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> Burkhard Heim's Particle Structure Theory
metronhead
Posted: Apr 5 2006, 06:04 AM


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Hi jreed-

I'm so glad that we have a professional physicist in the group (which I am not).

Regarding the cellular automata idea, I have sometimes wondered if some sort of iterative process might be involved in particle lifetimes, as are involved in the generation of fractals like the Mandelbrot set.

As you know, the Mandelbrot set, for example, consists of areas of stability, in which the iterated equation that generates it iterates in a stable cyclic "attractor". Points on the fringe of the Mandelbrot set go unstable, after a certain number of iterations of the generating equation. Points far outside the set go unstable almost immediately.

Particles, too, have various average lifetimes, then go unstable. Some, like the proton, like points far inside the Mandelbrot set, seem to be stable indefinitely. Others, like points on the border of the Mandelbrot set, are stable for a certain number of iterations, then go unstable.

LQG sometimes compares the stepwise changes in spin networks to clock cycles of digital computers.

I know that there are some mathematical models that use iterated difference equations rather than differential equations to model things. I wonder if a quantized space-time, in which changes occur in discrete steps, could better be modeled using cellular automata or iterated difference equations instead of continuous math.

If an iterative process determines particle lifetimes, maybe that explains why more conventional math and physics have not been able to determine particle lifetimes.

You guys might really be onto something with the cellular automata idea, I think.
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MMC
  Posted: Apr 5 2006, 07:35 AM


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QUOTE

Regarding the cellular automata idea, I have sometimes wondered if some sort of iterative process might be involved in particle lifetimes, as are involved in the generation of fractals like the Mandelbrot set.


To progress from the BB to the current universe an iterative process does seem to be the likely choice.

How do we know that the current atomic model is not subject to a process similar to evolution?

When you consider that 95% of the universe is undetectable and that the age of the universe has been determined to be around 13 billion years old...

QUOTE

The Age of the Universe

Recently, the Hubble Space Telescope was used to measure the distance to a galaxy named "M100". Based on this distance (56 million light-years), the age of the universe is apparently 8 to 12 billion years. Yet there are stars right here in our own galaxy that are believed to be older than that! How can the universe be younger than stars contained in it?

This is one of the biggest mysteries currently puzzling astronomers. The discrepancy arises because of the apparent conflict of two major streams of astronomical research: stellar evolution theory and the distance scale measurements.

Stellar evolution theory and observations of globular clusters (believed to contain the oldest stars in the galaxy) give estimates for the ages of the stars of 15-18 billion years. The distance scale measurements and big bang theory suggest the universe is 8-12 billion years old. Hence, either stellar evolution theory is incorrect, or how we measure distances is wrong.

http://liftoff.msfc.nasa.gov/academy/universe/age.html

...then it is possible that what we are seeing is a 'subset' of particles that are at a particular stage in an iterative process.

It also opens the possibility that life developed within a different stage of this iterative process and thus self-assembly, or the creation of new life, may be impossible.

Do the building blocks of life, elements and their atomic structures, change with time?
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PNeilson
Posted: Apr 5 2006, 10:57 AM


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Thanks to all for the interest in Cellular Automata. I have created the new Topic "HEIM's Metrons as Cellular Automata" as promised. Please see the initial topic post for more information.

I followed Leovinus's link to the paper by Breakstone on Empirical Relationships among Lepton and Quark masses. I found Breakstone's 2 Pi relationship between generations of particles quite suggestive of a simple geometrical progression between the generations of particles. This 2 Pi relationship may help in the search for a particle's Cellular Automata. That is, the first particle has the foundational Cellular Automata and the second particle in the generation is a simple 2 Pi scaling of the first with the third particle in the generation a 2 Pi scaling of the second. The Cellular Automata we are looking for would be required to have this scaling law which would greatly reduce the search space of possible Cellular Automata.

