Utility for reading raw data files produced by the prototype EMPAD-G2.
Currently, to install you must download the source from git and install using pip. A simple way to do this (assuming you have git avaialble) is:
pip install git+https://github.com/sezelt/empad2Loading an EMPAD2 dataset requires two .raw files, one for the background, and one for the experiment, plus a number of calibration files.
At the moment, the calibration files for the one existing sensor are packaged with the repo and do not need to be explicitly loaded. This may change in the future.
First, load the calibration files for your sensor ("cryo-titan" or "andromeda" are included with the package):
import empad2
calibrations = empad2.load_calibrations("andromeda")
# Then, load the background data:
background = empad2.load_background("/path/to/background/file.raw", calibration_data=calibrations)Then use the background to import experimental datasets:
dataset = empad2.load_dataset("/path/to/experiment.raw", background, calibrations)If the scan region is square, the shape is automatically detected. If the shape cannot be detected, specify it manually:
dataset = empad2.load_dataset("/path/to/experiment.raw", background, calibrations, shape=(256,256))GNU GPLv3
empad2 is open source software distributed under a GPLv3 license. It is free to use, alter, or build on, provided that any work derived from empad2 is also kept free and open.