Deposition Summary
Depositor: Julian Zimmermann
Contact: [email protected]
Deposition date: 2019-02-25
Last modified: 2019-08-19
DOI: 10.11577/1496209
Publication Details
Title: Three-Dimensional Shapes of Spinning Helium Nanodroplets
Authors: Bruno Langbehn et al.
Journal: Physical Review Letters
Year: 2018
DOI: 10.1103/PhysRevLett.121.255301
Experimental Conditions
Method: Coherent Diffraction Imaging
Sample: Superfluid Helium Nanodroplets
Wavelength: between 19 eV and 35 eV
Lightsource: FERMI FEL-1
Beamline: LDM
Data Files
CXI File: helium_nanodroplets_with_labels_zimmermann.cxi (14.57 GB)


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 the publication Phys. Rev. E 99, 063309; Zimmermann et al (2019) about the applicability of neural networks within the domain of coherent diffraction imaging. The accompanying Python code for this paper can be found at

Licensed under the CC0 Public Domain Dedication Waiver.

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