BEGIN:VCALENDAR VERSION:2.0 PRODID:-//129.88.11.43//NONSGML kigkonsult.se iCalcreator 2.26.9// CALSCALE:GREGORIAN METHOD:PUBLISH X-FROM-URL:https://www.madics.fr X-WR-TIMEZONE:Europe/Paris BEGIN:VTIMEZONE TZID:Europe/Paris X-LIC-LOCATION:Europe/Paris BEGIN:STANDARD DTSTART:20261025T030000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RDATE:20271031T030000 TZNAME:CET END:STANDARD BEGIN:DAYLIGHT DTSTART:20260329T020000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RDATE:20270328T020000 TZNAME:CEST END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:ai1ec-11164@www.madics.fr DTSTAMP:20260713T063440Z CATEGORIES;LANGUAGE=en-US:Conferences\,DatAstro CONTACT: DESCRIPTION:Date : 2025-02-17Lieu : Zoom\nWebinaire ASNUM (in English) 14: 00 15:00\nAdeline Paiement\nLaboratoire d’Informatique et des Systèmes\nUn iversité de Toulon\nDomain-informed analysis of (astro)physics data\nMachi ne learning and deep learning methods are increasingly popular for analysi ng physics and astrophysics data. However\, their use often faces some spe cific challenges\, such as the low availability of annotated ground-truth data\, or the interpretability of (learning) models and of their predictio n results. In this talk\, we will review some recent efforts in developing learning methods that address the specific challenges of (astro)physics d ata. These developments exploit knowledge of the physics problem and data to inform the design of learning models.\nLien direct\n\nNotre site web : www.madics.fr\nSuivez-nous sur Tweeter : @GDR_MADICS\nPour vous désabonner de la liste\, suivre ce lien. DTSTART;VALUE=DATE:20250217 DTEND;VALUE=DATE:20250217 SEQUENCE:0 SUMMARY:Webinaire mensuel Action Spécifique Numérique INSU URL:https://www.madics.fr/event/conf477/ X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\n\\n\\n

Date : 2025-02-17
Lieu : Zoom
\nWebinaire ASNUM (in English) 14:00 15:00

Adeline Paiement
\nLaboratoire d’Informatique et des Systèmes
\nUniversité de Toulon

Domain -informed analysis of (astro)physics data

Machine learning and dee p learning methods are increasingly popular for analysing physics and astr ophysics data. However\, their use often faces some specific challenges\, such as the low availability of annotated ground-truth data\, or the inter pretability of (learning) models and of their prediction results. In this talk\, we will review some recent efforts in developing learning methods t hat address the specific challenges of (astro)physics data. These developm ents exploit knowledge of the physics problem and data to inform the desig n of learning models.

Lien direct

Notre site web : www.madics.fr
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\n END:VEVENT BEGIN:VEVENT UID:ai1ec-11326@www.madics.fr DTSTAMP:20260713T063440Z CATEGORIES;LANGUAGE=en-US:Conferences\,DatAstro CONTACT: DESCRIPTION:Date : 2025-04-14Lieu : Webinaire 14/04/2025 14h\nFormat 45+15 \nhttps://univ-grenoble-alpes-fr.zoom.us/j/98838875999?pwd=eDVaQmp3bmdjMC8 rbjJUa2d2c2xBUT09\nEnhancing Globular Cluster simulations with deep-learni ng: a forward modelling approach\nPaolo Bianchini\nObservatoire astronomiq ue de Strasbourg\nGlobular clusters (GCs) are ubiquitous stellar systems f ound in nearly all galaxies\; however\, their origin in the primordial uni verse remains unknown. Despite their apparent simplicity\, GCs present sev eral modelling challenges: due to their old ages\, the repeated gravitatio nal interactions between ~1 million stars strongly impact their evolution and need to be calculated directly. Therefore\, an efficient multi-scale a pproach to resolve this so-called “million-body problem” is needed. In thi s talk\, I will present my current efforts in modelling realistic GCs\, wi th a particular focus on a forward-modelling approach to interpret current and future observations. I will first introduce a new suite of >20 realis tic star-by-star N-body simulations\, run with NBODY6+++GPU\, incorporatin g physics from the scale of stars (e.g. stellar evolution) to the one of e xternal host galaxy (external tidal field)\, and using a realistic number of stars (N = 250k–1.5M). These simulations allow us to carry a first comp arison with present-day GC properties and help establish a link with their formation properties in the high-z universe. I will then demonstrate how deep-learning techniques —specifically convolutional neural networks train ed on synthetic images— can maximize the scientific return of these comput ationally expensive simulations for a direct comparison with observations. In particular\, I will highlight recent developments in the pi-DOC deep-l earning algorithm\, designed to measure the dynamical and morphological pr operties of GCs in both the Milky Way and Andromeda\, from space telescope observations. These promising results suggest that detailed dynamical stu dies of GCs could soon be extended beyond the Local Group\, providing new valuable insights into the formation and evolution of these ancient stella r systems.\nLien direct\n\nNotre site web : www.madics.fr\nSuivez-nous sur Tweeter : @GDR_MADICS\nPour vous désabonner de la liste\, suivre ce lien. DTSTART;VALUE=DATE:20250414 DTEND;VALUE=DATE:20250414 SEQUENCE:0 SUMMARY:Webinaire mensuel de l’Action Spécifique Numérique INSU URL:https://www.madics.fr/event/conf515/ X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\n\\n\\n

