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Journal articles on the topic 'Jet algorithms'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 April 2022

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1

Dokshitzer, Yu L., G. D. Leder, S. Moretti, and B. R. Webber. "Better jet clustering algorithms." Journal of High Energy Physics 1997, no. 08 (1997): 001. http://dx.doi.org/10.1088/1126-6708/1997/08/001.

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2

Atkin, Ryan. "Review of jet reconstruction algorithms." Journal of Physics: Conference Series 645 (October 15, 2015): 012008. http://dx.doi.org/10.1088/1742-6596/645/1/012008.

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3

Simons, Taylor, and Dah-Jye Lee. "Jet Features: Hardware-Friendly, Learned Convolutional Kernels for High-Speed Image Classification." Electronics 8, no. 5 (2019): 588. http://dx.doi.org/10.3390/electronics8050588.

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This paper explores a set of learned convolutional kernels which we call Jet Features. Jet Features are efficient to compute in software, easy to implement in hardware and perform well on visual inspection tasks. Because Jet Features can be learned, they can be used in machine learning algorithms. Using Jet Features, we make significant improvements on our previous work, the Evolution Constructed Features (ECO Features) algorithm. Not only do we gain a 3.7× speedup in software without loosing any accuracy on the CIFAR-10 and MNIST datasets, but Jet Features also allow us to implement the algorithm in an FPGA using only a fraction of its resources. We hope to apply the benefits of Jet Features to Convolutional Neural Networks in the future.

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4

Forster, Richárd, and Ágnes Fülöp. "Hierarchical kt jet clustering for parallel architectures." Acta Universitatis Sapientiae, Informatica 9, no. 2 (2017): 195–213. http://dx.doi.org/10.1515/ausi-2017-0012.

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AbstractThe reconstruction and analyze of measured data play important role in the research of high energy particle physics. This leads to new results in both experimental and theoretical physics. This requires algorithm improvements and high computer capacity. Clustering algorithm makes it possible to get to know the jet structure more accurately. More granular parallelization of the kt cluster algorithms was explored by combining it with the hierarchical clustering methods used in network evaluations. The kt method allows to know the development of particles due to the collision of high-energy nucleus-nucleus. The hierarchical clustering algorithms works on graphs, so the particle information used by the standard kt algorithm was first transformed into an appropriate graph, representing the network of particles. Testing was done using data samples from the Alice offine library, which contains the required modules to simulate the ALICE detector that is a dedicated Pb-Pb detector. The proposed algorithm was compared to the FastJet toolkit's standard longitudinal invariant kt implementation. Parallelizing the standard non-optimized version of this algorithm utilizing the available CPU architecture proved to be 1:6 times faster, than the standard implementation, while the proposed solution in this paper was able to achieve a 12 times faster computing performance, also being scalable enough to efficiently run on GPUs.

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Forster, Richárd, and Ágnes Fűlőp. "Parallel kt jet clustering algorithm." Acta Universitatis Sapientiae, Informatica 9, no. 1 (2017): 49–64. http://dx.doi.org/10.1515/ausi-2017-0004.

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Abstract The numerical simulation allows to study the high energy particle physics. It plays important of role in the reconstruction and analyze of these experimental and theoretical researches. This requires a computer background with a large capacity. Jet physics is an intensively researched area, where the factorization process can be solved by algorithmic solutions. We studied parallelization of the kt cluster algorithms. This method allows to know the development of particles due to the collision of highenergy nucleus-nucleus. The Alice offline library contains the required modules to simulate the ALICE detector that is a dedicated Pb-Pb detector. Using this simulation we can generate input particles, that we can further analyzed by clustering them, reconstructing their jet structure. The FastJet toolkit is an efficient C++ implementation of the most widely used jet clustering algorithms, among them the kt clustering. Parallelizing the standard non-optimized version of this algorithm utilizing the available CPU architecture a 1:6 times faster runtime was achieved, paving the way to drastic performance increase using many-core architectures.

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B. Siyambalampitiya, Sarath. "Educational Management: Timetable Scheduling Algorithms." i-manager's Journal of Educational Technology 2, no. 4 (2006): 45–51. http://dx.doi.org/10.26634/jet.2.4.759.

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7

Pumplin, Jon. "Jet algorithms and top quark mass measurement." Physical Review D 55, no. 1 (1997): 173–82. http://dx.doi.org/10.1103/physrevd.55.173.

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8

ALON, RAZ. "JET RESULTS, JET RECONSTRUCTION, AND UNDERLYING EVENT STUDIES AT CDF." International Journal of Modern Physics E 20, no. 07 (2011): 1572–77. http://dx.doi.org/10.1142/s0218301311019891.

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We present recent results of jet studies from the CDF Collaboration. The inclusive jet cross section measurements using different clustering algorithms, dijet production, and vector boson plus jet production measurements, are discussed. We also present the first study of highly boosted and massive jets. The properties of these jets, including the mass of the jet and several other observables, such as angularity and planar flow, are discussed.

