Three-Dimensional Shapes of Spinning Helium Nanodroplets
- CXIDB
This repository contains data from an experiment at the LDM end station at FERMI FEL-1. The experimental details are described in Phys. Rev. Lett. 121, 255301; Langbehn et al (2018). In addition to the scattering data, the data file contains labels for a supervised machine learning task. These labels are subject of an upcoming publication about the applicability of neural networks within the domain of coherent diffraction imaging. The accompanying Python code for this paper can already be found at https://github.com/julian-carpenter/airynet.
- Research Organization:
- Coherent X-ray Imaging Data Bank (Lawrence Berkeley National Laboratory); MPI Berlin, FERMI
- Sponsoring Organization:
- MPI Berlin, FERMI
- DOE Contract Number:
- AC02-05CH11231
- OSTI ID:
- 1496209
- Report Number(s):
- CXIDB ID 94
- Country of Publication:
- United States
- Language:
- English
Three-Dimensional Shapes of Spinning Helium Nanodroplets
|
dataset | January 2019 |
Three-Dimensional Shapes of Spinning Helium Nanodroplets
|
journal | December 2018 |
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