CMS Physics Object & Data Analysis School (PO&DAS) 2023

9 Oct 2023, 09:00 → 18 Oct 2023, 18:15 Europe/Berlin

DESY

Alexander Grohsjean (CMS - University of Hamburg), Andreas Hinzmann (CMS (CMS Fachgruppe Searches)), Matthias Komm (CMS (CMS Fachgruppe Searches)), Patrick Connor (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik) & CDCS)

We are happy to announce the first edition of the Physics Object & Data Analysis School. It will take place from Monday 9 to Wednesday 18-October in person in Hamburg on the DESY campus. Registration fee for the workshop is 250 EUR (including coffee breaks and conference dinner but excluding accommodation and other meals).

 

The PO&DAS may be seen as an extended version of the traditional, 5-day long Data Analysis School, with additional sessions dedicated to DPGs and POGs. A preliminary agenda is already available, and registrations are now open (payment details will be communicated later on). We expect up to 80 students. Facilitators are encouraged to take part to the exercises in their free time.

 

We also plan a poster session on the first evening to get to know one another. The topic of the poster is entirely up to you.

 

We encourage travelling by train. A special note for German colleagues: to avoid unnecessary travelling, the school will take place right after the German CMS conference in Hamburg.

exercises.csv

exercises.pdf

Monday 9 October

09:00 → 10:30 Registration

10:30 → 12:30 Plenaries

Conveners: Alexander Grohsjean (CMS - University of Hamburg), Patrick Connor (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik) & CDCS)

10:30 Intro

Speaker: Patrick Connor (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik) & CDCS)

talk.pdf

12:30 → 13:30 Lunch break

13:30 → 15:30 Topical exercises

13:30 Anomaly detection

Speakers: Louis Moureaux (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Luka Lambrecht

Instructions

Mattermost

13:30 Columnar analysis

This exercise introduces the basics of columnar data analysis in the Python Scientific Ecosystem using the nanoAOD data format used by CMS. Columnar analysis here means processing high energy physics data in a vectorized way, giving potentially large speedups compared to traditional loop-based computing. The students will use the Python packages awkward, uproot and coffea to read and explore a nanoAOD event file, understand its format as well as its documentation, compute high-level variables, select events with simple cuts, as well as fill and plot histograms of the events.

Speaker: Laurids Jeppe (CMS (CMS Fachgruppe TOP))

Link to gitlab

13:30 Git

Speakers: Karim El-Morabit (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Lars Olaf Stietz (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Samuel Bein (University of Hamburg)

TWiki

13:30 RDataFrame

Speaker: Suvankar Chowdhury

13:30 ROOT

Speaker: Antonio Vagnerini (DESY)

13:30 SciKit learn

Speaker: Matthias Komm (CMS (CMS Fachgruppe Searches))

15:30 → 16:00 Coffee break

16:00 → 18:00 Topical exercises

16:00 Anomaly detection

Speakers: Louis Moureaux (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Luka Lambrecht

Instructions

Mattermost

16:00 Columnar analysis

Speaker: Laurids Jeppe (CMS (CMS Fachgruppe TOP))

Link to gitlab

16:00 Combine

Speaker: Aliya Nigamova (University of Hamburg)

CombineTutorial_091023.pdf

16:00 Git

Speakers: Karim El-Morabit (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Lars Olaf Stietz (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Samuel Bein (University of Hamburg)

TWiki

16:00 MC techniques

Speakers: Mikel Mendizabal Morentin (DESY), Paris Gianneios, Polidamas Kioseoglou

MC_techniques_PODAS_school_2023_Hamburg.pdf

16:00 RDataFrame

Speaker: Suvankar Chowdhury

16:00 SciKit Learn

Speaker: Matthias Komm (CMS (CMS Fachgruppe Searches))

18:00 → 18:30 Poster installation

18:30 → 20:30 Session: Welcome drink & Poster session

20:30 → 20:45 Poster moving

Tuesday 10 October

09:00 → 10:30 Plenaries

Conveners: Alexander Grohsjean (CMS - University of Hamburg), Patrick Connor (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik) & CDCS)

