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### Re: DMC timestep bias asymptotic

Posted: Thu May 24, 2018 9:03 am
In these cases, instead of fitting a+b.tau^(1/2)+c.tau... to the DMC energy, it might be better to fit (a+b.tau+c.tau^2)/(1+D.tau) to the energy against time step tau. This describes a crossover between two different linear bias regimes.

Best wishes,

Neil.

### Re: DMC timestep bias asymptotic

Posted: Thu May 24, 2018 12:11 pm
Neil Drummond wrote:In these cases, instead of fitting a+b.tau^(1/2)+c.tau... to the DMC energy, it might be better to fit (a+b.tau+c.tau^2)/(1+D.tau) to the energy against time step tau. This describes a crossover between two different linear bias regimes.

Best wishes,

Neil.
woohoo excellent!
timestep bias
be2.png (7.78 KiB) Viewed 23715 times
but this is very bad news for me, because the correlation length is where the red line, and 1/(3*Z^2) is where the black.

### Re: DMC timestep bias asymptotic

Posted: Thu May 24, 2018 12:49 pm
Thanks for sending the graph. I think I'll stick to plane waves and pseudopotentials...

Best wishes,

Neil.

### Re: DMC timestep bias asymptotic

Posted: Fri May 25, 2018 6:29 am
Neil Drummond wrote:Thanks for sending the graph. I think I'll stick to plane waves and pseudopotentials...

Best wishes,

Neil.
Hello Neil

I want to make one very important comment for that fitting

E = (a+b.tau+c.tau^2)/(1+D.tau)

Where:
a is E at (tau->0)
b is slope at (tau->0)
c/d is slope at (tau->inf)

I interpolated all my data with this equation and got better or comparable to other eqs (within the error) results, but when the number of points at small tau is insufficient to determine the b value because error of b is compatible with its abs value, we can effectively set b=0 and then reinterpolate the data with simple equation. In this case we can nevertheless determine a with a small enough error and find out a parabolic-like dependence between E and tau at small tau.
This also explains many of the previously published E(tau) dependencies.