Data Products and Processing Tutorial

Tutorial Session Goal

This tutorial will explore the data products used in Mu2e and the modules and algorithms which create them.

Session Prerequisites and Advance Preparation

This tutorial assumes knowledge of art and the Mu2e detector.

• Running and art module tutorial
• DocDB tutorial

Session Introduction

The information content of Mu2e is stored in the form of art data products. There are several levels of information:

• Monte Carlo generator information
• Geant4 information
• Digitized detector data, or digis (Offline format)
• Reconstructed data

We will explore a few of these, and the algorithms which create them.

Exercises

Monte Carlo Generators

• Mu2e generators and GenParticle class

Geant4 and Detector Simulation

• The G4 Mu2e Detector description text files
• Examine the SimParticle and StepPointMC classes
• Virtual detectors

Digitized signals

• Digi specification
• Digitized data formats for different subsystems
• Digitization simulation (tracker, CRV, ...)

Reconstruction

• Track reconstruction algorithms and data products
  • Hit Reconstruction
  • Time Clusters
  • Helices
  • Kalman Fit
• Calorimeter reconstruction algorithms and data products
• CRV reconstruction algorithms and data products

Reference Materials

• Use this place to add inks to reference materials.