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40 results

1. Recovering local structure information from high‐pressure total scattering experiments

Author: Craig L. Bull, Nicholas P. Funnell, A. Herlihy, G.C. Sosso, Harry S. Geddes, Andrew L. Goodwin, Senn, and Christopher J. Ridley
Subjects: Materials science, total scattering, Neutron diffraction, Phase (waves), 02 engineering and technology, 010402 general chemistry, 01 natural sciences, General Biochemistry, Genetics and Molecular Biology, Matrix decomposition, Condensed Matter::Materials Science, neutron diffraction, Simple (abstract algebra), Neutron, QD, Nuclear Experiment, QC, Scattering, Pair distribution function, 021001 nanoscience & nanotechnology, Research Papers, 0104 chemical sciences, Computational physics, high pressure, Distribution function, pair distribution function, 0210 nano-technology
Abstract: A method for subtracting the pairwise correlations of a pressure-transmitting medium from neutron pair distribution functions obtained under hydrostatic compression is presented and applied to Ni, MgO and α-quartz., High pressure is a powerful thermodynamic tool for exploring the structure and the phase behaviour of the crystalline state, and is now widely used in conventional crystallographic measurements. High-pressure local structure measurements using neutron diffraction have, thus far, been limited by the presence of a strongly scattering, perdeuterated, pressure-transmitting medium (PTM), the signal from which contaminates the resulting pair distribution functions (PDFs). Here, a method is reported for subtracting the pairwise correlations of the commonly used 4:1 methanol:ethanol PTM from neutron PDFs obtained under hydrostatic compression. The method applies a molecular-dynamics-informed empirical correction and a non-negative matrix factorization algorithm to recover the PDF of the pure sample. Proof of principle is demonstrated, producing corrected high-pressure PDFs of simple crystalline materials, Ni and MgO, and benchmarking these against simulated data from the average structure. Finally, the first local structure determination of α-quartz under hydrostatic pressure is presented, extracting compression behaviour of the real-space structure.
Published: 2021

2. Asymptotic Results of Some Conditional Nonparametric Functional Parameters in High-Dimensional Associated Data.

Author: Daoudi, Hamza, Elmezouar, Zouaoui Chikr, and Alshahrani, Fatimah
Subjects: DISTRIBUTION (Probability theory), ASYMPTOTIC normality, HAZARD function (Statistics), KERNEL functions, HILBERT space, HIGH-dimensional model representation
Abstract: In this paper, we propose to study the asymptotic properties of some conditional functional parameters, such as the distribution function, the density, and the hazard function, for an explanatory variable with values in a Hilbert space (infinite dimension) and a response variable real in a quasi-associated dependency framework. We consider the non parametric estimation of the conditional distribution function by the kernel method in the presence of the quasi-associated dependence, and we establish under general hypotheses the almost complete convergence with speed of the estimator built in the associated case. The estimation of the conditional hazard function will be conducted by utilizing the two outcomes of the conditional distribution function and the conditional density. We establish the asymptotic normality of the kernel estimator as the conditional risk function of a properly normalized functional. We explicitly give the asymptotic variance. Simulation studies were conducted to investigate the behavior of the asymptotic property in the context of finite sample data. All the statistical analyses were performed using R software. [ABSTRACT FROM AUTHOR]
Published: 2023
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3. Effect of Slurry Concentration on the Ceramic Ball Grinding Characteristics of Magnetite.

Author: Yuan, Chengfang, Wu, Caibin, Fang, Xin, Liao, Ningning, Tong, Jiaqi, and Yu, Chao
Subjects: MAGNETITE, SLURRY, CERAMICS, CERAMIC materials, DISTRIBUTION (Probability theory), CARBON offsetting
Abstract: Ceramic grinding, which in this paper is defined as a method of using ceramic materials as grinding media, is favored by many processing plants as an emerging high-efficiency and energy-saving grinding method. This paper investigates the effect of slurry mass concentration on the grinding characteristics of magnetite by taking the feed of the secondary ball mill for processing magnetite as the research object. The study results show that the slurry mass concentration significantly affects the ceramic ball grinding characteristics of magnetite, especially for coarse particles. When the grinding concentration is higher than 50%, the breakage rate of magnetite plummets to 1/3 of the value at low mass concentrations. The standard deviation of the breakage rate relative to the concentration gradually decreases as the feed size falls, indicating that the coarser the feed size, the more sensitive the ceramic ball grinding is to the concentration, and thus industrial secondary ceramic ball mills need to avoid grinding under high-quality concentrations. The change in the consistency parameter of distribution function and zero-order output characteristics signals a radical variation in the grinding characteristics of magnetite using the ceramic ball grinding method compared to conventional grinding. Because the ceramic ball grinding method can greatly reduce energy consumption while lowering the chance of overgrinding, this grinding method deserves more attention as the world works to reach carbon neutrality and emissions peak. [ABSTRACT FROM AUTHOR]
Published: 2022
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4. Theorem on the Structure of the Fractionally Linear Functional Extremal Function.

Author: Kashtanov, Victor, Bochkov, Alexander, and Zaitseva, Olga
Subjects: DISTRIBUTION (Probability theory), EXTREMAL problems (Mathematics), STOCHASTIC models
Abstract: The paper proves a theorem about the structure of the distribution function on which the extremum of the fractionally linear functional is reached in the presence of an uncountable number of linear constraints. The problem of finding an extremal distribution function arises when determining the optimal control strategy in a class of Markov homogeneous randomized control strategies. The structure of extremal functions is described by a finite number of parameters; hence, the problem is greatly simplified since it is reduced to the search for an extremum of some function. [ABSTRACT FROM AUTHOR]
Published: 2023
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5. A generalized soft likelihood function in combining multi-source belief distribution functions.

Author: Zhang, Pengdan, Zhu, Ruonan, Chen, Jiaqi, and Kang, Bingyi
Subjects: DISTRIBUTION (Probability theory), INFERENTIAL statistics, SOFT sets, PROBLEM solving, PROBABILITY theory
Abstract: Likelihood function has significant advantages in the fields of statistical inference. Based on this theory, Yager proposed a soft likelihood function to make it more widely used. However, Yager's method can only deal with probabilities expressed by crisp values, and has strict restrictions on the form of data. Due to human subjectivity and lack of effective information, it is inevitable that data uncertainty will be involved. In order to deal with the uncertain data more flexibly and intuitively and solve the complex problems faced in real-world applications, a generalized soft likelihood function in combining multi-source belief distribution functions is proposed in this paper. Different from other existing methods, this paper uses a distribution function to represent uncertain information, which can retain more original information and improve the credibility of the results. The expectation and variance are used to rank the obtained evidences, and the evidence that contributes more to the results is ranked higher. Finally, the reliable likelihood results are obtained. The proposed method extends the method of Yager and can work well in more uncertain environment. Several numerical examples and comparative experimental simulation are used to illustrate the efficiency of the proposed soft likelihood function. [ABSTRACT FROM AUTHOR]
Published: 2022
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6. Estimation of distribution function using L ranked set sampling and robust extreme ranked set sampling with application to reliability.

Author: Abdallah, Mohamed S., Al-Omari, Amer I., Alotaibi, Naif, Alomani, Ghadah A., and Al-Moisheer, A. S.
Subjects: DISTRIBUTION (Probability theory), MONTE Carlo method, MAXIMUM likelihood statistics, RELIABILITY in engineering, CUMULATIVE distribution function
Abstract: This paper suggests new estimators for cumulative distribution function (CDF) using L ranked set sampling (LRSS) and robust extreme ranked set sampling (RERSS) methods. The proposed estimators are deduced based on maximum likelihood estimation method and its asymptotic properties are theoretically investigated. Comparison study has been made to demonstrate the efficiency of the proposed estimators. It is found that when the data contain outliers, the proposed estimators are less sensitive and have a satisfied behavior compared to their analog in ranked set sampling as the population CDF is far away from the boundaries. Motivated by this efficiency gain, we provided new estimators for system reliability R = P (Y > X) using LRSS and RERSS. Through a Monte Carlo simulation study, the performance of the introduced reliability estimators is also examined. A real data set is analyzed to illustrate the applicability of the proposed various estimators. [ABSTRACT FROM AUTHOR]
Published: 2022
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7. Performance Analysis of Multi-Cell Association in Downlink MU-MIMO System with Arbitrary Beamforming.

Author: Moinuddin, Muhammad, Hassan, Ahmad Kamal, and Al-Saggaf, Ubaid M.
Subjects: RAYLEIGH fading channels, CO-channel interference, TRANSMITTERS (Communication), BEAMFORMING, WHITE noise, BROADCAST channels, DISTRIBUTION (Probability theory)
Abstract: This article deals with the analysis of the multi-cell association setup, and it exploits the possibility of enhancing coverage in the envisioned sixth generation (6G) large-scale cellular networks. Specifically, we propose a simple, effective approach for finding a closed-form solution to the coverage probability of a given user in a multi-cell association regime of downlink multiple-user multiple-input multiple-output (MU-MIMO) systems. In particular, a Rayleigh fading channel is considered, wherein the transmitter has only the knowledge of the second-order statistics of the channel. The proposed work uses an indefinite quadratic formulation method and thereby investigates the effect of cell association in a correlated downlink broadcast channel with co-channel interference, additive white noise, and multiple transceiver antenna elements. In the results, we show that a predefined signal-to-interference-plus-noise ratio (SINR) threshold dictates an effective multi-cell association setup, and we identify the region in which a multi-cell association performs better that a single association-based network. The derived theoretical expressions in this paper are validated by the same means of simulation. [ABSTRACT FROM AUTHOR]
Published: 2022
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8. AdaBoost model-based rural governance co-integration and sharing mechanism

Author: Zhang Yonghua
Subjects: adaboost model, rural governance, distribution function, logistic distribution function, weighted summation, 68t05, Mathematics, QA1-939
Abstract: In this paper, we first study the implementation process of the AdaBoost model, initialize the weight distribution of training samples so that each sample weight is equal, then generate weak classifiers and calculate the minimum weighted error rate corresponding to each weak classifier, and then linearly combine the basic classifiers into strong classifiers by using weighted summation. Then the basic classifier weighting parameter calculation formula is improved by combining the characteristics of the logistics distribution function. Finally, the algorithm is used to analyze the rural governance willingness of river country residents, as well as to analyze the rural governance needs of rural residents at three levels: living conditions, public health and service facilities, to identify the types of rural governance, and to explore the rural governance patterns of different types of farm households. At the level of living conditions, farmers who wish to improve cooking fuel in 54 households, heating conditions in 61 households, bathing conditions in 40 households and family toilets in 53 households account for 43%, 49%, 32% and 42%, respectively. A total of 80 farming households, accounting for 29.41% of the research farming households, were optimized and upgraded, including 66 households in the key development area and 14 households in the production and living security area, accounting for 82.5% and 17.5% of the optimized and upgraded type, respectively. The research method of this paper has important references and reference significance for the construction of rural governance.
Published: 2024
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9. Computational Challenges of t and Related Copulas.

Author: HINTZ, ERIK, HOFERT, MARIUS, and LEMIEUX, CHRISTIANE
Subjects: DISTRIBUTION (Probability theory), DENSITY
Abstract: The present paper addresses computational and numerical challenges when working with t copulas and their more complicated extensions, the grouped t and skew t copulas. We demonstrate how the R package nvmix can be used to work with these copulas. In particular, we discuss (quasi-)random sampling and fitting. We highlight the difficulties arising from using more complicated models, such as the lack of availability of a joint density function or the lack of an analytical form of the marginal quantile functions, and give possible solutions along with future research ideas. [ABSTRACT FROM AUTHOR]
Published: 2022
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10. Wind Power Potential Assessment at Different Locations in Lebanon: Best–Fit Probability Distribution Model and Techno-Economic Feasibility

Author: Youssef Kassem, Huseyin Gokcekus, and Ahmed Mohamed Salah Essayah
Subjects: Lebanon, distribution function, wind energy potential, grid-connected, RETScreen, Engineering (General). Civil engineering (General), TA1-2040, Technology (General), T1-995, Information technology, T58.5-58.64
Abstract: The objective of the current paper is to evaluate Lebanon's wind energy generation potential as an alternative solution to the electricity supply to households and to enhance sustainable technological development. Firstly, the paper aims to investigate the appropriateness of 44 distribution function models for the evaluation of wind speed characteristics and compared them with popular models at 12 locations in Lebanon for the first time. The results showed that Wakeby and Beta distribution functions gave the best fit to the actual data for most locations. Secondly, the techno-economic and environmental feasibility assessment for 10MW grid-connected wind farms was developed based on variations in financial parameters using RETScreen Experts software. The findings demonstrate that the proposed power plant is both technically and financially feasible. It was found that Ain ed Dabaa is the most viable location for the installation of a wind farm.
Published: 2023
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11. CALCULATING THE PRICE OF COMMERCIAL REAL ESTATE IN THE CZECH REPUBLIC.

Author: BRŮHA, KAREL, SLOUP, VOJTĚCH, and LORENCOVÁ, IVA
Subjects: COMMERCIAL real estate, PRICES, REAL estate agents, REAL property sales & prices, METROPOLIS
Abstract: Property prices have surged recently, mainly due to limited real estate supply amid high demand supported by a large monetary base. This has driven up rental prices, especially in major cities compared to their peripheries. This manuscript examines rental prices in Prague, Brno, Ostrava, Pilsen, and České Budějovice from March to October 2023. It uses distribution functions, correlation coefficients, contour heat maps, and parameterized regression to define a probability price interval for office properties, identify a positive correlation between area and rental prices, and develop an algorithm for setting appropriate rental prices. The findings are useful for practitioners, real estate agents, and government institutions, though they are closely linked to macroeconomic variables. Future potential options are discussed. [ABSTRACT FROM AUTHOR]
Published: 2024
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12. Effect of Slurry Concentration on the Ceramic Ball Grinding Characteristics of Magnetite

Author: Chengfang Yuan, Caibin Wu, Xin Fang, Ningning Liao, Jiaqi Tong, and Chao Yu
Subjects: magnetite, breakage rate, distribution function, slurry concentration, Mineralogy, QE351-399.2
Abstract: Ceramic grinding, which in this paper is defined as a method of using ceramic materials as grinding media, is favored by many processing plants as an emerging high-efficiency and energy-saving grinding method. This paper investigates the effect of slurry mass concentration on the grinding characteristics of magnetite by taking the feed of the secondary ball mill for processing magnetite as the research object. The study results show that the slurry mass concentration significantly affects the ceramic ball grinding characteristics of magnetite, especially for coarse particles. When the grinding concentration is higher than 50%, the breakage rate of magnetite plummets to 1/3 of the value at low mass concentrations. The standard deviation of the breakage rate relative to the concentration gradually decreases as the feed size falls, indicating that the coarser the feed size, the more sensitive the ceramic ball grinding is to the concentration, and thus industrial secondary ceramic ball mills need to avoid grinding under high-quality concentrations. The change in the consistency parameter of distribution function and zero-order output characteristics signals a radical variation in the grinding characteristics of magnetite using the ceramic ball grinding method compared to conventional grinding. Because the ceramic ball grinding method can greatly reduce energy consumption while lowering the chance of overgrinding, this grinding method deserves more attention as the world works to reach carbon neutrality and emissions peak.
Published: 2022
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13. FPFH Revisited: Histogram Resolutions, Improved Features, and Novel Representation

Author: Janos Mark Szalai-Gindl and Daniel Varga
Subjects: 3D point cloud, feature descriptor, distribution function, curve fitting, normal orientation, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract: 3D local descriptors are essential for many computer vision-related tasks: point cloud registration, object recognition, etc. The first descriptors appeared decades ago, but new methods are still emerging today. To solve the above mentioned problems efficiently, we need robust and distinctive descriptors that are invariant to translation, rotation and normal orientation. In this paper, we revisit and analyze the well-known hand-crafted Fast Point Feature Histogram (FPFH) and the three geometric features underlying the FPFH. Modifications to the geometric features are proposed to increase the descriptiveness and improve robustness against inconsistent normal orientation. Thus, normal orientation methods with high computational complexity can be omitted and the performance of the descriptor is nearly doubled. We also propose a novel approach to representing descriptors: using cumulative distribution functions (CDF) instead of histograms. We mathematically analyze the point-pair features and their CDFs, focusing on a special case where two planes intersect. We use this knowledge to approximate functions on real point cloud data sets in the general case. CDFs can be represented by fitted parameters. By storing these parameters, which can be understood as a form of compression, the storage requirements can be reduced while maintaining the descriptiveness.
Published: 2024
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14. Boundedness of the Hilbert Transform on Rearrangement Invariant Spaces.

Author: CASTILLO, RENÉ ERLIN and CHAPARRO, HÉCTOR CAMILO
Subjects: HILBERT transform, DISTRIBUTION (Probability theory)
Abstract: Copyright of Revista Integración is the property of Universidad Industrial de Santander and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Published: 2024
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15. Sharp unifying generalizations of Opial's inequality.