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9

Coma, Martí, Navid Monshi Tousi, Jordi Pons-Prats, Gabriel Bugeda, and Josep M. Bergada. "A New Hybrid Optimization Method, Application to a Single Objective Active Flow Control Test Case." Applied Sciences 12, no. 8 (2022): 3894. http://dx.doi.org/10.3390/app12083894.

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Genetic Algorithms (GA) are useful optimization methods for exploration of the search space, but they usually have slowness problems to exploit and converge to the minimum. On the other hand, gradient based methods converge faster to local minimums, although are not so robust (e.g., flat areas and discontinuities can cause problems) and they lack exploration capabilities. This article presents a hybrid optimization method trying to combine the virtues of genetic and gradient based algorithms, and to overcome their corresponding drawbacks. The performance of the Hybrid Method is compared against a gradient based method and a Genetic Algorithm, both used alone. The rate of convergence of the methods is used to compare their performance. To take into account the robustness of the methods, each one has been executed more than once, with different starting points for the gradient based method and different random seeds for the Genetic Algorithm and the Hybrid Method. The performance of the different methods is tested against an optimization Active Flow Control (AFC) problem over a 2D Selig–Donovan 7003 (SD7003) airfoil at Reynolds number 6×104 and a 14 degree angle of attack. Five design variables are considered: jet position, jet width, momentum coefficient, forcing frequency and jet inclination angle. The objective function is defined as minus the lift coefficient (−Cl), so it is defined as a minimization problem. The proposed Hybrid Method enables working with N optimization algorithms, multiple objective functions and design variables per optimization algorithm.

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10

Fromm, C. M., Z. Younsi, A. Baczko, et al. "Using evolutionary algorithms to model relativistic jets." Astronomy & Astrophysics 629 (August 22, 2019): A4. http://dx.doi.org/10.1051/0004-6361/201834724.

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Context. High-resolution very long baseline interferometry (VLBI) observations of NGC 1052 show a two sided jet with several regions of enhanced emission and a clear emission gap between the two jets. This gap shrinks with increasing frequency and vanishes around ν ∼ 43 GHz. The observed structures are due to both the macroscopic fluid dynamics interacting with the surrounding ambient medium including an obscuring torus and the radiation microphysics. In order to model the observations of NGC 1052 via state-of-the art numerical simulations both the fluid-dynamical and emission processes have to be taken into account. Aims. In this paper we investigate the possible physical conditions in relativistic jets of NGC 1052 by directly modelling the observed emission and spectra via state-of-the-art special-relativistic hydrodynamic (SRHD) simulations and radiative transfer calculations. Methods. We performed SRHD simulations of over-pressured and pressure-matched jets using the special-relativistic hydrodynamics code Ratpenat. To investigate the physical conditions in the relativistic jet we coupled our radiative transfer code to evolutionary algorithms and performed simultaneous modelling of the observed jet structure and the broadband radio spectrum. During the calculation of the radiation we consider non-thermal emission from the jet and thermal absorption in the obscuring torus. In order to compare our model to VLBI observations we take into account the sparse sampling of the u-v plane, the array properties and the imaging algorithm. Results. We present for the first time an end-to-end pipeline for fitting numerical simulations to VLBI observations of relativistic jets taking into account the macro-physics including fluid dynamics and ambient medium configurations together with thermal and non-thermal emission and the properties of the observing array. The detailed analysis of our simulations shows that the structure and properties of the observed relativistic jets in NGC 1052 can be reconstructed by a slightly over-pressured jet (dk ∼ 1.5) embedded in a decreasing pressure ambient medium

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11

Bin Deris, Safaai, and Nazar Zaki. "Image Segmentationand Intelligent Algorithms for Cell Tracking." Journal of Engineering Technology 6, no. 2 (2016): 199–216. http://dx.doi.org/10.21859/jet-060216.

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12

Kramar, Davorin, Djordje Cica, Branislav Sredanovic, and Janez Kopac. "Design of fuzzy expert system for predicting of surface roughness in high-pressure jet assisted turning using bioinspired algorithms." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30, no. 1 (2015): 96–106. http://dx.doi.org/10.1017/s0890060415000189.

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AbstractThe surface roughness of the machined parts is one of the most important factors that have considerable influence on the quality and functional properties of products. The objective of this study is development of a surface roughness prediction model for machining Inconel 718 in high-pressure jet assisted turning using the fuzzy expert system, where the fuzzy system is optimized using two bioinspired algorithms: genetic algorithm and particle swarm optimization. The effect of various influential machining parameters, such as diameter of the nozzle, pressure of the jet, cutting speed, feed rate, and distance between the impact point of the jet and cutting edge were taken into consideration in this study. The predicted surface roughness values obtained from developed fuzzy expert systems were compared with the experimental data, and the results indicate that proposed systems can be effectively used to estimate the surface roughness in high-pressure jet assisted turning.

