Enhancing Precision in Stokes Parameters Measurement Using Rotating Wave Plate Calibration #sciencefather #researcher #stokesparameters

 

🔍 Enhancing Precision in Stokes Parameters Measurement Using Rotating Wave Plate Calibration

High-precision polarization measurements are essential in optics, remote sensing, and quantum communication. However, when using the Rotating Wave Plate (RWP) method for measuring Stokes parameters, various instrumental errors introduce significant measurement inaccuracies. ⚠️

🔧 The Calibration Challenge

Three primary sources of error hinder measurement accuracy:

• 🔄 Angle error of the polarizer's transmission axis

• ➕/➖ Azimuth error of the wave plate’s fast axis

• 🌀 Phase delay error of the wave plate

Traditional calibration methods often fail to account for these error parameters comprehensively, resulting in limited accuracy and reliability. 🚫📉

🧠 The Innovative Solution

To address these limitations, this study developed an error-transfer analytical model that thoroughly analyzes the error influence in the RWP-based Stokes measurement system. ✅

Key Advancements:

• 📊 Quantitative model linking device errors with measured Stokes vectors

• 🧩 Multi-angle polarized light calibration using:

  • Horizontal linear polarization: [1, 1, 0, 0]^T

  • 45° linear polarization: [1, 0, 1, 0]^T

• 🧮 Error equation system built by comparing theoretical vs. actual detector responses, enabling precise device parameter correction

🧪 Experimental Highlights

After implementing the proposed calibration technique:

• 🎯 Measurement error dropped dramatically from 4.83% ➡️ 0.46%

• 💡 This represents a 10x improvement in calibration precision!

• 🛠️ Effectively eliminates the limitations of traditional calibration methods

🌟 Why This Matters

This enhanced calibration method:

• ✅ Offers a simple yet robust model

• 🧾 Captures all key error contributors

• 🔬 Enables reliable, high-accuracy polarization detection

Whether you're working in optical metrology, polarimetric imaging, or quantum optics, this method delivers the precision required for cutting-edge applications. 🚀

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