Lots of things are new in Marvin 2.2.0. See the list with links to individual sections here http://sdss-marvin.readthedocs.io/en/latest/whats-new.html
In [39]:
%matplotlib inline
from marvin import config
config.switchSasUrl('local')
config.forceDbOff()
In [2]:
from marvin.tools.cube import Cube
plateifu='8485-1901'
cube = Cube(plateifu=plateifu)
print(cube)
maps = cube.getMaps(bintype='HYB10')
print(maps)
WARNING: The binary mode of fromstring is deprecated, as it behaves surprisingly on
unicode inputs. Use frombuffer instead
<Marvin Cube (plateifu='8485-1901', mode='local', data_origin='file')>
<Marvin Maps (plateifu='8485-1901', mode='local', data_origin='file', bintype='HYB10', template='GAU-MILESHC')>
In [3]:
from marvin.tools.maps import Maps
maps = Maps(plateifu)
# or a filename
maps = Maps('/Users/Brian/Work/Manga/analysis/v2_3_1/2.1.3/SPX-GAU-MILESHC/8485/1901/manga-8485-1901-MAPS-SPX-GAU-MILESHC.fits.gz')
print(maps)
<Marvin Maps (plateifu='8485-1901', mode='local', data_origin='file', bintype='SPX', template='GAU-MILESHC')>
In [4]:
# grab an H-alpha flux map
ha = maps['emline_gflux_ha_6564']
# fuzzy name indexing
ha = maps['gflux_ha']
# all map properties are available as class attributes. If using iPython, you can tab complete to see them all.
ha = maps.emline_gflux_ha_6564
WARNING: The binary mode of fromstring is deprecated, as it behaves surprisingly on
unicode inputs. Use frombuffer instead
There are new datamodels representing the MaNGA data for DRP, DAP and Query parameters. The datamodel is attached to every object you instantiate, or it can be accessed independently. For example, the Maps datamodel will list all the available map properties. See http://sdss-marvin.readthedocs.io/en/latest/datamodel/datamodels.html for details.
In [5]:
# see the datamodel on maps
maps.datamodel
Out[5]:
[<Property 'spx_skycoo', channel='on_sky_x', release='2.1.3', unit='arcsec'>,
<Property 'spx_skycoo', channel='on_sky_y', release='2.1.3', unit='arcsec'>,
<Property 'spx_ellcoo', channel='elliptical_radius', release='2.1.3', unit='arcsec'>,
<Property 'spx_ellcoo', channel='elliptical_azimuth', release='2.1.3', unit='deg'>,
<Property 'spx_mflux', channel='None', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'spx_snr', channel='None', release='2.1.3', unit=''>,
<Property 'binid', channel='binned_spectra', release='2.1.3', unit=''>,
<Property 'binid', channel='stellar_continua', release='2.1.3', unit=''>,
<Property 'binid', channel='em_line_moments', release='2.1.3', unit=''>,
<Property 'binid', channel='em_line_models', release='2.1.3', unit=''>,
<Property 'binid', channel='spectral_indices', release='2.1.3', unit=''>,
<Property 'bin_lwskycoo', channel='lum_weighted_on_sky_x', release='2.1.3', unit='arcsec'>,
<Property 'bin_lwskycoo', channel='lum_weighted_on_sky_y', release='2.1.3', unit='arcsec'>,
<Property 'bin_lwellcoo', channel='lum_weighted_elliptical_radius', release='2.1.3', unit='arcsec'>,
<Property 'bin_lwellcoo', channel='lum_weighted_elliptical_azimuth', release='2.1.3', unit='deg'>,
<Property 'bin_area', channel='None', release='2.1.3', unit='arcsec2'>,
<Property 'bin_farea', channel='None', release='2.1.3', unit=''>,
<Property 'bin_mflux', channel='None', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'bin_snr', channel='None', release='2.1.3', unit=''>,
<Property 'stellar_vel', channel='None', release='2.1.3', unit='km / s'>,
<Property 'stellar_sigma', channel='None', release='2.1.3', unit='km / s'>,
<Property 'stellar_cont_fresid', channel='68th_percentile', release='2.1.3', unit=''>,
<Property 'stellar_cont_fresid', channel='99th_percentile', release='2.1.3', unit=''>,
<Property 'stellar_cont_rchi2', channel='None', release='2.1.3', unit=''>,
<Property 'emline_sflux', channel='oiid_3728', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='oii_3729', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='hthe_3798', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='heta_3836', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='neiii_3869', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='hzet_3890', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='neiii_3968', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='heps_3971', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='hdel_4102', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='hgam_4341', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='heii_4687', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='hb_4862', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='oiii_4960', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='oiii_5008', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='hei_5877', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='oi_6302', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='oi_6365', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='nii_6549', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='ha_6564', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='nii_6585', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='sii_6718', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sflux', channel='sii_6732', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_sew', channel='oiid_3728', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='oii_3729', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='hthe_3798', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='heta_3836', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='neiii_3869', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='hzet_3890', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='neiii_3968', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='heps_3971', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='hdel_4102', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='hgam_4341', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='heii_4687', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='hb_4862', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='oiii_4960', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='oiii_5008', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='hei_5877', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='oi_6302', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='oi_6365', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='nii_6549', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='ha_6564', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='nii_6585', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='sii_6718', release='2.1.3', unit='Angstrom'>,
<Property 'emline_sew', channel='sii_6732', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gflux', channel='oii_3727', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='oii_3729', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='hthe_3798', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='heta_3836', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='neiii_3869', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='hzet_3890', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='neiii_3968', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='heps_3971', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='hdel_4102', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='hgam_4341', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='heii_4687', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='hb_4862', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='oiii_4960', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='oiii_5008', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='hei_5877', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='oi_6302', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='oi_6365', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='nii_6549', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='ha_6564', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='nii_6585', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='sii_6718', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gflux', channel='sii_6732', release='2.1.3', unit='1e-17 erg / (cm2 s spaxel)'>,
<Property 'emline_gvel', channel='oii_3727', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='oii_3729', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='hthe_3798', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='heta_3836', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='neiii_3869', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='hzet_3890', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='neiii_3968', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='heps_3971', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='hdel_4102', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='hgam_4341', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='heii_4687', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='hb_4862', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='oiii_4960', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='oiii_5008', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='hei_5877', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='oi_6302', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='oi_6365', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='nii_6549', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='ha_6564', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='nii_6585', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='sii_6718', release='2.1.3', unit='km / s'>,
<Property 'emline_gvel', channel='sii_6732', release='2.1.3', unit='km / s'>,
<Property 'emline_gew', channel='oiid_3728', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='oii_3729', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='hthe_3798', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='heta_3836', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='neiii_3869', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='hzet_3890', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='neiii_3968', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='heps_3971', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='hdel_4102', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='hgam_4341', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='heii_4687', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='hb_4862', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='oiii_4960', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='oiii_5008', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='hei_5877', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='oi_6302', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='oi_6365', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='nii_6549', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='ha_6564', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='nii_6585', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='sii_6718', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gew', channel='sii_6732', release='2.1.3', unit='Angstrom'>,