Paul
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will314159
Posted: Apr 5 2006, 12:19 PM


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there's a whole theory of gravitation called PROCESS gravitation. in that theory there's a whole different view ot time. The focus is on itereation and process not on linear time. By the way, in the wikipedia article on quantum gravitation, i added a link to Heim Theory

http://en.wikipedia.org/wiki/Quantum_gravity

http://en.wikipedia.org/wiki/Process_physics

sounds a lot like metron oscillations


QUOTE
History

Process physics has its origin in a paper by Reginald T. Cahill and Christopher M. Klinger about modeling space and time with a random matrix in 1996 Pre-geometric modeling. This was further developed in the paper Self-Referential Noise and the Synthesis of Three-Dimensional Space in 1998. In 2002 the paper Process Physics: From Quantum Foam to General Relativity and Process Physics: From Information Theory to Quantum Space and Matter in 2003 took the radical step of expanding on the themes of the earlier papers to encompass both quantum mechanics and general relativity.
[edit]

Modeling process physics

Process physics uses the concept of self-referential criticality to explain the emergence of structure and information from random processes. It is modeled by a boot-strap process that uses a matrix that describes the strengths of connections between nodes. By iterating this matrix by adding its inverse, causing self-reference, and adding random noise, a tree structure emerges with strongly connected nodes exhibiting a fractal but, at higher levels, three-dimensional structure, which resembles space. Connections between nodes decay, while new connections are created; over many iterations more new connections are formed than are lost, causing an exponentially expanding space, just as observed in the physical universe. Within this tree structure, topological defects that have more connectivity than normal and are therefore more 'sticky' emerge, giving rise to patterns that persist. It is argued that these patterns have matter-like behaviour because of their persistence and their fuzziness at smaller scales similar to quantum particles, and also gravity-like behaviour.
[edit]

Time

In classical physics time is modelled as a geometrical dimension that is added to the three dimensions of space to construct four dimensional space-time. This is a static model that does not have the concept of a past, present or future, or the arrow of time within it. This is at odds to normal experience. Process physics models time as an iterative process and has these effects built in. Time in process physics is modelled as an iterative process, where each iteration is like the next present moment. Due to the randomness present in the iterative equation it is not possible to perform the inverse operation, meaning you cannot go backwards to the previous moments. Again due to the randomness present in the model, the future is not completely predictable. Process physics thus predicts a static past, a continually changing present moment, and an unpredictable future. This is at odds with the static space-time model, which mathematically allows any point in space-time to be predicted, whether past, present or future.
[edit]

Space

A key point in the Process Physics theory is that space has internal structure. This structure is described as a network of nodal points with connections between nodes of varying strength, as described above in the section "modelling process physics". Mathematically the model used by process physics to describe space is essentially the same as that used to model neural networks. The inspiration to use this neural-network type of model to describe reality came from the discovery that the behaviour of the elementary particles skyrmions can be described by a similar model.
[edit]

Matter

In process physics, matter is described as topological defects in three dimensional space that have the ability to become persistent by preserving the pattern of its links over many iterations. Matter is embedded in three dimensional space but is essentially made of the same thing as space. It moves by re-linking preferentially in the direction of travel and losing links more often in the opposite direction to travel. The pattern therefore appears to move relative to the underlying fabric of space and to other matter. Once the movement has started then it will become self sustaining requiring no more energy to continue. Any change in direction to its passage through space would be resisted, which manifests itself as inertia.
[edit]

Gravity

The topological defect nature of matter means it has more links than normal space. This would produce the effect of using up more links than the space surrounding it meaning that space would effectively sink into matter. This is speculated as the reason behind gravity where the space between masses would effectively shrink making the masses become closer together. The masses would not move as such but the distance between them would get smaller. This also explains why a free falling body does not seem to experience a force while accelerating due to gravity towards a more massive body. This however goes against general relativity as the gravitational effect would be instantaneous rather than effect at a distance at the speed of light. An experiment to measure the speed of gravity would go a long way in establishing if general relativity or process physics is closer to reality.
[edit]

See also
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Zephir
Posted: Apr 5 2006, 12:46 PM


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QUOTE (will314159 @ Apr 5 2006, 03:19 PM)
...there's a whole theory of gravitation called PROCESS gravitation....

OK, but why is it in pseudoscience category?


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Olaf
Posted: Apr 5 2006, 01:36 PM


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Neutrinos in Heim mass formula

This night I realized, that the term fik in the 1982 DESY code might have been thought to calculate neutrinos. (In the original source code term is calculated but not further used.)

