Physics:Quantum data analysis/Statistical Significance and Discovery

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Statistical Significance and Discovery represented as a compact particle-physics data analysis workflow.

Index

Foundations and experiments

1. Introduction to Particle Physics

2. Nuts and Bolts

3. Overview of Particle Collision Experiments

4. Collision Kinematics and Complex Observables

5. Basic Measurements

6. Data Acquisition Electronics and Systems

7. Event Reconstruction

8. Monte Carlo Simulations

Analysis, measurements and discovery

9. General Statistical Methods and Data Visualisation

10. Standard Model Measurements

11. Searches for New Physics

12. Data Processing Techniques

13. Fit Optimisation Techniques

14. Advanced Data Comprehension Techniques

15. Machine Learning

Full contents

1. Introduction to Particle Physics (5) Back to index

1. Physics:Quantum data analysis/History of HEP experiments

2. Physics:Quantum data analysis/List of Software Programs used in Particle Physics

3. Physics:Quantum data analysis/Software and Data Used in This Book

4. Physics:Quantum data analysis/Theory of Particle Collisions

5. Physics:Quantum data analysis/Why Study Elementary Collisions

2. Nuts and Bolts (4) Back to index

6. Physics:Quantum data analysis/Cross Sections

7. Physics:Quantum data analysis/Particle Decays

8. Physics:Quantum data analysis/Relativistic Kinematics

9. Physics:Quantum data analysis/Scattering Studies

3. Overview of Particle Collision Experiments (3) Back to index

10. Physics:Quantum data analysis/Future Experiments

11. Physics:Quantum data analysis/Overview of Modern Experiments

12. Physics:Quantum data analysis/Overview of Previous Experiments

4. Collision Kinematics and Complex Observables (8) Back to index

13. Physics:Quantum data analysis/Correlation Functions

14. Physics:Quantum data analysis/Differential Correlation functions

15. Physics:Quantum data analysis/Event Flows

16. Physics:Quantum data analysis/Integral Correlation functions

17. Physics:Quantum data analysis/Jets

18. Physics:Quantum data analysis/Kinematics of Particle Collisions

19. Physics:Quantum data analysis/Moments

20. Physics:Quantum data analysis/Single and Two Particle Densities

5. Basic Measurements (4) Back to index

21. Physics:Quantum data analysis/Calorimetry

22. Physics:Quantum data analysis/Event Measurements

23. Physics:Quantum data analysis/Particle Identification Techniques

24. Physics:Quantum data analysis/Tracking

6. Data Acquisition Electronics and Systems (1) Back to index

25. Physics:Quantum data analysis/Data Acquisition Electronics and Systems

7. Event Reconstruction (3) Back to index

26. Physics:Quantum data analysis/Data Workflows

27. Physics:Quantum data analysis/Event Reconstruction Workflows

28. Physics:Quantum data analysis/Structure of Experimental Data

8. Monte Carlo Simulations (4) Back to index

29. Physics:Quantum data analysis/Basic Principles

30. Physics:Quantum data analysis/Detector simulations

31. Physics:Quantum data analysis/Pseudorandom Number Generation

32. Physics:Quantum data analysis/Theory Event Generation

9. General Statistical Methods and Data Visualisation (6) Back to index

33. Physics:Quantum data analysis/Basic Descriptive Statistics

34. Physics:Quantum data analysis/Comparing Data and Theory

35. Physics:Quantum data analysis/Event Displays of Collision Events

36. Physics:Quantum data analysis/Histogram Comparisons

37. Physics:Quantum data analysis/Histograms

38. Physics:Quantum data analysis/Scatter Plots

10. Standard Model Measurements (6) Back to index

39. Physics:Quantum data analysis/Cross Section Measurements

40. Physics:Quantum data analysis/Differential Cross Sections

41. Physics:Quantum data analysis/Experimental Uncertainties and Errors

42. Physics:Quantum data analysis/Particle Property Measurements

43. Physics:Quantum data analysis/Signal Correction Techniques

44. Physics:Quantum data analysis/Experimental Considerations

11. Searches for New Physics (4) Back to index

45. Physics:Quantum data analysis/Analysis Methods for Searches

46. Physics:Quantum data analysis/Limit Settings

47. Physics:Quantum data analysis/Search Techniques

48. Physics:Quantum data analysis/Statistical Significance and Discovery

12. Data Processing Techniques (4) Back to index

49. Physics:Quantum data analysis/Analysing ROOT trees

50. Physics:Quantum data analysis/Analysing events in various formats

51. Physics:Quantum data analysis/Event Processing on Multiple Cores

52. Physics:Quantum data analysis/Limitations of IO and Benchmarks

13. Fit Optimisation Techniques (4) Back to index

53. Physics:Quantum data analysis/Kinematic Fits

54. Physics:Quantum data analysis/Linear Regression

55. Physics:Quantum data analysis/Model Fitting

56. Physics:Quantum data analysis/Non Linear Regression

14. Advanced Data Comprehension Techniques (3) Back to index

57. Physics:Quantum data analysis/Fast Fourier Transforms

58. Physics:Quantum data analysis/Filtering

59. Physics:Quantum data analysis/Principle Component Analysis

15. Machine Learning (1) Back to index

60. Machine Learning

References

Author: Sergei V. Chekanov

Author: Claude Pruneau

Author: Harold Foppele

Source attribution: Physics:Quantum data analysis/Statistical Significance and Discovery