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Unveiling the Multifaceted GRB 200613A: Prompt Emission Dynamics, Afterglow Evolution, and the Host Galaxy's Properties
We present our optical observations and multi-wavelength analysis of the GRB\,200613A detected by \texttt{Fermi} satellite. Time-resolved spectral analysis of the prompt \(\gamma\)-ray emission was conducted utilizing the Bayesian block method to determine statistically optimal time bins. Based on t...
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creator | Shao-Yu, Fu Xu, Dong Wei-Hua, Lei Antonio de Ugarte Postigo Kann, D Alexander Thöne, Christina C José Feliciano Agüí Fernández Shuang-Xi, Yi Xie, Wei Zou, Yuan-Chuan Liu, Xing Shuai-Qing Jiang Tian-Hua, Lu An, Jie Zi-Pei Zhu Zheng, Jie Qing-Wen Tang Peng-Wei, Zhao Li-Ping, Xin Jian-Yan, Wei |
description | We present our optical observations and multi-wavelength analysis of the GRB\,200613A detected by \texttt{Fermi} satellite. Time-resolved spectral analysis of the prompt \(\gamma\)-ray emission was conducted utilizing the Bayesian block method to determine statistically optimal time bins. Based on the Bayesian Information Criterion (BIC), the data generally favor the Band+Blackbody (short as BB) model. We speculate that the main Band component comes from the Blandford-Znajek mechanism, while the additional BB component comes from the neutrino annihilation process. The BB component becomes significant for a low-spin, high-accretion rate black hole central engine, as evidenced by our model comparison with the data. The afterglow light curve exhibits typical power-law decay, and its behavior can be explained by the collision between the ejecta and constant interstellar medium (ISM). Model fitting yields the following parameters: \(E_{K,iso} = (2.04^{+11.8}_{-1.50})\times 10^{53}\) erg, \(\Gamma_0=354^{+578}_{-217}\), \(p=2.09^{+0.02}_{-0.03}\), \(n_{18}=(2.04^{+9.71}_{-1.87})\times 10^{2}\) cm\(^{-3}\), \(\theta_j=24.0^{+6.50}_{-5.54}\) degree, \(\epsilon_e=1.66^{+4.09}_{-1.39})\times 10^{-1}\) and \(\epsilon_B=(7.76^{+48.5}_{-5.9})\times 10^{-6}\). In addition, we employed the public Python package \texttt{Prospector} perform a spectral energy distribution (SED) modeling of the host galaxy. The results suggest that the host galaxy is a massive galaxy (\(\log(M_\ast / M_\odot)=11.75^{+0.10}_{-0.09}\)) with moderate star formation rate (\(\mbox{SFR}=22.58^{+13.63}_{-7.22} M_{\odot}\)/yr). This SFR is consistent with the SFR of \(\sim 34.2 M_{\odot}\) yr\(^{-1}\) derived from the [OII] emission line in the observed spectrum. |
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Time-resolved spectral analysis of the prompt \(\gamma\)-ray emission was conducted utilizing the Bayesian block method to determine statistically optimal time bins. Based on the Bayesian Information Criterion (BIC), the data generally favor the Band+Blackbody (short as BB) model. We speculate that the main Band component comes from the Blandford-Znajek mechanism, while the additional BB component comes from the neutrino annihilation process. The BB component becomes significant for a low-spin, high-accretion rate black hole central engine, as evidenced by our model comparison with the data. The afterglow light curve exhibits typical power-law decay, and its behavior can be explained by the collision between the ejecta and constant interstellar medium (ISM). Model fitting yields the following parameters: \(E_{K,iso} = (2.04^{+11.8}_{-1.50})\times 10^{53}\) erg, \(\Gamma_0=354^{+578}_{-217}\), \(p=2.09^{+0.02}_{-0.03}\), \(n_{18}=(2.04^{+9.71}_{-1.87})\times 10^{2}\) cm\(^{-3}\), \(\theta_j=24.0^{+6.50}_{-5.54}\) degree, \(\epsilon_e=1.66^{+4.09}_{-1.39})\times 10^{-1}\) and \(\epsilon_B=(7.76^{+48.5}_{-5.9})\times 10^{-6}\). In addition, we employed the public Python package \texttt{Prospector} perform a spectral energy distribution (SED) modeling of the host galaxy. The results suggest that the host galaxy is a massive galaxy (\(\log(M_\ast / M_\odot)=11.75^{+0.10}_{-0.09}\)) with moderate star formation rate (\(\mbox{SFR}=22.58^{+13.63}_{-7.22} M_{\odot}\)/yr). This SFR is consistent with the SFR of \(\sim 34.2 M_{\odot}\) yr\(^{-1}\) derived from the [OII] emission line in the observed spectrum.