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A Beginner’s Guide to Accessing Tycho-2 Data### What is the Tycho-2 Catalogue?

The Tycho-2 catalogue is a widely used astrometric star catalogue produced from observations by the ESA Hipparcos satellite’s Tycho experiment, combined with many ground-based catalogues. It contains positions, proper motions, and two-color photometry (B_T and V_T magnitudes) for about 2.5 million stars, covering the entire sky down to about magnitude 11–12. Tycho-2 improved on its predecessor (Tycho-1) by using a longer time baseline and more reference catalogues, yielding more accurate proper motions and positions.


Why use Tycho-2?

  • Broad sky coverage: nearly full-sky catalogue suitable for many observational and calibration tasks.
  • Accurate proper motions: useful for studies of stellar kinematics and identification of high–proper-motion objects.
  • Photometry included: B_T and V_T magnitudes enable color-based selections and cross-matching with other photometric systems.
  • Lightweight compared to modern surveys: easier to download and handle than very large modern sky surveys if you only need bright stars.

What data fields are in Tycho-2?

Key columns you’ll typically find:

  • Tycho-2 identifier (TYC1-TYC2-TYC3)
  • Right Ascension (RA) and Declination (Dec) at epoch J2000.0
  • Proper motions in RA and Dec (mas/yr)
  • B_T and V_T magnitudes and their errors
  • Number of observations and quality flags
  • Cross-identifications with Hipparcos where available

Where to access Tycho-2 data

Primary ways to obtain Tycho-2 data:

  1. Online catalog services (recommended for most users)
    • Vizier (CDS): query and download subsets or full tables.
    • ESA/Hipparcos archive: documentation and links.
  2. FTP/HTTP bulk downloads
    • Some archives provide the full catalogue as files for offline use.
  3. Programmatic access via APIs
    • Astroquery (Python), TAP/IVOA services, or custom REST endpoints.

Step-by-step: Downloading Tycho-2 with Vizier (web)

  1. Open the Vizier website (CDS).
  2. Enter the Tycho-2 catalogue identifier: “I/259/tyc2”.
  3. Use query filters to restrict by magnitude, coordinates, or proper motion.
  4. Choose output format (VOTable, CSV, ASCII) and download selected rows.

Step-by-step: Querying Tycho-2 using Python (astroquery)

Example using astroquery.vizier:

from astroquery.vizier import Vizier from astropy.coordinates import SkyCoord from astropy import units as u Vizier.ROW_LIMIT = 10000  # increase as needed catalog = "I/259/tyc2" coord = SkyCoord(ra=10*u.degree, dec=20*u.degree, frame='icrs') result = Vizier.query_region(coord, radius=0.5*u.deg, catalog=catalog) table = result[0] print(table[:5]) 

Notes:

  • Set ROW_LIMIT to 0 for no limit (careful: large downloads).
  • Use filters like Vizier(columns=[“TYC”,“RAJ2000”,“DEJ2000”,“BTmag”,“VTmag”]) to reduce columns.

Using TAP/ADQL queries

If you prefer ADQL (SQL-like) queries against an IVOA TAP service:

SELECT TOP 100 * FROM "I/259/tyc2" WHERE 1=CONTAINS(POINT('ICRS',RAJ2000,DEJ2000),                  CIRCLE('ICRS', 10.0, 20.0, 0.5)) 

Run this on a TAP-enabled service (e.g., ESA or some Vizier TAP endpoints).


Cross-matching Tycho-2 with other catalogs

Common tasks:

  • Cross-match by position (within an angular radius) with Gaia, 2MASS, SDSS, etc.
  • Use astropy.coordinates and astropy.coordinates.match_coordinates_sky or CDS X-Match services for batch cross-matches.

Example (Astropy cross-match):

from astropy.coordinates import SkyCoord from astropy import units as u from astropy.table import Table tyc = Table.read('tycho_sample.vot', format='votable') gaia = Table.read('gaia_sample.vot', format='votable') c_tycho = SkyCoord(ra=tyc['RAJ2000']*u.deg, dec=tyc['DEJ2000']*u.deg) c_gaia = SkyCoord(ra=gaia['ra']*u.deg, dec=gaia['dec']*u.deg) idx, sep2d, _ = c_tycho.match_to_catalog_sky(c_gaia) match_mask = sep2d < 1.0*u.arcsec matches = tyc[match_mask] 

Photometry conversion: B_T, V_T to Johnson B, V

Tycho magnitudes can be converted approximately to the Johnson system:

  • V ≈ V_T – 0.09*(B_T – V_T)
  • B – V ≈ 0.85*(B_T – V_T)

These are approximations good for many stars; consult literature for precise transformations for specific spectral types.


Common pitfalls and tips

  • Proper motions are given relative to J2000.0 — propagate positions to your epoch if needed.
  • Use the catalogue’s quality flags to filter unreliable entries (e.g., low observation counts).
  • For high-precision astrometry, cross-check with Gaia DR3/DR4 where available.
  • Be mindful of star multiplicity: close binaries can affect photometry and astrometry.

Example workflows

  • Calibration: select Tycho-2 stars with 6 < V_T < 10 around your target field for photometric or astrometric calibration.
  • Kinematics: build a sample of high–proper-motion stars by filtering proper motion > 50 mas/yr and inspect sky distribution.
  • Cross-match for identification: match Tycho-2 with Gaia to get improved parallaxes and radial velocities from other surveys.

Further reading and resources

  • Tycho-2 catalogue original paper (for methodology, reductions, and error models).
  • Vizier/Catalogue documentation pages (column descriptions, flags).
  • Astropy and Astroquery documentation (tools for programmatic access).
  • IAU/IVOA pages on TAP/ADQL for advanced queries.

If you want, I can:

  • produce ready-to-run scripts tuned to your dataset size or desired sky region,
  • show how to bulk-download the full catalogue,
  • or help convert Tycho-2 magnitudes to other photometric systems for a given spectral type.

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