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arXiv 1111.0007astro-ph.HEastro-ph.CO
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瞬态射电天空的修正观点

A Revised View of the Transient Radio Sky

D. A. Frail, S. R. Kulkarni, E. O. Ofek, G. C. Bower, E. Nakar

摘要:

我们报告的档案数据的重新分析从甚大阵列的样本十个长时间无线电瞬变报告鲍尔和其他人。这些瞬变有一个隐含的全天速率,这将使它们成为天空中最常见的无线电瞬变,但大多数在其他波长没有静止的对应物,因此没有已知的祖先(除了银河系中子星)。我们发现,超过一半的这些瞬态是由于罕见的数据文物。其余的源具有比最初报告的低1至1.5西格玛的信噪比(SNR)。SNR的这种降低非常重要,因为源处于阈值。我们无法明确地解释这些差异。通过两个正交标准,一个源似乎是一个很好的检测。因此,在没有光学对应物的情况下,长时间无线电瞬变的速率充其量与最近发现的斯威夫特J1644+57核无线电瞬变的速率相当。我们重新审视了已知的和预期的长时间无线电瞬变类,并得出结论,动态无线电天空仍然是一个丰富的领域,进一步探索。根据过去搜索无线电瞬变的经验,我们建议未来的调查更加关注罕见的数据错误,并确保在无线电观测之前提供丰富的敏感多波长数据,无线电搜索应该有保证的后续资源。

英文摘要:

We report on a re-analysis of archival data from the Very Large Array for a sample of ten long duration radio transients reported by Bower and others. These transients have an implied all-sky rate that would make them the most common radio transient in the sky and yet most have no quiescent counterparts at other wavelengths and therefore no known progenitor (other than Galactic neutron stars). We find that more than half of these transients are due to rare data artifacts. The remaining sources have lower signal-to-noise ratio (SNR) than initially reported by 1 to 1.5-sigma. This lowering of SNR matters greatly since the sources are at the threshold. We are unable to decisively account for the differences. By two orthogonal criteria one source appears to be a good detection. Thus the rate of long duration radio transients without optical counterparts is, at best, comparable to that of the class of recently discovered Swift J1644+57 nuclear radio transients. We revisit the known and expected classes of long duration radio transients and conclude that the dynamic radio sky remains a rich area for further exploration. Informed by the experience of past searches for radio transients, we suggest that future surveys pay closer attention to rare data errors and ensure that a wealth of sensitive multi-wavelength data be available in advance of the radio observations and that the radio searches should have assured follow-up resources.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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