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00000cam a2200000 a 4500 |
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EBSCO_ocn785198800 |
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OCoLC |
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20231017213018.0 |
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cr cnu---unuuu |
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120410s2000 enka ob 001 0 eng d |
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|a 784883487
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|a (OCoLC)785198800
|z (OCoLC)784883487
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|a UAMI
|
245 |
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0 |
|a Data analysis techniques for high-energy physics.
|
250 |
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|a 2nd ed. /
|b R. Frühwirth [and others] ; edited by M. Regler and R. Frühwirth.
|
260 |
|
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|a Cambridge, U.K. ;
|a New York :
|b Cambridge University Press,
|c 2000.
|
300 |
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|a 1 online resource (xxiv, 384 pages) :
|b illustrations
|
336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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490 |
1 |
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|a Cambridge monographs on particle physics, nuclear physics, and cosmology ;
|v 11
|
500 |
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|a Revised edition of: Data analysis techniques for high-energy physics experiments. 1990.
|
504 |
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|a Includes bibliographical references (pages 358-374) and index.
|
505 |
0 |
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|a 1. Real-time data triggering and filtering -- 1.1. Definitions and goals of triggers and filters -- 1.2. Trigger schemes -- 1.3. Queuing theory, queuing simulation and reliability -- 1.4. Classifications of triggers -- 1.5. Examples of triggers -- 1.6. Implementation of triggers -- 1.7. Multiprogramming -- 1.8. Communication lines, bus systems -- 2. Pattern recognition -- 2.1. Foundations of track finding -- 2.2. Principles of pattern recognition -- 2.3. Basic aspects of track finding -- 2.4. Methods of track finding -- 2.5. Finding of particle showers -- 2.6. Identifying particles in ring-imaging Cherenkov counters -- 3. Track and vertex fitting -- 3.1. The task of track fitting -- 3.2. Estimation of track parameters -- 3.3. Fitting the tracks of charged particles -- 3.4. Association of tracks to vertices -- 3.5. Track reconstruction: examples and final remarks -- 4. Tools and concepts for data analysis -- 4.1. Abstracting formulae and data in the computer -- 4.2. Data access methods -- 4.3. Graphics -- 4.4. Multidimensional analysis -- 4.5. Data selection -- 4.6. Data accumulation, projection, and presentation.
|
520 |
1 |
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|a "Now thoroughly revised and up-dated, this book describes techniques for handling and analysing data obtained from high-energy and nuclear physics experiments." "This guide will appeal to graduate students, researchers and computer and electronic engineers involved with experimental physics."--Jacket
|
588 |
0 |
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|a Print version record.
|
590 |
|
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
|
0 |
|a Particles (Nuclear physics)
|x Experiments
|x Data processing.
|
650 |
|
6 |
|a Particules (Physique nucléaire)
|x Expériences
|x Informatique.
|
650 |
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|a SCIENCE
|x Physics
|x Nuclear.
|2 bisacsh
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|a Particles (Nuclear physics)
|x Experiments
|x Data processing.
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|0 (OCoLC)fst01054138
|
700 |
1 |
|
|a Frühwirth, R.
|q (Rudolf)
|
700 |
1 |
|
|a Regler, M.
|
730 |
0 |
|
|a Data analysis techniques for high-energy physics experiments.
|
776 |
0 |
8 |
|i Print version:
|t Data analysis techniques for high-energy physics.
|b 2nd ed.
|d Cambridge, U.K. ; New York : Cambridge University Press, 2000
|z 0521632196
|w (DLC) 99020207
|w (OCoLC)40869767
|
830 |
|
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|a Cambridge monographs on particle physics, nuclear physics, and cosmology ;
|v 11.
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856 |
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|u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=400532
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