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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 

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 


1.


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 machinelearning based trigger for the HighLuminosity 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 
MultiMedia Links
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I12497 


On Shelf 




2.


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 spacebased 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 
MultiMedia Links
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I12443 


On Shelf 




3.


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 upperundergraduate 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 MonteCarlo Markov chains, resampling methods and lowcount statistics. In addition to minor corrections and adjusting structure of the content, particular features in this new edition include: Python codes and machinereadable data for all examples, classic experiments, and exercises, which are now more accessible to students and instructors New chapters on lowcount statistics including the Poissonbased Cash statistic for regression in the lowcount regime, and on contingency tables and diagnostic testing. An additional example of classic experiments based on testing data for SARSCOV2 to demonstrate practical applications of the described statistical methods. This edition inherits the main pedagogical method of earlier versions???a theorythenapplication 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 
MultiMedia Links
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Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I12430 


On Shelf 




4.


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 stateoftheart 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 
MultiMedia Links
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Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I12183 


On Shelf 




6.


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

Item Type  eBook 
MultiMedia Links
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Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11738 


On Shelf 




7.
 
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 socalled Higgs boson was discovered in protonproton 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 
MultiMedia Links
Please Click here for eBook
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11617 


On Shelf 



 