The Herschel SPIRE Fourier Transform Spectrometer Spectral Feature Finder I. The Spectral Feature Finder and Catalogue

Author:

Hopwood R12,Valtchanov I1ORCID,Spencer L D3ORCID,Scott J3,Benson C3ORCID,Marchili N4,Hładczuk N56,Polehampton E T7,Lu N8,Makiwa G3,Naylor D A3,Gom B G3,Noble G9,Griffin M J10

Affiliation:

1. Telespazio Vega UK for ESA, European Space Astronomy Centre, Operations Department, E-28691 Villanueva de la Cañada, Spain

2. Department of Physics, Imperial College London, Prince Consort Road, London SW7 2AZ, UK

3. Department of Physics & Astronomy, University of Lethbridge, Lethbridge, Alberta T1K 3M4, Canada

4. Istituto di Radioastronomia – INAF, Via Piero Gobetti 101, I-40129 Bologna, Italy

5. European Space Agency, ESAC, Camino Bajo del Castillo, E-28692 Villanueva de la Cañada, Madrid, Spain

6. Gran TeCan, S.A., Instituto de Astrofísica de Canarias, C/ Vía Láctea, S/N, 38205 San Cristóbal de La Laguna, S/C de Tenerife, Spain

7. RAL Space, Rutherford Appleton Laboratory, Chilton, Didcot, Oxfordshire OX11 0QX, UK

8. South American Center for Astronomy, CAS, Universidad de Chile, Camino El Observatorio #1515, Las Condes, Santiago 7591245, Chile

9. Department of Physics, McGill University, 3600 Rue University, Montreal, Quebec H3A 2T8, Canada

10. School of Physics and Astronomy, Cardiff University, The Parade, Cardiff CF24 3AA, UK

Abstract

ABSTRACT We provide a detailed description of the Herschel/SPIRE Fourier Transform Spectrometer (FTS) Spectral Feature Finder (FF). The FF is an automated process designed to extract significant spectral features from SPIRE FTS data products. Optimizing the number of features found in SPIRE-FTS spectra is challenging. The wide SPIRE-FTS frequency range (447–1568 GHz) leads to many molecular species and atomic fine structure lines falling within the observed bands. As the best spectral resolution of the SPIRE-FTS is ∼1.2 GHz, there can be significant line blending, depending on the source type. In order to find, both efficiently and reliably, features in spectra associated with a wide range of sources, the FF iteratively searches for peaks over a number of signal-to-noise ratio (SNR) thresholds. For each threshold, newly identified features are rigorously checked before being added to the fitting model. At the end of each iteration, the FF simultaneously fits the continuum and features found, with the resulting residual spectrum used in the next iteration. The final FF products report the frequency of the features found and the associated SNRs. Line flux determination is not included as part of the FF products, as extracting reliable line flux from SPIRE-FTS data is a complex process that requires careful evaluation and analysis of the spectra on a case-by-case basis. The FF results are 100 per cent complete for features with SNR greater than 10 and 50–70 per cent complete at SNR of 5. The FF code and all FF products are publicly available via the Herschel Science Archive.

Funder

Canadian Space Agency

Science and Technology Facilities Council

National Aeronautics and Space Administration

Natural Sciences and Engineering Research Council of Canada

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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