Date : 2025-04-14
Lieu : Webinaire 14/04/2025 1 4h

Format 45+15

https://univ-grenoble-alpes-fr.zoom.us/j/9 8838875999?pwd=eDVaQmp3bmdjMC8rbjJUa2d2c2xBUT09

Enhancing Globular Cluster simulations with deep-learning: a forward modelling approach

Paolo Bianchini
\nObservatoire astronomique de Strasbourg

\nGlobular clusters (GCs) are ubiquitous stellar systems found in nearly a ll galaxies\; however\, their origin in the primordial universe remains un known. Despite their apparent simplicity\, GCs present several modelling c hallenges: due to their old ages\, the repeated gravitational interactions between ~1 million stars strongly impact their evolution and need to be c alculated directly. Therefore\, an efficient multi-scale approach to resol ve this so-called “million-body problem” is needed. In this talk\, I will present my current efforts in modelling realistic GCs\, with a particular focus on a forward-modelling approach to interpret current and future obse rvations. I will first introduce a new suite of >20 realistic star-by-star N-body simulations\, run with NBODY6+++GPU\, incorporating physics from t he scale of stars (e.g. stellar evolution) to the one of external host gal axy (external tidal field)\, and using a realistic number of stars (N = 25 0k–1.5M). These simulations allow us to carry a first comparison with pres ent-day GC properties and help establish a link with their formation prope rties in the high-z universe. I will then demonstrate how deep-learning te chniques —specifically convolutional neural networks trained on synthetic images— can maximize the scientific return of these computationally expens ive simulations for a direct comparison with observations. In particular\, I will highlight recent developments in the pi-DOC deep-learning algorith m\, designed to measure the dynamical and morphological properties of GCs in both the Milky Way and Andromeda\, from space telescope observations. T hese promising results suggest that detailed dynamical studies of GCs coul d soon be extended beyond the Local Group\, providing new valuable insight s into the formation and evolution of these ancient stellar systems.

Lien direct< /a>

Notre site web : www.madics.fr
\nSuivez-nous sur Tweeter : @GDR_MADICS
\nPour vous désabonner de la liste\, suivre ce lien.

\n END:VEVENT BEGIN:VEVENT UID:ai1ec-11358@www.madics.fr DTSTAMP:20260713T063440Z CATEGORIES;LANGUAGE=en-US:Conferences\,DatAstro CONTACT: DESCRIPTION:Date : 2025-04-30Lieu : Webinaire en ligne (durée 1h) \ninscri ption ici : https://epicure-hpc.eu/2025/04/15/unlocking-exascale-a-first-l ook-at-jupiter/\nThe JUPITER Exascale supercomputer\, Europe’s first Exasc ale system\, will soon be ready for large-scale computations within the up coming allocation period at the Jülich Supercomputing Centre. This webinar will provide an overview of JUPITER’s system architecture\, technical spe cification\, and pathways to gain access to the machine’s available comput e resource. Furthermore\, a brief overview of the performance comparison w ill be presented between the JUWELS Booster production system and JEDI\, w hich is the preparatory system that has identical hardware configuration t o JUPITER Booster. There will be a sharing of first-hand experience in por ting a plasma physics simulation code to an ARM-architecture based system like JEDI/JUPITER\, building software modules required by the application via Easybuild and profiling.\nSpeakers :\nJolanta Zjupa\nJolanta Zjupa is a research staff member at the Jülich Supercomputing Centre (JSC) in Germa ny\, where she has been focusing on application optimisation\, parallelisa tion\, HPC support\, and training since 2022. With a background in theoret ical and computational astrophysics\, she brings a unique perspective to h er work in High-Performance Computing. Jolanta holds a PhD in Astrophysics from Universität Heidelberg and worked as a PostDoc at renowned instituti ons in France and Austria.\nJunxian Chew\nJunxian Chew is a research staff member of JSC in Germany since 2023. He currently focuses in HPC support\ , parallel I/O\, training and porting applications. Having background in a erospace engineering then pivoting to HPC study of plasma physics in nucle ar fusion topic\, he brings a solution-oriented mindset to the field of co mputation physics in HPC environment. He holds a PhD in physics from Ruhr- Universitaet Bochum.\nLien direct\n\nNotre site web : www.madics.fr\nSuive z-nous sur Tweeter : @GDR_MADICS\nPour vous désabonner de la liste\, suivr e ce lien. DTSTART;VALUE=DATE:20250430 DTEND;VALUE=DATE:20250430 SEQUENCE:0 SUMMARY:Unlocking Exascale: A First Look at JUPITER URL:https://www.madics.fr/event/conf522/ X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\n\\n\\n

