Stéphane Aicardi

ORCID: 0000-0003-4475-0930
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About
Contact & Profiles
Research Areas
  • Radio Astronomy Observations and Technology
  • Scientific Computing and Data Management
  • Astrophysics and Cosmic Phenomena
  • Solar and Space Plasma Dynamics
  • Distributed and Parallel Computing Systems
  • Astronomical Observations and Instrumentation
  • Astro and Planetary Science
  • Medical Imaging Techniques and Applications
  • Research Data Management Practices
  • Astronomy and Astrophysical Research
  • Distributed systems and fault tolerance
  • Planetary Science and Exploration
  • Ionosphere and magnetosphere dynamics
  • Sustainable Industrial Ecology
  • Energy Harvesting in Wireless Networks
  • Computational Physics and Python Applications
  • Polymer Foaming and Composites
  • Aerogels and thermal insulation
  • Calibration and Measurement Techniques
  • Blind Source Separation Techniques
  • Spacecraft Design and Technology

Centre National de la Recherche Scientifique
2018-2023

Observatoire de Paris
2013-2023

Université Paris Sciences et Lettres
2022

Département d'Informatique
2019

The Square Kilometre Array Observatory (SKAO) will explore the radio sky to new depths in order conduct transformational science. SKAO data products made available astronomers be correspondingly large and complex, requiring application of advanced analysis techniques extract key science findings. To this end, is conducting a series Science Data Challenges, each designed familiarise scientific community with drive development techniques. We present results from Challenge 2 (SDC2), which...

10.1093/mnras/stad1375 article EN Monthly Notices of the Royal Astronomical Society 2023-05-08

Context . Earth and outer planets are known to produce intense non-thermal radio emissions through a mechanism as cyclotron maser instability (CMI), requiring the presence of accelerated electrons generally arising from magnetospheric current systems. In return, good probe these systems acceleration processes. The CMI generates highly anisotropic leads important visibility effects, which have be taken into account when interpreting data. Several studies shown that modelling source beaming...

10.1051/0004-6361/201935161 article EN cc-by Astronomy and Astrophysics 2019-05-28

In this comment on the article “Locating source field lines of Jovian decametric radio emissions” by Wang YM et al., 2020, we discuss assumptions used authors to compute beaming angle Jupiter’s emissions induced moon Io. Their method, relying multi-point observations, was applied a single event observed 14<sup>th</sup> March 2014 Wind and both STEREO A/B spacecraft from ~5 ~16 MHz. They have erroneously identified emission as northern (Io-B type) instead southern one (Io-D type). We...

10.26464/epp2022018 article EN cc-by-nc-nd Earth and Planetary Physics 2022-01-01

MASER (Measurements, Analysis, and Simulation of Emission in the Radio range) is a comprehensive infrastructure dedicated to time-dependent low frequency radio astronomy (up about 50 MHz). The main sources observed this spectral range are Sun, magnetized planets (Earth, Jupiter, Saturn), our Galaxy, which either from ground or space. Ground observatories can capture high resolution data streams with sensitivity. Conversely, space-borne instruments observe below ionospheric cut-off (at 10...

10.5334/dsj-2020-012 article EN cc-by Data Science Journal 2020-01-01

Jupiter is a source of intense radio emissions in the decametric wavelength range observable from ground (above ∼10 MHz) and space (down to few kHz). The strong anisotropy Jovian sources results characteristic shapes temporal-spectral domain, which can be used identified various types components. Probability Tool provides users with emission observability predictions, depending on observers location, class. application for observation planning or data analysis observations.

10.3389/fspas.2023.1091967 article EN cc-by Frontiers in Astronomy and Space Sciences 2023-02-16

Solar radio bursts are some of the brightest emissions at frequencies in solar system. The emission mechanisms that generate these offer a remote insight into physical processes coronal plasma, while fine spectral features hint its underlying turbulent nature. During noise storms many hundreds can occur over course few hours. Identifying and classifying is often done manually although number automatic algorithms have been produced for this purpose. use machine learning image segmentation...

10.48550/arxiv.2401.04469 preprint EN cc-by arXiv (Cornell University) 2024-01-01

Solar radio spikes are short lived, narrow bandwidth features in low frequency solar observations. The timing of their occurrence and the number a given observation is often unpredictable. high temporal resolution modern telescopes such as NenuFAR mean that manually identifying an arduous task. Machine learning approaches to data exploration on rise. Here we describe convolutional neural network identify per pixel location well determine some simple characteristics duration, spectral width...

10.33232/001c.120317 preprint EN arXiv (Cornell University) 2024-03-13

Solar radio spikes are short lived, narrow bandwidth features in low frequency solar observations. The timing of their occurrence and the number a given observation is often unpredictable. high temporal resolution modern telescopes such as NenuFAR mean that manually identifying an arduous task. Machine learning approaches to data exploration on rise. Here we describe convolutional neural network identify per pixel location well determine some simple characteristics duration, spectral width...

10.33232/001c.120317 article EN cc-by The Open Journal of Astrophysics 2024-06-21

OPUS (Observatoire de Paris UWS System) is a job control system that aims at facilitating the access to analysis and simulation codes through an interoperable interface. The Universal Worker System pattern v1.1 (UWS) as defined by International Virtual Observatory Alliance (IVOA) implemented REST service asynchronous execution of on work cluster. also follows recent IVOA Provenance Data Model recommendation capture expose provenance information jobs results. By following well standards, tool...

10.48550/arxiv.2101.08683 preprint EN cc-by arXiv (Cornell University) 2021-01-01

The MASER (Measuring, Analysing and Simulating Radio Emissions) project provides a comprehensive infrastructure dedicated to low frequency radio emissions (typically < 50 100 MHz). four main sources observed in this are the Earth, Sun, Jupiter Saturn. They either from ground (down 10 MHz) or space few kHz). Ground observatories more sensitive than capture high resolution data streams (up TB per day for modern instruments). Conversely, space-borne instruments can observe below ionospheric...

10.1002/essoar.10500145.1 article EN cc-by 2018-12-16
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