Preliminary analysis on the noise characteristics of MWISP data
arXiv:2109.12483 · doi:10.1088/1674-4527/21/12/304
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°.7 to 43°.3 and b = -2°.3 to 0°.3 and found that noise in the final mosaicked datacube is mainly characterized by noise fluctuation among the cells.
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