<Property 'emline_gsigma', channel='oii_3727', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='oii_3729', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='hthe_3798', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='heta_3836', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='neiii_3869', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='hzet_3890', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='neiii_3968', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='heps_3971', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='hdel_4102', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='hgam_4341', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='heii_4687', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='hb_4862', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='oiii_4960', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='oiii_5008', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='hei_5877', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='oi_6302', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='oi_6365', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='nii_6549', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='ha_6564', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='nii_6585', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='sii_6718', release='2.1.3', unit='km / s'>,
<Property 'emline_gsigma', channel='sii_6732', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='oii_3727', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='oii_3729', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='hthe_3798', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='heta_3836', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='neiii_3869', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='hzet_3890', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='neiii_3968', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='heps_3971', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='hdel_4102', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='hgam_4341', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='heii_4687', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='hb_4862', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='oiii_4960', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='oiii_5008', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='hei_5877', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='oi_6302', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='oi_6365', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='nii_6549', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='ha_6564', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='nii_6585', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='sii_6718', release='2.1.3', unit='km / s'>,
<Property 'emline_instsigma', channel='sii_6732', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='oii_3727', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='oii_3729', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='hthe_3798', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='heta_3836', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='neiii_3869', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='hzet_3890', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='neiii_3968', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='heps_3971', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='hdel_4102', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='hgam_4341', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='heii_4687', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='hb_4862', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='oiii_4960', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='oiii_5008', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='hei_5877', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='oi_6302', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='oi_6365', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='nii_6549', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='ha_6564', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='nii_6585', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='sii_6718', release='2.1.3', unit='km / s'>,
<Property 'emline_tplsigma', channel='sii_6732', release='2.1.3', unit='km / s'>,
<Property 'specindex', channel='cn1', release='2.1.3', unit='mag'>,
<Property 'specindex', channel='cn2', release='2.1.3', unit='mag'>,
<Property 'specindex', channel='ca4227', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='g4300', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='fe4383', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='ca4455', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='fe4531', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='c24668', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='hb', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='fe5015', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='mg1', release='2.1.3', unit='mag'>,
<Property 'specindex', channel='mg2', release='2.1.3', unit='mag'>,
<Property 'specindex', channel='mgb', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='fe5270', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='fe5335', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='fe5406', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='fe5709', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='fe5782', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='nad', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='tio1', release='2.1.3', unit='mag'>,
<Property 'specindex', channel='tio2', release='2.1.3', unit='mag'>,
<Property 'specindex', channel='hdeltaa', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='hgammaa', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='hdeltaf', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='hgammaf', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='cahk', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='caii1', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='caii2', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='caii3', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='pa17', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='pa14', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='pa12', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='mgicvd', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='naicvd', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='mgiir', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='fehcvd', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='nai', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='btio', release='2.1.3', unit='mag'>,
<Property 'specindex', channel='atio', release='2.1.3', unit='mag'>,
<Property 'specindex', channel='cah1', release='2.1.3', unit='mag'>,
<Property 'specindex', channel='cah2', release='2.1.3', unit='mag'>,
<Property 'specindex', channel='naisdss', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='tio2sdss', release='2.1.3', unit='Angstrom'>,
<Property 'specindex', channel='d4000', release='2.1.3', unit=''>,
<Property 'specindex', channel='dn4000', release='2.1.3', unit=''>,
<Property 'specindex', channel='tiocvd', release='2.1.3', unit=''>,
<Property 'specindex_corr', channel='cn1', release='2.1.3', unit='mag'>,
<Property 'specindex_corr', channel='cn2', release='2.1.3', unit='mag'>,
<Property 'specindex_corr', channel='ca4227', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='g4300', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='fe4383', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='ca4455', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='fe4531', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='c24668', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='hb', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='fe5015', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='mg1', release='2.1.3', unit='mag'>,
<Property 'specindex_corr', channel='mg2', release='2.1.3', unit='mag'>,
<Property 'specindex_corr', channel='mgb', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='fe5270', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='fe5335', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='fe5406', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='fe5709', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='fe5782', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='nad', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='tio1', release='2.1.3', unit='mag'>,
<Property 'specindex_corr', channel='tio2', release='2.1.3', unit='mag'>,
<Property 'specindex_corr', channel='hdeltaa', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='hgammaa', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='hdeltaf', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='hgammaf', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='cahk', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='caii1', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='caii2', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='caii3', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='pa17', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='pa14', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='pa12', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='mgicvd', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='naicvd', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='mgiir', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='fehcvd', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='nai', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='btio', release='2.1.3', unit='mag'>,
<Property 'specindex_corr', channel='atio', release='2.1.3', unit='mag'>,
<Property 'specindex_corr', channel='cah1', release='2.1.3', unit='mag'>,
<Property 'specindex_corr', channel='cah2', release='2.1.3', unit='mag'>,
<Property 'specindex_corr', channel='naisdss', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='tio2sdss', release='2.1.3', unit='Angstrom'>,
<Property 'specindex_corr', channel='d4000', release='2.1.3', unit=''>,
<Property 'specindex_corr', channel='dn4000', release='2.1.3', unit=''>,
<Property 'specindex_corr', channel='tiocvd', release='2.1.3', unit=''>]
Each Property contains a name, a channel, the unit of the property, and a description
In [9]:
haew_prop = maps.datamodel['emline_gew_ha']
haew_prop
Out[9]:
<Property 'emline_gew', channel='ha_6564', release='2.1.3', unit='Angstrom'>
In [10]:
print(haew_prop.name, haew_prop.unit, haew_prop.description)
emline_gew Angstrom Gaussian-fitted equivalent widths measurements (based on EMLINE_GFLUX)
The fulll datamodel is available as a parent attribute or you can import it directly
In [17]:
dapdm = maps.datamodel.parent
print(dapdm)
# get a list of all available DAP datamodels
from marvin.utils.datamodel.dap import datamodel
print(datamodel)
# let's get the MPL-6 datamodel
dapdm = datamodel['MPL-6']
print(dapdm)
<DAPDataModel release='2.1.3', n_bintypes=5, n_templates=1, n_properties=292>
[<DAPDataModel release='1.1.1', n_bintypes=3, n_templates=3, n_properties=92>, <DAPDataModel release='2.0.2', n_bintypes=4, n_templates=1, n_properties=151>, <DAPDataModel release='2.1.3', n_bintypes=5, n_templates=1, n_properties=292>]
<DAPDataModel release='2.1.3', n_bintypes=5, n_templates=1, n_properties=292>
Most Marvin Tools now use new objects to represent their data. DataCubes represent 3-d data, while a Spectrum represents a 1-d array of data. These sub-class from Astropy Quantities. This means now most properties have associated units. We also now track and propagate inverse variances and masks.
