论文标题

FastCC:宽带射电望远镜数据的快速颜色校正

Fastcc: fast colour corrections for broadband radio telescope data

论文作者

Peel, Mike W., Genova-Santos, Ricardo, Dickinson, C., Leahy, J. P., López-Caraballo, Carlos, Fernández-Torreiro, M., Rubiño-Martín, J. A., Spencer, Locke D.

论文摘要

宽带接收器数据需要适用的颜色校正,以校正其宽带宽度的不同源光谱。当重复多次时,接收器带通的完整集成在计算上可能是昂贵且多余的。但是,可以使用基于完整集成的简单二次拟合来应用颜色校正。在这里,我们描述了FastCC和InterPCC,快速Python和IDL代码,这些代码分别返回了不同幂律光谱指数的色彩校正系数以及各种宇宙微波背景相关实验的黑体。这些代码已公开可用,可以轻松扩展以支持其他望远镜。

Broadband receiver data need colour corrections applying to correct for the different source spectra across their wide bandwidths. The full integration over a receiver bandpass may be computationally expensive and redundant when repeated many times. Colour corrections can be applied, however, using a simple quadratic fit based on the full integration instead. Here we describe fastcc and interpcc, quick Python and IDL codes that return, respectively, colour correction coefficients for different power-law spectral indices and modified black bodies for various Cosmic Microwave Background related experiments. The codes are publicly available, and can be easily extended to support additional telescopes.

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