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Error correction algorithms in non-null aspheric testing next generation sequencing data

Author name : AHMED IBRAHIM TALOBA MOHAMED
Publication Date : 2022-03-29
Journal Name : Alexandria Engineering Journal

Abstract

Non-null tests are more versatile than null tests and could give fast, generic tests with sufficient performance. The non-null testing methods are able to measure aspheric surfaces with substantial deviations from a reference sphere. The ray will return along a different path and interfere with a separate reference ray in a non-null arrangement. The retrace error occurs because of the significant disparity between the aspheric and the reference. To correct retracing errors and replicate aspheric fabrication imperfections, complex systems modelling and simulations are required. We propose a ray-tracing-based technique for simulating the non-null interferometer that estimates the optical path differences by tracking lasers across the reference and testing paths. An error correction method is used by ray trace analysis to correct the retracing errors in non-null tests of aspheric surfaces. Experiments were conducted to demonstrate the effectiveness of this strategy. The result of the study shows that the proposed system successfully and effectively rectifies the retracing error compared to other practical findings and computer simulation methods. It is more versatile, faster, and provides adequate aspheric assessment performance.

Keywords

E-mail Spam Detection, Genetic Algorithm, Decision Tree, Machine Learning, Classification These elements provide a concise overview of the paper's focus and scope.

Publication Link

https://doi.org/10.1016/j.aej.2022.03.041

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