Gaia EDR3 for Celestia/celestia.Sci

This repository contains Python scripts to generate a celestia.Sci/Celestia star database from the Gaia Data Release 2 data, supplemented by the XHIP catalogue.

In order to limit the download size required and to maintain compatibility with the use of HIP/TYC2 identifiers as the primary key for stars in Celestia/celestia.Sci, only Gaia data for HIP and TYC2 stars is processed.

Unless you are editing the code, it is recommended to use the pre-built files in the release rather than running these scripts manually. The data files in the release may be used under a CC-BY-SA 4.0 license (https://creativecommons.org/licenses/by-sa/4.0/legalcode)

Prerequisites

• Internet connection for downloading the data
• Python 3.7 or higher (preferably 64-bit, as the memory usage can be quite high)
• Rust 1.56 or later
• celestia.Sci/Celestia

Folder contents

• download_data: script to download the data files
• make_stardb: script to build the star database and cross-index files

How to use

Please ensure you have read through the Prerequisites section and all the steps below before you begin.

1. Clone or download this repository

2. Open a command window in the repository directory

3. Set up a Python 3 virtual environment

   python3 -m venv myenv

4. Switch to the virtual environment and install the requirements

   source myenv/bin/activate

5. Install the requirements:

   python -m pip install -r requirements.txt

6. Build the Rust code

   maturin develop --release

7. Run the download script. This step may take several hours!

   python download_data

8. Run the build script.

   python make_stardb

9. The stars.dat, hdxindex.dat and saoxindex.dat files will be written into the output folder

10. Copy the files into the data folder of the celestia.Sci/Celestia distribution.

References

Source catalogues

• Gaia Early Data Release 3 (https://gea.esac.esa.int/archive/)

  • Gaia Collaboration et al. (2016), A&A 595, id.A1, "The Gaia mission"
  • Gaia Collaboration et al. (2021), A&A 649, id.A1, "Gaia Early Data Release 3. Summary of the contents and survey properties"
  • Gaia Collaboration et al. (2021), A&A forthcoming, "Erratum: Gaia Early Data Release 3. Summary of the contents and survey properties"
  • Lindegren et al. (2021), A&A 649, id.A2, "Gaia Early Data Relese 3. The astrometric solution"
  • Riello et al. (2021), A&A 649. id.A3, "Gaia Early Data Release 3. Photometric content and validation"

• Bailer-Jones et al. (2021), AJ 161(3), id.147 "Estimating Distances from Parallaxes. V. Geometric and Photogeometric Distances to 1.47 Billion Stars in Gaia Early Data Release 3"

• Extended Hipparcos Compilation (XHIP) (http://cdsarc.u-strasbg.fr/viz-bin/cat/V/137D)

  Anderson & Francis (2012), AstL 38(5), pp.331–346 "XHIP: An extended Hipparcos compilation"

• The Tycho-2 Catalogue (http://cdsarc.u-strasbg.fr/viz-bin/cat/I/259)

  Høg et al. (2000), A&A 355 pp.L27–L30 "The Tycho-2 catalogue of the 2.5 million brightest stars"

• Tycho Double Star Catalogue (TDSC) (https://cdsarc.cds.unistra.fr/viz-bin/cat/I/276)

  Fabricius et al. (2002), A&A 384 pp.180–189 "The Tycho double star catalogue"

• ASCC-2.5, 3rd version (http://cdsarc.u-strasbg.fr/viz-bin/cat/I/280B)

  Kharchenko (2001), Kinematika i Fizika Nebesnykh Tel 17(5), pp.409-423 "All-sky compiled catalogue of 2.5 million stars"

• HD identifications for Tycho-2 stars (https://cdsarc.unistra.fr/viz-bin/cat/IV/25)

  Fabricius et al. (2002), A&A 386, pp.709–710 "Henry Draper catalogue identifications for Tycho-2 stars"

• Teff and metallicities for Tycho-2 stars (http://cdsarc.u-strasbg.fr/viz-bin/cat/V/136)

  Ammons et al. (2006), ApJ 638(2), pp.1004–1017 "The N2K Consortium. IV. New Temperatures and Metallicities for More than 100,000 FGK Dwarfs"

• The Tycho-2 Spectral Type Catalog (http://cdsarc.u-strasbg.fr/viz-bin/cat/III/231)

  Wright et al. (2003), AJ 125(1), pp.359–363 "The Tycho-2 Spectral Type Catalog"

• New spectral types for Tycho2 stars (https://cdsarc.unistra.fr/viz-bin/cat/J/PAZh/34/21)