Author: Klaassen, Chris A. J.
Subjects: DIFFERENCE equations, GENERALIZATION, DIFFERENTIAL equations, DISTRIBUTION (Probability theory)
Abstract: Opial's inequality and its ramifications play an important role in the theory of differential and difference equations. A sharp unifying generalization of Opial's inequality is presented that contains both its continuous and discrete versions. This generalization, based on distribution functions, is extended to the case of derivatives of arbitrary order. This extension optimizes and improves the constant given in the literature. The special case of derivatives of second order is studied in more detail. Two closely related Opial inequalities with a weight function are presented as well. The associated Wirtinger inequality is studied briefly. [ABSTRACT FROM AUTHOR]
Published: 2023
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16. Estimation of the moments of a quantized random variable

Author: Mikhail I. Lomakin and Alexander V. Dokukin
Subjects: random variable, sample, quantum, probability, moments, distribution function, Optics. Light, QC350-467, Electronic computers. Computer science, QA75.5-76.95
Abstract: A significant part of the research on the problems of quantization of random variables is devoted to practical aspects of optimal quantization in the sense of filling in information. For these purposes, certain quantitative characteristics of quantized random variables are used, such as: mathematical expectation, variance and mean square deviation. At the same time, to determine the quantitative characteristics of quantized random variables, as a rule, well-known parametric distributions are used: uniform, exponential, normal and others. In real situations, it is not possible to identify the initial parametric distribution based on the available statistical information. In this paper, a nonparametric model is proposed for determining such numerical characteristics of a quantized random variable as the highest initial moments. The mathematical formalization of the problem of estimating the higher initial moments of a quantized random variable in the conditions of incomplete data represented by small samples of a quantized random variable is performed in the form of an optimization model of a certain integral of a piecewise continuous function satisfying certain conditions. The final estimates of the highest initial moments of the quantized random variable are found as extreme (lower and upper) estimates of a certain integral on a set of distribution functions with given moments equal to the sample moments of the quantized random variable. A model of the higher initial moments of a quantized random variable is presented in the form of a definite integral of a piecewise continuous function; in the general case, the problem of finding extreme (lower and upper) estimates of the higher initial moments of a quantized random variable on a set of distribution functions with given moments is solved. Examples of finding higher initial moments and optimal quantization of a random variable are given. The obtained results can be used by specialists in evaluating and optimizing the quantization of various information presented by random signals.
Published: 2023
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17. Knowable Moments in Stochastics: Knowing Their Advantages.

Author: Koutsoyiannis, Demetris
Subjects: RANDOM variables, DISTRIBUTION (Probability theory), TIME series analysis, ESTIMATION bias, PROBABILITY density function, ORDER statistics
Abstract: Knowable moments, abbreviated as K-moments, are redefined as expectations of maxima or minima of a number of stochastic variables that are a sample of the variable of interest. The new definition enables applicability of the concept to any type of variable, continuous or discrete, and generalization for transformations thereof. While K-moments share some characteristics with classical and other moments, as well as with order statistics, they also have some unique features, which make them useful in relevant applications. These include the fact that they are knowable, i.e., reliably estimated from a sample for high orders. Moreover, unlike other moment types, K-moment values can be assigned values of distribution function by making optimal use of the entire dataset. In addition, K-moments offer the unique advantage of considering the estimation bias when the data are not an independent sample but a time series from a process with dependence. Both for samples and time series, the K-moment concept offers a strategy of model fitting, including its visualization, that is not shared with other methods. This enables utilization of the highest possible moment orders, which are particularly useful in modelling extremes that are closely associated with high-order moments. [ABSTRACT FROM AUTHOR]
Published: 2023
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18. The Effects of Viscosity and Capillarity on Nonequilibrium Distribution of Gas Bubbles in Swelling Liquid–Gas Solution.

Author: Shchekin, Alexander K., Kuchma, Anatoly E., and Aksenova, Elena V.
Subjects: VISCOSITY, THERMAL conductivity, FOOD industry, COLLOIDS, RHEOLOGY
Abstract: A detailed statistical description of the evolution of supersaturated-by-gas solution at degassing has been presented on the basis of finding the time-dependent distribution in radii of overcritical gas bubbles. The influence of solution viscosity and capillarity via internal pressure in the bubbles on this distribution has been considered until the moment when the gas supersaturation drops due to depletion and stops nucleation of new overcritical gas bubbles. This study is based on our previous results for the nonstationary growth rates of overcritical bubbles depending on gas supersaturation, diffusivity and solubility in solution, solution viscosity, and surface tension on bubble surface. Other important factors are linked with the initial rate of homogeneous gas bubble nucleation and coupling between diffusivity and viscosity in the solution. Here, we numerically studied how all these factors affect the time-dependent distribution function of overcritical bubbles in their radii, maximal and mean bubble radii, and the time-dependent swelling ratio of a supersaturated-by-gas solution in a wide range of solution viscosities. [ABSTRACT FROM AUTHOR]
Published: 2023
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19. A Note on Fibonacci Sequences of Random Variables

Author: Ismihan Bayramoğlu
Subjects: random variable, distribution function, probability density function, sequence of random variables, Statistics, HA1-4737
Abstract: The aim of this paper is to introduce and investigate the newrandom sequence in the form{X0, X1, Xn = Xn−2 +Xn−1, n = 2, 3, ..˙} , referred to as Fibonacci Sequence of Random Variables (FSRV). The initial random variables X0 and X1 are assumed to be absolutely continuous with joint probability density function (pdf) fX0,X1 . The FSRV is completely determined by X0 and X1 and the members of Fibonacci sequence F ≡ {0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, ...}. We examine the distributional and limit properties of the random sequence Xn, n = 0, 1, 2, ... .
Published: 2022
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20. Determining the most appropriate probability distribution function for meteorological drought indices in Urmia Lake Basin, Iran.

Author: Jahangir, Mohammad Hossein, Azimi, Seyed Mohammad Ehsan, and Arast, Mina
Subjects: DISTRIBUTION (Probability theory), DROUGHT management, WATERSHEDS, DROUGHTS, PEARSON correlation (Statistics), FATIGUE life, COMPUTATIONAL mathematics
Abstract: Normalization is believed to be one of the most important parts of numerical computation in discrete mathematics. This process aims to transform a wide numerical range into a narrower one. Hence, in a number of fields of study, numerous distribution functions (DF) have been extended based on their applications, one of which is drought calculation. In this research, annual drought was calculated via standard precipitation index (SPI) and China Z Index (CZI) through seven three-parametric DFs (Pearson 5, Weibull, Pearson 3 (gamma), log Pearson, Fréchet, log-logistic, and fatigue life) in order to determine the most appropriate one for each index in Urmia Lake Basin. To this end, the results of both SPI and CZI, with DFs and without them, were compared with statistical analyzers (RMSE, ME, R2, and pearson correlation). The results indicated that Weibull-CZI and Pearson 5-SPI had the highest correlation with the normal ones. Therefore, they could be used as the best DFs for these drought indices in this basin. Moreover, among the studied years, Gelazchay and Daryanchay stations experienced the most severe drought in 2008 and 1999 based on the CZI and SPI, respectively. It should be noted that in another section of the current study, the correlation between the two indices was analyzed and the results showed high correlations between them. [ABSTRACT FROM AUTHOR]
Published: 2023
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21. Asymptotic Results of Some Conditional Nonparametric Functional Parameters in High-Dimensional Associated Data

Author: Hamza Daoudi, Zouaoui Chikr Elmezouar, and Fatimah Alshahrani
Subjects: distribution function, asymptotic property, conditional risk function, weak dependence, functional data, Mathematics, QA1-939
Abstract: In this paper, we propose to study the asymptotic properties of some conditional functional parameters, such as the distribution function, the density, and the hazard function, for an explanatory variable with values in a Hilbert space (infinite dimension) and a response variable real in a quasi-associated dependency framework. We consider the non parametric estimation of the conditional distribution function by the kernel method in the presence of the quasi-associated dependence, and we establish under general hypotheses the almost complete convergence with speed of the estimator built in the associated case. The estimation of the conditional hazard function will be conducted by utilizing the two outcomes of the conditional distribution function and the conditional density. We establish the asymptotic normality of the kernel estimator as the conditional risk function of a properly normalized functional. We explicitly give the asymptotic variance. Simulation studies were conducted to investigate the behavior of the asymptotic property in the context of finite sample data. All the statistical analyses were performed using R software.
Published: 2023
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22. Replacing Histogram with Smooth Empirical Probability Density Function Estimated by K-Moments.

Author: Koutsoyiannis, Demetris
Subjects: RANDOM variables, YIELD strength (Engineering), HISTOGRAMS, PROBABILITY theory
Abstract: Whilst several methods exist to provide sample estimates of the probability distribution function at several points, for the probability density of continuous stochastic variables, only a gross representation through the histogram is typically used. It is shown that the newly introduced concept of knowable moments (K-moments) can provide smooth empirical representations of the distribution function, which in turn can yield point and interval estimates of the density function at a large number of points or even at any arbitrary point within the range of the available observations. The proposed framework is simple to apply and is illustrated with several applications for a variety of distribution functions. [ABSTRACT FROM AUTHOR]
Published: 2022
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23. A Multigraph-Defined Distribution Function in a Simulation Model of a Communication Network.

Author: Miletic, Slobodan, Pokrajac, Ivan, Pena-Pena, Karelia, Arce, Gonzalo R., and Mladenovic, Vladimir
Subjects: DISTRIBUTION (Probability theory), TELECOMMUNICATION systems, COMMUNICATION models, MATHEMATICAL models, COMPUTER networks
Abstract: We presented a method based on multigraphs to mathematically define a distribution function in time for the generation of data exchange in a special-purpose communication network. This is needed for the modeling and design of communication networks (CNs) consisting of integrated telecommunications and computer networks (ITCN). Simulation models require a precise definition of network traffic communication. An additional problem for describing the network traffic in simulation models is the mathematical model of data distribution, according to which the generation and exchange of certain types and quantities of data are realized. The application of multigraphs enabled the time and quantity of the data distribution to be displayed as operational procedures for a special-purpose communication unit. A multigraph was formed for each data-exchange time and allowed its associated adjacency matrix to be defined. Using the matrix estimation method allowed the mathematical definition of the distribution function values. The application of the described method for the use of multigraphs enabled a more accurate mathematical description of real traffic in communication networks. [ABSTRACT FROM AUTHOR]
Published: 2022
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24. The Analysis of WJ Distribution as an Extended Gaussian Function: Case Study.

Author: Ge, Shurong and Wu, Junhua
Subjects: EXTREME value theory, GAUSSIAN distribution, GAUSSIAN function, DISTRIBUTION (Probability theory), GAUSSIAN processes, TOPICAL drug administration, ARBITRARY constants
Abstract: The double exponential WJ distribution has been shown to competently describe extreme events and critical phenomena, while the Gaussian function has celebrated rich applications in many other fields. Here we present the analysis that the WJ distribution may be properly treated as an extended Gaussian function. Based on the Taylor expansion, we propose three methods to formulate the WJ distribution in the form of Gaussian functions, with Method I and Method III being accurate and self-consistent, and elaborate the relationship among the parameters of the functions. Moreover, we derive the parameter scaling formula of the WJ distribution to express a general Gaussian function, with the work illustrated by a classical case of extreme events and critical phenomena and application to topical medical image processing to prove the effectiveness of the WJ distribution rather than the Gaussian function. Our results sturdily advocate that the WJ distribution can elegantly represent a Gaussian function of arbitrary parameters, whereas the latter usually is not able to satisfactorily describe the former except for specific parameter sets. Thus, it is conclusive that the WJ distribution offers applicability in extreme events and critical phenomena as well as processes describable by the Gaussian function, namely, implying plausibly a unifying approach to the pertinent data processing of those quite distinct areas and establishing a link between relevant extreme value theories and Gaussian processes. [ABSTRACT FROM AUTHOR]
Published: 2022
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25. Theorem on the Structure of the Fractionally Linear Functional Extremal Function

Author: Victor Kashtanov, Alexander Bochkov, and Olga Zaitseva
Subjects: distribution function, extremum, fractionally linear functional, stochastic models, controllable semi-Markov process, Mathematics, QA1-939
Abstract: The paper proves a theorem about the structure of the distribution function on which the extremum of the fractionally linear functional is reached in the presence of an uncountable number of linear constraints. The problem of finding an extremal distribution function arises when determining the optimal control strategy in a class of Markov homogeneous randomized control strategies. The structure of extremal functions is described by a finite number of parameters; hence, the problem is greatly simplified since it is reduced to the search for an extremum of some function.
Published: 2023
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26. Indices relation and statistical probability analysis of physical and mechanical performance of asphalt mixtures

Author: Rui Guo, Fei zhou, and Tengfei Nian
Subjects: Road engineering, Asphalt mixture, Physical and mechanical indices, Statistical probability analysis, Distribution function, Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract: Rutting deformation is one of the most prominent diseases in asphalt pavement’s early damage. In this paper, it analyzes the relation and their distribution law between Marshall stability and the physical and mechanical indices of asphalt mixtures based upon a correlation analysis and statistical principles, which is to find the reasonable range of rutting performance design parameters of asphalt pavement. The results showed that the asphalt mixture’s stability increased with the increase in bulk volume relative density and asphalt saturation, but decreased with the increase in the percent of air-voids and the voids in the mineral aggregate. The optimal fitting function of bulk volume relative density and asphalt saturation for AC-13 asphalt mixture follows a Weibull distribution, that of Marshall stability and air-voids follows a Gamma distribution, and that of percent voids in the mineral aggregate and flow value follows a Lognormal distribution. For a GAM-16 asphalt mixture, the optimal fitting function of bulk volume relative density and Marshall stability follows the Weibull distribution, the optimal fitting function of air-voids follows a Gamma distribution, that of flow value and percent voids in the mineral aggregate follows a Lognormal distribution, and asphalt saturation follows a Normal distribution. It is recommended that AC-13 asphalt mixtures’bulk volume relative density ranges from 2.27～2.38 g·cm3, the air-voids ranges from 3.4～6.0%, and GAM-16 asphalt mixtures’bulk volume relative density ranges from 2.29～2.37 g·cm3, the voids in mineral aggregate ranges from 17～18.17%, the asphalt saturation ranges from 75～82.13%, which can provide a reference for in-depth understanding of the deformation characteristics and construction of highways’ pavement in similar areas.
Published: 2022
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27. Mathematical Modeling of Changes in the Dispersed Composition of Solid Phase Particles in Technological Apparatuses of Periodic and Continuous Action.

Author: Flisyuk, Oleg M., Martsulevich, Nicolay A., Meshalkin, Valery P., and Garabadzhiu, Alexandr V.
Subjects: GRANULATION, DISTRIBUTION (Probability theory), MATHEMATICAL models, CHEMICAL processes, MASS transfer, CONTINUOUS processing
Abstract: This article presents a methodological approach to modeling the processes of changing the dispersed composition of solid phase particles, such as granulation, crystallization, pyrolysis, and others. Granulation is considered as a complex process consisting of simpler (elementary) processes such as continuous particle growth, agglomeration, crushing and abrasion. All these elementary processes, which are also complex in themselves, usually participate in the formation of the dispersed composition of particles and proceed simultaneously with the predominance of one process or another, depending on the method of its organization and the physicochemical properties of substances. A quantitative description of the evolution of the dispersed composition of the solid phase in technological processes in which the particle size does not remain constant is proposed. Considering the stochastic nature of elementary mass transfer events in individual particles, the methods of the theory of probability are applied. The analysis of the change in the dispersed composition is based on the balanced equation of the particle mass distribution function. The equation accounts for all possible physical mechanisms that effect changes in particle size during chemical and technological processes. Examples of solutions to this equation for specific processes of practical importance are provided. The obtained analytical solutions are of independent interest and are in good agreement with the experimental data, which indicates the adequacy of the proposed approach. These solutions can also be used to analyze similar processes. The effectiveness has been confirmed during the analysis and calculation of the processes of granulation of various solutions and disposal of oil-containing waste to obtain a granular mineral additive. [ABSTRACT FROM AUTHOR]
Published: 2022
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28. Estimating the Conditional Density in Scalar-On-Function Regression Structure: k -N-N Local Linear Approach.

Author: Almanjahie, Ibrahim M., Kaid, Zoulikha, Laksaci, Ali, and Rachdi, Mustapha
Subjects: K-nearest neighbor classification, DENSITY, DISTRIBUTION (Probability theory), NEAREST neighbor analysis (Statistics)
Abstract: In this study, the problem of conditional density estimation of a scalar response variable, given a functional covariable, is considered. A new estimator is proposed by combining the k-nearest neighbors (k-N-N) procedure with the local linear approach. Then, the uniform consistency in the number of neighbors (UNN) of the proposed estimator is established. Such result is useful in the study of some data-driven rules. As a direct application and consequence of the conditional density estimation, we derive the UNN consistency of the conditional mode function estimator. Finally, to highlight the efficiency and superiority of the obtained results, we applied our new estimator to real data and compare it to its existing competitive estimator. [ABSTRACT FROM AUTHOR]
Published: 2022
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29. Characterization of Uncertainties in Smart City Planning: A Case Study of the Smart Metering Deployment.

Author: Perić, Kristina, Šimić, Zdenko, and Jurić, Željko
Subjects: SMART cities, URBAN planning, SMART meters, URBAN growth, COST effectiveness, OPERATING costs
Abstract: Making cities smart represents a major potential for sustainable development, where both the quality of life and the economy improve. Implementing new and efficient solutions in a smart city involves a large spectrum of uncertainties related to the size and project complexity. Characterization and assessment of the variables uncertainty in planning methodology seem necessary to reach the best decision about the best approach to achieve favorable realization outcomes for planned projects. By including uncertainties in the planning, assessment makes it possible to calculate result uncertainties for all expectations, and project cost-effectiveness. In this way, planning can be improved, if the most important parameters of result uncertainties are identified, better defined, and controlled. This study describes a parameter uncertainty characterization methodology applied on the cost-benefit analysis of smart city development with a case study, focused on smart metering infrastructure. Parameter uncertainty characterization is performed based on its variable nature (epistemic and aleatory), time-dependency, and the available information. Cost-benefit analysis results are given as both point value and as uncertainties. Uncertainty is considered for 25 variables of investment and operating costs, and benefits estimation. The presented methodology in smart city planning provides a way to better identify the critical parameters for achieving the defined objectives. [ABSTRACT FROM AUTHOR]
Published: 2022
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30. Distributions of earth pressure and soil resistance on full buried single-row anti-sliding piles in loess slopes in northern Shaanxi based on in-situ model testing.

