IV International Workshop "Data life cycle in physics", DLC-2020

Session

Session 3

Jun 9, 2020, 9:00 AM

Indico / zoom

21. TAIGA: status, results and perspectives

Prof. Leonid Kuzmichev

6/9/20, 9:00 AM

We present the current status of very high-energy cosmic and gamma ray installation TAIGA at the Tunka Astrophysical Center situated at about 50 km from Lake Baikal. The deployment first stage insllation consits of 120 optical staion of HiSCORE array and 3 IACT will be finished in autumn of 2020. The last results of local sources observation during 2019 -2020a and plan for the further...

19. Tunka-Rex Virtual Observatory

Dmitriy Kostunin (DESY)

6/9/20, 9:30 AM

The Tunka Radio Extension (Tunka-Rex) is a cosmic-ray detector operating since 2012. The detection principle of Tunka-Rex is based on the radio technique, which impacts data acquisition and storage. We present the Tunka-Rex Virtual Observatory (TRVO), a framework for open access to the Tunka-Rex data, which currently is prepared for the first release.

22. Reconstruction radio signals from air-showers with autoencoder

Pavel Bezyazeekov

6/9/20, 9:45 AM

One of the main challenges related to the measurements of air-shower radio emission is the high background. Plenty of natural and anthropogenic RFI as well as stationary background distort air-shower pulse. Standard methods based on signal-to-noise ratio lead to increasing the threshold of air-shower detection. For extending the energy range towards lower energies we perform data denoising...

18. Development self-trigger algorithms for radio detection of air-showers

Oleg Fedorov (ISU)

6/9/20, 10:00 AM

The detection of extensive air-showers with radio method is a relatively young, but promising branch in experimental astrophysics of ultrahigh energies. This method allows one to carry out observations regardless of weather conditions and time of day, and the precision of reconstruction of the properties of primary particles is comparable to the classical methods. The main disadvantage of this...

20. Fast Simulation of Electromagnetic Calorimeter using Deep Learning

Mrs Jubna Irakkathil Jabbar

6/9/20, 10:15 AM

The simulation of particle showers in electromagnetic calorimeters with high precision is a computationally expensive and time consuming process. Fast simulation of particle showers using generative models have been suggested to significantly save computational resources. The objective of studies is to perform a fast simulation of particle showers in the Belle II calorimeters using deep...