4-8 September 2023
Africa/Johannesburg timezone
The Registrations for TIPP2023 are now being re-directed to the TIPP2023.org Portal, from which you can also make Payments

ATLAS Tile Calorimeter Temperature Data Analysis on a Continuous Basis

5 Sep 2023, 17:00
20m
Auditorium 2

Auditorium 2

Oral Presentations C1

Speaker

Lungisani Phakathi (UNIZULU & iThemba Lab)

Description

This paper compares the historical temperature data of the ATLAS Tile Calorimeter (TileCal)
drawers, extracted from the Detector Control System (DCS). ATLAS TileCal is an experimental
tool used in particle physics for measuring the energy of particles. The TileCal DCS
continuously monitors all the hardware and infrastructure for each subsystem. The Tile-in-
One (TiO) tool is used to visualize and analyze this temperature study. The TiO is a collection
of small, independent web tools called plugins. Plugins assess the quality of data and
conditions for ATLAS TileCal. A change in temperature inside the drawers alters the
photomultiplier tube (PMT) gain, resulting in readout electronics that give null results or data
with lots of errors. Implying that those results may not be used for physics data. The TileCal
drawers are water-cooled using a circuit below atmospheric pressure to prevent leaks,
maintain stable temperatures, maintain constant PMT gain, and finally, maintain the stability
of the electronics. A comparative analysis is done to determine the development of the leaks
or improvements achieved in the cooling system and the stable values of the temperature in
the drawers. The work aims to continuously study the variation of temperature in the module
over a short period of time using the TiO platform and display it to a user in a friendly and
intuitive manner using contemporary web technologies. The DCS provides temperature data
through a dedicated interface called the DCS Data Viewer (DDV). The TiO temperature plugin
is being developed by having the proper scripts that will easily query TileCal DCS using the
DDV server. Currently, the temperature data is extracted and subsequently transformed into
a form suitable for the visualizing library. The plots can be interacted with using the
visualization tool. The biggest focus is on having the temperature plugin be stable and be able
to display the status of the whole detector to be able to detect temperature problems at an
early stage.

Primary authors

Lungisani Phakathi (UNIZULU & iThemba Lab) Mr Juraj Smiesko (aculty of Mathematics and Physics, Institute of Particle and Nuclear Physics, Charles University) Mr Filipe Martins (Laborat ́orio de Instrumenta ̧c ̃ao e F ́ısica Experimental de Part ́ıculas) Dr Betty Kibirige (epartment of Physics and Engeneering, University of Zululand, kwaDlangezwa campus, kwaZulu natal, South Africa)

Presentation Materials