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13

Ershov, V., and V. V. Palchikovskiy. "Comparison of beamforming algorithms based on localization of calibrating sound sources and air jet noise." International Journal of Engineering & Technology 7, no. 2.23 (2018): 119. http://dx.doi.org/10.14419/ijet.v7i2.23.11896.

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The paper considers study of beamforming algorithms for localization of noise sources. The mathematical formulations are briefly described for the following algorithms: Delay-and-Sum Beamforming, Cross-spectral Beamforming, Deconvolution Approach for the Mapping of Acoustic Sources (DAMAS). Based on the mentioned algorithms the program codes were developed. Operability of the program codes was tested on virtual localization of the point sources. All algorithms demonstrated good ability to distinguish these sources at different frequencies at their close position relative to each other. Initially, experiments were based on localization of calibrating static sound sources (beepers) using Bruel & Kjaer 54-microphone array. The measured data were processed both in the Bruel & Kjaer software and in the developed software. For static point sources, all algorithms have shown good work quality. The experiments were also carried out for the localization of noise sources in a turbulent air jet. In this case, the best results were demonstrated by Cross-Spectral Beamforming algorithm.

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14

Shao, Dong Xiang, J. Li, Ze Sheng Lu, and Guang Lin Wang. "Microscope Measurement of Jet-Pan Based on CCD." Key Engineering Materials 455 (December 2010): 525–29. http://dx.doi.org/10.4028/www.scientific.net/kem.455.525.

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The jet-pan is a key part of jet-pan servo valve. Required precision of jet-pan should be guaranteed in process. CCD microscope measurement is used to deals with the measurement of jet-pan in the paper. The worepiece is enlarged by the optical microscope, and a series of image processing algorithms is used to process the image. The basic dimensions and geometrical tolerance of jet-pan are measured. And the stability error is less than ±0.5μm.

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15

Molnos, Sonja, Tarek Mamdouh, Stefan Petri, Thomas Nocke, Tino Weinkauf, and Dim Coumou. "A network-based detection scheme for the jet stream core." Earth System Dynamics 8, no. 1 (2017): 75–89. http://dx.doi.org/10.5194/esd-8-75-2017.

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Abstract. The polar and subtropical jet streams are strong upper-level winds with a crucial influence on weather throughout the Northern Hemisphere midlatitudes. In particular, the polar jet is located between cold arctic air to the north and warmer subtropical air to the south. Strongly meandering states therefore often lead to extreme surface weather. Some algorithms exist which can detect the 2-D (latitude and longitude) jets' core around the hemisphere, but all of them use a minimal threshold to determine the subtropical and polar jet stream. This is particularly problematic for the polar jet stream, whose wind velocities can change rapidly from very weak to very high values and vice versa. We develop a network-based scheme using Dijkstra's shortest-path algorithm to detect the polar and subtropical jet stream core. This algorithm not only considers the commonly used wind strength for core detection but also takes wind direction and climatological latitudinal position into account. Furthermore, it distinguishes between polar and subtropical jet, and between separate and merged jet states. The parameter values of the detection scheme are optimized using simulated annealing and a skill function that accounts for the zonal-mean jet stream position (Rikus, 2015). After the successful optimization process, we apply our scheme to reanalysis data covering 1979–2015 and calculate seasonal-mean probabilistic maps and trends in wind strength and position of jet streams. We present longitudinally defined probability distributions of the positions for both jets for all on the Northern Hemisphere seasons. This shows that winter is characterized by two well-separated jets over Europe and Asia (ca. 20° W to 140° E). In contrast, summer normally has a single merged jet over the western hemisphere but can have both merged and separated jet states in the eastern hemisphere. With this algorithm it is possible to investigate the position of the jets' cores around the hemisphere and it is therefore very suitable to analyze jet stream patterns in observations and models, enabling more advanced model-validation.

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16

Webber, B. R. "Factorization and jet clustering algorithms for deep-inelastic scattering." Journal of Physics G: Nuclear and Particle Physics 19, no. 10 (1993): 1567–75. http://dx.doi.org/10.1088/0954-3899/19/10/012.

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17

Varga, Zoltán, Róbert Vértesi, and Gergely Gábor Barnaföldi. "Multiplicity Dependence of the Jet Structures in pp Collisions at LHC Energies." Proceedings 10, no. 1 (2019): 3. http://dx.doi.org/10.3390/proceedings2019010003.

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We study the charged event multiplicity dependence of the jet structure in pp collisions.We present evidence for jet shape modification due to multi-parton interactions using PYTHIAand HIJING++ Monte Carlo (MC) event generators as an input to our analysis. We introducea characteristic jet size measure which is independent of the choice of simulation parameters,parton distribution functions, jet reconstruction algorithms and even of the presence or absenceof multi-parton interactions. We also investigate heavy-flavor jets and show the sensitivity of themultiplicity-differential jet structure to flavor-dependent fragmentation.

