中IR /远IR盲、广域、频谱测量在突破混淆极限中的有效性
The Effectiveness of Mid IR / Far IR Blind, Wide Area, Spectral Surveys in Breaking the Confusion Limit
摘要：
源混淆定义了进行大面积河外勘测的实际深度。然而，具有位置和光谱信息的3D成像光谱仪潜在地提供了一种使用线发射来打破传统混淆限制的手段。在本文中，我们提出了我们的调查中/远红外，广域光谱调查的有效性，在打破混乱的限制。我们使用SAFARI，一个FIR成像傅里叶变换光谱仪的概念，建议JAXA领导的SPICA任务，作为一个测试案例。我们生成代表100个SAFARI足迹的人造天空，并使用全自动红移测定方法来检索亮端和爆发模式星系演化模型的空间和光谱混乱源的红移。我们发现，我们能够检索准确的红移为38/54%的最明亮的光谱混淆源，与连续通量高达一个数量级低于120 $μ$米光度混淆限制。此外，我们还恢复准确的红移的38/29%的第二明亮的光谱混乱的来源。我们的研究结果表明，深，谱线调查与SAFARI可以打破传统的光度混乱的限制，也将不仅解决，但提供红移，大量的以前无法访问的星系。最后，我们讨论了一些技术的局限性，以及进一步的工作。
英文摘要：
Source confusion defines a practical depth to which to take large-area extragalactic surveys. 3D imaging spectrometers with positional as well as spectral information, however, potentially provide a means by which to use line emission to break the traditional confusion limit. In this paper we present the results of our investigation into the effectiveness of mid/far infrared, wide-area spectroscopic surveys in breaking the confusion limit. We use SAFARI, a FIR imaging Fourier Transform Spectrometer concept for the proposed JAXA-led SPICA mission, as a test case. We generate artificial skies representative of 100 SAFARI footprints and use a fully-automated redshift determination method to retrieve redshifts for both spatially and spectrally confused sources for bright-end and burst mode galaxy evolution models. We find we are able to retrieve accurate redshifts for 38/54% of the brightest spectrally confused sources, with continuum fluxes as much as an order of magnitude below the 120 $μ$m photometric confusion limit. In addition we also recover accurate redshifts for 38/29% of the second brightest spectrally confused sources. Our results suggest that deep, spectral line surveys with SAFARI can break the traditional photometric confusion limit, and will also not only resolve, but provide redshifts for, a large number of previously inaccessible galaxies. To conclude we discuss some of the limitations of the technique, as well as further work.
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。
