ISIS Neutron and Muon Source Data Journal
This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.
Develeopment of the machine-learning data analysis for muSR
Abstract: The higher muon statistics is important to achieve the high-quality data. But when we slice the run time to be in a short time to investigate the time dependence of the dynamics, and when we use tiny samples, the data statics becomes very low. We are going to develop a new way to use those those low-static data by using the machine-learning technique. In order to trigger this new project, we propose to gather many low-static data sets in order to train machine-leanring program circuits.
Principal Investigator: Dr Isao Watanabe
Experimenter: Professor Takayuki Goto
Experimenter: Dr Dita Puspita Sari
Experimenter: Dr Wan Nurfadhilah Binti Zaharim
Experimenter: Professor Tadashi Adachi
Local Contact: Dr Stephen Cottrell
DOI: 10.5286/ISIS.E.RB2410307
ISIS Experiment Number: RB2410307
| Part DOI | Instrument | Public release date | Download Link |
|---|---|---|---|
| - | HIFI | 21 December 2027 | Download |
| 10.5286/ISIS.E.RB2410307-3 | HIFI | 19 March 2028 | Download |
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
Select the data format above to find
out more about it.
Data Citation
The recommended format for citing this dataset in a research
publication is as:
[author], [date], [title], [publisher],
[doi]
For Example:
Dr Isao Watanabe et al; (2024): Develeopment of the machine-learning data analysis for muSR, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2410307
Data is released under the CC-BY-4.0 license.
