论文标题

快速无线电重组线的基线校正:经过修改的惩罚最小二乘平滑技术

Baseline correction for FAST radio recombination lines: a modified penalized least squares smoothing technique

论文作者

Liu, Bin, Wang, Lixin, Wang, Junzhi, Peng, Bo, Wang, Hongjun

论文摘要

使用五百米的光圈球形望远镜(FAST),已经在银河平面上绘制了一个试点项目,以在银河平面上绘制1度$^2 $。动机是验证大规模银河平面RRL调查的技术和可靠性,以快速调查银河系中的电离环境。数据表明,快速19束L波段的带通受到射频干扰(RFIS)和驻波纹波的严重影响,而传统的低阶多项式多项式几乎无法纠正。在本文中,我们研究了一系列基于最低方形(PLS)的基线校正方法,用于射电天文光谱,该光谱通常包含具有高噪声的弱信号。评估了三种有前途的最小二乘方法,ASL,ARPL和ASPLS。采用其优势,开发了一种名为RRLPLS的修改方法,以优化我们RRL光谱的基线拟合。为了检查其有效性,通过模拟测试了这四种方法,并使用观察到的数据集进行了进一步验证。事实证明,具有优化参数$λ= 2 \ times 10^8 $的RRLPLS方法揭示了RRL映射中最敏感和可靠的发射特征。通过将人造线概况注入实际数据立方体,对RRLPLS进行了进一步评估。与模拟信号相比,信噪比低的处理线受到较小的影响,其中不确定性主要由RMS噪声引起。 RRLPLS方法将用于快速RRL调查的未来数据处理管道中的基线校正。使用适当的参数配置,在此工作中验证的RRLPLS技术也可以用于其他光谱项目。

A pilot project has been proceeded to map 1 deg$^2$ on the Galactic plane for radio recombination lines (RRLs) using the Five hundred meter Aperture Spherical Telescope (FAST). The motivation is to verify the techniques and reliabilities for a large-scale Galactic plane RRL survey with FAST aiming to investigate the ionized environment in the Galaxy. The data shows that the bandpass of the FAST 19 beam L-band is severely affected by radio frequency interferences (RFIs) and standing wave ripples, which can hardly be corrected by traditional low order polynomials. In this paper, we investigate a series of penalized least square (PLS) based baseline correction methods for radio astronomical spectra that usually contain weak signals with high level of noise. Three promising penalized least squares based methods, AsLS, arPLS, and asPLS are evaluated. Adopting their advantages, a modified method named rrlPLS is developed to optimize the baseline fitting to our RRL spectra. To check their effectiveness, the four methods are tested by simulations and further verified using observed data sets. It turns out that the rrlPLS method, with optimized parameter $λ= 2 \times 10^8$ , reveals the most sensitive and reliable emission features in the RRL map. By injecting artificial line profiles into the real data cube, a further evaluation of profile distortion is conducted for rrlPLS. Comparing to simulated signals, the processed lines with low signal-to-noise ratio are less affected, of which the uncertainties are mainly caused by the rms noise. The rrlPLS method will be applied for baseline correction in future data processing pipeline of FAST RRL survey. Configured with proper parameters, the rrlPLS technique verified in this work may also be used for other spectroscopy projects.

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