Optimization-based proximity effect correction
Project description
The pecpy library provides an implementation of the proximity effect correction (PEC) scheme proposed in [1]. Examples are bundled with the source code in
pecpy/examples
If you use this package in your research, please cite the original publication. If you use Windows, I can recommend [2] for obtaining pre-compiled versions of fftw, shapely, and opencv. Note that the latter two packages are only needed for the gds <-> image mapping.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pecpy-0.7.tar.gz.
File metadata
- Download URL: pecpy-0.7.tar.gz
- Upload date:
- Size: 15.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/38.4.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
345d6bec206da67c8ccd61038be4ad66ad5b0e5259871eda7f81bbcd474e88d2
|
|
| MD5 |
0d7024a6f151db3d2e8e19dabcd62281
|
|
| BLAKE2b-256 |
2d0d719a8b51cb85792731f01518e66a6afb57f9bce51acfeeef081505479cad
|
File details
Details for the file pecpy-0.7-py3-none-any.whl.
File metadata
- Download URL: pecpy-0.7-py3-none-any.whl
- Upload date:
- Size: 15.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/38.4.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2c1c7a67350215e57e1f01fc5adc6f519410ce59f9378c0a15b5b09f63c07238
|
|
| MD5 |
f32776300b8ee0fdd818bd0b79188ae1
|
|
| BLAKE2b-256 |
4468be3081f42c7109d3834e21ede0ba29cce8b3659fc47e01b66aa660e4741d
|