| spelling |
oapen-20.500.12657-613212024-03-27T14:14:28Z Experimental Techniques in Modern High-Energy Physics Hanagaki, Kazunori Tanaka, Junichi Tomoto, Makoto Yamazaki, Yuji Data Acquisition in Hep Elementary Particle Identification HEP Detector Calibration Simulating Particle Production from Collisions Statistics for High Energy Physics Using Monte Carlo Simulation in Hep thema EDItEUR::P Mathematics and Science::PH Physics::PHP Particle and high-energy physics thema EDItEUR::P Mathematics and Science::PH Physics::PHS Statistical physics This open access book offers a concise overview of how data from large scale experiments are analyzed and how technological tools are used in practice, as in the search for new elementary particles. It focuses on interconnects between physics and detector technology in experimental particle physics, and includes descriptions of mathematical approaches. Readers find all the important steps in analysis, including reconstruction of the momentum and energy of particles from detector information, particle identification, and also the general concept of simulating particle production from collisions and detector responses. As the scale of scientific experiments becomes larger and data-intensive science emerges, the techniques used in the data analysis become ever more complicated, making it difficult for beginners to grasp the overall picture. The book provides an explanation of the idea and concepts behind the methods, helping readers understand journal articles on high energy physics. This book is engaging as it does not overemphasize mathematical formalism and it gives a lively example of how such methods have been applied to the Higgs particle discovery in the Large Hadron Collider (LHC) experiments, which led to Englert and Higgs being awarded the Nobel Prize in Physics for 2013. Graduate students and young researchers can easily obtain the required knowledge on how to start data analyses from these notes, without having to spend time in consulting many experts or digesting huge amounts of literature. 2023-02-13T17:28:15Z 2023-02-13T17:28:15Z 2022 book ONIX_20230213_9784431569312_57 9784431569312 https://library.oapen.org/handle/20.500.12657/61321 eng Lecture Notes in Physics application/pdf n/a 978-4-431-56931-2.pdf https://link.springer.com/978-4-431-56931-2 Springer Nature Springer Japan 10.1007/978-4-431-56931-2 10.1007/978-4-431-56931-2 6c6992af-b843-4f46-859c-f6e9998e40d5 0d1aa6a0-bd33-418a-ac71-5009e08f0396 9784431569312 Springer Japan 1001 146 Tokyo [...] Sponsoring Consortium for Open Access Publishing in Particle Physics SCOAP3 open access
|
| description |
This open access book offers a concise overview of how data from large scale experiments are analyzed and how technological tools are used in practice, as in the search for new elementary particles. It focuses on interconnects between physics and detector technology in experimental particle physics, and includes descriptions of mathematical approaches. Readers find all the important steps in analysis, including reconstruction of the momentum and energy of particles from detector information, particle identification, and also the general concept of simulating particle production from collisions and detector responses. As the scale of scientific experiments becomes larger and data-intensive science emerges, the techniques used in the data analysis become ever more complicated, making it difficult for beginners to grasp the overall picture. The book provides an explanation of the idea and concepts behind the methods, helping readers understand journal articles on high energy physics. This book is engaging as it does not overemphasize mathematical formalism and it gives a lively example of how such methods have been applied to the Higgs particle discovery in the Large Hadron Collider (LHC) experiments, which led to Englert and Higgs being awarded the Nobel Prize in Physics for 2013. Graduate students and young researchers can easily obtain the required knowledge on how to start data analyses from these notes, without having to spend time in consulting many experts or digesting huge amounts of literature.
|
