def data(dataset, settings, target, night, mode):
"""
Load dataset data from the web if necessary, and return data folder
#TODO: remove data afterwards?
Parameters
----------
dataset : tuple(str, str)
instrument, target
Returns
-------
directory : str
data directory
"""
instrument, target = dataset
folder = dirname(__file__)
if instrument == "UVES":
folder = datasets.UVES(folder)
elif instrument == "XSHOOTER":
folder = datasets.XSHOOTER(folder)
elif instrument == "JWST_NIRISS":
folder = datasets.JWST_NIRISS(folder)
elif instrument == "NIRSPEC":
folder = datasets.KECK_NIRSPEC(folder)
else:
raise ValueError("Dataset not recognised")
yield folder
odir = _odir(folder, settings, instrument, target, night, mode)
rmtree(odir, ignore_errors=True)
# "norm_flat",
# "curvature",
"wavecal",
"science",
# "continuum",
# "finalize",
)
# some basic settings
# Expected Folder Structure: base_dir/datasets/HD132205/*.fits.gz
# Feel free to change this to your own preference, values in curly brackets will be replaced with the actual values {}
# load dataset (and save the location)
# change the location (as set in datasets() to some folder of you choice)
# or dont pass a path to use the local directory
base_dir = datasets.XSHOOTER("/DATA/PyReduce")
input_dir = "raw"
output_dir = "reduced"
config = pyreduce.configuration.get_configuration_for_instrument(instrument, plot=0)
# config["science"]["extraction_method"] = "arc"
# config["science"]["extraction_cutoff"] = 0
pyreduce.reduce.main(
instrument,
target,
night,
mode,
steps,
base_dir=base_dir,
input_dir=input_dir,
"norm_flat",
"curvature",
"wavecal",
"science",
# "continuum",
"finalize",
)
# some basic settings
# Expected Folder Structure: base_dir/datasets/HD132205/*.fits.gz
# Feel free to change this to your own preference, values in curly brackets will be replaced with the actual values {}
# load dataset (and save the location)
# change the location (as set in datasets() to some folder of you choice)
# or dont pass a path to use the local directory
base_dir = datasets.XSHOOTER()
input_dir = "raw"
output_dir = "reduced"
config = pyreduce.configuration.get_configuration_for_instrument(instrument,
plot=1)
pyreduce.reduce.main(
instrument,
target,
night,
mode,
steps,
base_dir=base_dir,
input_dir=input_dir,
output_dir=output_dir,