Ejemplo n.º 1
0
def diagonal_file(data_folder, op):
    corrfile = data_folder + cor_template.format(op, op)
    if(args.no_vev):
        return build_corr.corr_and_vev_from_files(corrfile, cfgs=args.configs, ts=args.times)
    else:
        vev_file = data_folder + vev_template.format(op)
        return build_corr.corr_and_vev_from_files(corrfile, vev_file, vev_file, cfgs=args.configs, ts=args.times)
Ejemplo n.º 2
0
def off_diagonal_file(data_folder, src_op, snk_op):
    corrfile = data_folder + cor_template.format(src_op, snk_op)
    if(args.no_vev):
        return build_corr.corr_and_vev_from_files(corrfile, cfgs=args.configs, ts=args.times)
    else:
        src_vev_file = data_folder + vev_template.format(src_op)
        snk_vev_file = data_folder + vev_template.format(snk_op)
        return build_corr.corr_and_vev_from_files(corrfile, src_vev_file, snk_vev_file, cfgs=args.configs, ts=args.times)
Ejemplo n.º 3
0
def ratio_files(files, options):
    # data = [plot_files.read_file(f) for f in files]
    c1 = build_corr.corr_and_vev_from_files(files[0], None, None)
    c2 = build_corr.corr_and_vev_from_files(files[1], None, None)

    a1 = c1.average_sub_vev()
    a2 = c2.average_sub_vev()

    ratio = {}
    for t in c1.times:
        print t
        print a1[t], a2[t]
        print a2[t]/a1[t]
        ratio[t] = a2[t]/a1[t]

    if options.output_stub:
        filename = options.output_stub+".ratio"
        logging.info("writing ratio to {}".format(filename))
        with open(filename, 'w') as ofile:
            for t,v in ratio.iteritems():
                ofile.write("{}, {}\n".format(t,v))
Ejemplo n.º 4
0
            [c.get(config=cfg,time=t)
             for c in corr_matrix.flat]).reshape(2,2)) for t in times]
                               

def split_matrix_of_cors(corr_matrix, vevs):
    """ Takes a dictionar whose elements are """
    pass
        
if __name__ == "__main__":
    logging.basicConfig(format='%(levelname)s: %(message)s', level=logging.DEBUG)

    exampledir = "/home/bfahy/r3/effectivemasses/meyer_binned/total/"
    corfile11 = exampledir +  "binned_500_a1pp_0_optype0_op1_a1pp_0_optype0_op1.cor"
    vev1file = exampledir + "binned_500_a1pp_0_optype0_op1_a1pp_0_optype0_op1.vev1"
    vev2file = exampledir + "binned_500_a1pp_0_optype0_op1_a1pp_0_optype0_op1.vev2"
    cor11 = build_corr.corr_and_vev_from_files(corfile11, vev1file, vev2file)

    corfile12 = exampledir + "binned_500_a1pp_0_optype0_op1_a1pp_0_optype10_op1.cor"
    vev1file = exampledir + "binned_500_a1pp_0_optype0_op1_a1pp_0_optype10_op1.vev1"
    vev2file = exampledir + "binned_500_a1pp_0_optype0_op1_a1pp_0_optype10_op1.vev2"
    cor12 = build_corr.corr_and_vev_from_files(corfile12, vev1file, vev2file)
    
    # corfile21 = exampledir + "binned_500_a1pp_0_optype10_op1_a1pp_0_optype0_op1.cor"
    # vev1file = exampledir + "binned_500_a1pp_0_optype10_op1_a1pp_0_optype0_op1.vev1"
    # vev2file = exampledir + "binned_500_a1pp_0_optype10_op1_a1pp_0_optype0_op1.vev2"
    # cor21 = build_corr.corr_and_vev_from_files(corfile21, vev1file, vev2file)

    cor21 = cor12

    corfile22 = exampledir + "binned_500_a1pp_0_optype10_op1_a1pp_0_optype10_op1.cor"
    vev1file = exampledir + "binned_500_a1pp_0_optype10_op1_a1pp_0_optype10_op1.vev1"
Ejemplo n.º 5
0
    if not args.time_start or not args.time_end:
        parser.error("tmin plot requires specifing a fit range")


    if args.output_stub:
        args.output_stub = os.path.splitext(args.output_stub)[0]

    corrfile = args.inputfile
    vev1 = args.vev
    vev2 = vev1
    if args.vev2:
        vev2 = args.vev2

    try:
        cor = build_corr.corr_and_vev_from_files_pandas(corrfile, vev1, vev2)
    except AttributeError:
        logging.info("Failed to read with pandas, reading normal")
        cor = build_corr.corr_and_vev_from_files(corrfile, vev1, vev2)

    if args.symmetric or args.antisymmetric:
        corsym = cor.determine_symmetry()
        if corsym is None:
            logging.error("called with symmetric but correlator isnt")
            raise RuntimeError("called with symmetric but correlator isnt")
        logging.info("correlator found to be {}".format(corsym))
        cor.make_symmetric()


    tmin_plot(funct, cor, args.time_start, args.time_end,
              filestub=args.output_stub, bootstraps=args.bootstraps)