Mirror of PyARPES (gitlab/lanzara-group/python-arpes) the open source ARPES analysis framework

Distributed data processing routines for multidimensional photoemission spectroscopy (MPES)

Probabilistic machine learning for reconstruction and parametrization of electronic band sturcture from photoemission spectroscopy data

ARPEScape is a MATLAB-based app that contains a set of tools and functions for analysing the electronic structure of materials using photoelectron spectroscopy (PES) techniques, such as X-ray photoelectron spectroscopy (XPS) and angle-resolved photoelectron spectroscopy (ARPES).

Code for preprocessing data from the HEXTOF instrument at FLASH, DESY in Hamburg (DE)

Periodic coupled-cluster Green's function for realistic solids

Symmetrization of 2D pattern using nonrigid landmark registration

Interactive tools for the visualization and analysis of multidimensional photoemission data

This PyQt app allows loading an image of a band structure and add a parabolic fit to calculate the effective mass

Distributed multicomponent lineshape fitting routines and benchmarks for multidimensional spectroscopy and spectral imaging

This project provides an interface simulating probed part of the BZ depending on the position of the slit and the setup parameters (rotation, tilt). It can be useful in the real beamtime which is very valuable.

This project enables the conversion of zip files from the Scienta-Omicron SES program into HDF5 format

Metadata logging and data curation for multidimensional photoemission spectroscopy (MPES)

Analysis software for photoemission data recorded using the NanoESCA III from SCIENTA OMICRON and FOCUS GmbH. Code written for use with Igor Pro 7 or later.

Simple Python library for loading and plotting MB Scientific ARPES detector data in both KRX and TXT format.