Cosmic super string detection using dilated convolutional neural network with focal loss

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BRAC University

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Abstract

Cosmic string are objects of great importance and investigation for cosmic string has been done from last 20 years. There are a lot of models to detect cosmic string.But a very few are to detect the location of cosmic string.We propose a framework to detect the location of cosmic string. We used di- lated convolutional net with focal loss instead of cross-entropy to improved the performance of the framework on weak samples. The neural network we trained is able to detect and locate cosmic string on noiseless CMB temper- ature map down to a string tension of less then G =5 10􀀀9. We expect to use more accurate simulation to produce data set to improve the con dence of the model.

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Cataloged from PDF version of thesis.
Includes bibliographical references (pages 32-38).
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

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Thesis