2019
DOI: 10.1051/0004-6361/201936037
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Fingerprinting the effects of hyperfine structure on CH and OH far infrared spectra using Wiener filter deconvolution

Abstract: Context. Despite being a commonly observed feature, the modification of the velocity structure in spectral line profiles by hyperfine structure complicates the interpretation of spectroscopic data. This is particularly true for observations of simple molecules such as CH and OH toward the inner Galaxy, which show a great deal of velocity crowding. Aims. In this paper, we investigate the influence of hyperfine splitting on complex spectral lines, with the aim of evaluating canonical abundances by decomposing th… Show more

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Cited by 19 publications
(37 citation statements)
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References 59 publications
(72 reference statements)
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“…where T l and T c represent the observed brightness temperatures of the line (prior to continuum subtraction) and the continuum, respectively. We determined the optical depth profile, that is, τ versus υ LSR , using the Wiener filter fitting technique as described in Jacob et al (2019). This fitting procedure first fits the observed spectral profile by minimising the mean square error between the model and observations and then deconvolves the hyperfine structure from the observed spectrum using the relative weights of the hfs components.…”
Section: Analysis and Discussionmentioning
confidence: 99%
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“…where T l and T c represent the observed brightness temperatures of the line (prior to continuum subtraction) and the continuum, respectively. We determined the optical depth profile, that is, τ versus υ LSR , using the Wiener filter fitting technique as described in Jacob et al (2019). This fitting procedure first fits the observed spectral profile by minimising the mean square error between the model and observations and then deconvolves the hyperfine structure from the observed spectrum using the relative weights of the hfs components.…”
Section: Analysis and Discussionmentioning
confidence: 99%
“…We assumed a 10% error in the continuum level calibration based on the instrumental performance (Kester et al 2017) and sideband dependence of the atmospheric transmission. The subsequently derived errors in the column densities (per velocity interval) were computed following the description presented in Jacob et al (2019) and scale with the deconvolved optical depths by a constant term comprised of the spectroscopic parameters that govern the transition and the excitation temperature. We compare the 13 CH column densities derived here, over velocity intervals associated with the different molecular clouds, with those of their corresponding N, J = 2, 3/2 → 1, 1/2 hfs transitions of CH near 2007 GHz discussed in Wiesemeyer et al (2018) and Jacob et al (2019).…”
Section: Analysis and Discussionmentioning
confidence: 99%
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