Date : 2025-04-30
Lieu : Webinaire en ligne (du rée 1h)

inscription ici : https://epicure-hpc.eu/2025/04/15/unloc king-exascale-a-first-look-at-jupiter/

The JUPITER Exascale superc omputer\, Europe’s first Exascale system\, will soon be ready for large-sc ale computations within the upcoming allocation period at the Jülich Super computing Centre. This webinar will provide an overview of JUPITER’s syste m architecture\, technical specification\, and pathways to gain access to the machine’s available compute resource. Furthermore\, a brief overview o f the performance comparison will be presented between the JUWELS Booster production system and JEDI\, which is the preparatory system that has iden tical hardware configuration to JUPITER Booster. There will be a sharing o f first-hand experience in porting a plasma physics simulation code to an ARM-architecture based system like JEDI/JUPITER\, building software module s required by the application via Easybuild and profiling.

Speaker s :

Jolanta Zjupa

Jolanta Zjupa is a research staff member at the Jülich Supercomputing Centre (JSC) in Germany\, where she has been focusing on application optimisation\, parallelisation\, HPC support\, an d training since 2022. With a background in theoretical and computational astrophysics\, she brings a unique perspective to her work in High-Perform ance Computing. Jolanta holds a PhD in Astrophysics from Universität Heide lberg and worked as a PostDoc at renowned institutions in France and Austr ia.

Junxian Chew

Junxian Chew is a research staff member o f JSC in Germany since 2023. He currently focuses in HPC support\, paralle l I/O\, training and porting applications. Having background in aerospace engineering then pivoting to HPC study of plasma physics in nuclear fusion topic\, he brings a solution-oriented mindset to the field of computation physics in HPC environment. He holds a PhD in physics from Ruhr-Universit aet Bochum.

Lien direct

Notre site web : www.madics.fr
\nSuivez-nous sur Tweeter : @GDR_MADICS
\nPour vous désabonner de la liste\, suivre ce lien.

\n END:VEVENT BEGIN:VEVENT UID:ai1ec-11485@www.madics.fr DTSTAMP:20260713T063440Z CATEGORIES;LANGUAGE=en-US:Conferences\,DatAstro CONTACT: DESCRIPTION:Date : 2025-05-19Lieu : En distanciel\, à 14h\ndurée 1h\nhttps ://univ-grenoble-alpes-fr.zoom.us/j/98838875999?pwd=eDVaQmp3bmdjMC8rbjJUa2 d2c2xBUT09\nEmeric Bron (OBSPM)\nDissecting the physics and chemistry of U V irradiated molecular gas with the Meudon PDR code\nThe Meudon PDR code i s a state-of-the-art reference code for the study of the physics and chemi stry of the interstellar medium\, and in particular the impact of radiativ e feedback from star formation on molecular clouds.\nThis webinar will pre sent the wide range of coupled physical and chemical processes included in this model\, the organization and perspectives of the code’s development as an ANO CC\, as well as the ISMDB model database and associated analysis tools\, distributed within the ANO5 Platform MIS & Jets. This will be ill ustrated with application examples.\nLien direct\n\nNotre site web : www.m adics.fr\nSuivez-nous sur Tweeter : @GDR_MADICS\nPour vous désabonner de l a liste\, suivre ce lien. DTSTART;VALUE=DATE:20250519 DTEND;VALUE=DATE:20250519 SEQUENCE:0 SUMMARY:Webinaire mensuel Action Spécifique Numérique INSU URL:https://www.madics.fr/event/conf526/ X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\n\\n\\n

