Searching for Dark Matter with the ATLAS Detector

Nonfiction, Science & Nature, Science, Physics, Nuclear Physics, Cosmology
Cover of the book Searching for Dark Matter with the ATLAS Detector by Steven Schramm, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Steven Schramm ISBN: 9783319444536
Publisher: Springer International Publishing Publication: November 23, 2016
Imprint: Springer Language: English
Author: Steven Schramm
ISBN: 9783319444536
Publisher: Springer International Publishing
Publication: November 23, 2016
Imprint: Springer
Language: English

This thesis describes the search for Dark Matter at the LHC in the mono-jet plus missing transverse momentum final state, using the full dataset recorded in 2012 by the ATLAS Experiment.  It is the first time that the number of jets is not explicitly restricted to one or two, thus increasing the sensitivity to new signals.  Instead, a balance between the most energetic jet and the missing transverse momentum is required, thus selecting mono-jet-like final states.

 

Collider searches for Dark Matter have typically used signal models employing effective field theories (EFTs), even when comparing to results from direct and indirect detection experiments, where the difference in energy scale renders many such comparisons invalid.  The thesis features the first robust and comprehensive treatment of the validity of EFTs in collider searches, and provides a means by which the different classifications of Dark Matter experiments can be compared on a sound and fair basis.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This thesis describes the search for Dark Matter at the LHC in the mono-jet plus missing transverse momentum final state, using the full dataset recorded in 2012 by the ATLAS Experiment.  It is the first time that the number of jets is not explicitly restricted to one or two, thus increasing the sensitivity to new signals.  Instead, a balance between the most energetic jet and the missing transverse momentum is required, thus selecting mono-jet-like final states.

 

Collider searches for Dark Matter have typically used signal models employing effective field theories (EFTs), even when comparing to results from direct and indirect detection experiments, where the difference in energy scale renders many such comparisons invalid.  The thesis features the first robust and comprehensive treatment of the validity of EFTs in collider searches, and provides a means by which the different classifications of Dark Matter experiments can be compared on a sound and fair basis.

More books from Springer International Publishing

Cover of the book Underwater Robots by Steven Schramm
Cover of the book Perioperative Fluid Management by Steven Schramm
Cover of the book Microfluidic Very Large Scale Integration (VLSI) by Steven Schramm
Cover of the book Frontiers in Algorithmics by Steven Schramm
Cover of the book Epidemiology of Human Congenital Malformations by Steven Schramm
Cover of the book Contemporary Latin American Cinema by Steven Schramm
Cover of the book Normative Change and Security Community Disintegration by Steven Schramm
Cover of the book Implementing Sustainability Strategies in Networks and Clusters by Steven Schramm
Cover of the book Looking Back on President Barack Obama’s Legacy by Steven Schramm
Cover of the book Eco-Responsible Cities and the Global Ocean by Steven Schramm
Cover of the book Green Processes for Nanotechnology by Steven Schramm
Cover of the book Wheat Diseases and Their Management by Steven Schramm
Cover of the book Citizens' Activism and Solidarity Movements by Steven Schramm
Cover of the book Simulation and Inference for Stochastic Processes with YUIMA by Steven Schramm
Cover of the book The Changing Governance of Higher Education and Research by Steven Schramm
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy