Assembly and Qualification Procedures of 2S Modules and High Rate Tests of the CMS Binary Chip for the Phase 2 Upgrade of the CMS Outer Tracker PDF Download
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Author: Stefan Maier
Publisher:
ISBN:
Category : Examinations
Languages : en
Pages :
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Author: Stefan Maier
Publisher:
ISBN:
Category : Examinations
Languages : en
Pages :
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Author: Alexander Droll
Publisher:
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Category :
Languages : en
Pages :
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Author: Younes Otarid
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Author: Léonie Sommer
Publisher:
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Category :
Languages : en
Pages : 0
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Author: Helmuth Spieler
Publisher: OUP Oxford
ISBN: 0191523658
Category : Technology & Engineering
Languages : en
Pages : 513
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Book Description
Semiconductor sensors patterned at the micron scale combined with custom-designed integrated circuits have revolutionized semiconductor radiation detector systems. Designs covering many square meters with millions of signal channels are now commonplace in high-energy physics and the technology is finding its way into many other fields, ranging from astrophysics to experiments at synchrotron light sources and medical imaging. This book is the first to present a comprehensive discussion of the many facets of highly integrated semiconductor detector systems, covering sensors, signal processing, transistors and circuits, low-noise electronics, and radiation effects. The diversity of design approaches is illustrated in a chapter describing systems in high-energy physics, astronomy, and astrophysics. Finally a chapter "Why things don't work" discusses common pitfalls. Profusely illustrated, this book provides a unique reference in a key area of modern science.
Author: Amos Breskin
Publisher:
ISBN: 9789290833369
Category :
Languages : en
Pages :
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Author: Thorben Quast
Publisher: Springer Nature
ISBN: 3030902021
Category : Science
Languages : en
Pages : 290
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In order to cope with the increased radiation level and the challenging pile-up conditions at High Luminosity-LHC, the CMS collaboration will replace its current calorimeter endcaps with the High Granularity Calorimeter (HGCAL) in the mid 2020s. This dissertation addresses two important topics related to the preparation of the HGCAL upgrade: experimental validation of its silicon- based design and fast simulation of its data. Beam tests at the DESY (Hamburg) and the CERN SPS beam test facilities in 2018 have been the basis for the design validation. The associated experimental infrastructure, the algorithms deployed in the reconstruction of the recorded data, as well as the respective analyses are reported in this thesis: First, core components of the silicon-based prototype modules are characterised and it is demonstrated that the assembled modules are functional. In particular, their efficiency to detect minimum ionising particles (MIPs) traversing the silicon sensors is found to be more than 98% for most of the modules. No indication of charge sharing between the silicon pads is observed. Subsequently, the energy response is calibrated in situ using the beam test data. Equalisation of the different responses among the readout channels is achieved with MIPs hereby deploying the HGCAL prototype as a MIP-tracking device. The relative variation of the inferred calibration constants amounts to 3% for channels on the same readout chip. The calibration of the time-of-arrival information is performed with an external time reference detector. With it, timing resolutions of single cells including the full prototype readout chain around 60ps in the asymptotic high energy limit are obtained. The calorimetric performance of the HGCAL prototype is validated with particle showers induced by incident positrons and charged pions. For electromagnetic showers, the constant term in the relative energy resolution is measured to be (0.52± 0.08) %, whereas the stochastic term amounts to (22.2 ± 0.3)% √GeV. This result is in good agreement with the calorimeter simulation with GEANT4. The prototype’s positioning resolution of the shower axis, after subtracting the contribution from the delay wire chambers in the beam line used as reference, is found to be below 0.4 mm at 300 GeV. At the same energy, the angular resolution in the reconstruction of the electromagnetic shower axis in this prototype is measured to be less than 5mrad. The analysis of the hadronic showers in this thesis makes use state-of-the- art machine-learning methods that exploit the calorimeter’s granularity. It is indicated that the energy resolution may be improved using software compensation and also that the separation of electromagnetic and charged pion-induced showers in the calorimeter may benefit from such methods. The measurements of the hadronic showers are adequately reproduced by GEANT4 simulation. Altogether, the obtained results from the analysis of the beam test data in this thesis are in agreement with the full functionality of the silicon-based HGCAL design. The final part of this thesis provides a proof of principle that generative modelling based on deep neural networks in conjunction with the Wasserstein distance is a suitable approach for the fast simulation of HGCAL data: Instead of sequential simulation, a deep neural network-based generative model generates all calorimeter energy depositions simultaneously. This genera t or network is optimised throu gh an adversarial training process using a critic network guided by the Wasserstein distance. The developed framework in this thesis is applied to both GEANT4- simulated electromagnetic showers and to positron data from the beam tests. Ultimately, this fast simulation approach is up to four orders of magnitude faster than sequential simulation with GEANT4. It is able to produce realistic calorimeter energy depositions from electromagnetic showers, incorporating their fluctuations and correlations when converted into typical calorimeter observables.
Author: Lyndon R. Evans
Publisher: EPFL Press
ISBN: 9782940222346
Category : Hadron colliders
Languages : en
Pages : 264
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Book Description
Describes the technology and engineering of the Large Hadron collider (LHC), one of the greatest scientific marvels of this young 21st century. This book traces the feat of its construction, written by the head scientists involved, placed into the context of the scientific goals and principles.
Author: Pete Warden
Publisher: O'Reilly Media
ISBN: 1492052019
Category : Computers
Languages : en
Pages : 504
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Book Description
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size
Author: Frank Hartmann
Publisher: Springer Science & Business Media
ISBN: 3540250948
Category : Science
Languages : en
Pages : 211
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Book Description
In the post era of the Z and W discovery, after the observation of Jets at UA1 and UA2 at CERN, John Ellis visioned at a HEP conference at Lake Tahoe, California in 1983 “To proceed with high energy particle physics, one has to tag the avour of the quarks!” This statement re ects the need for a highly precise tracking device, being able to resolve secondary and tertiary vertices within high-particle densities. Since the d- tance between the primary interaction point and the secondary vertex is proportional tothelifetimeoftheparticipatingparticle,itisanexcellentquantitytoidentifypar- cle avour in a very fast and precise way. In colliding beam experiments this method was applied especially to tag the presence of b quarks within particle jets. It was rst introduced in the DELPHI experiment at LEP but soon followed by all collider - periments to date. The long expected t quark discovery was possible mainly with the help of the CDF silicon vertex tracker, providing the b quark information. In the beginning of the 21st century the new LHC experiments are beginning to take 2 shape. CMS with its 206m of silicon area is perfectly suited to cope with the high luminosity environment. Even larger detectors are envisioned for the far future, like the SiLC project for the International Linear Collider. Silicon sensors matured from small 1in. single-sided devices to large 6in. double-sided, double metal detectors and to 6in. single-sided radiation hard sensors.