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18

Cacciari, Matteo. "Phenomenological and theoretical developments in jet physics at the LHC." International Journal of Modern Physics A 30, no. 31 (2015): 1546001. http://dx.doi.org/10.1142/s0217751x1546001x.

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We review the history of jets in high energy physics, and describe in more detail the developments of the past ten years, discussing new algorithms for jet finding and their main characteristics, and summarising the status of perturbative calculations for jet cross sections in hadroproduction. We also describe the emergence of jet grooming and tagging techniques and their application to boosted jets analyses.

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19

Varga, Zoltán, Róbert Vértesi, and Gergely Gábor Barnaföldi. "Jet Structure Studies in Small Systems." Universe 5, no. 5 (2019): 132. http://dx.doi.org/10.3390/universe5050132.

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A study investigating a possible jet shape dependence on the charged event multiplicity was performed on collision samples generated by Monte–Carlo (MC) event generators Pythia and Hijing++. We calculated the integral jet shape and found a significant modification caused by multiple-parton interactions. By interchanging and enabling different model ingredients in the simulations and analyzing the results in several     p T    bins and event multiplicity classes, we found a characteristic jet size measure that was independent of the chosen tunes, settings, and jet reconstruction algorithms.

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20

Kozakiewicz, Adam, and Rafał Kieszek. "Creating of model of genetic algorithm used to optimization of construction of jet engine element." Mechanik 90, no. 7 (2017): 603–5. http://dx.doi.org/10.17814/mechanik.2017.7.86.

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In this paper authors show results of optimization of compressor discs in turbine engines. The problem of optimizing the thickness of the disc brought to the NP-complete problem, and solved it by using one of the genetic algorithms – evolutionary algorithm. Correctness of model and optimization algorithm were constantly checked. At the end of this paper, compressor disc created due to traditional technology and disc created by BLISK technology were compared.

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21

Mochizuki, Kazuya. "b-jet identification algorithms and performance in the ATLAS experiment." Nuclear and Particle Physics Proceedings 273-275 (April 2016): 2536–38. http://dx.doi.org/10.1016/j.nuclphysbps.2015.09.450.

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22

Moretti, Stefano, Leif Lönnblad, and Torbjörn Sjöstrand. "New and old jet clustering algorithms for electron-positron events." Journal of High Energy Physics 1998, no. 08 (1998): 001. http://dx.doi.org/10.1088/1126-6708/1998/08/001.

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23

PRUNEAU, CLAUDE. "METHODS FOR JET STUDIES WITH THREE-PARTICLE CORRELATIONS." International Journal of Modern Physics E 16, no. 07n08 (2007): 1964–70. http://dx.doi.org/10.1142/s0218301307007301.

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We present a method based on three-particle azimuthal correlation cumulants for the study of the interaction of jets with the medium produced in heavy ion collisions at RHIC and LHC where jets cannot be reconstructed on an event-by-event basis with conventional jet finding algorithms. The method is specifically designed to distinguish a range of jet interaction mechanisms such as Mach cone emission, gluon Cerenkov emission, jet scattering, and jet broadening. We discuss how anisotropic flow background conti-butions of second order (e.g. [Formula: see text]) are suppressed in three-particle azimuthal correlation cumulants, and discussed specific model representations of di-jets, away-side scattering, and Mach cone emission.

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24

Dahiya, S., M. Kaur, and S. Dhamija. "Analysis of multiplicities in e$plus$e$minus$ interactions using 2-jet rates from different jet algorithms." Journal of Physics G: Nuclear and Particle Physics 28, no. 8 (2002): 2169–78. http://dx.doi.org/10.1088/0954-3899/28/8/303.

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25

Sharma, Vishal S., Amit Kumar, Munish Kumar Gupta, and Neeraj Bhanot. "Process Parameter Optimization for Abrasive Water Jet Machining of Titanium Alloy Using Meta-Heuristic Algorithms." MATEC Web of Conferences 221 (2018): 01004. http://dx.doi.org/10.1051/matecconf/201822101004.

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Recently, the trend of optimization algorithms for improvements of surface quality and productivity characteristics in abrasive water jet machining of titanium alloy (Ti-6Al-4V alloy) has become increasingly more widespread in various industrial sectors i.e., aircraft and automobile Industries. Here, the present research attempts to select the ideal or best AWJM process parameters by implementing the well known meta-heuristic algorithm i.e., Teacher learning based optimization method (TLBO). The AWJM experiments as per the Taguchi L9 orthogonal array were performed on Ti 6Al-4V titanium alloy by considering jet transverse speed, stand-off distance and abrasive flow as the input parameters. Then, the influence of process parameters on surface roughness and material removal rate has been performed by means plot and ANOVA analysis. After that, the results are optimized with the TLBO method. The overall results indicate that the TLBO method is an efficient method used to find the optimal results with very short interval of time i.e., within 3 sec.

