Electronics Pioneers & History
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Joseph John Thompson (also known as J.J. Thomson) was a British physicist born
on December 18, 1856, in Cheetham Hill, Manchester, England. He is best known for
his discovery of the electron, for which he was awarded the Nobel Prize in Physics
in 1906.
Thompson studied at Owens College in Manchester and Trinity College, Cambridge,
where he became a fellow in 1884. He held a number of academic positions throughout
his career, including professorships at the University of Cambridge and the Imperial
College of Science and Technology in London.
Thompson's most famous experiment involved the use of a cathode ray tube, which
allowed him to demonstrate the existence of negatively charged particles, which
he called electrons. He also discovered that these particles had a much smaller
mass than previously believed, and he proposed a model of the atom known as the
"plum pudding" model, in which electrons were embedded in a positively charged sphere.
Thompson made many other contributions to the field of physics throughout his
career, including work on the nature of X-rays, the behavior of gases at low pressures,
and the measurement of the charge-to-mass ratio of the electron. He is also credited
for first proposing
waveguide
transmission of electromagnetic waves in a cylindrical metal cavity.
Thompson died on August 30, 1940, in Cambridge, England, at the age of 83. He
is remembered as one of the most important physicists of the late 19th and early
20th centuries, and his work laid the foundation for many later discoveries in the
field of particle physics.
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While working on an
update to my
RF Cafe Espresso Engineering Workbook project to add a couple calculators
about FM sidebands (available soon). The good news is that AI provided excellent
VBA code to generate a set of
Bessel function plots. The bad news is when I asked for a
table
showing at which modulation indices sidebands 0 (carrier) through 5 vanish,
none of the agents got it right. Some were really bad. The AI agents typically
explain their reason and method correctly, then go on to produces bad results.
Even after pointing out errors, subsequent results are still wrong. I do a
lot of AI work and see this often, even with subscribing to professional
versions. I ultimately generated the table myself. There is going to be a
lot of inaccurate information out there based on unverified AI queries, so
beware.
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