Date : 2025-05-19
Lieu : En distanciel\, à 14h \ndurée 1h

https://univ-grenoble-alpes-fr.zoom.us/j/988388759 99?pwd=eDVaQmp3bmdjMC8rbjJUa2d2c2xBUT09

Emeric Bron (OBSPM)

\nDissecting the physics and chemistry of UV irradiated molecular gas with the Meudon PDR code

The Meudon PDR code is a state-of-the-art ref erence code for the study of the physics and chemistry of the interstellar medium\, and in particular the impact of radiative feedback from star for mation on molecular clouds.
\nThis webinar will present the wide rang e of coupled physical and chemical processes included in this model\, the organization and perspectives of the code’s development as an ANO CC\, as well as the ISMDB model database and associated analysis tools\, distribut ed within the ANO5 Platform MIS & Jets. This will be illustrated with appl ication examples.

Lien direct

Notre site web : www .madics.fr
\nSuivez-nous sur Tweeter : @GDR_MADICS
\nPour vo us désabonner de la liste\, suivre ce lien.

\n END:VEVENT BEGIN:VEVENT UID:ai1ec-11322@www.madics.fr DTSTAMP:20260713T063440Z CATEGORIES;LANGUAGE=en-US:Conferences\,DatAstro CONTACT: DESCRIPTION:Date : 2025-05-20 => 2025-05-23Lieu : APC\, Université Paris C ité\nDear colleagues\,\nWe are glad to announce the opening of the third e dition of the workshop on Bayesian Deep Learning for Cosmology and Time Do main Astrophysics for registration. It will be held in Paris\, France from May 20th to 23rd 2025.\nThe goal of this series of workshops is to bring together physicists and machine learning specialists to exchange recent re sults at the crossroads between cosmology\, time-domain astrophysics and p robabilistic machine learning frameworks to leverage uncertainties. \nRed uced registration fees will be available for students\, Please follow the indications on the registration website for grant applications.\nThe first day of the workshop will be structured as a school to introduce the Bayes ian framework and probabilistic machine learning concepts. The rest of the workshop will alternate between keynote talks\, topical presentations\, i nteractive tutorials and poster sessions. \nCall for contributions : open until May 1st \nWe welcome in particular contributions that target\, or re port on\, the following non-exhaustive list of topics\n• Applications of B ayesian Deep Learning in Cosmology and Time Domain Astrophysics\n• Methodo logy for Model Uncertainty Quantification\n• Anomaly and outlier detection \n• Probabilistic ML frameworks and methodology\n• Use of Bayesian deep le arning outside of academia\n• Ethical and environmental considerations of large-scale machine learning\nContributions do not necessarily need to be astrophysics-focused. Work on relevant ML methodology\, or similar conside rations in other scientific fields are welcome. \nConfirmed keynote speake rs and panelists : \nFederica Bianco (remote)\, University of Delaware\, L SST Rubin TVS collaboration\nAlexandre Boucaud\, APC\nSamuel Farrens\, Cos mostat AIM\nFrançois Lanusse\, Cosmostat AIM\nKonstantin Leyde\, ICG Ports mouth\nAnaïs Möller (remote)\, Swinburne University of Technology\nJulien Peloton\, IJCLab\nJustine Zeghal\, Université de Montréal\, MILA\nMore inf ormation is available on the workshop website: https://astrodeep.net/works hop2025 and specific inquiries can be directed to workshop@astrodeep.net. \nWe look forward to welcoming you in Paris ! \nAll the best\, \nThe organ izing committee\nEric Aubourg (CEA) – Alexandre Boucaud (CNRS) — Eric Chas sande-Mottin (CNRS) —\nFrançois Lanusse (CNRS) – Cyrille Rosset (CNRS) — C écile Roucelle (Université Paris Cité) \nLien direct\n\nNotre site web : w ww.madics.fr\nSuivez-nous sur Tweeter : @GDR_MADICS\nPour vous désabonner de la liste\, suivre ce lien. DTSTART;VALUE=DATE:20250520 DTEND;VALUE=DATE:20250523 SEQUENCE:0 SUMMARY:Bayesian Deep Learning for Cosmology and Time Domain Astrophysics W orkshop URL:https://www.madics.fr/event/conf511/ X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\n\\n\\n

Date : 2025-05-20 => 2025-05-23
Lieu : APC\, Un iversité Paris Cité

Dear colleagues\,

We are glad to annou nce the opening of the third edition of the workshop on Bayesian Deep Lear ning for Cosmology and Time Domain Astrophysics for registration. It will be held in Paris\, France from May 20th to 23rd 2025.

