Data analysis of Q-value measurements for double-electron capture with SHIPTRAP

Christian Roux; Klaus Blaum; Michael Block; Christian Droese; Sergey Eliseev; Mikhail Goncharov; Frank Herfurth; Enrique Minaya Ramirez; Dmitry Alexandrovich Nesterenko; Yuri Nikolaevich Novikov; Lutz Schweikhard

首页> 外文期刊>The European Physical Journal D >Data analysis of Q-value measurements for double-electron capture with SHIPTRAP

【24h】

Data analysis of Q-value measurements for double-electron capture with SHIPTRAP

机译：SHIPTRAP用于双电子捕获的Q值测量的数据分析

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

A measurement campaign has been carried out for the search for resonantly enhanced neutrinoless double-electron-capture transitions by the determination of the Q εε -values with the SHIPTRAP Penning-trap mass spectrometer. The Q εε -values have been determined by measuring the cyclotron-frequency ratios of the mother and daughter nuclides of the transitions. This article describes the experimental approach and the data analysis by the example of neutrinoless double-electron capture in 152Gd. Various effects as, e.g., temporal fluctuations and spatial inhomogeneity of the magnetic field, or the variation of the ion number in the trap were found not to affect the frequency ratio on the 1 ppb-level, which is the present statistical uncertainty.

机译：通过使用SHIPTRAP Penning-trap质谱仪确定Qεε值，已经进行了测量活动以寻找共振增强的无中微子双电子俘获跃迁。 Qεε值是通过测量跃迁的母核和子核的回旋频率比确定的。本文以152Gd中微子双电子俘获为例，介绍了实验方法和数据分析。发现各种影响，例如磁场的时间波动和空间不均匀性，或阱中离子数的变化，都不会影响1 ppb级的频率比，这是目前的统计不确定性。

著录项

来源
《The European Physical Journal D》 |2013年第7期|1-9|共9页
作者
Christian Roux; Klaus Blaum; Michael Block; Christian Droese; Sergey Eliseev; Mikhail Goncharov; Frank Herfurth; Enrique Minaya Ramirez; Dmitry Alexandrovich Nesterenko; Yuri Nikolaevich Novikov; Lutz Schweikhard;
展开▼
作者单位

Max-Planck-Institut für Kernphysik">(1571);

Fakultät für Physik und Astronomie Ruprecht-Karls-Universität">(2571);

Max-Planck-Institut für Kernphysik">(1571);

GSI Helmholtzzentrum für Schwerionenforschung GmbH">(3571);

Institut für Physik Ernst-Moritz-Arndt-Universität">(4571);

Max-Planck-Institut für Kernphysik">(1571);

Max-Planck-Institut für Kernphysik">(1571);

Fakultät für Physik und Astronomie Ruprecht-Karls-Universität">(2571);

GSI Helmholtzzentrum für Schwerionenforschung GmbH">(3571);

GSI Helmholtzzentrum für Schwerionenforschung GmbH">(3571);

Helmholtz-Institut Mainz Johannes Gutenberg-Universität">(5571);

Petersburg Nuclear Physics Institute">(6571);

Department of Physics St. Petersburg State University">(7571);

Petersburg Nuclear Physics Institute">(6571);

Department of Physics St. Petersburg State University">(7571);

Institut für Physik Ernst-Moritz-Arndt-Universität">(4571);

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词
Atomic Physics;

机译：原子物理学;

相似文献

外文文献
中文文献
专利

1. Data analysis of Q-value measurements for double-electron capture with SHIPTRAP* [J] . Christian Roux, Klaus Blaum, Michael Block, The European physical journal, D. Atomic, molecular, and optical physics . 2013,第7期

机译：使用SHIPTRAP *进行双电子捕获的Q值测量的数据分析*
2. Octupolar-Exdtation Penning-Trap Mass Spectrometry for g-Value Measurement of Double-Electron Capture in ~(164)Er [J] . S. Eliseev, C. Roux, K. Blaum, Physical review letters . 2011,第15期

机译：八极引物Penning-Trap质谱用于〜（164）Er中双电子俘获的g值测量
3. Preparatory studies for a high-precision Penning-trap measurement of the Ho-163 electron capture Q-value [J] . Schneider F., Beyer T., Blaum K., The European Physical Journal, A. Hadrons and Nuclei . 2015,第7期

机译：Ho-163电子俘获Q值的高精度Penning-trap测量的准备研究
4. Soft-tissue Artefact Assessment and Compensation in Motion Analysis by Combining Motion Capture Data and Ultrasound Depth Measurements [C] . Azadeh Rouhandeh, Chris Joslin International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications . 2018

机译：通过组合运动捕获数据和超声波深度测量来通过组织艺术品评估和运动分析补偿
5. Improving Microscale Calorimetry Using Full Field Data Capture of Nanohole Array Transmittance Measurements [D] . Sanborn, Timothy Edwin Beck 2017

机译：使用纳米孔阵列透射率测量的全场数据捕获来改进微米量热法
6. Growth mixture models: a case example of the longitudinal analysis of patient‐reported outcomes data captured by a clinical registry [O] . Jae-Yung Kwon, Richard Sawatzky, Jennifer Baumbusch, 2021

机译：生长混合模型：临床登记处捕获的患者报告的结果数据纵向分析的情况实例
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常
8. Surveys and Investigation Projects as Required by Federal Aid in Wildlife Restoration Act, Missouri: Capture-Recapture Data Analysis and Study Design. Job No. 1: Capture-Recapture Bayesian Analyses for Closed Population Models;Final rept [R] . Wallendorf, M. J., Sheriff, S. L. 2003

机译：密苏里州野生动物恢复法联邦援助所要求的调查和调查项目：捕获 - 再捕获数据分析和研究设计。第1号工作：封闭人口模型的捕获 - 重新捕获贝叶斯分析;最终报告

Data analysis of Q-value measurements for double-electron capture with SHIPTRAP

摘要

著录项

相似文献

相关主题

期刊订阅