FrediFizzx wrote:Ah..., perhaps during the constraints a and b become null vectors due to S^3 action?
Joy Christian wrote:FrediFizzx wrote:Ah..., perhaps during the constraints a and b become null vectors due to S^3 action?
I don't read Mathematica codes very well, but so far you have not managed to attract the bulls to your red cloth. That is surprising.
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FrediFizzx wrote:Joy Christian wrote:FrediFizzx wrote:Ah..., perhaps during the constraints a and b become null vectors due to S^3 action?
I don't read Mathematica codes very well, but so far you have not managed to attract the bulls to your red cloth. That is surprising.
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What can they say about it other than what I already mentioned?
The Mathematica code is fairly straight forward to understand. You just need to understand the first three Do loops. The rest is analysis. I think the first Do loop is perfectly understandable. The only thing in the second and third loops is the if-then-else statements. After the first comma is the "then" and after the second comma is the "else". So..., anything else you don't understand?
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gill1109 wrote:I'm interested in simulation programs which can be tested without studying the code. I need to be able to supply settings myself, and to have the program output raw (binary) measurement outcomes, for any number of trials. I also want the option to be able to save and to reset the pseudo random number generator, so that all experiments are completely reproducible.
FrediFizzx wrote:gill1109 wrote:I'm interested in simulation programs which can be tested without studying the code. I need to be able to supply settings myself, and to have the program output raw (binary) measurement outcomes, for any number of trials. I also want the option to be able to save and to reset the pseudo random number generator, so that all experiments are completely reproducible.
Oh, for heaven's sake. There is nothing complicated about the Mathematica code. You should be able to program this up in R quite easily with your random seed so you can have reproducible runs. And play around with the settings. It is only the first three Do loops. You can do your own analysis programming which you probably already have.
This could be how Nature does it.
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gill1109 wrote:Here are some new completely local and realistic simulations by myself: https://rpubs.com/gill1109/singlet.
FrediFizzx wrote:gill1109 wrote:Here are some new completely local and realistic simulations by myself: https://rpubs.com/gill1109/singlet.
Not even close.
What are your A and B functions per Bell?
FrediFizzx wrote:I'm going to go ahead and post the code for this new simulation even though I am not entirely satisfied with it..., yet. Perhaps someone else might be interested in tinkering with it to improve it? Or to collaborate with it?
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http://www.sciphysicsforums.com/spfbb1/EPRsims/newCS-1.pdf
http://www.sciphysicsforums.com/spfbb1/EPRsims/newCS-1.nb
It utilizes the complete states function. You can see from the code that during the constraints, the a and b vector angles subtract from themselves. I have yet to figure out a good physical justification for that. Perhaps some S^3 action at work? But the simulation is completely local and completely predictable for the A and B outcomes if you know a, b, e and lambda so it is 100 percent realistic.
gill1109 wrote:The subtractions aa = (a - a) and bb = (b - b) mean that CA and CB contain values -1, 0 and +1, and these values go into AliceD and BobD too. This means that when you count joint outcomes pPP, pPN, pNP, pNN you only count the +/-1's. The claim "No Events are Dropped" is not quite true. They are not explicitly dropped. But they are not counted.
Heinera wrote:gill1109 wrote:The subtractions aa = (a - a) and bb = (b - b) mean that CA and CB contain values -1, 0 and +1, and these values go into AliceD and BobD too. This means that when you count joint outcomes pPP, pPN, pNP, pNN you only count the +/-1's. The claim "No Events are Dropped" is not quite true. They are not explicitly dropped. But they are not counted.
While these subtractions are indeed the culprits, the mechanism in Fred's latest attempt is not quite like you describe. The variables a and b are not detection results, but detector angles. So, if the hidden variable satisfy a certain condition the detector angle is simply set to zero. This is of course absurd, since the setting of the detectors should not depend on the value of the hidden variable.
Heinera wrote:gill1109 wrote:The subtractions aa = (a - a) and bb = (b - b) mean that CA and CB contain values -1, 0 and +1, and these values go into AliceD and BobD too. This means that when you count joint outcomes pPP, pPN, pNP, pNN you only count the +/-1's. The claim "No Events are Dropped" is not quite true. They are not explicitly dropped. But they are not counted.
While these subtractions are indeed the culprits, the mechanism in Fred's latest attempt is not quite like you describe. The variables a and b are not detection results, but detector angles. So, if the hidden variable satisfy a certain condition the detector angle is simply set to zero. This is of course absurd, since the setting of the detectors should not depend on the value of the hidden variable.
FrediFizzx wrote:Heinera wrote:gill1109 wrote:The subtractions aa = (a - a) and bb = (b - b) mean that CA and CB contain values -1, 0 and +1, and these values go into AliceD and BobD too. This means that when you count joint outcomes pPP, pPN, pNP, pNN you only count the +/-1's. The claim "No Events are Dropped" is not quite true. They are not explicitly dropped. But they are not counted.
While these subtractions are indeed the culprits, the mechanism in Fred's latest attempt is not quite like you describe. The variables a and b are not detection results, but detector angles. So, if the hidden variable satisfy a certain condition the detector angle is simply set to zero. This is of course absurd, since the setting of the detectors should not depend on the value of the hidden variable.
Yes, that is what it looks like at first glance. And no events are dropped. What happens is all the events during the constraints are at 0 lab frame angle and average to -1. Well, at 360 degrees in the plot since I shifted everything by 2pi since theta is used as an index.
However, this might be subject to some interpretation. It is not the hidden variable that necessarily "causes" the a and b vectors to become null vectors during the constraints. It could be S^3 topological action. Of course I will need to show the math of how that works then. That is the part that I am stuck on right now. Another option to consider is that the topological action needs to be in the "then" function part and then a and b don't become null vectors.
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gill1109 wrote:FrediFizzx wrote:Yes, that is what it looks like at first glance. And no events are dropped. What happens is all the events during the constraints are at 0 lab frame angle and average to -1. Well, at 360 degrees in the plot since I shifted everything by 2pi since theta is used as an index.
However, this might be subject to some interpretation. It is not the hidden variable that necessarily "causes" the a and b vectors to become null vectors during the constraints. It could be S^3 topological action. Of course I will need to show the math of how that works then. That is the part that I am stuck on right now. Another option to consider is that the topological action needs to be in the "then" function part and then a and b don't become null vectors.
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OK, so in a sense no events are dropped. They are all represented somewhere in your graph. But the events which go to make up the value of the curve at any setting difference theta not equal to zero, are only those events where the difference in the settings was theta *and* both particles were detected. Not *all* the events where the difference in settings was theta.
You performed a non local operation: if either particle is not detected then the settings of both those particles are altered and the outcomes are altered too.
FrediFizzx wrote:Here is one for you produced by the +/-1 outcomes during the constraints. If you subtract that from the straight line data, you get the negative cosine curve.
gill1109 wrote:FrediFizzx wrote:Here is one for you produced by the +/-1 outcomes during the constraints. If you subtract that from the straight line data, you get the negative cosine curve.
Cool!
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