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arXiv 0706.0657astro-ph
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用Swift探测甚高红移伽马射线暴

On the detection of very high redshift Gamma Ray Bursts with Swift

R. Salvaterra, S. Campana, G. Chincarini, G. Tagliaferri, S. Covino

摘要:

我们计算的概率检测长伽马射线暴(GRB)在z>5与斯威夫特,假设GRB的形式优先在低金属环境。该模型很好地拟合了观测到的BATSE和Swift GRB微分峰值通量分布,并与2年Swift数据中z>2.5的探测次数一致。我们发现,当光子通量P<1 ph s^{-1} cm^{-2}时,观测到z>5处爆发的概率大于10%,这与已确认的探测数量一致。在雨燕星表中,z>5的爆发所占的比例约为10%-30%,这取决于所采用的伽玛暴形成的金属丰度阈值。我们建议使用计算的概率作为一种工具,以确定高红移伽玛暴。通过联合考虑Swift提供的可靠信息和模型结果,我们可以在几个小时内从BAT检测中选择可靠的z>5候选者。我们根据去年的Swift数据测试了这个过程:只有三个爆发符合我们的所有要求,其中两个在z>5时得到了确认。其他三个可能的候选人是通过稍微放宽所采用的标准挑选出来的。在六个候选者中没有发现低z闯入者。

英文摘要:

We compute the probability to detect long Gamma Ray Bursts (GRBs) at z>5 with Swift, assuming that GRBs form preferentially in low-metallicity environments. The model fits well both the observed BATSE and Swift GRB differential peak flux distribution and is consistent with the number of z>2.5 detections in the 2-year Swift data. We find that the probability to observe a burst at z>5 becomes larger than 10% for photon fluxes P<1 ph s^{-1} cm^{-2}, consistent with the number of confirmed detections. The corresponding fraction of z>5 bursts in the Swift catalog is ~10%-30% depending on the adopted metallicity threshold for GRB formation. We propose to use the computed probability as a tool to identify high redshift GRBs. By jointly considering promptly-available information provided by Swift and model results, we can select reliable z>5 candidates in a few hours from the BAT detection. We test the procedure against last year Swift data: only three bursts match all our requirements, two being confirmed at z>5. Other three possible candidates are picked up by slightly relaxing the adopted criteria. No low-z interloper is found among the six candidates.

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