The goal of this series of workshops is to bring together physicists and machine learn ing specialists to exchange recent results at the crossroads between cosmo logy\, time-domain astrophysics and probabilistic machine learning framewo rks to leverage uncertainties.

Reduced registration fees will be available for students\, Please follow the indications on the registratio n website for grant applications.

The first day of the workshop wi ll be structured as a school to introduce the Bayesian framework and proba bilistic machine learning concepts. The rest of the workshop will alternat e between keynote talks\, topical presentations\, interactive tutorials an d poster sessions.

Call for contributions : open until May 1st \n

We welcome in particular contributions that target\, or report on\, the following non-exhaustive list of topics
\n• Applications of Baye sian Deep Learning in Cosmology and Time Domain Astrophysics
\n• Meth odology for Model Uncertainty Quantification
\n• Anomaly and outlier detection
\n• Probabilistic ML frameworks and methodology
\n• Us e of Bayesian deep learning outside of academia
\n• Ethical and envir onmental considerations of large-scale machine learning

Contributi ons do not necessarily need to be astrophysics-focused. Work on relevant M L methodology\, or similar considerations in other scientific fields are w elcome.

Confirmed keynote speakers and panelists :

Feder ica Bianco (remote)\, University of Delaware\, LSST Rubin TVS collaboratio n
\nAlexandre Boucaud\, APC
\nSamuel Farrens\, Cosmostat AIM
\nFrançois Lanusse\, Cosmostat AIM
\nKonstantin Leyde\, ICG Portsmo uth
\nAnaïs Möller (remote)\, Swinburne University of Technology
\nJulien Peloton\, IJCLab
\nJustine Zeghal\, Université de Montréal\ , MILA

More information is available on the workshop website: http s://astrodeep.net/workshop2025 and specific inquiries can be directed to w orkshop@astrodeep.net.

We look forward to welcoming you in Paris !

All the best\,

The organizing committee
\nEric Aub ourg (CEA) – Alexandre Boucaud (CNRS) — Eric Chassande-Mottin (CNRS) —
\nFrançois Lanusse (CNRS) – Cyrille Rosset (CNRS) — Cécile Roucelle (Uni versité Paris Cité)

Lien direct

Notre site web : www.madics.fr
\nSuivez-nous sur Tweeter : @GDR_MADICS
\nPour vous désabonner de l a liste\, suivre ce lien.

\n END:VEVENT BEGIN:VEVENT UID:ai1ec-11493@www.madics.fr DTSTAMP:20260713T063440Z CATEGORIES;LANGUAGE=en-US:Conferences\,DatAstro CONTACT: DESCRIPTION:Date : 2025-06-02 => 2025-06-06Lieu : College Park (MD\, USA)\ , Hybride\nles liens zoom seront disponibles sur les pages de la réunion. \nLes groupes de travail et d’intérêt de l’IVOA se réunissent 2 fois par a n pour travailler à l’élaboration des protocoles et standards d’interopéra bilité en astronomie. L’Action Spécifique Observatoire Virtuel France (ASO V France) de l’INSU fédère la participation française.\nLa participation a ux réunions est possible quelque soit la communauté d’appartenance \nLien direct\n\nNotre site web : www.madics.fr\nSuivez-nous sur Tweeter : @GDR_M ADICS\nPour vous désabonner de la liste\, suivre ce lien. DTSTART;VALUE=DATE:20250602 DTEND;VALUE=DATE:20250606 SEQUENCE:0 SUMMARY:Réunion semestrielle de l’IVOA\, Observatoire virtuel international URL:https://www.madics.fr/event/conf529/ X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\n\\n\\n

Date : 2025-06-02 => 2025-06-06
Lieu : College Park (MD\, USA)\, Hybride

les liens zoom seront disponibles sur le s pages de la réunion.

Les groupes de travail et d’intérêt de l’IV OA se réunissent 2 fois par an pour travailler à l’élaboration des protoco les et standards d’interopérabilité en astronomie. L’Action Spécifique Obs ervatoire Virtuel France (ASOV France) de l’INSU fédère la participation f rançaise.