In [22]:
# the cube datamodel shows the available datacubes
cube.datamodel.datacubes
Out[22]:
[<DataCube 'flux', release='MPL-6', unit='1e-17 erg / (Angstrom cm2 s spaxel)'>,
<DataCube 'dispersion', release='MPL-6', unit='Angstrom'>,
<DataCube 'dispersion_prepixel', release='MPL-6', unit='Angstrom'>]
In [23]:
# and spectra
cube.datamodel.spectra
Out[23]:
[<Spectrum 'spectral_resolution', release='MPL-6', unit='Angstrom'>,
<Spectrum 'spectral_resolution_prepixel', release='MPL-6', unit='Angstrom'>]
The cube flux is now a DataCube, has proper units, has an ivar, mask, and wavelength attached to it
In [34]:
print(type(cube.flux))
print('flux', cube.flux)
print('mask', cube.flux.mask)
print('wavelength', cube.flux.wavelength)
<class 'marvin.tools.quantities.datacube.DataCube'>
flux [[[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
...
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]]
[[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
...
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]]
[[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
...
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]]
...
[[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
...
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]]
[[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
...
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]]
[[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
...
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]]] 1e-17 erg / (Angstrom cm2 s spaxel)
mask [[[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]
...
[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]]
[[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]
...
[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]]
[[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]
...
[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]]
...
[[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]
...
[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]]
[[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]
...
[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]]
[[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]
...
[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]
[1027 1027 1027 ... 1027 1027 1027]]]
wavelength [ 3621.59598486 3622.42998417 3623.26417553 ... 10349.03843826
10351.42166679 10353.80544415] Angstrom
Slicing a Datacube in 2-d will return a new DataCube, while slicing in 3-d will return a Spectrum
In [42]:
spec = cube.flux[:,17,17]
print(type(spec))
print(spec)
print(spec.unit)
spec.plot()
<class 'marvin.tools.quantities.spectrum.Spectrum'>
[0.54676276 0.46566465 0.4622981 ... 0. 0. 0. ] 1e-17 erg / (Angstrom cm2 s spaxel)
1e-17 erg / (Angstrom cm2 s spaxel)
Out[42]:
<matplotlib.axes._subplots.AxesSubplot at 0x1252d12e8>
There is a new Maskbit class for improved maskbit handling. All objects now include new Maskbit versions of the DRP/DAP quality flag (quality_flag), targeting bits (target_flags), and pixel masks (pixmask). Now you can easily look up the labels for bits and create custom masks. See http://sdss-marvin.readthedocs.io/en/latest/utils/maskbit.html for details
In [45]:
# H-alpha DAP quality flag
ha.quality_flag
Out[45]:
<Maskbit 'MANGA_DAPQUAL' []>
In [46]:
ha.target_flags
Out[46]:
[<Maskbit 'MANGA_TARGET1' ['SECONDARY_v1_1_0', 'SECONDARY_COM2', 'SECONDARY_v1_2_0']>,
<Maskbit 'MANGA_TARGET2' []>,
<Maskbit 'MANGA_TARGET3' []>]
In [47]:
ha.pixmask
Out[47]:
<Maskbit 'MANGA_DAPPIXMASK' shape=(34, 34)>
In [53]:
# bits for mask value 1027
print('bits', ha.pixmask.values_to_bits(1027))
print('labels', ha.pixmask.values_to_labels(1027))
bits [0, 1, 10]
labels ['NOCOV', 'LOWCOV', 'MULTICOMP']
In [54]:
# convert the H-alpha mask into an list of labels
ha.pixmask.labels
Out[54]:
[[['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE']],
[['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE']],
[['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE']],
[['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE']],
[['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE']],
[['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['NOVALUE', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
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['NOCOV', 'LOWCOV', 'DONOTUSE']],
[['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['NOVALUE', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['NOVALUE', 'DONOTUSE'],
['NOVALUE', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE']],
[['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE']],
[['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE']],
[['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE'],
['NOCOV', 'LOWCOV', 'DONOTUSE']]]
The handling of Queries and Results has been improved to provider better means of retrieving all the results of a query, extracting columns of parameters, and quickly plotting results.
In [65]:
from marvin.tools.query import Query
config.setRelease('MPL-4')
q = Query(searchfilter='nsa.z < 0.1', returnparams=['cube.ra', 'cube.dec', 'absmag_g_r', 'nsa.elpetro_ba'])
r = q.run()
WARNING:Brain:MarvinUserWarning: No local database found. Cannot perform queries.
WARNING:Brain:MarvinUserWarning: local mode failed. Trying remote now.
WARNING: No local database found. Cannot perform queries.
WARNING: local mode failed. Trying remote now.
Your parsed filter is:
nsa.z<0.1
WARNING:Brain:PendingDeprecationWarning: generator 'extractWithoutOrder' raised StopIteration
Results contain of a total of 1282. Only returning the first 100 results.
