Titlebook: Experimental Techniques in Modern High-Energy Physics; A Beginner‘s Guide Kazunori Hanagaki,Junichi Tanaka,Yuji Yamazaki Book‘‘‘‘‘‘‘‘ 2022

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obviate

,Die Rolle von Ernährung und Bewegung,Not only real experimental data but also simulated data are necessary for modern data analyses because experiments, that is, detectors, etc. are getting complex so that we need the help of Monte Carlo (MC) simulation to understand the experimental data.

neurologist

Introduction,Experimental techniques in high-energy particle physics have been developing very rapidly, despite the experimental principle being relatively simple. Here, we explain the principle first, then the development on top, since the experiments are more complex as the energy of collisions increases.

灿烂

collateral

Particle Identification,In this chapter, we discuss the method of particle identification, which is also called object identification because what we reconstruct or identify is usually not a particle but an . such as a charged particle trajectory, a jet that is a cluster of many particles, missing transverse energy and so on.

MORPH

Event Simulation,Not only real experimental data but also simulated data are necessary for modern data analyses because experiments, that is, detectors, etc. are getting complex so that we need the help of Monte Carlo (MC) simulation to understand the experimental data.

中古

978-4-431-56929-9The Editor(s) (if applicable) and The Author(s) 2022

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Experimental Techniques in Modern High-Energy Physics978-4-431-56931-2Series ISSN 0075-8450 Series E-ISSN 1616-6361

DRAFT

Nils von Kuhlwein,Michael Richthammert is given in Fig. .. There, what we see are many curves from a particular point, which indicates the location of two particles colliding with each other. The curves emerging from the point are charged tracks, and the traces of charged particles are identified from detector responses. Also seen are

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Gesund Altern – eine europäische Perspektive the events under study are signal-like in a new particle search, how much improvement a new measurement gives compared with the past measurements, how powerful a new analysis method is, and how much a certain theoretical prediction is restricted. Statistics is also useful to discriminate the signal