Sparse Digital Radio Arrays 2020

Session

Data Science in Astroparticle

Mar 26, 2020, 3:00 PM

Conference hall (INR RAS)

15. Machine learning overview

Dr Andrey Ustyuzhanin

3/26/20, 3:00 PM

16. Autoencoder for Tunka-Rex

Pavel Bezyazeekov

3/26/20, 4:00 PM

17. Machine learning in X5 retail group

Dmitry Shipilov

3/26/20, 4:15 PM

18. Towards a global analysis and data centre for multi-messenger astroparticle physics

Andreas Haungs (KIT)

3/26/20, 4:45 PM

Multi-messenger astroparticle physics is an important approach to understand the physical processes in our high-energy universe. This approach requires - besides large and great experiments on the different messengers - a collection point of data and methods to be applied for efficient multi-messenger analyses. Several initiatives are pursuing the establishment of such a distributed analysis...

5. Distributed aggregation, analysis and publication of heterogeneous astroparticle data

Victoria Tokareva (KIT)

3/26/20, 5:15 PM

German-Russian Astroparticle Data Life Cycle Initiative (GRADLCI) is an international initiative aiming at automation of the maintenance of astroparticle-physics data throughout their entire life cycle, which includes gathering, processing, aggregation, analysis, storage and publication of data. In the talk we discuss the current status of software development in the framework of the project.