WARNING: generator 'extractWithoutOrder' raised StopIteration
In [66]:
# your results are now in Sets
r.results
Out[66]:
<ResultSet(set=1.0/13, index=0:100, count_in_set=100, total=1282)>
[ResultRow(mangaid='1-109394', plate=8082, plateifu='8082-9102', ifu_name='9102', ra=50.179936141, dec=-1.0022917898, elpetro_absmag_g_r=1.26038932800293, elpetro_ba=0.42712, z=0.0361073),
ResultRow(mangaid='1-113208', plate=8618, plateifu='8618-3701', ifu_name='3701', ra=317.504479435, dec=9.86822191739, elpetro_absmag_g_r=1.48788070678711, elpetro_ba=0.752286, z=0.0699044),
ResultRow(mangaid='1-113219', plate=7815, plateifu='7815-9102', ifu_name='9102', ra=317.374745914, dec=10.0519434342, elpetro_absmag_g_r=0.543312072753906, elpetro_ba=0.517058, z=0.0408897),
ResultRow(mangaid='1-113375', plate=7815, plateifu='7815-9101', ifu_name='9101', ra=316.639658795, dec=10.7512221884, elpetro_absmag_g_r=0.757579803466797, elpetro_ba=0.570455, z=0.028215),
ResultRow(mangaid='1-113379', plate=7815, plateifu='7815-6101', ifu_name='6101', ra=316.541566803, dec=10.3454195236, elpetro_absmag_g_r=1.09770011901855, elpetro_ba=0.373641, z=0.0171611),
ResultRow(mangaid='1-113403', plate=7815, plateifu='7815-12703', ifu_name='12703', ra=316.964281103, dec=11.2623177305, elpetro_absmag_g_r=0.745466232299805, elpetro_ba=0.823788, z=0.0715126),
ResultRow(mangaid='1-113418', plate=7815, plateifu='7815-12704', ifu_name='12704', ra=319.353761201, dec=10.2316206875, elpetro_absmag_g_r=1.44098854064941, elpetro_ba=0.456991, z=0.0430806),
ResultRow(mangaid='1-113469', plate=7815, plateifu='7815-12702', ifu_name='12702', ra=317.943526819, dec=9.27749462963, elpetro_absmag_g_r=0.847789764404297, elpetro_ba=0.522312, z=0.0394617),
ResultRow(mangaid='1-113520', plate=7815, plateifu='7815-1901', ifu_name='1901', ra=317.502202242, dec=11.5106477077, elpetro_absmag_g_r=1.7510347366333, elpetro_ba=0.751988, z=0.0167652),
ResultRow(mangaid='1-113525', plate=8618, plateifu='8618-6103', ifu_name='6103', ra=317.430068351, dec=11.3552406345, elpetro_absmag_g_r=1.57906627655029, elpetro_ba=0.78557, z=0.0169457),
ResultRow(mangaid='1-113525', plate=7815, plateifu='7815-1902', ifu_name='1902', ra=317.430068351, dec=11.3552406345, elpetro_absmag_g_r=1.57906627655029, elpetro_ba=0.78557, z=0.0169457),
ResultRow(mangaid='1-113539', plate=8618, plateifu='8618-12701', ifu_name='12701', ra=317.979595193, dec=11.3794496273, elpetro_absmag_g_r=1.26716613769531, elpetro_ba=0.31432, z=0.0177002),
ResultRow(mangaid='1-113540', plate=7815, plateifu='7815-3702', ifu_name='3702', ra=317.903201533, dec=11.4969433994, elpetro_absmag_g_r=0.952407836914062, elpetro_ba=0.889156, z=0.0293823),
ResultRow(mangaid='1-113567', plate=8618, plateifu='8618-1902', ifu_name='1902', ra=318.026426419, dec=11.3451572409, elpetro_absmag_g_r=1.41732978820801, elpetro_ba=0.515994, z=0.0167432),
ResultRow(mangaid='1-113567', plate=7815, plateifu='7815-12701', ifu_name='12701', ra=318.026426419, dec=11.3451572409, elpetro_absmag_g_r=1.41732978820801, elpetro_ba=0.515994, z=0.0167432),
ResultRow(mangaid='1-113585', plate=7815, plateifu='7815-3703', ifu_name='3703', ra=319.11342841, dec=10.7676202056, elpetro_absmag_g_r=1.68158912658691, elpetro_ba=0.773512, z=0.070276),
ResultRow(mangaid='1-113587', plate=8618, plateifu='8618-12704', ifu_name='12704', ra=319.273361936, dec=11.1201347053, elpetro_absmag_g_r=1.02355575561523, elpetro_ba=0.858524, z=0.0704926),
ResultRow(mangaid='1-113647', plate=8618, plateifu='8618-6104', ifu_name='6104', ra=319.814830226, dec=10.070628454, elpetro_absmag_g_r=1.78754997253418, elpetro_ba=0.850177, z=0.0738563),
ResultRow(mangaid='1-113651', plate=7815, plateifu='7815-3704', ifu_name='3704', ra=319.233949063, dec=9.63757525774, elpetro_absmag_g_r=1.4986743927002, elpetro_ba=0.941069, z=0.0708847),
ResultRow(mangaid='1-113654', plate=8618, plateifu='8618-9102', ifu_name='9102', ra=319.271463809, dec=9.9723035679, elpetro_absmag_g_r=1.10831832885742, elpetro_ba=0.451358, z=0.0430694),
ResultRow(mangaid='1-113663', plate=8618, plateifu='8618-3703', ifu_name='3703', ra=318.804558778, dec=9.91312455151, elpetro_absmag_g_r=2.80322933197021, elpetro_ba=0.502782, z=0.0316328),
ResultRow(mangaid='1-113672', plate=8618, plateifu='8618-3704', ifu_name='3704', ra=318.862286217, dec=9.75781705378, elpetro_absmag_g_r=1.25676536560059, elpetro_ba=0.984299, z=0.0702278),
ResultRow(mangaid='1-113698', plate=8618, plateifu='8618-1901', ifu_name='1901', ra=319.194045241, dec=11.5400106533, elpetro_absmag_g_r=0.995195388793945, elpetro_ba=0.567433, z=0.0167445),
ResultRow(mangaid='1-113700', plate=8618, plateifu='8618-12703', ifu_name='12703', ra=319.451824118, dec=11.6605961542, elpetro_absmag_g_r=0.61408805847168, elpetro_ba=0.751346, z=0.0378372),
ResultRow(mangaid='1-113712', plate=7815, plateifu='7815-6104', ifu_name='6104', ra=319.193098655, dec=11.0437407875, elpetro_absmag_g_r=0.69244384765625, elpetro_ba=0.942534, z=0.0806967),
ResultRow(mangaid='1-114073', plate=7975, plateifu='7975-12705', ifu_name='12705', ra=324.895915071, dec=11.2049630634, elpetro_absmag_g_r=0.751516342163086, elpetro_ba=0.775431, z=0.0402895),
