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Abstract
Driven by the imminent need to rapidly process and classify millions of AGN spectra drawn from next generation astronomical facilities, we present a spectral fitting routine for Type 2 AGN spectra optimized for high volume processing, using the QUASAR SPECTRAL FITTING library (QSFIT). We analyse an optically selected sample of 813 luminous Type 2 AGN spectra at z < 0.83 from the Sloan Digital Sky Survey (SDSS) to qualify its performance. We report a median narrow line H α/H β Balmer decrement of 4.5 ± 0.8, alluding to the presence of dust in the narrow line region (NLR). We publish a specialized QSFIT fitting routine for high signal-to-noise ratio spectra and general fitting routine for double peaked Type 2 AGN spectra applied on a subsample of 45 spectra from our parent sample. We report a median red and blue peak velocity separation of 390 ± 60 kms−1. No trend is found for red or blue peaks to exhibit systematically different luminosity or ionization properties. Emission line diagnostics show that the double peaks in all sources are illuminated by an AGN-powered ionizing continuum. Finally, we examine the morphology of host galaxies of our double peaked sample. We find double peaked Type 2 AGN reside in merging systems at a comparable frequency to single peaked AGN. This suggests that the double peaked AGN phenomenon is likely to have a bi-conical outflow origin in the majority of cases. We publicly release the code used for spectral analysis and produced catalogues used in this work.
| Original language | English |
|---|---|
| Pages (from-to) | 130-148 |
| Number of pages | 19 |
| Journal | Monthly Notices of the Royal Astronomical Society |
| Volume | 518 |
| Issue number | 1 |
| Early online date | 25 Oct 2022 |
| DOIs | |
| Publication status | Published - 1 Jan 2023 |
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Dive into the research topics of 'Efficient analysis routines for single and double peaked Type 2 AGN spectra'. Together they form a unique fingerprint.Projects
- 1 Finished
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Research in astrophysics and cosmology at Bristol
Birkinshaw, M. (Principal Investigator)
1/04/18 → 30/06/21
Project: Research
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