MANGO 1.0: Proposed Recommendation: Request for Comments

There is a paradox in the VO world: source data which represent the basic building blocks of astronomers’ work, is not modelled. This paradox can be explained by the fact that the observation of source objects is multifaceted.
In a general way, the way features for source data are described and organised depends on the targeted science case.Principal investigators and archive designers set up the data profile and structure it according to this goal which varies from one project to another. Therefore this diversity cannot be served by a single static data model describing a source item for all possible cases.
Having a global source model would lead to a very complex solution not usable in practice.
This standard proposes to overcome this paradox and presents a template model gathering independent components from VO existing models embedded on demand in a container. MANGO is not designed to describe what a source is but to help clients to discover and to understand the quantities available for a particular source instance.

VOtable data mapped on MANGO with Mivot annotations can be consumed quantity par quantity instead of column per column. The way complex quantities are built is described by MANGO but no longer by the clients.

The main purpose of MANGO is to add an upper description level to the tabular data of query responses. MANGO is not designed to replace the meta-data already present in query responses,
Uses-cases have been collected since 2019 from representatives of various astronomical missions, archive designers and tools developers. These open contributions gave a good picture of the needs but we do not pretend that everything will be supported by this first version.

Latest version of IVOASTANDARD can be found at:

• URL link to the document

Reference Interoperable Implementations

The project contains 4 static files, located in PROJECT_HOME/implementations, that cover most of the model features (see coverage table). IN additio to this, we have 2 services (Vizier, XMM) providing annotated data.

Epoch Propagation

Mango has been developed along with MIVOT with a particular focus on the EPOCH propagation.

• Vizier deployed a cone search service that returns VOtable partially mapped on MANGO: https://vizier.cds.unistra.fr/viz-bin/conesearch/V1.5/TABLE_ID
  Try curl "https://vizier.cds.unistra.fr/viz-bin/conesearch/V1.5/I/329/urat1?RA=52.26708&DEC=59.94027&SR=0.05"
  This dataset can be processed by PyVO ( readthedoc)
• A Gaia VOTable completly mapped on the epoch propagation class of MANGO (mango:EpochPosition) can bee seen in PROJECT_HOME/implementations

HE data and Photometry

A TAP service serving XMM catalogue (https://xcatdb.unistra.fr/xtapdb/) data (table mergedentry) has been deployed.

This service demonstrates the ability of MANGO to properly describe the following quantities

• Coordinate systems (space, time imported from Coords DM)
• Position at a given epoch
• Photometric filters and calibration (imported from Phot DM)
• Fluxes and hardness ratio
• Quality flags

It can be connected with Taphandle or by using curl:

curl "https://xcatdb.unistra.fr/xtapdb/sync?LANG=ADQL&REQUEST=doQuery&QUERY=SELECT%20TOP%201%20%2A%20FROM%20%22public%22.mergedentry&FORMAT=application%2Fx-votable%2Bxml%3Bcontent%3Dmivot"

• query: SELECT TOP1 * FROM "public".mergedentry
• format: application/x-votable+xml;content=mivot

Implementations Validators

(If any, indicate here the links to Implementations Validators)

Comments from the IVOA Community during RFC/TCG review period: RFC_start_date - RFC_end_date

The comments from the TCG members during the RFC/TCG review should be included in the next section.

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