Speaker
Kirill Kurinov
(INR RAS)
Description
As part of the high-altitude LHAASO project, ENDA (Electron Neutron Detector Array) is being created in China. The concept of the ENDA consists in simultaneous registration of the electromagnetic and thermal neutron components (being a part of hadronic component) of the EAS. The report provides a brief overview of analytical and ML (Machine Learning) methods for shower and primary particle parameters reconstruction for simulation data. Also methods for estimation the uncertainty of such reconstruction is presented.
Primary author
Kirill Kurinov
(INR RAS)
