Terascale Statistics School 2025

Europe/Berlin
Seminarraum 4a/b (DESY Hamburg)

Seminarraum 4a/b

DESY Hamburg

Geb. 1
Andreas Hinzmann (CMS (CMS Fachgruppe Searches)), Dirk Kruecker (CMS (CMS Fachgruppe Searches)), Isabell Melzer-Pellmann (Deutsches Elektronen-Synchrotron DESY), Olaf Behnke (CMS (CMS Fachgruppe TOP))
Description

Closing words: 

  • Thank you for participating in the school! 
    • You have been an admirable and most attentive/responsive as well as patient audience!

 

  • Thanks to Roger, Glen, Tilman, Frank, Lydia and Kevin for their great Lectures and/or Tutorials! (Great stuff!)
  • Thanks to the local orga team:
    • our secretary, Inna, for the flawless/perfect administration of the school
    • Andreas, Isabell (general managers of  the Terascale Schools) and Dirk
    • Thanks to Sara, Dirk, Louis and Kuan for their support of the Python tutorials!

Please fill out/submit the survey: https://indico.desy.de/event/46667/surveys/ 

FInal statistics lesson: what distinguishes statisticians from other scientists?

Finally: have a safe trip back home and hope to see you sometimes again at DESY (e.g. for another Terascale schoolor workshop) or elsewhere!

Cartoon Sun Face Smile Vector Icon Royalty Free SVG, Cliparts, Vectors, and  Stock Illustration. Image 49674227.

This course focuses on statistical methods in particle physics. It is primarily designed for PhD students conducting physics data analysis at the LHC or other HEP experiments; however, it is also open to other interested students and post-doctoral researchers. The school covers key statistical analysis tasks in both theory and practice and includes in-depth lectures on areas of high relevance.

Topics:

  •  Probability
  •  Hypothesis testing
  •  Parameter estimation
  •  Confidence intervals
  •  Systematic uncertainties
  •  Theory uncertainties
  •  Machine Learning
  •  Unfolding
  •  Bayesian inference

Invited Lecturers: Roger Barlow, Glen Cowan,  Frank Tackmann, Tilman Plehn,  Lydia Brenner and Kevin Kroeninger

The program will primarily consist of lectures. For some topics, interactive computing exercises in Python are planned; technical details will be announced well in advance of the school.

The school fee is 100 Euro and includes conference dinner and coffee breaks.

The DESY Hostel must be booked by yourself (places are not guaranteed!)

It is expected that you bring your own laptop for the hands on sessions.

Organizing Committee:
I. Henning, A. Hinzmann, D. Kruecker, I. Melzer-Pellmann, O. Behnke

Terascale School Support
Participants
  • Ahmed Abdelmotteleb
  • Alexandros Mylonas
  • Annalisa Berti
  • Aryan Borkar
  • Beatrice Locatelli
  • Berenika Čermáková
  • Bhupesh Dixit
  • Caio Daumann
  • Cheng Jiang
  • Claudia Perez-Orive
  • Danaé Valdenaire
  • Daniel Werner
  • David Spülbeck
  • Felix Wersig
  • Firdaus Soberi
  • Gabriele Milella
  • Georgios Alexandris
  • Giorgos Christou
  • Glen Cowan
  • Jonas Hackfeld
  • KONSTANTINOS SPYROU
  • Leon Mans
  • Leonor Santos Pereira Trigo
  • Lukas Frédéric Bertsch
  • Lydia Brenner
  • Manal Alsairafi
  • Mathias Moors
  • Mathis Frahm
  • Max Hariegel
  • Mikail Direkçi
  • Mirac Noyan Oezdemir
  • Olaf Behnke
  • Quratulain Zahoor
  • Raffaele Delli Gatti
  • Rajeshwari Roy
  • Richard Volk
  • Roger Barlow
  • Saurav Bania
  • Stefan Katsarov
  • Stefanie Meinert
  • Tilman Plehn
  • Una Alberti
  • Vanessa Geier
  • Xilin Wang
  • +34
Surveys
School Evaluation
    • 1
      Registration Seminarraum 4a/b

      Seminarraum 4a/b

      DESY Hamburg

      Geb. 1
    • 2
      Welcome Seminarraum 4a/b

      Seminarraum 4a/b

      DESY Hamburg

      Geb. 1
      Speakers: Andreas Hinzmann (CMS (CMS Fachgruppe Searches)), Olaf Behnke (CMS (CMS Fachgruppe TOP))
    • 3
      Basics (Probabilities, Distributions, CLT) Seminarraum 4a/b

      Seminarraum 4a/b

      DESY Hamburg

      Geb. 1

      Lectures + Discussions

      Speaker: Roger Barlow (Huddersfield)
    • 15:00
      Coffee Break Seminarraum 4a/b

      Seminarraum 4a/b

      DESY Hamburg

      Geb. 1
    • 4
      Hypothesis Testing - basics Seminarraum 4a/b

      Seminarraum 4a/b

      DESY Hamburg

      Geb. 1

      Lecture + Discussion

      Speaker: Glen Cowan (RHUL)
    • 5
      Hypothesis testing - Tutorial Seminarraum 4a/b

      Seminarraum 4a/b

      DESY Hamburg

      Geb. 1

      Tutorial:
      Link to files: https://www.pp.rhul.ac.uk/~cowan/stat/exercises/

      Description/Tasksheet (file is also attached):
      https://www.pp.rhul.ac.uk/~cowan/stat/exercises/cowan_stat_exercises.pdf
      Today: Exercises on hypothesis testing 1a-1g, see p.32 ff

