Skip to content

Latest commit

 

History

History
74 lines (62 loc) · 7.43 KB

index.md

File metadata and controls

74 lines (62 loc) · 7.43 KB
layout root permalink venue address country language latitude longitude humandate humantime startdate enddate email
lesson
.
index.html
LHC Physics Center, Fermi National Accelerator Laboratory
In Person
us
en
41.842258
-88.245781
Synchronously January, 2023
24/7
2024-01-08
2024-01-12
daniel.spitzbart@cern.ch

CMS Detector Slice{:width="50%"}

Welcome to the CMS Data Analysis School 2024 Tracking and Vertexing Short Exercise!

We will present an introduction to using tracks for analyses in the era of large pile-up (many primary vertices). Our exercises will all use real data and will familiarize you with the following techniques:

Exercise Goals

  • Extracting basic track parameters and reconstructing invariant masses from tracks in CMSSW. Tracks are the detector entities that are closest to the four-vectors of particles: the momentum of a track is nearly the momentum of the charged particle itself.
  • Cleaning sets of tracks for analysis. We will use filters to eliminate bad tracks and discuss sources of tracking uncertainties. These filters are provided by the tracking POG (Physics Object Group)
  • Extracting basic parameters of primary vertices. In this high-luminosity era, it is not uncommon for a single event to contain as many as thirty to fifty independent collisions. For most analyses, only one is relevant, and it can usually be identified by its tracks.
  • Using tracks to measure from data and Monte Carlo (MC) samples the tracking efficiency by using tag and probe method via dimuon resonances. It can be extended to measure the efficiency of any selection of muons (trigger, isolation, identification) and derive scale factors from MC. {: .checklist}

Prerequisites

Before going any further, please complete the CMS DAS Pre-Exercises and then follow the instructions on the setup page. {: .prereq}

Facilitators

*Lead Contact


Daniel Spitzbart

🖋

Michael Carrigan

🖋

Aidan Grummer

🖋

Keith Ulmer

🖋

Kai Yi

🖋

Irene Zoi

🖋

Sam Bein

🖋

Brunella D'Anzi

🖋

Nicola De Filippis

🖋

Ulascan Sarica

🖋

{: .testimonial}

Mattermost Chat

The Tracking and Vertexing Short Exercise channel will be available once you join the CMSDAS@LPC2024 team. Direction for how to join this Mattermost chat team can be found on the setup page. {: .discussion}

CERN Twiki and Introduction Slides

The CERN TWiki of this short exercise can be found at this link. At the beginning of this short exercise an introduction will be done based on these slides. {: .callout} {% comment %} This is a comment in Liquid {% endcomment %}

Close-out Slides

You can find a guideline closeup for the Tracking and Vertexing Short Exercise questions and results on these slides. {: .challenge} {% comment %} This is a comment in Liquid {% endcomment %}

{% include links.md %}