KEYWORDS: Data modeling, Surveillance, Engineering, Databases, Visualization, Telescopes, Systems modeling, Space weather, Space operations, Instrument modeling
Gaia Legacy idea born to enhance the platform system of Gaia's Big Data science data center in Turin and to be a center for the management, visualization, processing, manipulation and analysis of large amounts of data that require the development and implementation of innovative systems with exascale approach, guaranteeing high performances. The system responds to the scientific needs of the INAF community beyond the core science of the Gaia mission itself under a multimessenger approach such as characterization of cosmological gravitational waves and degenerate binary systems in the Milky Way. The system will extend its capability to engineering data collected by space instrumentation for studies of future missions, observation calibration and qualification of instrumental models. We present the Gaia Legacy repository project which goal is the generation of a deep and complete sky, on 4π sterad, as a reference tool and therefore interoperable for the integration of multiband data (from radio to high energies) and multimessenger data (e.g. sources of gravitational waves, neutrinos,...) for efficient data mining aimed at fast multidimensional scientific data exploitation.
AVU-GSR is a pipeline designed to solve the problem of the Global Astrometric Sphere Reconstruction of the Gaia ESA mission whose goal is to replicate the AGIS baseline process. The pipeline produces an independent solution using a different astrometric model and different algorithms for the solution of this problem, thus providing an effective way to assess the reliability of the solution, as it is called by the absolute character of the satellite measurements. It recently passed its qualification phase with real data, successfully solving the sphere reconstruction problem at the sub-mas level with Cycle 2 data. We review the context, the current status of the pipeline, and the development needed to cope with the goal of contributing to the forthcoming Gaia Data Release four.
AVU/BAM is the Gaia software for the Astrometric Verification Unit (AVU) devoted to the monitoring of the Basic Angle Monitoring (BAM), one of the metrology instruments onboard of the Gaia Payload. AVU/BAM is integrated and operative at the Data Processing Center of Turin (DPCT), since the beginning of the Gaia Mission. The DPCT infrastructure performs the ingestion of pre-elaborated data coming from the satellite and it's responsible of running the code of different Verification Packages. The new structure of the pipeline consists of three phases: the first is a pre-analysis in which a preliminary study data is performed, with the calculation of quantities needed to the analysis; the second one processes the interferograms coming from the instrument; the third phase analyzes the data obtained from the previous processing. Also it has been changed part of the long-term analysis and was added a phase of calibration of the data obtained from the processing.
KEYWORDS: Telescopes, Fringe analysis, Data processing, Space operations, Calibration, Signal processing, Satellites, Interferometry, Metrology, Space telescopes
The goal of the Gaia mission is to achieve micro-arcsecond astrometry, making Gaia the most important astro- metric space mission of the 21st century. To achieve this performance several innovative technological solutions have been realized as part of the satellite's scientific payload. A critical component of the Gaia scientific pay- load is the Basic Angle Monitoring device (BAM), an interferometric metrology instrument with the task of monitoring, to some picometers, the variation of the Basic Angle between Gaia's two telescopes. In this paper we provide an overview of the AVU/BAM software, running at the Italian Data Processing Center (DPCT), to analyze the BAM data and to recover the basic angle variations at the micro-arcosecond level. Outputs based on preliminary data from Gaia's Commissioning phase are shown as an example.
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