| Topic | ||||
|---|---|---|---|---|
| Modern astrophysical research relies on massive amounts of observations from terrestrial and spaceborne platforms, such as LSST and EUCLID. Traditional approaches involving the analysis by experts are facing significant challenges in dealing with the huge volumes of observations. The Workshop on Computational Intelligence in Astrophysics aims at bringing together researchers from the astrophysics and computer science communities in an effort to understand the potential and pitfalls of such collaborations in this emerging topic. |
| Date | July 10, 2018 | Location | Seminar Room 1, FORTH main building |
| Organizing committee: Panagiotis Tsakalides (FORTH), Vassilis Charmandaris (UoC), Jean-Luc Starck (CEA), Grigorios Tsagkatakis (FORTH) |
| Agenda | |||
|---|---|---|---|
| 10:00 | Welcome | ||
| 10:15 | Data analysis challenges in the future of strong and micro lensing | George Vernardos | Kapteyn Astronomical Institute |
| 11:00 | Star formation across scales: From galaxies, to clouds, to cores | Eva Ntormousi | Astrophysics group, FORTH |
| 11:45 | Coffee | ||
| 12:15 | Monte Carlo radiative transfer in dusty environments | Marko Stalevski | Astronomical Observatory of Belgrade |
| Lunch | |||
| 14:30 | Deconvolution and Deblending of Galaxy Survey Images | Samuel Farrens | CEA, Saclay |
| 15:15 | Deep Learning applications in astrophysics | Grigorios Tsagkatakis | Institute of Computer Science, FORTH |
| 16:00 | Workshop conclusion | ||