Author: Li, Zhe, Zhu, Zhenguo, Liu, Lulu, and Sun, Lei
Abstract: Anti-sliding piles play a key role in slope stabilization. This study explored the distributions of earth pressure and soil resistance acting on full buried single-row anti-sliding piles installed in loess slopes. Two groups of in-situ model tests were carried out at a loess slope in northern Shaanxi, China, to observe the load transmission process between the loess and piles. Numerical simulations were used for auxiliary analysis. The in situ testing showed that the model piles failed by fracture damage. The distribution curve of earth pressure was parabolic, while that of soil resistance was shaped like an inverted trapezoid. The simulations showed similar distributions, illustrating that earth pressures have similar distributions under various embedded conditions and are related to the slip bed material and embedded depth, and soil resistance. Combining the results of the in situ tests and simulations, the axes of symmetry were predominately located at 1/3 of the load-bearing segment. The resultant force of earth pressure was located within the range of 9/16 to 3/5 of the load-bearing segment, while that of soil resistance was located at 3/10 to 2/5. These results demonstrate the distributions of earth pressure and soil resistance acting on full buried single-row anti-sliding piles installed in loess slopes that have a potential sliding surface. The results of this study will aid in anti-sliding pile design. [ABSTRACT FROM AUTHOR]
Published: 2022
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31. Debye shielding of an electron in various plasma distributions

Author: Lee, Sunggeun and Lim, Hankwon
Published: 2022
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32. Performance Analysis of Multi-Cell Association in Downlink MU-MIMO System with Arbitrary Beamforming

Author: Muhammad Moinuddin, Ahmad Kamal Hassan, and Ubaid M. Al-Saggaf
Subjects: beamformer design, cell association, distribution function, outage probability, signal statistics, Mathematics, QA1-939
Abstract: This article deals with the analysis of the multi-cell association setup, and it exploits the possibility of enhancing coverage in the envisioned sixth generation (6G) large-scale cellular networks. Specifically, we propose a simple, effective approach for finding a closed-form solution to the coverage probability of a given user in a multi-cell association regime of downlink multiple-user multiple-input multiple-output (MU-MIMO) systems. In particular, a Rayleigh fading channel is considered, wherein the transmitter has only the knowledge of the second-order statistics of the channel. The proposed work uses an indefinite quadratic formulation method and thereby investigates the effect of cell association in a correlated downlink broadcast channel with co-channel interference, additive white noise, and multiple transceiver antenna elements. In the results, we show that a predefined signal-to-interference-plus-noise ratio (SINR) threshold dictates an effective multi-cell association setup, and we identify the region in which a multi-cell association performs better that a single association-based network. The derived theoretical expressions in this paper are validated by the same means of simulation.
Published: 2022
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33. Collisionless kinetic regimes for quasi-stationary axisymmetric accretion disc plasmas

Author: Claudio Cremaschini and Massimo Tessarotto
Subjects: Physics, High Energy Astrophysical Phenomena (astro-ph.HE), Statistical Mechanics (cond-mat.stat-mech), Vlasov equation, FOS: Physical sciences, Plasma, Mechanics, Condensed Matter Physics, Potential energy, Accretion (astrophysics), Physics - Plasma Physics, Magnetic field, Plasma Physics (physics.plasm-ph), Distribution function, Classical mechanics, Physics::Plasma Physics, Physics::Space Physics, Astrophysical plasma, Magnetohydrodynamics, Astrophysics - High Energy Astrophysical Phenomena, Condensed Matter - Statistical Mechanics
Abstract: This paper is concerned with the kinetic treatment of quasi-stationary axisymmetric collisionless accretion disc plasmas. The conditions of validity of the kinetic description for non-relativistic magnetized and gravitationally-bound plasmas of this type are discussed. A classification of the possible collisionless plasma regimes which can arise in these systems is proposed, which can apply to accretion discs around both stellar-mass compact objects and galactic-center black holes. Two different classifications are determined, which are referred to respectively as energy-based and magnetic field-based classifications. Different regimes are pointed out for each plasma species, depending both on the relative magnitudes of kinetic and potential energies and the magnitude of the magnetic field. It is shown that in all cases, there can be quasi-stationary Maxwellian-like solutions of the Vlasov equation. The perturbative approach outlined here permits unique analytical determination of the functional form for the distribution function consistent, in each kinetic regime, with the explicit inclusion of finite Larmor radius-diamagnetic and/or energy-correction effects., 13 pages
Published: 2023

34. Enhanced estimation of population distribution function in the presence of non-response

Author: G. N. Singh and M. Usman
Subjects: Estimation, Work (thermodynamics), education.field_of_study, Mean squared error, 020209 energy, 020208 electrical & electronic engineering, Population, General Engineering, Estimator, 02 engineering and technology, Type (model theory), Engineering (General). Civil engineering (General), Distribution function, Empirical research, 0202 electrical engineering, electronic engineering, information engineering, Applied mathematics, 62D05, TA1-2040, education, Mathematics
Abstract: This paper addresses the problem of estimation of the population distribution function in the presence of non response which may be useful for data analysis in socio-economic surveys. We have proposed some enhanced difference and ratio type estimators using the information on two auxiliary variables in two well defined situations of non response. We derive the expressions of bias and mean square error of the proposed estimators to the first order approximation. In the empirical study it has been shown that the proposed estimators perform better than other estimators which are constructed using one auxiliary variable. A simulation study is also carried out in support of this work.
Published: 2021

35. First hitting time of Brownian motion on simple graph with skew semiaxes

Author: Junyi Zhang and Angelos Dassios
Subjects: Statistics and Probability, Distribution function, Simple graph, Laplace transform, Stochastic process, General Mathematics, Mathematical analysis, Process (computing), Skew, Hitting time, HA Statistics, Brownian motion, Mathematics
Abstract: Consider a stochastic process that lives on n-semiaxes emanating from a common origin. On each semiaxis it behaves as a Brownian motion and at the origin it chooses a semiaxis randomly. In this paper we study the first hitting time of the process. We derive the Laplace transform of the first hitting time, and provide the explicit expressions for its density and distribution functions. Numerical examples are presented to illustrate the application of our results.
Published: 2022

36. Determination of the parton distribution functions of the proton using diverse ATLAS data from pp collisions at vs = 7, 8 and 13 TeV

