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I discuss a Monte Carlo algorithm for hadronization in the Lund string fragmentation picture, which conserves energy and momentum exactly as is proposed by the model. An embryo to this Monte Carlo is used to calculate the total decay…

High Energy Physics - Phenomenology · Physics 2016-09-06 Patrik Eden

The Lund Area Law describes the probability for the production of a set of colourless hadrons from an initial set of partons, in the Lund string fragmentation model. In this paper we will present a general method to implement the Area Law…

High Energy Physics - Phenomenology · Physics 2016-09-06 Bo Andersson , Sandipan Mohanty , Fredrik Soderberg

Within the Quark-Gluon String Model A.B. Kaidalov found a behaviour of quark and diquark fragmentation functions for $z\rightarrow 0$ and $z\rightarrow 1$, and proposed interpolation formulae for the functions in the whole region of $z$.…

High Energy Physics - Phenomenology · Physics 2018-06-06 V. Uzhinsky , A. Galoyan

We show how deviations from the dimensional scaling laws for exclusive processes may be related to a breakdown in the locality of quark-hadron duality. The essential principles are illustrated in a pedagogic model of a composite system with…

High Energy Physics - Phenomenology · Physics 2009-11-10 Qiang Zhao , Frank E. Close

An exhaustive number of QCD finite energy sum rules for $\tau$-decay together with the latest updated ALEPH data is used to test the assumption of global duality. Typical checks are the absence of the dimension $d=2$ condensate, the…

High Energy Physics - Phenomenology · Physics 2016-10-12 C. A. Dominguez , L. A. Hernandez , K. Schilcher , H. Spiesberger

Active Reinforcement Learning (ARL) is a twist on RL where the agent observes reward information only if it pays a cost. This subtle change makes exploration substantially more challenging. Powerful principles in RL like optimism, Thompson…

Machine Learning · Computer Science 2018-03-28 Sebastian Schulze , Owain Evans

The assumptions in the Lund model suffice to prescribe a unique stochastic process for the fragmentation of a string into a set of hadrons, so long as the string is "flat", ie as long as the state described by the string consists only of a…

High Energy Physics - Phenomenology · Physics 2007-05-23 B. Andersson , F. Soderberg , S. Mohanty

String vibration represents an active field of research in acoustics. Small-amplitude vibration is often assumed, leading to simplified physical models that can be simulated efficiently. However, the inclusion of nonlinear phenomena due to…

Numerical Analysis · Mathematics 2022-06-08 Michele Ducceschi , Stefan Bilbao

The canonical Monte-Carlo algorithm for simulating the production of string-like topological defects at a phase transition is extended by introducing a distribution of domain sizes. A strong correlation is found between the fraction in the…

High Energy Physics - Phenomenology · Physics 2009-10-28 Andrew Yates , T. W. B. Kibble

We propose a modified procedure for extracting the numerical value for the strong coupling constant $\alpha_s$ from the $\tau$ lepton hadronic decay rate into non-strange particles in the vector channel. We employ the concept of the…

High Energy Physics - Phenomenology · Physics 2012-11-06 B. A. Magradze

This work explores the use of a tree tensor network ansatz to simulate the ground state of a local Hamiltonian on a two-dimensional lattice. By exploiting the entropic area law, the tree tensor network ansatz seems to produce quasi-exact…

Strongly Correlated Electrons · Physics 2009-12-21 L. Tagliacozzo , G. Evenbly , G. Vidal

The area law for entanglement provides one of the most important connections between information theory and quantum many-body physics. It is not only related to the universality of quantum phases, but also to efficient numerical simulations…

Quantum Physics · Physics 2020-09-09 Tomotaka Kuwahara , Keiji Saito

Close to the chiral limit, many calculations in numerical lattice QCD can potentially be accelerated using low-mode deflation techniques. In this paper it is shown that the recently introduced domain-decomposed deflation subspaces can be…

High Energy Physics - Lattice · Physics 2008-11-26 Martin Lüscher

We calculate numerically the R\'enyi bipartite entanglement entropy of the ground state of Klein-Gordon field theory (coupled harmonic oscillators) after fixing the position (partial measurement) of some of the oscillators in $d=1,2$ and…

High Energy Physics - Theory · Physics 2016-03-29 M. A. Rajabpour

We present a Monte-Carlo algorithm for the simulation of the all-order strong coupling expansion of the Z2 gauge theory. This random surface ensemble is equivalent to the standard formulation, but allows to measure some quantities, like…

High Energy Physics - Lattice · Physics 2013-11-21 Tomasz Korzec , Ulli Wolff

T-Duality is a poorly understood symmetry of the space-time fields of string theory that interchanges long and short distances. It is best understood in the context of toroidal compactification where, loosely speaking, radii of the torus…

High Energy Physics - Theory · Physics 2008-11-26 Mark Evans , Ioannis Giannakis

The algorithm for Monte Carlo simulation of parton-level events based on an Artificial Neural Network (ANN) proposed in arXiv:1810.11509 is used to perform a simulation of $H\to 4\ell$ decay. Improvements in the training algorithm have been…

High Energy Physics - Phenomenology · Physics 2021-02-03 I-Kai Chen , Matthew D. Klimek , Maxim Perelstein

We investigate the energy loss of light quarks in a holographic QCD model with conformal invariance broken by a background dilaton. We perform the analysis within falling string and shooting string, respectively. It turns out that the two…

Nuclear Theory · Physics 2021-03-31 Xiangrong Zhu , Zi-qiang Zhang

The improved calculation method of quark distributions in hadrons in the framework of QCD sum rules is presented. The imaginary part of the virtual photon scattering amplitude on some hadronic current is considered in the case, when initial…

High Energy Physics - Phenomenology · Physics 2007-05-23 B. L. Ioffe

Although distributional reinforcement learning (DRL) has been widely examined in the past few years, very few studies investigate the validity of the obtained Q-function estimator in the distributional setting. To fully understand how the…

Machine Learning · Computer Science 2023-08-01 Qi Kuang , Zhoufan Zhu , Liwen Zhang , Fan Zhou
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