1. The Herschel SPIRE Fourier Transform Spectrometer Spectral Feature Finder – IV. Neutral carbon detection in the SPIRE FTS spectra
- Author
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David A. Naylor, Locke D. Spencer, I. Valtchanov, Rosalind Hopwood, and Jeremy P. Scott
- Subjects
Physics ,010308 nuclear & particles physics ,business.industry ,Fourier transform spectrometers ,FOS: Physical sciences ,chemistry.chemical_element ,Astronomy and Astrophysics ,01 natural sciences ,Spectral line ,Spire ,Optics ,chemistry ,Space and Planetary Science ,Feature (computer vision) ,0103 physical sciences ,Astrophysics - Instrumentation and Methods for Astrophysics ,Spectral data ,business ,Instrumentation and Methods for Astrophysics (astro-ph.IM) ,010303 astronomy & astrophysics ,Carbon ,Feature detection (computer vision) ,Line (formation) - Abstract
The SPIRE FTS Spectral Feature Finder (FF), developed within the Herschel Spectral and Photometric Imaging Receiver (SPIRE) Fourier Transform Spectrometer (FTS) instrument team, is an automated spectral feature fitting routine that attempts to find significant features in SPIRE FTS spectra. The $^3$P$_1$ - $^3$P$_0$ and $^3$P$_2$ - $^3$P$_1$ neutral carbon fine structure lines are common features in carbon rich far-infrared astrophysical sources. These features can be difficult to detect using an automated feature detection routine due to their typically low amplitude and line blending. In this paper we describe and validate the FF sub-routine designed to detect the neutral carbon emission observed in SPIRE spectral data., 8 pages, 9 figures, 2 tables, final version accepted by MNRAS June 2020
- Published
- 2020