La participation aux réunions est possible quelque soit la communauté d’appartenance

Lien direct

Notre site web : www.madic s.fr
\nSuivez-nous sur Tweeter : @GDR_MADICS
\nPour vous dés abonner de la liste\, suivre ce lien.

\n END:VEVENT BEGIN:VEVENT UID:ai1ec-11507@www.madics.fr DTSTAMP:20260713T063440Z CATEGORIES;LANGUAGE=en-US:Conferences\,DatAstro CONTACT: DESCRIPTION:Date : 2025-06-02Lieu : En distanciel à 14h\nformat 45+15\nLie n zoom :\nhttps://univ-grenoble-alpes-fr.zoom.us/j/98838875999?pwd=eDVaQmp 3bmdjMC8rbjJUa2d2c2xBUT09\nThe Era of Big Data in Radio Astronomy\nJeff Wa gg (OCA)\nStudying the faintest radio emitting objects in the Universe req uires large single-dish telescopes\, or multi-element interferometer array s of either dishes or dipole antennas. The most ambitious of these is the international Square Kilometre Array Observatory (SKAO)\, consisting of tw o interferometers in Western Australia and the Karoo desert of South Afric a. With a 50 year planned operational window\, construction of these teles copes has begun\, and is expected to be completed by the end of the decade . The data volume produced will approach an exabyte per year at full opera tions\, necessitating a paradigm shift in the way we calibrate and image o ur data sets. In advance of the SKAO\, pathfinder and precursor telescopes such as MeerKAT\, LOFAR2.0\, and ASKAP\, are already generating large vol umes of data and helping us to better prepare for\, and understand the cha llenges.\nI will summarize the science cases\, design\, and expected data processing for the SKAO telescopes. The data processing model incorporates a global SKA Regional Center Network (SRCNet) with nodes hosted by severa l host countries. In France\, we are contributing to this development and I will summarize some of the work and also give a preview for how we expec t to support the French community in the future. I will also describe a Eu ropean Commission funded project called SPECTRUM\, which involves research ers and data infrastructure providers from the European radio astronomy an d high energy physics community. The ambitious goal of SPECTRUM is to prod uce a technical blueprint and strategic roadmap for exabyte scale computin g in the era of SKAO and upgraded experiments at CERN.\nLien direct\n\nNot re site web : www.madics.fr\nSuivez-nous sur Tweeter : @GDR_MADICS\nPour v ous désabonner de la liste\, suivre ce lien. DTSTART;VALUE=DATE:20250602 DTEND;VALUE=DATE:20250602 SEQUENCE:0 SUMMARY:Webinaire mensuel de l’Action Spécifique Numérique INSU URL:https://www.madics.fr/event/conf533/ X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\n\\n\\n

Date : 2025-06-02
Lieu : En distanciel à 14h
\nformat 45+15
\nLien zoom :
\nhttps://univ-grenoble-alpes-fr .zoom.us/j/98838875999?pwd=eDVaQmp3bmdjMC8rbjJUa2d2c2xBUT09

The Er a of Big Data in Radio Astronomy

Jeff Wagg (OCA)

Studying the faintest radio emitting objects in the Universe requires large single- dish telescopes\, or multi-element interferometer arrays of either dishes or dipole antennas. The most ambitious of these is the international Squar e Kilometre Array Observatory (SKAO)\, consisting of two interferometers i n Western Australia and the Karoo desert of South Africa. With a 50 year p lanned operational window\, construction of these telescopes has begun\, a nd is expected to be completed by the end of the decade. The data volume p roduced will approach an exabyte per year at full operations\, necessitati ng a paradigm shift in the way we calibrate and image our data sets. In ad vance of the SKAO\, pathfinder and precursor telescopes such as MeerKAT\, LOFAR2.0\, and ASKAP\, are already generating large volumes of data and he lping us to better prepare for\, and understand the challenges.
\nI w ill summarize the science cases\, design\, and expected data processing fo r the SKAO telescopes. The data processing model incorporates a global SKA Regional Center Network (SRCNet) with nodes hosted by several host countr ies. In France\, we are contributing to this development and I will summar ize some of the work and also give a preview for how we expect to support the French community in the future. I will also describe a European Commis sion funded project called SPECTRUM\, which involves researchers and data infrastructure providers from the European radio astronomy and high energy physics community. The ambitious goal of SPECTRUM is to produce a technic al blueprint and strategic roadmap for exabyte scale computing in the era of SKAO and upgraded experiments at CERN.