Author: Aad, Georges, Abbott, Braden Keim, Abbott, Dale, Abed Abud, Adam, Abeling, Kira, Abhayasinghe, Deshan Kavishka, Abidi, Haider, Aboulhorma, Asmaa, Abramowicz, Halina, Abreu, Henso, Abulaiti, Yiming, Hoffman, A.C. Abusleme, Acharya, Bobby Samir, Achkar, Baida, Adam, Lennart, Adam Bourdarios, Claire, Adamczyk, Leszek, Adamek, Lukas, Addepalli, Sagar, Adelman, Jahred, Adiguzel, Aytul, Adorni Braccesi Chiassi, Sofia, Adye, Tim, Affolder, A.A., Affolder, Tony, Afik, Yoav, Agapopoulou, Christina, Agaras, Merve Nazlim, Agarwala, Jinky, Aggarwal, Anamika, Agheorghiesei, Catalin, Aguilar Saavedra, Juan Antonio, Ahmad, Ammara, Ahmadov, Faig, Ahmed, Waleed Syed, Ai, Xiaocong, Aielli, Giulio, Aizenberg, Iakov, Akbiyik, Melike, Akesson, Torsten, Akimov, Andrei, Al Khoury, Konie, Alberghi, Gian Luigi, Albert, Justin, Albicocco, Pietro, Verzini, M.J. Alconada, Alderweireldt, Sara, Aleksa, Martin, Aleksandrov, I.N., Alexa, Calin, Alexopoulos, Theodoros, Alfonsi, Alice, Alfonsi, Fabrizio, Alhroob, Muhammad, Ali, Babar, Ali, Shahzad, Aliev, Malik, Alimonti, Gianluca, Allaire, Corentin, Allbrooke, Benedict, Allport, Philip Patrick, Aloisio, Alberto, Alonso, Francisco, Alpigiani, Cristiano, Alunno Camelia, Elio, Alvarez Estevez, Manuel, Alviggi, Mariagrazia, Do Amaral Coutinho, Yara, Ambler, Alessandro, Ambroz, Luca, Amelung, Christoph, Amidei, Dante, Amor dos Santos, Susana Patricia, Amoroso, Simone, Amos, Kieran Robert, Amrouche, Cherifa Sabrina, Ananiev, Viktor, Anastopoulos, Christos, Andari, Nansi, Andeen, Timothy Robert, Anders, John Kenneth, Andrean, Stefio Yosse, Andreazza, Attilio, Angelidakis, Stylianos, Angerami, Aaron, Anisenkov, Alexey, Annovi, Alberto, Antel, Claire, Anthony, Matthew Thomas, Antipov, Egor, Antonelli, Mario, Antrim, Daniel Joseph, Anulli, Fabio, Aoki, Masato, Aparisi Pozo, Javier Alberto, Aparo, Marco, Aperio Bella, Ludovica, Aranzabal Barrio, Nordin, Araujo Ferraz, Victor, Arcangeletti, Chiara, Arce, Ayana Tamu, Arena, Eloisa, Arguin, Jean-Francois, Argyropoulos, Spyros, Arling, Jan-Hendrik, Armbruster, Aaron James, Armstrong, Alexander, Arnaez, Olivier, Arnold, Hannah, Arrubarrena Tame, Zulit Paola, Artoni, Giacomo, Asada, Haruka, Asai, Kanae, Asai, Shoji, Asbah, Nedaa Alexandra, Asimakopoulou, Eleni Myrto, Asquith, Lily, Assahsah, Jihad, Assamagan, Ketevi Adikle, Astalos, Robert, Atkin, Ryan Justin, Atkinson, Markus Julian, Atlay, Naim Bora, Atmani, Hicham, Atmasiddha, Prachi, Augsten, Kamil, Auricchio, Silvia, Austrup, Volker Andreas, Avner, Gal, Avolio, Giuseppe, Ayoub, Mohamad Kassem, Azuelos, Georges, Babal, Dominik, Bachacou, Henri, Bachas, Konstantinos, Bachiu, Alexander, Backman, Karl Filip, Badea, Anthony, Bagnaia, Paolo, Bahmani, Marzieh, Bailey, Adam, Bailey, Virginia, Baines, John, Bakalis, Christos, Baker, Keith, Bakker, Pepijn Johannes, Bakos, Evelin, Bakshi Gupta, Debottam, Balaji, Shyam, Balasubramanian, Rahul, Baldin, Evgenii, Balek, Petr, Ballabene, Eric, Balli, Fabrice, Baltes, Lisa Marie, Balunas, William Keaton, Balz, Johannes, Banas, Elzbieta, Bandieramonte, Marilena, Bandyopadhyay, Anjishnu, Bansal, Shubham, Barak, Liron, Barberio, Elisabetta, Barberis, Dario, Barbero, Marlon Benoit, Barbour, Gregory, Barends, Kevin Nicholas, Barillari, Teresa, Barisits, Martin, Barkeloo, Jason Tyler Colt, Barklow, Tim, Barnett, Michael, Baron, Petr, Baroncelli, A., Baroncelli, Toni, Barone, Gaetano, Barr, Alan, Barranco Navarro, Laura, Barreiro Alonso, Fernando, Barreiro Guimaraes da Costa, Joao, Barron, Uriel, Barsov, Sergey, Bartels, Falk, Bartoldus, Rainer, Bartolini, Giovanni, Barton, Adam Edward, Bartos, Pavol, Basalaev, Artem, Basan, Alexander, Baselga Bacardit, Marta, Bashta, Inna, Bassalat, Ahmed, Basso, Matthew Joseph, Basson, Candice Ruth, Bates, Richard, Batlamous, Souad, Batley, Richard, Batool, Binish, Battaglia, Marco, Bauce, Matteo, Bauer, Florian, Bauer, Patrick, Bayirli, Arif, Beacham, James, Beau, Tristan, Beauchemin, Pierre-Hugues, Becherer, Fabian, Bechtle, Philip, Beck, Hans Peter, Becker, Kathrin, Becot, Cyril Pascal, Beddall, Andrew, Bednyakov, Vadim, Bee, Chris, Beemster, Lars, Beermann, Thomas, Begalli, Marcia, Begel, Michael, Behera, Arabinda, Behr, Janna Katharina, Beirao da Cruz E Silva, Cristovao, Beirer, Joshua Falco, Beisiegel, Florian, Belfkir, Mohamed, Bella, Gideon, Bellagamba, Lorenzo, Bellerive, Alain, Bellos, Panagiotis, Beloborodov, Konstantin, Belotskiy, Konstantin, Belyaev, Nikita, Benchekroun, Driss, Benhammou, Yan, Benjamin, Doug, Benoit, Mathieu, Bensinger, J.R., Bentvelsen, Stan, Beresford, Lydia Audrey, Beretta, Matteo Mario, Berge, David, Bergeaas Kuutmann, Elin, Berger, Nicolas, Bergmann, Benedikt Ludwig, Bergsten, Laura Jean, Beringer, Juerg, Berlendis, Simon, Bernardi, Gregorio, Bernius, Catrin, Bernlochner, Florian Urs, Berry, Tracey, Berta, Peter, Bertram, Iain, Bessidskaia Bylund, Olga, Bethke, Siegfried, Betti, Alessandra, Bevan, Adrian, Bhatta, Somadutta, Bhattacharya, Deb Sankar, Bhattarai, Prajita, Bhopatkar, Vallary Shashikant, Bi, Runyu, Bi, Ran, Bianchi, Riccardo Maria, Biebel, Otmar, Bielski, Rafal, Biesuz, Nicolo Vladi, Biglietti, Michela, Billoud, T.R. V., Bindi, Marcello, Bingul, Ahmet, Bini, Cesare, Biondi, Silvia, Biondini, Alessandro, Birch-Sykes, Callum Jacob, Bird, Gareth Adam, Birman, Mattias, Bisanz, Tobias, Biswal, Jyoti Prakash, Biswas, Diptaparna, Bitadze, Alexander, Bjoerke, Kristian, Bloch, Ingo, Blocker, Craig, Blue, Andrew James, Blumenschein, Ulla, Blumenthal, Julian, Bobbink, Gerjan, Bobrovnikov, Viktor, Boehler, Michael, Bogavac, Danijela, Bogdanchikov, Alexander, Bohm, Christian, Boisvert, Veronique, Bokan, Petar, Bold, Tomasz, Bomben, Marco, Bona, Marcella, Boonekamp, Maarten, Booth, Callum Dale, Borbely, Albert Gyorgy, Borecka-Bielska, Hanna Maria, Borgna, Lucas Santiago, Borissov, Guennadi, Bortoletto, Daniela, Boscherini, Davide, Fernandez-Bosman, Martine, Sola, J.D. Bossio, Bouaouda, Khalil, Boudreau, Joseph, Bouhova-Thacker, E.V., Boumediene, Djamel Eddine, Bouquet, Romain, Boveia, Antonio, Boyd, Jamie, Boye, Diallo, Boyko, Igor, Bracinik, Juraj, Brahimi, Nihal, Brandt, Gerhard Immanuel, Brandt, Oleg, Braren, Frued Erik, Brau, Benjamin Paul, Brau, J.E., Breaden Madden, Will, Brendlinger, Kurt, Schimmel Brener, Roy, Brenner, Lydia, Brenner, Richard, Bressler, Shikma, Brickwedde, Bernard, Britton, David, Britzger, Daniel Andreas, Brock, Ian, Brooijmans, Gustaaf, Brooks, William King, Brost, Elizabeth, Bruckman de Renstrom, Pawel, Bruers, Ben, Bruncko, Dusan, Bruni, Alessia, Bruni, Graziano, Bruschi, Marco, Bruscino, Nello, Bryngemark, Lene Kristian, Buanes, Trygve, Buat, Quentin, Buchholz, Peter, Buckley, Andy, Budagov, Ioulian, Bugge, Magnar Kopangen, Bulekov, Oleg, Bullard, Brendon, Burdin, Sergey, Burgard, Carsten, Burger, Angela Maria, Burghgrave, Blake Oliver, Burr, J.T. P., Burton, Charles, Burzynski, Jackson Carl, Busch, Elena Laura, Buescher, Volker, Bussey, Peter John, Butler, John Mark, Buttar, Craig Macleod, Butterworth, Jonathan, Buttinger, Will, Buxo Vazquez, Carlos Josue, Buzykaev, Alexey, Cabras, Grazia, Cabrera Urban, Susana, Caforio, Davide, Cai, Huacheng, Cairo, Valentina, Cakir, Orhan, Calace, Noemi, Calafiura, Paolo, Calderini, Giovanni, Calfayan, Philippe, Callea, Giuseppe, Caloba, Luiz, Calvet, David, Calvet, Samuel, Calvet, Thomas Philippe, Calvetti, Milene, Camacho Toro, Reina Coromoto, Camarda, Stefano, Camarero Munoz, Daniel, Camarri, Paolo, Camerlingo, Maria Teresa, Cameron, David, Camincher, Clement, Campanelli, Mario, Camplani, Alessandra, Canale, Vincenzo, Canesse, Auriane, Bret Cano, Marc, Cantero Garcia, Josu, Cao, Yumeng, Capocasa, Francesca, Capua, Marcella, Carbone, Antonio, Cardarelli, Roberto, Cardenas, Juan Carlos, Cardillo, Fabio, Carducci, Giovandomenico, Carli, Tancredi, Carlino, Giampaolo, Carlson, B.T., Carlson, Evan Michael, Carminati, Leonardo, Carnesale, Maria, Caron, Sascha, Carquin Lopez, Edson, Carra, Sonia, Carratta, Giuseppe, Carter, J.W. S., Carter, Thomas Michael, Casadei, Diego, Casado Lechuga, Pilar, Casha, Albert Francis, Castiglia, Emma Grace, Castillo, Florencia Luciana, Castillo Garcia, Lucia, Castillo Gimenez, Victoria, Castro, Nuno, Catinaccio, Andrea, Catmore, James, Cavaliere, Viviana, Cavalli, Noemi, Cavasinni, Vincenzo, Celebi, Emre, Celli, Federico, Centonze, Martino Salomone, Cerny, Karel, Santiago Cerqueira, Augusto, Cerri, Alex, Cerrito, Lucio, Cerutti, Fabio, Cervelli, Alberto, Cetin, Serkant, Chadi, Zakaria, Chakraborty, Dhiman, Chala, Mikael, Chan, Jay, Chan, Terry Ws, Chan, W.S., Chan, Wai Yuen, Chapman, John Derek, Chargeishvili, Bakar, Charlton, Dave, Charman, Thomas Paul, Chatterjee, Meghranjana, Chekanov, Sergei, Chekulaev, Sergey, Chelkov, G.A., Chen, Andy, Chen, Boping, Chen, Charlie, Chen, Cheng, Chen, B., Chen, Huirun, Chen, Hucheng, Chen, Jing, Chen, Jiayi, Chen, Shion, Chen, Shenjian, Chen, Xiang, Chen, Xin, Chen, Ye, Chiu, Y.H., Chow, Y.S., Crosetti, G., Cunningham, W.R., Darbo, G., Kaya, F.I., Khubua, J., Koeck, D.M., Kowalewski, R., Kulchitsky, Y., Lecompte, T., Mac Donell, D.M., Malecki, Pa., Manousos, A., Mcdonald, E.F., Mckay, M.A., Murray, W.J., Panduro Vazquez, J.G., Petukhova, K., Pham, T., Poveda, J., Qin, Y., Ruan, X., Rühr, F., Schaffer, A.C., Cheng, Hok Chuen Tom, Cheplakov, Alexander, Cheremushkina, Evgeniya, Cherepanova, Elizaveta, Cherkaoui El Moursli, Rajaa, Cheu, Elliott, Cheung, Kingman, Chevalier, Laurent, Chiarella, Vitaliano, Chiarelli, Giorgio, Chiodini, Gabriele, Chisholm, Andrew Stephen, Chitan, Adrian, Chiu, Justin, Chizhov, Mihail, Choi, Kyungeon, Chomont, Arthur, Chou, Yuan-Tang, Chow, Edwin, Chowdhury, Tasnuva, Christopher, Lawrence Davou, Chu, Ming Chung, Chu, Xiaotong, Chudoba, Jiri, Chwastowski, Janusz, Cieri, Davide, Ciesla, Krzysztof, Cindro, Vladimir, Ciocio, Alessandra, Cirotto, Francesco, Citron, Z.H., Citterio, Mauro, Ciubotaru, Dan Andrei, Ciungu, Bianca Monica, Clark, Allan, Clark, Philip, Clavijo Columbie, Jose Manuel, Clawson, Savannah, Clement, Christophe, Clissa, Luca, Coadou, Yann, Cobal, Marina, Coccaro, Andrea, Barrue, R.F. Coelho, Coelho Lopes de Sa, Rafael, Coelli, Simone, Cohen, Hadar, Coimbra, A.E. C., Cole, Brian, Collot, Johann, Conde Muino, Patricia, Connell, Simon, Connelly, Ian Allan, Conroy, Eimear Isobel, Conventi, Francesco, Cooke, Harry, Cooper-Sarkar, A.M., Cormier, Felix, Corpe, Louie Dartmoor, Corradi, Massimo, Corrigan, Eric Edward, Corriveau, Francois, Costa Mezquita, Maria Jose, Costanza, Francesco, Costanzo, Davide, Cote, Benjamin Michael, Cowan, Glen, Cowley, James William, Cranmer, Kyle Stuart, Crepe-Renaudin, Sabine, Crescioli, Francesco, Cristinziani, Markus, Cristoforetti, Marco, Croft, Vincent Alexander, Crosetti, Nanni, Cueto Gomez, Ana Rosario, Cuhadar Donszelmann, Tulay, Cui, Han, Cui, Zhaoyuan, Cukierman, Aviv Ruben, Cunningham, Liam, Curcio, Francesco, Czodrowski, Patrick Karl, Czurylo, Marta, Sousa, M.J. da Cunha Sargedas De, da Fonseca Pinto, Joao Victor, da Via, Cinzia, Dabrowski, Wladyslaw, Dado, Tomas, Dahbi, Salah-Eddine, Dai, Tiesheng, Dallapiccola, Carlo, Dam, Mogens, d'Amen, Gabriele, d'Amico, Valerio, Damp, Johannes Frederic, Dandoy, Jeff, Daneri, Maria Florencia, Danninger, Matthias, Dao, Valerio, Darbo, Nanni, Darmora, Smita, Dattagupta, Aparajita, d'Auria, Saverio, David, Claire, Davidek, Tomas, Davis, Douglas Raymond, Davis-Purcell, Benjamin Richard, Dawson, Ian, De, Kaushik, de Asmundis, Riccardo, de Beurs, Marcus, de Castro, Stefano, de Groot, Nicolo, de Jong, Paul, de la Torre Perez, Hector, de Maria, Antonio, de Salvo, Alessandro, de Sanctis, Umberto, de Santis, Maurizio, de Santo, Antonella, de Vivie de Regie, Jean-Baptiste, Dedovich, Dmitri, Degens, Jordy, Deiana, Allison Mccarn, del Peso, Jose, del Rio, Fer, Deliot, Frederic, Delitzsch, Chris Malena, Della Pietra, Massimo, Della Volpe, Domenico, Dell'Acqua, Andrea, Dell'Asta, Lidia, Delmastro, Marco, Delsart, Pierre Antoine, Demers Konezny, Sarah Marie, Demichev, Mikhail, Denisov, Serguei, d'Eramo, Louis, Derendarz, Dominik Karol, Derue, Frederic, Dervan, Paul, Desch, Klaus, Dette, Karola, Deutsch, Christopher, Deviveiros, Pier-Olivier, Di Bello, Francesco Armando, Di Ciaccio, Anna, Di Ciaccio, Lucia, Di Domenico, Antonio, Di Donato, Camilla, Di Girolamo, Alessandro, Di Gregorio, Giulia, Di Luca, Andrea, Di Micco, Biagio, Di Nardo, Roberto, Diaconu, Cristinel, de Almeida Dias, Flavia, Vale, T.Dias Do, Diaz Gutierrez, Marco Aurelio, Diaz Capriles, Federico Guillermo, Didenko, Mariia, Diehl, Edward, Diez Cornell, Sergio, Diez Pardos, Carmen, Dimitriadi, Christina, Dimitrievska, Aleksandra, Ding, Wei, Dingfelder, Jochen Christian, Dinu, Ioan-Mihail, Dittmeier, Sebastian, Dittus, Fido, Djama, Fares, Djobava, Tamar, Djuvsland, Julia Isabell, Barros Do Vale, Aline, Dodsworth, David Michael, Doglioni, Caterina, Dolejsi, Jiri, Dolezal, Zdenek, Donadelli, Marisilvia, Dong, Binbin, Donini, Julien Noce, d'Onofrio, Adelina, d'Onofrio, Monica, Dopke, Jens, Doria, Alessandra, Dova, Maria Teresa, Doyle, Tony, Drechsler, Eric, Dreyer, Etienne, Drobac, Alec Swenson, Du, Dongshuo, Du Pree, Tristan Arnoldus, Dubinin, Filipp, Dubovsky, Michal, Duchovni, Ehud, Duckeck, Guenter, Ducu, Otilia Anamaria, Duda, Dominik, Dudarev, Alexey, d'Uffizi, Matteo, Duflot, Laurent, Duehrssen-Debling, Michael, Dulsen, Carsten, Dumitriu, Ana Elena, Dunford, Monica, Dungs, Sascha, Dunne, Katherine Elaine, Duperrin, Arnaud, Yildiz, H.Duran, Dueren, Michael Johannes, Durglishvili, Archil, Dutta, Baishali, Dwyer, Brianna, Dyckes, G.I., Dyndal, Mateusz, Dysch, Samuel Dezso, Dziedzic, Bartosz Sebastian, Eckerova, Barbora, Eggleston, Michael Glenn, Egidio Purcino de Souza, Edmar, Ehrke, Lukas, Eigen, Gerald, Einsweiler, Kevin Frank, Ekelof, Tord Johan Carl, El Ghazali, Yassine, El Jarrari, Hassnae, El Moussaouy, Ali, Ellajosyula, Venugopal, Ellert, Mattias, Ellinghaus, Frank, Elliot, Alison, Ellis, Nick, Elmsheuser, Johannes, Elsing, Markus, Emeliyanov, Dmitry, Emerman, Alex, Enari, Yuji, Ene, Irina, Erdmann, Johannes, Ereditato, Antonio, Erland, Paula Agnieszka, Errenst, Martin, Escalier, Marc, Escobar Ibanez, Carlos, Etzion, Erez, Gaspar de Andrade Evans, Guiomar, Evans, Hal, Evans, Meirin Oan, Ezhilov, Aleksei, Ezzarqtouni, Sanae, Fabbri, Federica, Fabbri, Laura, Facini, Gabriel, Fadeyev, Vitaliy, Fakhrutdinov, Rinat, Falciano, Speranza, Falke, Peter Johannes, Falke, Saskia, Faltova, Jana, Fan, Yunyun, Fang, Yaquan, Fanourakis, Georgios, Fanti, Marcello, Faraj, Mohammed, Farbin, Amir, Farilla, Ada, Farina, Edoardo Maria, Farooque, Trisha, Farrington, Sinead, Fassi, Farida, Fassouliotis, Dimitris, Faucci Giannelli, Michele, Fawcett, William James, Fayard, Louis, Fedin, Oleg, Fedotov, Gleb, Feickert, Matthew, Feligioni, Lorenzo, Fell, Alix, Fellers, Deion Elgin, Feng, Cunfeng, Feng, Minyu, Fenton, Michael James, Fenyuk, Alexandre, Ferguson, Sarah Whitney, Fernandez Pretel, Jose Antonio, Ferrando, James, Ferrari, Arnaud, Ferrari, Pamela, Ferrari, Roberto, Ferrere, Didier, Ferretti, Claudio, Fiedler, Frank, Filipcic, Andrej, Filthaut, Frank, Castro Nunes Fiolhais, Miguel, Fiorini, Luca, Fischer, Florian, Fisher, Wade Cameron, Fitschen, Tobias, Fleck, Ivor, Fleischmann, Philipp, Flick, Tobias, Flores, Lucas Macrorie, Flores, Marvin, Flores Castillo, Luis Roberto, Follega, Francesco Maria, Fomin, Nikolai, Foo, Joel Hengwei, Forland, Blake Christopher, Formica, Andrea, Forti, Alessandra, Fortin, Etienne Marie, Fortman, Anne Winifred, Foti, Maria Giovanna, Fountas, Leonidas, Fournier, Daniel, Fox, Harald, Francavilla, Paolo, Francescato, Simone, Franchini, Matteo, Franchino, Silvia, Francis, David, Franco, Luca, Franconi, Laura, Franklin, Melissa, Frattari, Guglielmo, Freegard, Arran Charles, Freeman, Patrick Moriishi, Spolidoro Freund, Werner, Freundlich, Elena Murielle, Froidevaux, Daniel, Frost, James, Fu, Yao, Fujimoto, Minori, Fullana Torregrosa, Esteban, Fuster Verdu, Juan, Gabrielli, Alessandro, Gabrielli, Andrea, Gadow, Philipp, Gagliardi, Guido, Gagnon, Louis-Guillaume, Gallardo, Gabriel, Gallas, Elizabeth, Gallop, Bruce Joseph, Gamboa Goni, Rodrigo, Gan, Kock Kiam, Ganguly, Sanmay, Gao, Jun, Gao, Yanyan, Garay Walls, Francisca, Garcia, Berenice, Garcia, Carmen, Garcia Navarro, Jose Enrique, Pascual, J.A. García, Garcia-Sciveres, Maurice, Gardner, Robert William, Garg, Diksha, Garg, Rocky Bala, Gargiulo, Simona, Garner, Christopher Andrew, Garonne, Vincent, Gasiorowski, Sean Joseph, Do Nascimento Gaspar, Philipp, Gaudio, Gabriella, Gauzzi, Paolo, Gavrilenko, Igor, Gavriliuk, Alexander, Gay, Colin Warren, Gaycken, Goetz, Gazis, Evangelos, Geanta, Andrei Alexandru, Gee, Carolyn, Geisen, Jannik, Geisen, Marc, Gemme, Claudia, Genest, Marie-Helene, Gentile, Simonetta, George, Simon, George, William Frederick, Geralis, Theodoros, Gerlach, Lino Oscar, Gessinger-Befurt, Paul, Ghasemi Bostanabad, Meisam, Ghosh, Aishik, Ghosh, Anindya, Giacobbe, Benedetto, Giagu, Stefano, Giangiacomi, Nico, Giannetti, Paola, Giannini, Antonio, Gibson, Stephen, Gignac, Matthew, Gil, Damian Tomasz, Gilbert, Benjamin Jacob, Gillberg, Dag, Gilles, Geoffrey, Gillwald, N.E. K., Ginabat, Louis, Gingrich, Doug, Giordani, Mapo, Giraud, Pierre-Francois, Giugliarelli, Gilberto, Giugni, Danilo, Giuli, Francesco, Gkialas, Ioannis, Gkountoumis, Panagiotis, Gladilin, Leonid, Glasman, Claudia, Gledhill, Galen Rhodes, Glisic, Marija, Gnesi, Ivan, Go, Yeonju, Goblirsch-Kolb, Maximilian Emanuel, Godin, Dominique, Goldfarb, Steven, Golling, Tobias, Golubkov, Dmitry, Gombas, Jason Peter, da Silva Gomes, Agostinho, Goncalves Gama, Rafael, Morais Silva Goncalo, Ricardo Jose, Gonella, Giulia, Gonella, Laura, Gongadze, Alexi, Gonnella, Francesco, Gonski, Julia Lynne, Gonzalez de la Hoz, Santiago, Gonzalez Fernandez, Sergio, Gonzalez Lopez, Ricardo, Gonzalez Renteria, Cesar, Gonzalez Suarez, Rebeca, Gonzalez Sevilla, Sergio, Gonzalvo Rodriguez, Galo Rafael, Andana, R.Y. González, Goossens, Luc, Gorasia, Nandish Arjan, Gorbounov, Petr, Gordon, Howard, Gorini, Benedetto, Gorini, Edoardo, Gorisek, Andrej, Goshaw, A.T., Gostkin, Mikhail, Gottardo, Carlo Alberto, Gouighri, Mohamed, Goumarre, Vincent, Goussiou, Anna, Govender, Nicolin, Goy, Corinne, Grabowska-Bold, Iwona, Graham, Kevin Robert, Gramstad, Eirik, Grancagnolo, Sergio, Grandi, Mario, Grachev, Vadim, Gravila, Paul, Gravili, Francesco Giuseppe, Gray, Heather, Grefe, Christian, Gregor, Ingrid, Grenier, Philippe, Grevtsov, Kirill, Grieco, Chiara, Grillo, Alex, Grimm, Kathryn, Grinstein, Sebastian, Grivaz, Jean-Francois, Groh, Sabrina, Gross, Eilam, Grosse-Knetter, Joern, Grud, Christopher Ryan, Grummer, Aidan, Grundy, James Cameron, Guan, Liang, Guan, Wen, Gubbels, Chris, Rojas, J.G. R.Guerrero, Guescini, Francesco, Guest, Dan, Gugel, Ralf, Guida, Alessandro, Guillemin, Thibault, Guindon, Stefan, Guo, Fangyi, Guo, Jun, Guo, Linghua, Guo, Yuxiang, Gupta, Ruchi, Gurbuz, Saime, Gustavino, Giuliano, Guth, Manuel, Gutierrez, Phillip, Gutierrez Zagazeta, Luis Felipe, Gutschow, Christian, Guyot, Claude, Gwenlan, Claire, Gwilliam, Carl, Haaland, Even Simonsen, Haas, Andrew, Habedank, Martin, Haber, Carl, Hadavand, Haleh, Hadef, Asma, Hadzic, Sejla, Haleem, Mahsana, Haley, Joseph, Hall, Jack Joseph, Hallewell, Gregory, Halser, Lea, Hamano, Kenji, Hamdaoui, Hassane, Hamer, Matthias, Hamity, Guillermo Nicolas, Han, Jingyi, Han, Kunlin, Han, Liangliang, Han, Liang, Han, Shuo, Han, Yi Fei, Hanagaki, Kazunori, Hance, Mike, Hangal, Dhanush Anil, Hank, Michael Donald, Hankache, Robert, Hansen, Eva Brottmann, Hansen, Jorgen Beck, Hansen, Dines, Hansen, Peter, Hara, Kazuhiko, Harada, Daigo, Harenberg, Torsten, Harkusha, Siarhei, Harris, Ynyr, Harrison, Paul Fraser, Hartman, Nicole Michelle, Hartmann, Nikolai, Hasegawa, Yoji, Hasib, Ahmed, Haug, Sigve, Hauser, Reiner, Havranek, Miroslav, Hawkes, Chris, Hawkings, Richard, Hayashida, Shota, Hayden, Daniel, Hayes, Christopher Robyn, Hayes, Robin, Hays, Chris, Hays, Jonathan, Hayward, Helen, He, Fudong, He, Yunjian, He, Yajun, Heath, Matthew Peter, Hedberg, Vincent, Heggelund, Andreas Lokken, Hehir, Natasha, Heidegger, Constantin, Heidegger, Kim Katrin, Heidorn, William Dale, Heilman, Jesse Alan, Heim, Sarah, Heim, Timon, Heinemann, Beate, Heinlein, James Geddy, Heinrich, Jochen Jens, Heinrich, Lukas Alexander, Hejbal, Jiri, Helary, Louis, Held, Alexander, Helling, Cole Michael, Hellman, Sten, Helsens, Clement, Henderson, R.C. W., Henkelmann, Lars, Henriques Correia, Ana Maria, Herde, Hannah Elizabeth, Hernandez Jimenez, Yesenia, Herr, Holger Arnold, Herrmann, Maximilian Georg, Herrmann, Tim, Herten, Gregor, Hertenberger, Ralf, Hervas, Luis, Hessey, Nigel, Hibi, Hiroaki, Higon-Rodriguez, Emilio, Hillier, Stephen, Hinchliffe, Ian, Hinterkeuser, Florian, Hirose, Minoru, Hirose, Shigeki, Hirschbuehl, Dominic, Hiti, Bojan, Hladik, Ondrej, Hobbs, John David, Hobincu, Radu, Tal Hod, Noam, Hodgkinson, Mark, Hodkinson, Benjamin Haslum, Hoecker, Andreas, Hofer, Judith, Hohn, David, Holm, Tanja, Holzbock, Michael, Hommels, L.B. A.H., Honan, Benjamin Paul, Hong, Jiangliu, Hong, Tae Min, Hong, Yanwen, Honig, Jan Cedric, Honle, Andreas, Hooberman, Benjamin Henry, Hopkins, Walter, Horii, Yasuyuki, Horyn, Lesya Anna, Hou, Suen, Howarth, James William, Hoya, Joaquin, Hrabovsky, Miroslav, Hrynevich, Aliaksei, Hrynova, Tetiana, Hsu, Pai-Hsien, Hsu, Shih-Chieh, Hu, Qipeng, Hu, Shuyang, Hu, Yifan, Huang, Danping, Huang, Xiaozhong, Huang, Yicong, Huang, Yanping, Hubacek, Zdenek, Hubner, Michael, Huegging, Fabian, Huffman, Todd Brian, Huhtinen, Mika, Huiberts, Simon Kristian, Hulsken, Raphael Alain, Huseynov, Nazim, Huston, Joey, Huth, John, Hyneman, Rachel Jordan, Hyrych, Sofiia, Iacobucci, Giuseppe, Iakovidis, George, Ibragimov, Iskander, Iconomidou-Fayard, Lydia, Iengo, Paolo, Iguchi, Ryunosuke, Iizawa, Tomoya, Ikegami, Yoichi, Ilg, Armin, Ilic, Nikolina, Imam, Hajar, Ingebretsen Carlson, Tom, Introzzi, Gianluca, Iodice, Mauro, Ippolito, Valerio, Ishino, Masaya, Islam, Wasikul, Issever, Cigdem, Istin, Serhat, Ito, Hiroki, Ponce, J.M. Iturbe, Iuppa, Roberto, Ivina, Anna, Izen, Joseph Michael, Izzo, Vincenzo, Jacka, Petr, Jackson, Paul, Jacobs, Ruth Magdalena, Jaeger, Benjamin Paul, Jagfeld, Christoph, Jakel, Gunnar, Jakobs, Karl, Jakoubek, Tomas, Jamieson, Jonathan, Janas, Krzysztof, Jarlskog, Goran, Jaspan, Adam Elliott, Javurek, Tomas, Javurkova, Martina, Jeanneau, Fabien, Jeanty, Laura, Jejelava, Juansher, Jenni, Peter, Jezequel, Stephane, Jia, Jiangyong, Jia, Zihang, Jiang, Yi, Jiggins, Stephen, Jimenez Pena, Javier, Jin, Shan, Jinaru, Adam, Jinnouchi, Osamu, Jivan, Harshna, Johansson, Per Daniel Conny, Johns, Kenneth, Johnson, Christian, Jones, Dominic, Jones, Eleanor, Jones, R.W. L., Jones, T.J., Jovicevic, Jelena, Ju, Xiangyang, Junggeburth, Johannes, Juste Rozas, Aurelio, Kabana, Sonia, Kaczmarska, Anna, Kado, Marumi, Kagan, Harris, Kagan, Michael Aaron, Kahn, Alan Mathew, Kahn, Abraham, Kahra, Christian, Kaji, Toshiaki, Kajomovitz Must, Enrique, Kakati, Nilotpal, Kalderon, Will, Kamenshchikov, Andrey, Kang, Nathan Jihoon, Kano, Yuya, Kar, Deepak, Karava, Kla, Kareem, Mohammad, Karentzos, Efstathios, Karkanias, Ioannis, Karpov, Sergey, Karpova, Zoya, Kartvelishvili, Vato, Karyukhin, Andrei, Kasimi, Eirini, Kato, Chikuma, Katzy, Judith, Kaur, Sandeep, Kawade, Kentaro, Kawagoe, Kiyotomo, Kawaguchi, Tomomi, Kawamoto, Tatsuo, Kawamura, Gen, Kay, Ellis, Kaya, Colette, Kazakos, Stergios, Kazanin, Vassili, Ke, Yan, Keaveney, James Michael, Keeler, Richard, Keller, John Stakely, Kelly, Aidan Sean, Kelsey, Daniel Christopher, Kempster, Jacob Julian, Kendrick, James Andrew, Kennedy, Kiley Elizabeth, Kepka, Oldrich, Kersten, Susanne, Kersevan, Borut Paul, Haghighat, S.Ketabchi, Khandoga, Mykola, Khanov, Alexander, Kharlamov, Alexey, Kharlamova, Tatyana, Khoda, Elham E., Khoo, Teng Jian, Khoriauli, Gia, Khramov, Evgeny, Khubua, Djemal, Kiehn, Moritz, Kilgallon, Aaron Joseph, Kim, Eunchong, Kim, Young-Kee, Kimura, Naoki, Kirchhoff, Andreas, Kirchmeier, David, Kirfel, Christian, Kirk, Julie, Kiryunin, Andrei, Kishimoto, Tomoe, Kisliuk, Dylan Perry, Kitsaki, Chara, Kivernyk, Oleh, Klassen, Martin, Klein, Christoph Thomas, Klein, Lucas, Klein, Matthew Henry, Klein, Max, Klein, Uta, Klimek, Pawel Jan, Klimentov, Alexei, Klimpel, Fabian, Klingl, Tobias, Klioutchnikova, Tatiana, Klitzner, Felix Fidelio, Kluit, Peter, Kluth, Stefan, Kneringer, Emmerich, Knight, Timothy Michael, Knue, Andrea Helen, Kobayashi, Dai, Kobayashi, Ren, Kocian, Martin, Kodama, Takafumi, Kodys, Peter, Kock, Daniela, Konig, Philipp, Koffas, Thomas, Koehler, Nicolas, Kolb, Mathis, Koletsou, Iro, Komarek, Tomas, Koeneke, Karsten, Kong, A.X. Y., Kono, Takanori, Konstantinides, Vasilis, Konstantinidis, Nikolaos, Konya, Balazs, Kopeliansky, Revital, Koperny, Stefan Zenon, Korcyl, Krzysztof Marian, Kordas, Kostas, Koren, Guy, Korn, Andreas, Korn, Steffen, Korolkov, Ilya, Korotkova, Natalia, Kortman, Bryan, Kortner, Oliver, Kortner, Sandra, Kostecka, Will, Kostecka, William Heribert, Kostyukhin, Vadim, Kotsokechagia, Anastasia, Kotwal, Ashutosh, Koulouris, Aimilianos, Kourkoumeli-Charalampidi, Athina, Kourkoumelis, Christine, Kourlitis, Evangelos, Kovanda, Ondrej, Kowalewski, Bob, Kozanecki, Witold, Kozhin, Anatoli, Kramarenko, Viktor, Kramberger, Gregor, Kramer, Peter, Krasny, Mieczyslaw Witold, Krasznahorkay, Attila, Kremer, Jakub, Kretzschmar, Jan, Kreul, Ken Matthias, Krieger, Peter, Krieter, Ferdinand, Krishnamurthy, Samyukta, Krishnan, Anjali, Krivos, Martin, Krizka, Karol, Kroeninger, Kevin Alexander, Kroha, Hubert, Kroll, Jiri, Kroll, Ira Joseph, Krowpman, Kyle Stuart, Kruchonak, Uladzimir, Krueger, Hans, Krumnack, Nils Erik, Kruse, Mark, Krzysiak, Janina Anna, Kubota, Arisa, Kuchinskaia, Olesia, Kuday, Sinan, Kuchler, Daniela, Kuechler, J.T., Kuehn, Susanne, Kuhl, Thorsten, Kukhtin, Victor, Koultchitski, Yuri, Kuleshov, Serguei, Kumar, Mukesh, Kumari, Neelam, Kuna, Marine, Kupco, Alexander, Kupfer, Tobias, Kuprash, Oleg, Kurashige, Hisaya, Kurchaninov, Leonid, Kurochkin, Yurii, Kurova, Anastasia, Kuwertz, Emma Sian, Kuze, Masahiro, Kvam, Audrey Katherine, Kvita, Jiri, Kwan, Tony, Kwok, King Wai, Lacasta Llacer, Carlos, Lacava, Francesco, Lacker, Heiko Markus, Lacour, Didier, Lad, Nisha Nareshbhai, Ladygin, Evgueni, Laforge, Bertrand, Lagouri, Theodota, Lai, Stan, Lakomiec, Inga Katarzyna, Lalloue, Nathan, Lambert, Joseph Earl, Lammers, Sabine Wedam, Lampl, Walter, Lampoudis, Christos, Lancon, Eric Christian, Landgraf, Ulrich, Landon, Murrough, Lang, Valerie, Lange, Joern, Langenberg, Robert Johannes, Lankford, Andrew James, Lanni, Francesco, Lantzsch, Kerstin, Lanza, Agostino, Lapertosa, Alessandro, Laporte, Jean-Francois, Lari, Tommaso, Lasagni Manghi, Federico, Lassnig, Mario, Latonova, Vera, Lau, Tak Shun, Laudrain, Antoine, Laurier, Alexandre, Lavorgna, Marco, Lawlor, Sean Dean, Lawrence, Zak, Lazzaroni, Massimo, Le, Brian, Leban, Blaz, Lebedev, Alexandre, Leblanc, Matt, Le Compte, Tom, Ledroit-Guillon, F., Lee, Ava Chloe Audrey, Lee, Graham Richard, Lee, Lawrence, Lee, Shih-Chang, Leeuw, Lerothodi Leonard, Lefebvre, Benoit, Lefebvre, Helena, Lefebvre, Michel, Leggett, Charles, Lehmann, Konstantin, Lehmann Miotto, Giovanna, Leight, William Axel, Leisos, Antonios, Lisboa Leite, Marco, Leitgeb, Clara Elisabeth, Leitner, Rupert, Leney, Katharine, Lenz, Tatjana, Leone, Sandra, Leonidopoulos, Christos, Leopold, Alexander, Leroy, Claude, Les, Robert, Lester, Christopher, Levchenko, Mikhail, Leveque, Jessica, Levin, Dan, Levinson, Lorne, Lewis, Daniel, Li, Boyang, Li, Bing, Li, Chihao, Li, Changqiao, Li, Heng, Li, Han, Li, Haifeng, Li, Jing, Li, Ke, Li, Liang, Li, Mengran, Li, Quanyin, Li, Shu, Li, Tong, Li, Xingguo, Li, Zhi, Li, Zhiying, Li, Zhelun, Li, Zhiyuan, Liang, Zhijun, Liberatore, Marianna, Liberti, Barbara, Lie, Ki, Lieber Marin, Juan, Lin, Kuan-Yu, Linck, Rebecca, Lindley, Rachel Elizabeth, Lindon, Jack, Linss, Arthur, Lipeles, Elliot, Lipniacka, Anna, Liss, Anthony Michael, Lister, Alison, Little, Jared, Liu, Bo, Liu, Bingxuan, Liu, Danning, Liu, Jianbei, Liu, J.K. K., Liu, Kun, Liu, Minghui, Liu, Mingyi, Liu, Peilian, Liu, Qibin, Liu, Xiaotian, Liu, Yi, Liu, Yang, Liu, Yanlin, Liu, Yanwen, Livan, Michele, Llorente Merino, Javier, Lloyd, Steve, Lobodzinska, Ewelina Maria, Loch, Peter, Loffredo, Salvatore, Lohse, Thomas, Lohwasser, Kristin, Lokajicek, Milos, Long, Jonathan, Longarini, Iacopo, Longo, Luigi, Longo, Riccardo, Lopez Paz, Ivan, Lopez Solis, Alvaro, Lorenz, Jeanette Miriam, Lorenzo Martinez, Narei, Lory, Alexander, Loesle, Alena, Lou, Xuanhong, Lou, Xinchou, Lounis, Abdenour, Love, Jeremy, Love, Peter, Lozano Bahilo, Julio, Lu, Gangcheng, Lu, Miaoran, Lu, Sicong, Lu, Yun-Ju, Lubatti, Henry, Luci, Claudio, Lucio Alves, Fabio Lucio, Lucotte, Arnaud, Luehring, Fred, Luise, Ilaria, Lundberg, Olof, Lund-Jensen, Bengt, Luongo, Nicholas, Lutz, Margaret Susan, Lynn, David, Lyons, Harry John, Lysak, Roman, Lytken, Else, Lyu, Feng, Lyubushkin, Vladimir, Lyubushkina, Tatiana, Ma, Hong, Ma, Lianliang, Ma, Yanhui, Macdonell, Danika Marina, Maccarrone, Giovanni, Macdonald, Jack, Madar, Romain, Mader, Wolfgang, Maeda, Junpei, Maeno, Tadashi, Maerker, Max, Magerl, Veronika, Magro, Jacopo, Mahon, Devin, Maidantchik, Carmen, Maio, Amelia, Maj, Klaudia, Majersky, Oliver, Majewski, Stephanie, Makovec, Nikola, Maksimovic, Veljko, Malaescu, Bogdan, Malecki, Pawel, Maleev, Victor, Malek, Fairouz, Malito, Davide, Mallik, Usha, Malone, Claire, Maltezos, Stavros, Malyukov, Sergey, Mamuzic, Judita, Mancini, Giada, Mandalia, Jesal, Mandic, Igor, Manhaes de Andrade Filho, Luciano, Maniatis, Ioannis Michail, Manisha, Manisha, Ramos, J.Manjarres, Mankad, Dvij, Mankinen, Katja Hannele, Mann, Alexander, Manousos, Thanos, Mansoulie, Bruno, Manzoni, Stefano, Marantis, Alexandros, Marchiori, Giovanni, Marcisovsky, Michal, Marcoccia, Lorenzo, Marcon, Caterina, Marinescu, Mihaela, Marjanovic, Marija, Marshall, Zach, Marti I Garcia, Salvador, Martin, T.A., Martin, Victoria, Martin Dit Latour, Bertrand, Martinelli, Luca, Martinez-Perez, Mario, Martinez Agullo, Pablo, Martinez Outschoorn, Verena Ingrid, Martinez Suarez, Paula, Martin-Haugh, Stewart, Martoiu, Sorin, Martyniuk, Alex Christopher, Marzin, Antoine, Maschek, Stefan Raimund, Masetti, Lucia, Mashimo, Tetsuro, Masik, Jiri, Maslennikov, Alexei, Massa, Lorenzo, Massarotti, Paolo, Mastrandrea, Paolo, Mastroberardino, Anna, Masubuchi, Tatsuya, Mathisen, Thomas, Matic, Andrea, Matsuzawa, Nobuo, Maurer, Julien, Macek, Bostjan, Maximov, Dmitriy, Mazini, Rachid, Maznas, Ioannis, Mazza, Simone Michele, Mc Ginn, Christopher, Mc Gowan, John Patrick, Mc Kee, Shawn, Mccarthy, Thomas, Mccormack, William Patrick, Mcdonald, Millie, Mcdougall, Ashley Ellen, Mcfayden, Josh, Mchedlidze, Gvantsa, Mc Kay, Maddie, Mckenzie, Ryan Peter, Mclaughlin, Donal Joseph, Mclean, Kayla, Mcmahon, Stephen, Mcnamara, Peter Charles, Mcpherson, R.A., Mdhluli, Joyful Elma, Meehan, Samuel Ross, Megy, Theo, Mehlhase, Sascha, Mehta, Andrew, Meirose, Bernhard, Melini, Davide, Mellado Garcia, Bruce, Melo, Andres Hugo, Meloni, Federico, Melzer, Alexander, Gouveia, E.D. Mendes, Mendes Jacques da Costa, Antonio Manuel, Meng, Huan Yu, Meng, Lingxin, Menke, Sven, Mentink, Matthias, Meoni, Evelin, Merlassino, Claudia, Merola, Leonardo, Meroni, Chiara, Merz, Garrett William, Meshkov, Oleg, Meshreki, John Kamal Rizk, Metcalfe, Jessica, Mete, Alaettin Serhan, Meyer, Christopher John, Meyer, Jean-Pierre, Michetti, Michele, Middleton, Robin, Mijovic, Liza, Mikenberg, George, Mikestikova, Marcela, Mikuz, Marko, Mildner, Hannes, Milic, Adriana, Milke, Chris, Miller, David, Miller, Laura Stephanie, Milov, Alexander, Milstead, David Anthony, Min, Tianjue, Minaenko, Andrei, Minashvili, Irakli, Mince, Laurynas, Mincer, Allen Irving, Mindur, Bartosz, Mineev, Mikhail, Minegishi, Yuji, Mino, Yuya, Mir Martinez, Lluisa Maria, Miralles Lopez, Marcos, Mironova, Maria, Mitani, Takashi, Mitra, Ankush, Mitsou, Vasiliki, Miu, Ovidiu, Miyagawa, Paul, Miyazaki, Yuta, Mizukami, Atsushi, Mjoernmark, Jan-Ulf, Mkrtchyan, Tigran, Mlynarikova, Michaela, Moa, Torbjorn, Mobius, Silke, Mochizuki, Kazuya, Moder, Paul, Mogg, Philipp, Mohammed, Abdualazem Fadol, Mohapatra, Soumya, Mokgatitswane, Gaogalalwe, Mondal, Buddhadeb, Mondal, Santu, Monig, Klaus, Monnier, Emmanuel, Monsonis Romero, Luis, Montejo Berlingen, Javier, Montella, Marco, Monticelli, Fernando, Morange, Nicolas, Carvalho, A.L. Moreira De, Moreno Llacer, Maria, Moreno