ResultRow(mangaid='1-114082', plate=7975, plateifu='7975-3701', ifu_name='3701', ra=324.152525127, dec=10.5067325085, elpetro_absmag_g_r=1.44381332397461, elpetro_ba=0.425806, z=0.0402683),
ResultRow(mangaid='1-114121', plate=7975, plateifu='7975-12701', ifu_name='12701', ra=323.466394588, dec=10.0718531123, elpetro_absmag_g_r=1.43171119689941, elpetro_ba=0.520187, z=0.0879313),
ResultRow(mangaid='1-114128', plate=7975, plateifu='7975-6101', ifu_name='6101', ra=323.470604621, dec=10.4397349551, elpetro_absmag_g_r=1.86342239379883, elpetro_ba=0.864153, z=0.077875),
ResultRow(mangaid='1-114129', plate=7975, plateifu='7975-12702', ifu_name='12702', ra=323.521211519, dec=10.4218555682, elpetro_absmag_g_r=2.19032287597656, elpetro_ba=0.521832, z=0.0774097),
ResultRow(mangaid='1-114145', plate=7975, plateifu='7975-6102', ifu_name='6102', ra=323.577092837, dec=11.2143239831, elpetro_absmag_g_r=1.41496467590332, elpetro_ba=0.655866, z=0.0341885),
ResultRow(mangaid='1-114171', plate=7975, plateifu='7975-3702', ifu_name='3702', ra=323.296326308, dec=10.6442039273, elpetro_absmag_g_r=1.70641708374023, elpetro_ba=0.849777, z=0.0881405),
ResultRow(mangaid='1-114303', plate=7975, plateifu='7975-1901', ifu_name='1901', ra=323.65768, dec=11.42181, elpetro_absmag_g_r=0.658689498901367, elpetro_ba=0.505907, z=0.0220107),
ResultRow(mangaid='1-114306', plate=7975, plateifu='7975-9101', ifu_name='9101', ra=323.742750886, dec=11.296528361, elpetro_absmag_g_r=0.99525260925293, elpetro_ba=0.811891, z=0.0636505),
ResultRow(mangaid='1-114325', plate=7975, plateifu='7975-12703', ifu_name='12703', ra=324.094963475, dec=12.2363038289, elpetro_absmag_g_r=1.34337997436523, elpetro_ba=0.244175, z=0.0288791),
ResultRow(mangaid='1-114334', plate=7975, plateifu='7975-1902', ifu_name='1902', ra=324.259707865, dec=11.9062032693, elpetro_absmag_g_r=1.43183898925781, elpetro_ba=0.56156, z=0.0222473),
ResultRow(mangaid='1-114454', plate=7975, plateifu='7975-12704', ifu_name='12704', ra=324.586417578, dec=11.3486728499, elpetro_absmag_g_r=1.29723358154297, elpetro_ba=0.591206, z=0.0888606),
ResultRow(mangaid='1-114465', plate=7975, plateifu='7975-6104', ifu_name='6104', ra=324.89155826, dec=10.4834807378, elpetro_absmag_g_r=1.21394157409668, elpetro_ba=0.867381, z=0.0788547),
ResultRow(mangaid='1-114500', plate=7975, plateifu='7975-9102', ifu_name='9102', ra=324.548678082, dec=12.1942577854, elpetro_absmag_g_r=1.14164924621582, elpetro_ba=0.355321, z=0.0220849),
ResultRow(mangaid='1-114502', plate=7975, plateifu='7975-6103', ifu_name='6103', ra=324.799320383, dec=11.9393222318, elpetro_absmag_g_r=1.4673023223877, elpetro_ba=0.960909, z=0.0798058),
ResultRow(mangaid='1-114532', plate=7975, plateifu='7975-3703', ifu_name='3703', ra=325.161350811, dec=11.7227434323, elpetro_absmag_g_r=1.73165702819824, elpetro_ba=0.920698, z=0.0902261),
ResultRow(mangaid='1-114928', plate=7977, plateifu='7977-3702', ifu_name='3702', ra=331.080925269, dec=12.9683778244, elpetro_absmag_g_r=1.65719413757324, elpetro_ba=0.680598, z=0.0273478),
ResultRow(mangaid='1-114955', plate=7977, plateifu='7977-12701', ifu_name='12701', ra=332.602089837, dec=11.7130772993, elpetro_absmag_g_r=1.01249313354492, elpetro_ba=0.742333, z=0.0922799),
ResultRow(mangaid='1-114956', plate=7977, plateifu='7977-3704', ifu_name='3704', ra=332.798726703, dec=11.8007324019, elpetro_absmag_g_r=1.3456974029541, elpetro_ba=0.756417, z=0.0270248),
ResultRow(mangaid='1-114980', plate=7977, plateifu='7977-9102', ifu_name='9102', ra=332.83066426, dec=12.1847175842, elpetro_absmag_g_r=1.14808464050293, elpetro_ba=0.656607, z=0.0630915),
ResultRow(mangaid='1-114998', plate=7977, plateifu='7977-6102', ifu_name='6102', ra=332.756351306, dec=12.3743026872, elpetro_absmag_g_r=2.77035713195801, elpetro_ba=0.6304, z=0.0614042),
ResultRow(mangaid='1-115062', plate=7977, plateifu='7977-1901', ifu_name='1901', ra=330.855372733, dec=12.6758983985, elpetro_absmag_g_r=1.65952682495117, elpetro_ba=0.865932, z=0.0260569),
ResultRow(mangaid='1-115085', plate=7977, plateifu='7977-6103', ifu_name='6103', ra=331.802634213, dec=13.2660525434, elpetro_absmag_g_r=0.912630081176758, elpetro_ba=0.472784, z=0.0349304),
ResultRow(mangaid='1-115097', plate=7977, plateifu='7977-3701', ifu_name='3701', ra=332.203447059, dec=13.3647373417, elpetro_absmag_g_r=1.49947357177734, elpetro_ba=0.528689, z=0.0274473),
ResultRow(mangaid='1-115128', plate=7977, plateifu='7977-1902', ifu_name='1902', ra=332.481316937, dec=12.8180504327, elpetro_absmag_g_r=1.1044979095459, elpetro_ba=0.49669, z=0.0358116),
ResultRow(mangaid='1-115162', plate=7977, plateifu='7977-12703', ifu_name='12703', ra=333.201842347, dec=13.334120927, elpetro_absmag_g_r=1.13131713867188, elpetro_ba=0.479943, z=0.0738627),
ResultRow(mangaid='1-115320', plate=7977, plateifu='7977-3703', ifu_name='3703', ra=333.052045245, dec=12.205190661, elpetro_absmag_g_r=0.99519157409668, elpetro_ba=0.842721, z=0.0275274),
ResultRow(mangaid='1-124604', plate=8439, plateifu='8439-6103', ifu_name='6103', ra=141.34417921, dec=50.5536812778, elpetro_absmag_g_r=1.38611221313477, elpetro_ba=0.345553, z=0.0253001),
ResultRow(mangaid='1-133922', plate=8486, plateifu='8486-6104', ifu_name='6104', ra=239.195689664, dec=47.9955208307, elpetro_absmag_g_r=1.51949119567871, elpetro_ba=0.390132, z=0.0174718),