Lien direct\n

Notre site web : www.madics.fr
\nSuivez-nous sur Tweeter : @GDR _MADICS
\nPour vous désabonner de la liste\, suivre ce lien.

\n END:VEVENT BEGIN:VEVENT UID:ai1ec-11576@www.madics.fr DTSTAMP:20260713T063440Z CATEGORIES;LANGUAGE=en-US:DatAstro\,·Ecoles CONTACT: DESCRIPTION:Annonce en lien avec l’Action/le Réseau : DatAstro\n\nThème :\n \nAstroInfo\n\nPrésentation :\n\nAstroInfo 2025 is a CNRS thematic school (INSU\, IN2P3\, INS2I). It aims to introduce\, train and promote state-of- the-art data science methods to the astrophysics community\, with a focus on large-scale and multimodal data analysis.\nThe school is aimed at PhD s tudents\, postdocs and researchers who wish to develop their skills in han dling and interpreting large data sets in astrophysics\, and to facilitate interdisciplinary collaboration with computer science and data science co mmunities. \n\nDu : 2025-10-27\n\nAu : 2025-10-31\n\n Lieu : Pôle d’accuei l universitaire Séolane Barcelonnette\, Alpes de Haute Provence\, France\n \nSite Web : https://astroinfo2025.in2p3.fr/index.html DTSTART;VALUE=DATE:20251027 DTEND;VALUE=DATE:20251101 SEQUENCE:0 SUMMARY:Ecole AstroInfo 2025 URL:https://www.madics.fr/event/titre1754667266-8967/ X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\n\\n\\n

Annon ce en lien avec l’Action/le Réseau : DatAstro
\n
\nThème :
\n
\nAstroInfo
\n

Présentation :
\n
\nAstroInf o 2025 is a CNRS thematic school (INSU\, IN2P3\, INS2I). It aims to introd uce\, train and promote state-of-the-art data science methods to the astro physics community\, with a focus on large-scale and multimodal data analys is.
\nThe school is aimed at PhD students\, postdocs and researchers who wish to develop their skills in handling and interpreting large data s ets in astrophysics\, and to facilitate interdisciplinary collaboration wi th computer science and data science communities.

\nDu : 2025-10-27
\n
\nAu : 2025-10-31
\n
\n Lieu : Pôle d’accueil universitaire Séolane Ba rcelonnette\, Alpes de Haute Provence\, France
\n
\nSite Web : https: //astroinfo2025.in2p3.fr/index.html

