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We investigate the p(gamma,K+)Lambda and p(gamma,K+)Sigma^0 reactions within a coupled-channels effective-Lagrangian method which is based on the K-matrix approach. The two-body final channels included are pi-N, eta-N, phi-N, rho-N,…

High Energy Physics - Phenomenology · Physics 2010-04-06 R. Shyam , O. Scholten , H. Lenske

An existing single resonance model with S11, P11 and P13 Breit-Wiegner resonances in the s-channel has been re-applied to the old pi N --> K Lambda data. It has been shown that the standard set of resonant parameters fails to reproduce the…

Nuclear Theory · Physics 2017-08-23 S. Ceci , A. Svarc , B. Zauner

An implementation and an application of the combination of the genetic algorithm and Newton's method for solving a system of nonlinear equations is presented. The method first uses the advantage of the robustness of the genetic algorithm…

Numerical Analysis · Mathematics 2020-07-13 Ryuji Koshikawa , Akira Terui , Masahiko Mikawa

This study analyzes performance of several genetic and evolutionary algorithms on randomly generated NK fitness landscapes with various values of n and k. A large number of NK problem instances are first generated for each n and k, and the…

Neural and Evolutionary Computing · Computer Science 2008-07-30 Martin Pelikan

In recent years, the security related to data over the internet has become a major issue. Different techniques are used to secure the information, one such technique is steganography. In steganography, one can have a cover media as an…

Cryptography and Security · Computer Science 2022-02-02 P N Priya , R Ranjitha , Yashaswini Naik , Shrilekha , Rama Moorthy H

Nuclear Magnetic Resonance (NMR) Spectroscopy is a widely used technique to predict the native structure of proteins. However, NMR machines are only able to report approximate and partial distances between pair of atoms. To build the…

Neural and Evolutionary Computing · Computer Science 2014-11-18 Md. Lisul Islam , Swakkhar Shatabda , M. Sohel Rahman

We present a non-parametric technique to infer the projected-mass distribution of a gravitational lens system with multiple strong-lensed images. The technique involves a dynamic grid in the lens plane on which the mass distribution of the…

Astrophysics · Physics 2009-11-11 J. Liesenborgs , S. De Rijcke , H. Dejonghe

We address the issue of unbiased model selection and propose a methodology based on Bayesian inference to extract physical information from kaon photoproduction $p(\gamma,K^+)\Lambda$ data. We use the single-channel Regge-plus-resonance…

Nuclear Theory · Physics 2012-08-01 Lesley De Cruz , Jan Ryckebusch , Tom Vrancx , Pieter Vancraeyveld

We present a new approach to the problem of estimating the redshift of galaxies from photometric data. The approach uses a genetic algorithm combined with non-linear regression to model the 2SLAQ LRG data set with SDSS DR7 photometry. The…

Instrumentation and Methods for Astrophysics · Physics 2015-04-14 Robert Hogan , Malcolm Fairbairn , Navin Seeburn

Resonance parameters (pole masses and residues) associated with the excited states of hyperons, Lambda^* and Sigma^*, are extracted within a dynamical coupled-channels model developed recently by us [Phys. Rev. C 90, 065204 (2014)] through…

Nuclear Theory · Physics 2015-08-13 H. Kamano , S. X. Nakamura , T. -S. H. Lee , T. Sato

The $(1+(\lambda,\lambda))$ genetic algorithm, first proposed at GECCO 2013, showed a surprisingly good performance on so me optimization problems. The theoretical analysis so far was restricted to the OneMax test function, where this GA…

Neural and Evolutionary Computing · Computer Science 2017-04-17 Maxim Buzdalov , Benjamin Doerr

Genetic programming is an often-used technique for symbolic regression: finding symbolic expressions that match data from an unknown function. To make the symbolic regression more efficient, one can also use dimensionally-aware genetic…

Neural and Evolutionary Computing · Computer Science 2020-04-28 Marko Durasevic , Domagoj Jakobovic , Marcella Scoczynski Ribeiro Martins , Stjepan Picek , Markus Wagner

In recent years, graph neural networks (GNNs) have gained increasing attention, as they possess the excellent capability of processing graph-related problems. In practice, hyperparameter optimisation (HPO) is critical for GNNs to achieve…

Machine Learning · Computer Science 2021-04-29 Yingfang Yuan , Wenjun Wang , Wei Pang

We investigate K*{\Lambda}(1116) photoproduction off the proton and neutron targets in the effective Lagrangian method in the tree-level Born approximation. In addition to the K, K*, and {\kappa} exchanges which are the main contributions…

High Energy Physics - Phenomenology · Physics 2015-06-03 Sang-Ho Kim , Seung-il Nam , Yongseok Oh , Hyun-Chul Kim

The applications of artificial neural networks in the cosmological field have shone successfully during the past decade, this is due to their great ability of modeling large amounts of datasets and complex nonlinear functions. However, in…

Instrumentation and Methods for Astrophysics · Physics 2024-05-08 Isidro Gómez-Vargas , Joshua Briones Andrade , J. Alberto Vázquez

This paper proposes Genetic Algorithm with Border Trades (GAB), a novel modification of the standard genetic algorithm that enhances exploration by incorporating new chromosome patterns in the breeding process. This approach significantly…

Machine Learning · Computer Science 2025-06-27 Qingchuan Lyu

The recently released data on differential cross sections for $\gamma n \to K^0\Sigma^0$ from the A2 and BGOOD Collaborations are used to examine the theoretical model constructed in our previous work [Phys. Rev. D \textbf{105}, 094017…

High Energy Physics - Phenomenology · Physics 2023-06-21 Neng-Chang Wei , Ai-Chao Wang , Fei Huang

Based on previous studies that support the important role of the $N^*(2120) D_{13}$ resonance in the $\gamma p \to K^+ \Lambda(1520)$ reaction, we make a re-analysis of this $\Lambda(1520)$ photoproduction reaction taking into account the…

Nuclear Theory · Physics 2014-02-20 Ju-Jun Xie , En Wang , J. Nieves

Filtered diode array spectrometers are routinely employed to infer the temporal evolution of spectral power from x-ray sources, but uniquely extracting spectral content from a finite set of broad, spectrally overlapping channel spectral…

Computational Physics · Physics 2020-08-03 G. E. Kemp , M. S. Rubery , C. D. Harris , M. J. May , K. Widmann , R. F. Heeter , S. B. Libby , M. B. Schneider , B. E. Blue

Reliability is one of the important measures of how well the system meets its design objective, and mathematically is the probability that a system will perform satisfactorily for at least a given period of time. When the system is…

Physics and Society · Physics 2014-12-16 Ho Tat Lam , Kwok Yip Szeto