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May 8 – 12, 2023
Norfolk Waterside Marriott
US/Eastern timezone

From hyperons to hypernuclei online

May 8, 2023, 12:15 PM
15m
Marriott Ballroom V-VI (Norfolk Waterside Marriott)

Marriott Ballroom V-VI

Norfolk Waterside Marriott

235 East Main Street Norfolk, VA 23510
Oral Track 2 - Online Computing Track 2 - Online Computing

Speaker

Prof. Kisel, Ivan (Goethe University Frankfurt am Main)

Description

The fast algorithms for data reconstruction and analysis of the FLES (First Level Event Selection) package of the CBM (FAIR/GSI) experiment were successfully adapted to work on the High Level Trigger (HLT) of the STAR (BNL) experiment online. For this purpose, a so-called express data stream was created on the HLT, which enabled full processing and analysis of the experimental data in real time.

With this express data processing, including online calibration, reconstruction of tracks and short-lived particles, as well as search and analysis of hyperons and hypernuclei, approximately 30% of all the data collected in 2019-2021 within the Beam Energy Scan (BES-II) program at energies down to 3 GeV has been processed on the free resources of the HLT computer farm.

A block diagram of the express data processing and analysis will be presented, particular features of the online calibration and application of the reconstruction algorithms, work under pile-up conditions at low collision energies in the fixed-target mode, and results of the real-time search for hyperons and hypernuclei up to $^5_\Lambda$He with 11.6$\cdot\sigma$ at HLT will be presented and discussed. The high quality of the express data enabled preliminary analysis results in several physics measurements.

Consider for long presentation No

Primary authors

Prof. Kisel, Ivan (Goethe University Frankfurt am Main) Dr Fisyak, Yuri (Brookhaven National Laboratory) Dr Ke, Hongwei (Brookhaven National Laboratory) Dr Kisel, Pavel (Goethe University Frankfurt am Main) Dr Kozlov, Grigory (Goethe University Frankfurt am Main) Prof. Margetis, Spyridon (Kent University) Dr Tang, Aihong (Brookhaven National Laboratory)

Presentation materials