"""
Module for TNG/Dolores
.. include:: ../include/links.rst
"""
import numpy as np
from astropy.time import Time
from pypeit import msgs
from pypeit import telescopes
from pypeit.core import framematch
from pypeit.spectrographs import spectrograph
from pypeit.images import detector_container
[docs]class TNGDoloresSpectrograph(spectrograph.Spectrograph):
"""
Child to handle Shane/Kast specific code
"""
ndet = 1
name = 'tng_dolores'
telescope = telescopes.TNGTelescopePar()
camera = 'DOLORES'
url = 'https://oapd.inaf.it/mos/'
comment = 'DOLORES (LRS) spectrograph; LR-R'
[docs] def get_detector_par(self, det, hdu=None):
"""
Return metadata for the selected detector.
Args:
det (:obj:`int`):
1-indexed detector number.
hdu (`astropy.io.fits.HDUList`_, optional):
The open fits file with the raw image of interest. If not
provided, frame-dependent parameters are set to a default.
Returns:
:class:`~pypeit.images.detector_container.DetectorContainer`:
Object with the detector metadata.
"""
# Detector 1
detector_dict = dict(
binning='1,1',
det = 1,
dataext = 0,
specaxis = 1,
specflip = False,
spatflip = False,
xgap = 0.,
ygap = 0.,
ysize = 1.,
platescale = 0.252,
darkcurr = 0.0, # e-/pixel/hour
saturation = 65500.,
nonlinear = 0.99,
mincounts = -1e10,
numamplifiers = 1,
gain = np.atleast_1d(0.97),
ronoise = np.atleast_1d(9.0),
datasec = np.atleast_1d('[1:2045,51:]'),
oscansec = np.atleast_1d('[2054:,51:]'),
)
return detector_container.DetectorContainer(**detector_dict)
[docs] @classmethod
def default_pypeit_par(cls):
"""
Return the default parameters to use for this instrument.
Returns:
:class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by
all of PypeIt methods.
"""
par = super().default_pypeit_par()
# Set the default exposure time ranges for the frame typing
par['calibrations']['biasframe']['exprng'] = [None, 0.001]
par['calibrations']['darkframe']['exprng'] = [999999, None] # No dark frames
par['calibrations']['pinholeframe']['exprng'] = [999999, None] # No pinhole frames
par['scienceframe']['exprng'] = [1, None]
par['calibrations']['slitedges']['sync_predict'] = 'nearest'
par['calibrations']['arcframe']['process']['clip'] = False
par['calibrations']['arcframe']['process']['combine'] = 'mean'
par['calibrations']['arcframe']['process']['subtract_continuum'] = True
par['calibrations']['tiltframe']['process']['clip'] = False
par['calibrations']['tiltframe']['process']['combine'] = 'mean'
par['calibrations']['tiltframe']['process']['subtract_continuum'] = True
return par
[docs] def config_specific_par(self, scifile, inp_par=None):
"""
Modify the PypeIt parameters to hard-wired values used for
specific instrument configurations.
Args:
scifile (str):
File to use when determining the configuration and how
to adjust the input parameters.
inp_par (:class:`pypeit.par.parset.ParSet`, optional):
Parameter set used for the full run of PypeIt. If None,
use :func:`default_pypeit_par`.
Returns:
:class:`pypeit.par.parset.ParSet`: The PypeIt paramter set
adjusted for configuration specific parameter values.
"""
par = self.default_pypeit_par() if inp_par is None else inp_par
if self.get_meta_value(scifile, 'dispname') == 'LR-B':
par['calibrations']['wavelengths']['reid_arxiv'] = 'tng_dolores_LR-B_arx_v2.fits'
# Add CdI
par['calibrations']['wavelengths']['method'] = 'full_template'
par['calibrations']['wavelengths']['lamps'] = ['NeI', 'HgI', 'HeI']
else:
par['calibrations']['wavelengths']['method'] = 'holy-grail'
msgs.warn('Check wavelength calibration file.')
# Return
return par
[docs] def configuration_keys(self):
"""
Return the metadata keys that define a unique instrument
configuration.
This list is used by :class:`~pypeit.metadata.PypeItMetaData` to
identify the unique configurations among the list of frames read
for a given reduction.
Returns:
:obj:`list`: List of keywords of data pulled from file headers
and used to constuct the :class:`~pypeit.metadata.PypeItMetaData`
object.
"""
return ['dispname', 'decker']
[docs] def check_frame_type(self, ftype, fitstbl, exprng=None):
"""
Check for frames of the provided type.
Args:
ftype (:obj:`str`):
Type of frame to check. Must be a valid frame type; see
frame-type :ref:`frame_type_defs`.
fitstbl (`astropy.table.Table`_):
The table with the metadata for one or more frames to check.
exprng (:obj:`list`, optional):
Range in the allowed exposure time for a frame of type
``ftype``. See
:func:`pypeit.core.framematch.check_frame_exptime`.
Returns:
`numpy.ndarray`_: Boolean array with the flags selecting the
exposures in ``fitstbl`` that are ``ftype`` type frames.
"""
good_exp = framematch.check_frame_exptime(fitstbl['exptime'], exprng)
if ftype in ['science', 'standard']:
return good_exp & (fitstbl['idname'] == 'OBJECT') & (fitstbl['lampstat01'] == 'Parking') \
& (fitstbl['dispname'] != 'OPEN')
if ftype == 'bias':
return good_exp & (fitstbl['dispname'] == 'OPEN')
if ftype in ['pixelflat', 'trace', 'illumflat']:
return good_exp & (fitstbl['idname'] == 'CALIB') & (fitstbl['lampstat01'] == 'Halogen') \
& (fitstbl['dispname'] != 'OPEN')
if ftype in ['pinhole', 'dark']:
# Don't type pinhole or dark frames
return np.zeros(len(fitstbl), dtype=bool)
if ftype in ['arc', 'tilt']:
return good_exp & (fitstbl['idname'] == 'CALIB') & ( (fitstbl['lampstat01'] == 'Ne+Hg') | (fitstbl['lampstat01'] == 'Helium') ) \
& (fitstbl['dispname'] != 'OPEN')
msgs.warn('Cannot determine if frames are of type {0}.'.format(ftype))
return np.zeros(len(fitstbl), dtype=bool)