José Brito del Pino, Felipe Brito del Pino, Moshe Brito del Pino, Diego Reina
{"title":"同步加速器光束线图形用户界面","authors":"José Brito del Pino, Felipe Brito del Pino, Moshe Brito del Pino, Diego Reina","doi":"10.37135/unach.ns.001.04.06","DOIUrl":null,"url":null,"abstract":"This research consisted of developing a graphical user interface in Python language for the reconstruction of images based on the image-based propagation technique (PBI). The methodology used consisted of rewriting and ordering the existing code by reformulating it in the form of classes and methods to link them to the graphical user interface template using PyQt. The analysis requirements, design, and implementation of user graphic interface were explained. The graphical user interface permitted conducted two experiments using the image-based propagation technique (PBI) and analyzing their differences and similarities, and demonstrating that the algorithm for reconstruction was testing successfully.","PeriodicalId":182401,"journal":{"name":"NOVASINERGIA REVISTA DIGITAL DE CIENCIA, INGENIERÍA Y TECNOLOGÍA","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Graphic User Interface for Synchrotron Beamline\",\"authors\":\"José Brito del Pino, Felipe Brito del Pino, Moshe Brito del Pino, Diego Reina\",\"doi\":\"10.37135/unach.ns.001.04.06\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research consisted of developing a graphical user interface in Python language for the reconstruction of images based on the image-based propagation technique (PBI). The methodology used consisted of rewriting and ordering the existing code by reformulating it in the form of classes and methods to link them to the graphical user interface template using PyQt. The analysis requirements, design, and implementation of user graphic interface were explained. The graphical user interface permitted conducted two experiments using the image-based propagation technique (PBI) and analyzing their differences and similarities, and demonstrating that the algorithm for reconstruction was testing successfully.\",\"PeriodicalId\":182401,\"journal\":{\"name\":\"NOVASINERGIA REVISTA DIGITAL DE CIENCIA, INGENIERÍA Y TECNOLOGÍA\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NOVASINERGIA REVISTA DIGITAL DE CIENCIA, INGENIERÍA Y TECNOLOGÍA\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37135/unach.ns.001.04.06\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NOVASINERGIA REVISTA DIGITAL DE CIENCIA, INGENIERÍA Y TECNOLOGÍA","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37135/unach.ns.001.04.06","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This research consisted of developing a graphical user interface in Python language for the reconstruction of images based on the image-based propagation technique (PBI). The methodology used consisted of rewriting and ordering the existing code by reformulating it in the form of classes and methods to link them to the graphical user interface template using PyQt. The analysis requirements, design, and implementation of user graphic interface were explained. The graphical user interface permitted conducted two experiments using the image-based propagation technique (PBI) and analyzing their differences and similarities, and demonstrating that the algorithm for reconstruction was testing successfully.