An Investigation of the Inflationary Cherenkov Imprints on the CMB

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Salbalianpour, Ali | 2021

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 54009 (04)
University: Sharif University of Technology
Department: Physics
Advisor(s): Abolhasani, Ali Akbar; Vafaei Sadr, Alireza
Abstract:
During the past 20 years, there has been an ever¬increasing interest in searching for anomalies or features beyond the standard scale¬invariant Gaussian spectrum of the CMB in the hope of finding signals of new physics. In this study, a new type of anomaly on the cosmic microwave background called the Inflationary Cherenkov effect is studied. By first simulating the expected effects and using machine learning methods such as convolutional neural networks, we obtain methods to detect this effect. Afterward, with the help of the detector, we study real data, namely temperature anisotropies of the CMB. Finally, we infer the speed of propagation of scalar field perturbations whose energy runs cosmic inflation in the early universe. The purpose of this thesis and research is comparing the predictions of the model used with the observations of the cosmic microwave background and ultimately constraining the parameters of this model
Keywords:
Cosmic Microwave Background (CMB) ; Early Universe ; Inflation ; Convolutional Neural Network ; Machine Learning ; Cosmic Microwave Background (CMB)Anisotropy ; Inflationary Cosmology ; Inflationary Cherenkov Effect