So I looked at the 1989 paper.
I guess there are as many errors in this paper as in the previous 1982 paper (sorry). I state that all intermediate results and structures described in the 1982 formula must have counterparts in the 1989 equations!
So I assume the mass formula B3 should be:
M = my * (alfp(G + S + F + Fi) + 4q*alfm) (wrong brackets in the 1989 paper)

This corresponds to (1982):
M = my * alfp(G + K + H + Fi)
with
G = G
S = K
F = H + fi(N=0) (self coupling term added 1989)

The term
4q*alfm
already is contained in 1982 Fi as the very last term.

Therefore we get a cleared Fi by subtracting
fi = Fi - 4q*alfm/alfp
This is exactly the equation for fik in the 1982 source code.
Fi then is the pure field mass of a particle with protosimplex structures that are empty or compensated by ni = -Qi. In this case K+G+H becomes zero. That is only Fi left over giving a field mass.

I have tested this in Excel where I get the same masses for the e-, muon and pion neutrinos as published by Burkhard Heim 1984. (It seems that in table II at the heim-theory paper the masses are mixed up.)
I am not sure about the other neutrinos. In addition I do not know whether the self coupling term fi(1989) already is contained in 1982 Fi or if this is a new term. This is an important question to evaluate.


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Excel Heim Mass Calculator and Pascal code: www.engon.de/protosimplex; heim-theory.org (Wiki)
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will314159
Posted: Apr 5 2006, 01:57 PM


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Zephir West Wind

As to why Process Gravity is labeled PseudoScience
Wikipedia is political. look at the discussion pages sometimes. there are always people trying to delete articles, change them. articles are arrived at by consensus.

Heim theory is a case in point. Now it is labeled "ProtoScience." At one time is was labeled Pseduoscience, Fringescience. I was for labeling it "NonMainstream."

I would label Aether Wave Theory "Zephir's Baby."

Take Care!
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araven
Posted: Apr 5 2006, 03:07 PM


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Hi,

QUOTE

So I assume the mass formula B3 should be:
M = my * (alfp(G + S + F + Fi) + 4q*alfm) (wrong brackets in the 1989 paper)


I have corrected the C code with the above, and some of the masses got much closer to the experimental results.

CODE

=== particles ===============================================================
=============================================================================
name               | symbol   | q_x | m_the   [Mev] | m_exp   [Mev] | error %
-----------------------------------------------------------------------------
neutral electron   | e_0      |   0 |    0.50627181 |               |
electron           | e_-      |  -1 |    0.51098822 |    0.51099907 | -0.002%
muon               | miu_-    |  -1 |  105.65634128 |  105.65838900 | -0.002%
eta                | eta      |   0 |  548.62899518 |  547.30000000 |  0.243%
charged kaon       | KAPPA_+  |   1 |  493.69956168 |  493.67700000 |  0.005%
neutral kaon       | KAPPA_0  |   0 |  497.69173794 |  497.67200000 |  0.004%
charged pion       | pi_+-    |   1 |  139.56421834 |  139.57018000 | -0.004%
neutral pion       | pi_0     |   0 |  134.92903040 |  134.97660000 | -0.035%
lambda             | LAMBDA   |   0 | 1116.21187996 | 1115.68300000 |  0.047%
omega              | OMEGA_-  |  -1 | 1672.12543330 | 1672.45000000 | -0.019%
proton             | p        |   1 |  937.34294837 |  938.27231000 | -0.099%
neutron            | n        |   0 |  938.30996495 |  939.56563000 | -0.134%
neutral xi         | XI_0     |   0 | 1314.47953670 | 1314.90000000 | -0.032%
charged xi         | XI_-     |  -1 | 1321.25394409 | 1321.32000000 | -0.005%
positive sigma     | SIGMA_+  |   1 | 1189.33870868 | 1189.37000000 | -0.003%
neutral sigma      | SIGMA_0  |   0 | 1192.23763970 | 1192.64200000 | -0.034%
negative sigma     | SIGMA_-  |  -1 | 1197.26880554 | 1197.44900000 | -0.015%
2 charged delta    | DELTA_++ |   2 | 1234.45077079 | 1232.00000000 |  0.199%
positive delta     | DELTA_+  |   1 | 1234.73927299 | 1232.00000000 |  0.222%
neutral delta      | DELTA_0  |   0 | 1235.79291876 | 1232.00000000 |  0.308%
negative delta     | DELTA_-  |  -1 | 1229.21652239 | 1232.00000000 | -0.226%
=============================================================================

