Skip to main content

LLWP is a fast, efficient and easy solution for exploring and assigning spectra - relying on Loomis-Wood plots.

Project description

LLWP - Luis' Loomis-Wood Program

LLWP allows you to efficiently and confidently assign (typically rotational or rovibrational) spectra by relying on Loomis-Wood plots.

A quickstart guide is given down below. For more information see LLWP's website.

If you want to acknowledge LLWP, please cite the paper LLWP - A new Loomis-Wood software at the example of Acetone-13C1.

Feel free to contact me in case of any problems or for feature requests.

Quickstart Guide

The preferred way to install LLWP is via Python's package manager pip. Run the following command in a terminal to install LLWP:

pip install llwp

After installing LLWP via pip you can run it from any terminal by simply running

llwp

To see and assign your first series

  1. open your spectrum and prediction files via drag and drop or Files > Add Files
  2. specify the correct reference series in the Reference Series window
  3. choose the fitfunction under Fit > Choose Fit Function
  4. select the area around the experimental peak with the mouse to fit the data

ASAP Mode

To start the ASAP mode of LLWP run

asap

To see and assign your first cross-correlation peaks

  1. open your spectrum, *.egy, and *.cat file via drag and drop or Files > Add Files
  2. specify the correct energy levels in the ASAP Settings window
  3. specify the correct unit conversion factor for the *.cat file in the Units Cat File field (e.g. 3.335641e-05 for *.cat file in MHz and *.egy file in wavenumbers)
  4. press Calculate Cross Correlation
  5. choose the fitfunction under Fit > Choose Fit Function
  6. select the area around the experimental peak with the mouse to fit the data

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

llwp-2.0.38.tar.gz (81.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

llwp-2.0.38-py3-none-any.whl (81.3 kB view details)

Uploaded Python 3

File details

Details for the file llwp-2.0.38.tar.gz.

File metadata

  • Download URL: llwp-2.0.38.tar.gz
  • Upload date:
  • Size: 81.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.1

File hashes

Hashes for llwp-2.0.38.tar.gz
Algorithm Hash digest
SHA256 8ca23e7a04e6ec2082fb00fa5d73d57333710d0ef34ce0cc8f329ecef3af7eec
MD5 108f0533ea7302aea865c2d6884e5063
BLAKE2b-256 093e5360eb40d7186efb349709514d7b31b277a9336807cd77bb280a1c327c38

See more details on using hashes here.

File details

Details for the file llwp-2.0.38-py3-none-any.whl.

File metadata

  • Download URL: llwp-2.0.38-py3-none-any.whl
  • Upload date:
  • Size: 81.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.1

File hashes

Hashes for llwp-2.0.38-py3-none-any.whl
Algorithm Hash digest
SHA256 a9ba81a4d4bb536789cd1a312480d60b12337194ed12f51231086ecc261b8b2b
MD5 2b42a10707299cded26d57e7dbbcf835
BLAKE2b-256 67e9e1f925f6a27b5465cc70ea3b3e8613f34d277dfbf8f4dcf944704a41170f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page