Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Baroň Petr"'
We apply both cut-based and machine learning techniques using the same inputs to the challenge of hadronic jet substructure recognition, utilizing classical subjettiness variables within the Delphes parameterized detector simulation framework. We foc
Externí odkaz:
http://arxiv.org/abs/2410.13904
Autor:
Baron, Petr
Top-quarks and Higgs boson are the only elementary particles that have not been observed in heavy-ion collisions in the ATLAS detector yet. In particular top quarks, the heaviest elementary particles carrying colour charges, have been argued to be at
Externí odkaz:
http://arxiv.org/abs/2312.13293
We apply gradient boosting machine learning techniques to the problem of hadronic jet substructure recognition using classical subjettiness variables available within a common parameterized detector simulation package DELPHES. Per-jet tagging classif
Externí odkaz:
http://arxiv.org/abs/2310.13009
In this paper, we present a new proposal on how to measure quark/gluon jet properties at the LHC. The measurement strategy takes advantage of the fact that the LHC has collected data at different energies. Measurements at two or more energies can be
Externí odkaz:
http://arxiv.org/abs/2307.15378
Autor:
Košťál Michal, Schulc Martin, Rypar Vojtěch, Losa Evžen, Švadlenková Marie, Baroň Petr, Jánský Bohumil, Novák Evžen, Mareček Martin, Uhlíř Jan
Publikováno v:
EPJ Web of Conferences, Vol 146, p 04045 (2017)
The presented paper aims to compare the calculated and experimental reaction rates of 23Na(n,2n)22Na in a well-defined reactor spectra and in the spontaneous fission spectrum of 252Cf. The experimentally determined reaction rate, derived using gamma
Externí odkaz:
https://doaj.org/article/cb400ab4a2fe41ab9318b81d41c81758
Autor:
Baron, Petr
Unfolding in high energy physics represents the correction of measured spectra in data for the finite detector efficiency, acceptance, and resolution from the detector to particle level. Recent machine learning approaches provide unfolding on an even
Externí odkaz:
http://arxiv.org/abs/2104.03036
Autor:
Baron, Petr
Fully Bayesian Unfolding differs from other unfolding methods by providing the full posterior probability of unfolded spectra for each bin. We extended the method for the feature of regularization which could be helpful for unfolding non-smooth, over
Externí odkaz:
http://arxiv.org/abs/2001.05877
Autor:
Baroň, Petr1 (AUTHOR) Petr.Baron@ifj.edu.pl, Seymour, Michael H.2 (AUTHOR), Siódmok, Andrzej3 (AUTHOR)
Publikováno v:
European Physical Journal C -- Particles & Fields. Jan2024, Vol. 84 Issue 1, p1-22. 22p.
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