10:30 → 11:00 Coffee break

11:00 → 13:00 DPG exercises

11:00 Calorimeter

Speakers: Fabrice Couderc, Long Wang

11:00 Muon chambers

Speakers: Archana Sharma (Panjab University, Chandigarh), Jian Wang

DTDPGExercise_PO&DASSchool_Hamburg_Oct2023.pdf

DTExerciseLink

MuonDPG_part1_DESY2023_JianWang_v2.pdf

Muon part1

11:00 Tracker

Speakers: Dr Andrea Cardini (CMS (CMS Fachgruppe HIGGS)), Antonio Vagnerini (DESY), Henriette Petersen (CMS (CMS Fachgruppe TOP))

GitHub link for DQM exercise

Link to mattermost channel for DPG tracker exercise

ML4DQMDC-PPixel_20231002.pptx

TkAL_PODAS_2.pdf

Tracker DQM ML exercise-2.pdf

11:00 Triggers

The trigger exercise will introduce students to calculating trigger efficiencies, using two different methods. Figuring out the trigger efficiency is a necessary step in most analyses, so this exercise will be broadly applicable to every student, regardless of their physics topic. This exercise will make use of CMSSW, nanoAOD, and SWAN.

Speakers: Artur Lobanov (Universität Hamburg), Juliette Alimena (CMS (CMS Fachgruppe Searches))

Instructions/repository

Mattermost chat

PO&DAS DPG Exercise__Trigger.pdf

13:00 → 14:00 Lunch break

14:00 → 16:00 Topical exercises

14:00 CMSSW

Speaker: Suvankar Chowdhury

14:00 Columnar analysis

Speaker: Laurids Jeppe (CMS (CMS Fachgruppe TOP))

Link to gitlab

14:00 Combine

Speakers: Aliya Nigamova (University of Hamburg), Philip Daniel Keicher (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik))

CombineTutorial_091023.pdf

14:00 MC techniques

Speakers: Mikel Mendizabal Morentin (DESY), Paris Gianneios, Polidamas Georgios Kosmoglou Kioseoglou

MC_techniques_PODAS_school_2023_Hamburg (1).pdf

14:00 Unfolding

Speakers: Matteo Defranchis (CERN), Patrick Connor (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik) & CDCS), Valentina Guglielmi (CMS (CMS Fachgruppe QCD))

GitLab

Unfolding.pdf

16:00 → 16:30 Coffee break

16:30 → 18:30 Topical exercises

16:30 CMSSW

Speaker: Suvankar Chowdhury

16:30 Combine

Speakers: Aliya Nigamova (University of Hamburg), Philip Daniel Keicher (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik))

16:30 Machine learning with Keras

Speakers: Karim El-Morabit (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Lisa Benato (Hamburg University)

Code for the exercise

PODAS_keras_exercise.pdf

16:30 Machine learning with PyTorch

Speakers: Lars Olaf Stietz (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Marcel Rieger (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik))

GitLab PyTorch Tutorial

16:30 MC techniques

Speakers: Mikel Mendizabal Morentin (DESY), Paris Gianneios, Polidamas Kioseoglou

MC_techniques_PODAS_school_2023_Hamburg (1).pdf

16:30 Unfolding

Speakers: Matteo Defranchis (CERN), Patrick Connor (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik) & CDCS), Valentina Guglielmi (CMS (CMS Fachgruppe QCD))

Wednesday 11 October

09:00 → 10:00 Plenaries

Conveners: Alexander Grohsjean (CMS - University of Hamburg), Patrick Connor (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik) & CDCS)

10:15 → 10:45 Coffee break

10:45 → 12:45 DPG exercises

10:45 Calorimeter

10:45 Muon chambers

10:45 Tracker

10:45 Triggers

The trigger exercise will introduce students to calculating trigger efficiencies, using two different methods. Figuring out the trigger efficiency is a necessary step in most analyses, so this exercise will be broadly applicable to every student, regardless of their physics topic. This exercise will make use of CMSSW, nanoAOD, and SWAN.

