Galaxy evolution, cosmology and HPC : clustering studies applied to astronomy

 

Show simple item record

dc.contributor.advisor Cress, Catherine en_ZA
dc.contributor.advisor Winberg, Simon en_ZA
dc.contributor.author Tshililo, Israel R en_ZA
dc.date.accessioned 2016-07-20T06:47:58Z
dc.date.available 2016-07-20T06:47:58Z
dc.date.issued 2016 en_ZA
dc.identifier.citation Tshililo, I. 2016. Galaxy evolution, cosmology and HPC : clustering studies applied to astronomy. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/20465
dc.description.abstract Tools to measure clustering are essential for analysis of Astronomical datasets and can potentially be used in other fields for data mining. The Two-point Correlation Function (TPCF), in particular, is used to characterize the distribution of matter and objects such as galaxies in the Universe. However, it's computational time will be restrictively slow given the significant increase in the size of datasets expected from surveys in the future. Thus, new computational techniques are necessary in order to measure clustering efficiently. The objective of this research was to investigate methods to accelerate the computation of the TPCF and to use the TPCF to probe an interesting scientific question dealing with the masses of galaxy clusters measured using data from the Planck satellite. An investigation was conducted to explore different techniques and architectures that can be used to accelerate the computation of the TPCF. The code CUTE, was selected in particular to test shared-memory systems using OpenMP and GPU acceleration using CUDA. Modification were then made to the code, to improve the nearest neighbour boxing technique. The results show that the modified code offers a significant improved performance. Additionally, a particularly effective implementation was used to measure the clustering of galaxy clusters detected by the Planck satellite: our results indicated that the clusters were more massive than had been inferred in previous work, providing an explanation for apparent inconsistencies in the Planck data. en_ZA
dc.language.iso eng en_ZA
dc.subject.other Electrical Engineering en_ZA
dc.title Galaxy evolution, cosmology and HPC : clustering studies applied to astronomy en_ZA
dc.type Thesis / Dissertation en_ZA
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Engineering & the Built Environment en_ZA
dc.publisher.department Department of Electrical Engineering en_ZA
dc.type.qualificationlevel Masters en_ZA
dc.type.qualificationname MSc (Eng) en_ZA
uct.type.filetype Text
uct.type.filetype Image


Files in this item

This item appears in the following Collection(s)

Show simple item record