LEADER 03755nam 22006255 450 001 996508665803316 005 20230130190234.0 010 $a4-431-56931-6 024 7 $a10.1007/978-4-431-56931-2 035 $a(CKB)5680000000298791 035 $a(MiAaPQ)EBC7188506 035 $a(Au-PeEL)EBL7188506 035 $a(OCoLC)1369670607 035 $a(DE-He213)978-4-431-56931-2 035 $a(PPN)267806787 035 $a(EXLCZ)995680000000298791 100 $a20230130d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aExperimental Techniques in Modern High-Energy Physics$b[electronic resource] $eA Beginner?s Guide /$fby Kazunori Hanagaki, Junichi Tanaka, Makoto Tomoto, Yuji Yamazaki 205 $a1st ed. 2022. 210 1$aTokyo :$cSpringer Japan :$cImprint: Springer,$d2022. 215 $a1 online resource (155 pages) 225 1 $aLecture Notes in Physics,$x1616-6361 ;$v1001 311 $a4-431-56929-4 327 $aIntroduction -- Basic Idea of Measurements in Particle Collisions -- Apparatus -- Statistics -- Detector Calibration -- Particle Identification -- Event Simulation -- Examples of Physics Analysis. 330 $aThis open access book offers a concise overview of how data from large scale experiments are analyzed and how technological tools are used in practice, as in the search for new elementary particles. It focuses on interconnects between physics and detector technology in experimental particle physics, and includes descriptions of mathematical approaches. Readers find all the important steps in analysis, including reconstruction of the momentum and energy of particles from detector information, particle identification, and also the general concept of simulating particle production from collisions and detector responses. As the scale of scientific experiments becomes larger and data-intensive science emerges, the techniques used in the data analysis become ever more complicated, making it difficult for beginners to grasp the overall picture. The book provides an explanation of the idea and concepts behind the methods, helping readers understand journal articles on high energy physics. This book is engaging as it does not overemphasize mathematical formalism and it gives a lively example of how such methods have been applied to the Higgs particle discovery in the Large Hadron Collider (LHC) experiments, which led to Englert and Higgs being awarded the Nobel Prize in Physics for 2013. Graduate students and young researchers can easily obtain the required knowledge on how to start data analyses from these notes, without having to spend time in consulting many experts or digesting huge amounts of literature. 410 0$aLecture Notes in Physics,$x1616-6361 ;$v1001 606 $aNuclear physics 606 $aSystem theory 606 $aMathematical physics 606 $aNuclear and Particle Physics 606 $aComplex Systems 606 $aTheoretical, Mathematical and Computational Physics 615 0$aNuclear physics. 615 0$aSystem theory. 615 0$aMathematical physics. 615 14$aNuclear and Particle Physics. 615 24$aComplex Systems. 615 24$aTheoretical, Mathematical and Computational Physics. 676 $a539.7 700 $aHanagaki$b Kazunori$01338608 701 $aTanaka$b Junichi$01338609 701 $aTomoto$b Makoto$01338610 701 $aYamazaki$b Yuji$01338611 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996508665803316 996 $aExperimental Techniques in Modern High-Energy Physics$93058812 997 $aUNISA