INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Using Neural Networks to Plot Emulations of the Sky-averaged 21-cm Signal to Deepen Understanding of the Cosmic Dawn and Epoch of Reionization
Authors Name:
Rain Jha
Unique Id:
IJSDR2311029
Published In:
Volume 8 Issue 11, November-2023
Abstract:
This research project focuses on the emulation of the 21-cm signal of neutral hydrogen during the epoch of reionization, using a trained neural network to generate different signatures of this signal. The project employs the “globalemu” network (Bevins et al, 2021) which utilizes training of 10,000 signals generated from semi-numerical simulations to emulate the 21-cm signal. The primary objective of this research is to investigate variations in the astrophysical parameters within the neural network and their subsequent impacts on the emulated signal. A specific area of interest is establishing correlations between changes in these parameters and the occurrence of signal minima corresponding to the maximum signal amplitude. This research was conducted under the guidance of Dr. Saurabh Singh, Associate Professor at the Department of Astronomy and Astrophysics, Raman Research Institute, Bengaluru, India, starting from June 2023.
Keywords:
Cosmic dawn, epoch of reionization, 21-cm signal, emulations, neural networks in astrophysics
Cite Article:
"Using Neural Networks to Plot Emulations of the Sky-averaged 21-cm Signal to Deepen Understanding of the Cosmic Dawn and Epoch of Reionization", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 11, page no.191 - 195, November-2023, Available :http://www.ijsdr.org/papers/IJSDR2311029.pdf
Downloads:
000338719
Publication Details:
Published Paper ID: IJSDR2311029
Registration ID:209234
Published In: Volume 8 Issue 11, November-2023
DOI (Digital Object Identifier):
Page No: 191 - 195
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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