Skip to main content

Explore, analyze, visualize Angle Resolved Photoemission Spectroscopy (ARPES) data.

Project description

ARPES Python Tools

Python tests status Deploy gh-pages status Latest Release

This python library helps you load, analyze and visualize ARPES data.

Quick start

Install latest stable version:

pip install --upgrade arpespythontools

Import and start using:

import arpespythontools as arp

data, energy, angle = arp.load_ses_spectra("sample_spectrum.txt")
data_k, e_bin, k = arp.k_conv(data, energy, angle, 16.67)

Please find the detailed documentation here: https://pranabdas.github.io/arpespythontools/

Development

Run tests locally:

python3 -m unittest tests.py

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

arpespythontools-1.0.2.tar.gz (12.2 kB view hashes)

Uploaded Source

Built Distribution

arpespythontools-1.0.2-py3-none-any.whl (20.2 kB view hashes)

Uploaded Python 3

Supported by

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