| Name: | Paryag Sharma |
| Affiliation: | Central University of Himachal Pradesh |
| Conference ID : | ASI2024_310 |
| Title : | ANALYSING LYMAN ALPHA FOREST USING SIMULATIONS AND AI |
| Authors : | Paryag Sharma, Vikram Khaire, Hum Chand, Prakash Gaikwad |
| Authors Affiliation: | Paryag Sharma, Hum Chand Affiliation (Central University of Himachal Pradesh, Dharamshala 176206)
Vikram Khaire Affiliation(Indian Institute of Space Science and Technology, Thiruvananthapuram, Kerala, India and University of California Santa Barbara, Santa Barbara, CA, USA)
Prakash Gaikwad Affiliation (Max-Planck-Institut f ̈ur Astronomie, K ̈onigstuhl 17, D-69117 Heidelberg,
Germany)
|
| Mode of Presentation: | 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. |
