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PythonReactSEOPDF
GitHub Skill

check-physics

実装内容が数学的・物理学的に妥当か検証する

tatsuki-washimi☆ 0 Repository stars0 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

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Skill instructions

Verify Physics

This skill performs a review of the code specifically focusing on physics and math correctness.

Instructions

  1. Dimensional Analysis:

    • Check if unit handling (e.g., astropy.units, quantities) is used correctly.
    • Ensure operations are physically valid (e.g., not adding Length to Time).
    • Unit-Safe Assignment: Avoid direct slice assignment series[:] = raw_array if series has units. Use series.value[:] = raw_array to update data while preserving unit metadata.
  2. Mathematical Inspection:

    • Verify equations against known reference papers or standard textbooks.
    • Check for numerical stability issues (e.g., division by zero, floating point precision loss).
    • Check edge cases (e.g., $f=0$, infinite limits).
  3. Sanity Checks:

    • Conservation Laws: Create a script to verify energy conservation (Parseval's theorem) for FFT/PSD transformations. Ratio of frequency-domain energy to time-domain energy should be ~1.0.
    • Theoretical Benchmarks: Use known signals (Sine wave, Gaussian noise) to verify peak frequency, amplitude, and spectral flatness.
    • Multi-domain Verification: For multi-dimensional fields, verify transformations along all applicable axes (e.g., spatial FFT as well as temporal FFT).
    • Verify that reasonable inputs produce physically reasonable outputs.
  4. Report:

    • Provide a summary of the analysis, pointing out any suspect logic or confirming validity.

Examples

Read the usage examples in the source repository.

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Source history

Indexed on
2026-01-20
Index updated
2026-01-26
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

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