Martinez, Carlos, Morettini, Paolo, Morgenstern, Stefanie, Mori, Daniel, Morii, Masahiro, Morinaga, Masahiro, Morisbak, Vanja, Morley, Anthony, Morris, Alice, Morvaj, Ljiljana, Moschovakos, Paris, Moser, Brian, Mosidze, Maia, Moskalets, Tetiana, Moskvitina, Polina, Moss, Joshua, Moyse, E.J. W., Muanza, Steve, Mueller, James Alfred, Mueller, Roman, Muenstermann, Daniel, Mullier, Geoffrey, Mullin, Joseph, Mungo, Davide Pietro, Munoz Martinez, Jose Luis, Munoz Sanchez, Francisca, Murin, Martin, Murray, Bill, Murrone, Alessia, Muse, Joseph M., Muskinja, Miha, Mwewa, Chilufya, Myagkov, Alexei, Myers, Andrew Joel, Myers, Ava Anne, Myers, Greg, Myska, Miroslav, Nachman, B.P., Nackenhorst, Olaf, Nag, Abhishek, Nagai, Koichi, Nagano, Kunihiro, Nagle, James Lawrence, Nagy, Elemer, Nairz, Armin, Higuchi, Yu Nakahama, Nakamura, Koji, Nanjo, Hajime, Napolitano, Fabrizio, Narayan, Rohin Thampilali, Narayanan, Easwar Anand, Naryshkin, Iurii, Naseri, Mohsen, Nass, Christian, Navarro, Gabriela Alejandra, Navarro Gonzalez, Josep, Nayak, Ranjit, Nechaeva, Polina, Nechansky, Filip, Neep, T.J., Negri, Andrea, Negrini, Matteo, Nellist, Clara, Nelson, Christina, Nelson, Kevin Michael, Nemecek, Stanislav, Nessi, Marzio, Neubauer, Mark, Neuhaus, Friedemann, Neundorf, Jonas, Newhouse, Robin, Newman, Paul Richard, Ng, Chi Wing, Ng, Sam Yanwing, Ng, Ying Wun Yvonne, Ngair, Badr-Eddine, Nguyen, Hoang Dai Nghia, Nickerson, Richard, Nikolaidou, Rosy, Nielsen, Daniel, Nielsen, Jason, Niemeyer, Marcel, Nikiforou, Nikiforos, Nikolaenko, Vladimir, Nikolic-Audit, I., Nikolopoulos, Konstantinos, Nilsson, Paul, Nindhito, Herjuno Rah, Nisati, Aleandro, Nishu, Nishu, Nisius, Richard, Noacco Rosende, Santiago, Nobe, Takuya, Noel, Daniel Louis, Noguchi, Yohei, Nomidis, Ioannis, Nomura, Marcelo Ayumu, Norfolk, Mitchell Bradley, Bin Norisam, Raif Rafideen, Novak, Jakob, Novak, Tadej, Novgorodova, Olga, Novotny, Lukas, Novotny, Radek, Nozka, Libor, Ntekas, Kostas, Nurse, Emily Laura, Oakham, Gerald, Ocariz, Jose Humberto, Ochi, Atsuhiko, Ochoa, Ines, Ochoa, Jean-Pierre, Oda, Susumu, Odaka, Shigeru, Ordek, Serhat, Ogrodnik, Agnieszka Ewa, Oh, Alexander, Ohm, Christian, Oide, Hideyuki, Oishi, Reiyo, Ojeda, Martina Laura, Okazaki, Yuta, O'Keefe, Michael William, Okumura, Yasuyuki, Olariu, Albert, Seabra, L.F. Oleiro, Olivares, Sebastian, Oliveira Damazio, Denis, Oliveira Goncalves, Dayane, Oliver, Jason, Olsson, Mats Joakim Robert, Olszewski, Andrzej, Olszowska, Jolanta, Oncel, Omer Ogul, O'Neil, Dugan, O'Neill, Aaron Paul, Onofre, Antonio, Onyisi, P.U. E., Oreamuno Madriz, Rafael Guillermo, Oreglia, Mark, Orellana, Gonzalo Enrique, Orestano, Domizia, Orlando, Nicola, Orr, Robert, O'Shea, Val, Ospanov, Rustem, Otero y Garzon, Gustavo, Otono, Hidetoshi, Ott, Philipp Sebastian, Ottino, Gregory James, Ouchrif, Mohamed, Ouellette, Jeff, Ould-Saada, Farid, Owen, Mark Andrew, Owen, Rhys, Oyulmaz, Kaan Yuksel, Ozcan, Erkcan, Ozturk, Nurcan, Ozturk, Sertac, Pacalt, Josef, Pacey, Holly, Pachal, Katherine, Pacheco Pages, Andreu, Padilla Aranda, Cristobal, Pagan Griso, Simone, Palacino, Gabriel, Palazzo, Serena, Palestini, Sandro, Palka, Marek, Pan, Jingjing, Panchal, D.K., Pandini, Carlo Enrico, Panduro Vazquez, William, Pani, Priscilla, Panizzo, Giancarlo, Paolozzi, Lorenzo, Papadatos, Constantine, Parajuli, Santosh, Paramonov, Alexander, Paraskevopoulos, Christos, Paredes Hernandez, Daniela Katherinne, Parida, Bibhuti, Park, Tae Hyoun, Parker, Adam Jackson, Parker, Andy, Parodi, Fabrizio, Parrish, Elliot, Parrish, Victoria Alexis, Parsons, John, Parzefall, Ulrich, Pascual Dias, Bruna, Pascual Dominguez, Luis, Pascuzzi, Vincent, Pasquali, Federica, Pasqualucci, Enrico, Passaggio, Stefano, Pastore, Francesca, Pasuwan, Patrawan, Pater, J.R., Pathak, Atanu, Patton, Joseph, Pauly, Thilo, Pearkes, Jannicke Andree, Pedersen, Maiken, Costa Batalha Pedro, Rute, Peleganchuk, Sergey, Penc, Ondrej, Peng, Chen, Peng, Haiping, Penzin, Maksim, Sotto-Maior Peralva, Bernardo, Pereira Peixoto, A.P., Pereira Sanchez, Laura, Perepelitsa, Dennis, Perez Codina, Estel, Perganti, Maria, Perini, Laura, Pernegger, Heinz, Perrella, Sabrina, Perrevoort, Ann-Kathrin, Peters, Krisztian, Peters, Reinhild, Petersen, Brian, Petersen, Troels, Petit, Elisabeth, Petousis, Vlasios, Petridou, Chariclia, Petrukhin, Alexey, Pettee, Mariel, Pettersson, Nora Emilia, Mihule, Kristina, Peyaud, Alan, Pezoa Rivera, Raquel, Pezzotti, Lorenzo, Pezzullo, Gianantonio, Pham, Joni, Phillips, Peter, Phipps, Michael William, Piacquadio, Giacinto, Pianori, Elisabetta, Piazza, Federica, Piegaia, Ricardo, Pietreanu, Dorel, Pilkington, Andrew, Pinamonti, Michele, Pinfold, James, Pitman Donaldson, Charlie Bruno, Pizzi, Dylan, Pizzimento, Luca, Pizzini, Alessio, Pleier, Marc-Andre, Plesanovs, Vladislavs, Pleskot, Vojtech, Plotnikova, Elena, Poddar, Gitanjali, Pottgen, Ruth, Poggi, Riccardo, Poggioli, Luc, Pogrebnyak, Ivan, Pohl, David-Leon, Pokharel, Ishan, Polacek, Stanislav, Polesello, Giacomo, Poley, Anne-Luise, Polifka, Richard, Polini, Alessandro, Pollard, Chris, Pollock, Zachary, Polychronakos, Venetios, Ponomarenko, Daniil, Pontecorvo, Ludovico, Popa, Stefan, Popeneciu, Gabriel, Portales, Louis, Portillo Quintero, Dilia Maria, Pospisil, Stanislav, Postolache, Petronel, Potamianos, Karolos, Potrap, Igor, Potter, Tina, Potti, Harish, Poulsen, Trine, Poveda Torres, Ximo, Pownall, Gavin, Pozo Astigarraga, Eukeni, Prades Ibanez, Alberto, Pralavorio, Pascal, Prapa, Maria Myrto, Price, Darren, Primavera, Margherita, Principe Martin, Miguel Angel, Proffitt, Mason, Proklova, Nadezhda, Prokofiev, Kirill, Prokoshin, Fedor, Proto, Giorgia, Protopopescu, Serban, Proudfoot, James, Przybycien, Mariusz, Pudzha, Dennis, Puzo, Patrick Michel, Pyatiizbyantseva, Diana, Qian, Jianming, Qin, Quake, Qiu, Tong, Quadt, Arnulf, Queitsch-Maitland, Michaela, Rabanal Bolanos, Gabriel, Rafanoharana, Dimbiniaina, Ragusa, Francesco, Raine, Johnny, Rajagopalan, Srini, Ran, Kunlin, Raskina, Valentina, Rassloff, Damir Fabrice, Rave, Stefan, Ravina, Baptiste, Ravinovich, Ilia, Raymond, Michel, Read, Alexander Lincoln, Readioff, Nathan Peter, Rebuzzi, Daniela, Redlinger, George, Reeves, Kendall, Reikher, David, Reiss, Andreas Dominik, Rej, Amartya, Rembser, Christoph, Renardi, Alessia, Renda, Michele, Rendel, Marian Benedikt, Rennie, Adam, Resconi, Silvia, Ressegotti, Martina, Resseguie, Elodie Deborah, Rettie, Sebastien, Reynolds, Bryan, Reynolds, Elliot, Rezaei Estabragh, Mohsen, Rezanova, Olga, Reznicek, Pavel, Ricci, Ester, Richter, Robert, Richter, Stefan, Richter-Was, Elzbieta, Ridel, Melissa, Rieck, Patrick, Riedler, Petra, Rijssenbeek, Michael, Rimoldi, Adele, Rimoldi, Marco, Rinaldi, Lorenzo, Rinn, Timothy Thomas, Rinnagel, Maximilian Paul, Ripellino, Giulia, Riu, Imma, Rivadeneira Bracho, Pablo Andres, Rivera Vergara, Juan Cristobal, Rizatdinova, Flera, Rizvi, Eram Syed, Rizzi, Chiara, Roberts, Bryn Arthur, Roberts, Ryan, Robertson, Steven, Robin, Matthieu, Robinson, Dave, Robles Gajardo, Carolina Michel, Robles Manzano, Maria, Robson, Aidan, Rocchi, Alessandro, Roda, Chiara, Rodriguez Bosca, Sergi, Rodriguez Garcia, Yohany, Rodriguez Rodriguez, Arturo, Rodriguez Vera, Ana Maria, Roe, Shaun, Roemer, Jonas Till, Roepe, Amber, Roggel, Jens, Rohne, Ole, Rojas Caballero, Rimsky Alejandro, Roland, Benoit, Roland, Christophe Pol A., Roloff, Jennifer Kathryn, Romaniouk, Anatoli, Romano, Marino, Hernandez, A.C. Romero, Rompotis, Nikolaos, Ronzani, Manfredi, Roos, Lydia, Rosati, Stefano, Rosser, Benjamin John, Rossi, Edoardo, Rossi, Eleonora, Rossi, Elvira, Rossi, Leonardo, Rossini, Lorenzo, Rosten, Rachel Christine, Rotaru, Marina, Rottler, Benjamin, Rousseau, David, Rousso, David, Rovelli, Giulia, Roy, Avik, Rozanov, Alexandre, Rozen, Yoram, Ruan, Ruanxf, Ruby, Adam James, Ruggeri, Tristan Andrew, Ruehr, Frederik, Ruiz Martinez, Arantxa, Rummler, Andre, Rurikova, Zuzana, Rusakovich, Nikolai, Russell, Heather, Rustige, Lennart, Rutherfoord, John P., Ruttinger, Elias, Rybacki, Katherine Amy, Rybar, Martin, Rye, Eli Baverfjord, Ryzhov, Andrey, Sabater Iglesias, Jorge Andres, Sabatini, Paolo, Sabetta, Luigi, Sadrozinski, Hartmut, Sadykov, Renat, Safai Tehrani, Francesco, Safarzadeh Samani, Batool, Safdari, Murtaza, Saha, Shreya, Sahinsoy, Merve, Sahu, Arunika, Saimpert, Matthias, Saito, Masahiko, Saito, Tomoyuki, Salamani, Dalila, Salamanna, Giuseppe, Salnikov, Andy, Salt, Jose, Salvador Salas, Adrian, Salvatore, Daniela, Salvatore, Fabrizio, Salzburger, Andreas, Sammel, Dirk, Sampsonidis, Dimos, Sampsonidou, Despoina, Sanchez Martinez, Francisco Javier, Sanchez Pineda, Arturos, Sanchez Sebastian, Victoria, Sandaker, Heidi, Sander, Christian, Sanderswood, Izaac, Sandesara, Jay Ajitbhai, Sandhoff, Marisa, Sandoval Usme, Carlos, Sankey, D.P. C., Sansoni, Andrea, Santoni, Claudio, Santos, Helena, Santpur, Sai Neha, Santra, Arka, Saoucha, Kamal, Sapronov, Andrey, Mendes Saraiva, Joao Gentil, Sardain, Jad Mathieu, Sasaki, Osamu, Sato, Koji, Sauer, Christof, Sauerburger, Frank, Sauvan, Emmanuel, Savard, Pierre, Sawada, Ryu, Sawyer, Craig, Sawyer, Lee, Sayago Galvan, Ivan, Sbarra, Carla, Sbrizzi, Antonio, Scanlon, Timothy Paul, Schaarschmidt, Jana, Schacht, Peter, Schaefer, Douglas Michael, Schaefer, Uli, Schaffer, R.D., Schaile, Dorothee, Schamberger, Robert Dean, Schanet, Eric, Scharf, Christian, Scharmberg, Nicolas, Chtcheguelski, Valery, Schegelsky, V.A., Scheirich, Daniel, Schenck, Ferdinand, Schernau, Michael, Schiavi, Carlo, Schillaci, Zachary Michael, Schioppa, Enrico, Schioppa, Marco, Schlag, Bastian, Schleicher, Katharina, Schlenker, Stefan, Schmieden, Kristof, Schmitt, Christian, Schmitt, Stefan, Schoeffel, Laurent Olivier, Schoening, Andre, Scholer, Patrick, Schopf, Elisabeth, Schott, Matthias, Schovancova, Jaroslava, Schramm, Steven, Schroeder, Frederic, Schultz-Coulon, Hans-Christian, Schumacher, Markus, Schumm, Bruce Andrew, Schune, Philippe, Schune, Ph., Schwartzman, Ariel Gustavo, Schwarz, Thomas Andrew, Schwemling, Philippe, Schwemling, Ph., Schwienhorst, Reinhard, Sciandra, Andrea, Sciolla, Gabriella, Scuri, Fabrizio, Scutti, Federico, Sebastiani, Cristiano, Sedlaczek, Kevin, Seema, Pienpen, Seidel, Sally, Seiden, Abraham, Seidlitz, Blair Daniel, Seiss, Todd Michael, Seitz, Claudia, Seixas, Jose, Sekhniaidze, Givi, Sekula, Stephen Jacob, Selem, Luka, Semprini Cesari, Nicola, Sen, Sourav, Serin, Laurent, Serkin, Leonid, Sessa, Marco, Severini, Horst, Sevova, Stanislava, Sforza, Federico, Sfyrla, Anna, Shabalina, Elizaveta, Shaheen, Rabia, Shahinian, Jeff, Ahlgren, Nabila Wahab, Shaikh, N.W., Shaked Renous, Dan, Shan, Lianyou, Shapiro, Marjorie, Sharma, Abhishek, Sharma, Surabhi, Shatalov, Sppavel, Shatalov, P.B., Shaw, Kate, Shaw, Savanna, Sherwood, Peter, Shi, Liaoshan, Shimmin, Chase Owen, Shimogama, Yoshihiro, Shinner, James David, Shipsey, I.P. J., Shirabe, Shohei, Shiyakova, Mariya, Shlomi, Jonathan, Shochet, M.J., Shojaii, Seyed Ruhollah, Shojaii, J., Shope, David Richard, Shrestha, Suyog, Shrif, Esra Mohammed, Shroff, Maheyer Jamshed, Sicho, Petr, Sickles, Anne Marie, Sideras Haddad, Elias, Sidiropoulou, Ourania, Sidoti, Antonio, Siegert, Frank, Sijacki, Dorde, Sijacki, Dj., Sili, Francisco, Silva, Julia Manuela, Silva Oliveira, Marcos Vinicius, Silverstein, Samuel, Simion, Stefan, Simoniello, Rosa, Simpson, Nathan Daniel, Simsek, Sinem, Sindhu, Sreelakshmi, Sinervo, Pekka, Sinetckii, Viktor, Singh, Sundeep, Singh, Sahibjeet, Sinha, Supriya, Sinha, Sukanya, Sioli, Maximiliano, Siral, Ismet, Sivoklokov, Serguei, Sjoelin, Joergen, Skaf, Ali, Skorda, Eleni, Skubic, Patrick, Slawinska, Magdalena, Smakhtin, Vladimir, Smart, Ben Harry, Smiesko, Juraj, Smirnov, Serge, Smirnov, Yury, Smirnova, Lidia, Smirnova, Oxana, Smith, Emily Ann, Smith, Hayden Alexander, Smith, Rachel Emma Clarke, Smizanska, Maria, Smolek, Karel, Smykiewicz, Andrzej, Snesarev, Andrei, Snoek, Hella, Snyder, Scott, Sobie, Randy, Soffer, Abi, Solans Sanchez, Carlos, Soldatov, Evgeny, Soldevila Serrano, Urmila, Solodkov, Sanya, Solodkov, A.A., Solomon, Shalu, Soloshenko, Aleksey, Solovieva, Ksenia, Solovyanov, Oleg, Solovyev, Victor, Sommer, Philip, Son, Hyungsuk, Sonay, Anil, Song, Wen Yi, Sopczak, Andre, Sopio, Alex, Sopkova, Filomena, Sothilingam, Varsiha, Sottocornola, Simone, Soualah, Rachik, Sukharev, Andrei, Soumaimi, Zainab, South, David, Spagnolo, Stefania, Spalla, Margherita, Spangenberg, Martin, Spano, Francesco, Sperlich, Dennis, Spigo, Giancarlo, Spina, Mario, Spinali, Sebastiano, Spiteri, Dwayne Patrick, Spousta, Martin, Staats, Ezekiel, Stabile, Alberto, Stamas, Brianna, Stamen, Rainer, Stamenkovic, Marko, Stampekis, Alexios, Standke, Mark, Stanecka, Ewa, Stanislaus, Beojan, Stanitzki, Marcel, Stankaityte, Migle, Stapf, Birgit Sylvia, Starchenko, Jenya, Starchenko, E.A., Stark, Giordon Holtsberg, Stark, Jan, Starko, Darij Markian, Staroba, Pavel, Starovoitov, Pavel, Staerz, Steffen, Staszewski, Rafal, Stavropoulos, George, Steentoft, Jonas, Steinberg, Peter Alan, Steinhebel, Amanda, Stelzer, Bernd, Stelzer, Joerg, Stelzer-Chilton, Oliver, Stenzel, Hasko, Stevenson, Thomas James, Stewart, Graeme A., Stockton, Mark, Stoicea, Gabriel, Stolarski, Marcin, Stonjek, Stefan, Straessner, Arno, Strandberg, Jonas, Strandberg, Sara, Strauss, Mike, Strebler, Thomas, Strizenec, Pavol, Strohmer, Raimund, Strom, David, Strom, Lars Rickard, Stroynowski, Ryszard, Strubig, Antonia, Stucci, Stefania Antonia, Stugu, Bjarne, Stupak, John, Styles, Nicholas, Su, Dong, Su, Shixiang, Su, Wanyun, Su, Xiaowen, Sugizaki, Kaito, Sulin, Vladimir, Sullivan, Matthew James, Sultan, D.M. S., Sultanaliyeva, Laily, Sultanov, Salekh, Sultansoy, S., Sumida, Toshi, Sun, Siyuan, Sun, Shaojun, Gudnadottir, O.Sunneborn, Sutton, Mark, Svatos, Michal, Swiatlowski, Maximilian J., Swirski, Thorben, Sykora, Ivan, Sykora, Martin, Sykora, Tomas, Ta, Duc Bao, Tackmann, Kerstin, Taffard, Anyes, Tafirout, Reda, Taibah, Reem Hani M., Takashima, Ryuichi, Takeda, Kosuke, Takeva, Emily Petrova, Takubo, Yosuke, Talby, Mossadek, Talyshev, Alexei, Tam, Kai Chung, Tamir, Nadav Michael, Tanaka, Aoto, Tanaka, Junichi, Tanaka, Rei, Tang, Jiannan, Tao, Zhengcheng, Tapia Araya, Sebastian, Tapprogge, Stefan, Mohamed, A.Tarek Abouelfadl, Tarem, Shlomit, Tariq, Khuram, Tarna, Grigore, Tartarelli, Francesco, Tas, Petr, Tasevsky, Marek, Tassi, Enrico, Tateno, Gen, Tayalati, Yahya, Taylor, Geoffrey Norman, Taylor, Wendy Jane, Teagle, Hamish Edward, Tee, A.S., Teixeira de Lima, Rafael, Teixeira-Dias, Pedro, Teoh, Jia Jian, Terashi, Koji, Terron Cuadrado, Juan, Terzo, Stefano, Testa, Marianna, Teuscher, Richard, Themistokleous, Neofytos, Theveneaux-Pelzer, Timothee, Thielmann, Oliver, Thomas, David William, Thomas, Juergen, Thompson, Emily Anne, Thompson, Paul, Thomson, Evelyn Jean, Thorpe, Edward James, Tian, Yusong, Tikhomirov, Vladimir, Tikhonov, Iouri, Tikhonov, Yu. A., Timoshenko, Sergei, Ting, Edmund Xiang Lin, Tipton, Paul Louis, Tisserant, Sylvain, Tlou, Humphry, Tnourji, Abdellah, Todome, Kazuki, Todorova-Nova, S., Todt, Stefanie, Togawa, Manabu, Tojo, Junji, Tokar, Stano, Tokushuku, Katsuo, Tombs, Rupert, Tomoto, Makoto, Tompkins, Lauren Alexandra, Tornambe, Peter, Torrence, Eric, Torres, Heberth, Torro Pastor, Emma, Toscani, Mariana, Tosciri, Cecilia, Tovey, Daniel, Traeet, Are Sivertsen, Trandafir, Iulia-Stefania, Treado, Colleen Jennifer, Trefzger, Thomas, Tricoli, Alessandro, Trigger, Isabel, Trincaz-Duvoid, Sophie, Trischuk, Dominique Anderson, Trischuk, William, Trocme, Benjamin, Trofymov, Artur, Troncon, Clara, Trovato, Fabrizio, Truong, Thi Ngoc Loan, Trzebinski, Maciej, Trzupek, Adam, Tsai, Fang-Ying, Tsai, Meng-Ju, Tsiamis, Angelos, Tsiareshka, Pavel, Tsirigotis, Apostolos, Tsiskaridze, Vakhtang, Tskhadadze, Edisher, Tsopoulou, Maria-Evanthia, Tsujikawa, Yoshiaki, Tsukerman, Ilia, Tsulaia, Vakhtang, Tsuno, Soshi, Tsur, Omer, Tsybyshev, Dmitry, Tu, Yanjun, Tudorache, Alexandra, Tudorache, Valentina, Tuna, Alexander Naip, Turchikhin, Semen, Turk Cakir, Ilkay, Turra, Ruggero, Tuts, Mike, Tzamarias, Spyros, Tzanis, Polyneikis, Tzovara, Eftychia, Uchida, Kenta, Ukegawa, Fumihiko, Ulloa Poblete, Pablo Augusto, Unal, Guillaume, Unal, Mesut, Undrus, Alexander, Unel, Gokhan, Uno, Kenta, Urban, Josef, Urquijo, Phillip, Usai, Giulio, Ushioda, Risa, Usman, Muhammad, Uysal, Zekeriya, Vacek, Vic, Vachon, Brigitte, Vadla, Knut Oddvar Hoie, Vafeiadis, Theodoros, Valderanis, Chrysostomos, Valdes Santurio, Eduardo, Valente, Marco, Valentinetti, Sara, Valero Biot, Alberto, Vallier, Alexis, Valls Ferrer, Juan, van Daalen, Tal Roelof, van Gemmeren, Peter, van Stroud, Samuel, van Vulpen, Ivo, Vanadia, Marco, Vandelli, Wainer, Vandenbroucke, Maxence, van de Wall, Evan Richard, Vandewall, E.R., Vannicola, Damiano, Vannoli, Leonardo, Vari, Riccardo, Varnes, Erich Ward, Varni, Carlo, Varol, T., Mete, Tulin, Varouchas, Dimitris, Varvell, Kevin, Vasile, Matei, Vaslin, Louis, Vasquez, Gerardo, Vazeille, Francois, Vazquez Furelos, David, Vazquez Schroeder, Tamara, Veatch, Jason Robert, Vecchio, Valentina, Veen, Michiel Jan, Veliscek, Iza, Veloce, Laurelle Maria, Veloso, Filipe, Veneziano, Stefano, Ventura, Andrea, Verbytskyi, Andrii, Verducci, Monica, Vergis, Christos, Verissimo de Araujo, Micael, Verkerke, Wouter, Vermeulen, Jos, Vermeulen, Joseph, Vernieri, Caterina, Verschuuren, Pim Jordi, Vessella, Makayla, Vesterbacka, Leonora, Vetterli, Michel Joseph, Vetterli, M.C., Vgenopoulos, Andreas, Viaux Maira, Nicolas, Vickey, Trevor, Vickey Boeriu, Oana, Viehhauser, G.H. A., Vigani, Luigi, Villa, Mauro, Perez, M.Villaplana, Villhauer, Elena Michelle, Vilucchi, Elisabetta, Vincter, Manuella, Virdee, Govindraj Singh, Vishwakarma, Akanksha, Vittori, Camilla, Vivarelli, Iacopo, Vladimirov, Vangelis, Voevodina, Elena, Vogel, Marcelo, Vokac, Petr, von Ahnen, Janik, von Torne, Eckhard, Vormwald, Benedikt, Vorobel, Vit, Vorobev, Konstantin, Vos, Marcel, Vossebeld, Joost, Vozak, Matous, Vozdecky, Lubos, Vranjes, Nenad, Vranjes Milosavljevic, Marija, Vrba, Vaclav, Vreeswijk, Marcel, Vu, Ngoc Khanh, Vuillermet, Raphael, Vujinovic, Olivera, Vukotic, Ilija, Wada, Sayaka, Wagner, Cooper, Wagner, Wolfgang, Wahdan, Shayma, Wahlberg, Hernan Pablo, Wakasa, Rena, Wakida, Moe, Walbrecht, Verena Maria, Walder, James William, Walker, Rodney, Walkowiak, Wolfgang, Wang, Ann Miao, Wang, Alex Zeng, Wang, Chen, Wang, Chenliang, Wang, Haichen, Wang, Jiawei, Wang, Peilong, Wang, Renjie, Wang, Rongkun, Wang, Rui, Wang, Song-Ming, Wang, Shuanggeng, Wang, Tao, Wang, Weitao, Wang, Wenxiao, Wang, Xin, Wang, Xiaoning, Wang, Xi, Wang, Yufeng, Wang, Zirui, Wang, Zhen, Wang, Zhichen, Warburton, Andreas, Ward, Robert James, Warrack, Neil, Watson, Alan, Watson, Miriam, Watts, Gordon, Waugh, Benedict Martin, Webb, Aaron, Weber, Christian, Weber, Michele, Weber, Stephen, Weber, Sebastian Mario, Wei, Chuanshun, Wei, Yingjie, Weidberg, Anthony, Weingarten, Jens, Weirich, Marcel, Weiser, Christian, Wenaus, Torre, Wendland, Bjoern, Wengler, Thorsten, Wenke, Nina Stephanie, Wermes, Norbert, Wessels, Martin, Whalen, Kate, Wharton, Andrew Mark, White, Aaron Stephen, White, Andrew, White, Martin John, Whiteson, Daniel, Wickremasinghe, Lakmin, Wiedenmann, Werner, Wiel, Christian, Wielers, Monika, Wieseotte, Natalie, Wiglesworth, Craig, Wiik-Fuchs, L.A. M., Wilbern, Daniel John, Wilkens, Henric, Williams, Daniel, Williams, Hugh, Williams, Sarah Louise, Willocq, Stephane, Windischhofer, Philipp, Winklmeier, Frank, Winter, Benedict Tobias, Wittgen, Matthias, Wobisch, Markus, Wolf, Anton, Woelker, Ricardo, Wollrath, Julian, Wolter, Marcin, Wolters, Helmut, Wong, Vincent Wai Sum, Wongel, Alicia, Worm, Steven, Wosiek, Barbara Krystyna, Wozniak, Krzysztof Wieslaw, Wraight, Kenneth Gibb, Wu, Jinfei, Wu, Sau Lan, Wu, Xin, Wu, Yusheng, Wu, Zhibo, Wurzinger, Jonas, Wyatt, Terry, Wynne, Benjamin Michael, Xella, Stefania, Xia, Ligang, Xia, Mingming, Xiang, Jianhuan, Xiao, Xiong, Xie, Mingzhe, Xie, Xiangyu, Xiotidis, Ioannis, Xu, Da, Xu, Hanlin, Xu, Hao, Xu, Lailin, Xu, Riley, Xu, Tairan, Xu, Wenhao, Xu, Yue, Xu, Zhongyukun, Xu, Zijun, Yabsley, Bruce Donald, Yacoob, Sahal, Yamaguchi, Naoki, Yamaguchi, Yohei, Yamauchi, Hiroki, Yamazaki, Tomohiro, Yamazaki, Yuji, Yan, Jun, Yan, Siyuan, Yan, Zhen, Yang, Haijun, Yang, Hongtao, Yang, Siqi, Yang, Tianyi, Yang, Xiao, Yang, Xuan, Yang, Yi-Lin, Yang, Zhe, Yao, Wei-Ming, Yap, Yee Chinn, Ye, Hanfei, Ye, Jingbo, Ye, Shuwei, Ye, Xinmeng, Yeletskikh, Ivan, Yexley, Melissa, Yin, Pengqi, Yorita, Kohei, Young, Christopher, Young, Charlie, Yuan, Man, Yuan, Rui, Yue, Xiaoguang, Zaazoua, Mohamed, Zabinski, Bartlomiej Henryk, Zacharis, Georgios, Zaid, Estifa'A, Zaytsev, Alexandre, Zakareishvili, Tamar, Zakharchuk, Nataliia, Zambito, Stefano, Zanzi, Daniele, Zaplatilek, Ota, Zeissner, Sonja Verena, Zeitnitz, Christian, Zeng, Jiancong, Zenger, Douglas Todd, Zenin, Oleg, Zenis, Tibor, Zenz, Seth, Zerradi, Soufiane, Zerwas, Dirk, Zhang, Bowen, Zhang, Dengfeng, Zhang, Gang, Zhang, Jinlong, Zhang, Kaili, Zhang, Lei, Zhang, Matt, Zhang, Rui, Zhang, Shuzhou, Zhang, Xiangke, Zhang, Xueyao, Zhang, Zhiqing Philippe, Zhao, Haoran, Zhao, Pingchuan, Zhao, Tongbin, Zhao, Yuzhan, Zhao, Zhengguo, Zhemchugov, Alexey, Zheng, Zhi, Zhong, Dewen, Zhou, Bing, Zhou, Chen, Zhou, Hao, Zhou, Ning, Zhou, You, Zhu, Chengguang, Zhu, Chenzheng, Zhu, Heling, Zhu, Hongbo, Zhu, Junjie, Zhu, Yingchun, Zhuang, Xuai, Zhukov, Konstantin, Zhulanov, Vladimir, Zieminska, Daria, Zimine, Nikolai, Zimmermann, Stephanie Ulrike, Zinsser, Joachim, Ziolkowski, Michal, Zivkovic, Lidija, Zoccoli, Antonio, Zoch, Knut, Zorbas, Theodore, Zormpa, Olga, Zou, Wenkai, Zwalinski, Lukasz, İstinye Üniversitesi, Serkant Ali Çetin / 0000-0001-5050-8441, Andrew John Beddall / 0000-0002-8451-9672, Sertaç Öztürk / 0000-0001-6533-6144, Cetin, Serkant Ali, Beddall, Andrew John, Ozturk, Sertac, Serkant Ali Çetin / AGF-0147-2022, Andrew John Beddall / AAE-5820-2022, Sertaç Öztürk / AGO-2476-2022, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), ATLAS, Brandt, Oleg [0000-0001-5219-1417], Burr, Jon [0000-0001-6726-6362], Chapman, John [0000-0002-2926-8962], Fawcett, William [0000-0003-2596-8264], Hommels, Bart [0000-0003-0684-600X], Lester, Christopher [0000-0001-5770-4883], Pacey, Holly [0000-0002-2325-6792], Parker, Andy [0000-0001-9798-8411], Potter, Christina [0000-0002-9815-5208], Robinson, David [0000-0001-6169-4868], Williams, Sarah [0000-0001-6174-401X], Apollo - University of Cambridge Repository, Aad, G, Bachas, K, Chiodini, G, Gorini, E, Gravili, F, Longo, L, Primavera, M, Reale, M, Schioppa, E, Spagnolo, S, Ventura, A, ATLAS Collaboration, And, Abbott, B, 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Tokushuku, K, Tombs, R, Tomoto, M, Tompkins, L, Tornambe, P, Torrence, E, Torres, H, Pastor, ET, Toscani, M, Tosciri, C, Tovey, DR, Traeet, A, Trandafir, IS, Treado, CJ, Trefzger, T, Tricoli, A, Trigger, IM, Trincaz-Duvoid, S, Trischuk, DA, Trischuk, W, Trocme, B, Trofymov, A, Troncon, C, Trovato, F, Truong, L, Trzebinski, M, Trzupek, A, Tsai, F, Tsai, M, Tsiamis, A, Tsiareshka, PV, Tsirigotis, A, Tsiskaridze, V, Tskhadadze, EG, Tsopoulou, M, Tsujikawa, Y, Tsukerman, II, Tsulaia, V, Tsuno, S, Tsur, O, Tsybychev, D, Tudorache, A, Tudorache, V, Tuna, AN, Turchikhin, S, Cakir, IT, Turra, R, Tzamarias, S, Tzanis, P, Tzovara, E, Uchida, K, Ukegawa, F, Poblete, PAU, Unal, G, Unal, M, Undrus, A, Unel, G, Uno, K, Urban, J, Urquijo, P, Usai, G, Ushioda, R, Usman, M, Uysal, Z, Vacek, V, Vachon, B, Vadla, KOH, Vafeiadis, T, Valderanis, C, Santurio, EV, Valente, M, Valentinetti, S, Valero, A, Vallier, A, Ferrer, JAV, Van Daalen, TR, Van Gemmeren, P, Van Stroud, S, Van Vulpen, I, Vanadia, M, Vandelli, W, Vandenbroucke, M, Vandewall, ER, Vannicola, D, Vannoli, L, Vari, R, Varnes, EW, Varni, C, Varol, T, Varouchas, D, Varvell, KE, Vasile, ME, Vaslin, L, Vasquez, GA, Vazeille, F, Furelos, DV, Schroeder, TV, Veatch, J, Vecchio, V, Veen, MJ, Veliscek, I, Veloce, LM, Veloso, F, Veneziano, S, Verbytskyi, A, Verducci, M, Vergis, C, De Araujo, MV, Verkerke, W, Vermeulen, JC, Vernieri, C, Verschuuren, PJ, Vessella, M, Vesterbacka, ML, Vetterli, MC, Vgenopoulos, A, Maira, NV, Vickey, T, Boeriu, OEV, Viehhauser, GHA, Vigani, L, Villa, M, Perez, MV, Villhauer, EM, Vilucchi, E, Vincter, MG, Virdee, GS, Vishwakarma, A, Vittori, C, Vivarelli, I, Vladimirov, V, Voevodina, E, Vogel, M, Vokac, P, Von Ahnen, J, Von Toerne, E, Vormwald, B, Vorobel, V, Vorobev, K, Vos, M, Vossebeld, JH, Vozak, M, Vozdecky, L, Vranjes, N, Milosavljevic, MV, Vrba, V, Vreeswijk, M, Vu, NK, Vuillermet, R, Vujinovic, OV, Vukotic, I, Wada, S, Wagner, C, Wagner, W, Wahdan, S, Wahlberg, H, Wakasa, R, Wakida, M, Walbrecht, VM, Walder, J, Walker, R, Walkowiak, W, Wang, AM, Wang, AZ, Wang, C, Wang, H, Wang, J, Wang, P, Wang, RJ, Wang, R, Wang, SM, Wang, S, Wang, T, Wang, WT, Wang, WX, Wang, X, Wang, Y, Wang, Z, Warburton, A, Ward, RJ, Warrack, N, Watson, AT, Watson, MF, Watts, G, Waugh, BM, Webb, AF, Weber, C, Weber, MS, Weber, SA, Weber, SM, Wei, C, Wei, Y, Weidberg, AR, Weingarten, J, Weirich, M, Weiser, C, Wenaus, T, Wendland, B, Wengler, T, Wenke, NS, Wermes, N, Wessels, M, Whalen, K, Wharton, AM, White, AS, White, A, White, MJ, Whiteson, D, Wickremasinghe, L, Wiedenmann, W, Wiel, C, Wielers, M, Wieseotte, N, Wiglesworth, C, Wiik-Fuchs, LAM, Wilbern, DJ, Wilkens, HG, Williams, DM, Williams, HH, Williams, S, Willocq, S, Windischhofer, PJ, Winklmeier, F, Winter, BT, Wittgen, M, Wobisch, M, Wolf, A, Wolker, R, Wollrath, J, Wolter, MW, Wolters, H, Wong, VWS, Wongel, AF, Worm, SD, Wosiek, BK, Wraight, K, Wu, J, Wu, SL, Wu, X, Wu, Y, Wu, Z, Wuerzinger, J, Wyatt, TR, Wynne, BM, Xella, S, Xia, L, 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Zimine, NI, Zimmermann, S, Zinsser, J, Ziolkowski, M, Zivkovic, L, Zoccoli, A, Zoch, K, Zorbas, TG, Zormpa, O, Zou, W, Zwalinski, L, Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Współautorami artykułu są członkowie ATLAS Collaboration w liczbie 2862, ATLAS (IHEF, IoP, FNWI), and IoP (FNWI)
Subjects: Physics and Astronomy (miscellaneous), higher-order, distribution function [p], 13000 GeV-cms, parton: distribution function, pair production [top], High Energy Physics - Experiment, Subatomär fysik, High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology (hep-ph), jet, Subatomic Physics, scattering [p p], hadroproduction [vector boson], [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], parton, Nuclear Experiment, протон-протонные столкновения, QC, Settore FIS/01, 8000 GeV-cms, photon, higher-order: 2, perturbation theory: higher-order, ATLAS, 2 [higher-order], photon: direct production, High Energy Physics - Phenomenology, DESY HERA Stor, p p, CERN LHC Coll, 7000 GeV-cms, direct production, differential cross section, p: distribution function, boson, colliding beams [p p], функции распределения партонов, distribution function [parton], top: pair production, Particle Physics - Experiment, perturbation theory [quantum chromodynamics], p p: scattering, direct production [photon], 530 Physics, Regular Article - Experimental Physics, jet: associated production, FOS: Physical sciences, top, CROMODINÂMICA QUÂNTICA, LHC, ATLAS, High Energy Physics, Hadron-hadron scattering, differential cross section: measured, measured [differential cross section], deep inelastic scattering, quantum chromodynamics, TeV, ddc:530, High Energy Physics, associated production [jet], distribution function, quantum chromodynamics: perturbation theory, Engineering (miscellaneous), vector boson: hadroproduction, Particle Physics - Phenomenology, scattering, High Energy Physics::Phenomenology, parametrization, higher-order [perturbation theory], pair production, jet: inclusive production, correlation, High Energy Physics::Experiment, production, inclusive production [jet], ATLAS, детектор, p p: colliding beams, experimental results
Abstract: We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFWandFWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Minciencias, Colombia; MSMT CR, MPOCR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF andMPG, Germany; GSRI, Greece; RGC and HongKong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; JINR; MESof Russia andNRCKI, Russian Federation; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; COST, ERC, ERDF, Horizon 2020 and Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, theATLAS Tier-1 facilities at TRIUMF (Canada), NDGF(Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. [87]., This paper presents an analysis at next-to-next-to-leading order in the theory of quantum chromodynamics for the determination of a new set of proton parton distribution functions using diverse measurements in pp collisions at root s = 7, 8 and 13 TeV, performed by the ATLAS experiment at the Large Hadron Collider, together with deep inelastic scattering data from ep collisions at the HERA collider. The ATLAS data sets considered are differential cross-section measurements of inclusive W-+/- and Z/gamma* boson production, W-+/- and Z boson production in association with jets, t (t) over bar production, inclusive jet production and direct photon production. In the analysis, particular attention is paid to the correlation of systematic uncertainties within and between the various ATLAS data sets and to the impact of model, theoretical and parameterisation uncertainties. The resulting set of parton distribution functions is called ATLASpdf21., ANPCyT, YerPhI, Armenia, Australian Research Council, BMWFW, Austria, Azerbaijan National Academy of Sciences (ANAS), SSTC, Belarus, Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ), Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP), Natural Sciences and Engineering Research Council of Canada (NSERC) NRC, Canada Canada Foundation for Innovation, CERN, ANID, Chile, Chinese Academy of Sciences Ministry of Science and Technology, China National Natural Science Foundation of China (NSFC), Minciencias, Colombia, Ministry of Education, Youth & Sports - Czech Republic Czech Republic Government Czech Republic Government, DNRF, Denmark Danish Natural Science Research Council, Centre National de la Recherche Scientifique (CNRS) CEA-DRF/IRFU, France, SRNSFG, Georgia, Federal Ministry of Education & Research (BMBF), HGF, Germany Max Planck Society, GSRI, Greece, RGC, China HongKong SAR, China, Israel Science Foundation Benoziyo Center, Israel, Istituto Nazionale di Fisica Nucleare (INFN), Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT) Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT) Japan Society for the Promotion of Science, CNRST, Morocco, Netherlands Organization for Scientific Research (NWO) Netherlands Government, RCN, Norway, MEiN, Poland, Portuguese Foundation for Science and Technology European Commission, MNE/IFA, Romania, JINR, Russian Federation, Ministry of Education, Science & Technological Development, Serbia, MSSR, Slovakia, Slovenian Research Agency - Slovenia MIZS, Slovenia, DSI/NRF, South Africa, Spanish Government, SRC, Sweden Wallenberg Foundation, Sweden, SERI, Switzerland Swiss National Science Foundation (SNSF) Canton of Bern, Switzerland Canton of Geneva, Switzerland, Ministry of Science and Technology, Taiwan, Ministry of Energy & Natural Resources - Turkey, UK Research & Innovation (UKRI), Science & Technology Facilities Council (STFC) United States Department of Energy (DOE) National Science Foundation (NSF), BCKDF, Canada CANARIE, Canada Compute Canada, Canada CRC, Canada, COST, European Union European Research Council (ERC) ERDF, European Union Horizon 2020, European Union Marie Sklodowska-Curie Actions, European Union, French National Research Agency (ANR), German Research Foundation (DFG) Alexander von Humboldt Foundation, Herakleitos programme Thales Group Aristeia programme EU-ESF, Greece Greek NSRF, Greece, BSF-NSF, Israel German-Israeli Foundation for Scientific Research and Development, Norwegian Financial Mechanism 2014-2021, Norway, NCN, Poland Polish National Agency for Academic Exchange (NAWA), La Caixa Banking Foundation, Spain CERCA Programme Generalitat de Catalunya, Spain PROMETEO Programme Generalitat Valenciana, Spain GenT Programme Generalitat Valenciana, Spain, Goran Gustafssons Stiftelse, Sweden, Royal Society of London, Leverhulme Trust, Austrian Science Fund (FWF)
Published: 2022
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37. Quark sivers function at small x: spin-dependent odderon and the sub-eikonal evolution

