gill1109 wrote:minkwe wrote:I do not see any direct response here to the mathematical arguments I made against your paper.
Your arguments are irrelevant.
minkwe wrote:Secondly if you read my README file you will notice the warning that the particles are not necessarily in pairs only being paired 99.9% of the time.
It should not be difficult for you to fix that defect of your program. Please add in the output lists also identification of the "lost" particles. I am talking about a simulation with 100% detection.
[added later: I fixed this defect myself. I do have truly 100% detection].
gill1109 wrote:Michel says that I should not have made the detectors 100% effficient. He does insist on this point in the readme file, too.
gill1109 wrote:I made it perfect. Less realistic, I know. You need to add a whole lot more single particles to make your model realistic by current standards.
gill1109 wrote:Suppose I change "4.0" to "6.0". Is that a "completely different simulation"?
gill1109 wrote:You need to add a whole lot more single particles to make your model realistic by current standards.
gill1109 wrote:PS since my detectors are now 100% efficient and since Michel's data files maintain the order that the particles were generated in, I can easily pair *all* events. Now I get a perfect loophole free experiment ... but unfortunately it has CHSH <= 2, up to statistical error of course.
minkwe wrote:gill1109 wrote:PS since my detectors are now 100% efficient and since Michel's data files maintain the order that the particles were generated in, I can easily pair *all* events. Now I get a perfect loophole free experiment ... but unfortunately it has CHSH <= 2, up to statistical error of course.
My detectors were already 100% perfect, so you are clearly wrong. I would suggest that you make the same assumption that all particles are paired in any real experiment of your choice, including the recent Giustina experiment which claims to have "closed the coincidence loophole". I suggest you use the same data analysis procedure and assumptions you just introduced, and post the results here. It will be revealing.
minkwe wrote:gill1109 wrote:Suppose I change "4.0" to "6.0". Is that a "completely different simulation"?
It doesn't matter, what you really want to do is to introduce the assumption that all particles are paired. So that you may analyse the data with that assumption in mind.
minkwe wrote:gill1109 wrote:I made it perfect. Less realistic, I know. You need to add a whole lot more single particles to make your model realistic by current standards.
No you did not. My source is already perfect. It behaves the way it is meant to behave. You don't have to like it, but that is the model. You changed the model. You are free to have your own standards of how a source should behave but results you compute according to those assumptions will not tell you anything about my simulation , or the real world experiments it attempts to model.
minkwe wrote:Larsson & Gill wrote:Correlations are obtained on subsets of Λ, namely on
ΛAC′ , ΛAD′ , ΛBC′ , or ΛBD′ . (iv)
Then
E(AC′|ΛAC′ ) + E(AD′|ΛAD′ ) + E(BC′|ΛBC′ ) − E(BD′|ΛBD′ ) ≤ 4 − 2δ. (11)
Proof. The proof consists of two steps; the first part is similar to the proof of Theorem 1,
using the intersection ΛI = ΛAC′ ∩ ΛAD′ ∩ ΛBC′ ∩ ΛBD′ , (12)
on which coincidences occur for all relevant settings. This ensemble may be empty, but only
when δ = 0 and then the inequality is trivial, so δ > 0 can be assumed in the rest of the proof.
E(AC′|ΛI) + E(AD′|ΛI) +E(BC′|ΛI) − E(BD′|ΛI) ≤ 2. (13)
Now it is easy to see that the set is empty: None of the particle pairs in any of the 4 sets measured in any EPR-experiments ever performed or performable in the future is a member of any of the other sets. The sets used for calculating each of the terms is disjoint from all the others, therefore ΛI is a null set. Do you deny this?
minkwe wrote: I would suggest that you make the same assumption that all particles are paired in any real experiment of your choice, including the recent Giustina experiment which claims to have "closed the coincidence loophole". I suggest you use the same data analysis procedure and assumptions you just introduced, and post the results here. It will be revealing.
minkwe wrote:minkwe wrote:Larsson & Gill wrote:Correlations are obtained on subsets of Λ, namely on
ΛAC′ , ΛAD′ , ΛBC′ , or ΛBD′ . (iv)
Then
E(AC′|ΛAC′ ) + E(AD′|ΛAD′ ) + E(BC′|ΛBC′ ) − E(BD′|ΛBD′ ) ≤ 4 − 2δ. (11)
Proof. The proof consists of two steps; the first part is similar to the proof of Theorem 1,
using the intersection ΛI = ΛAC′ ∩ ΛAD′ ∩ ΛBC′ ∩ ΛBD′ , (12)
on which coincidences occur for all relevant settings. This ensemble may be empty, but only
when δ = 0 and then the inequality is trivial, so δ > 0 can be assumed in the rest of the proof.
E(AC′|ΛI) + E(AD′|ΛI) +E(BC′|ΛI) − E(BD′|ΛI) ≤ 2. (13)
Now it is easy to see that the set is empty: None of the particle pairs in any of the 4 sets measured in any EPR-experiments ever performed or performable in the future is a member of any of the other sets. The sets used for calculating each of the terms is disjoint from all the others, therefore ΛI is a null set. Do you deny this?
No response.
minkwe wrote:minkwe wrote: I would suggest that you make the same assumption that all particles are paired in any real experiment of your choice, including the recent Giustina experiment which claims to have "closed the coincidence loophole". I suggest you use the same data analysis procedure and assumptions you just introduced, and post the results here. It will be revealing.
No response.
gill1109 wrote:Let me remind you of the Larsson-Gill claim: it is only possible to get CHSH approx equal to 2 sqrt 2 with a simulation like yours when the coincidence rate is below 87.87%.
For instance: it is not possible to get the coincidence rate to 90% (i.e. a bit above 87.87%) and at the same time CHSH above 2.82 (i.e. pretty close to 2 sqrt 2, or even better)
Both numbers refering to the limit as the experiment gets indefinitely large. There can obviously be chance fluctuations in both numbers in a finite experiment - you do know the 1 over square root of N law, I am sure.
Your own simulation results confirm our predictions.
gill1109 wrote:Why don't you spend some time trying empirically to prove that we are wrong? Tweak your simulation so that it has coincidence rate 90% or better and, at the same time, CHSH equal to 2.8 or better (up to statistical error). Can you do it?
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