Inclusive production of baryons in decays of the ? (9.46) and in quark jets

1981 ◽  
Vol 10 (4) ◽  
pp. 351-356 ◽  
Author(s):  
W. Hofmann
Keyword(s):  
Inclusive Production ◽  
Quark Jets

Extracting αs from scaling violations in light-hadron fragmentation functions

2016 ◽  
Vol 31 (08) ◽  
pp. 1630008
Author(s):  
Bernd A. Kniehl
Keyword(s):  
Experimental Data ◽  
Strong Coupling ◽  
Inclusive Production ◽  
Coupling Constant ◽  
High Luminosity ◽  
Light Hadron ◽  
The Status ◽  
Fragmentation Functions ◽  
Quark Jets ◽  
Scaling Violations

We review the status of extracting the strong-coupling constant [Formula: see text] from the scaling violations in fragmentation functions (FFs) by fitting the latter to experimental data of the inclusive production of single light hadrons in [Formula: see text] annihilation. We also discuss the analogous analysis based on the average hadron multiplicities in gluon and quark jets, which correspond to the first Mellin moments of the respective FFs. We then assess the prospects of such [Formula: see text] determinations at future high-luminosity [Formula: see text] colliders such as the CERN Future Circular Collider operated in the [Formula: see text] annihilation mode (FCC-ee).

scholarly journals Combine and conquer: event reconstruction with Bayesian Ensemble Neural Networks

2021 ◽  
Vol 2021 (4) ◽  
Author(s):  
Jack Y. Araz ◽  
Michael Spannowsky
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Top Quark ◽  
Feature Space ◽  
Training Sample ◽  
Bayesian Techniques ◽  
Training Sample Size ◽  
Event Reconstruction ◽  
Neural Network Classifiers ◽  
Quark Jets

Abstract Ensemble learning is a technique where multiple component learners are combined through a protocol. We propose an Ensemble Neural Network (ENN) that uses the combined latent-feature space of multiple neural network classifiers to improve the representation of the network hypothesis. We apply this approach to construct an ENN from Convolutional and Recurrent Neural Networks to discriminate top-quark jets from QCD jets. Such ENN provides the flexibility to improve the classification beyond simple prediction combining methods by linking different sources of error correlations, hence improving the representation between data and hypothesis. In combination with Bayesian techniques, we show that it can reduce epistemic uncertainties and the entropy of the hypothesis by simultaneously exploiting various kinematic correlations of the system, which also makes the network less susceptible to a limitation in training sample size.

A post-intentional phenomenological investigation of inclusivity in a therapeutic theatre production

2020 ◽  
Vol 7 (2) ◽  
pp. 169-191
Author(s):  
Angelle Cook
Keyword(s):  
Focus Group ◽  
Thematic Analysis ◽  
Personal Growth ◽  
Lived Experiences ◽  
Inclusive Production ◽  
Societal Change ◽  
Structured Interviews ◽  
Theatre Production ◽  
Therapeutic Theatre

This article presents a dissertation study that investigated the lived experiences of participants engaged in an inclusive therapeutic theatre production through a post-intentional phenomenological lens, informed by critical dis/ability theory. The study included ten participants aged 14–26 with a variety of dis/abilities. The data were gathered through semi-structured interviews and a focus group and analysed using thematic analysis. The qualitative findings included six themes and fifteen subthemes. These findings suggested that the participants experienced belonging and community, personal growth and insight, feelings of empowerment and the desire to make societal change by being a part of the inclusive production.

Inclusive production of π0-mesons in πp,Kp and γp collisions at energies around 100 GeV

1991 ◽  
Vol 52 (3) ◽  
pp. 397-405 ◽  
Author(s):  
◽  
R. J. Apsimon ◽  
M. Atkinson ◽  
M. Baake ◽  
L. S. Bagdasarian ◽  
...  
Keyword(s):  
Inclusive Production

THE HARDNESS SPECTRUM OF QUARK- AND GLUON-JETS PRODUCED BY DIFFERENT FLAVOR QUARKS

2008 ◽  
Vol 23 (26) ◽  
pp. 4337-4343 ◽  
Author(s):  
FENG-GE TIAN ◽  
GANG CHEN ◽  
HUI-LING WEI
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Transverse Momentum ◽  
The Other ◽  
Other Hand ◽  
Gluon Jets ◽  
Quark Jets

The hardness properties of quark- and gluon-jets produced by different flavor quarks are compared in 3-jet events of e+e- collision generated with Monte Carlo Simulation Jetset 7.4 generator at [Formula: see text]. The 3-jet events are obtained using the Durham algorithm and the quark- and gluon-jets are identified by angular-method. The average values of transverse momentum 〈pt〉, multiplicity 〈N〉 and rapidity 〈y〉 versus hardness for quark- and gluon-jets of different flavors are compared. It turns out that the distributions of 〈pt〉, 〈N〉 and 〈y〉 versus hardness of quark-jets are different to their flavors, while those of the gluon-jets are insensitive to the flavors. On the other hand, the 〈pt〉 and 〈N〉 of quark- and gluon-jets are strong positive correlated with hardness, but the 〈y〉 of those are negatively correlated with hardness.

scholarly journals Measurement of the inclusive production of neutral pions and charged particles on the Z0 resonance

1991 ◽  
Vol 259 (1-2) ◽  
pp. 199-208 ◽  
Author(s):  
B. Adeva ◽  
O. Adriani ◽  
M. Aguilar-Benitez ◽  
H. Akbari ◽  
J. Alcaraz ◽  
...  
Keyword(s):  
Charged Particles ◽  
Inclusive Production ◽  
Neutral Pions
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