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DescriptionDue dateAssigneeTask appears on
  • Momentum Display
 Online Reconstruction and Monitoring Tasks
  • Vertex  strip charts for single and dimuon
 Online Reconstruction and Monitoring Tasks
  • Kinematic variables for the dimuon (xF, x1, x2,qT,cosphi, theta)
 Online Reconstruction and Monitoring Tasks
  • Hit displays for every detector
 Online Reconstruction and Monitoring Tasks
  • Event display for every reconstructed track
 Online Reconstruction and Monitoring Tasks
  • DY and J/Psi L-R asymmetry 
 Online Reconstruction and Monitoring Tasks
  • DY and J/Psi Up-down asymmetry
 Online Reconstruction and Monitoring Tasks

  • - Describe all configuration options for each portion

 To-do list
  • Q-tracker Algorithm
 To-do list
  • - quantifying the difference between ELOSS from MC and ELOSS from Experiment
 To-do list
  • - detailed field map and alignment in MC used
 To-do list
  • - J/psi peak position and width as a function of field configuration, resolution, eloss, momentum corrections
 To-do list
  • - biases in positive and negative tracks and/or geometry
 To-do list
  • - Proof that deviations do not lead to bias or larger systematic errors
 To-do list
  • - Quantified robustness of accuracy and precision of 4-momenta, vertex position, and J/psi and psi' peak
 To-do list
  • - Assumptions about distributions of processes
 To-do list
  • - True occupancy limits
 To-do list
  • - Ensuring correct drift time implementation and impact
 To-do list
  • - Best px,py,pz all being better or equal to Ktracker
 To-do list
  • - Best vx, vy, vz, and studies on improved iterative reconstruction
 To-do list

DescriptionDue dateAssigneeTask appears on

  • - Overview with choice of DNN type for each part and why

 To-do list

  • - Describe each portion's architecture, and what it does

 To-do list

  • - Describe the integration of all parts together

 To-do list
  • Training
 To-do list
  • -Overview and why Q-tracker is needed
 To-do list
  • -Goals
 To-do list
  • -How we will achieve these goals
 To-do list
  • -outline of what's to come (order of how things are broken down)

 To-do list
  • - MC production (details on quality/matching), event simulation quality/matching, trigger dependence, detector resolution dependence
 To-do list
  • - Quantifying variational equivalence in hit matrix (hit matrix covariance) and error propagation
 To-do list
  • - Detector efficiency map as a function of time/run (bad DC or hodo regions)
 To-do list
  • - Detector Covariance
 To-do list
  • - Energy loss and momentum corrections (difference needed for data to MC comparison)
 To-do list
  • - Change in momentum accuracy and precision as a function of change in covariance
 To-do list
  • - Training process and philosophy for best results
 To-do list
  • - Training evolution based on trial and error (lessons learned)
 To-do list
  • - Folding in degrees of noise in phases of training and testing at each level
 To-do list
  • - Validation studies with 906 data in training and in predictions
 To-do list
  • Introduction
 To-do list
  • Training Data production
 To-do list

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