Robust photometric redshift determinations of gamma-ray burst afterglows at z greater than or similar to 2
Context. Theory suggests that about 10% of Swift-detected gamma-ray bursts (GRBs) will originate at redshifts, z, greater than 5 yeta number of high redshift candidates may be left unconfirmed due to the lack of measured redshifts.Aims. Here we introduce our code, GRBz, a method of simultaneous mult...
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| Format: | Journal Article |
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EDP Sciences
2008
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| Online Access: | http://www.aanda.org/articles/aa/pdf/2008/42/aa10545-08.pdf http://hdl.handle.net/20.500.11937/10487 |
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| author | Curran, Peter Wijers, R. Heemskerk, M. Starling, R. Wiersema, K. van der Horst, A. |
| author_facet | Curran, Peter Wijers, R. Heemskerk, M. Starling, R. Wiersema, K. van der Horst, A. |
| author_sort | Curran, Peter |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Context. Theory suggests that about 10% of Swift-detected gamma-ray bursts (GRBs) will originate at redshifts, z, greater than 5 yeta number of high redshift candidates may be left unconfirmed due to the lack of measured redshifts.Aims. Here we introduce our code, GRBz, a method of simultaneous multi-parameter fitting of GRB afterglow optical and nearinfrared, spectral energy distributions. It allows for early determinations of the photometric redshift, spectral index and host extinctionto be made.Methods. We assume that GRB afterglow spectra are well represented by a power-law decay and model the effects of absorption dueto the Lyman forest and host extinction. We use a genetic algorithm-based routine to simultaneously fit the parameters of interest, anda Monte Carlo error analysis.Results. We use GRBs of previously determined spectroscopic redshifts to prove our method, while also introducing new near infrareddata of GRB 990510 which further constrains the value of the host extinction.Conclusions. Our method is effective in estimating the photometric redshift of GRBs, relatively unbiased by assumptions of theafterglow spectral index or the host galaxy extinction. Monte Carlo error analysis is required as the method of error estimate based onthe optimum population of the genetic algorithm underestimates errors significantly. |
| first_indexed | 2025-11-14T06:50:52Z |
| format | Journal Article |
| id | curtin-20.500.11937-10487 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:50:52Z |
| publishDate | 2008 |
| publisher | EDP Sciences |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-104872017-02-28T01:32:40Z Robust photometric redshift determinations of gamma-ray burst afterglows at z greater than or similar to 2 Curran, Peter Wijers, R. Heemskerk, M. Starling, R. Wiersema, K. van der Horst, A. techniques: photometric methods: data analysis gamma rays: bursts Context. Theory suggests that about 10% of Swift-detected gamma-ray bursts (GRBs) will originate at redshifts, z, greater than 5 yeta number of high redshift candidates may be left unconfirmed due to the lack of measured redshifts.Aims. Here we introduce our code, GRBz, a method of simultaneous multi-parameter fitting of GRB afterglow optical and nearinfrared, spectral energy distributions. It allows for early determinations of the photometric redshift, spectral index and host extinctionto be made.Methods. We assume that GRB afterglow spectra are well represented by a power-law decay and model the effects of absorption dueto the Lyman forest and host extinction. We use a genetic algorithm-based routine to simultaneously fit the parameters of interest, anda Monte Carlo error analysis.Results. We use GRBs of previously determined spectroscopic redshifts to prove our method, while also introducing new near infrareddata of GRB 990510 which further constrains the value of the host extinction.Conclusions. Our method is effective in estimating the photometric redshift of GRBs, relatively unbiased by assumptions of theafterglow spectral index or the host galaxy extinction. Monte Carlo error analysis is required as the method of error estimate based onthe optimum population of the genetic algorithm underestimates errors significantly. 2008 Journal Article http://hdl.handle.net/20.500.11937/10487 http://www.aanda.org/articles/aa/pdf/2008/42/aa10545-08.pdf EDP Sciences restricted |
| spellingShingle | techniques: photometric methods: data analysis gamma rays: bursts Curran, Peter Wijers, R. Heemskerk, M. Starling, R. Wiersema, K. van der Horst, A. Robust photometric redshift determinations of gamma-ray burst afterglows at z greater than or similar to 2 |
| title | Robust photometric redshift determinations of gamma-ray burst afterglows at z greater than or similar to 2 |
| title_full | Robust photometric redshift determinations of gamma-ray burst afterglows at z greater than or similar to 2 |
| title_fullStr | Robust photometric redshift determinations of gamma-ray burst afterglows at z greater than or similar to 2 |
| title_full_unstemmed | Robust photometric redshift determinations of gamma-ray burst afterglows at z greater than or similar to 2 |
| title_short | Robust photometric redshift determinations of gamma-ray burst afterglows at z greater than or similar to 2 |
| title_sort | robust photometric redshift determinations of gamma-ray burst afterglows at z greater than or similar to 2 |
| topic | techniques: photometric methods: data analysis gamma rays: bursts |
| url | http://www.aanda.org/articles/aa/pdf/2008/42/aa10545-08.pdf http://hdl.handle.net/20.500.11937/10487 |