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garvitaa committed Jan 5, 2025
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28 changes: 22 additions & 6 deletions _episodes/01-MET101.md
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Expand Up @@ -3,7 +3,7 @@ title: "Missing Transverse Energy 101"
teaching: 20
exercises: 10
questions:
- "What is MET? How is MET resconstructed?"
- "What is MET? How is MET reconstructed?"
- "What are the types of MET at CMS?"
- "Examples of analyses with MET at CMS"
objectives:
Expand All @@ -23,7 +23,7 @@ keypoints:
> ~~~
> {: .language-bash}
## Event Reconstrcution
## Event Reconstruction
Event reconstruction in CMS is achieved using the Particle Flow (PF) algorithm, which integrates information from all CMS subdetectors to reconstruct individual particles.
The algorithm produces a list of PF candidates classified as electrons, photons, muons, neutral hadrons, or charged hadrons.
Expand All @@ -37,13 +37,13 @@ These PF candidates are then used to reconstruct high-level physics objects, inc
## Missing Transverse Energy
MET quantifies the imbalance in the transverse momentum of all visible particles in the final state of collisions—those interacting via electromagnetic or strong forces.
Due to momentum conservation in the transverse plane (the plane perpendicualr to the beam), MET reflects the transverse momentum carried by undetected weakly interacting particles, such as neutrinos or potential dark matter candidates.
Due to momentum conservation in the transverse plane (the plane perpendicular to the beam), MET reflects the transverse momentum carried by undetected weakly interacting particles, such as neutrinos or potential dark matter candidates.
Although these invisible particles leave no direct signature in the CMS detector, their presence is inferred from the observed net momentum imbalance in the event.
An example of event with MET is shown in the figure below where two top quarks are produced. Each top quark decays into a b-jet and a W boson. The leptonic decay of a W boson leads to a lepton and its corresponding neutrino. So, the final state contains two jets, two leptons and missing transverse energy from two neutrinoes.
An example of event with MET is shown in the figure below where two top quarks are produced. Each top quark decays into a b-jet and a W boson. The leptonic decay of a W boson leads to a lepton and its corresponding neutrino. So, the final state contains two jets, two leptons and missing transverse energy from two neutrinos.
<figure>
<img src="../fig/episode1/MET_ttbar.png" alt="" style="width:70%">
<center><figcaption>Event display of a ttbar event recorded by CMS shows the dileptonic decay channel with two jets, one electron, one muon, and missing transverse energy from two neutrinoes.</figcaption></center>
<center><figcaption>Event display of a ttbar event recorded by CMS shows the dileptonic decay channel with two jets, one electron, one muon, and missing transverse energy from two neutneutrinosrinoes.</figcaption></center>
</figure>
### Raw PF MET
Expand Down Expand Up @@ -73,10 +73,26 @@ $$\textrm{PUPPI}~\vec{p}_{T}^{~miss} = - \sum_{i \in all~PF~Cands} w_i~\vec{p}_{
The figure below presents the MET distribution for both PF MET and PUPPI MET in events with leptonically decaying W bosons, demonstrating the improved performance achieved with PUPPI MET.
> ## Remember
> PUPPI MET is the default in Run3.
> PUPPI MET is the default MET algorithm in Run~3.
{: .callout}
## Exercise 1.1
The goal of this part is to get familiar:
- with the event content of the miniAOD data tier,
- the MET collections stored by default in miniAOD,
- how to use tools to easily browse through the miniAOD file.
The file used for in part contains simulated events ([/DYJetsToLL_M-50_TuneCP5_13TeV-amcatnloFXFX-pythia8/RunIISummer19UL18MiniAOD-106X_upgrade2018_realistic_v11_L1v1-v2/MINIAODSIM](https://cmsweb.cern.ch/das/request?input=dataset%3D%2FDYJetsToLL_M-50_TuneCP5_13TeV-amcatnloFXFX-pythia8%2FRunIISummer19UL18MiniAOD-106X_upgrade2018_realistic_v11_L1v1-v2%2FMINIAODSIM&instance=prod/global)), but the same conclusions hold for data files.
To view the event content of a miniAOD file one can use the `edmDumpEventContent` command and since we are interested in the MET collections only we use `grep` to avoid long printouts.
~~~
edmDumpEventContent root://cmseos.fnal.gov//store/user/cmsdas/2021/short_exercises/METandPU/DYJetsToLL_M50_amcatnloFXFX.root | grep MET
~~~
{: .language-bash}
<img src="../fig/episode1/PF_vs_PUPPI.png" alt="" style="width:70%">
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4 changes: 2 additions & 2 deletions _episodes/02-METcalibration.md
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Expand Up @@ -11,7 +11,7 @@ objectives:
- "Learn about measuring MET performance."
- "Understand MET phi modulation and how to account for it."
keypoints:
- "Inaccurate MET estimation can arise from sources such as nonlinearity in the calorimeter's response to hadrons, minimum energy thresholds in the calorimeters, and pT thresholds or inefficiencies in track reconstruction, and is mitigated through calibration procedures described in this exercise."
- "Inaccurate MET estimation can arise from sources such as non-linearity in the calorimeter's response to hadrons, minimum energy thresholds in the calorimeters, and pT thresholds or inefficiencies in track reconstruction, and is mitigated through calibration procedures described in this exercise."
- "Type-1 MET is the default MET calibration recommended in CMS."
- "Type-1 smear MET improves the data-MC agreement, and JME POG recommends analysts to evaluate its impact in your studies."
---
Expand Down Expand Up @@ -64,7 +64,7 @@ $$\vec{p}_{T}^{~miss,~Type-1} = - \sum_{i}^{nJets} \vec{p}_{T, jet}^{~corr} - \s
> Type-I corrected MET is the default MET calibration required in all analyses.
{: .callout}

