论文标题
使用Swift观察到的Long-Gamma Ray爆发来估算恒星形成速率
Estimation of the Star Formation Rate using Long-Gamma Ray Burst observed by SWIFT
论文作者
论文摘要
在这项工作中，我们估计了由Swift检测到的333个长grb的恒星形成率（SFR）。该研究基于Yüksel等人提出的经验模型。 （2008年），基本上，使用长grb估算了SFR，因为它们具有基于折叠模型或大型恒星（Hypernova）折叠的出色起源（Hypernova）$ M> 20 m _ {\ bigodot} $。 The analysis starts with the study of $\varepsilon (z)$ which accounts the long-GRBs production rate and it is parameterized by $\varepsilon(z)=\varepsilon_{0}(1+z)^δ $ where $\varepsilon_{0}$ include the SFR absolute conversion to GRBs rate in a luminosity range already defined and $δ$ is a dynamical parameter which changes在红移的不同区域，IT解释了通过对长期样本的线性回归分析获得的SFR斜率，获得的结果提供了证据，以支持我们使用长GRBS作为SFR的示踪剂的建议。
In this work we estimate the Star Formation Rate (SFR) through 333 Long-GRBs detected by Swift. This investigation is based on the empirical model proposed by Yüksel et al. (2008), basically, the SFR is estimated using long-GRBs considering that they have an stellar origin based on the Collapsar model or the collapse of massive stars (Hypernova) $M>20 M_{\bigodot} $. The analysis starts with the study of $\varepsilon (z)$ which accounts the long-GRBs production rate and it is parameterized by $\varepsilon(z)=\varepsilon_{0}(1+z)^δ $ where $\varepsilon_{0}$ include the SFR absolute conversion to GRBs rate in a luminosity range already defined and $δ$ is a dynamical parameter which changes at different regions of redshift it accounts the SFR slope which is obtained by an analysis of linear regression over our Long-GRBs sample, the results obtained provide evidence that support our proposal to use Long-GRBs as tracers of SFR.
