Gaia-2MASS Local Sharded SQLite Catalogue
Authors/Creators
Description
This repository contains sharded SQLite databases of the Gaia-2MASS crossmatch catalogue, enabling fast local queries, up to different J magnitudes.
The locally created database is currently optimised for offline astrometric plate solving for visible and near-infrared observations.
The catalogue was generated by cross-matching Gaia DR2 and 2MASS catalogues using the astroquery Python package.
| J mag cut | Number of records |
| 1 | 144 |
| 2 | 650 |
| 3 | 2.1K |
| 4 | 6.3K |
| 5 | 18.0K |
| 6 | 57.8K |
| 7 | 160.3K |
| 8 | 426.4K |
| 9 | 1.10M |
| 10 | 2.83M |
| 11 | 6.96M |
| 12 | 16.1M |
| 13 | 36.1M |
| 14 | 79.2M |
| 15 | 160.6M |
| 16 | 296.9M |
Usage
To use a local catalogue, download one of the already created Gaia-2MASS SQLite database files.
You can find an example of how to use the database in [example.py](example.py) from gaia-tmass-sqlite-generating-code.zip:
```python
if __name__ == '__main__':
min_dec = -50.2
max_dec = -49.2
min_ra = 23.3
max_ra = 24.4
t0 = datetime.now()
df = db_query('./db/gaia_tmass_16_jm_cut.db', min_dec, max_dec, min_ra, max_ra)
print("Executed query", datetime.now() - t0)
print(df)
```
```
Executed query 0:00:00.236333
ra dec pmra pmdec phot_g_mean_mag j_m
0 23.693215 -49.805034 17.91935 -36.989641 7.487380 5.177
1 23.573126 -49.448267 91.111847 10.057243 9.748498 8.751
2 24.121133 -49.926295 91.715677 47.979666 9.838325 8.860
3 23.817866 -49.549265 14.543387 8.118343 10.602289 9.109
4 24.226083 -49.414841 -2.335897 -87.573116 10.764868 9.329
.. ... ... ... ... ... ...
615 23.629336 -50.186380 11.270629 -0.525701 17.416536 15.977
616 24.218084 -50.074234 12.997597 -0.806246 17.658678 15.986
617 24.326128 -49.769186 11.724527 -6.793672 18.224480 15.989
618 23.476797 -49.334399 0.578949 -1.991031 17.085663 15.993
619 23.386318 -49.613298 22.275294 -0.469569 17.023968 15.998
```
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 publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation.
Files
gaia-tmass-sqlite-generating-code.zip
Files
(36.6 GB)
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Additional details
Related works
- Cites
- Journal article: 10.1051/0004-6361/201629272 (DOI)
- Journal article: 10.1086/498708 (DOI)
Dates
- Created
-
2026-01-11
Software
- Repository URL
- https://github.com/ppp-one/gaia-tmass-sqlite