예제 #1
0
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)
예제 #2
0
    "flat",
    "orders",
    "norm_flat",
    "wavecal",
    "curvature",
    "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 = datasets.UVES()
input_dir = "raw/"
output_dir = "reduced/{instrument}/{target}/{night}/{mode}"

config = pyreduce.configuration.get_configuration_for_instrument(instrument,
                                                                 plot=True)

pyreduce.reduce.main(
    instrument,
    target,
    night,
    mode,
    steps,
    base_dir=base_dir,
    input_dir=input_dir,
    output_dir=output_dir,
예제 #3
0
    # "flat",
    # "orders",
    # "norm_flat",
    # "wavecal",
    "curvature",
    # "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 = datasets.UVES("/DATA/PyReduce")
input_dir = "raw/"
output_dir = "reduced/{night}/{mode}"

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,