Letters of Intent for 2013
LoI 2013-129
Statistical methods for 21st century astronomy
Date: |
8 July 2013 to 12 July 2013 |
Location: |
Valencia, Spain |
Contact: |
Vicent J. Martinez (vicent.martinez@uv.es) |
Coordinating division: |
Division VIII Galaxies & the Universe |
Co-Chairs of SOC: |
Vicent J. Martínez (Astronomical Observatory Valencia) |
| Oleg Malkov (Institute of Astronomy, Moscow) | |
| Eric Feigelson (Penn State University) | |
| Jean-Luc Starck (CEA, Saclay) | |
Co-Chairs of LOC: |
Vicent J. Martínez (Astronomical Observatory, Valencia) |
| María Jesús Pons (Universidad Complutense de Madrid) |
Topics
• Observational cosmology: CMB, large scale structure, weak lensing, high redshift supernovae
• Discovery and characterisation of exoplanet systems
• Gravitational wave detection
• Helioseismology and Asteroseismology
• Multiwavelength approaches to galaxy evolution and star formation
• Transients in large surveys: time domain searches for variable sources
• Astronomical discovery from overwhelmingly large datasets : BOSS, EUCLID, PAU, LAMOST, etc
• Statistical methods used in the astronomical data analysis (including new developments coming from fertile cross-interactions in astrostatistics). A preliminary list of these method is included below:
◦ Correlation and regression algorithms (including negative binomial) . Bootstrap.
◦ Count Models, mixture models with counts of objects with multiple distributions.
◦ Bayesian methods, evidence, model selection
◦ Multivariate classification and clustering
◦ Signal processing: compressive sampling, sparsity and compress sensing, time series analysis
◦ Kernel regression, SVM, neural networks, supervised learning
◦ Visualization
Rationale
The main tools to compare theoretical results with observations in astronomy are statistical. In fact, the development of huge astronomical data bases have initiated an active use of new developed statistical techniques statistics in astronomy.
Moreover, the well defined and growing data sets in astronomy represent an important challenge for the statistical analysis today.
During the past 20 years recent years it has been produced a resumption of a dialogue between astronomers and statisticians, led by the Penn State conferences organized by Professors Josegh Babu and Eric Feigelson. This dialogue has been quite fruitful and has been the origin of a new discipline that can be called Astrostatistics.
There had not be any IAU symposia devoted to Astrostatistcs up to now. The proposers argue that such symposium is certainly timely and of great interest.
