Technology & Instrumentation in Particle Physics (TIPP2023)

Session

B5

5 Sep 2023, 11:00

Conveners

B5: Simulation and Machine Learning Experience

• Edward Nkadimeng (University of the Witwatersrand)

Contribution list Timetable

7. Ultimate precision of a tracking system in future high energy experiments

Gang LI (Institute of High Energy Physics, Chinese Academy of Sciences)

05/09/2023, 11:00

One of the top goals of a high energy experiment is to perform precision tests on the Standard Model and probe new physics beyond the Standard Model. Therefore, it is essential to precisely measure the momenta and impact parameters of charged tracks. Because of the rapid advancement of technology, excellent tracking systems could be built. The most accurate silicon pixel tracker is approaching...

171. The use of Machine learning to improve quality control for the ATLAS Phase-II Upgrade LVPS bricks at CERN

Khathutshelo Phadagi (iThemba Labs)

05/09/2023, 11:20

Oral Presentations

Abstract. The Tile Calorimeter (TileCal), a sampling hadronic calorimeter covering the central region of the ATLAS experiment, will require new electronics to meet the requirements of the High-Luminosity LHC (HL-LHC). This talk will demonstrate how deep neural networks can improve quality control of the new Low Voltage Power Supply (LVPS) boards in the contest of the ATLAS Phase-II Upgrade...

209. Exploring the structure of hadronic showers and the hadronic energy reconstruction with highly granular calorimeters

Roman Poeschl (IJCLab, France)

05/09/2023, 11:40

Prototypes of electromagnetic and hadronic imaging calorimeters
developed and operated by the CALICE collaboration provide an
unprecedented wealth of highly granular data of hadronic showers for a
variety of active sensor elements and different absorber materials. In
this presentation, we discuss detailed measurements of the spatial and
the time structure of hadronic showers to...

125. Deep learning techniques for energy clustering in the CMS electromagnetic calorimeter

Dr Polina Simkina (CEA)

05/09/2023, 12:00

Oral Presentations

The reconstruction of electrons and photons in the Compact Muon Solenoid (CMS) detector depends on topological clustering of the energy deposited by an incident particle in different crystals of the electromagnetic calorimeter (ECAL). These clusters are formed by aggregating neighbouring crystals according to the expected topology of an electromagnetic shower in the ECAL.

The presence of...

198. Using NLP for Hardware Quality Control by predicting Alert Signals from Particle Accelerator Detectors

Nicholas Perikli

05/09/2023, 12:20

Oral Presentations

By Nicholas Perikli
School of Physics and Institute for Collider Particle Physics, University of the Witwatersrand, Johannesburg, South Africa

Abstract.
Particle physics data consists of patterns in measurements that can be separated into hot topics and more mundane data. This approach is analogous to looking for keywords or topics in huge text data by separating more specific words...