jl_exp_deconv: A method for deconvoluting spectra
Project description
jl_exp_deconv
This module trains on known experimental pure-component spectra in order to deconvolute unknown mixture spectra.
License
jl_exp_deconv is licensed under the terms of the MIT license. See the file “LICENSE” for information on the history of this software, terms & conditions for usage, and a DISCLAIMER OF ALL WARRANTIES.
All trademarks referenced herein are property of their respective holders.
Copyright (c) 2019–, Joshua Lansford, The University of Delaware.
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
jl_exp_deconv-0.4.tar.gz
(1.6 MB
view details)
Built Distribution
File details
Details for the file jl_exp_deconv-0.4.tar.gz
.
File metadata
- Download URL: jl_exp_deconv-0.4.tar.gz
- Upload date:
- Size: 1.6 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e836ff8a85d77b89922ee7ad4fee19d73465e051e21f17eae25a32fe67a8f324 |
|
MD5 | 61b6477dee223fc33f5fb228774534d3 |
|
BLAKE2b-256 | 2382f1ac0848ed360fd87228dfea584eb1c1b8e8da7525aac435ae8604771d50 |
File details
Details for the file jl_exp_deconv-0.4-py3-none-any.whl
.
File metadata
- Download URL: jl_exp_deconv-0.4-py3-none-any.whl
- Upload date:
- Size: 1.6 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 61c1c2cf84953284b8187989abd04fa6acb52a333297f278eb4a9f4b7c437d3e |
|
MD5 | a4b0e04369e0fe14b55ffc1a727d05ca |
|
BLAKE2b-256 | d31f45cfc81acace1506b39df3db0e3ec4d937ff60c9b20ff902cf0f80d37935 |