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26

Hu, Feng, Hao Wu, Qin Fang, and Jinchun Liu. "Numerical simulations of shaped charge jet penetration into concrete-like targets." International Journal of Protective Structures 8, no. 2 (2017): 237–59. http://dx.doi.org/10.1177/2041419617706863.

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Shaped charge jet has been widely applied in the military and energy sources’ extraction fields; while the related investigations on the shaped charge jet penetration into concrete-like target are still limited, a series of numerical simulation works are conducted in this article. Holmquist–Johnson–Cook and Johnson–Cook models are used to describe the concrete-like targets and metal liner/casing of the shaped charge, respectively. The whole process including the formation, elongation in the air, and penetration into concrete-like target of shaped charge jet is reproduced using the multi-material arbitrary Lagrange–Euler algorithm and fluid–structure interaction method implemented in LS-DYNA. Simultaneously, the striking velocities of the jet (both tip and tail) and the damage of target (diameter and depth of penetration borehole) are derived. The above constitutive models, the corresponding material parameters, and the finite element algorithms are validated by comparing with the available tests’ data. The analyses of parametric influences are further performed. It indicates that for the unfragmented shaped charge jet, the penetration depth increases and the average penetration borehole diameter decreases with the standoff distance increasing, respectively; the compressive strength of concrete target has slight influence on the penetration depth of shaped charge jet; the diameter of shaped charge jet penetration borehole with aluminum liner is larger, while that with copper liner has a deeper penetration depth. It can also be found that the influence of explosive type on the penetration performance of shaped charge jet is negligible at small standoff distance, while the explosive LX-14 performs better than explosives Octol, B, and 8701 at larger standoff distance.

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27

Krivoshchekov, Sergey, Alexander Kochnev, and Evgeny Ozhgibesov. "The Application of Neural Networks to Forecast Radial Jet Drilling Effectiveness." Energies 15, no. 5 (2022): 1917. http://dx.doi.org/10.3390/en15051917.

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This paper aims to study the applicability of machine-learning algorithms, specifically neural networks, for forecasting the effectiveness of Improved recovery methods. Radial jet drilling is the case operation in this study. Understanding changes in reservoir flow properties and their effect on liquid flow rate is essential to evaluate the radial jet drilling effectiveness. Therefore, liquid flow rate after radial jet drilling is the target variable, while geological and process parameters have been taken as features. The effect of various network parameters on learning quality has been assessed. As a result, conclusions on the applicability of neural networks to evaluate the radial jet drilling potential of wells in various geological conditions of carbonate reservoirs have been made.

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28

Kogan, Irina A. "Two Algorithms for a Moving Frame Construction." Canadian Journal of Mathematics 55, no. 2 (2003): 266–91. http://dx.doi.org/10.4153/cjm-2003-013-2.

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AbstractThe method of moving frames, introduced by Elie Cartan, is a powerful tool for the solution of various equivalence problems. The practical implementation of Cartan's method, however, remains challenging, despite its later significant development and generalization. This paper presents two new variations on the Fels and Olver algorithm, which under some conditions on the group action, simplify a moving frame construction. In addition, the first algorithm leads to a better understanding of invariant differential forms on the jet bundles, while the second expresses the differential invariants for the entire group in terms of the differential invariants of its subgroup.

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29

Paganini, Michela. "Machine Learning Algorithms for b-Jet Tagging at the ATLAS Experiment." Journal of Physics: Conference Series 1085 (September 2018): 042031. http://dx.doi.org/10.1088/1742-6596/1085/4/042031.

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30

Hedberg, V., G. Ingelman, C. Jacobsson, and L. Jönsson. "Study of jet reconstruction algorithms for deep-inelastic events at HERA." Zeitschrift für Physik C Particles and Fields 63, no. 1 (1994): 49–62. http://dx.doi.org/10.1007/bf01577543.

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31

Shokoohi, F., and H. G. Elrod. "Algorithms for Eulerian treatment of jet breakup induced by surface tension." Journal of Computational Physics 89, no. 2 (1990): 483–87. http://dx.doi.org/10.1016/0021-9991(90)90154-s.

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32

Chliapnikov, P. V., V. A. Uvarov, and F. Bianchi. "Systematics in properties of jets reconstructed by the jet-finding algorithms." Physics Letters B 300, no. 1-2 (1993): 183–89. http://dx.doi.org/10.1016/0370-2693(93)90768-d.

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33

Zhu, Duan Yin, and Jian Ning Xu. "Research on Numerical Simulation of Jet Pump Design System Parameters Matching in the Oilfield." Applied Mechanics and Materials 248 (December 2012): 124–28. http://dx.doi.org/10.4028/www.scientific.net/amm.248.124.

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Jet pump has different basic characteristics when it is used in different application condition. According to jet pump structural design matching technological parameter used in the oilfield unloading system, research on four kinds of numerical simulation algorithms. They are work characteristics of ground power pump model, target liquid production model, current pressure model and pump setting depth model. The results show that the four models can meet the needs of structural design and technological parameter calculation in different conditions. This paper form system theory, provide for pump design and selection matching for jet pump unloading system used in well.

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34

Tkachov, Fyodor V. "Measuring Multijet Structure of Hadronic Energy Flow or, What is a jet?" International Journal of Modern Physics A 12, no. 30 (1997): 5411–529. http://dx.doi.org/10.1142/s0217751x97002899.

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Ambiguities of jet algorithms are reinterpreted as instability wrt small variations of input. Optimal stability occurs for observables possessing property of calorimetric continuity (C-continuity) predetermined by kinematical structure of calorimetric detectors. The so-called C-correlators form a basic class of such observables and fit naturally into QFT framework, allowing systematic theoretical studies. A few rules generate other C-continuous observables. The resulting C-algebra correctly quantifies any feature of multijet structure such as the "number of jets" and mass spectra of "multijet substates." The new observables are physically equivalent to traditional ones but can be computed from final states bypassing jet algorithms which reemerge as a tool of approximate computation of C-observables from data with all ambiguities under analytical control and an optimal recombination criterion minimizing approximation errors.

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35

COLLINS, ROBERT T., MICHAEL T. HARRIS, and OSMAN A. BASARAN. "Breakup of electrified jets." Journal of Fluid Mechanics 588 (September 24, 2007): 75–129. http://dx.doi.org/10.1017/s0022112007007409.

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Breakup of electrified jets is important in applications as diverse as electrospraying, electroseparations and electrospray mass spectrometry. Breakup of a perfectly conducting, incompressible Newtonian liquid jet surrounded by a passive insulating gas that is stressed by a radial electric field is studied by a temporal analysis. An initially quiescent jet is subjected to axially periodic shape perturbations and the ensuing dynamics are followed numerically until pinch-off by both a three-dimensional but axisymmetric (two-dimensional) and a one-dimensional slender-jet algorithm. Results computed with these algorithms are verified against predictions from linear theory for short times. Breakup times, ratios of the sizes of the primary to satellite drops formed at pinch-off, and the Coulombic stability of these drops are reported over a wide range of electrical Bond numbers, NE (ratio of electric to surface tension force), Ohnesorge numbers, NOh (ratio of viscous to surface tension force), and disturbance wavenumbers, k. Effect of surface charge on interface overturning is investigated. Furthermore, the influence of electrostatic stresses on the dynamics of pinch-off and the mechanisms of satellite drop formation is also addressed.

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36

Zulaika, Mikel, Daniel Ganuza, Alicia Arenal, José María De La Fuente, Francisco García, and Alberto Pérez. "Control algorithms developed for the enhanced radial field amplifier (ERFA) for JET." Fusion Engineering and Design 86, no. 6-8 (2011): 1514–18. http://dx.doi.org/10.1016/j.fusengdes.2011.04.007.

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37

Niknamian, Sorush. "The optimization of a jet turbojet engine by PSO and searching algorithms." Journal of Applied Science, Engineering, Technology, and Education 3, no. 1 (2020): 7–11. http://dx.doi.org/10.35877/454ri.asci3195.

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The turbojet engine operates on the ideal Brayton cycle (gas turbine) and consists of six main parts: diffusers, compressors, combustion chambers, turbines, afterburners and nozzles. Using computer code writing in MATLAB software environment, exergy analysis on all selected turbojet engine components, exergy analysis on J85-GE-21 turbojet engine for selective height of 1000-8000 meters above sea level at speeds of 200 m/s and temperatures of 10°C, 20°C and 40°C have been provided and then, according to the system functions, the system is optimized based on the PSO method. For the purpose of optimization, variables of Mach number, efficiency of the compressor, turbine, nozzle and compressor pressure ratio are considered in the range of 0.6 to 1.4, 0.8 to 0.95, 0.8 to 0.95 and 7 to 10, respectively. The highest exergy efficiency of different parts of the engine at sea level with an inlet air velocity of 200 m/s corresponds to a diffuser with 73.1%. Then, the nozzle and combustion chamber are respectively 68.6% and 51.5%. The lowest exergy efficiency is related to compressor with 4%. After that, the afterburner is ranked second with 11.6%. Also, the values of entropy produced and the efficiency of the second law before optimization were 1176.99 and 479 w/k respectively and the same values after optimization were 1129 and 51.4 w/k respectively which is identified. After the optimization process, the amount of entropy produced is reduced and the efficiency of the second law of thermodynamics has increased.

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38

Bethke, S., Z. Kunszt, D. E. Soper, and W. J. Stirling. "New jet cluster algorithms: next-to-leading order QCD and hadronization corrections." Nuclear Physics B 370, no. 2 (1992): 310–34. http://dx.doi.org/10.1016/0550-3213(92)90289-n.

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Morán Cañón, Mario, and Julien Sebag. "Two algorithms for computing the general component of jet scheme and applications." Journal of Symbolic Computation 113 (November 2022): 74–96. http://dx.doi.org/10.1016/j.jsc.2022.02.004.

