Name: Terascale Statistics School 2026
Start: 2026-02-23T00:30:00+01:00
End: 2026-02-27T14:00:00+01:00
Location: DESY Hamburg

Terascale Statistics School 2026

from Monday 23 February 2026 (00:30) to Friday 27 February 2026 (14:00)

Monday 23 February 2026

13:30 Registration
Registration
13:30 - 13:55
Room: Seminarraum 4a/b
13:55 Opening (Welcome) - Andreas Hinzmann (CMS (CMS Fachgruppe Searches)) Olaf Behnke (CMS (CMS Fachgruppe TOP))
Opening (Welcome)
- Andreas Hinzmann (CMS (CMS Fachgruppe Searches))
- Olaf Behnke (CMS (CMS Fachgruppe TOP))
13:55 - 14:00
Room: Seminarraum 4a/b
14:00 Afternoon Session
Afternoon Session
14:00 - 18:00
Room: Seminarraum 4a/b
Contributions

14:00 Basics: Probabilities, fundamental distributions, Central Limit Theorem etc. (Lecture) - Roger Barlow (Huddersfield)

16:00 Hypothesis Testing - Intro (Lecture + Tutorial) - Glen Cowan (RHUL)
Tuesday 24 February 2026
09:00 Morning session
Morning session
09:00 - 12:30
Room: Seminarraum 4a/b
Contributions

09:00 Parameter Estimation (Lecture) - Roger Barlow (Huddersfield)

11:00 Parameter Estimation (Tutorial) - Glen Cowan (RHUL)
12:30 Lunch Break
Lunch Break
12:30 - 14:00
Room: Seminarraum 4a/b
14:00 Afternoon session
Afternoon session
14:00 - 17:30
Room: Seminarraum 4a/b
Contributions

14:00 Hypothesis Testing - Limit Setting (Lecture + Tutorial) - Glen Cowan (RHUL)

16:00 Hypothesis Testing - Limit Setting (Lecture + Tutorial) - Glen Cowan (RHUL)
Wednesday 25 February 2026
09:00 Morning Session
Morning Session
09:00 - 12:30
Room: Seminarraum 4a/b
Contributions

09:00 Bayesian Parameter Estimation (Lecture + Tutorial) - Glen Cowan (RHUL)

11:00 Systematic Uncertainties (Lecture) - Roger Barlow (Huddersfield)
12:30 Lunch Break
Lunch Break
12:30 - 14:00
Room: Seminarraum 4a/b
14:00 Afternoon Session
Afternoon Session
14:00 - 17:30
Room: Seminarraum 4a/b
Contributions

14:00 Errors on Errors (Lecture + Tutorial) - Glen Cowan (RHUL)

16:00 To be decided end of January: Either overflow session for Glen Cowan's Tutorials or first lecture slot on Machine Learning, by Stephen Jiggins - Glen Cowan (RHUL)
18:30 School Dinner
School Dinner
18:30 - 21:00
Room: Seminarraum 4a/b
Thursday 26 February 2026
09:00 Morning Session
Morning Session
09:00 - 12:30
Room: Seminarraum 4a/b
Contributions

09:00 Machine Learning I (Lecture + Tutorial) - Stephen Jiggins (ATLAS (ATLAS-Experiment))

11:00 Machine Learning II (Lecture + Tutorial) - Stephen Jiggins (ATLAS (ATLAS-Experiment))
12:30 Lunch Break
Lunch Break
12:30 - 14:00
Room: Seminarraum 4a/b
14:00 Afternoon Session
Afternoon Session
14:00 - 17:30
Room: Seminarraum 4a/b
Contributions

14:00 Unfolding I (Lecture + Tutorial) - Lydia Brenner (DESY) Lydia Brenner (Nikhef)

16:00 Unfolding II (Lecture + Tutorial) - Lydia Brenner (DESY) Lydia Brenner (Nikhef)
Friday 27 February 2026
09:00 Morning Session and closing
Morning Session and closing
09:00 - 12:40
Room: Seminarraum 4a/b
Contributions

09:00 Machine Learning III (Lecture + Tutorial) - Stephen Jiggins (ATLAS (ATLAS-Experiment))

11:00 Machine Learning IV (Lecture + Turorial) - Stephen Jiggins (ATLAS (ATLAS-Experiment))

12:30 Closing of the School - Andreas Hinzmann (CMS (CMS Fachgruppe Searches)) Olaf Behnke (CMS (CMS Fachgruppe TOP))

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