Many XRD programs can read this .ASC file and then export it to .xrdml . Considerations for "Solid Piece" (Bulk) Samples
: Defines the measurement type (e.g., continuous or step scan), scan axis, and active step size.
A high-quality conversion ensures that data precision is maintained, metadata is preserved, and the file structure adheres strictly to the PANalytical XRDML schema. Understanding the Target: The XRDML Schema
import pandas as pd from pylatus.xrd import save_as_xrdml # Alternative library convert excel to xrdml high quality
: Contains the start, end, or full list of angles.
Simply copying and pasting data isn't enough. To ensure conversion that preserves your data integrity and makes it readable by analysis software, you need a structured approach.
: Remove all blank cells, non-numeric strings, and negative values. If your detector recorded negative noise fluctuations, truncate them safely to 0 or 1 . 3. Method 1: Automating High-Quality Conversion with Python Many XRD programs can read this
If you do not have immediate access to high-end diffraction software, dedicated converters can bridge the gap.
Before we discuss the how , we must address the why . A "low quality" XRDML file is worse than useless—it risks invalidating your phase identification.
A robust, widely used desktop utility specifically designed to convert between inter-laboratory powder diffraction formats. You can export your Excel sheet as a .csv or text file, load it into PowDLL, and set the output profile to Panalytical XRDML. This guarantees that the appropriate schema definitions are automatically mapped without manual programming. Understanding the Target: The XRDML Schema import pandas
⭐⭐⭐⭐⭐ Pros: Preserves all metadata, no interpolation errors. Cons: Expensive software ($10k+ license).
: The actual core container holding the numerical arrays.
If you would like, I can help you customize the Python script for your project. Let me know: What or spreadsheet tool you are using