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Methods in Experimental Particle Physics

Università degli Studi di Roma "La Sapienza"

A.A. 2019/20

Prof. A. Di Domenico



 

Lectures

Professor Degree time day place beginning
A. Di Domenico Master in Physics 10-12
10-12
(16-18)
Monday
Friday
(Thursday)
Aula Rasetti 24 February 2020
(from 16 April 2020)

Calendar

Week Month Mon Tue Wed Thu Fri
1 February 24 Lect. n.1 (10-12) 25 26 27 28 Lect. n.2 (10-12)
2 March 2 Lect. n.3 (10-12) 3 4 5 6 Lect. n.4 (10-12) (due to Covid-19)
3 March 9 Lect. n.5 (10-12) (due to Covid-19) 10 11 12 13 Lect. n.6 (10-12)
4 March 16 Lect. n.7 (10-12) 17 18 19 20 Lect. n.8 (10-12)
5 March 23 Lect. n.9 (10-12) 24 25 26 27 Lect. n.10 (10-12)
6 March/April 30 Lect. n.11 (10-12) 31 1 2 3
7 April 6 Lect. n.12 (10-12) 7 8 9 10
8 April 13 14 15 16 Lect. n.13 (16-18) 17 Lect. n.14 (10-12)
9 April 20 Lect. n.15 (10-12) 21 22 23 Lect. n.16 (10-12) 24 Lect. n.17 (10-12)
10 April/May 27 Lect. n.18 (10-12) 28 29 30 Lect. n.19 (16-18) 1 Lect. n.20 (10-12)
11 May 4 Lect. n.21 (10-12) 5 6 7 Lect. n.22 (16-18) 8
12 May 11 Lect. n.23 (10-12) 12 13 14 Lect. n.24 (16-18) 15 Lect. n.25 (10-12)
13 May 18 Lect. n.26 (10-12) 19 20 21 Lect. n.27 (16-18) 22 Lect. n.28 (10-12)
14 May 25 Lect. n.29 (10-12) 26 27 28 Lect. n.30 (16-18) 29 Lect. n.31 (10-12)
15 June 1 Lect. n.32 (10-12) 2 3 4 Lect. n.33 (16-18) 5 Lect. n.34 (10-12)
16 June 8 Lect. n.35 (10-12) 9 10 11 Lect. n.36 (16-18) 12 Lect. n.37 (10-12) - written test



Material

Part 1 Introduction 01_MEPP1900_introduction_7.pdf
Part 2 Probability and Statistics: recap 1 02_MEPP1900_stat1_4.pdf
Probability and Statistics: recap 2 03_MEPP1900_stat2_3.pdf
Part 3 The Logic of a Particle Physics experiment: part I 04_MEPP1900_logic-I_12.pdf
The Logic of a Particle Physics experiment: part II 05_MEPP1900_logic-II_6.pdf
Homeworks 1-3 (deadlines - n.1: April 6th 2020 - n.2,3: April 20th 2020) MEPP1900_homeworks1.pdf
mepp1900_hw1_convol_1.pdf
Observables: part I 06_MEPP1900_observables-I_6.pdf
Observables: part II 07_MEPP1900_observables-II_4.pdf
Homework 4 (deadline May 8th) MEPP1900_homeworks2_3.pdf
Part 4 The Monte Carlo method 08_MEPP1900_Montecarlo_3.pdf
Example [file 1] [file 2] [file 3] [file 4]
Part 5 Advanced statistics - I 09_MEPP1900_stat-I_3.pdf
Homework 5 (deadline 22nd May) MEPP1900_homeworks5_1.pdf
Advanced statistics - II 10_MEPP1900_stat-II_3.pdf
Advanced statistics - III 11_MEPP1900_stat-III_3.pdf
Advanced statistics - IV 12_MEPP1900_stat-IV_7.pdf
Homework 6 (deadline: June 1st) MEPP1900_homeworks6_1.pdf
Advanced statistics - V 13_MEPP1900_stat-V_6.pdf
Kinematic fit 14_MEPP1900_kinefit_4.pdf
Introduction to machine learning (Seminar: S. Giagu) AI_ML_Giagu_2020.pdf
Part 6 Colliders 15_MEPP1900_colliders_8.pdf
Experiments - I 16_MEPP1900_experiments-I_5.pdf
Experiments - II 17_MEPP1900_experiments-II_3.pdf
Experiments - III 18_MEPP1900_experiments-III_3.pdf
Experiments - IV 19_MEPP1900_experiments-IV_4.pdf
Experiments - V (Seminar: B. Sciascia - The LHCb experiment) Bsmumu_2020.pdf
Auxiliary material Problems with solutions (C. Bini) ExercisesMEPP1.pdf
Notes on Advanced Statistics (C. Bini) StatMEPP1.pdf
List of suggested papers for the oral exam listapapers3.pdf

 

Additional information and material

Sapienza e-learning web site
Sapienza course catalogue web site