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Title: Three-Dimensional Shapes of Spinning Helium Nanodroplets

Abstract

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.

Creator(s)/Author(s):
Publication Date:
Other Number(s):
CXIDB ID 94
DOE Contract Number:  
AC02-05CH11231
Product Type:
Dataset
Research Org.:
Coherent X-ray Imaging Data Bank (Lawrence Berkeley National Laboratory); MPI Berlin, FERMI
Sponsoring Org.:
MPI Berlin, FERMI
Keywords:
XFEL; X-ray Free-electorn Lasers; LDM; Coherent Diffraction Imaging; FERMI FEL-1; Superfluid Helium Nanodroplets
OSTI Identifier:
1496209
DOI:
10.11577/1496209

Citation Formats

Langbehn, Bruno. Three-Dimensional Shapes of Spinning Helium Nanodroplets. United States: N. p., 2019. Web. doi:10.11577/1496209.
Langbehn, Bruno. Three-Dimensional Shapes of Spinning Helium Nanodroplets. United States. doi:10.11577/1496209.
Langbehn, Bruno. 2019. "Three-Dimensional Shapes of Spinning Helium Nanodroplets". United States. doi:10.11577/1496209. https://www.osti.gov/servlets/purl/1496209. Pub date:Mon Feb 25 00:00:00 EST 2019
@article{osti_1496209,
title = {Three-Dimensional Shapes of Spinning Helium Nanodroplets},
author = {Langbehn, Bruno},
abstractNote = {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.},
doi = {10.11577/1496209},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {2}
}

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Works referenced in this record:

Three-Dimensional Shapes of Spinning Helium Nanodroplets
journal, December 2018