12:45 → 13:45 Lunch break

13:45 → 15:45 POG exercises: Part 1

13:45 B-tagging and vertexing

The BTV exercise aims to demonstrate the concept of flavor tagging and its usage in analyses.
The first part of this exercise will cover the fundamental principle of b tagging, starting with understanding the discrimination power of the inputs to the tagging algorithm and is continued by evaluating the performance of the trained model.
The second part of this exercise will be dedicated to the calibration of the b-tagger to handle differences between data and simulation. It will introduce one of the currently used methods for calibrating the full shape of the b-tagging discriminant and focus on the derivation of the correction and its application in analysis.
Both exercises are based on a purely pythonic and columnar analysis workflow, in which you will be able to study the inputs and performance of the b-tagging algorithm by evaluating general machine learning performance metrics. In the second workflow, you will examine the agreement between data and simulation before and after the calibration, as well as implement the calibration itself with a special treatment of the jet flavors.

Speakers: Sebastian Wuchterl (CERN), Svenja Diekmann

PODAS_BTV.pdf

Repository

13:45 E/γ

Electrons and photons are widely used and play an essential role in the success of CMS. They are indispensable for searches of new physics, including many models of supersymmetry. Knowing the characteristics of electrons and photons in the CMS detector is helpful. This long exercise shows how electrons and photons are reconstructed and how we get their correct energy. The attendees are assumed to have basic knowledge of ROOT, C++, and Python.

Speakers: Afiq Aizuddin Anuar (CMS (CMS Fachgruppe TOP)), Ms Ying An (CMS (CMS Fachgruppe TOP))

EGamma_CMSPODAS2023.pdf

Mattermost

13:45 Generators

Speakers: Dominic Stafford (CMS (CMS Fachgruppe TOP)), Luis Ignacio Estevez Banos (CMS (CMS Fachgruppe QCD)), Simone Amoroso (CMS (CMS Fachgruppe QCD))

github repository

POSDAS-generators.pdf

Rivet-master.tar.gz

13:45 Jets

We discuss the clustering algorithms, reconstruction, and calibration of jets. We alternate slides with open questions, exercises in plain C++, and exercises with Jupyter notebooks in Python.

Speakers: Andreas Hinzmann (CMS (CMS Fachgruppe Searches)), Paris Gianneios, Polidamas Kioseoglou

Exercise 1-5

Exercise 6

Jets_POG_PODAS_school_Hamburg.pdf

13:45 Luminosity

The students will be introduced to the luminosity measurement at CMS, perform their own luminosity calibration with 2023 data, and learn how to calculate the integrated luminosity of a data set.

Speakers: Joscha Knolle (Ghent University), Niels Van den Bossche (Ghent University)

Gitlab repository

Presentation

13:45 Muon

In this session, we will start by introducing some basic concepts about muons: what they are, the sources of muons in CMS, the muon reconstruction algorithm, and the criteria used to select interesting muons for analyses.
After that, you can familiarize yourself with muons in three tasks resembling real analysis tasks:
The first exercise will get you familiar on how to handle muons in CMSSW: looking at a Drell-Yan simulated sample, you will learn to recognize the different sources of muons and how to use identification methods to classify them.
In the second exercise, you will study the resolution of the muon reconstruction, using Z→μμ events as a standard candle. Then, using the same sample, you will try different identification methods and decide which one is more appropriate.
In the third exercise, you will learn how to compute the corrections to cover the difference in efficiency between data and simulated events, using the tag and probe method.

Speakers: Christian Winter, Federica Simone, Nicolo Trevisani

GitLab

15:45 → 16:15 Coffee break

16:15 → 18:15 POG exercises: Part 2

Thursday 12 October

09:00 → 10:00 Plenaries

Conveners: Alexander Grohsjean (CMS - University of Hamburg), Patrick Connor (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik) & CDCS)

10:00 → 10:30 Coffee break

10:30 → 12:30 DPG exercises

10:30 Calorimeter

10:30 Muon chambers

10:30 Tracker

10:30 Triggers

The trigger exercise will introduce students to calculating trigger efficiencies, using two different methods. Figuring out the trigger efficiency is a necessary step in most analyses, so this exercise will be broadly applicable to every student, regardless of their physics topic. This exercise will make use of CMSSW, nanoAOD, and SWAN.

