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Methods for Averaging Spectral Line Data
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DOI：10.1088/1538-3873/ad0444.png)
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Abstract
En 中文
The ideal spectral averaging method depends on one's science goals and the available information about one's data. Including low-quality data in the average can decrease the signal-to-noise ratio (S/N), which may necessitate an optimization method or a consideration of different weighting schemes. Here, we explore a variety of spectral averaging methods. We investigate the use of three weighting schemes during averaging: weighting by the signal divided by the variance (intensity-noise weighting), weighting by the inverse of the variance (noise weighting), and uniform weighting. Whereas for intensity-noise weighting the S/N is maximized when all spectra are averaged, for noise and uniform weighting we find that averaging the 35%-45% of spectra with the highest S/N results in the highest S/N average spectrum. With this intensity cutoff, the average spectrum with noise or uniform weighting has similar to 95% of the intensity of the spectrum created from intensity-noise weighting. We apply our spectral averaging methods to GBT Diffuse Ionized Gas hydrogen radio recombination line data to determine the ionic abundance ratio, y +, and discuss future applications of the methodology.
Keywords:
WAY INTERSTELLAR-MEDIUM
DIFFUSE IONIZED-GAS
HE-3
Journal
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7.7
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4.0K
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