Revealing the secret of dark matter through gravitational lensing

This paper illustrates the major method of dark matter detecting, which is the gravitational lensing technique. Including details about the observational methods, analyzing techniques and dark matter mapping, this paper demonstrates the mechanism of gravitational lensing. Specifically, this paper illustrates the mechanism of gravitational shear, which is a method of concluding results of observations. Furthermore, convolving method is introduced, which helps form a comprehensive image and reduce the negative effects caused by noises. On top of that, the author has introduced an analyzing method based on the Bayes Theorem, which may be helpful for finding and abandoning unreasonable results. At the end, the author compares the differences and advantages of different analyzing methods, and gives examples of the major methods that are widely used in each field. This paper gives the future prospect of the field, including introduction to the edge cutting projects, references to relative dark matter theory, and several results that have already been found. For example, this paper raised the dark matter distribution of a galaxy taken by the Hubble Space Telescope as a representation for the development of dark matter study. Additionally, the author introduced the GRAVITY model that can analyze the results partially automatically.

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Publication Details

Journal
Science and Technology of Engineering Chemistry and Environmental Protection
Published
2024-12-31
DOI
https://doi.org/10.61173/20ywgx33
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Revealing the secret of dark matter through gravitational lensing

Junyan Guo
Science and Technology of Engineering Chemistry and Environmental Protection
Computational Physics and Python Applications
article

Revealing the secret of dark matter through gravitational lensing

Junyan Guo
article en

Abstract

This paper illustrates the major method of dark matter detecting, which is the gravitational lensing technique. Including details about the observational methods, analyzing techniques and dark matter mapping, this paper demonstrates the mechanism of gravitational lensing. Specifically, this paper illustrates the mechanism of gravitational shear, which is a method of concluding results of observations. Furthermore, convolving method is introduced, which helps form a comprehensive image and reduce the negative effects caused by noises. On top of that, the author has introduced an analyzing method based on the Bayes Theorem, which may be helpful for finding and abandoning unreasonable results. At the end, the author compares the differences and advantages of different analyzing methods, and gives examples of the major methods that are widely used in each field. This paper gives the future prospect of the field, including introduction to the edge cutting projects, references to relative dark matter theory, and several results that have already been found. For example, this paper raised the dark matter distribution of a galaxy taken by the Hubble Space Telescope as a representation for the development of dark matter study. Additionally, the author introduced the GRAVITY model that can analyze the results partially automatically.

Science and Technology of Engineering Chemistry and Environmental ProtectionVol. 1(10)
Openalex Percentile: Top 77%
Computational Physics and Python Applications
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