Zernike Moment Based Classification of Cosmic Ray Candidate Hits from CMOS Sensors
Reliable tools for artefact rejection and signal classification are a must for cosmic ray detection experiments based on CMOS technology. In this paper, we analyse the fitness of several feature-based statistical classifiers for the classification of particle candidate hits in four categories: spots...
Guardado en:
Autores principales: | Olaf Bar, Łukasz Bibrzycki, Michał Niedźwiecki, Marcin Piekarczyk, Krzysztof Rzecki, Tomasz Sośnicki, Sławomir Stuglik, Michał Frontczak, Piotr Homola, David E. Alvarez-Castillo, Thomas Andersen, Arman Tursunov |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/e0d447a779a44da8978b952d679c1456 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
CMOS voltage-controlled oscillator with high-performance MEMS tunable inductor
por: Uikyu Chae, et al.
Publicado: (2021) -
Arreglo de Microelectrodos Planares con Procesos CMOS Estándar (Semiconductor Complementario Metal-Oxido)
por: López,Francisco, et al.
Publicado: (2011) -
CMOS Implementation of ANNs Based on Analog Optimization of N-Dimensional Objective Functions
por: Alejandro Medina-Santiago, et al.
Publicado: (2021) -
Manufacturing and Characterization of Three-Axis Magnetic Sensors Using the Standard 180 nm CMOS Technology
por: Chi-Han Wu, et al.
Publicado: (2021) -
Inter-Ocular Asymmetry in Anterior Corneal Aberrations Using Placido Disk-Based Topography
por: Alzaben Z, et al.
Publicado: (2020)