Publication

3D visualization and analysis of HI in and around galaxies

Punzo, D., 2017, [Groningen]: Rijksuniversiteit Groningen. 186 p.

Research output: ThesisThesis fully internal (DIV)Academic

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  • Title and contents

    Final publisher's version, 199 KB, PDF document

  • Chapter 1

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  • Chapter 2

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  • Chapter 3

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  • Chapter 4

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  • Chapter 5

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  • Bibliography

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  • Summary

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  • Samenvatting

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  • Acknowledgement

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  • Complete thesis

    Final publisher's version, 24 MB, PDF document

  • Propositions

    Final publisher's version, 262 KB, PDF document

  • Davide Punzo
Upcoming neutral hydrogen (HI) surveys will provide a wealth of data regarding the
gas content in hundreds of thousands of galaxies. Part of these surveys
will be performed with Apertif, a new system on the Westerbork Synthesis
Radio Telescope in Drenthe, which will increase the field of view with a factor twenty
so that the telescope can observe large areas of sky much faster.
These surveys will provide an unprecedented amount of data, which can be used to search
for faint signatures of HI falling into (and escaping from) galaxies.
Studying these signatures is crucial for a better understanding
of the life cycle of galaxies.
The HI emission of these signatures is, however, often very faint, with subtle structure
and therefore difficult to find and interpret.

Efficiently identifying them with automated software is therefore difficult,
even when using the full 3D information of the data consisting of the spatial
(in two dimensions) and the radial velocity (the third dimension) structure.
We have investigated state-of-the-art techniques for
interactive 3D visualization, 3D filtering and 3D selection
to enhance the inspection and analysis, in terms of both efficiency and quality,
of complex sources with faint and subtle gas (HI) components.

We have developed SlicerAstro, a 3D interactive viewer with these new analysis capabilities.
SlicerAstro is a brand new module embedded in an existing visualisation package
3DSlicer which has been developed mainly for medical imaging and analysis purposes.
These capabilities enhance the HI data inspection and allow faster analysis of
complex sources than possible with traditional tools.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
Supervisors/Advisors
Award date26-May-2017
Place of Publication[Groningen]
Publisher
Print ISBNs978-90-367-9653-8
Electronic ISBNs978-90-367-9652-1
Publication statusPublished - 2017

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