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Smponias, Theodoros, and Odysseas Kosmas. "Neutrino Emission from Magnetized Microquasar Jets." Advances in High Energy Physics 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/4962741.

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The hadronic jets in a microquasar stellar system are modeled with the relativistic hydrocode PLUTO. We focus on neutrino emission from such jets produced by fast proton (nonthermal) collisions on thermal ones within the hadronic jet. We adopt a semianalytical approximation for the description of the secondary particles produced from p-p collisions and develop appropriate algorithms using the aforementioned injected protons as input. As a concrete example, we consider the SS-433 X-ray binary system for which several observations have been made the last decades. In contrast to the preset distribution of the fast protons along the jet employed in our previous works, in the present paper, we simulated it by using a power-law fast proton distribution along the PLUTO hydrocode. This distribution gradually sweeps aside the surrounding winds, during the jet advance through the computational grid. As a first step, in the present work, the neutrino energy spectrum is extracted from the model jet, facilitating a range of potential dynamical simulations in currently interesting microquasar jet systems.

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Dils, B., M. Buchwitz, M. Reuter, et al. "The Greenhouse Gas Climate Change Initiative (GHG-CCI): comparative validation of GHG-CCI SCIAMACHY/ENVISAT and TANSO-FTS/GOSAT CO<sub>2</sub> and CH<sub>4</sub> retrieval algorithm products with measurements from the TCCON network." Atmospheric Measurement Techniques Discussions 6, no. 5 (2013): 8679–741. http://dx.doi.org/10.5194/amtd-6-8679-2013.

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Abstract. Column-averaged dry-air mole fractions of carbon dioxide and methane have been retrieved from spectra acquired by the TANSO-FTS and SCIAMACHY instruments on board GOSAT and ENVISAT using a range of European retrieval algorithms. These retrievals have been compared with data from ground-based high-resolution Fourier Transform Spectrometers (FTS) from the Total Carbon Column Observing Network (TCCON). The participating algorithms are the Weighting Function Modified Differential Optical Absorption Spectroscopy (DOAS) algorithm (WFMD, University of Bremen), the Bremen Optimal Estimation DOAS algorithm (BESD, University of Bremen), the Iterative Maximum A Posteriori DOAS (IMAP, Jet Propulsion Laboratory (JPL) and Netherlands Institute for Space Research algorithm (SRON)), the proxy and full-physics versions of SRON's RemoTeC algorithm (SRPR and SRFP respectively) and the proxy and full-physics versions of the University of Leicester's adaptation of the OCO (Orbiting Carbon Observatory) algorithm (OCPR and OCFP respectively). The goal of this algorithm inter-comparison was to identify strengths and weaknesses of the various so-called Round Robin data sets generated with the various algorithms so as to determine which of the competing algorithms would proceed to the next round of the European Space Agency's (ESA) Greenhouse Gas Climate Change Initiative (GHG-CCI) project, which is the generation of the so-called Climate Research Data Package (CRDP), which is the first version of the Essential Climate Variable (ECV) "Greenhouse Gases" (GHG). For CO2, all algorithms reach the precision requirements for inverse modelling (< 8 ppb), with only WFMD having a lower precision (4.7 ppm) than the other algorithm products (2.4–2.5 ppm). When looking at the seasonal relative accuracy (SRA, variability of the bias in space and time), none of the algorithms have reached the demanding < 0.5 ppm threshold. For CH4, the precision for both SCIAMACHY products (50.2 ppb for IMAP and 76.4 ppb for WFMD) fail to meet the < 34 ppb threshold, but note that this work focusses on the period after the 2005 SCIAMACHY detector degradation. The GOSAT XCH4 precision ranges between 18.1 and 14.0 ppb. Looking at the SRA, all GOSAT algorithm products reach the < 10 ppm threshold (values ranging between 5.4 and 6.2 ppb). For SCIAMACHY, IMAP and WFMD have a SRA of 17.2 ppb and 10.5 ppb respectively.

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Fernandes, A., R. C. Pereira, D. F. Valcárcel, et al. "Real-time algorithms for JET hard X-ray and gamma-ray profile monitor." Fusion Engineering and Design 89, no. 3 (2014): 259–66. http://dx.doi.org/10.1016/j.fusengdes.2013.08.002.

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Portes de Albuquerque, Márcio, Marcelo Portes de Albuquerque, Germano T. Chacon, E. L. de Faria, and Andrea Murari. "High-Speed Image Processing Algorithms for Real-Time Detection of MARFEs on JET." IEEE Transactions on Plasma Science 40, no. 12 (2012): 3485–92. http://dx.doi.org/10.1109/tps.2012.2223235.

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Seymour, Michael H. "Searches for new particles using cone and cluster jet algorithms: a comparative study." Zeitschrift für Physik C Particles and Fields 62, no. 1 (1994): 127–38. http://dx.doi.org/10.1007/bf01559532.

