HEPP Workshop 2019

Session

Session V

1 Feb 2019, 09:00

Room 0017 (Nelson Mandela University)

6. ALICE Muon Identifier User Logic for Common Readout Unit

Mr Nathan Boyles (University o Cape Town)

01/02/2019, 09:00

This project concerns the development of the Common Readout Unit (CRU) user logic for the Muon Identifier (MID) of the ALICE detector. In light of the upgrades to the Large Hadron Collider (LHC) resulting in increased data throughput the ALICE MID requires an upgrade of its Data Acquisition chain, most notably a move from the legacy triggered readout method to a continuous readout method. The...

10. ALICE Muon Tracking Chambers low-voltage system upgrade

Mr Rony Kuriakose (iThemba LABS, National Research Foundation)

01/02/2019, 09:20

The low-voltage power supply system upgrade project primarily focuses on the requirements of the new Front-end Electronics (FEE) along with vital power distribution considerations to achieve a robust and effective low-voltage power supply system for the new FEE. The new FEE (DualSAMPA and SOLAR) are designed to have a much higher power consumption compared to the present FEE. For this purpose,...

25. Overview of test beam campaigns for the readout electronics demonstrator of the upgrade Tile Calorimeter of the ATLAS detector

Mr Thabo Masuku (University of the Witwatersrand), Nthabiseng Miranda Lekalakala (University of the Witwatersrand (ZA))

01/02/2019, 09:40

A series of Test-Beam setup campaigns took place since 2015 until 2018 where the LHC has been shut down for the next 2 years (LHC Long Shut down). During the Test-Beam campaigns the phase-II upgrade electronic prototypes have been evaluated and to help with estimate provisions for future commissioning efforts. The primary objective of the Test-Beam campaigns for ATLAS Tile Calorimeter...

19. The ATLAS Tile Calorimeter LVPS hardware upgrade and testing

Edward Khomotso Nkadimeng (University of the Witwatersrand (ZA))

01/02/2019, 10:00

This proceeding presents the design and production of the testing stations to examine the reliability and quality of the Tile Calorimeter LVPS (Low Voltage Power Supplies), which will power the next generation of upgraded hardware in the TileCal (Tile Calorimeter) system of ATLAS at CERN. A LVPS brick is subjected to a stressed environment where the load and temperature are both elevated. In...

27. Development and data analysis of a low power radio-frequency wireless mesh network.

Mr Rorisang Sitoboli (University of the Witwatersrand)

01/02/2019, 10:20

In this study, a wireless radio-frequency mesh network was set up in an indoor environment, namely, the School of Physics building. The purpose of the wireless mesh network (WMN) was to enable data to be communicated between the routers or nodes located within the coverage area. Data comprising of latency, outlier ratios, number of hops and packet delivery ratios was collected and analyzed...

22. Machine Learning in the search for new heavy resonances decaying to $Z\gamma$ with the ATLAS detector

Nkateko Baloyi (University of the Witwatersrand (ZA))

01/02/2019, 11:10

The search for new physics beyond the standard model is vital for ATLAS experiments to answer fundamental questions concerning laws of interactions and forces. This study searches for heavy resonances decaying to $Z\gamma$ in association with missing energy using data of the LHC proton-proton collisions at a centre of mass of 13 TeV collected by the ATLAS experiment. Using the multivariate...

18. Application of Boosted Decision Trees in the search for a new boson decaying into $Z+\gamma$ final state

Ntsoko Phuti Rapheeha (University of the Witwatersrand (ZA))

01/02/2019, 11:30

Motivated by strong deviations in the production of multiple leptons at the Electroweak (EW) scale we attempt a search for a resonance, which could provide a direct evidence for new physics Beyond the Standard Model (BSM). Here we attempt a search for a resonance in the Z and photon system in association with jets and missing transverse energy. For BSM studies missing transverse energy is a...

28. Discriminating quark and gluon initiated jets using random forest machine learning techniques.

Kokotla Rapetsoa (University of the Witwatersrand (ZA))

01/02/2019, 11:50

This project studies the use of random forest algorithm in discriminating jets initiated by quark or gluons. Jets are collimated flow of hadrons from quarks and gluons produced in collisions clustered using dedicated algorithm. The random forest which is an ensemble decision tree is discussed in detail on why it is suitable to this kind of data. Monte Carlo generated dataset is used to train...

21. Search for dark matter with machine learning with the ATLAS detector

Mr Audrey Thabang Magabe (University of the Witwatersrand (ZA))

01/02/2019, 12:10

High-energy particle physics experiments usually involve retrieving useful and interesting event data out of extremely large data sets where in most cases there is less signal and more background. To produce the best possible experimental results it is desirable to optimally discriminate between signal and background. The Toolkit for Multivariate Analysis (TMVA) within ROOT provides many...

20. Applications of Machine Learning techniques in mono-higgs searches

Mr Moratwe Mdluli (University of the Witwatersrand (ZA))

01/02/2019, 12:30

A search for the Dark Matter (DM) in association with the Standard Model like Higgs boson was performed during the 2015 and 2016 data. In this analysis we use Multivariate Analysis (MVA) methods to suppress the fake missing transverse energy, using the Boosted Decision Tree (BDT) we are able to enhance the regression performance of typically weak MVA methods for the DM search. We scan the...

23. The use of Machine Learning in the search for di-photons in association with missing energy

Theodore Cwere Gaelejwe (University of the Witwatersrand (ZA))

01/02/2019, 12:50

The discovery of the Higgs boson in 2012 completed the Standard Model and plays a crucial role in studies of theories beyond the Standard Model (BSM). The Madala Hypothesis is one example of BSM model and puts forward a new Heavy scalar (H) to explain anomalies observed in Run 1 and Run 2 data of the LHC. The Heavy scalar H can decay to a Higgs boson in association with jets, leptons and...