The JMMC Stellar Diameter Catalog version 3: a complete open-source,reproducible & open-data analysis pipeline

PO
Not scheduled
15m
Wichernhaus

Wichernhaus

Board: A246
poster presentation Automation of data pipeline and workflows Poster

Speaker

Laurent Bourgès (JMMC - OSUG (CNRS))

Description

For twenty years, the Jean-Marie Marrioti Center (JMMC) is providing calibrator stars for optical interferometry's observations thanks to JMMC Stellar Diameter Catalog 1 & 2 catalog releases integrated in SearchCal & GetStar web services to help querying such dataset and providing interoperability with the Virtual Observatory (VO).
For the new JSDC third release, the complete software package is available as an open-source repository (GPL2, see https://github.com/JMMC-OpenDev/SearchCal) able to query the JMMC Measured Diameter Catalog, process and fit stellar pseudo-magnitude brightness relations, collect and cross match all available information on 2.5 million stars from TYCHO-2, HIP, 2MASS, All-Wise & GAIA DR3... catalogs from Vizier & SIMBAD archives (representing 500k stars with known spectral types, 2 million without having ~150 properties with origin & confidence index) and estimate theoretical stellar diameters using the pseudo-magnitude brightness relations to build the JMMC Stellar Diameter Catalog version 3 bright & faint datasets.
The faint approach uses a new brute-force approach to estimate stellar diameters without spectral type with higher uncertainty. Finally the SearchCal graphical interface and the GetStar web service provide "user-friendly" interfaces to respectively query & filter calibrator objects and get all information on single object.
All software packages are based on free software (bash scripts, stilts, GNU data language) and free C/C++ & Java source codes to produce a complete & reproducible workflow to estimate and apply fitted pseudo-magnitude brightness relations & stellar diameter estimations on the 2.5 million stars dataset.
This third release is a first-step to refine pseudo-magnitude brightness relations (filtering correlations, using more colors) and the theoretical approach that will be used in the coming JSDC 4 release dedicated to compare with the GAIA DR4 data release in late 2026.

Affiliation of the submitter JMMC - CNRS
Attendance in-person

Primary author

Laurent Bourgès (JMMC - OSUG (CNRS))

Presentation materials