Speaker
KA WENG LEI
(NTHU)
Description
Accurate determination of surface atomic positions relies on high-quality LEED I(V) data. This study show how to use Python to control a Raspberry Pi camera for capture LEED data. Furthermore, it shows how to fit the data to accurately extract the positions of LEED spots. In addition to obtaining high-precision lattice constants, this method also obtain I(V) curves of the diffraction spots, effectively integrating with theoretical simulation tools such as SATLEED and ViPErLEED, optimizing the preprocessing workflow for surface structure analysis.
Author
KA WENG LEI
(NTHU)