论文标题

快速无线电爆发的多大波长度对应

The multiwavelength counterparts of fast radio bursts

论文作者

Chen, Ge, Ravi, Vikram, Lu, Wenbin

论文摘要

产生外乳外快速无线电爆发(FRB)的发动机以及产生发射的机制,尚不清楚。许多FRB模型预测了促使多波长对应物,可以用来完善我们对FRB现象基本面的了解。但是,以前对及时FRB对应物的有针对性的搜索未产生检测,并且还没有对预测达到足够的敏感性。在这项工作中,我们演示了一种估计FRB对应物在各种波长的能量输出与无线电波长发射之间的比率$η$的技术。我们的技术结合了FRB种群的通知分布与几个宽场盲调查结果,从光学频段到TEV频段的快速瞬变。我们对$η$提出了限制,即使在现有调查中的所有未分类的瞬态事件都是FRB对应的情况下,也可以改善以前的观察结果。在某些情况下,对于FRB发动机和排放机制,我们发现应该已经检测到FRB对应物,从而证明我们的技术可以成功地测试$η$的预测。但是,FRB对应物可能潜伏在未分类的瞬态事件的目录中。尽管我们的技术对FRB通量分布中当前的不确定性具有鲁棒性,但其在准确估算或绑定的$η$中的最终应用将需要仔细分析多波长调查数据集中所有候选快速频率事件。

The engines that produce extragalactic fast radio bursts (FRBs), and the mechanism by which the emission is generated, remain unknown. Many FRB models predict prompt multi-wavelength counterparts, which can be used to refine our knowledge of these fundamentals of the FRB phenomenon. However, several previous targeted searches for prompt FRB counterparts have yielded no detections, and have additionally not reached sufficient sensitivity with respect to the predictions. In this work, we demonstrate a technique to estimate the ratio, $η$, between the energy outputs of FRB counterparts at various wavelengths and the radio-wavelength emission. Our technique combines the fluence distribution of the FRB population with results from several wide-field blind surveys for fast transients from the optical to the TeV bands. We present constraints on $η$ that improve upon previous observations even in the case that all unclassified transient events in existing surveys are FRB counterparts. In some scenarios for the FRB engine and emission mechanism, we find that FRB counterparts should have already been detected, thus demonstrating that our technique can successfully test predictions for $η$. However, it is possible that FRB counterparts are lurking amongst catalogs of unclassified transient events. Although our technique is robust to the present uncertainty in the FRB fluence distribution, its ultimate application to accurately estimate or bound $η$ will require the careful analysis of all candidate fast-transient events in multi-wavelength survey data sets.

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