Hi Jia,
the autocorrelation time has nothing to do with the inverse temperature. Its units are ‘Monte Carlo steps’. Having a large autocorrelation time means you need many Monte Carlo steps until you measure a new configuration, i.e. your updates are not efficient. If your autocorrelation time gets to be on the order of the simulation time (again, measured in Monte Carlo steps) your results will be unreliable.
The easiest way to overcome autocorrelation problems in the hybridization expansion is to increase the temperature. At high T your updates will be efficient, your autocorrelation times short, and your measurements reliable. Then gradually decrease T and see what happens to your results and errors.
Best,
Emanuel
Dear Prof. Emanuel Gull,
Thank you very much for your help. Now, I have auto-correlation time for certain observables. I have one following question. If the auto-correlation time I got for a observable is larger than beta, is that a good indication of bad sampling, thus unreliable measurement? I am still not very used to imaginary time... Thank you again!
Cheers
Jia