.. _User_Guide:

User Guide
===========

NRSS Model Usage
---------------

The NRSS (Neutron and Resonant Soft X-ray Scattering) model is a powerful tool for simulating and analyzing scattering data. This guide covers the key aspects of using NRSS effectively.

Core Components
^^^^^^^^^^^^^^

1. Morphology Definition
   - Use the ``Morphology`` class to define your system structure
   - Support for various geometries including disks, spheres, and custom shapes
   - Define material properties and spatial arrangements

2. Material Properties
   - Complex refractive indices from experimental data or theoretical calculations
   - Support for both scalar and tensor (uniaxial) optical constants
   - Integration with KKcalc for optical constant determination

3. Simulation Parameters
   - Energy range selection for resonant scattering
   - Q-range configuration for scattering profiles
   - Resolution and accuracy settings

Common Workflows
^^^^^^^^^^^^^^^^

1. Basic Simulation
   - Define system morphology
   - Set material properties
   - Configure simulation parameters
   - Run simulation and analyze results

2. Parameter Sweeps
   - Systematic variation of model parameters
   - Analysis of parameter effects on scattering
   - Optimization of model parameters

3. Data Analysis
   - Comparison with experimental data
   - Model refinement and validation
   - Extraction of structural parameters

Advanced Features
^^^^^^^^^^^^^^^^

1. Custom Model Development
   - Creating specialized geometric models
   - Implementing new material property calculations
   - Advanced parameter sweep strategies

2. Visualization Tools
   - 2D and 3D structure visualization
   - Scattering pattern analysis
   - Parameter sweep result visualization

Best Practices
^^^^^^^^^^^^^

1. Model Selection
   - Choose appropriate geometric models
   - Consider computational efficiency
   - Validate assumptions

2. Parameter Optimization
   - Start with reasonable initial guesses
   - Use systematic parameter sweeps
   - Validate results against physical constraints

3. Performance Considerations
   - Optimize mesh resolution
   - Use efficient parameter sweep strategies
   - Balance accuracy and computation time

For detailed examples and implementations, refer to the tutorial notebooks in the documentation.

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   pyhyper