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Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis
(MDPI, 2018-11)
[Abstract]: Analyzing huge amounts of data becomes essential in the era of Big Data, where databases are populated with hundreds of Gigabytes that must be processed to extract knowledge. Hence, classical algorithms must ...
QKDNetSim+: Improvement of the quantum network simulator for NS-3
(Elsevier, 2024)
[Abstract]: The first Quantum Key Distribution (QKD) networks are currently being deployed, but the implementation cost is still prohibitive for most researchers. As such, there is a need for realistic QKD network simulators. ...
A privacy-preserving key transmission protocol to distribute QRNG keys using zk-SNARKs
(Elsevier B.V., 2024-04)
[Absctract]: High-entropy random numbers are an essential part of cryptography, and Quantum Random Number Generators (QRNG) are an emergent technology that can provide high-quality keys for cryptographic algorithms but ...
Gaia Data Release 3: Catalogue validation
(EDP Sciences, 2023-06)
[Abstract]: Context. The third Gaia data release (DR3) provides a wealth of new data products. The early part of the release, Gaia EDR3, already provided the astrometric and photometric data for nearly two billion sources. ...
Phosphorus-Rich Stars With Unusual Abundances Are Challenging Theoretical Predictions
(Nature Publishing Group, 2020-08-04)
[Abstract]
Almost all chemical elements have been made by nucleosynthetic reactions in various kind of stars and have been accumulated along our cosmic history. Among those elements, the origin of phosphorus is of extreme ...
A Blended Artificial Intelligence Approach for Spectral Classification of Stars in Massive Astronomical Surveys
(MDPI AG, 2020-05-01)
[Abstract]
This paper analyzes and compares the sensitivity and suitability of several artificial intelligence techniques applied to the Morgan–Keenan (MK) system for the classification of stars. The MK system is based ...
Gaia Early Data Release 3: The Galactic Anticentre
(EDP Sciences, 2021)
[Abstract] Aims. We aim to demonstrate the scientific potential of the Gaia Early Data Release 3 (EDR3) for the study of different aspects of the Milky Way structure and evolution and we provide, at the same time, a ...
Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis
(MDPI AG, 2018-05-03)
[Abstract] Analyzing huge amounts of data becomes essential in the era of Big Data, where databases are populated with hundreds of Gigabytes that must be processed to extract knowledge. Hence, classical algorithms must be ...
Gaia Data Release 2: Observational Hertzsprung-Russell diagrams
(EDP Sciences, 2018)
[Abstract] Context. Gaia Data Release 2 provides high-precision astrometry and three-band photometry for about 1.3 billion sources over the full sky. The precision, accuracy, and homogeneity of both astrometry and photometry ...
Gaia Data Release 2: Mapping the Milky Way disc kinematics
(EDP Sciences, 2018)
[Abstract] Context. The second Gaia data release (Gaia DR2) contains high-precision positions, parallaxes, and proper motions for 1.3 billion sources as well as line-of-sight velocities for 7.2 million stars brighter than ...