Program

Tuesday, October 27, 2020

Time Event  
13:30 - 13:45 Introduction & Setting  
13:45 - 14:10 Brief review on statistical tools to characterise stellar distribution - Marta Gonzalez  
14:10 - 14:50 Young Stellar Objects session - Marta Gonzalez  
14:10 - 14:35 › Machine learning classification of young stellar objects - Julien Montillaud, Univers, Transport, Interfaces, Nanostructures, Atmosphère et environnement, Molécules (UMR 6213)  
14:35 - 14:50 › Revisiting the structure and kinematics of the Taurus star-forming region with Gaia-DR2 and VLBI data - Phillip Galli, Laboratoire d'Astrophysique de Bordeaux (LAB)  
14:50 - 15:00 Break  
15:00 - 15:25 Brief review on statistical tools to characterise gas distribution - J.-F. Robitaille  
15:25 - 16:05 Molecular clouds session - J.-F. Robitaille  
15:25 - 15:50 › WST and friends : novel statistical descriptions of complex interstellar structures - François Levrier, Ecole normale supérieure  
15:50 - 16:05 › Structure and characteristic scales in the ISM: from molecular clouds to galactic scales - Sami Dib, Niels Bohr Institute  
16:05 - 16:15 Break  
16:15 - 16:45 Molecular clouds session - J.-F. Robitaille  
16:15 - 16:30 › Applying Dendrograms to Astronomical Imaging - Erik Rosolowsky, University of Alberta  
16:30 - 16:45 › GETSF: A Multi-Scale Multi-Wavelength Method for Extraction of Sources and Filaments in Astronomical Images using Separation of their Structural Components - Alexander Men'shchikov, Department of Astrophysics  

Wednesday, October 28, 2020

Time Event  
09:30 - 12:30 Hands-on Deep Learning workshop (see Hands-on workshop in the MAIN MENU for details) - Nicolas Audebert  
12:30 - 14:00 Lunch time  
14:00 - 14:55 Numerical Simulations session - Isabelle Joncour  
14:00 - 14:25 › ECOGAL - Multiscale simulations - Patrick Hennebelle, Astrophysique Interactions Multi-échelles, Laboratoire de Radio Astronomie de l'ENS  
14:25 - 14:40 › Introducing the Cloud Factory: How galactic scale forces affect cloud morphology and dynamics - Rowan Smith, The University of Manchester  
14:40 - 14:55 › Large-scale Turbulent Driving Regulates Star Formation in High-redshift Gas-rich Galaxies - Noé Brucy, Astrophysique Interprétation Modélisation  
14:55 - 15:05 Break  
15:05 - 15:45 Interdisciplinary Tools session - Yohan Pouteau  
15:05 - 15:30 › Overview of applications of the 2D Wavelet Transform Modulus Maxima method - Andre Khalil, University of Maine  
15:30 - 15:45 › Application of Machine Learning to Identify Stellar Feedback - Duo Xu, Department of Astronomy, The University of Texas at Austin  
15:45 - 16:30 Round table & Discussions  

Thursday, October 29, 2020

Time Event  
09:30 - 12:30 Hands-on Multi-scale Analysis workshop (see Hands-on workshop in the MAIN MENU for details) - J.-F. Robitaille  
12:30 - 14:00 Lunch time  
14:00 - 15:10 Young Stellar Objects session - Estelle Moraux  
14:00 - 14:25 › Completeness of sample for faint reddened stars - Christian Boily, Université de Strasbourg  
14:25 - 14:40 › Revealing star clusters and aggregates with Gaia - Tristan Cantat-Gaudin, IEEC  
14:40 - 14:55 › Modelling the luminosity and spatial distributions of young stellar clusters - Javier Olivares, Laboratoire d'Astrophysique de Bordeaux  
14:55 - 15:10 › Unravelling the Vela clouds - Clément Hottier, Galaxies, Etoiles, Physique, Instrumentation - Carine Babusiaux, Institut de Planétologie et dÁstrophysique de Grenoble - Frédéric Arenou, Galaxies, Etoiles, Physique, Instrumentation  
15:10 - 15:20 Break  
15:20 - 16:00 Interdisciplinary Tools session - Sylvain Bontemps  
15:20 - 15:45 › Description of turbulent dynamics in the interstellar medium: multifractal/microcanonical analysis. - H. Yahia - Inria Bordeaux - Sud-Ouest  
15:45 - 16:00 › Formation of the Musca filament: evidence of a large scale HI cloud collision - Lars Bonne - Laboratoire d'Astrophysique de Bordeaux  

Friday, October 30, 2020

Time Event  
09:30 - 10:10 Molecular clouds session - Benjamin Thomasson  
09:30 - 09:55 › ROHSA : the old dream of hyperspectral data segmentation - Marc-Antoine Miville-Deschenes, Astrophysique Instrumentation Modélisation  
09:55 - 10:10 › Dealing with large data sets: Automated techniques to study star-forming filaments - Seamus Clarke - University of Cologne  
10:10 - 10:20 Break  
10:20 - 11:20 Interdisciplinary Tools session - Frédérique Motte  
10:20 - 10:45 › Deep learning on galactic filaments - Annie Zavagno - Laboratoire d'Astrophysique de Marseille  
10:45 - 11:05 › Characterising fractal Brownian motion clouds with Convolutional Neural Networks - Anthony Whitworth, Cardiff University  
11:05 - 11:20 › Finding the best tracers of the ionization fraction in the ISM : an automated, model-based method. - Emeric Bron - Laboratoire dÉtude du Rayonnement et de la Matière en Astrophysique  
11:20 - 12:05 Round table & Discussions  
  
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