE Catalog of Short Gamma-Ray Bursts |
| title_full | Bayesian Methods for Inferring Missing Data in the BATSE Catalog of Short Gamma-Ray Bursts |
| title_fullStr | Bayesian Methods for Inferring Missing Data in the BATSE Catalog of Short Gamma-Ray Bursts |
| title_full_unstemmed | Bayesian Methods for Inferring Missing Data in the BATSE Catalog of Short Gamma-Ray Bursts |
| title_short | Bayesian Methods for Inferring Missing Data in the BATSE Catalog of Short Gamma-Ray Bursts |
| title_sort | bayesian methods for inferring missing data in the batse catalog of short gamma ray bursts |
| topic | gamma-ray bursts detectors statistics |
| url | https://www.mdpi.com/2218-1997/8/5/267 |
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