package for TRXAS pre-fitting process
Project description
TRXASprefitpack: package for TRXAS pre-fitting process which aims for the first order dynamics
version: 0.4.3
Copyright: (C) 2021 Junho Lee (@pistack) (Email: pistatex@yonsei.ac.kr)
Licence: LGPL3
Features
-
Utilites
- auto_scale: match the scaling of energy scan and time scan data
- broadenig: voigt broadening your theoritical calculated line spectrum
- fit_static: fitting experimental ground state spectrum using voigt broadened theoritical calculated line spectrum
- fit_tscan: fitting time delay scan data with the sum of exponential decays convolved with gaussian, lorenzian(cauchy), pseudo voigt instrument response function
-
libraries
- See source documents Docs
How to get documents for TRXASprefitpack package
-
From www web
- Docs are hosted in readthedocs
-
From TRXASprefitpack_info utility
- If you already installed TRXASprefitpack then just type
TRXASprefitpack_info
- Otherwise, type
python3 ./bin/TRXASprefitpack_info.py
- If you already installed TRXASprefitpack then just type
-
From source
- go to docs directory and type
- for windows:
./make.bat
- for mac and linux:
make
- for windows:
- go to docs directory and type
How to install TRXASprefitpack package
- Easy way
pip install TRXASprefitpack
- Advanced way (from release tar archive)
- Downloads release tar archive
- unpack it
- go to TRXASprefitpack-* directory
- Now type
pip install .
- Advanced way (from repository)
git clone https://github.com/pistack/TRXASprefitpack
cd TRXASprefitpack
python3 -m build
cd dist
- unpack tar gzip file
- go to TRXASprefitpack-* directory
pip install .
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
TRXASprefitpack-0.4.3.tar.gz
(36.6 kB
view hashes)
Built Distribution
Close
Hashes for TRXASprefitpack-0.4.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3377c1b5fae105c58956187591424d9f1ed171d4e29b4a5673702b2cf8ffc227 |
|
MD5 | 3fdfd8d62fdc67dbf4d16f3853619382 |
|
BLAKE2b-256 | bf0ea87eb7617669449ac5efbff2a8fabf26e39beeb07d9903dec53cf66715a7 |