Date of Defense
8-11-2024 11:00 AM
Location
F3-136
Document Type
Thesis Defense
College
College of Information Technology
First Advisor
Dr. Mohammad Naouss
Abstract
In the quest to understand the mysteries of the universe through radio astronomy, selecting the right tools and methods is crucial. Just as radio astronomy provides a unique lens through which to study the universe, the adoption of open-source software, such as Python, similarly offers a distinct advantage in scientific research. Today most research is done on open-source code which reduces the limitation to have access to the science and research resources to improve the quality and the contributed researcher. For some people, access to software and tools is very expensive and limited. This work focuses on converting the IDL code to an open access code, which allows to resolve the issue of access limitation. In addition, the benefit of open access tools like Python, are more efficient and faster than IDL as shown in this work. By leveraging open-source code like Python, researchers can harness a vast ecosystem of libraries, frameworks, and community-driven contributions tailored specifically to scientific inquiry. In this thesis, we remade a program for radio array distribution optimization relying on previous recent research in this field. The whole work was to understand the present problem and the proposed solution that is written in “IDL Programming” and implement a similar program in Python programming language.
Included in
MODELING OF RADIO ARRAY DISTRIBUTION
F3-136
In the quest to understand the mysteries of the universe through radio astronomy, selecting the right tools and methods is crucial. Just as radio astronomy provides a unique lens through which to study the universe, the adoption of open-source software, such as Python, similarly offers a distinct advantage in scientific research. Today most research is done on open-source code which reduces the limitation to have access to the science and research resources to improve the quality and the contributed researcher. For some people, access to software and tools is very expensive and limited. This work focuses on converting the IDL code to an open access code, which allows to resolve the issue of access limitation. In addition, the benefit of open access tools like Python, are more efficient and faster than IDL as shown in this work. By leveraging open-source code like Python, researchers can harness a vast ecosystem of libraries, frameworks, and community-driven contributions tailored specifically to scientific inquiry. In this thesis, we remade a program for radio array distribution optimization relying on previous recent research in this field. The whole work was to understand the present problem and the proposed solution that is written in “IDL Programming” and implement a similar program in Python programming language.