ISIS Neutron and Muon Source Data Journal

This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.


SESANS of beetle scales and butterfly wings

Abstract: Neutron scattering and in particular SESANS is able to give us excellent ensemble averaging of the optical properties of materials which exhibit structural colour. We plan to use SESANS to measure the volume fraction of chitin and air in ultra white beetle scales and give an effective g(r). We also want to use SESANS to measure the ridge architecture and optical nanostructure of a carefully selected subset of the south american heliconius butterflies. Here we have genetic information about these individuals and we would like to use the powerful averaging power of neutrons to probe what look essentially like grating structure. Larmor is highly sensitive to such structures and able to collect excellent data. Comparisons of these butterflies will help us to pinpoint DNA sequences that may be responsible for controlling the development and structuring of butterfly optical structure.

Principal Investigator: Dr Andrew Parnell
Experimenter: Professor Roger Pynn
Experimenter: Dr Steven Parnell
Experimenter: Dr Adam Washington
Experimenter: Dr Nicola Nadeau
Experimenter: Dr Gabriel Bernardo
Experimenter: Ms Stephanie Burg
Experimenter: Mr Juan Enciso

DOI: 10.5286/ISIS.E.RB1810719

ISIS Experiment Number: RB1810719

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.92924017 LARMOR 27 April 2021 Download

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
Select the data format above to find out more about it.

Data Citation

The recommended format for citing this dataset in a research publication is as:
[author], [date], [title], [publisher], [doi]

For Example:
Dr Andrew Parnell et al; (2018): SESANS of beetle scales and butterfly wings, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1810719

Data is released under the CC-BY-4.0 license.



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