| Name: | Unnikrishnan Sureshkumar |
| Affiliation: | University of the Witwatersrand, Johannesburg, South Africa |
| Conference ID : | ASI2024_81 |
| Title : | Do galaxy mergers prefer under-dense environments? |
| Authors : | Unnikrishnan Sureshkumar1,2, Agnieszka Pollo2,3, Anna Durkalec3, William J. Pearson3 |
| Authors Affiliation: | 1 Unnikrishnan Sureshkumar (Wits Centre for Astrophysics, School of Physics, University of the Witwatersrand, Johannesburg 2050, South Africa)
2 Unnikrishnan Sureshkumar, Agnieszka Pollo (Astronomical Observatory of the Jagiellonian University, Krakow 30-244, Poland)
3 Agnieszka Pollo, Anna Durkalec, William J. Pearson (National Centre for Nuclear Research, Warsaw 02-093, Poland) |
| Mode of Presentation: | Poster |
| Abstract Category : | Galaxies and Cosmology |
| Abstract : | Galaxy mergers play a crucial role in galaxy evolution, yet their relationship with the local environment is not fully understood. However, it is well-established that galaxy properties are correlated with their local environment. In this talk, I will present our findings on whether galaxy mergers prefer to exist in the denser or less dense regions of the large-scale structure. Our approach involves quantifying the spatial clustering of mergers and non-mergers by utilising the galaxy two-point correlation function. I will also demonstrate the usefulness of the marked correlation function in tracing how various galaxy properties, including luminosity, stellar mass, and star formation rate, are influenced by their local environment. Of particular interest, we will explore the environmental dependence of a galaxy's likelihood of undergoing a merger event using the marked correlation function. Our analysis uses observational data from the Galaxy and Mass Assembly (GAMA) survey and simulated CosmoDC2 sky catalogue specifically designed for the Rubin Observatory LSST Dark Energy Survey Collaboration. Additionally, I will introduce our ongoing efforts as part of the LSST Galaxy Science Collaboration, where we aim to cross-match forthcoming optical data from the Rubin Observatory with existing radio data from MeerKAT, with an additional objective of extending the clustering analyses into the radio domain. |
