Chania 2016

Chania, Greece, May 24-27, 2016

The conference was held in the impressive historic building of the Grand Arsenal, built by the Venetians in the 1600s. The building, which has been fully renovated and currently houses the Center of Mediterranean Architecture, includes a modern amphitheater of 150 people capacity, with all the required amenities, including modern audiovisual equipment and wifi connection.

Awards | Programme | Partners

Programme

The abstract book and the final program are available here:  abstract_book-Cosmo21_V2.3

The emphasis of the conference is on advances and methodological challenges in cosmology, and new results derived from advanced data analysis and modeling methods. Cosmology is entering a new area which will require processing of huge data sets, and measurements at the sub-percent level of accuracy in order to answer fundamental cosmological questions such as the nature of dark matter, dark energy and gravity. As ever, statistics will inevitably play a fundamental role in understanding the new generation of data, but with additional challenges of ever-increasing datasets and large parameter spaces.

Topics

• Cosmic microwave background: non-Gaussianity, component separation methods.
• Weak lensing: galaxy shape measurements, projected mass density map reconstruction, three-dimensional mapping of the dark matter, high order statistics, Euclid, LSST.
• Large-scale structure
• High redshift supernovae.
• Mapping high-z 21-cm radiation
• Lyman-alpha forest
• Astronomical discovery from overwhelmingly large datasets: BOSS, EUCLID, PAU, LAMOST, LOFAR, SKA, LSST and others.
• Statistical methods used in astronomical data analysis (including new developments coming from fertile cross-interactions in astrostatistics). A preliminary list of these methods is included below:
  • Bayesian methods, evidence, model selection.
  • Multivariate classification and clustering.
  • Sparsity: wavelets, compressive sampling, 2D and 3D data representations.
  • Machine learning for large multivariate datasets: Kernel regression, Support Vector Machine, neural networks, supervised learning.

There will be several sessions during the conference. Each session will have at least one keynote speaker, and half of the talks will be contributed talks. The cross-disciplinary nature of the symposium is reflected in the inclusion of speakers from the statistics community in the suggested list.

 COSMO21 PROGRAM

POSTER PRESENTATIONS

See also the COSMO21 best poster prize web page

Partners