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" Time-resolved Density Profile Diagnostics for NSTX-U "
Sohrabi, Mohammad-Hadi
Luhmann, Neville, Jr.
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Latin Dissertation
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English
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| Record Number
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1051773
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| Doc. No
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TL50890
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| Main Entry
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Sohrabi, Mohammad-Hadi
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| Title & Author
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Time-resolved Density Profile Diagnostics for NSTX-U\ Sohrabi, Mohammad-HadiLuhmann, Neville, Jr.
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| College
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University of California, Davis
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| Date
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2019
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| Degree
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Ph.D.
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2019
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| Note
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150 p.
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| Abstract
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The idea of an infinite source of energy has led human beings to mystify the stars since the dawn of time. However, it took thousands of years for us, the beings on the earth, to be able to touch upon such an advanced technology and to reverse engineer the fundamental burning riddle of the stars. The major advancement began to emerge into reality by Spitzer and others in Princeton, New Jersey by the so-called “Project Matterhorn”. Scientists in the Soviet Union at the same time started their own designs. After it turned out that the enormity of the problem could not be solved unless the brains from different nations collaborated, people realized that the Russian design might be more practical. The two major designs for star-like energy machines have been under development since the 1950s and we are now at the edge of some breakthroughs toward the realization of this long time dream. This research, as it happens in its natural source, stars, deals with extremely hot atomic particles in the order of hundreds of millions of kelvins. The medium is known as plasma or a medium of charged corpuscles. These particles have the potential to expel thermal energy provided very precise and specific conditions exist, which is the subject of this entire research for more than three quarters of a century with billions of dollars and infinite amount of dedication and intelligence. Aside from the complexity of controlling the plasma and producing energy, as in the case of astronomical science and technology by NASA and others, the extreme requirements has motivated and pushed the boundary of daily life technology by asking more and more from high magnetic fields to high power electronics to high frequency radio frequency, RF sources and electronics and to high speed data links. Unfortunately, the scientific complications and challenges of the fusion technology has been so high, scientists and technologists have invested very little to make use of their advancements by commercializing their findings in the daily life such as what NASA did with their advancements. In the day of writing this text, parallel technologies are in development and ready to be deployed in less than one year or so by 2020. Technologies such as 5G telecommunication at 28 GHz, 60 GHz Wi-Fi, 77-81 GHz automotive and autonomous vehicles, 100 Gbps and above data links, battery powered automobiles, are at the high speed race, that could be more focused by plasma research well in advance of today. This research has been aimed with such a perspective for the next generation of plasma diagnostics systems and other technology applications. The ultrashort pulse reflectometry radar system is a fine design for wireless data centers. However, it absolutely requires investment on integration of the system on the chip level, modulation techniques, and digital signal processing for perfection. The chirp technique is getting attraction with MDMA modulation and other coding for communication aspects. Here, we have provided a fine tuned system design for the next generation of ultrashort pulse reflectometry. Through this research, we have been able to find a new phenomenon in CMOS diode detectors, which is under investigation for better understanding of the physics of the operation. What is still required by plasma diagnostics technology and will emerge, as a need in regular life in the future, is the development of sub-millimeter electronics. The huge availability of frequency bands above 116 GHz and unlicensed bands above 300 GHz is currently in use by plasma science, but not in an applicable way for public use. Vacuum electronics is still dominating this spectral region until a breakthrough happens with the use of wide bandgap semiconductors such as GaN or Diamond. Also, development of computer codes and algorithms through machine learning and deep learning is a huge investment to link between the complex physics of the plasma through simulations and predicting the plasma behavior for automation of the machines with artificial Intelligence (AI) technology that could be employed for future human based robots.
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Electrical engineering
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Luhmann, Neville, Jr.
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University of California, Davis
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