Journey to the �CMS EGM Object Review
Bongho Tae
(Kyungpook National University)
on behalf of
The CMS Collaboration
2025 KCMS Workshop
1st July 2025
BONGHO TAE (KNU)
KCMS 2025 Workshop
EGM
2
Outline
BONGHO TAE (KNU)
KCMS 2025 Workshop
3
CASE STUDY
Search for long-lived particle using delayed photon signature
BONGHO TAE (KNU)
KCMS 2025 Workshop
(n1)
(n1)
5
New Id for Delayed Photon
BONGHO TAE (KNU)
KCMS 2025 Workshop
NEW ID
6
Status
BONGHO TAE (KNU)
KCMS 2025 Workshop
7
“Who”
do you contact for an object review?
EGM Object Review - Contacts
BONGHO TAE (KNU)
KCMS 2025 Workshop
9
EGM Object Review - Contacts
BONGHO TAE (KNU)
KCMS 2025 Workshop
10
“Where”�can you find the official approval guidelines?
Physics Object Approval Process
BONGHO TAE (KNU)
KCMS 2025 Workshop
12
EGM Object Review
Dataset, Trigger, ID, SF, Smearing, Scale, etc.
BONGHO TAE (KNU)
KCMS 2025 Workshop
13
“What”
do you need to prepare for object approval?
EGamma Questionnaire
BONGHO TAE (KNU)
KCMS 2025 Workshop
15
Key Points of the Egamma Questionnaire
BONGHO TAE (KNU)
KCMS 2025 Workshop
16
What The (scale) Factor?
BONGHO TAE (KNU)
KCMS 2025 Workshop
17
EGM Meeting
BONGHO TAE (KNU)
KCMS 2025 Workshop
18
“How”
do you validate and approve a new photon ID?
By Jihun Kim
Scale factor
What is a scale factor?
Why do we need scale factors?
BONGHO TAE (KNU)
KCMS 2025 Workshop
20
Tag and Probe method
BONGHO TAE (KNU)
KCMS 2025 Workshop
21
CMS tools for Tag and Probe
BONGHO TAE (KNU)
KCMS 2025 Workshop
22
EgammAnalysis-TnPTreeProducer
set up the input samples, triggers, corrections, and various options (AOD/miniAOD, MC/data), and outputs the necessary TnP analysis root files
specify which features (kinematic variables, ID, isolation, MVA scores, etc.) will be saved for each probe and tag object in the output TnP trees.
BONGHO TAE (KNU)
KCMS 2025 Workshop
23
egm_tnp_analysis
BONGHO TAE (KNU)
KCMS 2025 Workshop
24
Scale factor for delayed photon ID
BONGHO TAE (KNU)
KCMS 2025 Workshop
25
Systematics
BONGHO TAE (KNU)
KCMS 2025 Workshop
• statData/statMC: Variation due to statistical uncertainty in data/MC
• altSignalModel: Use alternative signal PDF (e.g., double Crystal Ball)
• altBkgModel: Use alternative background model (e.g., polynomial instead of exponential)
• altMCEff: Change MC efficiency calculation method
• altTagSelection: Use alternative tag selection to estimate robustness
26
Orthogonal method
BONGHO TAE (KNU)
KCMS 2025 Workshop
Selection + Muon Trigger + Delayed photon trigger
Selection + Muon Trigger
27
Trigger Efficiencies & SF
BONGHO TAE (KNU)
KCMS 2025 Workshop
Data eff.
MC eff.
scale factor
Efficiencies
2018
Data eff.
MC eff.
2017
28
CMS Pub Talk
BONGHO TAE (KNU)
KCMS 2025 Workshop
29
CMS Pub Talk
BONGHO TAE (KNU)
KCMS 2025 Workshop
30
Summary
BONGHO TAE (KNU)
KCMS 2025 Workshop
31
Thank you for attending my presentation!
Wishing you success and smooth approval for your analysis!
Backup
Physics Object Review
BONGHO TAE (KNU)
KCMS 2025 Workshop
34
CMS Statistics Questionnaire
35
Q: Since this is a single photon trigger, Why do we need the two separate training for leading and subleading photon
Answer: The leading photon is almost always the triggering photon, which imposes tighter requirements on that photon. The subleading photon is typically unbiased by the trigger, and therefore, the DNN training can be performed on a much more inclusive set of photon objects, allowing more optimization. We can obtain a more optimal signal selection by training the two types of objects separately.
36
Q: Why do you have different training for 2016 and 17/18? Does the detector change between the years?
Answer: We have different training because the triggers used in 2016 and 17/18 are different. The training acts on a different set of photon objects, and that has a significant impact on the ID performance. Therefore the different training for 2016 dataset and 17/18 dataset results in more optimal discriminant and better signal to background discrimination.
37
Q: On slide [6], why are the shaky ROC curves? If you merge the years, it might help you. Is your major background QCD?
Answer: Yes, QCD is our major background and due to the limited size of the QCD MC sample, the ROC has shaky curves when the cut becomes very tight.
38