ResultRow(mangaid='1-133941', plate=8486, plateifu='8486-9102', ifu_name='9102', ra=239.030589848, dec=48.0308761201, elpetro_absmag_g_r=1.04214859008789, elpetro_ba=0.740501, z=0.0189045),
ResultRow(mangaid='1-133945', plate=8486, plateifu='8486-3703', ifu_name='3703', ra=238.881357667, dec=47.677310104, elpetro_absmag_g_r=1.70501899719238, elpetro_ba=0.75216, z=0.0183248),
ResultRow(mangaid='1-133948', plate=8486, plateifu='8486-6103', ifu_name='6103', ra=238.891298957, dec=48.0223923799, elpetro_absmag_g_r=1.62374401092529, elpetro_ba=0.662078, z=0.0195194),
ResultRow(mangaid='1-133976', plate=8486, plateifu='8486-9101', ifu_name='9101', ra=238.718472619, dec=47.8808922742, elpetro_absmag_g_r=1.26091766357422, elpetro_ba=0.627185, z=0.0182938),
ResultRow(mangaid='1-133987', plate=8486, plateifu='8486-1902', ifu_name='1902', ra=239.334163047, dec=48.2072621316, elpetro_absmag_g_r=1.73217391967773, elpetro_ba=0.902851, z=0.0195435),
ResultRow(mangaid='1-134004', plate=8486, plateifu='8486-1901', ifu_name='1901', ra=238.448582292, dec=47.4049584412, elpetro_absmag_g_r=1.27153015136719, elpetro_ba=0.667273, z=0.0185601),
ResultRow(mangaid='1-134020', plate=8486, plateifu='8486-6102', ifu_name='6102', ra=238.046893627, dec=48.0439162921, elpetro_absmag_g_r=1.4318904876709, elpetro_ba=0.452976, z=0.0193267),
ResultRow(mangaid='1-134209', plate=8549, plateifu='8549-9101', ifu_name='9101', ra=242.276471895, dec=46.6712048189, elpetro_absmag_g_r=1.46211814880371, elpetro_ba=0.938842, z=0.0545042),
ResultRow(mangaid='1-134239', plate=8549, plateifu='8549-3703', ifu_name='3703', ra=241.416442386, dec=46.8465606897, elpetro_absmag_g_r=1.20720481872559, elpetro_ba=0.840219, z=0.0571086),
ResultRow(mangaid='1-134248', plate=8549, plateifu='8549-3702', ifu_name='3702', ra=241.005278975, dec=46.8029102028, elpetro_absmag_g_r=1.04830741882324, elpetro_ba=0.603141, z=0.0212204),
ResultRow(mangaid='1-134293', plate=8549, plateifu='8549-6103', ifu_name='6103', ra=240.418740846, dec=46.085291751, elpetro_absmag_g_r=0.724908828735352, elpetro_ba=0.685683, z=0.0416784),
ResultRow(mangaid='1-134503', plate=8555, plateifu='8555-1901', ifu_name='1901', ra=243.873718478, dec=44.2912632693, elpetro_absmag_g_r=1.38505744934082, elpetro_ba=0.580866, z=0.0371472),
ResultRow(mangaid='1-134562', plate=8549, plateifu='8549-1902', ifu_name='1902', ra=242.727439731, dec=44.985695801, elpetro_absmag_g_r=0.999540328979492, elpetro_ba=0.709542, z=0.0355137),
ResultRow(mangaid='1-134597', plate=8549, plateifu='8549-12705', ifu_name='12705', ra=241.907223711, dec=45.0653702307, elpetro_absmag_g_r=1.32281875610352, elpetro_ba=0.493211, z=0.0441938),
ResultRow(mangaid='1-134599', plate=8549, plateifu='8549-12704', ifu_name='12704', ra=242.978644743, dec=46.1277269855, elpetro_absmag_g_r=1.2156925201416, elpetro_ba=0.347987, z=0.019658),
ResultRow(mangaid='1-134614', plate=8549, plateifu='8549-6102', ifu_name='6102', ra=243.009178672, dec=45.7750314981, elpetro_absmag_g_r=1.25503730773926, elpetro_ba=0.409631, z=0.0528277),
ResultRow(mangaid='1-134634', plate=8549, plateifu='8549-3704', ifu_name='3704', ra=243.18537291, dec=45.3520102657, elpetro_absmag_g_r=1.71317291259766, elpetro_ba=0.601301, z=0.0523251),
ResultRow(mangaid='1-134848', plate=8555, plateifu='8555-12703', ifu_name='12703', ra=244.331994382, dec=43.4796723691, elpetro_absmag_g_r=1.4580078125, elpetro_ba=0.276868, z=0.0584495),
ResultRow(mangaid='1-134924', plate=8555, plateifu='8555-9101', ifu_name='9101', ra=245.662015493, dec=43.4646577078, elpetro_absmag_g_r=1.76020240783691, elpetro_ba=0.819258, z=0.0319997),
ResultRow(mangaid='1-134954', plate=8555, plateifu='8555-12705', ifu_name='12705', ra=246.578190983, dec=43.4074643202, elpetro_absmag_g_r=1.38137054443359, elpetro_ba=0.692219, z=0.0315232),
ResultRow(mangaid='1-134964', plate=8555, plateifu='8555-3701', ifu_name='3701', ra=246.760690284, dec=43.4760996734, elpetro_absmag_g_r=1.5971508026123, elpetro_ba=0.853938, z=0.0462348),
ResultRow(mangaid='1-135030', plate=8603, plateifu='8603-12704', ifu_name='12704', ra=247.893876589, dec=40.5655973228, elpetro_absmag_g_r=1.31695175170898, elpetro_ba=0.700621, z=0.0273289),
ResultRow(mangaid='1-135054', plate=8550, plateifu='8550-12703', ifu_name='12703', ra=247.674430234, dec=40.5293893805, elpetro_absmag_g_r=1.34156799316406, elpetro_ba=0.853565, z=0.0298122),
ResultRow(mangaid='1-135055', plate=8601, plateifu='8601-6104', ifu_name='6104', ra=247.641287575, dec=40.5394009252, elpetro_absmag_g_r=1.68307113647461, elpetro_ba=0.808577, z=0.0300581),
ResultRow(mangaid='1-135057', plate=8601, plateifu='8601-12703', ifu_name='12703', ra=247.57407, dec=40.59861, elpetro_absmag_g_r=0.928314208984375, elpetro_ba=0.834526, z=0.0288518),
ResultRow(mangaid='1-135058', plate=8603, plateifu='8603-6103', ifu_name='6103', ra=247.800367796, dec=40.4218744432, elpetro_absmag_g_r=1.1861629486084, elpetro_ba=0.392703, z=0.0270087),
ResultRow(mangaid='1-135077', plate=8312, plateifu='8312-6104', ifu_name='6104', ra=247.638466864, dec=41.4385861863, elpetro_absmag_g_r=1.33458137512207, elpetro_ba=0.458094, z=0.0290664),