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jal
Posted: Apr 5 2006, 04:05 PM


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will314159... and all smile.gif
You got to stop that kind of explanations.... your driving me out of a job biggrin.gif
simple jal smile.gif


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RAF
Posted: Apr 5 2006, 07:39 PM


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QUOTE (araven @ Apr 5 2006, 03:07 PM)
Hi,

QUOTE

So I assume the mass formula B3 should be:
M = my * (alfp(G + S + F + Fi) + 4q*alfm) (wrong brackets in the 1989 paper)


I have corrected the C code with the above, and some of the masses got much closer to the experimental results.

Output .......

Note Leovinus used http://pdg.lbl.gov/2005/mcdata/mass_width_2004.csv for his experimental masses. The experimental masses vary a bit from those you used.

It would seem all use the same experimental masses, and the document above has some very recent values. It contains mass widths and basic particle masses with error bounds.

'leovinus' also adjusted G to give a very small error for e- in his translation of Olaf's Pascal version: 6.67331980000000e-11. That gave an me- still a bit outside the experimental mass error bounds. I posted a sorted list of those masses here recently. As long as G is close to the best measured values that should be legitimate. In fact, a simple Newton's convergence to adjust G to the value that makes the error in e- essentially zero would be reasonable. Though, the value of G used might might also head the list with an indication it was set to minimize me-. And, how well G falls within current error limits.

Further, it's not the relative errors that count, rather it is how well they fall within the experimental error bounds. me- is know the most closely, 0.04 ppm. Again, this makes it the value to minimise. p and n error limits are only 80 ppm. The delta's are known to only 2%.

I see me- is 1.43e-7 high in Leovinus' table. Compared to the 0.4e-7 error limit in the PDG list.

I'm waiting to see how the neutrinos and other particles come out.



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RAF
Posted: Apr 5 2006, 07:59 PM


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QUOTE (Olaf @ Apr 5 2006, 01:36 PM)
Neutrinos in Heim mass formula

This night I realized, that the term fik in the 1982 DESY code might have been thought to calculate neutrinos. (In the original source code term is calculated but not further used.)

So I looked at the 1989 paper.
I guess there are as many errors in this paper as in the previous 1982 paper (sorry). I state that all intermediate results and structures described in the 1982 formula must have counterparts in the 1989 equations!
.................

I have tested this in Excel where I get the same masses for the e-, muon and pion neutrinos as published by Burkhard Heim 1984. (It seems that in table II at the heim-theory paper the masses are mixed up.)
........................

Excellent Olaf!

Maybe it's time to look at the particle lifetimes. Some were very close, other(s) were off some.

A Flow Diagram of the mass calculations, something that would describe the process in a simple way, would be useful. Ultimately, that might be just part of a larger diagram showing the underpinnings of Heim's theory, and also the more speculative area of gravito-photons and the 'Space Drive'.

I assume these matters will eventually get back to Dr's. Hauser and Droescher.


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Your manuscript is both good and original. However, that which is good is not original, and that which is original is not good. --Samuel Johnson
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araven
Posted: Apr 5 2006, 08:47 PM


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Hello, RAF.
QUOTE

Note Leovinus used http://pdg.lbl.gov/2005/mcdata/mass_width_2004.csv for his experimental masses. The experimental masses vary a bit from those you used.

It would seem all use the same experimental masses, and the document above has some very recent values. It contains mass widths and basic particle masses with error bounds.


I had this document for a while, just had no time to adjust the masses in the program. Now it is done. :-)

QUOTE

'leovinus' also adjusted G to give a very small error for e- in his translation of Olaf's Pascal version: 6.67331980000000e-11. That gave an me- still a bit outside the experimental mass error bounds. I posted a sorted list of those masses here recently. As long as G is close to the best measured values that should be legitimate. In fact, a simple Newton's convergence to adjust G to the value that makes the error in e- essentially zero would be reasonable. Though, the value of G used might might also head the list with an indication it was set to minimize me-. And, how well G falls within current error limits.


The value of G (and rest of the constants) was taken from wikipedia, is there any alternative source with better estimation?