\n END:VEVENT BEGIN:VEVENT UID:ai1ec-11952@www.madics.fr DTSTAMP:20260713T063440Z CATEGORIES;LANGUAGE=en-US:Conferences\,DatAstro CONTACT: DESCRIPTION:Date : 2026-04-20 => 2026-04-24Lieu : Institut d’Astrophysique de Paris \nThis is the second announcement for the upcoming workshop “Uni fying Galactic and Extragalactic Views of Star Formation – Spectroscopic S tudies & Data Science” . This workshop will take place at Institut d’Astro physique de Paris from April 20th to April 24th. We will also broadcast th e conference for registered participants through zoom.\nThe objectives of this workshop\, at the interface between astronomy and\ndata science\, are to discuss spectroscopic studies of molecular clouds both locally in the Milky Way and in nearby galaxies. A focus will be put on the challenges po sed by the analysis of large spectroscopic data sets\, thanks to interdisc iplinary discussions between data scientists and astronomers.\nResearch to pics to be discussed at the conference will include:\n* Multi-line observa tions of the Milky Way and nearby galaxies\;\n* Chemistry\, magnetic field and star formation\;\n* Inverse problems\, regularization and information theory\;\n* Statistical & Bayesian inference\, machine learning and neura l networks.\nWe welcome submission for oral contributions before 2026 Mar ch 6th in\nthe evening (new deadline).\nLien direct\n\nNotre site web : ww w.madics.fr\nSuivez-nous sur Tweeter : @GDR_MADICS\nPour vous désabonner d e la liste\, suivre ce lien. DTSTART;VALUE=DATE:20260420 DTEND;VALUE=DATE:20260424 SEQUENCE:0 SUMMARY:Unifying Galactic and Extragalactic Views of Star Formation – Spect roscopic studies & Data Science\, Paris\, 2026 April 20th-24th URL:https://www.madics.fr/event/conf594/ X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\n\\n\\n
Date : 2026-04-20 => 2026-04-24
Lieu : Institut d’Astrophysique de Paris
\n
This is the second announcement for the upcoming workshop “Unifying Galactic and Extragalactic Views of Star Form ation – Spectroscopic Studies & Data Science” . This workshop will take pl ace at Institut d’Astrophysique de Paris from April 20th to April 24th. We will also broadcast the conference for registered participants through zo om.
\n
The objectives of this workshop\, at the interface between ast ronomy and
\ndata science\, are to discuss spectroscopic studies of m olecular clouds both locally in the Milky Way and in nearby galaxies. A fo cus will be put on the challenges posed by the analysis of large spectrosc opic data sets\, thanks to interdisciplinary discussions between data scie ntists and astronomers.
\n
Research topics to be discussed at the con ference will include:
\n* Multi-line observations of the Milky Way an d nearby galaxies\;
\n* Chemistry\, magnetic field and star formation \;
\n* Inverse problems\, regularization and information theory\;
\n* Statistical & Bayesian inference\, machine learning and neural netwo rks.
\n
We welcome submission for oral contributions before 2026 Mar ch 6th in
\nthe evening (new deadline).
\n
Lien direct
\n
\n
Notre site web : www.madics.fr
\nSuivez-nous sur Tweeter : @GDR_MADICS
\nP our vous désabonner de la liste\, suivre ce lien.
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-11958@www.madics.fr DTSTAMP:20260713T063440Z CATEGORIES;LANGUAGE=en-US:Conferences\,DatAstro CONTACT: DESCRIPTION:Date : 2026-04-27 => 2026-04-30Lieu : Centre Blaise Pascal de l’ENS Lyon.\n Objectifs de l’école\nCette école vise à former les partici pants à l’utilisation de quatre codes phares dans le domaine :\n Dyablo . Intervenants : Maxime Delorme\, Arnaud Durocher\n Idefix. Intervenant : Geoffroy Lesur\n Shamrock. Intervenants: Timothée David—Cléris\n Smilei. Intervenants: Arnaud Beck\, Charles Prouveur\nChaque journée sera consacrée à un code\, avec :\n Le matin : une présentation théorique et technique du code.\n L’après-midi : un atelier pratique (TP) de prise en main.\n Modalités d’inscription\nPour participer\, merci d’envoyer un e mail de candidature accompagné d’une lettre de motivation (1 page maximum) à :\nBenoit Commerçon : benoit.commercon@ens-lyon.fr\nHéloïse Méheut : he loise.meheut@oca.eu\nDate limite d’envoi des candidatures : 3 avril 2026 \nLien direct\n\nNotre site web : www.madics.fr\nSuivez-nous sur Tweeter : @GDR_MADICS\nPour vous désabonner de la liste\, suivre ce lien. DTSTART;VALUE=DATE:20260427 DTEND;VALUE=DATE:20260430 SEQUENCE:0 SUMMARY:Première école de l’Action Spécifique Numérique INSU URL:https://www.madics.fr/event/conf598/ X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\n\\n\\n
Date : 2026-04-27 => 2026-04-30
Lieu : Centre Blaise Pascal de l’ENS Lyon.
\n
Objectifs de l’école
\n
Cette é cole vise à former les participants à l’utilisation de quatre codes phares dans le domaine :
\n
Dyablo. Intervenants : Maxime Delorme\, Arn aud Durocher
\n Idefix. Intervenant : Geoffroy Lesur
\n Sh amrock. Intervenants: Timothée David—Cléris
\n Smilei. Intervenant s: Arnaud Beck\, Charles Prouveur
\n
Chaque journée sera consacrée à un code\, avec :
\n
Le matin : une présentation théorique et tech nique du code.
\n L’après-midi : un atelier pratique (TP) de prise en main.
\n
Modalités d’inscription
\n
Pour participer\, merci d’envoyer un email de candidature accompagné d’une lettre de motivation ( 1 page maximum) à :
\nBenoit Commerçon : benoit.commercon@ens-lyon.fr
\nHéloïse Méheut : heloise.meheut@oca.eu
\n
Date limite d’envoi des candidatures : 3 avril 2026
\n
Lien direct
\n
\n
Notre site web : www.madics.fr
\nSuivez-nous sur Tweeter : @GDR_MADICS
\nPour vous désabonner de l a liste\, suivre ce lien.
\n END:VEVENT END:VCALENDAR