Implementing the Gaia Astrometric Global Iterative Solution (AGIS) in Java
William O'Mullane, Uwe Lammers, Lennart Lindegren, Jose, Hernandez, David Hobbs

TL;DR
This paper details the Java-based software framework for Gaia's AGIS, enabling self-calibrated, input catalogue-independent astrometric solutions through a distributed, cluster-based system.
Contribution
It introduces a Java implementation of AGIS, describing its architecture and distributed design for Gaia's self-calibrating astrometric data processing.
Findings
Successful implementation of AGIS in Java
Distributed architecture supports large-scale Gaia data processing
Framework achieves input catalogue independence
Abstract
This paper provides a description of the Java software framework which has been constructed to run the Astrometric Global Iterative Solution for the Gaia mission. This is the mathematical framework to provide the rigid reference frame for Gaia observations from the Gaia data itself. This process makes Gaia a self calibrated, and input catalogue independent, mission. The framework is highly distributed typically running on a cluster of machines with a database back end. All code is written in the Java language. We describe the overall architecture and some of the details of the implementation.
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