Abstract Details
| Name: Paryag Sharma Affiliation: Central University of Himachal Pradesh Conference ID: ASI2024_310 Title : ANALYSING LYMAN ALPHA FOREST USING SIMULATIONS AND AI Authors and Co-Authors : Paryag Sharma, Vikram Khaire, Hum Chand, Prakash Gaikwad Abstract Type : Poster Abstract Category : Galaxies and Cosmology Abstract : The Lyman alpha forest serves as a vital instrument for investigating the cosmos, enabling the determination of cosmological parameters, exploration of the universe's structure, and comprehension of its early-state conditions. In the context of various ongoing and upcoming surveys based on spectroscopic of high redshift quasars, various automated tools have been designed for the analysis of large samples of Lyman alpha forest spectra. These tools rely on analytical approaches, leading to substantial computational time and resource demands. Our objective is to create artificial intelligence (AI)-driven tools to analyze the absorption lines of Lyman-alpha forest. We have used a large sample of synthetic spectra from simulations such as TNG simulation. We have achieved results with comparable reliability as a conventional analytical method with significantly improved speed so as to replace the current resource-intensive methods. |