ICALEPCS2019 - List of Authors (De Cataldo, G.)

Paper	Title	Page
MOMPR006	Performance of the ALICE Luminosity Leveling Software Architecture in the Pb-Pb Physics Run	167
MOPHA150	use link to see paper's listing under its alternate paper code
	G. Valentino University of Malta, Information and Communication Technology, Msida, Malta G. De Cataldo, M. Hostettler CERN, Meyrin, Switzerland A. Franco INFN-Bari, Bari, Italy O.B. Visnyei KFKI, Budapest, Hungary
	Luminosity leveling is performed in the ALICE experiment of the Large Hadron Collider (LHC) in order to limit the event pile-up probability, and ensure a safe operation for the detectors. It will be even more important during Run 3 when 50 KHz Pb ion-Pb ion (Pb-Pb) collisions will be delivered in IP2. On the ALICE side, it is handled by the ALICE-LHC Interface project, which also ensures an online data exchange between ALICE and the LHC. An automated luminosity leveling algorithm was developed for the proton-proton physics run, and was also deployed for the Pb-Pb run with some minor changes following experience gained. The algorithm is implemented in the SIMATIC WinCC SCADA environment, and determines the leveling step from measured beam parameters received from the LHC, and the luminosity recorded by ALICE. In this paper, the software architecture of the luminosity leveling software is presented, and the performance achieved during the Pb-Pb run and Van der Meer scans is discussed.
	Poster MOMPR006 [3.292 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOMPR006
About •	paper received ※ 30 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

MOMPR006

Performance of the ALICE Luminosity Leveling Software Architecture in the Pb-Pb Physics Run

167

MOPHA150

use link to see paper's listing under its alternate paper code

G. Valentino
University of Malta, Information and Communication Technology, Msida, Malta
G. De Cataldo, M. Hostettler
CERN, Meyrin, Switzerland
A. Franco
INFN-Bari, Bari, Italy
O.B. Visnyei
KFKI, Budapest, Hungary

Luminosity leveling is performed in the ALICE experiment of the Large Hadron Collider (LHC) in order to limit the event pile-up probability, and ensure a safe operation for the detectors. It will be even more important during Run 3 when 50 KHz Pb ion-Pb ion (Pb-Pb) collisions will be delivered in IP2. On the ALICE side, it is handled by the ALICE-LHC Interface project, which also ensures an online data exchange between ALICE and the LHC. An automated luminosity leveling algorithm was developed for the proton-proton physics run, and was also deployed for the Pb-Pb run with some minor changes following experience gained. The algorithm is implemented in the SIMATIC WinCC SCADA environment, and determines the leveling step from measured beam parameters received from the LHC, and the luminosity recorded by ALICE. In this paper, the software architecture of the luminosity leveling software is presented, and the performance achieved during the Pb-Pb run and Van der Meer scans is discussed.

Poster MOMPR006 [3.292 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOMPR006

About •

paper received ※ 30 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)