kodi-analysis | Code used to analyze KoDI data
kandi X-RAY | kodi-analysis Summary
kandi X-RAY | kodi-analysis Summary
kodi-analysis is a Python library. kodi-analysis has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However kodi-analysis build file is not available. You can download it from GitHub.
code for analyzing penumbral imaging, and in particular knock-on deuteron & x-ray imaging. the file structure goes like this: - src – various python scripts - main – java files for some of the more time-consuming operations - data – input files (including the file shots.csv) - scans – cr-39 and image plate scan files - tables – stopping power and cross section tables - results – outputs from the analysis (including logs and tables and stuff) - plots – pretty pictures of the reconstructions - data – hdf files of the reconstructions - tmp – dump for temporary files used to communicate between java and python. the typical workflow for doing 2d reconstructions looks like this: 1. get .cpsa files from the lle or mit etch/scan lab. 2. open them in analyzecr39 and export the track data to a .txt file. (in the future i will have this automatically read cpsa) 3. create a shot_list.csv file in the root kodi-analysis directory that lists the shots and lines of sight to analyze. it should have "shot number", "tim", "l1", "magnification", "aperture radius", "aperture separation", "rotation", "filtering", and "etch time" columns. 4. run src/reconstruct_2d.py shot_number [--skip] with the shots you want to analyze passed as an
code for analyzing penumbral imaging, and in particular knock-on deuteron & x-ray imaging. the file structure goes like this: - src – various python scripts - main – java files for some of the more time-consuming operations - data – input files (including the file shots.csv) - scans – cr-39 and image plate scan files - tables – stopping power and cross section tables - results – outputs from the analysis (including logs and tables and stuff) - plots – pretty pictures of the reconstructions - data – hdf files of the reconstructions - tmp – dump for temporary files used to communicate between java and python. the typical workflow for doing 2d reconstructions looks like this: 1. get .cpsa files from the lle or mit etch/scan lab. 2. open them in analyzecr39 and export the track data to a .txt file. (in the future i will have this automatically read cpsa) 3. create a shot_list.csv file in the root kodi-analysis directory that lists the shots and lines of sight to analyze. it should have "shot number", "tim", "l1", "magnification", "aperture radius", "aperture separation", "rotation", "filtering", and "etch time" columns. 4. run src/reconstruct_2d.py shot_number [--skip] with the shots you want to analyze passed as an
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kodi-analysis has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
kodi-analysis has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of kodi-analysis is current.
Quality
kodi-analysis has no bugs reported.
Security
kodi-analysis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
kodi-analysis is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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kodi-analysis releases are not available. You will need to build from source code and install.
kodi-analysis has no build file. You will be need to create the build yourself to build the component from source.
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kodi-analysis Key Features
No Key Features are available at this moment for kodi-analysis.
kodi-analysis Examples and Code Snippets
No Code Snippets are available at this moment for kodi-analysis.
Community Discussions
No Community Discussions are available at this moment for kodi-analysis.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install kodi-analysis
You can download it from GitHub.
You can use kodi-analysis like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use kodi-analysis like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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