Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 14, 30 November 2023
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Access | Article
Simulating strong gravity-lensing effect using python with 10 source and 20 lensing galaxies
* Author to whom correspondence should be addressed.
Abstract
This report explores using Python, a coding language, to create simulated images of a gravitational lens system, using the Hubble Space Telescope (HST) parameters. With Python’s helpful tools, like NumPy for math operations and Astropy for astronomy tasks, we build algorithms that recreate the interactions within our chosen group of galaxies and take into account HST’s unique imaging capabilities. Our method combines theory of gravitational lensing with practical coding strategies to make simulations show these complex light-bending interactions. The report walks through how the algorithms are developed with specific scientific simulation models like Sersic profile and point-spread function (PSF), showcasing the important role of computer simulations in deepening our understanding of space. In this report, I will introduce how we can use python code to create simulation images of a gravitational lens system. This system involves with 10 source galaxies ,20 lensing galaxies and with consideration of dark matter halo.
Keywords
Gravity Lensing, Simulation, Astronomy
References
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2. Matthew R. Gomer, Dominique Sluse, Lyne Van de Vyvere, Simon Birrer, Anowar J. Shajib, Frederic Courbin Cosmology and Nongalactic Astrophysics (astro-ph.CO); Astrophysics of Galaxies (astro-ph.GA) arXiv:2310.03077 Oct 2023
3. Albert Einstein Science 84 (2188): 506–507 December 1936 https://ui.adsabs.harvard.edu/ link_gateway/1936Sci....84..506E/doi:10.1126/science.84.2188.506
4. Bryan R. Gillis, Tim Schrabback, Ole Marggraf, Rachel Mandelbaum, Richard Massey, Jason Rhodes, Andy Taylor Monthly Notices of the Royal Astronomical Society, 0035-8711, staa1818 arXiv:2006.14703 Jun 2020
5. Michal Karamazov, Lukas Timko, David Heyrovsky arXiv:2103.16965 ApJ, 922, 72 (2021)
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 3rd International Conference on Computing Innovation and Applied Physics
- ISBN (Print)
- 978-1-83558-191-9
- ISBN (Online)
- 978-1-83558-192-6
- Published Date
- 30 November 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/14/20240883
- Copyright
- 30 November 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited