pypeit.spectrographs.gemini_gnirs module

Module for Gemini/GNIRS specific methods.

class pypeit.spectrographs.gemini_gnirs.GNIRSIFUSpectrograph[source]

Bases: GeminiGNIRSSpectrograph

config_specific_par(scifile, inp_par=None)[source]

Modify the PypeIt parameters to hard-wired values used for specific instrument configurations.

Parameters:

scifile (str) – File to use when determining the configuration and how to adjust the input parameters.
inp_par (ParSet, optional) – Parameter set used for the full run of PypeIt. If None, use default_pypeit_par().

Returns:

The PypeIt parameter set adjusted for configuration specific parameter values.

Return type:

ParSet

classmethod default_pypeit_par()[source]

Return the default parameters to use for this instrument.

Returns:: Parameters required by all of PypeIt methods.
Return type:: PypeItPar

get_datacube_bins(slitlength, minmax, num_wave)[source]

Calculate the bin edges to be used when making a datacube.

Parameters:

slitlength (int) – Length of the slit in pixels
minmax (numpy.ndarray) – An array with the minimum and maximum pixel locations on each slit relative to the reference location (usually the centre of the slit). Shape must be \((N_{\rm slits},2)\), and is typically the array returned by get_radec_image().
num_wave (int) –

Number of wavelength steps. Given by::
int(round((wavemax-wavemin)/delta_wave))

:param tuple: Three 1D numpy.ndarray providing the bins to use :param when constructing a histogram of the spec2d files. The elements: :param are \(: :type are :math:\): x,y,lambda

get_wcs(hdr, slits, platescale, wave0, dwv, spatial_scale=None)[source]

Construct/Read a World-Coordinate System for a frame.

Parameters:

hdr (astropy.io.fits.Header) – The header of the raw frame. The information in this header will be extracted and returned as a WCS.
slits (SlitTraceSet) – Slit traces.
platescale (float) – The platescale of an unbinned pixel in arcsec/pixel (e.g. detector.platescale).
wave0 (float) – The wavelength zeropoint.
dwv (float) – Change in wavelength per spectral pixel.

Returns:

The world-coordinate system.

Return type:

astropy.wcs.WCS

init_meta()[source]

Define how metadata are derived from the spectrograph files.

That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using meta.

name = 'gemini_gnirs_ifu': The name of the spectrograph. See Spectrographs for the currently supported spectrographs.

pypeit_file_keys()[source]

Define the list of keys to be output into a standard PypeIt file.

Returns:: The list of keywords in the relevant PypeItMetaData instance to print to the PypeIt Reduction File.
Return type:: list

pypeline = 'SlicerIFU': String used to select the general pipeline approach for this spectrograph.

class pypeit.spectrographs.gemini_gnirs.GeminiGNIRSEchelleSpectrograph[source]

Bases: GeminiGNIRSSpectrograph

Child to handle Gemini/GNIRS echelle specific code

config_specific_par(scifile, inp_par=None)[source]

Modify the PypeIt parameters to hard-wired values used for specific instrument configurations.

Parameters:

scifile (str) – File to use when determining the configuration and how to adjust the input parameters.
inp_par (ParSet, optional) – Parameter set used for the full run of PypeIt. If None, use default_pypeit_par().

Returns:

The PypeIt parameter set adjusted for configuration specific parameter values.

Return type:

ParSet

ech_fixed_format = True: If an echelle spectrograph, this will be set to a boolean indicating whether it is a fixed format or tiltable echelle.

name = 'gemini_gnirs_echelle': The name of the spectrograph. See Spectrographs for the currently supported spectrographs.

property norders: Number of orders for this spectograph.

order_platescale(order_vec, binning=None)[source]

Return the platescale for each echelle order.

Parameters:

order_vec (numpy.ndarray) – The vector providing the order numbers.
binning (str, optional) – The string defining the spectral and spatial binning.

Returns:

An array with the platescale for each order provided by order.

Return type:

numpy.ndarray

property order_spat_pos: Return the expected spatial position of each echelle order.

property orders: Return the order number for each echelle order.

pypeline = 'Echelle': String used to select the general pipeline approach for this spectrograph.

property spec_min_max: Return the minimum and maximum spectral pixel expected for the spectral range of each order.

class pypeit.spectrographs.gemini_gnirs.GeminiGNIRSSpectrograph[source]

Bases: Spectrograph

Child to handle Gemini/GNIRS specific code

bpm(filename, det, shape=None, msbias=None)[source]

Generate a default bad-pixel mask.

