Skip to main content
We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate
arXiv logo
Cornell University Logo

High Energy Physics - Experiment

arXiv:1909.10919 (hep-ex)
[Submitted on 24 Sep 2019]

Title:LHC Highlights and Prospects

Authors:Cecilia E. Gerber
View PDF
Abstract:These lectures were presented at the 2019 CERN Latin-American School of High Energy Physics. They were centered on the experimental methods used in hadron colliders to advance our understanding in the field of high energy particle physics. From accelerators, to particle detector technologies, object identification and data analyses techniques, the lectures did not attempt to provide a comprehensive, in-depth technical background, but rather focused on an overview of experimental techniques that enabled our advances in supporting and challenging the predictions of the standard model. This document includes a selection of the material presented in the lectures, focusing on how advances in detector technologies and object identification enabled the development of increasingly sophisticated data analysis techniques. This writeup also includes an outlook to the future LHC program and beyond.
Comments: 38 pages, 31 figures, Lecture notes for the 10th CERN Latin-American School of High-Energy Physics (CLASHEP2019), 13 to 26 March 2019 in Villa General Belgrano, Cordoba Province, Argentina
Subjects: High Energy Physics - Experiment (hep-ex)
Cite as: arXiv:1909.10919 [hep-ex]
  (or arXiv:1909.10919v1 [hep-ex] for this version)
  https://doi.org/10.48550/arXiv.1909.10919
Related DOI: https://doi.org/10.23730/CYRSP-2021-002.161

Submission history

From: Cecilia E. Gerber [view email]
[v1] Tue, 24 Sep 2019 13:46:28 UTC (5,027 KB)
Full-text links:

Access Paper:

view license
Current browse context:
hep-ex
< prev   |   next >
new | recent | 2019-09

References & Citations

export BibTeX citation

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)