How do we implement those processes?

advertisement

Concepts and implementation of

CT-QMC

Markus Dutschke

Dec. 6th 2013

(St. Nicholas` Day)

1

This is where the magic happens !

impurity modell

G imp

G

DMFT

G lattice lattice modell

2

CT-QMC solver

• Most flexible solver

• Restricted to finite temperature

3

Content

• Motivation

• Analytic foundations

• Monte Carlo algorithm

• Implementation and problems

• Results

4

5

Spinless non interacting single impurity Anderson model

NOT the Fermi energy

6

Hybridisation expansion

7

Wick‘s theorem

8

Impurity Green function

Werner, Comanac, Medici, Troyer and Millis, PRL 97, 076405 (2006):

9

Segment picture

Werner et al., PRL, 2006

10

Operator representation of SIAM:

Segment picture:

L: sum of the lengths of all segments

11

Interacting SIAM

12

Spinnless noninteracting SIAM:

Interacting SIAM with spin:

13

Interaction in the Segment picture

14

15

Metropolis-Hasting algorithm

Detailed Balance Condition: Metropolis choice:

16

Detailed Balance Condition: Metropolis choice:

17

Phase space

18

Phase space for one spin channel

19

Update processes

Start configuration:

20

processes?

21

Example: Metropolis-Hasting acceptance probability for add process

Metropolis-Hasting:

Algorithm

Physical problem

Discretisation of configurations:

22

Add process

Add process:

• decide to add a segment

• take a random meshpoint (start of the segment) from the intervall

(if an existing segment is hit -> weight = 0)

• Take a random meshpoint between startpoint and start of the next segment

23

Remove process remove process:

• Decide to remove a segment

• choose a random segment to remove

24

Weight prefactors add the discretisation factor to the weights

25

Metropolis-Hasting in the Segment picture process

Add segment

Remove segment

Add antisegment

Remove antisegment probability

26

27

Note: half open segments

Remember:

28

Quick example: half open segments

29

Numerical precision

30

Now some results ...

31

CT-QMC vs. analytic solution

32

33

34

Computational limits:

35

36

37

Summary

Segment picture: quick and simple

Agreement with analytic solution

38

Outlook

DMFT for the Hubbard model with magnetic Field

Spin up

Spin down

Vollhardt, Ann. Phys, 524:1-19, doi: 10.1002/andp.201100250

39

Acknowledgements:

Junya Otsuki

Liviu Chioncel

Michael Sekania

Jaromir Panas

Christian Gramsch

40

Download