The Herschel SPIRE Fourier Transform Spectrometer Spectral Feature Finder IV. Neutral Carbon Detection in the SPIRE FTS Spectra
Jeremy P. Scott, Locke D. Spencer, Rosalind Hopwood, Ivan Valtchanov,, David A. Naylor

TL;DR
This paper presents an automated routine for detecting neutral carbon emission lines in Herschel SPIRE FTS spectra, addressing challenges of low amplitude and line blending in astrophysical data.
Contribution
The paper introduces and validates a new sub-routine within the spectral feature finder specifically designed for neutral carbon line detection in SPIRE FTS spectra.
Findings
Successfully detects neutral carbon lines in complex spectra
Improves automation in spectral feature identification
Addresses low signal amplitude and line blending issues
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 P - P and P - P 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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
