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Pocket guide to mammal tracks. Includes keys to print shapes and track patterns, discussion of scat and other signs, habitat information, range maps, and drawings of the animals and their tracks. For identifying tracks in mud or snow. Covers the eastern half of U.S. and Canada.
The work described in this PhD thesis is a study of a real implementation of a track-finder system which could provide reconstructed high transverse momentum tracks to the first-level trigger of the High Luminosity LHC upgrade of the CMS experiment. This is vital for the future success of CMS, since otherwise it will be impossible to achieve the trigger selectivity needed to contain the very high event rates. The unique and extremely challenging requirement of the system is to utilise the enormous volume of tracker data within a few microseconds to arrive at a trigger decision. The track-finder demonstrator described proved unequivocally, using existing hardware, that a real-time track-finder could be built using present-generation FPGA-based technology which would meet the latency and performance requirements of the future tracker. This means that more advanced hardware customised for the new CMS tracker should be even more capable, and will deliver very significant gains for the future physics returns from the LHC.
In 1964, a mechanism explaining the origin of particle masses was proposed by Robert Brout, François Englert, and Peter W. Higgs. 48 years later, in 2012, the so-called Higgs boson was discovered in proton-proton collisions recorded by experiments at the LHC. Since then, its ability to interact with quarks remained experimentally unconfirmed. This book presents a search for Higgs bosons produced in association with top quarks tt̄H in data recorded with the CMS detector in 2016. It focuses on Higgs boson decays into bottom quarks H → bb̅ and top quark pair decays involving at least one lepton. In this analysis, a multiclass classification approach using deep learning techniques was applied for the first time. In light of the dominant background contribution from tt̄ production, the developed method proved to achieve superior sensitivity with respect to existing techniques. In combination with searches in different decay channels, the presented work contributed to the first observations of tt̄H production and H → bb̅ decays.
These proceedings contain over 80 contributions from an international group of scientists and engineers actively working on applications of fiber technology in high energy physics and related fields. Sessions included reviews of past, current and possible future detectors incorporating fiber technology for tracking and calorimetry. Special sessions covered photodetection techniques, including VLPCs, APDs and hybrid phototubes; recent advances in fiber structure, optical interconnection and mechanical support; and scintillation materials, including new developments in scintillation dyes and studies of radiation and environmental effects.Technical advances have been rapid in this promising area of detector development, and the SciFi93 proceedings serve as a useful reference on the state of the art.
The work presented in this PhD dissertation is the first search at CMS for Higgs bosons produced in association with top quarks (ttH) in a final state consisting of only jets. The results presented in this book uncover a new class of ttH events that will help us elucidate our understanding of the Yukawa sector interactions between the Higgs boson and the top quark. Despite this being the most common decay signature for ttH, a large contamination of SM backgrounds makes it the most challenging for extracting a signal from data. The PhD thesis presents many sophisticated tools and techniques that were developed in order to overcome these challenges. These tools pave the way for future analyses to investigate other standard model and beyond-standard model physics.
These two volumes present the proceedings of the International Conference on Technology and Instrumentation in Particle Physics 2017 (TIPP2017), which was held in Beijing, China from 22 to 26 May 2017. Gathering selected articles on the basis of their quality and originality, it highlights the latest developments and research trends in detectors and instrumentation for all branches of particle physics, particle astrophysics and closely related fields. This is the first volume, and focuses on the main themes Gaseous detectors, Semiconductor detectors, Experimental detector systems, Calorimeters, Particle identification, Photon detectors, Dark Matter Detectors and Neutrino Detectors. The TIPP2017 is the fourth in a series of international conferences on detectors and instrumentation, held under the auspices of the International Union of Pure and Applied Physics (IUPAP). The event brings together experts from the scientific and industrial communities to discuss their current efforts and plan for the future. The conference’s aim is to provide a stimulating atmosphere for scientists and engineers from around the world.
This open access book is a comprehensive review of the methods and algorithms that are used in the reconstruction of events recorded by past, running and planned experiments at particle accelerators such as the LHC, SuperKEKB and FAIR. The main topics are pattern recognition for track and vertex finding, solving the equations of motion by analytical or numerical methods, treatment of material effects such as multiple Coulomb scattering and energy loss, and the estimation of track and vertex parameters by statistical algorithms. The material covers both established methods and recent developments in these fields and illustrates them by outlining exemplary solutions developed by selected experiments. The clear presentation enables readers to easily implement the material in a high-level programming language. It also highlights software solutions that are in the public domain whenever possible. It is a valuable resource for PhD students and researchers working on online or offline reconstruction for their experiments.
The project reported here was a search for new super symmetric particles in proton-proton collisions at the LHC. It has produced some of the world’s best exclusion limits on such new particles. Furthermore, dedicated simulation studies and data analyses have also yielded essential input to the upgrade activities of the CMS collaboration, both for the Phase-1 pixel detector upgrade and for the R&D studies in pursuit of a Phase-2 end cap calorimeter upgrade.
In view of the very heavy CBM experiment constraints on the first level trigger, no conventional trigger is obviously applicable. Hence a fast trigger algorithm with the goal of realization in reconfigurable hardware had to be developed to fulfil all requirements of the experiment. In this connection the general Hough transform, which is already utilized in several other experiments, is used as a basis. This approach constitutes further a global method for tracking, which transforms all particle interaction points with the detector stations by means of a defined formula into a parameter space corresponding to the momentum of the particle tracks. This formula is of course developed especially for the given environment of CBM and defines thus the core of the applied three dimensional Hough transform. As the main focus of attention is furthermore on the realization of the needed data throughput, the necessary complex formula calculations give reason to outsource predefined formula results in look-up tables. This circumstance offers then collaterally the possibility to utilize any other sufficiently precise method like Runge-Kutta of fourth order for example to compute these look-up tables, because this computation can be evidently done offline without any effect on the Hough transform's processing speed. For algorithm simulation purposes the CBMROOT framework provides the module htrack', which is written in the programming language C++. This module includes many analyses for the determination of algorithm parameters, which can be even executed automatically to some extent. In addition to this, there are of course also analyses for the measurement of the algorithm's quality as well as for the individual rating of each partial step of the algorithm. Consequently the milestone of a customizable level one tracking algorithm, which can be used without any specific knowledge, is now obtained. Besides this, the investigated concepts are explicitly considered in the implement