</description><identifier>EISSN: 2331-8422</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Afterglows ; Astronomical models ; Bayesian analysis ; Blackbody ; Ejecta ; Emission ; Galactic evolution ; Galaxy distribution ; Gamma ray bursts ; Interstellar matter ; Light curve ; Neutrinos ; Optical properties ; Spectral energy distribution ; Spectrum analysis ; Star & galaxy formation ; Star formation rate</subject><ispartof>arXiv.org, 2024-07</ispartof><rights>2024. This work is published under http://creativecommons.org/publicdomain/zero/1.0/ (the “License”). 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Time-resolved spectral analysis of the prompt \(\gamma\)-ray emission was conducted utilizing the Bayesian block method to determine statistically optimal time bins. Based on the Bayesian Information Criterion (BIC), the data generally favor the Band+Blackbody (short as BB) model. We speculate that the main Band component comes from the Blandford-Znajek mechanism, while the additional BB component comes from the neutrino annihilation process. The BB component becomes significant for a low-spin, high-accretion rate black hole central engine, as evidenced by our model comparison with the data. The afterglow light curve exhibits typical power-law decay, and its behavior can be explained by the collision between the ejecta and constant interstellar medium (ISM). Model fitting yields the following parameters: \(E_{K,iso} = (2.04^{+11.8}_{-1.50})\times 10^{53}\) erg, \(\Gamma_0=354^{+578}_{-217}\), \(p=2.09^{+0.02}_{-0.03}\), \(n_{18}=(2.04^{+9.71}_{-1.87})\times 10^{2}\) cm\(^{-3}\), \(\theta_j=24.0^{+6.50}_{-5.54}\) degree, \(\epsilon_e=1.66^{+4.09}_{-1.39})\times 10^{-1}\) and \(\epsilon_B=(7.76^{+48.5}_{-5.9})\times 10^{-6}\). In addition, we employed the public Python package \texttt{Prospector} perform a spectral energy distribution (SED) modeling of the host galaxy. The results suggest that the host galaxy is a massive galaxy (\(\log(M_\ast / M_\odot)=11.75^{+0.10}_{-0.09}\)) with moderate star formation rate (\(\mbox{SFR}=22.58^{+13.63}_{-7.22} M_{\odot}\)/yr). 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Time-resolved spectral analysis of the prompt \(\gamma\)-ray emission was conducted utilizing the Bayesian block method to determine statistically optimal time bins. Based on the Bayesian Information Criterion (BIC), the data generally favor the Band+Blackbody (short as BB) model. We speculate that the main Band component comes from the Blandford-Znajek mechanism, while the additional BB component comes from the neutrino annihilation process. The BB component becomes significant for a low-spin, high-accretion rate black hole central engine, as evidenced by our model comparison with the data. The afterglow light curve exhibits typical power-law decay, and its behavior can be explained by the collision between the ejecta and constant interstellar medium (ISM). Model fitting yields the following parameters: \(E_{K,iso} = (2.04^{+11.8}_{-1.50})\times 10^{53}\) erg, \(\Gamma_0=354^{+578}_{-217}\), \(p=2.09^{+0.02}_{-0.03}\), \(n_{18}=(2.04^{+9.71}_{-1.87})\times 10^{2}\) cm\(^{-3}\), \(\theta_j=24.0^{+6.50}_{-5.54}\) degree, \(\epsilon_e=1.66^{+4.09}_{-1.39})\times 10^{-1}\) and \(\epsilon_B=(7.76^{+48.5}_{-5.9})\times 10^{-6}\). In addition, we employed the public Python package \texttt{Prospector} perform a spectral energy distribution (SED) modeling of the host galaxy. The results suggest that the host galaxy is a massive galaxy (\(\log(M_\ast / M_\odot)=11.75^{+0.10}_{-0.09}\)) with moderate star formation rate (\(\mbox{SFR}=22.58^{+13.63}_{-7.22} M_{\odot}\)/yr). This SFR is consistent with the SFR of \(\sim 34.2 M_{\odot}\) yr\(^{-1}\) derived from the [OII] emission line in the observed spectrum.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><oa>free_for_read</oa></addata></record> |
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subjects | Afterglows Astronomical models Bayesian analysis Blackbody Ejecta Emission Galactic evolution Galaxy distribution Gamma ray bursts Interstellar matter Light curve Neutrinos Optical properties Spectral energy distribution Spectrum analysis Star & galaxy formation Star formation rate |
title | Unveiling the Multifaceted GRB 200613A: Prompt Emission Dynamics, Afterglow Evolution, and the Host Galaxy's Properties |
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