12:30 → 13:30 Lunch break

13:30 → 15:30 POG exercises: Part 1

13:30 B-tagging & vertexing

Speakers: Sebastian Wuchterl (CERN), Svenja Diekmann (RWTH Aachen University)

PODAS_BTV.pdf

Repository

13:30 Generators

Speakers: Dominic Stafford (CMS (CMS Fachgruppe TOP)), Luis Ignacio Estevez Banos (CMS (CMS Fachgruppe QCD)), Simone Amoroso (CMS (CMS Fachgruppe QCD))

13:30 Jet

We discuss the clustering algorithms, reconstruction, and calibration of jets. We alternate slides with open questions, exercises in plain C++, and exercises with Jupyter notebooks in Python.

Speakers: Andreas Hinzmann (CMS (CMS Fachgruppe Searches)), Paris Gianneios, Polidamas Kioseoglou

Exercise 1-5

Exercise 6

Jets_POG_PODAS_school_2023_Hamburg.pdf

13:30 Lumi

The students will be introduced to the luminosity measurement at CMS, perform their own luminosity calibration with 2023 data, and learn how to calculate the integrated luminosity of a data set.

Speaker: Joscha Knolle (Ghent University)

Gitlab repository

Presentation

13:30 Muon

In this session, we will start by introducing some basic concepts about muons: what they are, the sources of muons in CMS, the muon reconstruction algorithm, and the criteria used to select interesting muons for analyses.
After that, you can familiarize yourself with muons in three tasks resembling real analysis tasks:
The first exercise will get you familiar on how to handle muons in CMSSW: looking at a Drell-Yan simulated sample, you will learn to recognize the different sources of muons and how to use identification methods to classify them.
In the second exercise, you will study the resolution of the muon reconstruction, using Z→μμ events as a standard candle. Then, using the same sample, you will try different identification methods and decide which one is more appropriate.
In the third exercise, you will learn how to compute the corrections to cover the difference in efficiency between data and simulated events, using the tag and probe method.

Speakers: Nicolo Trevisani (KIT - Karlsruhe Institute of Technology), Nicolo Trevisani (KIT - Karlsruhe Institute of Technology (DE)), Nicolo Trevisani (KIT)

GitLab

13:30 Tracking

The exercises introduce the basics of track and vertex reconstruction at CMS. The main track reconstruction algorithms are discussed with explanations on how to understand and access the reconstructed quantities. A few implications on the physics analysis are illustrated. The exercises are based on the standard CMSSW workflows with pythonic interface for job configurations.

Speaker: Kirill Skovpen (Ghent University)

Tracking.pdf

TrackingRecap.pdf

TWiki

15:30 → 16:00 Coffee break

16:00 → 18:00 POG exercises: Part 2

18:00 → 19:00 Transfer

19:00 → 22:00 Session: Dinner

19:00 Directions

direction.pdf

Friday 13 October

09:30 → 10:00 Plenaries

Conveners: Alexander Grohsjean (CMS - University of Hamburg), Patrick Connor (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik) & CDCS)

10:00 → 10:30 Coffee break

10:30 → 12:30 DPG exercises

10:30 Calorimeter

10:30 Muon chambers

10:30 Tracker

10:30 Triggers

12:30 → 13:30 Lunch break

13:30 → 15:30 POG exercises: Part 1

13:30 E/γ

Electrons and photons are widely used and play an essential role in the success of CMS. They are indispensable for searches of new physics, including many models of supersymmetry. Knowing the characteristics of electrons and photons in the CMS detector is helpful. This long exercise shows how electrons and photons are reconstructed and how we get their correct energy. The attendees are assumed to have basic knowledge of ROOT, C++, and Python.

Speakers: Afiq Aizuddin Anuar (CMS (CMS Fachgruppe TOP)), Ms Ying An (CMS (CMS Fachgruppe TOP))

EGamma_CMSPODAS2023_v2.pdf

Mattermost

13:30 Jet

We discuss the clustering algorithms, reconstruction, and calibration of jets. We alternate slides with open questions, exercises in plain C++, and exercises with Jupyter notebooks in Python.

Speakers: Andreas Hinzmann (CMS (CMS Fachgruppe Searches)), Paris Gianneios, Polidamas Kioseoglou

Exercise 1-5

Exercise 6

Jets_POG_PODAS_school_2023_Hamburg (1).pdf

13:30 Physics Performance & Data sets

In this exercise you will learn to find the samples you need for an analysis and information about them, for instance their cross section or how they were produced. You will also learn how the CMS simulation chain works and how to run FullSim and FastSim on your own.

