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/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.
The Gaia payload is a highly sophisticated system and much of its instrumental behaviour is tested to proper accuracy during the Commissioning and Early Operations phase. The Astrometric Instrument Modelling (AIM) belongs to the Core Processing, or CU3, software systems devoted to astrometric data processing, instrumental monitoring and calibration.; it was developed in the context of a special unit of CU3 devoted to Astrometric Verification. While waiting for nominal scientific operations, we present the challenges phased in the Gaia initial data treatment and real-time instrument health monitoring and diagnostic, during the non-standard conditions of the Commissioning phase. We describe the dedicated diagnostic and correction procedures implemented for Commissioning and Early Operations and we show some results obtain during still on-going Commissioning activities.
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.
KEYWORDS: Databases, Data processing, Data storage, Data archive systems, Computer architecture, Shape memory alloys, Control systems, Data modeling, Data analysis, Chemical mechanical planarization
This paper describes the design and the implementation of the Italian Data Processing Centre multi-tier software and
hardware infrastructure, built by ALTEC and funded by ASI, to support the Italian participation to the Gaia data
processing tasks. In particular the paper focuses on the software and hardware architectural choices adopted to manage
both big data volumes and complex operations scenarios. The DPCT system has been designed as an integrated system
whit the capability to manage all data processing pipeline phases: data receiving, data processing, data extraction, data
archiving and data sending. In addition, the DPCT system includes also data access and analysis tools allowing Italian
scientists to be active system users during operations.
KEYWORDS: Data processing, Data analysis, Databases, Data centers, Visualization, Data archive systems, Diagnostics, Data storage, Astronomy, Standards development
This document is the first, systematic description of the approach adopted to support the operations of the
Gaia Astrometric Verification Unit (AVU) systems. A further subsystem that collects and provides useful tools
for a scientific oriented approach to Data Analysis and Access is designed and integrated in Data Processing
Center of Turin. Specifically, its aim is to provide to the AVU system an operative and versatile set of diagnostic
elements useful for the analysis and the manipulation of the stored data. Examples of the different scenarios
targeted by the operation efforts are: - Visualization of the “Runtime” mission status; - Archive and recovery
data, using graphs and log files contained in the Data Base; - get “On-demand” information for ad hoc analyses
and data mining; - Production of tables and reports retrieving custom data in the database. The different cases
are described in terms of the methods and of the environments in which these take place.
The core task of the Gaia mission is the solution of the Global Astrometric Sphere, which is providing the
materialization of the astrometric reference frame for the catalog that will be the main outcome of the mission. Given the absolute character of the measurements, the Gaia Data Processing and Analysis Consortium (DPAC) has decided to replicate a dedicated version of this task, together with two other ones selected for their mission criticality, in an Astrometric Verification Unit (AVU). This task, named Global Sphere Reconstruction (GSR), focusses on the importance of having an implementation of the astrometric sphere solution from a well-defined subset of objects, based on an independent astrometric model as well as on a different solution algorithm. We analyze here these two aspects in the context of the GSR implementation at the Data Processing Center of Torino (DPCT) and the solution to implement the most computationally intensive part of the pipeline as a High-Performance Computing module.
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