NoisySignalIntegration.jl
NoisySignalIntegration.jl: A Julia package for uncertainty evaluation of numeric integrals - Published in JOSS (2021)
Science Score: 95.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in JOSS metadata -
○Academic publication links
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1 of 3 committers (33.3%) from academic institutions -
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✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
Scientific Fields
Repository
A tool to determine uncertainty in numeric integrals of noisy x-y data.
Basic Info
- Host: GitHub
- Owner: nluetts
- License: mit
- Language: Julia
- Default Branch: master
- Homepage: https://nluetts.github.io/NoisySignalIntegration.jl/dev/
- Size: 14.7 MB
Statistics
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 2
- Releases: 4
Topics
Metadata Files
README.md
NoisySignalIntegration.jl
A tool to determine uncertainty in numeric integrals of noisy x-y data.
NoisySignalIntegration implements a method to determine the uncertainty in
numeric integrals of noisy x-y data on the basis of a Monte-Carlo process. It
can include uncertainty due to noise, baseline subtraction, and placement in
integration bounds. To do this, the integration is repeated many times while
the noise of the data, baseline, and integration bounds are varied based on a
noise model and user supplied probability distributions.
To view the documentation, click the badge below:
Installation
The package is not yet registered in Julia's general package registry, you have to install it directly from this Github repository.
To install it for your project, enter the package mode in the Julia REPL (press ]) and type:
add https://github.com/nluetts/NoisySignalIntegration.jl
While still in package mode, you can type
test NoisySignalIntegration
to run the package's unit tests.
Getting Started
Check out the documentation to learn how to use the package.
If you don't have a local Julia installation, you can test the package on mybinder.org. Click the badge below and open one of the example notebooks:
Contributing and Support
If you have problems with the package, submit an issue. Feel free to fork the project and open a pull request if you would like to contribute.
Owner
- Login: nluetts
- Kind: user
- Repositories: 3
- Profile: https://github.com/nluetts
JOSS Publication
NoisySignalIntegration.jl: A Julia package for uncertainty evaluation of numeric integrals
Authors
Georg-August-University Göttingen, Institute of Physical Chemistry, Tammannstraße 6, DE-37077 Göttingen
Editor
Mehmet Hakan Satman
Tags
chemistry physics measurement uncertainty noisy data numeric integrationGitHub Events
Total
- Push event: 1
- Create event: 1
Last Year
- Push event: 1
- Create event: 1
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Nils Luettschwager | l****r@m****g | 51 |
| Nils Luettschwager | n****s@g****e | 49 |
| Nils Luettschwager | n****r@c****e | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 7
- Total pull requests: 4
- Average time to close issues: 10 months
- Average time to close pull requests: about 1 hour
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 0.57
- Average comments per pull request: 0.25
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- nluetts (7)
Pull Request Authors
- nluetts (7)