### Type-1 Smear MET (For MC Only)
### Type-1 Smear MET (For MC only)

In MC simulations, jets are smeared to achieve better agreement with data. This smearing of _MC jets_ can additionally be propagated to MET, resulting in **Type-1 smear MET**.

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7 changes: 3 additions & 4 deletions _episodes/04-AnomalousMET.md
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Expand Up @@ -9,9 +9,8 @@ objectives:
- "Learn about anomalous MET"
- "Learn about the Noisy event filters and their implementation."
keypoints:
- "Jet substructure is the field study the internakl structure of high pt jets, usually clustered with a bigger jet radius (AK8)."
- "Grooming algorithms like softdrop, and substructure variables like the nsubjettiness ratio help us to identify the origin of these jets."
- "Over the years more state-of-the-art taggers involving ML have been implemented in CMS. Those help us indentify more effectively boosted jets."
- "Large MET in an event may be caused by detector noise, cosmic rays, and beam-halo particles. Such MET with uninteresting origins is called false MET, anomalous MET, or fake MET and can be an indication of problematic event reconstruction."
- "Events with anomalos mets can be rejected using the Noisy event filters."
---

> ## After following the instructions in the setup:
Expand All @@ -26,7 +25,7 @@ keypoints:
## What is anomalous MET?
Anomalous MET refers to situations where the measured MET in a particle collision event deviates from what is expected due to various factors, such as reconstruction failures, detector malfunctions, or background noise.
Anomalous MET refers to events where the measured MET deviates from what is expected due to various factors, such as reconstruction failures, detector malfunctions, or background noise.
These anomalous MET events can arise from:
- **Detector Issues:** Malfunctions or mismeasurements in detectors, such as the electromagnetic calorimeter (ECAL) or hadronic calorimeter (HCAL), leading to spurious energy deposits.
- **Reconstruction Failures:** Errors in reconstructing particle tracks or energy, including issues with jets, leptons, or unclustered energy, that result in inaccurate MET calculations.
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2 changes: 1 addition & 1 deletion index.md
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Expand Up @@ -37,7 +37,7 @@ _Follow the CMS workbook on MET analysis:_ [WorkBookMETAnalysis](https://twiki.c

### Facilitators CMSDAS LPC 2025

<img src="fig/photo_facilitators.jpeg" alt="" style="width:70%">
<img src="fig/photo_facilitators.jpeg" alt="" style="width:80%">


### Support
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4 changes: 2 additions & 2 deletions setup.md
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Expand Up @@ -4,11 +4,11 @@ title: Setup

# Run exercises in cmslpc

Open a terminal/console, connect to cmslpc-sl7 and prepare your working area:
Open a terminal/console, connect to cmslpc-el9 and prepare your working area:

~~~
kinit [email protected]
ssh -Y yourlpcusername@cmslpc-sl7.fnal.gov
ssh -Y yourlpcusername@cmslpc-el9.fnal.gov
~~~
{: .language-bash}

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