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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Martin Perez, Cristina |
Search for the Higgs Boson Produced in Association with Top Quarks with the CMS Detector at the LHC |
I12497 |
2022 |
Book |
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| 2 |
Ricci, Fulvio |
Experimental Gravitation |
I12443 |
2022 |
Book |
|
| 3 |
Bonamente, Massimiliano |
Statistics and Analysis of Scientific Data |
I12430 |
2022 |
Book |
|
| 4 |
Kaiwartya, Omprakash |
Security and Privacy in Cyberspace |
I12183 |
2022 |
Book |
|
| 5 |
Defranchis, Matteo M |
First Measurement of the Running of the Top Quark Mass |
I11947 |
2021 |
eBook |
|
| 6 |
Velure, Arild |
A Digital Signal Processor for Particle Detectors |
I11738 |
2021 |
eBook |
|
| 7 |
Rieger, Marcel |
Search for tt??H Production in the H ??? bb?? Decay Channel |
I11617 |
2021 |
eBook |
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1.
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| Title | Search for the Higgs Boson Produced in Association with Top Quarks with the CMS Detector at the LHC |
| Author(s) | Martin Perez, Cristina |
| Publication | Cham, 1. Imprint: Springer
2. Springer International Publishing, 2022. |
| Description | XIII, 283 p. 170 illus., 158 illus. in color : online resource |
| Abstract Note | In this book, the interaction between the Higgs boson and the top quark is studied with the CMS detector at the LHC via the search for the associate production of the Higgs boson with one (tH) or two (ttH) top quarks. These processes are very rare and thus a high particle selection efficiency by the trigger system is essential. The selection of hadronically decaying tau leptons, expected from the Higgs boson decays, is tackled in the first part, where the trigger is optimized for Run 2 and Run 3 and a novel machine-learning based trigger for the High-Luminosity LHC is developed. The second part presents the analysis of tH and ttH where the Higgs boson decays into tau leptons, W or Z bosons with Run 2 data. The presence of multiple particles in the final state leads to the use of multivariant discriminants based on machine learning and the Matrix Element Method. The sophisticated methods used and the unprecedented amount of data result in the most precise cross section measurements to date |
| ISBN,Price | 9783030902063 |
| Keyword(s) | 1. Data Analysis and Big Data
2. EBOOK
3. EBOOK - SPRINGER
4. Elementary particles (Physics)
5. Elementary Particles, Quantum Field Theory
6. MACHINE LEARNING
7. Quantitative research
8. QUANTUM FIELD THEORY
|
| Item Type | Book |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12497 |
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On Shelf |
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2.
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| Title | Experimental Gravitation |
| Author(s) | Ricci, Fulvio;Bassan, Massimo |
| Publication | Cham, 1. Imprint: Springer
2. Springer International Publishing, 2022. |
| Description | XXII, 430 p. 170 illus., 138 illus. in color : online resource |
| Abstract Note | This book features a comprehensive review of experimental gravitation. It is a textbook based on the graduate courses on ???Experimental Gravitation??? given by the authors at their respective universities in Rome: Sapienza and Tor Vergata. A number of different research topics in the field are covered: from the torsion pendulum (still today the tool of choice for measuring small forces or torques) to the large interferometers developed to observe gravitational waves. Techniques that are still under development are also discussed, like the pulsar timing array and space-based detectors of the future. This book is written by experimentalists for experimentalists. While the background physics is summarized for less experienced readers, the emphasis is certainly on experimental verifications: the strategy, the apparatuses, the data analysis and the results of many cornerstone experiments are analyzed and discussed in depth. This textbook serves as a useful resource for both graduate students and professionals working in the increasingly vibrant field of experimental gravity |
| ISBN,Price | 9783030955960 |
| Keyword(s) | 1. Applied and Technical Physics
2. Classical and Quantum Gravity
3. Data Analysis and Big Data
4. EBOOK
5. EBOOK - SPRINGER
6. GRAVITATION
7. GRAVITATIONAL PHYSICS
8. PHYSICS
9. Quantitative research
|
| Item Type | Book |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12443 |
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On Shelf |
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3.
