MonteCarlo.jl
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Classical and quantum Monte Carlo simulations in Julia
I added `GreensMatrix` and `dagger` to make it easier to deal with `c^\dagger c` and `c c^\dagger` with various indices, but it's still not very intuitive. First of all `dagger`...
This pull request changes the compat entry for the `BinningAnalysis` package from `0.4` to `0.4, 0.5`. This keeps the compat entries for earlier versions. Note: I have not tested your...
Currently `DQMC` (and `MC`) is the root type for a simulation, meaning it holds a bunch stuff together while also representing the algorithm used. This leads to some problems of...
It would be good to test lattice iterators and `LatPhysLattice`, but I'm not sure how with LatticePhysics being an unregistered add-on.
I don't think we use any functionality from `MonteCarloObservable` that isn't in `BinningAnalysis`, so we should switch to just requiring `BinningAnalysis`.
What to compare to? Maybe https://juliaphysics.github.io/PhysicsTutorials.jl/tutorials/machine_learning/ml_ising/ml_ising.html?
Currently the observables are `:conf`, `:Greens` and `:BosonEnergy`. We should document what these are and what the actual data they contain means. In particular, I'm not sure how to interpret...
TODO: - [ ] use jackknife (or ErrorPropagator) for cV - [ ] re-add magnetic susceptibility - [ ] test results (currently only T > T_C are checked, but only...