Automatic data processing for Baikal-GVD neutrino observatory

18 may. 2021 18:00
20m
Valencia

Valencia

VLVnT 2021 | Parallel Session Room A https://cern.zoom.us/j/62997581748
Methods and tools Methods and tools

Ponente

Bair Shaybonov (JINR)

Descripción

Baikal-GVD is a gigaton-scale neutrino observatory under construction in Lake Baikal. It currently produces about 100GB of data every day. For their automatic processing, the Baikal Analysis and Reconstruction software (BARS) was developed. At the moment, it includes such stages as a hit extraction from PMT waveforms, assembling events from raw data, assigning timestamps to events, determining the position of the optical modules using an acoustic positioning system, muon track and cascade reconstruction, as well as the alert signal generation. These stages are implemented as C++ programs which are executed sequentially one after another and can be represented as a directed acyclic graph. The most resource-consuming programs run in parallel to speed up processing. A separate Python package based on the luigi package is responsible for program execution control. Additional information like program execution status, run metadata etc are saved into a central database and then displayed on the dashboard. Results can be obtained several hours after the run completion.

Affiliation JINR

Autor primario

Materiales de la presentación

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