›Astronomical Data Analysis
Held regularly since 2001, the ADA conference series is focused on algorithms and information extraction from astrophysics data sets. The conference program includes keynote, invited and contributed talks, as well as posters. This conference series has been characterized by a range of innovative themes, including multisclale geometric transforms such as the curvelet transform, compressed sensing and clustering in cosmology, while at the same time remaining closely linked to front-line open problems and issues in astrophysics and cosmology.
During ADA-VII one session will be dedicated to the advanced algorithms in astronomical project pipeline. Other sessions will include asteroseismology, exoplanet detection, large scale structures (weak lensing, galaxy catalogs), CMB (source separation, polarization), restoration (map-making, deconvolution, modeling), hyperspectral data analysis, compressed sensing.
The ADA conference is a strongly interdisciplinary conference allowing researchers coming from different fields to interact. We generally have 5 or 6 keynote speakers, who are leaders in their respective fields, half being astronomers and the other half being mathematicians, statisticians or electrical engineering researchers. Each session has at least one invited speaker, and half of the talks are contributed talks.
A full poster session is included in the program, where each researcher with a poster have a 2 minutes oral talk, allowing presentation of himself or herself, presentation of results and an invitation to come to the poster.