Glassure

Contents:

  • Introduction
  • Installation
  • API - Quickstart
  • Theoretical Background
  • Example Notebooks
    • Effect of S(Q) extrapolation to zero on resulting PDFs
    • Effect of Q\(_{min}\) of S(Q) on the resulting F(r) and g(r)

API Documentation

  • glassure package
Glassure
  • Example Notebooks
  • View page source

Example Notebooks

This directory contains Jupyter notebooks that demonstrate how to use the Glassure API in your own scripts and programs.

  • Effect of S(Q) extrapolation to zero on resulting PDFs
    • 1. Effect on S(Q)
    • 2. Effect on F(r) and g(r)
  • Effect of Q\(_{min}\) of S(Q) on the resulting F(r) and g(r)
    • 1. Working with a toy S(q)
    • 2. Let’s do the same with real data
    • 2.1 Extrapolation prior to Optimization
      • 2.1.1 Original data
      • 2.1.2 Effect to F(r) and g(r)
    • 2.2 Optimization prior to Extrapolation
      • 2.2.1 Original Data
      • 2.2.2 Changes in F(r) and g(r)
    • 2.3 Cutting the original data at different minimum q
      • 2.3.1 Using linear Extrapolation
      • 2.3.2 Using polynomial extrapolation
      • 2.3.2 Set S(Q) to zero or s0 below Q\(_{min}\)
    • 3. Conclusion
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© Copyright 2025, Clemens Prescher.

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