Published May 25, 2021 | Version v1

Dataset for "A hot subdwarf–white dwarf super-Chandrasekhar candidate supernova Ia progenitor"

  • 1. Department of Physics, University of Warwick, Coventry, CV4 7AL, UK
  • 2. Max Planck Institut für Astrophysik, Karl-Schwarzschild-Straße 1, 85748 Garching bei München
  • 3. Institut für Physik und Astronomie, Universität Potsdam, Haus 28, Karl-Liebknecht-Str. 24/25, D-14476 Potsdam-Golm, Germany
  • 4. Texas Tech University, Department of Physics \& Astronomy, Box 41051, 79409, Lubbock, TX, USA
  • 5. Dr. Karl Remeis-Observatory & ECAP, Astronomical Institute, Friedrich-Alexander University Erlangen-Nuremberg (FAU), Sternwartstr. 7, 96049 Bamberg, Germany
  • 6. Division of Physics, Mathematics and Astronomy, California Institute of Technology, Pasadena, CA 91125, USA
  • 7. Department of Physics and Astronomy, High Point University, High Point, NC 27268, USA

Description

Follow-up spectra and evolutionary models obtained for the manuscript "A hot subdwarf–white dwarf super-Chandrasekhar candidate supernova Ia progenitor", published in Nature Astronomy (https://doi.org/10.1038/s41550-021-01413-0).

This repository includes:

  • Spectra taken with the Double-Beam Spectrograph at the Palomar 200-inch telescope, reduced with a PyRAF-based pipeline (https://github.com/ebellm/pyraf-dbsp). Files start with DBSP*, and are separated by spectrograph arm (blue or red). Flux (flux.spec) and flux error (flux.err) are in different files. We provide both fits and ascii files.
  • Spectra taken with the Echellette Spectrograph and Imager (ESI) at the Keck II telescope, reduced with the MAKEE pipeline (http://www.astro.caltech.edu/~tb/ipac_staff/tab/makee). Fits and ascii files are provided.
  • MESA inlists and resulting data for simulations carried out for the paper. A README file is included in the zip file with further information.

Files

DBSP.zip

Files (605.4 MB)

Name Size
md5:7c48b400691673d8bd21cced9832ad47
5.7 MB Preview Download
md5:6956a39854e0657a52f0a687b52b083d
3.6 MB Preview Download
md5:ae167b07399b562f44285625f4f3c47f
596.1 MB Preview Download