  Tsvetkov et al. (2008), Astronomy Letters 34(1), pp.17–27 "Inaccuracies in the spectral classification of stars from the Tycho-2 Spectral Type Catalogue"

• SAO Star Catalog J2000 (http://cdsarc.u-strasbg.fr/viz-bin/cat/I/131A)

  SAO Staff, "Smithsonian Astrophysical Observatory Star Catalog (1990)"

Source catalogues used in earlier versions

• Gaia Data Release 2 (https://gea.esac.esa.int/archive/)

  • Gaia Collaboration et al. (2016), A&A 595, id.A1, "The Gaia mission"
  • Gaia Collaboration et al. (2018), A&A 616, id.A1, "Gaia Data Release 2. Summary of the contents and survey properties"
  • Andrae et al. (2018), A&A 616, id.A8, "Gaia Data Release 2. First stellar parameters from Apsis"
  • Evans et al. (2018), A&A 616, id.A4 "*Gaia Data Release 2. Photometric content and validation"
  • Marrese et al. (2018), A&A 621, id.A144, "Gaia Data Release 2. Cross-match with external catalogues: algorithms and results"

• Gaia Data Release 2 Geometric Distances (http://www.mpia.de/~calj/gdr2_distances/main.html)

  Bailer-Jones et al. (2018), AJ 156(2), id.58 "Estimating Distance from Parallaxes. IV. Distances to 1.33 Billion Stars in Gaia Data Release 2"

• Binarity of Hipparcos stars from Gaia pm anomaly (https://cdsarc.unistra.fr/viz-bin/cat/J/A%2bA/623/A72)

  Kervella et al. (2019), A&A 623, id.A72 "Stellar and substellar companions of nearby stars from Gaia DR2. Binarity from proper motion anomaly"

Additional catalogues of interest

• The Hipparcos and Tycho Catalogues (1997) (http://cdsarc.u-strasbg.fr/viz-bin/cat/I/239)

  • Perryman et al. (1997), A&A 500 pp.501–504 "The Hipparcos Catalogue"
  • Høg et al. (1997), A&A 323 pp.L57–L60 "The TYCHO Catalogue"

• Hipparcos, the New Reduction (http://cdsarc.u-strasbg.fr/viz-bin/cat/I/311)

  van Leeuwen (2007), A&A 474(2) pp.653–664 "Validation of the new Hipparcos reduction"

• Henry Draper Catalogue and Extension (http://cdsarc.u-strasbg.fr/viz-bin/cat/III/135A)

  Cannon & Pickering (1918–1924), Annals of the Astronomical Observatory of Harvard College

Data processing

• UBVRIJHK color-temperature calibration (http://cdsarc.u-strasbg.fr/viz-bin/cat/J/ApJS/193/1)

  Worthey & Lee (2011), ApJS, 193(1), id.1 "An Empirical UBV RI JHK Color-Temperature Calibration for Stars"

• Bailer-Jones (2015), PASP 127(956), pp.994 "Estimating Distances from Parallaxes"

• Astraatmadja & Bailer-Jones (2016), ApJ 833(1), id.119 "Estimating Distances from Parallaxes. III. Distances of Two Million Stars in the Gaia DR1 Catalogue"

• Oliphant (2006), USA: Trelgol Publishing "A guide to NumPy"

• van der Walt et al. (2011), Computing in Science & Engineering, 13, 22–30 "The NumPy Array: A Structure for Efficient Numerical Computation"

• Harris et al. (2020), Nature 585, 357–362 "Array programming with NumPy"

• Astropy Collaboration et al. (2013), A&A 558, id.A33 "Astropy: A community Python package for astronomy"

• Astropy Collaboration et al. (2018), AJ 156(3), id.123 "The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package"

• Brandt (2018), ApJSS 239(2), id.31 "The Hipparcos-Gaia Catalog of Accelerations"

Databases

• Wenger et al. (2000), A&A 143, 9–22 "The SIMBAD astronomical database. The CDS reference database for astronomical objects"

• Ochsenbein et al. (2000), A&AS 143, 23–32 "The VizieR database of astronomical catalogues"

Acknowledgements

This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement.

This work has made use of the SIMBAD database, operated at CDS, Strasbourg, France.

This work has made use of the VizieR catalogue access tool, CDS, Strasbourg, France (DOI : 10.26093/cds/vizier). The original description of the VizieR service was published in 2000, A&AS 143, 23.

This work made use of the cross-match service provided by CDS, Strasbourg.

This work made use of Astropy, a community-developed core Python package for Astronomy.