Speakers: Louis Moureaux (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Patrick Connor (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik) & CDCS), Samuel Bein (University of Hamburg)

Mattermost

PPD-PODASinHH-v1.pdf

Shared document

13:30 Tauon

Tau leptons are excellent probes of electroweak physics, they decay before reaching the inner layers of the CMS tracker and require a dedicated reconstruction algorithm. With this exercise you will see how hadronically decaying tau leptons are identified with respect to jets, muons, and electrons, and measure the efficiency of the tau identification algorithm in order to measure the Z cross section in decays to tau leptons. You will also get familiar with resolution effects in the tau reconstruction process and other properties that need to be corrected to achieve excellent physics results.

Speakers: Dr Andrea Cardini (CMS (CMS Fachgruppe HIGGS)), Océane Poncet

Digital map

GitHub of the exercise

TauPOGatPODAS.pdf

13:30 Tracking

The exercises introduce the basics of track and vertex reconstruction at CMS. The main track reconstruction algorithms are discussed with explanations on how to understand and access the reconstructed quantities. A few implications on the physics analysis are illustrated. The exercises are based on the standard CMSSW workflows with pythonic interface for job configurations.

Speaker: Kirill Skovpen (Ghent University)

Tracking.pdf

TrackingRecap.pdf

TWiki

15:30 → 16:00 Coffee break

16:00 → 18:00 POG exercises: Part 2

19:20 → 19:50 Poster: Removal

Saturday 14 October

09:15 → 10:45 PAG exercise

09:15 Higgs columnar analysis

In the search for physics beyond the Standard Model, a detailed understanding of the Higgs boson properties is a crucial component. This exercise aims to give an overview of different analysis aspects in the context of Higgs physics at the CMS experiment. Specifically, we will discuss challenges and requirements needed for the selection of objects in signal and background events as well as the construction of a suitable final observable for selected examples. Additionally, we will show how to accomplish these tasks with modern Python-based tools for vectorized analyses, such as AwkwardArray and columnflow.

Speakers: Daniel Savoiu (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Marcel Rieger (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Matteo Bonanomi (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Philip Daniel Keicher (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik))

141023_PODASExercise_Matteo.pdf

Analysis repository on GitLab

columnflow_handson_podas.pdf

ElectronsSelection_1.png

ElectronsSelection_2.png

Link to Mattermost channel

NanoAOD Variables

podas_hig_exercise.pdf

09:15 Jet measurements in Run 2

This section is focused on jets, which are a powerful tool to constrain the strong coupling constant alphaS, the parton distribution functions (PDFs) and to search for new physics. During the exercise, the students will go through the main steps of jet analyses up to the cross section extraction with a special focus on the trigger, jet energy corrections, pileup, and unfolding procedure. In the exercise, ROOT and C++ will be used.

Speakers: Patrick Connor (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik) & CDCS), Polidamas Kioseoglou, Simone Amoroso (CMS (CMS Fachgruppe QCD)), Valentina Guglielmi (CMS (CMS Fachgruppe QCD))

gitlab

POSDAS-jets.pdf

09:15 Measurement of Z to μμγ branching fraction

During the exercise, the students will go through the main steps of dimuon analyses up to the branching fraction extraction, checking at event level the impact of the standard corrections at CMS. In the exercise, ROOT and C++ will be used.

Speakers: Ankita Mehta (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Louis Moureaux (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Paris Gianneios, Patrick Connor (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik) & CDCS), Ms Ying An (CMS (CMS Fachgruppe TOP))

