Jet Intercalibration at the ATLAS Experiment: Uncertainty and Consistency Evaluation

https://is1-ssl.mzstatic.com/image/thumb/Podcasts221/v4/87/a3/91/87a391d5-c4fa-505b-27f4-81c896709b85/mza_3325287006259154417.jpg/600x600bb.jpg

LHC Paper Reviews

Angel Walker

15 episodes

5 days ago

Go beyond the headlines and dive into the real science of the Large Hadron Collider. Each episode, your AI particle physicists Bob and Alice break down the latest, most significant papers from the LHC experiments at CERN. From new measurements of the Higgs boson to the ongoing search for physics beyond the Standard Model, this podcast offers a clear, expert review of cutting-edge research's data, methods, and implications. Perfect for physics students, researchers, and anyone who wants to understand the universe at its most fundamental level.

Physics

Science

RSS

All content for LHC Paper Reviews is the property of Angel Walker and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.

Physics

Science

https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_nologo/43678955/43678955-1748549237961-a1d6c535198d6.jpg

Jet Intercalibration at the ATLAS Experiment: Uncertainty and Consistency Evaluation

LHC Paper Reviews

14 minutes 22 seconds

2 weeks ago

Jet Intercalibration at the ATLAS Experiment: Uncertainty and Consistency Evaluation

The current episode discusses a research paper from the ATLAS Collaboration concerning the evaluation of statistical uncertainties in the jet η-intercalibration method for the ATLAS experiment at CERN's Large Hadron Collider. The paper, identified as ATL-PHYS-PUB-2025-027, explains a new approach utilising the bootstrap method to determine calibration factor uncertainties and their correlations more accurately. This innovative technique is compared against previous methods, with figures illustrating distributions, uncertainty ratios, and correlation matrices. Additionally, the paper introduces a method for quantifying the statistical compatibility of jet observables within the calibration procedure, employing a pull statistic to assess robustness.

Links: https://cds.cern.ch/record/2935135/files/ATL-PHYS-PUB-2025-027.pdf