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**Resource Description:**

We estimate the distance from the Sun to sources in Gaia EDR3 that have parallaxes. We provide two types of distance estimate, together with their corresponding asymmetric uncertainties, using Bayesian posterior density functions that we sample for each source. Our prior is based on a detailed model of the 3D spatial, colour, and magnitude distribution of stars in our Galaxy that includes a 3D map of interstellar extinction.

The first type of distance estimate is purely geometric, in that it only makes use of the Gaia parallax and parallax uncertainty. This uses a direction-dependent distance prior derived from our Galaxy model. The second type of distance estimate is photogeometric: in addition to parallax it also uses the source's G-band magnitude and BP-RP colour. This type of estimate uses the geometric prior together with a direction-dependent and colour-dependent prior on the absolute magnitude of the star.

Our distance estimate and uncertainties are quantiles, so are invariant under logarithmic transformations. This means that our median estimate of the distance can be used to give the median estimate of the distance modulus, and likewise for the uncertainties.

For applications that cannot be satisfied through TAP, you can download a full table dump.

For a list of **all services and tables** belonging
to this table's
resource, see Information on resource 'Geometric and photogeometric distances to 1.47 billion stars in Gaia
Early Data Release 3 (eDR3)'

This table has an **associated publication**. If you use data from it,
it may be appropriate to reference
2021AJ....161..147B
(ADS BibTeX entry for the publication) either
in addition to or instead of the service reference.

To cite the **table as such**, we suggest the following
BibTeX entry:

@MISC{vo:gedr3dist_main, year=2020, title={Geometric and photogeometric distances to 1.47 billion stars in Gaia Early Data Release 3 (eDR3)}, author={Bailer-Jones, C.A.L. and Rybizki, J. and Fouesneau, M. and Demleitner, M. and Andrae, R.}, url={https://dc.zah.uni-heidelberg.de/tableinfo/gedr3dist.main}, howpublished={{VO} resource provided by the {GAVO} Data Center} }

Sorted by DB column index. [Sort alphabetically]

Name | Table Head | Description | Unit | UCD |
---|---|---|---|---|

source_id | Source Id | Gaia eDR3 unique source identifier. Note that this *cannot* be matched against the DR1 or DR2 source_ids. [Note id] | N/A | meta.id;meta.main |

r_med_geo | Dist | The median of the geometric distance posterior. The geometric distance estimate. [Note d] | pc | pos.distance |

r_lo_geo | Dist. Low | The 16th percentile of the geometric distance posterior. The lower 1-sigma-like bound on the confidence interval. [Note d] | pc | pos.distance;stat.min |

r_hi_geo | Dist. High | The 84th percentile of the geometric distance posterior. The upper 1-sigma-like bound on the confidence interval. [Note d] | pc | pos.distance;stat.max |

r_med_photogeo | Dist | The median of the photogeometric distance posterior. The photogeometric distance estimate. [Note d] | pc | pos.distance |

r_lo_photogeo | P. Dist. Low | The 16th percentile of the photogeometric distance posterior. The lower 1-sigma-like bound on the confidence interval. [Note d] | pc | pos.distance;stat.min |

r_hi_photogeo | P. Dist. High | The 84th percentile of the photogeometric distance posterior. The upper 1-sigma-like bound on the confidence interval. [Note d] | pc | pos.distance;stat.max |

flag | Flags | Additional information on the solution. Do not use for filtering (see table note in the reference URL). [Note f] | N/A | meta.code |

Columns that are parts of indices are marked like this.

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