Fitting package aimed at laser spectroscopy
Project description
SATLAS2 -- Statistical Analysis Toolbox for Laser Spectroscopy Version 2
Purpose
Contributors:
- Ruben de Groote (ruben.degroote@kuleuven.be)
- Wouter Gins (wouter.gins@kuleuven.be)
- Bram van den Borne (bram.vandenborne@kuleuven.be)
An updated version of the satlas package. A different architecture of the code is used, resulting in a speedup of roughly 2 orders of magnitude in fitting, with increased support for simultaneous fitting and summing models. Documentation can be found here.
Dependencies
This package makes use of the following packages:
Only Python 3.x is supported! Parts of the code have been based on other resources; this is signaled in the documentation when this is the case. Inspiration has been drawn from the triangle.py script, written by Dan Foreman-Mackey et al., for the correlation plot code.
Installation
A package is available on PyPi, so 'pip install satlas2' should provide a working environment.
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 satlas2-0.2.8.tar.gz.
File metadata
- Download URL: satlas2-0.2.8.tar.gz
- Upload date:
- Size: 31.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.1 CPython/3.9.21 Linux/6.8.0-1021-azure
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6335832fd0127c49ffa0d1956ca57f4c4814d4a8a9bfbbfc8f4dc877592490f1
|
|
| MD5 |
d53de8696babaa5a8f52930ba5741a72
|
|
| BLAKE2b-256 |
27831a25132552b3fc2c321d852e139ae529c79bc05da27b5745aba20e10781e
|
File details
Details for the file satlas2-0.2.8-py3-none-any.whl.
File metadata
- Download URL: satlas2-0.2.8-py3-none-any.whl
- Upload date:
- Size: 35.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.1 CPython/3.9.21 Linux/6.8.0-1021-azure
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6c2f050816940de68a7f26b0c99427f21672c970024fbfa73076d9aa368ae3e6
|
|
| MD5 |
c99f9c57a57adf30cc004223d0c42237
|
|
| BLAKE2b-256 |
8fb025e6acda554150184b7e0aa642f428db5ff3107c54501614cba9e0eb9a55
|
