cvc_read_loops: read HDF5 loop files in the CVC loop format

In hadron: Analysis Framework for Monte Carlo Simulation Data in Physics

read HDF5 loop files in the CVC loop format

Description

The CVC naive_loops code produces HDF5 files which contain a matrix of momenta and the data for the loops (without spin projection) organised by stochastic sample. Currently, the reading code assumes that there is a single configuration stored per file and the "trajectory" parameter in CalcLoops is assumed to take its default value of '4'.

Usage

cvc_read_loops(selections, files, Time, nstoch, verbose = FALSE,
  check_group_names = FALSE)

Arguments

selections	Named list with names from the list 'Naive', 'Scalar', 'dOp', 'Loops' 'LpsDw', 'LpsDwCv', 'LoopsCv' specifying the requesetd loop types. The elements of this list are in turn expected be data frames of the form qx qy qz 0 0 1 -2 1 -3 ... ... ... specifying the momentum combinations to be extracted for each loop type.
files	Vector of strings, list of HDF5 files to be processed.
Time	Integer, time extent of the lattice.
nstoch	Integer, number of stochastic samples to be expected in file.
verbose	Boolean, output I/O time per file. Requires 'tictoc' package. Default FALSE.
check_group_names	Boolean, check if the group names that we're about to read actually exist in the file. This is quite slow because it uses rhdf5::h5ls. Default FALSE.

Value

Named nested list of the same length as selections containg the loop data in the raw_cf format. Each named element corresponds to one loop type and each element of the underlying numbered list corresponds to one momentum combination as specified via selections for this loop type in the same order.

hadron documentation built on Sept. 9, 2022, 5:06 p.m.