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arpes-analysis

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Analyze ARPES data: convert and view momentum

Data & Analytics#data-analysis#plotting#arpes#momentum-space#kspace#erlabpy#xarray
Authorkmnhan
Version1.0.0
Installs0

System Documentation

What problem does it solve?

ARPES data analysis can be complex and time-consuming; this Skill provides patterns and workflows for using ERLabPy to convert angle-space data to momentum-space and visualize results.

Core Features & Use Cases

  • Momentum conversion: convert angle-space data to momentum-space coordinates for ARPES experiments.
  • Visualization patterns: create informative plots using ERLabPy's plotting utilities to explore k-space maps.
  • Loading and preprocessing: demonstrates loading data from common file formats (e.g., Igor Pro) and preparing data for analysis.

Quick Start

Load a sample ARPES dataset, run the momentum-space conversion with data.kspace.convert(), and visualize the resulting map with a plotting utility (e.g., eplt.plot_array).

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: arpes-analysis
Download link: https://github.com/kmnhan/erlabpy/archive/main.zip#arpes-analysis

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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