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Durodié, F., P. Dumortier, T. Blackman, et al. "ITER-like antenna for JET first results of the advanced matching control algorithms." Fusion Engineering and Design 123 (November 2017): 253–58. http://dx.doi.org/10.1016/j.fusengdes.2017.05.113.

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Novella, Ricardo, Benjamín Pla, Pau Bares, and Alexandra Aramburu. "Identification of Adequate Combustion in Turbulent Jet Ignition Engines using Machine Learning Algorithms." IFAC-PapersOnLine 54, no. 10 (2021): 102–7. http://dx.doi.org/10.1016/j.ifacol.2021.10.148.

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Abramowicz, H., I. Abt, L. Adamczyk, et al. "Inclusive-jet cross sections in NC DIS at HERA and a comparison of the kT, anti-kT and SIScone jet algorithms." Physics Letters B 691, no. 3 (2010): 127–37. http://dx.doi.org/10.1016/j.physletb.2010.06.015.

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Halynskyi, V. P. "Calculation of the interaction of a supersonic jet with a flat obstacle inclined off the jet axis." Technical mechanics 2020, no. 4 (2020): 72–81. http://dx.doi.org/10.15407/itm2020.04.072.

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This paper presents results of a numerical solution of the model problem of the interaction of a plane supersonic jet with a semiinfinite flat plate inclinable off the jet axis. The paper is devoted to the study of the flow parameters in the jet flow field and the pressure distribution over the plate surface as a function of the plate inclination. The aim of the paper is to obtain the flow parameters in the jet flow field and the pressure distribution over the plate surface as a function of the plate inclination angle and front edge position. To obtain numerical results, marching algorithms in the inviscid gas and viscous layer approximation were used. At specified values of the supersonic underexpanded/overexpanded jet parameters, calculations were conducted in the plate inclination angle range of 0 to 20?. The position of the plate front edge was specified by two coordinates: a longitudinal and a transversal one, and in the parametric calculations the transversal coordinate was varied at a fixed longitudinal one. The cross-section at which the nonuniform jet field starts to interact with the plate was determined as a function of both the plate front edge position and the plate inclination. The numerical study showed the following: with increasing plate inclination angle, the oscillation frequencies of the flow parameters in the jet flow field and on the plate surface decrease, while their oscillation amplitudes increase, and the position of the maximum pressure point on the plate surface depends on the initial position of the plate front edge and may not coincide with the cross-section at which the jet–plate interaction starts. The results obtained may be used in qualitative estimation of the effect of different parameters in the jet flow field.

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Suzuki, Takao. "Reduced-order Kalman-filtered hybrid simulation combining particle tracking velocimetry and direct numerical simulation." Journal of Fluid Mechanics 709 (August 20, 2012): 249–88. http://dx.doi.org/10.1017/jfm.2012.334.

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AbstractThe capability of state-of-the-art techniques integrating experimental and computational fluid dynamics has been expanding recently. In our previous study, we have developed a hybrid unsteady-flow simulation technique combining particle tracking velocimetry (PTV) and direct numerical simulation (DNS) and demonstrated its capability at low Reynolds numbers. Similar approaches have also been proposed by a few groups; however, applying algorithms of this type generally becomes more challenging with increasing Reynolds number because the time interval of the frame rate for particle image velocimetry (PIV) becomes much greater than the required computational time step, and the PIV/PTV resolution tends to be lower than that necessary for computational fluid dynamics. To extend the applicability to noisy time-resolved PIV/PTV data, the proposed algorithm optimizes the data input temporally and spatially by introducing a reduced-order Kalman filter. This study establishes a framework of the Kalman-filtered hybrid simulation and proves the concept by tackling a planar-jet flow at $\mathit{Re}\approx 2000$ as an example. We evaluate the filtering functions as well as convergence of the proposed algorithm by comparing with the existing PTV–DNS hybrid simulation, and show some techniques available to hybrid velocity fields by analysing vortical motion in the shear layers of the jet.

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Epikhin, Andrey, Matvey Kraposhin, and Kirill Vatutin. "The numerical simulation of compressible jet at low Reynolds number using OpenFOAM." E3S Web of Conferences 128 (2019): 10008. http://dx.doi.org/10.1051/e3sconf/201912810008.

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The paper presents an analysis of various approaches for calculation gas-dynamic parameters and acoustic perturbations generated by a compressible jet at low Reynolds number (M = 0.9, Re = 3600). The jet flow parameters at selected conditions are well studied and can be used for validation of the numerical methods and schemes. The OpenFOAM software package with various approaches (solvers) such as pimpleCentralFoam, dbnsTurbFoam and new QGDFoam solver based on QGD-algorithms are considered. The results of time-averaged flow parameters and acoustic properties are compared with the experimental data. To determine the acoustic perturbation the Ffowcs Williams and Hawkings analogy implemented in our OpenFOAM library (libAcoustic) has been used.

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