Even though they are both optional, either the precise shape for the image (shape) or an example file that can be read to get the shape (filename using get_image_shape()) must be provided.

Parameters:

filename (str or None) – An example file to use to get the image shape.
det (int) – 1-indexed detector number to use when getting the image shape from the example file.
shape (tuple, optional) – Processed image shape Required if filename is None Ignored if filename is not None
msbias (numpy.ndarray, optional) – Processed bias frame used to identify bad pixels

Returns:

An integer array with a masked value set to 1 and an unmasked value set to 0. All values are set to 0.

Return type:

numpy.ndarray

camera = 'GNIRS': Name of the spectrograph camera or arm. This is used by specdb, so use that naming convention

check_frame_type(ftype, fitstbl, exprng=None)[source]

Check for frames of the provided type.

Parameters:

ftype (str) – Type of frame to check. Must be a valid frame type; see frame-type Definitions.
fitstbl (astropy.table.Table) – The table with the metadata for one or more frames to check.
exprng (list, optional) – Range in the allowed exposure time for a frame of type ftype. See pypeit.core.framematch.check_frame_exptime().

Returns:

Boolean array with the flags selecting the exposures in fitstbl that are ftype type frames.

Return type:

numpy.ndarray

compound_meta(headarr, meta_key)[source]

Methods to generate metadata requiring interpretation of the header data, instead of simply reading the value of a header card.

Parameters:

headarr (list) – List of astropy.io.fits.Header objects.
meta_key (str) – Metadata keyword to construct.

Returns:

Metadata value read from the header(s).

Return type:

object

config_specific_par(scifile, inp_par=None)[source]

Modify the PypeIt parameters to hard-wired values used for specific instrument configurations.

Parameters:

scifile (str) – File to use when determining the configuration and how to adjust the input parameters.
inp_par (ParSet, optional) – Parameter set used for the full run of PypeIt. If None, use default_pypeit_par().

Returns:

The PypeIt parameter set adjusted for configuration specific parameter values.

Return type:

ParSet

configuration_keys()[source]

Return the metadata keys that define a unique instrument configuration.

This list is used by PypeItMetaData to identify the unique configurations among the list of frames read for a given reduction.

Returns:: List of keywords of data pulled from file headers and used to constuct the PypeItMetaData object.
Return type:: list

classmethod default_pypeit_par()[source]

Return the default parameters to use for this instrument.

Returns:: Parameters required by all of PypeIt methods.
Return type:: PypeItPar

get_detector_par(det, hdu=None)[source]

Return metadata for the selected detector.

Parameters:

det (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:

Object with the detector metadata.

Return type:

DetectorContainer

header_name = 'GNIRS': Name of the spectrograph camera or arm from the Header. Usually the INSTRUME card.

init_meta()[source]

Define how metadata are derived from the spectrograph files.

That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using meta.

ndet = 1: Number of detectors for this instrument.

pypeit_file_keys()[source]

Define the list of keys to be output into a standard PypeIt file.

Returns:: The list of keywords in the relevant PypeItMetaData instance to print to the PypeIt Reduction File.
Return type:: list

raw_header_cards()[source]

Return additional raw header cards to be propagated in downstream output files for configuration identification.

The list of raw data FITS keywords should be those used to populate the configuration_keys() or are used in config_specific_par() for a particular spectrograph, if different from the name of the PypeIt metadata keyword.

This list is used by subheader_for_spec() to include additional FITS keywords in downstream output files.

Returns:: List of keywords from the raw data files that should be propagated in output files.
Return type:: list

telescope = Parameter Value Default Type Callable --------------------------------------------------------------- name GEMINI-N KECK str False longitude -155.4690467527778 None int, float False latitude 19.823801447222227 None int, float False elevation 4213.000000001549 None int, float False fratio None None int, float False diameter 8.1 None int, float False eff_aperture None None int, float False : Instance of TelescopePar providing telescope-specific metadata.

url = 'https://www.gemini.edu/instrumentation/gnirs': Reference url