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arXiv · 2109.12483

Preliminary analysis on the noise characteristics of MWISP data

Jia-Jun Cai·Ji Yang·Sheng Zheng·Qing-Zeng Yan·Shaobo Zhang·Xin Zhou·Haoran Feng
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Abstract

Noise is a significant part within a millimeter-wave molecular line datacube. Analyzing the noise improves our understanding of noise characteristics, and further contributes to scientific discoveries. We measure the noise level of a single datacube from MWISP and perform statistical analyses. We identified major factors which increase the noise level of a single datacube, including bad channels, edge effects, baseline distortion and line contamination. Cleaning algorithms are applied to remove or reduce these noise components. As a result, we obtained the cleaned datacube in which noise follows a positively skewed normal distribution. We further analyzed the noise structure distribution of a 3D mosaicked datacube in the range l = 40{\deg}.7 to 43{\deg}.3 and b = -2{\deg}.3 to 0{\deg}.3 and found that noise in the final mosaicked datacube is mainly characterized by noise fluctuation among the cells.

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Jia-Jun Cai, Ji Yang, Sheng Zheng, Qing-Zeng Yan, Shaobo Zhang, Xin Zhou, Haoran Feng. 2021-09-26. Preliminary analysis on the noise characteristics of MWISP data. https://doi.org/10.1088/1674-4527%2F21%2F12%2F304

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