Astro@Stats 2017: Sino-Italian Workshop on Astrostatistics

Session

J.C.F. Gauss

8 Sept 2017, 09:30

SC140 (Department of Statistical Sciences)

Conveners

J.C.F. Gauss: Astrophysics meets Statistics

• Alessandra R. Brazzale (University of Padova)

Description

Astrophysics meets Statistics

3. Investigating the Cosmic Web with Topological Data Analysis

Jessi Cisewski-Kehe (Yale University)

08/09/2017, 09:30

Data exhibiting complicated spatial structures are common in many areas of science (e.g. cosmology, biology), but can be difficult to analyze. Persistent homology is a popular approach within the area of Topological Data Analysis (TDA) that offers a new way to represent, visualize, and interpret complex data by extracting topological features, which can be used to infer properties of the...

4. Quasars: the Beacons of the Universe and the Challenge for Machine Learning

Maria Süveges (Max Planck Institute for Astronomy Heidelberg)

08/09/2017, 10:00

5. Photometric Classification of Supernova with a Biased Training Set

David Van Dyk (Imperial College London)

08/09/2017, 10:30

The expansion of the Universe can be studied via a Bayesian model that relates the difference between the apparent and intrinsic brightnesses of objects to their distance which in turn depends on parameters that describe this expansion. While apparent brightness can be readily measured, intrinsic brightness can only be obtained for certain objects. Type Ia Supernova (SNIa) occur when...