Simulations on high-z long gamma-ray burst rate

Simulations on high-z long gamma-ray burst rate
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高z长伽马射线爆发率的模拟

DOI:
10.1111/j.1365-2966.2010.16691.x
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发表时间:
2009-12
影响因子:
4.8
通讯作者:
Wei, Jian-Yan
Wei, Jian-Yan
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Lu, Rui-Jing;Zhang, Shuang-Nan;Liang, En-Wei;Qin, Shu-Fu;Wei, Jian-Yan

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自Swift卫星发射以来,高z(z > 4)长伽玛射线暴(LGRB)的探测量一直在迅速增长,甚至接近极早期宇宙(目前的记录保持器是z= 8.3)。观测到的高z LGRB率显示出显着超过估计的星星形成历史。我们调查可能是负责这种高生产力的伽玛暴在高Z通过Monte Carlo模拟,有效的雨燕/突发警报望远镜(BAT)触发和红移检测概率的基础上,目前的雨燕/BAT样品和康普顿伽玛射线天文台/突发和瞬态源实验LGRB样品。我们通过logN-logP,峰值光度(L)和红移分布将我们的模拟与Swift观测进行比较。在LGRB率与星星形成率完全成正比的情况下,我们的模拟很难再现z > 4时的LGRB率,尽管模拟的log N-log P分布与观测的分布很好地吻合。假设高z伽玛暴率的增加是由于宇宙金属丰度演化或未知的LGRB率增加(1 +z)δ参数化的结果,我们发现,虽然这两种情况单独可以提高我们的模拟和观测之间的一致性,但将它们结合起来可以提供更好的一致性。我们得到0.2 4(基于我们的模拟,目前Swift LGRB样本中GRB的约15%),Swift和即将到来的天基多波段天文变量对象监视器任务打开了非常早期宇宙的窗口。
Since the launch of Swift satellite, the detections of high-z (z > 4) long gamma-ray bursts (LGRBs) have been rapidly growing, even approaching the very early Universe (the record holder currently is z= 8.3). The observed high-z LGRB rate shows significant excess over that estimated from the star formation history. We investigate what may be responsible for this high productivity of GRBs at high-z through Monte Carlo simulations, with effective Swift/Burst Alert Telescope (BAT) trigger and redshift detection probabilities based on current Swift/BAT sample and Compton Gamma-ray Observatory/Burst and Transient Source Experiment LGRB sample. We compare our simulations to the Swift observations via log N– log P, peak luminosity (L) and redshift distributions. In the case that LGRB rate is purely proportional to the star formation rate, our simulations poorly reproduce the LGRB rate at z > 4, although the simulated log N– log P distribution is in good agreement with the observed one. Assuming that the excess of high-z GRB rate is due to the cosmic metallicity evolution or unknown LGRB rate increase parametrized as (1 +z)δ, we find that although the two scenarios alone can improve the consistency between our simulations and observations, incorporation of them gives much better consistency. We get 0.2 4 (∼15 per cent of GRBs in current Swift LGRB sample based on our simulations), a window for very early Universe is opening by Swift and up-coming space-based multiband astronomical variable object monitor missions.
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