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seen May 14 at 16:52

Jul
2
awarded  Curious
Nov
11
asked Dopant Charge Transfer and Fermi Level shift
Mar
20
awarded  Promoter
Mar
15
asked What limits the maximum attainable Fermi Energy for a material experimentally?
Nov
20
awarded  Tumbleweed
Nov
13
asked Thomas-Fermi approximation and the dielectric function (+ small bit on graphene)
Oct
1
asked Understanding Resonance States in Condensed Matter
Sep
29
accepted Weak Anti-Localization
Sep
28
comment Weak Anti-Localization
Okay I think I see where I went wrong. With weak localization, the back scattering is enhanced due to the constructive interference of the paths around the closed loop. With weak anti-localization because the spin is related to the momentum which depends on the path then the "forward" and "backward" paths interfere destructively so there is a lower amplitude on the backscattering paths, hence electrons are more likely to travel through the medium and resistivity decreases?
Sep
27
asked Weak Anti-Localization
Jul
30
accepted Average Neighbouring Impurity Separation in a Random 1D chain
Jul
30
comment Average Neighbouring Impurity Separation in a Random 1D chain
@IlmariKaronen what is the reason behind why for a small system we get a distribution that deviates (slightly) from a geometric one? You mentioned that as L increases you can treat the impurities as being I.I.D, but that this isn't true for small L. Why is this?
Jul
26
revised Average Neighbouring Impurity Separation in a Random 1D chain
added 242 characters in body
Jul
26
revised Average Neighbouring Impurity Separation in a Random 1D chain
added 840 characters in body
Jul
26
comment Average Neighbouring Impurity Separation in a Random 1D chain
Added the code above in the OP since this is kind of hard to read and SE isn't letting me delete my comment
Jul
26
revised Average Neighbouring Impurity Separation in a Random 1D chain
added 465 characters in body
Jul
26
comment Average Neighbouring Impurity Separation in a Random 1D chain
This is an interesting idea, I found my PRNG online but it uses the system clock to generate the numbers. I'll attach the code below, is there any flaw in this that could be causing my strange blip? 'CALL RANDOM_SEED(size = n) ALLOCATE(seed(n)) CALL SYSTEM_CLOCK(COUNT=clock) !!! intentionally slows it down to prevent succesive calls from returning the same number do i = 1 , 1000000 end do seed = clock + 37 * (/ (i - 1, i = 1, n) /) CALL RANDOM_SEED(PUT = seed) call random_number(x)'
Jul
25
comment Average Neighbouring Impurity Separation in a Random 1D chain
Yes I did it exactly the way you described Ron, I commented below on what I found using a larger system. Also here is the link to the Maths.SE thread link
Jul
25
comment Average Neighbouring Impurity Separation in a Random 1D chain
Ilmari is right, I was only considering the nearest neighbour pairs, not between each in the whole ensemble. I also tried a larger system size (N=2000) and it does fit a geometric distribution so I would say your idea is right. However, is there a reason why I get a 'blip' that looks kind of like a Poisson distribution for smaller size systems? I would have thought that given a smaller system size the impurities are going to be closer together, however the data I got seems to peak around D=10. Thanks for your help guys, really appreciate it.
Jul
25
awarded  Commentator