Filaments form the backbone of the Cosmic Web - agglomerations of galaxy groups
residing within highways of gas, feeding the growth of massive structures located at the
intersections, or nodes, of these celestial arteries. As smaller structures are accreted by
more massive overdensities via such filaments, simulations and observations find evidence
that galaxies are being "pre-processed", or modified, while residing in these infalling, less
dense (group) environments. The cornerstone for isolating and understanding the baryonic
processes at work Is a mapping of the cold-oas reservoir as a function of environment.
We have obtained 32K MeerKAT data of a 20 square degree area centred on a rare example
of a local (2- 0.03) nexus of filamentary structures located in the KiDS-South/South Galactic
Pole region. Within this agglomeration sits a dynamically young cluster, Abell 4038.
This project entails extracting the HI content of galaxies in this region and using available
ancillary data (WISE-derived stellar and dust/star formation metrics) to investigate the star
formation efficiency and gas deficiency in different regions of the nexus. To do this, we will
make use of the existing detailed characterisation of the galaxy groups that form the nexus
and its infalling filaments (van Kempen et al. 2024); see attached file.
This dataset provides the sensitivity to low HI masses crucial to studies in this regime, and
the high spatial and spectral resolution can be used to examine detailed variations in the HI
profiles of detected galaxies. In addition, this region boasts deep optical KiDS VST imaging
(useful for e.g., morphological properties) available across the entire footprint, as well as
Herschel far-infrared coverage.
For an Honours project this will involve processing a sub-region of the field through CARACal and analyzing the resulting HI data for that region. For the MSc project, this will involve processing and analysing the full survey region.
Research Area:
Astronomy
Project Level:
Masters
This Project Is Offered At The Following Node(s):
(UCT)
Special Requirements:
Experience with HI data reduction and analysis will be extremely helpful. You will be required to use the IDIA ilifu computing cluster for this project, so experience with this is also beneficial. Otherwise, the willingness and ability to quickly learn these skills is required.