Author: M. Gabriel Santiago and Yuri V. Kovchegov
Subjects: Quark, Nuclear and High Energy Physics, Nuclear Theory, FOS: Physical sciences, Parton, QC770-798, High Energy Physics - Experiment, Nuclear Theory (nucl-th), High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology (hep-ph), Nuclear and particle physics. Atomic energy. Radioactivity, Perturbative QCD, Nuclear Experiment (nucl-ex), Nuclear Experiment, Mathematical physics, Spin-½, Physics, Operator (physics), High Energy Physics::Phenomenology, Order (ring theory), Function (mathematics), Gluon, High Energy Physics - Phenomenology, Distribution function, High Energy Physics::Experiment, Resummation
Abstract: We apply the formalism developed earlier for studying transverse momentum dependent parton distribution functions (TMDs) at small Bjorken $x$ to construct the small-$x$ asymptotics of the quark Sivers function. First, we explicitly construct the complete fundamental "polarized Wilson line" operator to sub-sub-eikonal order: this object can be used to study a variety of quark TMDs at small-$x$. We then express the quark Sivers function in terms of dipole scattering amplitudes containing various components of the "polarized Wilson line" and show that the dominant (eikonal) term which contributes to the quark Sivers function at small $x$ is the spin-dependent odderon, confirming the recent results of Dong, Zheng and Zhou. Our conclusion is also similar to the case of the gluon Sivers function derived by Boer, Echevarria, Mulders and Zhou (see also the work by Szymanowski and Zhou). We also analyze the sub-eikonal corrections to the quark Sivers function using the constructed "polarized Wilson line" operator. We derive new small-$x$ evolution equations re-summing double-logarithmic powers of $\alpha_s \, \ln^2 (1/x)$ with $\alpha_s$ the strong coupling constant. We solve the corresponding novel evolution equations in the large-$N_c$ limit, obtaining a sub-eikonal correction to the spin-dependent odderon contribution. We conclude that the quark Sivers function at small $x$ receives contributions from two terms and is given by \begin{align} f_{1 \: T}^{\perp \: q} (x, k_T^2) = C_O (x, k_T^2) \, \frac{1}{x} + C_1 (k_T^2) \, \left( \frac{1}{x} \right)^0 + \ldots \end{align} with the function $C_O (x, k_T^2)$ varying slowly with $x$ and the ellipsis denoting the sub-asymptotic and sub-sub-eikonal (order-$x$) corrections., Comment: 41 pages, 11 figures, 1 table. Added new discussion paragraphs in section III.A and section IV, added a footnote in section IV, corrected typos, updated references. v3: Minor typos corrected, the sub-eikonal term in the asymptotics of the Sivers function is revised in the follow up paper, see footnote on page 23
Published: 2021

