prikaz prve stranice dokumenta Introduction and Analysis of a Method for the Investigation of QCD-like Tree Data
  Preuzmi
PDF 670.84 KB
Znanstveni rad - Izvorni znanstveni rad
Introduction and Analysis of a Method for the Investigation of QCD-like Tree Data
Entropy, 24 (2022), 1; 104. https://doi.org/10.3390/e24010104
Jerčić, Marko; Jerčić, Ivan; Poljak, Nikola

Citirajte ovaj rad

Jerčić, M., Jerčić, I. i Poljak, N. (2022). Introduction and Analysis of a Method for the Investigation of QCD-like Tree Data. Entropy, 24. (1). doi: 10.3390/e24010104

Jerčić, Marko, et al. "Introduction and Analysis of a Method for the Investigation of QCD-like Tree Data." Entropy, vol. 24, br. 1, 2022. https://doi.org/10.3390/e24010104

Jerčić, Marko, Ivan Jerčić i Nikola Poljak. "Introduction and Analysis of a Method for the Investigation of QCD-like Tree Data." Entropy 24, br. 1 (2022). https://doi.org/10.3390/e24010104

Jerčić, M., Jerčić, I. i Poljak, N. (2022) 'Introduction and Analysis of a Method for the Investigation of QCD-like Tree Data', Entropy, 24(1). doi: 10.3390/e24010104

Jerčić M, Jerčić I, Poljak N. Introduction and Analysis of a Method for the Investigation of QCD-like Tree Data. Entropy [Internet]. 09.01.2022. [pristupljeno 19.11.2024.];24(1). doi: 10.3390/e24010104

M. Jerčić, I. Jerčić i N. Poljak, "Introduction and Analysis of a Method for the Investigation of QCD-like Tree Data", Entropy, vol. 24, br. 1, Siječanj 2022. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:217:508400. [Citirano: 19.11.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:217:508400
Prijavite se u repozitorij kako biste mogli spremiti objekt u svoju listu.
Podaci o radu
Naslov (engleski)Introduction and Analysis of a Method for the Investigation of QCD-like Tree Data
AutorMarko Jerčić
AutorIvan Jerčić
AutorNikola Poljak
Autorova ustanovaSveučilište u Zagrebu
Prirodoslovno-matematički fakultet
(Fizički odsjek)
Znanstveno / umjetničko
područje, polje i grana		PRIRODNE ZNANOSTI
Fizika
Sažetak (engleski)
The properties of decays that take place during jet formation cannot be easily deduced from the final distribution of particles in a detector. In this work, we first simulate a system of particles with well-defined masses, decay channels, and decay probabilities. This presents the “true system” for which we want to reproduce the decay probability distributions. Assuming we only have the data that this system produces in the detector, we decided to employ an iterative method which uses a neural network as a classifier between events produced in the detector by the “true system” and some arbitrary “test system”. In the end, we compare the distributions obtained with the iterative method to the “true” distributions.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaEntropy
Brojčani podacivol. 24, br. 1, 104
e-ISSN1099-4300
DOIhttps://doi.org/10.3390/e24010104
URN:NBNurn:nbn:hr:217:508400
Datum objave publikacije2022-01-09
ProjektŠifra: IP-2018-01-4108
Naziv (hrvatski): Demistificiranje dvočestičnih korelacija u pp sudarima s nadograđenom komorom vremenske projekcije
Naziv (engleski): Demystification two particle correlations in pp collisions with the upgraded time projection chamber
Kratica: TPCwithTPC
Voditelj: Mirko Planinić
Pravna nadležnost: Hrvatska
Financijer: HRZZ
Linija financiranja: IP
URL dokumentahttps://www.mdpi.com/1099-4300/24/1/104
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
Javna napomena© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Received: 30 November 2021; Accepted: 6 January 2022; Published: 9 January 2022.
Datum i vrijeme pohrane2023-08-18 08:03:18