Investigating Systematic Errors in Monte Carlo Simulated Events
Session Number
Project ID: PHYS 01
Advisor(s)
Dr. Peter Dong; llinois Mathematics and Science Academy
Dr. Lenny G. Spiegel; Fermilab
Discipline
Physical Science
Start Date
22-4-2020 9:45 AM
End Date
22-4-2020 10:00 AM
Abstract
The focus of the IMSA-CMS group is on investigating quark compositeness and large extra dimensions as proposed by the ADD theory. An important part of the analysis process is the simulation of the Standard Model through the generation of Monte Carlo events. PDFs, or Parton Distribution Functions, model the probability density of quarks and gluons within protons collided at various energy scales and are crucial in the generation process. Since they are experimentally derived, they contain systematic errors that affect the Monte Carlo generation and are updated frequently. CMS utilized NNPDF LO 2.3 and NNPDF NNLO 3.1 in PYTHIA Monte Carlo simulation in 2016 and 2017 respectively. However, due to known problems with NNPDF version 3.1, it is being reweighted to 2.3. In order to accomplish this task, dilepton invariant mass histograms are plotted from each NNPDF version to compare the shape. Then, functional parameterizations can be used to reweight NNPDF 3.1 and account for systematic discrepancies in our analysis.
Investigating Systematic Errors in Monte Carlo Simulated Events
The focus of the IMSA-CMS group is on investigating quark compositeness and large extra dimensions as proposed by the ADD theory. An important part of the analysis process is the simulation of the Standard Model through the generation of Monte Carlo events. PDFs, or Parton Distribution Functions, model the probability density of quarks and gluons within protons collided at various energy scales and are crucial in the generation process. Since they are experimentally derived, they contain systematic errors that affect the Monte Carlo generation and are updated frequently. CMS utilized NNPDF LO 2.3 and NNPDF NNLO 3.1 in PYTHIA Monte Carlo simulation in 2016 and 2017 respectively. However, due to known problems with NNPDF version 3.1, it is being reweighted to 2.3. In order to accomplish this task, dilepton invariant mass histograms are plotted from each NNPDF version to compare the shape. Then, functional parameterizations can be used to reweight NNPDF 3.1 and account for systematic discrepancies in our analysis.