ResultRow(mangaid='1-135095', plate=8312, plateifu='8312-3702', ifu_name='3702', ra=247.245291144, dec=41.255253243, elpetro_absmag_g_r=1.44723129272461, elpetro_ba=0.658268, z=0.0332324),
ResultRow(mangaid='1-135129', plate=8603, plateifu='8603-12705', ifu_name='12705', ra=247.280269588, dec=40.5910287121, elpetro_absmag_g_r=1.81981086730957, elpetro_ba=0.503666, z=0.0327969),
ResultRow(mangaid='1-135133', plate=8603, plateifu='8603-12703', ifu_name='12703', ra=247.282646413, dec=40.6650474998, elpetro_absmag_g_r=1.36585807800293, elpetro_ba=0.627429, z=0.0299683),
ResultRow(mangaid='1-135134', plate=8603, plateifu='8603-9101', ifu_name='9101', ra=247.225624269, dec=40.8666111706, elpetro_absmag_g_r=1.85215187072754, elpetro_ba=0.958519, z=0.030343),
ResultRow(mangaid='1-135152', plate=8312, plateifu='8312-6103', ifu_name='6103', ra=246.887611078, dec=41.1385055016, elpetro_absmag_g_r=0.762582778930664, elpetro_ba=0.839506, z=0.0301811),
ResultRow(mangaid='1-135157', plate=8603, plateifu='8603-3702', ifu_name='3702', ra=247.04131843, dec=40.6956030265, elpetro_absmag_g_r=1.68464851379395, elpetro_ba=0.518096, z=0.0323713),
ResultRow(mangaid='1-135207', plate=8555, plateifu='8555-1902', ifu_name='1902', ra=246.323470587, dec=42.6942265737, elpetro_absmag_g_r=1.51096343994141, elpetro_ba=0.755948, z=0.031485),
ResultRow(mangaid='1-135371', plate=8588, plateifu='8588-9101', ifu_name='9101', ra=250.156240419, dec=39.2216349362, elpetro_absmag_g_r=1.37564086914062, elpetro_ba=0.430169, z=0.0352359),
ResultRow(mangaid='1-135372', plate=8588, plateifu='8588-6102', ifu_name='6102', ra=250.116709759, dec=39.3201174959, elpetro_absmag_g_r=1.68138885498047, elpetro_ba=0.789335, z=0.0300793),
ResultRow(mangaid='1-135383', plate=8588, plateifu='8588-12705', ifu_name='12705', ra=250.312873125, dec=39.7523514003, elpetro_absmag_g_r=1.2461109161377, elpetro_ba=0.355884, z=0.0301398),
ResultRow(mangaid='1-135468', plate=8550, plateifu='8550-12705', ifu_name='12705', ra=249.135695215, dec=39.0278800132, elpetro_absmag_g_r=1.37894058227539, elpetro_ba=0.670573, z=0.029986),
ResultRow(mangaid='1-135502', plate=8604, plateifu='8604-12703', ifu_name='12703', ra=247.76417484, dec=39.838503868, elpetro_absmag_g_r=1.57090950012207, elpetro_ba=0.804992, z=0.0305383),
ResultRow(mangaid='1-135503', plate=8604, plateifu='8604-3703', ifu_name='3703', ra=247.882111795, dec=39.8976507098, elpetro_absmag_g_r=1.6621150970459, elpetro_ba=0.914384, z=0.0296457),
ResultRow(mangaid='1-135506', plate=8601, plateifu='8601-3704', ifu_name='3704', ra=247.948553785, dec=39.8142396526, elpetro_absmag_g_r=1.70755767822266, elpetro_ba=0.740217, z=0.0295479),
ResultRow(mangaid='1-135512', plate=8601, plateifu='8601-6102', ifu_name='6102', ra=247.711831631, dec=40.0247994472, elpetro_absmag_g_r=0.778741836547852, elpetro_ba=0.783227, z=0.0279629),
ResultRow(mangaid='1-135516', plate=8550, plateifu='8550-6104', ifu_name='6104', ra=248.41315, dec=39.25763, elpetro_absmag_g_r=1.33112716674805, elpetro_ba=0.41841, z=0.0314747),
ResultRow(mangaid='1-135517', plate=8588, plateifu='8588-6101', ifu_name='6101', ra=248.456755755, dec=39.2632054313, elpetro_absmag_g_r=1.17428970336914, elpetro_ba=0.961436, z=0.0317611),
ResultRow(mangaid='1-135530', plate=8550, plateifu='8550-9101', ifu_name='9101', ra=247.409672103, dec=40.2353879985, elpetro_absmag_g_r=1.7724609375, elpetro_ba=0.286038, z=0.0283296),
ResultRow(mangaid='1-135545', plate=8601, plateifu='8601-6103', ifu_name='6103', ra=247.530374396, dec=40.8801572026, elpetro_absmag_g_r=1.43307685852051, elpetro_ba=0.402053, z=0.0301334)]
In [67]:
# see the available columns
r.columns
Out[67]:
<ParameterGroup name=Columns, n_parameters=9>
[<QueryParameter full=cube.mangaid, name=mangaid, short=mangaid, remote=mangaid, display=Manga-ID>,
<QueryParameter full=cube.plate, name=plate, short=plate, remote=plate, display=Plate>,
<QueryParameter full=cube.plateifu, name=plateifu, short=plateifu, remote=plateifu, display=Plate-IFU>,
<QueryParameter full=ifu.name, name=ifu_name, short=ifu_name, remote=ifu_name, display=Name>,
<QueryParameter full=cube.ra, name=ra, short=ra, remote=ra, display=RA>,
<QueryParameter full=cube.dec, name=dec, short=dec, remote=dec, display=Dec>,
<QueryParameter full=nsa.elpetro_absmag_g_r, name=elpetro_absmag_g_r, short=absmag_g_r, remote=elpetro_absmag_g_r, display=Absmag g-r>,
<QueryParameter full=nsa.elpetro_ba, name=elpetro_ba, short=axisratio, remote=elpetro_ba, display=Elpetro axis ratio>,
<QueryParameter full=nsa.z, name=z, short=z, remote=z, display=Redshift>]
In [68]:
# quickly plot the redshift vs g-r color
output = r.plot('nsa.z', 'absmag_g_r')
WARNING:Brain:UserWarning: Warning: 'partition' will ignore the 'mask' of the MaskedArray.
WARNING:Brain:RuntimeWarning: Invalid value encountered in median
WARNING:Brain:RuntimeWarning: Invalid value encountered in percentile
WARNING: Warning: 'partition' will ignore the 'mask' of the MaskedArray.
WARNING: Invalid value encountered in median
WARNING: Invalid value encountered in percentile
In [70]:
# or a histogram of the elpetro b/a axis ratio
output=r.hist('elpetro_ba')
WARNING:Brain:UserWarning: Warning: 'partition' will ignore the 'mask' of the MaskedArray.