      Speaker: Glen Cowan (RHUL)
    • 6
      Parameter Estimation Seminarraum 4a/b

      Seminarraum 4a/b

      DESY Hamburg

      Geb. 1

      Lectures + Discussion

      Speaker: Roger Barlow (Huddersfield)
    • 10:00
      Coffee Break Seminarraum 4a/b

      Seminarraum 4a/b

      DESY Hamburg

      Geb. 1
    • 7
      Parameter Estimation - Tutorial Seminarraum 4a/b

      Seminarraum 4a/b

      DESY Hamburg

      Geb. 1

      Tutorial - Introduction to the Python code and practical exercises with it

      https://www.pp.rhul.ac.uk/~cowan/stat/exercises/cowan_stat_exercises.pdf
      Today: p4 ff
      Tutorial 1: Maximum Likelihood Fitting

      Speaker: Glen Cowan (RHUL)
    • 12:30
      Lunch Break Canteen (DESY)

      Canteen

      DESY

    • 8
      Hypothesis Testing - Limit Setting Seminarraum 4a/b

      Seminarraum 4a/b

      DESY Hamburg

      Geb. 1

      Lectures + Discussions

      Speaker: Glen Cowan (RHUL)
    • 15:30
      Coffee Break Seminarraum 4a/b

      Seminarraum 4a/b

      DESY Hamburg

      Geb. 1
    • 9
      Systematics Seminarraum 4a/b

      Seminarraum 4a/b

      DESY Hamburg

      Geb. 1

      Lectures + Discussions

      Speaker: Roger Barlow (Huddersfield)
    • 10
      Bayesian Parameter Estimation - Intro + Tutorial Seminarraum 2 (DESY)

      Seminarraum 2

      DESY

      Tutorial + introductory Lecture

      Speaker: Glen Cowan (RHUL)
    • 10:30
      Coffee Break Seminarraum 4a/b

      Seminarraum 4a/b

      DESY Hamburg

      Geb. 1
    • 11
      Systematics: Errors on Errors Seminarraum 2 (DESY)

      Seminarraum 2

      DESY

      Lecture + Discussion + Tutorial
      Solutions are at https://www.pp.rhul.ac.uk/~cowan/stat/exercises_full/

      Speaker: Glen Cowan (RHUL)
    • 12:30
      Lunch Break Canteen (DESY)

      Canteen

      DESY

    • 12
      Machine Learning I Seminarraum 2

      Seminarraum 2

      DESY Hamburg

      Lectures + Discussions
      https://www.thphys.uni-heidelberg.de/~plehn/pics/modern_ml.pdf
      https://github.com/heidelberg-hepml/ml-tutorials

      Speakers: Tilman Plehn (Heidelberg University), Tilman Plehn (Heidelberg University)
    • 16:00
      Coffee Break Seminarraum 4a/b

      Seminarraum 4a/b

      DESY Hamburg

      Geb. 1
    • 13
      Disasters in Statistical Inference in Particle Physics Seminarraum 2 (DESY)

      Seminarraum 2

      DESY

      Lecture + Discussion

      Speaker: Roger Barlow (Huddersfield)
    • 18:30
      School Dinner Canteen Extension 09a

      Canteen Extension 09a

      DESY Hamburg

    • 14
      Machine Learning II Seminarraum 2

      Seminarraum 2

      DESY Hamburg

      Lectures + Discussions

      Speakers: Tilman Plehn (Heidelberg University), Tilman Plehn (Heidelberg University)
    • 10:30
      Coffee Break Seminarraum 4a/b

      Seminarraum 4a/b

      DESY Hamburg

      Geb. 1
    • 15
      Theory Uncertainties Seminarraum 2 (DESY)

      Seminarraum 2

      DESY

      Lectures + Discussion

      Speaker: Frank Tackmann (T (Phenomenology))
    • 12:30
      Lunch Break Canteen (DESY)

      Canteen

      DESY

    • 16
      Unfolding Seminarraum 2 (DESY)

      Seminarraum 2

      DESY

      Lectures + Discussion

      Speaker: Lydia Brenner (Nikhef)
    • 16:00
      Coffee Break Seminarraum 4a/b

      Seminarraum 4a/b

      DESY Hamburg

      Geb. 1
    • 17
      Asymmetric uncertainties Seminarraum 2 (DESY)

      Seminarraum 2

      DESY

      Lectures + Discussion

      Speaker: Roger Barlow (Huddersfield)
    • 18
      Machine Learning III Seminarraum 2

      Seminarraum 2

      DESY Hamburg

      Lectures + Discussion

      Speakers: Tilman Plehn (Heidelberg University), Tilman Plehn (Heidelberg University)
    • 10:45
      Coffee Break Seminarraum 4a/b

      Seminarraum 4a/b

      DESY Hamburg

      Geb. 1
    • 19
      Modern Bayesian inference in practice Seminarraum 2 (DESY)

      Seminarraum 2

      DESY

      Lectures + Discussion

      Speaker: Kevin Kröninger (TU Dortmund)
    • 20
      Closing of school Seminarraum 2 (DESY)

      Seminarraum 2

      DESY

      Speakers: Andreas Hinzmann (CMS (CMS Fachgruppe Searches)), Olaf Behnke (CMS (CMS Fachgruppe TOP))
    • 12:30
      Lunch Break Canteen (DESY)

      Canteen

      DESY