Speaker
Description
The cosmic web observed in the present universe is an intricate network of galaxies. According to the standard cosmological model, the tiny density fluctuations that existed in the early universe were gravitationally amplified, giving rise to the observable cosmic web or the large-scale structures. To enhance our comprehension of the cosmos and gain valuable insights on galactic evolution it is essential to explore the cosmic web. The analysis of the characteristics of various galaxy properties and their inter-relationships across different parts of the cosmic web is an effective way to address this. In our work, we utilize data from the Sloan Digital Sky Survey (SDSS) and classified a total of 24146 galaxies into 4 categories based on their cosmic-web environments, using a tidal tensor based analysis. We investigate the correlations between a number of galaxy properties in different geometric environments by employing the Pearson correlation coefficient (PCC) and the normalized mutual information (NMI). A two-tailed t-test assesses the statistical significance of the observed differences between these relations in different geometric environments and shows that in most of the cases the scaling relations between the observable galaxy properties are susceptible to the geometric environments with a $> 99.99\%$ confidence level.
| Track type | Cosmology |
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