def settings(instrument):
"""Combine run specific configuration with default settings
Parameters
----------
config : dict(str:obj)
run specific settings
Returns
-------
settings : dict(str:obj)
updated settings
"""
return configuration.get_configuration_for_instrument(instrument,
plot=False)
def settings(instrument):
"""Combine run specific configuration with default settings
Parameters
----------
config : dict(str:obj)
run specific settings
Returns
-------
settings : dict(str:obj)
updated settings
"""
settings = configuration.get_configuration_for_instrument(instrument,
plot=False)
settings["wavecal"]["manual"] = False
settings["orders"]["manual"] = False
return settings
# "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)
base_dir = "/DATA/ESO/CRIRES+"
input_dir = "tdata/CD13/UNCLASSIFIED"
output_dir = "reduced/{mode}/"
# Path to the configuration parameters, that are to be used for this reduction
config = 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,
configuration=config,
order_range=(0, 4),
)
def config(supported_instrument):
return get_configuration_for_instrument(supported_instrument)
# define parameters
instrument = "HARPS"
target = "HD109200"
night = "2015-04-09"
mode = "red"
# 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)
base_dir = datasets.HARPS("/DATA/PyReduce")
input_dir = "raw"
output_dir = f"reduced_{mode}"
config = configuration.get_configuration_for_instrument(instrument, plot=False)
f = os.path.join(base_dir, output_dir, "harps_red.thar.npz")
data = np.load(f, allow_pickle=True)
thar = data["thar"]
wave = data["wave"]
f = os.path.join(base_dir, output_dir, "harps_red.comb.npz")
data = np.load(f, allow_pickle=True)
comb = data["comb"]
ndim = 2
kwargs = config["wavecal"]
kwargs_comb = config["freq_comb"]
kwargs["dimensionality"] = f"{ndim}D"
kwargs_comb["dimensionality"] = f"{ndim}D"
# "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)
base_dir = "/DATA/ESO/CRIRES+/pCOMM/210824_mincal"
input_dir = "J1228/"
output_dir = "{mode}_reduced/"
# Path to the configuration parameters, that are to be used for this reduction
config = get_configuration_for_instrument(instrument,
plot=1,
bias_scaling="exposure_time")
pyreduce.reduce.main(
instrument,
target,
night,
mode,
steps,
base_dir=base_dir,
input_dir=input_dir,
output_dir=output_dir,
configuration=config,
allow_calibration_only=True,
# order_range=(0, 4),
)
bpm_mask = "path/to/bpm_mask.fits"
wavecal_file = "path/to/wavecal_file"
# create our custom instrument
instrument = create_custom_instrument("custom",
extension=1,
mask_file=bpm_mask,
wavecal_file=wavecal_file)
# Override default values
# those can either be fixed values or refer to FITS header keywords
instrument.info["readnoise"] = 1
instrument.info["prescan_x"] = "PRESCAN X"
# For loading the config we specify pyreduce as the source, since this is the default
config = get_configuration_for_instrument("pyreduce", plot=1)
# Define your own configuration
config["orders"]["degree"] = 5
# Since we can't find the files ourselves (at least not without defining the criteria we are looking for)
# We need to manually define which files go where
files = {"bias": ["file1", "file2"], "flat": ["file3"]}
# We define the path to the output directory
output_dir = "path/to/output"
# (optional) We need to define the log file
log_file = "path/to/log_file.txt"
start_logging(log_file)
# Define other parameter for PyReduce
def test_validation():
config = conf.get_configuration_for_instrument("UVES")
config["orders"]["degree"] = -1
with pytest.raises(ValueError):
conf.validate_config(config)