# Parse command line
parser = argparse.ArgumentParser(description='Do a thing.')
required_args = parser.add_argument_group('Required arguments')
required_args.add_argument("-i",
"--input",
type=str,
help="Input root",
required=True)
required_args.add_argument("-o",
"--output",
type=str,
help="Output root",
required=True)
args = parser.parse_args()
out_name = pyfisher.prepare_output(
args, "save_cmb_fisher.py Planck CMB Fishers run")
param_file = f'./params.txt'
_, fids = pyfisher.get_param_info(param_file, exclude=None)
param_list = list(fids.keys())
F1 = pyfisher.get_planck_cmb_fisher(param_list,
np.arange(2, 31), ['TT'],
args.input,
fsky=1)
F2 = pyfisher.get_planck_cmb_fisher(param_list,
np.arange(30, 2501), ['TT', 'EE', 'TE'],
args.input,
fsky=1)
pyfisher.write_fisher(f'{out_name}_planck_low_ell_TT_fullsky.txt',
default='tau,r',
help="Relative path to directory with experiment info.")
required_args = parser.add_argument_group('Required arguments')
required_args.add_argument("-o",
"--output",
type=str,
help="Output root",
required=True)
required_args.add_argument("-p",
"--param-file",
type=str,
help="Parameter file",
required=True)
args = parser.parse_args()
out_name = pyfisher.prepare_output(args, "save_cmb.py CMB derivatives run")
lens_exclude = args.exclude_in_lensing.split(',')
shutil.copyfile(args.param_file, args.output + "/params.txt")
jobs, fids = pyfisher.get_param_info(args.param_file, exclude=None)
njobs = len(jobs)
comm, rank, my_tasks = mpi.distribute(njobs)
for task in my_tasks:
param, val, ptype = jobs[task]
print(param, val, ptype)
pparams = dict(fids)
if param is None:
assert val is None
assert ptype == 'f'
else:
"--output",
type=str,
help="Output root",
required=True)
required_args.add_argument("-p",
"--param-file",
type=str,
help="Parameter file",
required=True)
parser.add_argument("--exclude",
type=str,
default='tau,r',
help="Relative path to directory with experiment info.")
args = parser.parse_args()
output_root = pyfisher.prepare_output(args, "save_s8_derivs.py s8 deriv run")
exclude = args.exclude.split(',')
jobs, fids = pyfisher.get_param_info(args.param_file, exclude, get_range=True)
shutil.copyfile(args.param_file, args.output + "/params.txt")
njobs = len(jobs)
comm, rank, my_tasks = mpi.distribute(njobs)
for task in my_tasks:
param, pmin, pmax = jobs[task]
print(param, pmin, pmax)
vals = np.linspace(pmin, pmax, args.nsteps)
s8s = []
pl = io.Plotter(xyscale='linlin',
xlabel=pyfisher.latex_mapping[param],
ylabel=pyfisher.latex_mapping['s8'])
default='As,ns,tau,r',
help="Relative path to directory with experiment info.")
required_args = parser.add_argument_group('Required arguments')
required_args.add_argument("-o",
"--output",
type=str,
help="Output root",
required=True)
required_args.add_argument("-p",
"--param-file",
type=str,
help="Parameter file",
required=True)
args = parser.parse_args()
output_root = pyfisher.prepare_output(args,
"save_bao.py BAO Fisher Matrix run")
exclude = args.exclude.split(',')
zs, sig_pers = pyfisher.load_bao_experiment_rs_dV_diagonal(
args.exp_name, args.input_path, boss_include=args.boss_include.split(','))
jobs, fids = pyfisher.get_param_info(args.param_file, exclude)
shutil.copyfile(args.param_file, args.output + "/params.txt")
njobs = len(jobs)
comm, rank, my_tasks = mpi.distribute(njobs)
for task in my_tasks:
param, val, ptype = jobs[task]
print(param, val, ptype)
pparams = dict(fids)
if param is None:
assert val is None