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During my research on thin films, I performed X-ray diffraction (XRD) analysis and received data in .ras files. To analyze this data in Origin, I needed to extract the 2theta and intensity values. To streamline this process, I created a Jupyter notebook for easy extraction of the required data into a new Excel file.

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XRD Data Extraction from .ras Files

During my research on thin films, I performed X-ray diffraction (XRD) analysis and received data in .ras files. To analyze this data in Origin, I needed to extract the 2theta and intensity values. To streamline this process, I created a Jupyter notebook for easy extraction of the required data into a new Excel file.

Features

  • Upload .ras files directly in the notebook
  • Extract data starting from the 345th row
  • Save the extracted data into new Excel files with columns named 2theta and intensity

Requirements

  • Python 3.x
  • pandas
  • openpyxl
  • Google Colab (for running the notebook)

Usage

Open This Notebook in Google Colab

Open in Colab

Upload and Process Files

  1. Run the notebook cells to upload your .ras files.
  2. The notebook will process each file and save the results as separate Excel/.ras files.

About

During my research on thin films, I performed X-ray diffraction (XRD) analysis and received data in .ras files. To analyze this data in Origin, I needed to extract the 2theta and intensity values. To streamline this process, I created a Jupyter notebook for easy extraction of the required data into a new Excel file.

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