1 / 12

Analysis of R45 Parameter Behavior with Vertex Count in Particle Physics Datasets

This study investigates the R45 parameter, defined as (T4-T5)/(T4+T5), in the context of various datasets from the California Institute of Technology. The analysis focuses on the dependence of R45 and vertex count (nVtx) from multiple collections, including both SingleMu and MinimumBias datasets. We report results on channel and RBX-wise analysis, applying filters to enhance data quality. Findings indicate slow drop in nVtx for MinimumBias and consistent R45 shape despite variations in nVtx, shedding light on noise filter efficiency and its impact on measurement precision.

janna
Télécharger la présentation

Analysis of R45 Parameter Behavior with Vertex Count in Particle Physics Datasets

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. R45 vs PU ArturApresyan California Institute of Technology SaeidPaktinat School of Particles and accelerators, IPM

  2. Introduction • R45 = (T4 – T5)/(T4 + T5) • T4 and T5 are in GeV. • Results for bothchanneland RBX wise are reported. • Number of the verticesisused as the PU measure. • GoodPrimaryVertexFilter and HBHENoiseFilter are applied. process.HBHENoiseFilter.useTS4TS5 = cms.bool(False)

  3. Data • Datasets: • SingleMu_Run2011A-May10ReReco-v1_RECO • SingleMu_Run2011A-PromptReco-v4_RECO • MinimumBias_Run2011B-PromptReco-v1_RECO • MinimumBias_Run2011A-PromptReco-v5_RECO • Json file 23 Sep • Cert_160404-176309_7TeV_PromptReco_Collisions11_JSON.txt

  4. Number of Vertices Drop in nVtx is slower in MinimumBias than SingleMu

  5. R45 vs energy The overall shape is not affected by the pile up

  6. R45 vs energy Almost same result for SingleMu dataset

  7. R45 in different bins of nVtx R45 shape is almost same in different bins of nVtx.

  8. R45 in different bins of nVtx • SingleMu

  9. Efficiency of Noise Filter • The variable useTS4TS5 is turned on/off. • The efficiency goes down by increasing the number of the Vertices. The plot will be updated with y-label. Points are fitted with a horizontal line

  10. Efficiency of Noise Filter • Efficiency is almost constant for SingleMu. Points are fitted with a horizontal line

  11. T4 and T5 are for every single channel. Not added for the whole RBX.

  12. T4 and T5 are for every single channel. Not added for the whole RBX.

More Related