pypeit.spectrographs.p200_tspec module

Module for P200/Triplespec specific methods.

class pypeit.spectrographs.p200_tspec.P200TSPECSpectrograph[source]

Bases: Spectrograph

Child to handle P200/TripleSpec 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. This is always ignored.

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 = 'TSPEC'

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:
Returns:

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

Return type:

numpy.ndarray

comment = 'TripleSpec spectrograph'

A brief comment or description regarding PypeIt usage with this spectrograph.

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:
Returns:

Metadata value read from the header(s).

Return type:

object

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

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.

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 = 'TSPEC_SPEC'

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.

name = 'p200_tspec'

The name of the spectrograph. See Spectrographs for the currently supported spectrographs.

ndet = 1

Number of detectors for this instrument.

property norders

Number of orders for this spectograph. Should only defined for echelle spectrographs, and it is undefined for the base class.

order_platescale(order_vec, binning=None)[source]

Return the platescale for each echelle order.

This routine is only defined for echelle spectrographs, and it is undefined in the base class.

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.

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 = 'Echelle'

String used to select the general pipeline approach for this spectrograph.

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

property spec_min_max

Return the minimum and maximum spectral pixel expected for the spectral range of each order.

supported = True

Flag that PypeIt code base has been sufficiently tested with data from this spectrograph that it is officially supported by the development team.

telescope = Parameter     Value                Default  Type        Callable ---------------------------------------------------------------- name          P200                 KECK     str         False    longitude     -116.86300000000003  None     int, float  False    latitude      33.35600000000001    None     int, float  False    elevation     1705.999999999058    None     int, float  False    fratio        None                 None     int, float  False    diameter      5.1                  None     int, float  False    eff_aperture  None                 None     int, float  False   

Instance of TelescopePar providing telescope-specific metadata.

url = 'https://sites.astro.caltech.edu/palomar/observer/200inchResources/tspeccookbook.html'

Reference url