reflectometry-basics

Explain neutron reflectometry concepts, R(Q) curve interpretation, and SLD profiles.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/mdoucet/analyzer --skill reflectometry-basics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reflectometry-basics
Source: https://github.com/mdoucet/analyzer/tree/main/skills/reflectometry-basics
Command: npx skills add https://github.com/mdoucet/analyzer --skill reflectometry-basics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides an accessible domain primer on neutron reflectometry, explaining what the technique measures, how to interpret results (e.g., SLD profiles, R(Q)), and how to assess data quality and communication of findings.

Core Features & Use Cases

  • Clarifies the physical meaning of reflectometry concepts, SLD, and layer-model basics to support learning.
  • Guides interpretation of experimental data and results to users, enabling clear explanations and reporting.
  • Use Case: a student or researcher new to reflectometry can quickly grasp what the data means and how to discuss it with collaborators.

Quick Start

Ask for a concise explanation of what a given R(Q) curve implies about the sample structure and SLD interpretation.

Frequently Asked Questions about reflectometry-basics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is neutron reflectometry and what does it measure?

Neutron reflectometry measures how a neutron beam reflects off surfaces and interfaces. It determines the scattering length density (SLD) profile perpendicular to a sample, revealing thin-film layer structures and thicknesses.

How do I interpret an R(Q) curve from neutron reflectometry data?

To interpret an R(Q) curve, analyze how reflected intensity varies with the momentum transfer Q. Fringes and decay rates indicate layer thickness, roughness, and SLD contrasts, which map to the sample's structural model.

What does a scattering length density (SLD) profile tell me about my sample?

An SLD profile reveals the spatial distribution of nuclear composition across your sample. It identifies distinct material layers, their thicknesses, and interfacial roughness, enabling clear structural communication of findings.

How do I explain neutron reflectometry results to collaborators?

Explain reflectometry results by connecting R(Q) curve features to SLD profile changes. Describe how structural parameters like layer thickness and roughness correspond to the physical sample properties observed.

Can I use this to learn model fitting basics for reflectivity data?

Yes, this covers model-fitting basics by explaining how layer structures produce specific reflectivity responses. It provides the conceptual foundation needed to understand how models map to experimental R(Q) curves.

What are the limitations of learning reflectometry from a conceptual primer?

This conceptual primer focuses on interpretation and communication guidelines without tool execution instructions. It does not perform data processing or run model-fitting software, serving strictly as an educational domain reference.