PCD Data Science Basics

Data Science Lecture: Improved Data Modeling through Machine Learning (with hands-on tutorial)

by Dennis Noll (RWTH Aachen III. Physikalisches Institut A)

→ Europe/Berlin
125 (Bdg. 68)

125

Bdg. 68

and in Zoom
Description

This event is part of a series of lectures and tutorials on data science topics hosted by the Platform for Challenges in Data Science in the excellence cluster "Quantum Universe" between DESY and Universität Hamburg. It is intended specifically for the PhD students in the cluster but younger and more senior members are of course also welcome.

Content:

  • Machine Learning (ML) Introduction
  • The DNN as a Ratio Approximator
  • Increasing Modelling Statistics with ML
    • Problem Introduction (ABCD)
    • Traditional Approach
    • ML Approach
    • Hands-On Exercise
  • Modelling Calibration using ML:
    • Problem Introduction (B-tag DeepSF)
    • Traditional Approach
    • ML Approach
  • Improved Modelling through ML based Refinement
    • Problem Introduction (1802.03325)
    • ML Approach
    • Hands-On Exercise (Take away)
220705_noll-pcd_lecture_data_simulation_agreement_ANIMATION.pdf
220705_noll-pcd_lecture_data_simulation_agreement.pdf
Recording
Organised by

Gregor Kasieczka, Matthias Schröder