Line measuring algorithm for astronomical spectra
Project description
This library provides a comprehensive set of tools for fitting spectral lines in astronomical data. It is designed to offer a user-friendly workflow that scales seamlessly from single spectra to large datasets.
The package includes modules for masking data, line detection, profile fitting, plotting and saving measurements in multiple formats.
Installation
You can install LiMe from PyPi running the command:
pip install lime-stable
Moreover, if you want to install the optional dependencies for additional features and files support you can run:
pip install lime-stable[full]
Documentation
You can find the library documentation at lime-stable.readthedocs.io. In addition to the functions and measurements descriptions, you can download the documentation pages a notebooks from the github examples folder.
Citing
If you found LiMe useful, please remember to cite Fernández et al (2024) 📝.
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
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 lime_stable-2.2.dev1.tar.gz.
File metadata
- Download URL: lime_stable-2.2.dev1.tar.gz
- Upload date:
- Size: 215.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
233dfc06a42262bcaf822f6d207a0a365f92153cb2eeb142fdfee9cc9a209cae
|
|
| MD5 |
3ca9b8c717e1625df15b117d744c3acc
|
|
| BLAKE2b-256 |
0868ff3ce6cb5f846613e28e63fcfdf9cf3d9d43555dbdfa3e057dbd86f2cc65
|
File details
Details for the file lime_stable-2.2.dev1-py3-none-any.whl.
File metadata
- Download URL: lime_stable-2.2.dev1-py3-none-any.whl
- Upload date:
- Size: 205.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c845ce9bf7dbed17564880d34ab22f7fd94bc2521113bd4273ca4caf84245a7e
|
|
| MD5 |
af4bb8a0ff30e427e1b8dac8a9ebf942
|
|
| BLAKE2b-256 |
31c0e32596f179781016540409f83dd324d74fec364d3fc76e81a84dac0b5f8f
|
