Fabio Hernandez

ORCID: 0000-0001-7203-2552
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About
Contact & Profiles
Research Areas
  • Gamma-ray bursts and supernovae
  • Astronomy and Astrophysical Research
  • Stellar, planetary, and galactic studies
  • Distributed and Parallel Computing Systems
  • Astronomical Observations and Instrumentation
  • Advanced Data Storage Technologies
  • Scientific Computing and Data Management
  • Big Data Technologies and Applications
  • Galaxies: Formation, Evolution, Phenomena
  • Scientific Research and Discoveries
  • Astrophysics and Cosmic Phenomena
  • CCD and CMOS Imaging Sensors
  • Cloud Computing and Resource Management
  • Adaptive optics and wavefront sensing
  • Computational Physics and Python Applications
  • Gaussian Processes and Bayesian Inference
  • IoT and Edge/Fog Computing
  • Medical Imaging Techniques and Applications
  • Parallel Computing and Optimization Techniques
  • Solar and Space Plasma Dynamics

Centre National de la Recherche Scientifique
2012-2024

Centre de Calcul de l’Institut National de Physique Nucléaire et de Physique des Particules
2001-2024

Institut National de Physique Nucléaire et de Physique des Particules
2018

Large Synoptic Survey Telescope Corporation
2015

Beijing Computing Center
2012-2014

The Large Synoptic Survey Telescope (LSST) is a large-aperture, wide-field, ground-based survey system that will image the sky in six optical bands from 320 to 1050 nm, uniformly covering approximately $18,000$deg$^2$ of over 800 times. LSST currently under construction on Cerro Pachón Chile, and expected enter operations 2022. Once operational, explore wide range astrophysical questions, discovering "killer" asteroids examining nature Dark Energy. generate average 15 TB data per night,...

10.48550/arxiv.1512.07914 preprint EN other-oa arXiv (Cornell University) 2015-01-01

Abstract We describe the simulated sky survey underlying second data challenge (DC2) carried out in preparation for analysis of Vera C. Rubin Observatory Legacy Survey Space and Time (LSST) by LSST Dark Energy Science Collaboration (LSST DESC). Significant connections across multiple science domains will be a hallmark LSST; DC2 program represents unique modeling effort that stresses this interconnectivity way has not been attempted before. This encompasses full end-to-end approach: starting...

10.3847/1538-4365/abd62c article EN The Astrophysical Journal Supplement Series 2021-03-01

Fink is a broker designed to enable science with large time-domain alert streams such as the one from upcoming Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). It exhibits traditional astronomy features automatised ingestion, annotation, selection redistribution promising alerts for transient science. also go beyond by providing real-time classification which continuously improved using state-of-the-art Deep Learning Adaptive techniques. These evolving added values will more...

10.1093/mnras/staa3602 article EN Monthly Notices of the Royal Astronomical Society 2020-11-17

Data from high-energy physics (HEP) experiments are collected with significant financial and human effort mostly unique. An inter-experimental study group on HEP data preservation long-term analysis was convened as a panel of the International Committee for Future Accelerators (ICFA). The formed by large collider-based investigated technical organisational aspects preservation. intermediate report released in November 2009 addressing general issues HEP. This paper includes extends report. It...

10.48550/arxiv.1205.4667 preprint EN other-oa arXiv (Cornell University) 2012-01-01

We propose an extension of the great circle cell count streamer finding method Johnston et al. that can be applied to future Gaia data base. The original looks for streamers along circles in sky, our adds kinematical restriction velocity vectors should also constrained lie these circles, as seen by a Galactocentric observer. show how use combined criteria starting from heliocentric observables. test it using mock catalogue Brown al., which includes realistic Galactic background and...