Regarding the best fitting G... There is a slight problem with it (at least in C case), it can at best be temporary until all the errors are found. Its value is:

CODE

G_best = G * pow(m_theoretical / m_experimental, 6) = 6.67336e-11


where m_theoretical and m_experimental stand for theoretical and expeimental masses of electron. The m_theoretical is the problematic one, it depends upon the quadruples n, m, p and sigma. And the quadruples yielded by C implementation do not match all of the selected results' values for now. This is the main reason I didnt try to add neutrinos so far.

Did anyone manage to get perfect match with any of the other implementations?
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jal
Posted: Apr 5 2006, 09:04 PM


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Hi!
It's available at: HEIM's Metrons as Cellular Automata
JAL’S INTERPRETATION AND PROCEDURES
(Burkhard Heim's Particle Structure to be used for HEIM's Metrons as Cellular Automata ).
jal


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RAF
Posted: Apr 5 2006, 10:29 PM


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QUOTE (araven @ Apr 5 2006, 08:47 PM)
Hello, RAF.
QUOTE

Note Leovinus used http://pdg.lbl.gov/2005/mcdata/mass_width_2004.csv for his experimental masses. The experimental masses vary a bit from those you used.

It would seem all use the same experimental masses, and the document above has some very recent values. It contains mass widths and basic particle masses with error bounds.


I had this document for a while, just had no time to adjust the masses in the program. Now it is done. :-)

QUOTE

'leovinus' also adjusted G to give a very small error for e- in his translation of Olaf's Pascal version: 6.67331980000000e-11. That gave an me- still a bit outside the experimental mass error bounds. I posted a sorted list of those masses here recently. As long as G is close to the best measured values that should be legitimate. In fact, a simple Newton's convergence to adjust G to the value that makes the error in e- essentially zero would be reasonable. Though, the value of G used might might also head the list with an indication it was set to minimize me-. And, how well G falls within current error limits.


The value of G (and rest of the constants) was taken from wikipedia, is there any alternative source with better estimation?

Regarding the best fitting G... There is a slight problem with it (at least in C case), it can at best be temporary until all the errors are found. Its value is:

CODE

G_best = G * pow(m_theoretical / m_experimental, 6) = 6.67336e-11


RAF:Close to the value Leovinas uses: 6.67331980000000e-11
Hmm, actually, it appears to be from "theory W.Droescher(2002)"
I'm not sure how many std erros that is from one of the 'best values': 6.6742 ?

............................

Did anyone manage to get perfect match with any of the other implementations?

I copied and pasted the G in Leovinas' source code into my quote above.

I had manually changed G in Spony's on-line java applet. Got the error in e- down to 0e00 once, but later it wouldn't drop that low. There appeared to be some hysteresis in the calculations. More recent codings in Pascal and C probably have more accurate math. Further, I noted that the assembly source file generated appeared to save FP variables from the NPX's stack as TBYTES (or QWORDS), which preserves the 80-bit precision and exponent range of the NPX itself. I think that runs about 18 digital digits. I'm not that familiar with the extended precision FP types used in both the Pascal and C source, but 'double precision' or float8 should be good enough to handle most of the calculations. One calculation involves 1.000 - beta^2, but that still leaves 10 or more digits of significance with float8 or float8+.
Note 1 - beta^2 = 2bd + bd^2, where bd = 1.0 - beta. So at least a little precision could be gained with the binomial expansion.

While speed isn't important for just calculating these masses, it may be nice to add a graphical output where calculations are made which move the values around on a 3D projection. More efficient calculations might be desirable in such a case. Watching the trajectories of poor fits could be instructive. Regardless, colorful pictures are good for advertising results.


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Your manuscript is both good and original. However, that which is good is not original, and that which is original is not good. --Samuel Johnson
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RAF
Posted: Apr 5 2006, 10:53 PM


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Note I still think setting many of the constants in Planck Units (1.0, or with a 2Pi factor) would be very useful. That includes the Planck Mass. I think the uncertainty in G would also be eliminated. Note these are given at Wikipedia.

The 'so' length of 1 m would also be replaced with the Planck unit. The calculated masses might come out as multiples of the Planck Mass. Or, could be manipulated to that.

To convert to the current masses in MeV, the empirical constants G, c, etc. would come in.

RAF


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Your manuscript is both good and original. However, that which is good is not original, and that which is original is not good. --Samuel Johnson
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