Search for Low-mass Dijet Resonances Using Trigger-level Jets at the ATLAS Detector PDF Download

Author: Falk Bartels
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Author: Lydia Audrey Beresford
Publisher: Springer
ISBN: 331997520X
Category : Science
Languages : en
Pages : 175

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This book addresses one of the most intriguing mysteries of our universe: the nature of dark matter. The results presented here mark a significant and substantial contribution to the search for new physics, in particular for new particles that couple to dark matter. The first analysis presented is a search for heavy new particles that decay into pairs of hadronic jets (dijets). This pioneering analysis explores unprecedented dijet invariant masses, reaching nearly 7 TeV, and sets constraints on several important new physics models. The two subsequent analyses focus on the difficult low dijet mass region, down to 200 GeV, and employ a novel technique to efficiently gather low-mass dijet events. The results of these analyses transcend the long-standing constraints on dark matter mediator particles set by several existing experiments.

Author: Hanno Meyer zu Theenhausen
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: Paolo Calafiura
Publisher: World Scientific
ISBN: 9811234043
Category : Science
Languages : en
Pages : 829

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The Higgs boson discovery at the Large Hadron Collider in 2012 relied on boosted decision trees. Since then, high energy physics (HEP) has applied modern machine learning (ML) techniques to all stages of the data analysis pipeline, from raw data processing to statistical analysis. The unique requirements of HEP data analysis, the availability of high-quality simulators, the complexity of the data structures (which rarely are image-like), the control of uncertainties expected from scientific measurements, and the exabyte-scale datasets require the development of HEP-specific ML techniques. While these developments proceed at full speed along many paths, the nineteen reviews in this book offer a self-contained, pedagogical introduction to ML models' real-life applications in HEP, written by some of the foremost experts in their area.

Author: Bryan Reynolds
Publisher:
ISBN:
Category : Jets (Nuclear physics)
Languages : en
Pages : 0

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Hadronic jets play a vital role in the search for physics beyond the Standard Model at particle colliders. Jets are the most commonly produced collision products at hadron colliders like the LHC, and thus represent an extremely promising avenue for discovery. While this prevalence allows for Standard Model processes to be measured to extreme precision and exciting new physics to be searched for, analysis using jets comes with many challenges. The high rate of collision events that produce jets naturally leads to a large background that must be sorted through so that the most interesting events may be identified and recorded. This requires robust jet reconstruction, calibration, and triggering in order to maximize the amount of interesting jet events that can be analyzed for potential new discoveries. In this thesis, an analysis of the performance of the ATLAS jet trigger system during CERN LHC Run 2 is presented. Jet Trigger efficiency curves are analyzed for the full suite of HLT triggers from each year of Run 2 data collection, with differences in run conditions from year to year reviewed and their impacts on jet trigger efficiency analyzed. The effects of an improved jet calibration scheme implemented midway through Run 2 on jet trigger efficiencies and the fraction of recorded fully efficient data that is most useful for further physics analysis are investigated. Additionally, a search for new physics using dijet events at the trigger level is presented. Results of a partial Run 2 analysis using data collected through 2016 are presented and contributions to an upcoming full Run 2 analysis are discussed.

Author: Marilena Streit-Bianchi
Publisher: Springer Nature
ISBN: 3031056256
Category : Science
Languages : en
Pages : 382

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Cosmology’s journey to the present day has been a long one. This book outlines the latest research on modern cosmology and related topics from world-class experts. Through it, readers will learn how multi-disciplinary approaches and technologies are used to search the unknown and how we arrived at the knowledge used and assumptions made by cosmologists today. The book is organized into four parts, each exploring a theme that has troubled humankind for centuries. Since the dawn of time, looking at the sky, humans have tried to understand their origin, the laws governing it, and what influence it all has on human life. In most ancient civilizations, astronomers embodied the power of knowledge. This knowledge was not compartmentalized, and scientists often found philosophical implications within their quests, many of which destroyed the borders between the natural sciences. Even now, as observers and scientists continue to use conjecture to generate theoretical assumptions and laws that then have to be confirmed experimentally, said theoretical and experimental searches are being linked to philosophical thinking and artistic representation, as they were up until the 18th century. This multi-disciplinary book will appeal to anyone with an interest in the fields of Astronomy, Cosmology or Physics.

Author: Seth Conrad Zenz
Publisher:
ISBN:
Category :
Languages : en
Pages : 248

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Jets are identified and their properties studied, in proton-proton collisions at the Large Hadron Collider at center-of-mass energy √s = 7 TeV, using charged particles measured by the ATLAS Inner Detector. Events are selected using a minimum bias trigger, allowing jets at very low transverse momentum to be observed and the tran- sition to high-momentum fully perturbative jets to be studied. Jets are reconstructed using the anti-kt algorithm applied to charged particles with two radius parameter choices, 0.4 and 0.6. An inclusive charged jet transverse momentum cross section measurement from 4 GeV to 100 GeV is shown, for four ranges in rapidity extending to 1.9, and corrected to charged particle-level truth jets. The transverse momenta and longitudinal momentum fractions of charged particles within jets are measured, along with the charged particle multiplicity and the particle density as a function of radial distance from the jet axis. Comparison of the data with the theoretical models implemented in existing tunings of Monte Carlo event generators indicates reasonable overall agreement between data and Monte Carlo. These comparisons are sensitive to Monte Carlo parton showering, hadronization, and soft physics models.

Author: Johannes Frederic Damp
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Author: Aneesh V. Manohar
Publisher: Cambridge University Press
ISBN: 1009402145
Category : Science
Languages : en
Pages : 205

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Author: Claire Antel
Publisher:
ISBN:
Category :
Languages : en
Pages :

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