Supersymmetric Beasts and Where to Find Them: From Novel Hadronic Reconstruction Methods to Search Results in Large Jet Multiplicity Final States at the ATLAS Experiment
Supersymmetric Beasts and Where to Find Them: From Novel Hadronic Reconstruction Methods to Search Results in Large Jet Multiplicity Final States at the ATLAS Experiment
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- More about Supersymmetric Beasts and Where to Find Them: From Novel Hadronic Reconstruction Methods to Search Results in Large Jet Multiplicity Final States at the ATLAS Experiment
This book provides an overview of the ATLAS Particle Flow algorithm and its application in searching for supersymmetry in proton-proton collisions. It describes the development of the algorithm and highlights the first ever ATLAS strong SUSY search using the complete dataset from the LHC's second Run.
Format: Paperback / softback
Length: 223 pages
Publication date: 07 March 2023
Publisher: Springer Nature Switzerland AG
After delving into the intricate details of the Standard Model and exploring the theory and phenomenology of Supersymmetry, this comprehensive book takes readers on a journey into the recent advancements of the ATLAS Particle Flow algorithm. This groundbreaking hadronic reconstruction technique is designed to enhance the sensitivity of the experiment to new physics by leveraging the information from various ATLAS sub-detectors.
In addition, the book provides a detailed account of the first-ever ATLAS strong SUSY search, which employs this technique to analyze the complete proton-proton collision dataset collected by the ATLAS experiment during the second Run of the Large Hadron Collider (LHC). The results and exclusion limits obtained from this search shed light on the potential existence of supersymmetric particles and provide valuable insights into the workings of the universe.
The ATLAS Particle Flow algorithm is a powerful tool that combines information from different sub-detectors within the ATLAS experiment. By analyzing the patterns and correlations between the particles detected by these sub-detectors, the algorithm can reconstruct the final state of the colliding particles and identify potential new physics signals. This technique has been instrumental in numerous discoveries, including the observation of the Higgs boson in 2012.
The first-ever ATLAS strong SUSY search using the ATLAS Particle Flow algorithm is a significant milestone in the field of particle physics. By analyzing the entire proton-proton collision dataset, the search was able to identify a number of potential supersymmetric particles and set stringent exclusion limits on their masses and interactions. These results provide valuable constraints on the models of new physics that seek to explain the origin of the universe and the nature of matter and energy.
The ATLAS Particle Flow algorithm is a versatile tool that can be applied to a wide range of scientific investigations. In addition to searching for supersymmetric particles, it can also be used to study other phenomena, such as the search for dark matter and the study of the early universe. The algorithm's ability to combine information from multiple sub-detectors makes it an invaluable resource for scientists seeking to unravel the mysteries of the cosmos.
In conclusion, this book provides a comprehensive overview of the Standard Model and Supersymmetry, as well as the development of the ATLAS Particle Flow algorithm. It delves into the first-ever ATLAS strong SUSY search, highlighting the results and exclusion limits obtained using the complete proton-proton collision dataset recorded by the ATLAS experiment during the second Run of the Large Hadron Collider. The ATLAS Particle Flow algorithm is a powerful tool that has the potential to unlock new insights into the nature of the universe and has already played a crucial role in numerous scientific discoveries.
Weight: 373g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030940492
Edition number: 1st ed. 2022
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