Chrome Extension
WeChat Mini Program
Use on ChatGLM

Final Results of GERDA on the Two-Neutrino Double-β Decay Half-Life of ^76Ge

Physical Review Letters(2023)

INFN | UCL | Univ Zurich | Natl Res Ctr Kurchatov Inst | Russian Acad Sci | Max Planck Inst Kernphys | Univ Padua | Tech Univ Munich | Max Planck Inst Phys & Astrophys | INFN Milano Bicocca | NRC Kurchatov Inst | Joint Inst Nucl Res | Eberhard Karls Univ Tubingen | INFN Padova | European Commiss | Tech Univ Dresden | Jagiellonian Univ | Univ Milan

Cited 0|Views42
Abstract
We present the measurement of the two-neutrino double-fl decay rate of 76Ge performed with the GERDA Phase II experiment. With a subset of the entire GERDA exposure, 11.8 kg yr, the half-life of the process has been determined: T2 nu 1/2 1/4 o2.022 +/- 0.018stat +/- 0.038syst thorn x 1021 yr. This is the most precise determination of the 76Ge two-neutrino double-beta decay half-life and one of the most precise measurements of a double-beta decay process. The relevant nuclear matrix element can be extracted: M2 nu eff = (0.101 +/- 0.001).
More
Translated text
Key words
Double-Beta Decay,Neutrino Detection
PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Try using models to generate summary,it takes about 60s
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
Miley, Avignone, Brodzinski, Collar, Reeves
1990

被引用69 | 浏览

Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:本文报道了利用GERDA Phase II实验对^76Ge双中微子双β衰变半衰期的测量结果,实现了该衰变过程半衰期最精确的确定,并提取了相关的有效核矩阵元。

方法】:研究采用GERDA Phase II实验设备,通过检测^76Ge的放射性衰变事件来测量双中微子双β衰变的半衰期。

实验】:实验使用了11.8 kg yr的 GERDA 数据集,得出^76Ge双中微子双β衰变半衰期为 T_{1/2}^{2ν}=(2.022±0.018_{stat}±0.038_{syst})×10^{21} yr,这是该衰变过程最精确的测量结果。