Name: CHACAL 2024
Start: 2024-01-15T08:00:00+02:00
End: 2024-01-27T16:00:00+02:00
Location: No location set

Advanced ML for HEP

Career Development Q&A session with the lecturers

Challenges in HEP: Lessons learnt from the LHC

Challenges in HEP: Machine Learning

Challenges in HEP: Monte Carlo Event Generation

Coding Challenge: X boson continued

Coding Challenge: Searching for the 'X' boson in a toy analysis

Coding Challenge: X boson continued

Data analysis in HEP

Data/MC comparisons and Generator Tuning

Designing measurements for the LHC

Farewell and close-out

Funamentals of MC Generation (Part II)

Fundamentals of MC Generation (Part I)

Generating BSM physics events

High energy physics refresher: the SM, new physics and the LHC

Machine Learning synergies with business and industry

Monte Carlo Event Generation for Heavy Ions

Novel computing hardwares in HEP

Novel computing hardwares in HEP (Part 2)

Overview of machine learning techniques

Quantum Computing applications

Quantum Computing basics

Re-interpretation to exclude new physics: measurements

Re-interpretations to exclude new physics: Searches

Refresher on scientific computing: Python and working on a terminal

Refresher: C++ programming

Registration

SOCIAL: Farewell Dinner at Mike's

Statistics for HEP 1

Statistics for HEP 2

Supervised vs Unsupervised learning

TUORIAL: C++

TUTORIAL: Anomaly detection and clustering (part 1)

TUTORIAL: Anomaly detection and clustering (part 2)

TUTORIAL: Boosted Decision Tree and generic Machine Learning diagnostics for HEP

TUTORIAL: C++

TUTORIAL: Docker trial run, and basic Bash and Python

Tutorial: Monte Carlo Event Generation (Part I)

TUTORIAL: Monte Carlo integration using Python

Tutorial: More diagnostics and Neural Networks for HEP

TUTORIAL: Quantum Computing basics

TUTORIAL: Rivet/CONTUR

Validation and Hyper-Parameters in ML

Welcome

Welcome back: welcome by Wits VC Prof. Zeblon Vilakazi

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CHACAL 2024