Experimental Collider Physics

Professores

Duração

Audiência

Matrícula

aqui

Pré-requisitos Recomendados

Formato do Curso

Bibliografia

1. Practical Collider Physics, A. Buckley, C. White, and M. White (IOP Publishing Ltd, 2021) --- livro texto.
2. Experimental Particle Physics, D. Kar (IOP Publishing Ltd, 2019)
3. Particle Physics in the LHC Era, G. Barr, R. Devenish, R. Walczak, and T. Weidberg (Oxford University Press, 2016)
4. Experimental Techniques in Nuclear and Particle Physics, S. Tavernier ( Springer-Verlag, 2010)
5. Advanced Instrumentation, edited by A. Sharma, Nuclear Instruments and Methods in Physics Research A 666 (2012)

Programa do Curso

1. From Theory to Experiment

• 1.1 Perturbation Theory, Resummation and Parton showers
• 1.2 Hadronisation and Underlying event
• 1.3 Jet algorithms, Parton showers and NLO matrix elements

2. Statistics

• 2.1 Probability
• 2.2 Correlations
• 2.3 Statistical Estimators
• 2.4 Bayesian and Frequentist inference
• 2.5 Sampling
• 2.6 Frequentist Hypothesis testing
• 2.7 Bayesian Hypothesis testing
• 2.8 Multivariate methods and machine learning

3. Detection and Reconstruction

• 3.1 Detector Technologies and Trigger
• 3.2 Particle Reconstruction
• 3.3 Rogue Signals

4. Data Processing

• 4.1 Event Generation
• 4.2 Detector Simulation and Digitization
• 4.3 Reconstruction, Analysis-data Processing and Visualisation

5. Data Analysis

• 5.1 Data-taking, Object Definition and Event Selection
• 5.2 Observables
• 5.3 Performance Optimisation
• 5.4 Background Estimation
• 5.5 Uncertainties

6. Particle Searches

• 6.1 Diphoton Resonance Search
• 6.2 Jet Resonance Search
• 6.3 Semi-invisible Particle Searches: General Strategy
• 6.4 Accurate background modeling and LHC data

7. High-precision Measurements

• 7.1 Fiducial Definitions, Volumes and Cross-sections
• 7.2 Complex Object Reconstruction
• 7.3 Detector corrections and unfolding

8. Analysis Preservation and Reinterpretation

• 8.1 Global Statistical Fits and Reinterpreting Particle Searches
• 8.2 Analysis Preservation and Open Data

1. Introdução

• 1.1 Introdução, Motivação e Convenções