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 =5 109. 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.
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