AN

Gitlab

Mattermost:SMP-V

monday.pdf

saturday.pdf

Software

tuesday.pdf

09:15 Search for New Physics with Top Tagging and Missing Transverse Momentum

This analysis is a generic search for new physics targeting final states with one or more top quarks. It is motivated by models of R-parity conserving Supersymmetry (SUSY) that assume the existence of additional elementary particles not included in the Standard Model (SM). In the simplest case, there is one supersymmetric partner-particle for each Standard Model SM particle. The existence of these additional particles has many interesting consequences: Most strikingly, they can provide excellent candidates for Dark Matter, the substance that constitutes about 25% of our universe and for which there is no candidate particle in the SM. Moreover, the presence of supersymmetric partner particles in virtual loops can cancel the otherwise large corrections occurring in the renormalisation of e.g. the Higgs-boson mass. As a consequence, the theory becomes less dependent on the exact values of its parameters (becomes more natural) - a feature typically thought desirable. Also, the presence of supersymmetric particles in virtual loops leads to common gauge-coupling strengths when extrapolated to higher scales, which hints to some underlying, unified theory. However, so far, SUSY particles have not been observed, and hence, they must have higher masses than the known SM particles. SUSY particles could be directly produced in the proton-proton collisions at the LHC if they have masses in the TeV range. In many SUSY models the super partners of the quarks and gluons (called squarks and gluinos), are pair produced and can occur with particularly large cross sections compared to other SUSY-production channels. The squarks and gluinos will predominantly decay into coloured SM particles and pairs of stable LSPs (Lightest Supersymmetric Particles). In realistic models, the LSPs are electrically neutral and only weakly interacting such as neutrinos.

Speakers: Samuel Baxter (CMS (CMS Fachgruppe TOP)), Soham Bhattacharya (CMS (CMS Fachgruppe Searches))

Twiki

09:15 Top integrated cross section in Run 3

This exercise will perform a measurement of the top quark pair production cross section at a center of mass energy of 13.6 TeV, using data recorded by CMS in 2022. Based on a simplified version of the first CMS publication from LHC Run 3, the measurement will focus on the dilepton decay channels. A modern python-based framework will be used, with some dependence on the scikit-HEP package library (uproot, awkward arrays) and Coffea, highlighting the speed of columnar-based analysis and the CMS NanoAOD data tier. Students will start from a minimal working example and add their own cuts, histograms, and uncertainties to produce a measurement.

Speakers: Evan Ranken (CMS (CMS Fachgruppe TOP)), Laurids Jeppe (CMS (CMS Fachgruppe TOP))

DAS_exercise_intro.pdf

09:15 Top mass measurement in Run 2

Speakers: Henriette Petersen (CMS (CMS Fachgruppe TOP)), Jiwon Park (DESY), Matteo Defranchis (CERN), Sebastian Wuchterl (CERN)

mattermost link for exercise

Repository

TOPmass.pdf

10:45 → 11:00 Break

11:00 → 12:30 PAG exercise

Sunday 15 October

14:00 → 18:00 PAG exercise: Homework

Monday 16 October

09:15 → 10:15 Plenaries

10:15 → 10:45 Coffee break

10:45 → 12:45 PAG exercise

12:45 → 13:45 Lunch break

13:45 → 15:45 PAG exercise

15:45 → 16:00 Coffee break

16:00 → 18:00 PAG exercise

Tuesday 17 October

09:30 → 11:00 PAG exercise

11:00 → 11:15 Coffee break

11:15 → 12:45 PAG exercise

12:45 → 13:45 Lunch break

13:45 → 15:45 PAG exercise

15:45 → 16:00 Coffee break

16:00 → 18:00 PAG exercise

Wednesday 18 October

09:00 → 10:30 Presentations

09:00 SUSY search

susy.pdf

09:30 Top cross section

PresentationTTBarCrossSection.pdf

10:00 Jet measurements

Jet_measurements.pdf

10:30 → 11:00 Coffee break and group picture

11:00 → 12:30 Presentations

11:00 Top mass

CMS PO&DAS 2023 Top Mass Measurement.pdf

11:30 Vector boson measurement

Z_mumugamma_CMS_POS_DAS.pdf

12:00 Higgs

HZZ_analysis.pdf

12:30 → 13:30 Lunch break

13:30 → 14:30 Plenaries

13:30 From Analysis to Publication

Speaker: Andreas Meyer (DESY)

AnalysisReview_ameyer_podas_231018.pdf

14:15 Closing and award ceremony

Speakers: Alexander Grohsjean (CMS - University of Hamburg), Andreas Hinzmann (CMS (CMS Fachgruppe Searches)), Matthias Komm (CMS (CMS Fachgruppe Searches)), Patrick Connor (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik) & CDCS)

IMG_2905 3.JPG

IMG_2908 2.JPG

IMG_2910.JPG

IMG_2913.JPG

IMG_2915.JPG

IMG_2919.JPG

IMG_2921.JPG

14:30 → 15:00 Coffee break

15:00 → 17:00 Session: DESY tour