Homogeneity Testing of Weighted Datasets in High Energy Physics

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F21%3A00353107" target="_blank" >RIV/68407700:21340/21:00353107 - isvavai.cz</a>
Result on the web
<a href="https://gams.fjfi.cvut.cz" target="_blank" >https://gams.fjfi.cvut.cz</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Homogeneity Testing of Weighted Datasets in High Energy Physics
Original language description
Simulations of elementary particles play a key role in the attempts to discover new laws of physics, which is why high precision is expected of them. The common approach to generating simulations is the use of Monte Carlo-based algorithms (MC). However, MC simulations are usually in the form of a weighted dataset that makes it impossible to use standard homogeneity tests to verify an agreement between simulations and real measurements. This work examines different approaches to homogeneity testing of weighted datasets and using numerical simulations.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
SPMS 2020/21 Stochastic and Physical Monitoring Systems, Proceedings of the international conferences
ISBN
978-80-01-06922-6
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
101-109
Publisher name
České vysoké učení technické v Praze
Place of publication
Praha
Event location
Malá Skála
Event date
Jun 24, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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