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huang-turbulence-spectrum

Analyze solar wind 1/f turbulence spectrum formation and evolution using Parker Solar Probe and Solar Orbiter data.

1|Updated Apr 25, 2026
Search Tags:#turbulence#solar wind#1/f range#dynamic spectrum#Alfvénicity
One-click install
npx skills add https://github.com/huangzesen/zesen-huang --skill huang-turbulence-spectrum
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: huang-turbulence-spectrum
Source: https://github.com/huangzesen/zesen-huang/tree/main/huang-zesen/huang-turbulence-spectrum
Command: npx skills add https://github.com/huangzesen/zesen-huang --skill huang-turbulence-spectrum

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, scipy, matplotlib, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the problem of understanding the formation and evolution of the 1/f turbulence spectrum in solar wind, particularly the dynamics of the spectrum formation near the Sun and its evolution as the solar wind expands.

Core Features & Use Cases

  • Solar Wind Turbulence Analysis: Investigates the 1/f range in solar wind turbulence.
  • Dynamic Spectrum Formation: Provides insights into the dynamic formation of the 1/f range as the solar wind expands.
  • Spectral Index Evolution: Analyzes the evolution of the spectral index with increasing distance from the Sun.
  • Alfvénicity Dependence: Evaluates the role of Alfvénicity in turbulence spectral evolution.
  • Two Types of 1/f Range: Classifies the 1/f range into two types based on its physical origin and evolution.
  • Use Case: Researchers can utilize this Skill to compare their findings with Huang's observations and theory on solar wind turbulence spectrum, especially focusing on the dynamic nature of the 1/f range and the role of Alfvénicity.

Quick Start

Utilize the huang-turbulence-spectrum Skill to analyze a specific segment of the solar wind and identify the type of 1/f range it represents.

Frequently Asked Questions about huang-turbulence-spectrum

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

FAQPage Schema
How does the 1/f turbulence spectrum form in the solar wind near the Sun?▼

The 1/f turbulence spectrum forms dynamically as the solar wind expands from the Sun. This Skill analyzes its formation and evolution, specifically evaluating how Alfvénicity influences the spectral index evolution.

How can I classify the 1/f range in solar wind turbulence data?▼

You can classify the 1/f range into fast/Alfvénic and slow/mixed types. This Skill analyzes a specific solar wind segment to identify its 1/f range type based on physical origin and evolution.

Can I analyze Parker Solar Probe turbulence data using numpy and scipy?▼

Yes, you can analyze Parker Solar Probe data with this Skill. It relies on numpy, scipy, and matplotlib to assess turbulence spectrum dynamics and evaluate Alfvénicity dependence.

What is the role of Alfvénicity in the evolution of the solar wind turbulence spectrum?▼

Alfvénicity plays a critical role in turbulence spectral evolution by differentiating the 1/f range. This Skill assesses this dependence to classify the spectrum into fast/Alfvénic and slow/mixed types.

How do I track spectral index evolution with increasing distance from the Sun?▼

To track spectral index evolution, you analyze solar wind dynamics using Parker Solar Probe and Solar Orbiter data. This Skill provides insights into the dynamic formation of the 1/f range during expansion.

Does this turbulence spectrum analysis support Solar Orbiter measurements?▼

Yes, this turbulence spectrum analysis supports Solar Orbiter measurements. It employs Solar Orbiter data alongside Parker Solar Probe data to analyze the 1/f range and spectral index evolution.

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