Gaussian Inflection Spline Interpolation Continuum (GISIC)
GISIC is a python package for normalization of astronomical spectra. It is designed to accommodate spectra with heavy molecular features due to high elemental abundance enhancements. GISIC performs a gaussian smoothing of the flux array, and identifies molecular bands based on a numerical gradient. Continuum points are then interpolated with a cubic spline.
Look how easy it is to use:
import GISIC
wave, norm_flux, continuum = GISIC.normalize(wave, flux, sigma=30)
Features
accomodates wide range of spectral resolutions via kernel width parameter
molecular band identification
Installation
pip install GISIC
Contribute
Source Code: github.com/DevinWhitten/GISIC
Support
If you are having issues, please let us know. We have a mailing list located at: devin.d.whitten@gmail.com
License
The project is licensed under the MIT license.
Metadata
Release files for GISIC 2.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| GISIC-2.0.5.tar.gz | 5.8 kB | Without provenance | Details for GISIC-2.0.5.tar.gz |
Release files / GISIC-2.0.5.tar.gz
| Download URL | GISIC-2.0.5.tar.gz |
|---|---|
| Size | 5.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
511e27a1142b63109eaeb417a86c0644fbcfabe8982481231f3047326be3fbdb
|
|
BLAKE2b-256 checksum How to use checksums |
16fcd256d710d376d4f99e165b1ccc8ddccc7842ec138acffb78315d7f145df0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.5
|
Security for GISIC 2.0.5
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.