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)
)