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| Title | Statistics and Analysis of Scientific Data |
| Author(s) | Bonamente, Massimiliano |
| Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2022. |
| Description | XXIII, 488 p. 58 illus., 48 illus. in color : online resource |
| Abstract Note | This book is the third edition of a successful textbook for upper-undergraduate and early graduate students, which offers a solid foundation in probability theory and statistics and their application to physical sciences, engineering, biomedical sciences and related disciplines. It provides broad coverage ranging from conventional textbook content of probability theory, random variables, and their statistics, regression, and parameter estimation, to modern methods including Monte-Carlo Markov chains, resampling methods and low-count statistics. In addition to minor corrections and adjusting structure of the content, particular features in this new edition include: Python codes and machine-readable data for all examples, classic experiments, and exercises, which are now more accessible to students and instructors New chapters on low-count statistics including the Poisson-based Cash statistic for regression in the low-count regime, and on contingency tables and diagnostic testing. An additional example of classic experiments based on testing data for SARS-COV-2 to demonstrate practical applications of the described statistical methods. This edition inherits the main pedagogical method of earlier versions???a theory-then-application approach???where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and practical application of the materials. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data as well as exercises and examples to aid the readers' understanding of the topic |
| ISBN,Price | 9789811903656 |
| Keyword(s) | 1. Applied Statistics
2. Data Analysis and Big Data
3. EBOOK
4. EBOOK - SPRINGER
5. ENGINEERING MATHEMATICS
6. Engineering???Data processing
7. Mathematical and Computational Engineering Applications
8. Mathematical Methods in Physics
9. MATHEMATICAL PHYSICS
10. Mathematical statistics???Data processing
11. Quantitative research
12. Statistical Theory and Methods
13. Statistics and Computing
14. Statistics??
|
| Item Type | Book |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12430 |
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On Shelf |
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4.
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| Title | Security and Privacy in Cyberspace |
| Author(s) | Kaiwartya, Omprakash;Kaushik, Keshav;Gupta, Sachin Kumar;Mishra, Ashutosh;Kumar, Manoj |
| Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2022. |
| Description | VI, 226 p. 113 illus., 76 illus. in color : online resource |
| Abstract Note | This book highlights the literature and the practical aspects to understand cybersecurity and privacy in various networks and communication devices. It provides details of emerging technologies on various networks by protecting the privacy and security of cyberspace. This book presents state-of-the-art advances in the field of cryptography and network security, cybersecurity and privacy, providing a good reference for professionals and researchers |
| ISBN,Price | 9789811919602 |
| Keyword(s) | 1. Blockchain
2. Blockchains (Databases)
3. Data Analysis and Big Data
4. EBOOK
5. EBOOK - SPRINGER
6. Internet of things
7. Quantitative research
8. QUANTUM COMMUNICATION
9. Quantum Communications and Cryptography
10. Security Science and Technology
11. Security systems
|
| Item Type | Book |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12183 |
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On Shelf |
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6.
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| Title | A Digital Signal Processor for Particle Detectors : Design, Verification and Testing |
| Author(s) | Velure, Arild |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | XIX, 157 p. 57 illus., 30 illus. in color : online resource |
| Abstract Note | To cope with the new running conditions in the ALICE experiment at the Large Hadron Collider at CERN, a new integrated circuit named SAMPA has been created that can process 32 analogue channels, convert them to digital, perform filtering and compression, and transmit the data on high speed links to the data acquisition system. The main purpose of this work is to specify, design, test and verify the digital signal processing part of the SAMPA device to accommodate the requirements of the detectors involved. Innovative solutions have been employed to reduce the bandwidth required by the detectors, as well as adaptations to ease data handling later in the processing chain. The new SAMPA device was built to replace two existing circuits, in addition to reducing the current consumption, and doubling the amount of processing channels. About 50000 of the devices will be installed in the Time Projection Chamber and Muon Chamber detectors in the ALICE experiment |
| ISBN,Price | 9783030715595 |
| Keyword(s) | 1. Accelerator Physics
2. Data Analysis and Big Data
3. Digital and Analog Signal Processing
4. EBOOK
5. EBOOK - SPRINGER
6. MEASUREMENT
7. Measurement Science and Instrumentation
8. MEASURING INSTRUMENTS
9. PARTICLE ACCELERATORS
10. PARTICLE PHYSICS
11. PARTICLES (NUCLEAR PHYSICS)
12. Quantitative research
13. SIGNAL PROCESSING
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| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11738 |
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On Shelf |
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7.
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| Title | Search for tt??H Production in the H ??? bb?? Decay Channel : Using Deep Learning Techniques with the CMS Experiment |
| Author(s) | Rieger, Marcel |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | XIII, 217 p. 82 illus., 73 illus. in color : online resource |
| Abstract Note | In 1964, a mechanism explaining the origin of particle masses was proposed by Robert Brout, Fran??ois 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 tt??H in data recorded with the CMS detector in 2016. It focuses on Higgs boson decays into bottom quarks H ??? bb?? 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 tt?? 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 tt??H production and H ??? bb?? decays |
| ISBN,Price | 9783030653804 |
| Keyword(s) | 1. Data Analysis and Big Data
2. EBOOK
3. EBOOK - SPRINGER
4. Elementary particles (Physics)
5. Elementary Particles, Quantum Field Theory
6. MACHINE LEARNING
7. PARTICLE PHYSICS
8. PARTICLES (NUCLEAR PHYSICS)
9. Quantitative research
10. QUANTUM FIELD THEORY
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11617 |
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On Shelf |
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