CXIDB ID 94
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)

Description

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 https://github.com/julian-carpenter/airynet.

Licensed under the CC0 Public Domain Dedication Waiver.

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