首页> 外文学位 >Muon Neutrino Disappearance in NOvA with a Deep Convolutional Neural Network Classifier.

【24h】

Muon Neutrino Disappearance in NOvA with a Deep Convolutional Neural Network Classifier.

机译：深度卷积神经网络分类器在NOvA中的Muon中微子消失。

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

he NuMI Off-axis Neutrino Appearance Experiment (NOvA) is designed to study neutrino oscillation in the NuMI (Neutrinos at the Main Injector) beam. NOvA observes neutrino oscillation using two detectors separated by a baseline of 810 km; a 14 kt Far Detector in Ash River, MN and a functionally identical 0.3 kt Near Detector at Fermilab. The experiment aims to provide new measurements of

机译：NuMI离轴中微子外观实验（NOvA）旨在研究NuMI（主注入器中的Neutrinos）束中的中微子振荡。 NOvA使用两个相距基线为810 km的探测器观测中微子振荡；明尼苏达州阿什河的一枚14 kt远距探测器和费米实验室的功能相同的0.3 kt近距探测器。该实验旨在提供对

著录项

作者
Rocco, Dominick Rosario.;
展开▼
作者单位

University of Minnesota.;

展开▼
授予单位 University of Minnesota.;
学科 High energy physics.;Artificial intelligence.
学位 Ph.D.
年度 2016
页码 242 p.
总页数 242
原文格式 PDF
正文语种 eng
中图分类
关键词

相似文献

外文文献
中文文献
专利

1. First measurement of muon-neutrino disappearance in NOvA [J] . Adamson P., Ader C., Andrews M., Physical review, D . 2016,第5aPta1期

机译：首先测量新星的Muon-Neutrino消失
2. Application of Deep Convolutional Neural Networks in Attention-Deficit/Hyperactivity Disorder Classification: Data Augmentation and Convolutional Neural Network Transfer Learning [J] . Zhu Li, Chang Weike Journal of Medical Imaging and Health Informatics . 2019,第8期

机译：深度卷积神经网络在注意力缺陷/多动障碍分类中的应用：数据增强与卷积神经网络转移学习
3. Quality grading of jujubes using composite convolutional neural networks in combination with RGB color space segmentation and deep convolutional generative adversarial networks [J] . Guo Zhongyuan, Zheng Hong, Xu Xiaohang, Journal of food process engineering . 2021,第2期

机译：使用复合卷积神经网络与RGB彩色空间分割和深卷积生成对抗网络相结合的枣的质量分级
4. Speech Emotion Recognition using Convolution Neural Networks and Deep Stride Convolutional Neural Networks [C] . Taiba Majid Wani, Teddy Surya Gunawan, Syed Asif Ahmad Qadri, International Conference on Wireless and Telematics . 2020

机译：使用卷积神经网络和深度跨步卷积神经网络的语音情感识别
5. Deep Neural Language Model for Text Classification Based on Convolutional and Recurrent Neural Networks [D] . Hassan, Abdalraouf. 2018

机译：基于卷积神经网络和递归神经网络的深度神经语言文本分类模型
6. Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network [O] . Seung Seog Han, Gyeong Hun Park, Woohyung Lim, -1

机译：深度神经网络在灰指甲诊断中显示出与皮肤科医生相当且通常优于皮肤病的性能：通过基于区域的卷积深度神经网络自动构建灰指甲数据集
7. Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network [O] . Seung Seog Han, Gyeong Hun Park, Woohyung Lim, 2018

机译：深度神经网络对甲癣诊断的皮肤病学家表现出相同，并且通常优异的性能：由基于区域的卷积深神经网络自动构建甲癣数据集

Muon Neutrino Disappearance in NOvA with a Deep Convolutional Neural Network Classifier.

摘要

著录项

相似文献

相关主题

期刊订阅