High Jet Multiplicity Physics at the LHC

1. Auflage 2016
ISBN: 978-3-319-43460-5
Verlag: Springer

Buch, Englisch, 177 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 4262 g

Reihe: Springer Theses

This book describes research in two different areas of state-of-the-art hadron collider physics, both of which are of central importance in the field of particle physics. The first part of the book focuses on the search for supersymmetric particles called gluinos. The book subsequently presents a set of precision measurements of “multi-jet” collision events, which involve large numbers of newly created particles, and are among the dominant processes at the Large Hadron Collider (LHC). 
Now that a Higgs boson has been discovered at the LHC, the existence (or non-existence) of supersymmetric particles is of the utmost interest and significance, both theoretically and experimentally. In addition, multi-jet collision events are an important background process for a wide range of analyses, including searches for supersymmetry.

Zielgruppe

Research

Autoren/Hrsg.

Crispín Ortuzar, Mireia

Fachgebiete

• Naturwissenschaften Physik Quantenphysik Teilchenphysik
• Naturwissenschaften Physik Quantenphysik Hochenergiephysik

Inhaltsverzeichnis

Introduction.- Theoretical Overview.- The Large Hadron Collider and the ATLAS Experiment.- Search for New Phenomena in Events with Large Jet Multiplicities.- Measurement of the Cross Section of Four-jet Events.- Conclusions.

Über Autor(innen)

Mireia Crispín Ortuzar holds a PhD in Particle Physics from the University of Oxford (UK, 2015), and undergraduate degrees in Physics (University of Valencia, Spain, 2011), and Music (Valencia Higher Conservatory of Music, Spain, 2009). She first joined the ATLAS Collaboration in 2010, working subsequently in the Supersymmetry, Standard Model and physics performance groups. She is currently a Junior Research Fellow at Trinity College, Cambridge, UK, and a Research Fellow at Memorial Sloan-Kettering Cancer Center in New York, USA, where she works on interdisciplinary data analysis research.