Application of statistical hypothesis testing to datasets from the high energy physics experiments

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F17%3A00316353" target="_blank" >RIV/68407700:21340/17:00316353 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Application of statistical hypothesis testing to datasets from the high energy physics experiments
Original language description
Homogeneity tests are used in high energy physics for verification of measured data having same distribution as Monte Carlo generated samples. chi-2, Kolmogorov-Smirnov, and Anderson-Darling tests are used to test the samples’ homogeneity. Monte Carlo generators produce samples which entries have assigned weights. To test for homogeneity of data and Monte Carlo sample, generalized (weighted) tests are needed. However, suggested test statistics’ asymptotic properties are not proven; therefore, they are inspected in numerical analysis which focuses on estimations of type-I error and power of test. Homogeneity tests are afterwards used to determine homogeneity of measured data from ATLAS experiment and Monte Carlo samples.
Czech name
—
Czech description
—

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
SPMS 2017 - Stochastic and Physical Monitoring Systems, Proceedings of the international conference
ISBN
978-80-01-06338-5
ISSN
—
e-ISSN
—
Number of pages
10
Pages from-to
99-108
Publisher name
Česká technika - nakladatelství ČVUT
Place of publication
Praha
Event location
Dobřichovice
Event date
Jun 19, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000425554500012

Similar results(10)