Kernel Approximation to Raman Spectra
Project description
kars: Kernel Approximation of Raman Spectra
kars is a python package for kernel approximations to spectra, and in particular, coherent-antistokes raman spectroscopy. For example kars can create quick approximations using library of output spectra from CARSFT.
Software
- Our python package
karsis available on pypi.
Vignettes
- A basic vignette of how to use
karswith a library of CARSFT data is available in as jupyter notebook | python script | markdown | html - The data is available here: spectra.csv params.csv wn.csv
Papers
1. "Adaptive Modeling Powers Fast Multi-parameter Fitting of CARS Spectra"
- Our publication is available on arXiv here
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
kars-0.0.0.9000.tar.gz
(3.2 kB
view details)
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
kars-0.0.0.9000-py3-none-any.whl
(16.6 kB
view details)
File details
Details for the file kars-0.0.0.9000.tar.gz.
File metadata
- Download URL: kars-0.0.0.9000.tar.gz
- Upload date:
- Size: 3.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dc50c5a1569f7e0b06d56492c51e20becfd686f304641587a0dcacddb32c121c
|
|
| MD5 |
95ad823d9bc4d09d99524a1fcf0ad643
|
|
| BLAKE2b-256 |
ef3e195bd9905a8c6970f9222a214afc3a1c4657b1cd4bbe1c145afca5f70fc6
|
File details
Details for the file kars-0.0.0.9000-py3-none-any.whl.
File metadata
- Download URL: kars-0.0.0.9000-py3-none-any.whl
- Upload date:
- Size: 16.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6173a19cf8e9288c09dde01741a517cac66f4f748880da6bbb822464c9c4e39f
|
|
| MD5 |
abef57746570053768e72c2a137ef772
|
|
| BLAKE2b-256 |
f8b86733666075ffebc00cf0b0c2e17558d09e435f142e2517b43e68646a8fd7
|