Jscatter 1.9.0 Logo
  • 1. Beginners Guide / Help
    • 1.1. What are dataArray/dataList
    • 1.2. First basic examples
    • 1.3. Reading ASCII files
    • 1.4. Creating from numpy arrays
    • 1.5. Manipulating dataArray/dataList
    • 1.6. Indexing dataArray/dataList and reducing
    • 1.7. Fitting experimental data
    • 1.8. Why Fits may fail
    • 1.9. Plot experimental data and fit result
    • 1.10. Save data and fit results
    • 1.11. Additional stuff
  • 2. dataArray
    • 2.1. dataArray Class
    • 2.2. Attribute Methods
    • 2.3. Fit Methods
    • 2.4. Housekeeping Methods
    • 2.5. Convenience
  • 3. dataList
    • 3.1. dataList Class
    • 3.2. Attribute Methods
    • 3.3. Fit Methods
    • 3.4. Housekeeping Methods
  • 4. formel
    • 4.1. Functions
    • 4.2. Quadrature
    • 4.3. Distribution of parameters
    • 4.4. Parallel execution
    • 4.5. Utilities
    • 4.6. Centrifugation
    • 4.7. NMR
    • 4.8. Material Data
    • 4.9. Constants and Tables
  • 5. smallanglescattering (sas)
    • 5.1. SAS smear/desmear 1D
    • 5.2. SAS convenience
    • 5.3. 2D sasImage
    • 5.4. 2D sasImage convenience
    • 5.5. Housekeeping
  • 6. formfactor (ff)
    • 6.1. Form Factors
    • 6.2. Cloud of scatterers
  • 7. structurefactor (sf)
    • 7.1. Structure Factors
    • 7.2. Hydrodynamics
    • 7.3. Pair Correlation
    • 7.4. Lattice
  • 8. dynamic
    • 8.1. Transform between domains
    • 8.2. Time domain
    • 8.3. Frequency domain
  • 9. biomacromolecules (bio)
    • 9.1. MDA universe
    • 9.2. Formfactors
    • 9.3. Effective diffusion of rigid structures
    • 9.4. Intermediate scattering functions (ISF)
    • 9.5. Normal modes
  • 10. dls
    • contin()
    • contin_display()
    • readZetasizerNano()
  • 11. Plotting
    • 11.1. Using GracePlot
    • 11.2. Using matplotlib
  • 12. Examples
    • 12.1. In a nutshell
    • 12.2. Build models
    • 12.3. Fitting 1D, 2D 3D …
    • 12.4. References
    • 12.5. Analysis of SAS data
    • 12.6. Dynamic models
    • 12.7. Biomacromolecules (bio)
    • 12.8. Other stuff
  • 13. Intention/Extending
    • 13.1. Intention and Remarks
    • 13.2. Extending/Contributing/Fortran
  • 14. Installation
    • 14.1. Dependencies
    • 14.2. Standard “pip” installation/upgrade
    • 14.3. Linux
    • 14.4. macOS (Intel + Arm)
    • 14.5. Windows
    • 14.6. Jupyter Notebook
    • 14.7. Using a cluster/headless mode
    • 14.8. Testing
    • 14.9. Troubleshooting and tips
    • 14.10. Tips
  • 15. Citing Jscatter
  • 16. Changelog
Jscatter 1.9.0
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© Copyright 2015-2026, Ralf Biehl. Last updated on Jun 23, 2026.

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