38. Large temperature difference heat dominated flow simulations using a pressure-based lattice Boltzmann method with mass correction

Author: Guanxiong Wang, Lincheng Xu, Eric Serre, Pierre Sagaut, Laboratoire de Mécanique, Modélisation et Procédés Propres (M2P2), Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU), and Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Fluid Flow and Transfer Processes, Physics, [PHYS]Physics [physics], Natural convection, Mechanical Engineering, [SPI.FLUID]Engineering Sciences [physics]/Reactive fluid environment, [SPI.PLASMA]Engineering Sciences [physics]/Plasmas, Computational Mechanics, Lattice Boltzmann methods, Boundary (topology), Mechanics, Condensed Matter Physics, 01 natural sciences, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, 010305 fluids & plasmas, 010101 applied mathematics, Moment (mathematics), [SPI]Engineering Sciences [physics], Distribution function, Mechanics of Materials, 0103 physical sciences, Thermal, Compressibility, 0101 mathematics, Conservation of mass
Abstract: International audience; This paper addresses simulation of heat dominated compressible flows in a closed cavity using a pressure-based lattice Boltzmann (LB) method, in which thermal effects are modeled by applying a pressure-featured zero-order moment of distribution functions. A focus is made on the conservation of mass at boundary nodes, which is a challenging issue that significantly complicated by the density-decoupled zero-order moment here. The mass leakage at boundary nodes is mathematically quantified, which enables an efficient local mass correction scheme. The performance of this solver is assessed by simulating buoyancy-driven flows in a closed deferentially heated cavity with large temperature differences (non-Boussinesq) at Rayleigh numbers ranging from 103 to 107. Simulations show that mass leakage at solid walls in such configurations is a critical issue to obtain reliable solutions, and it eventually leads to simulations overflow when the cavity is inclined. The proposed mass correction scheme is, however, shown to be effective to control the mass leakage and get accurate solutions. Thus, associated with the proposed mass conservation scheme, the pressure-based LB method becomes reliable to study natural convection dominated flows at large temperature differences in closed geometries with mesh aligned boundaries or not
Published: 2021

