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Paris-Saclay Center for Data Science kick-off meeting
Cosmology: from fundamental questions to computing challenges Reza ANSARI (5274) - Lundi 30 juin 2014 12:10 - 12:35

Cosmology: from fundamental questions to computing challenges Reza ANSARI

Session 1

The Big Bang cosmological model provides a powerful framework to describe the evolution of the Universe. Despite tremendous theoretical and observational progress in the field, profound mysteries such as the nature of dark matter and dark energy remain to be unveiled. After a brief introduction on cosmology, an overview of some of the large projects in astrophysics and cosmology in the next decade will be presented. These projects cover a broad range of the electromagnetic spectrum, from optical surveys (LSST, eBOSS, EUCLID), to future CMB (Cosmic Microwave Background, CORE2) missions and next generation radio interferometers (SKA). Some of the computing challenges faced by these projects will be highlighted, focusing on the LSST (Large Synoptic Survey Telescope) data management and processing case.

Prof. Reza ANSARI (LAL-Univ.ParisSud , IN2P3-CNRS)

Informatique

IN2P3

Il a pour mission de développer et de coordonner les recherches poursuivies dans le domaine de la physique nucléaire, physique des particules et astroparticules.

Toutes les vidéos de l'évenement Paris-Saclay Center for Data Science kick-off meeting (13 videos)

00:16:23.01

2014-06-30

09:30 - 09:50 : Introduction : FCS and Université Paris-Saclay

00:18:17.02

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09:50 - 10:10 : Introduction : Center for Data Science

00:44:35.00

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10:10 - 10:50 : Machine learning for personalized genomics Jean-Philippe Vert

00:26:40.02

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11:20 - 11:45 : Enhancing functional neuroimaging with meta-analytic approaches B...

00:24:48.02

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11:45 - 12:10 : Data science in planetary science Frédéric Schmidt

00:30:18.02

2014-06-30

12:10 - 12:35 : Cosmology: from fundamental questions to computing challenges Rez...

00:32:42.76

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14:00 - 14:40 : The autonomous search engine Maarten de Rijke

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14:40 - 15:05 : The digital transition: applications of machine learning to marke...

00:19:33.62

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15:05 - 15:30 : Designing and learning features for music information retrieval J...

00:23:00.03

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15:30 - 15:55 : Direct-touch interaction for scientific visualization Tobias Isen...

00:43:00.01

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16:30 - 17:10 : The data science challenges of particle physics Kyle Cranmer

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17:10 - 17:35 : Challenges for data science initiatives – an innovation managem...

01:15:03.01

2014-06-30

17:35 - 18:30 : Panel discussion

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