Skip to main content

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

Metadata

Release files for llwp 2.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for llwp 2.1.2
File Size Uploaded Provenance
llwp-2.1.2.tar.gz 462.2 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for llwp 2.1.2
File Interpreter ABI Platform
llwp-2.1.2-py3-none-any.whl Python 3 none any Details

Total release size: 922.9 kB

Release files / llwp-2.1.2.tar.gz

Download URL llwp-2.1.2.tar.gz
Size 462.2 kB
Tags Source
SHA-256 checksum
How to use checksums
9d5ab448a180abd5ab05dd94b706d3e425f65862a623a57bd6b51ff2190d131d
BLAKE2b-256 checksum
How to use checksums
75fd09e6a722c116e4a65b0f68f32b980e13c9599fb373fec1ca37abdd201bfe
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.0.1 CPython/3.13.0

Release files / llwp-2.1.2-py3-none-any.whl

Download URL llwp-2.1.2-py3-none-any.whl
Size 460.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
dc01c045d7b70278711772a6b227eb711ccaa2222ae953f9365a4c94b9d40906
BLAKE2b-256 checksum
How to use checksums
d5085a3f3f0e60826e96e205637a928487af04e340fbf6a612d4f6d418b95fda
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.0.1 CPython/3.13.0

Security for llwp 2.1.2

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.

Release history Release notifications | RSS feed

This release

2.1.2 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page