10.1111/j.1365-2966.2011.18690.x article EN Monthly Notices of the Royal Astronomical Society 2011-06-28

The Vera C. Rubin Observatory is preparing for the execution of most ambitious astronomical survey ever attempted, Legacy Survey Space and Time (LSST). Currently in its final phase construction Andes mountains Chile due to start operations 2025 10 years, 8.4-meter telescope will nightly scan southern sky collect images entire visible every 4 nights using a 3.2 Gigapixel camera, largest imaging device built astronomy. Automated detection classification celestial objects be performed by...

10.1051/epjconf/202429507017 article EN cc-by EPJ Web of Conferences 2024-01-01

The Vera C. Rubin Observatory is preparing to execute the most ambitious astronomical survey ever attempted, Legacy Survey of Space and Time (LSST). Currently final phase construction under way in Chilean Andes, with Observatory’s ten-year science mission scheduled begin 2025. Rubin’s 8.4-meter telescope will nightly scan southern hemisphere collecting imagery wavelength range 320–1050 nm covering entire observable sky every 4 nights using a 3.2 gigapixel camera, largest imaging device built...

10.1051/epjconf/202429501042 article EN cc-by EPJ Web of Conferences 2024-01-01

The Large Synoptic Survey Telescope (LSST) is an 8.4m optical survey telescope being constructed on Cerro Pach´on in Chile. data management system developed must be able to process the nightly alert data, 20,000 expected transient alerts per minute, near real time, and construct annual releases at petabyte scale. development team consists of more than 90 people working six different sites across US developing integrated set software realize LSST science goals. In this paper we discuss our...

10.1117/12.2312157 article EN 2018-07-06

In preparation for cosmological analyses of the Vera C. Rubin Observatory Legacy Survey Space and Time (LSST), LSST Dark Energy Science Collaboration (LSST DESC) has created a 300 deg$^2$ simulated survey as part an effort called Data Challenge 2 (DC2). The DC2 sky survey, in six optical bands with observations following reference observing cadence, was processed Pipelines (19.0.0). this Note, we describe public data release resulting object catalogs coadded images five years along...

10.48550/arxiv.2101.04855 preprint EN cc-by arXiv (Cornell University) 2021-01-01

GPU usage has become mandatory for the processing of (3D) medical data, as well efficient machine learning approaches such deep learning. In this contribution, we present how VIP and DIRAC can be leveraged to run image applications on distributed computing resources equipped with GPUs. (Virtual Imaging Platform) is a web portal simulation massive data in imaging. users access service significant amounts storage no required technical skills beyond use browser. relies (Distributed...

10.23919/mipro.2019.8757075 preprint EN 2019-05-01

The Vera C. Rubin Observatory is preparing for the execution of most ambitious astronomical survey ever attempted, Legacy Survey Space and Time (LSST). Currently in its final phase construction Andes mountains Chile due to start operations 2025 10 years, 8.4-meter telescope will nightly scan southern sky collect images entire visible every 4 nights using a 3.2 Gigapixel camera, largest imaging device built astronomy. Automated detection classification celestial objects be performed by...

10.48550/arxiv.2403.19321 preprint EN arXiv (Cornell University) 2024-03-28

We present an on-going work that aims to evaluate the suitability of cloud-based storage as a supplement Lustre file system for storing experimental data BES III physics experiment and backend files belonging individual members collaboration. In particular, we discuss our findings regarding support in software stack experiment. report on development improves CERN' s ROOT analysis framework allows efficient remote access through several cloud protocols. also efforts providing with command...

10.1088/1742-6596/513/4/042050 article EN Journal of Physics Conference Series 2014-06-11

Large-scale distributed data processing platforms for scientific research such as the LHC computing grid include services transporting, storing and massive amounts of data. They often address needs a virtual organization but lack convenience flexibility required by individual users their personal storage needs. This paper presents motivation, design implementation status Mucura, an open source software system operating multi-tenant cloud-based services. The is specifically intended building...

10.1088/1742-6596/396/3/032056 article EN Journal of Physics Conference Series 2012-12-13
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