| Name: | Surajit Paul |
| Affiliation: | MCNS, Manipal Academy of Higher Education, Manipal 576104 |
| Conference ID : | ASI2024_817 |
| Title : | Search for interacting galaxy clusters from SDSS DR-17 employing an adapted friend-of-friend algorithm and multi-messenger trace |
| Authors : | Tejas Oak1,2 and Surajit Paul3,2,1* |
| Authors Affiliation: | 1 Savitribai Phule Pune University, Pune 411007, Maharashtra, India
2. Raman Research Institute, Sadashivanagar, Bangalore 560080, Karnataka, India
3. Manipal Centre for Natural Sciences, Centre of Excellence, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India |
| Mode of Presentation: | Poster |
| Abstract Category : | Galaxies and Cosmology |
| Abstract : | In the theoretical framework of hierarchical structure formation, galaxy clusters evolve through the process of continuous accretion and mergers. So far, the cosmological simulations have revealed the best picture of our Universe as a 3-D filamentary network of dark-matter (DM) distribution called the cosmic web. Galaxy clusters are found to form at the nodes of this network and are the regions of high merging activity. Such mergers being highly energetic, contain a wealth of information about the formation and evolution of structures in the Universe. Observational verification of this scenario needs numerous snapshots of such interacting nodes, which can only be done through extremely sensitive all-sky surveys. However, such surveys demand a colossal effort and therefore are very rare in literature. Most of the work found in this matter largely focused on individual systems. In this work, we present an adapted and improved search algorithm for identifying interacting galaxy clusters, helping to produce the first comprehensive list of systems from the latest SDSS data release, DR-17. By proposing a set of physically motivated criteria, we classified these interacting systems into 'merging' and 'pre/post-merging' systems. Interestingly, as predicted in the simulations, we found that the bulk of cases show cluster interactions along the prominent cosmic filaments of galaxy distribution, with the most violent ones at their nodes. Moreover, we also traced the imprint of interactions by multi-band signatures of these systems such as diffuse cluster emissions in radio or X-rays. While direct evidence of interactions couldn’t be traced through emissions from the connecting filaments and ridges, our catalogue of identified locations of interacting clusters would definitely help in reducing the computational and human efforts towards detecting these faintest emissions in future, as the data from sensitive telescopes such as eROSITA or SKA, become accessible. |
