pypeit.spectrographs.magellan_fire module

Module for Magellan/FIRE specific methods.

Important Notes:

  • If you are reducing old FIRE data (before the broken happened in 2016), please change the ord_spat_pos array (see lines from ~220 to ~230)

class pypeit.spectrographs.magellan_fire.MagellanFIREEchelleSpectrograph[source]

Bases: MagellanFIRESpectrograph

Child to handle Magellan/FIRE Echelle data

Note

For FIRE Echelle, we usually use high gain and SUTR read mode. The exposure time is usually around 900s. The detector parameters below are based on such mode. Standard star and calibrations are usually use Fowler 1 read mode in which case the read noise is ~20 electron.

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 = 'Magellan/FIRE in echelle mode'

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

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

property dloglam

Return the logarithmic step in wavelength for output spectra.

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

property loglam_minmax

Return the base-10 logarithm of the first and last wavelength for ouput spectra.

name = 'magellan_fire'

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

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.

Note that FIRE has no binning.

Parameters:

  • order_vec (numpy.ndarray) – The vector providing the order numbers.

  • binning (str, optional) – The string defining the spectral and spatial binning. This is always ignored.

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.

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.

class pypeit.spectrographs.magellan_fire.MagellanFIRELONGSpectrograph[source]

Bases: MagellanFIRESpectrograph

Child to handle Magellan/FIRE high-throughput data

Note

For FIRE longslit, science data are usually taken with SUTR readout mode with ~600s exposure (at least for quasar hunting people) and the readout noise is ~6 e-

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 = 'Magellan/FIRE in long-slit/high-throughput mode'

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

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

name = 'magellan_fire_long'

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

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.

class pypeit.spectrographs.magellan_fire.MagellanFIRESpectrograph[source]

Bases: Spectrograph

Child to handle Magellan/FIRE specific code

Note

For FIRE Echelle, we usually use high gain and SUTR read mode. The exposure time is usually around 900s. The detector parameters below are based on such mode. Standard star and calibrations are usually use Fowler 1 read mode in which case the read noise is ~20 electron.

camera = 'FIRE'

Name of the spectrograph camera or arm. This is used by specdb, so use that naming convention

header_name = 'FIRE'

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

telescope = Parameter     Value                Default  Type        Callable ---------------------------------------------------------------- name          MAGELLAN             KECK     str         False    longitude     -70.70166666666665   None     int, float  False    latitude      -29.003333333333334  None     int, float  False    elevation     2281.9999999994607   None     int, float  False    fratio        None                 None     int, float  False    diameter      6.5                  None     int, float  False    eff_aperture  None                 None     int, float  False   

Instance of TelescopePar providing telescope-specific metadata.

url = 'http://web.mit.edu/~rsimcoe/www/FIRE/index.html'

Reference url