39. Validity check of the KATIE parton level event generator in the <math><msub><mi>k</mi><mi>t</mi></msub></math>-factorization and collinear frameworks

Author: M. Modarres, S. Rezaie, and R. Kord Valeshabadi
Subjects: High Energy Physics - Theory, Physics, Particle physics, Generator (category theory), FOS: Physical sciences, Order (ring theory), Parton, Zeus (malware), High Energy Physics - Experiment, High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology, High Energy Physics - Phenomenology (hep-ph), Distribution function, High Energy Physics - Theory (hep-th), Factorization, Production (computer science), Event generator
Abstract: In the present paper, we check and study the validity of the KATIE parton level event generator by calculating the inclusive electron-proton (ep) dijet and the proton-proton (pp) Drell-Yan electron-pair production’s differential cross sections in the kt- and collinear factorization frameworks. The Martin-Ryskin-Watt (MRW) unintegrated parton distribution functions (UPDFs) are used as the input UPDFs. The results are compared with those of ZEUS ep inclusive dijet and ATLAS p-p Drell-Yan electron-pair productions, experimental data. The KATIE parton level event generator can directly calculate the cross sections in the kt-factorization framework. It was noticed by van Hameren, the author of KATIE, that the lab to the Breit transformation in this generator was not correctly implemented, so the produced output did not cover the ep ZEUS experimental data in which the mentioned transformation is applied. The author of the code fixed the bug by implementing the correct transformation in the KATIE parton event generator. Then, we could appropriately produce the ep inclusive dijet differential cross section, in comparison with those of ZEUS data. It is also shown that the Martin-Ryskin-Watt at the next-to-leading order level, with the angular ordering constraint, can successfully predict the ATLAS p-p Drell-Yan data. Finally, as it is expected, we conclude that the kt factorization is an appropriate tool for the small longitudinal parton momenta and high center of mass energies, with respect to the collinear one.
Published: 2021

40. On the Complex-Valued Distribution Function of Charged Particles in Magnetic Fields.

Author: Saveliev, Andrey
Subjects: MAGNETIC particles, DISTRIBUTION (Probability theory), MAGNETIC fields, KINETIC theory of gases, BOLTZMANN'S equation, PARTICLE beams
Abstract: In this work, we revisit Boltzmann's distribution function, which, together with the Boltzmann equation, forms the basis for the kinetic theory of gases and solutions to problems in hydrodynamics. We show that magnetic fields may be included as an intrinsic constituent of the distribution function by theoretically motivating, deriving and analyzing its complex-valued version in its most general form. We then validate these considerations by using it to derive the equations of ideal magnetohydrodynamics, thus showing that our method, based on Boltzmann's formalism, is suitable to describe the dynamics of charged particles in magnetic fields. [ABSTRACT FROM AUTHOR]
Published: 2021
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