Redirigiendo al acceso original de articulo en 15 segundos...
Inicio  /  Instruments  /  Vol: 7 Par: 4 (2023)  /  Artículo
ARTÍCULO
TITULO

Kernel Density Estimators for Axisymmetric Particle Beams

Christopher M. Pierce and Young-Kee Kim    

Resumen

Bright beams are commonly represented by sampled data in the numerical algorithms used to simulate their properties. However, in these calculations and the analyses of their outputs, the beam?s density is sometimes required and must be calculated from the samples. Axisymmetric beams, which possess a rotational symmetry and are naturally expressed in polar coordinates, pose a particular challenge to density estimators. The area element in polar coordinates shrinks as the radius becomes small, and weighting the samples to account for their reduced frequency may cause unwelcome artifacts. In this work, we derive analytical expressions for two kernel density estimators, which solve these problems in the spatial coordinates and in the transverse phase space. We show how the kernels can be found by averaging the Gaussian kernel in Cartesian coordinates over the polar angle and demonstrate their use on test problems. These results show that particle beam symmetries can be taken advantage of in density estimation while avoiding artifacts.

 Artículos similares

       
 
Sul-Min Yun, Ji-Hye Jeong, Hang-Tak Jeon, Jae-Yeol Cheong and Se-Yeong Hamm    
Groundwater droughts are one of the natural disasters that raise serious water issues for humans, and are increasing in frequency due to global climate change. In order to identify groundwater droughts, we recorded groundwater level fluctuations upstream... ver más
Revista: Water

 
Ning Jin, Linlin Song, Gabriel Jing Huang and Ke Yan    
Residential electricity consumption forecasting plays a crucial role in the rational allocation of resources reducing energy waste and enhancing the grid-connected operation of power systems. Probabilistic forecasting can provide more comprehensive infor... ver más
Revista: Information

 
Danny D?Agostino, Matteo Diez, Mario Felli and Andrea Serani    
This study investigates the underlying mechanisms governing the evolution of tip vortices in the far field of a naval propeller wake. To achieve this, a novel approach utilizing data clustering applied to particle image velocimetry snapshots is employed.... ver más

 
Qiong Chen, Hongyu Zhang, Yui-yip Lau, Kaiyuan Liu, Adolf K. Y. Ng, Weijie Chen, Qingmei Liao and Maxim A. Dulebenets    
Maritime transportation is vital for the movement of cargo between different continents and distant locations but can be disrupted by the frequent occurrence of pirate attacks. Based on the pirate attacks from July 1994 to December 2019, a spatial analys... ver más

 
Haiyan Xing, Cheng Xu, Ming Yi, Shenrou Gao and Weinan Liu    
Metal magnetic memory (MMM) is a nondestructive testing technology based on the magnetomechanical effect, which is widely used in the qualitative detection of stress concentration zones for welded joints. However, there is inevitable residual stress afte... ver más
Revista: Applied Sciences