[ RadSafe ] Deterministic, Stochastic, Etc.
JPreisig at aol.com
JPreisig at aol.com
Fri Jan 7 12:28:32 CST 2011
This is from: _jpreisig at aol.com_ (mailto:jpreisig at aol.com) .
Howdy radsafers. Hope you all are having a good week at work.
Before I get into this message in a serious way, I'd like to
communicate the information
that some research experience programs for young people (former NSF summer
really take place so much in high school anymore, but seem to be taking
place as REU's ---
Research Experiences for Undergraduates --- and occur sometime during USA
years. Do a websearch...
Recent postings to radsafe seem to indicate some sort of either/or
relationship for Stochastic
and/or Deterministic Processes. While this can happen and be modelled
appropriately, a full
model of many physical processes will include BOTH deterministic and
See. for example, books on State-Space Modelling (Electrical Engineering),
Kalman Filtering and the like. Such modelling is done in Rocket and
Airplane/Jet Guidance and/or
Control systems and is also done in Mathematics, Physics, Geophysics, Etc.
include those by R. Grover Brown, Jazwinski, Gelb, JV Candy and many
others. Jazwinski is a
difficult book with some math theory. I'm not looking to train anyone
into becoming a rocket
scientist here, but much of this e-mail goes well beyond traditional Health
In some aeronautics applications, deterministic terms are used to
accelerations, velocities and translations, and also rotational
accelerations, angular orientation
of a rocket/jet in space (roll, pitch and yaw), etc. These parameters can
stochastic terms, which describe noise processes (kind of like radiation
unmodelled physical effects, etc. White noise is one type of noise as
well a integrated white
noise and other noise terms. Stochastic Noise is also sometimes
introduced into Kalman
Filtering systems to keep the filter running, so they don't close up.
I guess in Radiation Biology, Health Physics, etc., the biophysical
systems are quite different,
and by their very size, could start to include nano-scale (and/or quantum
One could readily envision systems where deterministic effects are
relatively small. Stochastic
processes would dominate any computer modelling and/or measurement studies.
YET, I would suggest with a quote by some academic whose name I barely
remember "The more
you study random processes, the less random they become."
What this all means for various radiation threshold models, I don't
know. MODEL SYSTEMS AS
COMPLETELY AS POSSIBLE. KISS also (Keep It Simple Stu---}. And as
Einstein once said
(and I don't have his exact quote here) --- Model things simply, but not
overly (and incorrectly)
simply. Data fitting is important.
I smile a bit as I read on RADSAFE about a Low Level Waste Storage
facility opening in Texas.
I once did modelling for a LLRW facility in New Jersey. One Texas
facility for much of the USA's
LLRW???? Hmmm. Sounds like trucking/hauling companies are going to be
a few dollars on this one.
The second edition of Cahn and Goldhaber's Experimental Foundations
of Particle Physics
just showed up at my front door. I recommend reading it for people
interested in such things.
Time to disappear into the new, next three or four chapters.
Apparently, Fermilab has new-found life for the next three or four
years, to try and better define
the energy of the Higgs particle... pretty cool, huh????
Maybe Mr. Obama could re-awaken the USA proton supercollider in Texas
so we could compete with the folks at CERN. Have a good weekend.
Regards, Joseph R. (Joe) Preisig, PhD
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