Uncertainty analysis of fission fraction for reactor antineutrino experiments

2016 ◽  
Vol 31 (20) ◽  
pp. 1650120 ◽  
Author(s):  
X. B. Ma ◽  
F. Lu ◽  
L. Z. Wang ◽  
Y. X. Chen ◽  
W. L. Zhong ◽  
...  
Keyword(s):  
Uncertainty Analysis ◽  
Open Source ◽  
Correlation Coefficient ◽  
Source Code ◽  
Daya Bay ◽  
Neutrino Experiment ◽  
Open Source Code ◽  
Reactor Neutrino ◽  
Antineutrino Flux ◽  
The Difference

Reactor simulation is an important source of uncertainties for a reactor neutrino experiment. Therefore, how to evaluate the antineutrino flux uncertainty results from reactor simulation is an important question. In this study, a method of the antineutrino flux uncertainty result from reactor simulation was proposed by considering the correlation coefficient. In order to use this method in the Daya Bay antineutrino experiment, the open source code DRAGON was improved and used for obtaining the fission fraction and correlation coefficient. The average fission fraction between DRAGON and SCIENCE code was compared and the difference was less than 5% for all the four isotopes. The uncertainty of fission fraction was evaluated by comparing simulation atomic density of four main isotopes with Takahama-3 experiment measurement. After that, the uncertainty of the antineutrino flux results from reactor simulation was evaluated as 0.6% per core for Daya Bay antineutrino experiment.

scholarly journals Latest Results from Neutrino Oscillation Experiment Daya Bay

2019 ◽  
Vol 64 (7) ◽  
pp. 653
Author(s):  
V. Vorobel
Keyword(s):  
Mass Splitting ◽  
Current Status ◽  
Daya Bay ◽  
Neutrino Experiment ◽  
Neutrino Mixing ◽  
Mixing Angle ◽  
Reactor Antineutrino ◽  
Neutrino Oscillation Experiment ◽  
Reactor Neutrino ◽  
Antineutrino Flux

The Daya Bay Reactor Neutrino Experiment was designed to measure Θ13, the smallest mixing angle in the three-neutrino mixing framework, with unprecedented precision. The experiment consists of eight identically designed detectors placed underground at different baselines from three pairs of nuclear reactors in South China. Since Dec. 2011, the experiment has been running stably for more than 7 years, and has collected the largest reactor antineutrino sample to date. Daya Bay greatly improved the precision on Θ13 and made an independent measurement of the effective mass splitting in the electron antineutrino disappearance channel. Daya Bay also performed a number of other precise measurements such as a high-statistics determination of the absolute reactor antineutrino flux and the spectrum evolution, as well as a search for the sterile neutrino mixing, among others. The most recent results from Daya Bay are discussed in this paper, as well as the current status and future prospects of the experiment.

AN OPEN-SOURCE CODE FOR NUMERICAL SIMULATION OF DRAINAGE BASIN DEVELOPMENT

2017 ◽  
Author(s):  
George H. Shaw ◽  
◽  
Howard D. Mooers ◽  
Josef Smrz ◽  
Zdenek Papez ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Open Source ◽  
Drainage Basin ◽  
Source Code ◽  
Open Source Code ◽  
Basin Development

scholarly journals Offline Software of RPC Detector System in Daya Bay Reactor Neutrino Experiment

2012 ◽  
Vol 396 (2) ◽  
pp. 022061 ◽  
Author(s):  
Qingmin Zhang ◽  
Miao He ◽  
Jilei Xu ◽  
Jiaheng Zou ◽  
Zhe Ning ◽  
...  
Keyword(s):  
Detector System ◽  
Daya Bay ◽  
Neutrino Experiment ◽  
Reactor Neutrino

Po River Morphodynamics Modelled with the Open-source Code iRIC

2018 ◽  
pp. 335-346 ◽  
Author(s):  
Michael Nones ◽  
Alessio Pugliese ◽  
Alessio Domeneghetti ◽  
Massimo Guerrero
Keyword(s):  
Open Source ◽  
Source Code ◽  
Po River ◽  
Open Source Code

scholarly journals Blogging Beyond the PDF

2010 ◽  
Author(s):  
Martin Fenner
Keyword(s):  
Knowledge Sharing ◽  
Open Source ◽  
Scientific Knowledge ◽  
San Diego ◽  
Source Code ◽  
Open Source Code

Four weeks ago I wrote about the Beyond the PDF workshop that is planned for January in San Diego. The goal of the workshop is to identify a set of requirements, and a group of willing participants to develop open source code to accelerate scientific knowledge sharing. ...

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