CBED Simulation
Generate realistic-looking CBED images from crystal definition and orientation.
Diffraction spot positions are generated with kinematic or dynamical simulations, and images are built using compositing. Image properties (like shot noise, saturation, texture, ...) can be influenced using a small number of parameters.
Basic usage in make_frame.ipynb.
Metadata
Release files for cbed-simulation 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cbed_simulation-0.0.1.tar.gz | 439.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cbed_simulation-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 471.6 kB
Release files / cbed_simulation-0.0.1.tar.gz
| Download URL | cbed_simulation-0.0.1.tar.gz |
|---|---|
| Size | 439.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
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Release files / cbed_simulation-0.0.1-py3-none-any.whl
| Download URL | cbed_simulation-0.0.1-py3-none-any.whl |
|---|---|
| Size | 32.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|