WARNING:Brain:RuntimeWarning: Invalid value encountered in median
WARNING:Brain:RuntimeWarning: Invalid value encountered in percentile
WARNING: Warning: 'partition' will ignore the 'mask' of the MaskedArray.
WARNING: Invalid value encountered in median
WARNING: Invalid value encountered in percentile
In [72]:
# get all of the g-r colors as a list
gr = r.getListOf('absmag_g_r', return_all=True)
gr
Out[72]:
[1.26038932800293,
1.48788070678711,
0.543312072753906,
0.757579803466797,
1.09770011901855,
0.745466232299805,
1.44098854064941,
0.847789764404297,
1.7510347366333,
1.57906627655029,
1.57906627655029,
1.26716613769531,
0.952407836914062,
1.41732978820801,
1.41732978820801,
1.68158912658691,
1.02355575561523,
1.78754997253418,
1.4986743927002,
1.10831832885742,
2.80322933197021,
1.25676536560059,
0.995195388793945,
0.61408805847168,
0.69244384765625,
0.751516342163086,
1.44381332397461,
1.43171119689941,
1.86342239379883,
2.19032287597656,
1.41496467590332,
1.70641708374023,
0.658689498901367,
0.99525260925293,
1.34337997436523,
1.43183898925781,
1.29723358154297,
1.21394157409668,
1.14164924621582,
1.4673023223877,
1.73165702819824,
1.65719413757324,
1.01249313354492,
1.3456974029541,
1.14808464050293,
2.77035713195801,
1.65952682495117,
0.912630081176758,
1.49947357177734,
1.1044979095459,
1.13131713867188,
0.99519157409668,
1.38611221313477,
1.51949119567871,
1.04214859008789,
1.70501899719238,
1.62374401092529,
1.26091766357422,
1.73217391967773,
1.27153015136719,
1.4318904876709,
1.46211814880371,
1.20720481872559,
1.04830741882324,
0.724908828735352,
1.38505744934082,
0.999540328979492,
1.32281875610352,
1.2156925201416,
1.25503730773926,
1.71317291259766,
1.4580078125,
1.76020240783691,
1.38137054443359,
1.5971508026123,
1.31695175170898,
1.34156799316406,
1.68307113647461,
0.928314208984375,
1.1861629486084,
1.33458137512207,
1.44723129272461,
1.81981086730957,
1.36585807800293,
1.85215187072754,
0.762582778930664,
1.68464851379395,
1.51096343994141,
1.37564086914062,
1.68138885498047,
1.2461109161377,
1.37894058227539,
1.57090950012207,
1.6621150970459,
1.70755767822266,
0.778741836547852,
1.33112716674805,
1.17428970336914,
1.7724609375,
1.43307685852051,
1.05030250549316,
0.790615081787109,
1.44169998168945,
1.22106170654297,
1.4596061706543,
1.6043529510498,
1.43718338012695,
1.36807250976562,
1.42204856872559,
1.20418357849121,
0.959020614624023,
1.11434555053711,
1.20375823974609,
1.50382232666016,
1.47062683105469,
1.52022552490234,
0.883840560913086,
0.863546371459961,
0.999143600463867,
1.47824478149414,
1.58131790161133,
1.58131790161133,
1.75845336914062,
1.76508140563965,
1.76508140563965,
1.66989135742188,
1.66989135742188,
0.911367416381836,
0.834562301635742,
1.44910621643066,
1.19685363769531,
0.960855484008789,
1.1392650604248,
0.227899551391602,
1.49036026000977,
1.23330879211426,
1.2242603302002,
1.54246711730957,
0.339872360229492,
1.02695465087891,
1.2266845703125,
1.10024833679199,
1.4588623046875,
0.744720458984375,
1.3321475982666,
0.938104629516602,
0.833671569824219,
1.23658561706543,
0.782651901245117,
1.36958885192871,
1.22234153747559,
1.49322319030762,
1.25778961181641,
1.23126220703125,
1.75717353820801,
1.00096130371094,
1.55574607849121,
1.19962120056152,
1.38706016540527,
1.26955413818359,
0.790740966796875,
1.28773880004883,
1.83721733093262,
1.0489559173584,
1.50351715087891,
1.64328575134277,
1.21530723571777,
1.68683815002441,
1.2888126373291,
1.11646842956543,
1.5238151550293,
1.39241409301758,
0.783824920654297,
1.76472663879395,
0.751018524169922,
1.58340835571289,
1.47800445556641,
0.928119659423828,
1.18128204345703,
0.718753814697266,
1.00078010559082,
0.993005752563477,
1.65610313415527,
0.900096893310547,
0.859102249145508,
1.31706047058105,
1.5174388885498,
1.91670417785645,
1.58527755737305,
0.653806686401367,
0.906030654907227,
1.66348838806152,
1.06909561157227,
0.854578018188477,
1.34856986999512,
1.1823673248291,
1.2220287322998,
1.58125877380371,
1.26830101013184,
1.14142608642578,
1.32029342651367,
1.14487075805664,
0.791526794433594,
1.38916778564453,
1.49543571472168,
1.34278106689453,
1.77796936035156,
1.16924476623535,
1.08199501037598,
1.22658157348633,
1.2657356262207,
0.807031631469727,
0.736539840698242,
1.72653961181641,
0.426862716674805,
0.878713607788086,
1.71902084350586,
1.17444229125977,
1.61144065856934,
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0.91609001159668,
1.75609970092773,
1.47218894958496,
1.72292137145996,
1.58425521850586,
1.25091361999512,
1.01857757568359,
1.00876617431641,
1.71321678161621,
1.56660842895508,
0.934855461120605,
1.3363151550293,
1.17270469665527,
1.91660308837891,
0.971338272094727,
1.44587516784668,
0.574041366577148,
0.837287902832031,
0.728397369384766,
0.84881591796875,
1.09189605712891,
1.34137344360352,
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1.66678619384766,
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1.5816535949707,
1.02146530151367,
1.26579475402832,
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1.19541931152344,
0.922063827514648,
0.871667861938477,
1.52823066711426,
1.70123100280762,
1.82316970825195,
1.86878204345703,
1.48141860961914,
1.77270889282227,
1.14588737487793,
1.65116500854492,
1.57740592956543,
1.58359718322754,
1.67409324645996,
1.47936248779297,
1.49068450927734,
1.53426742553711,
1.68362236022949,
1.02366256713867,
1.22614288330078,
1.73893737792969,
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1.28153991699219,
1.54734802246094,
1.21334266662598,
1.62071990966797,
1.57655143737793,
0.0247316360473633,
0.797264099121094,
1.4067440032959,
1.39529609680176,
1.26568222045898,
1.64430618286133,
1.72085380554199,
1.17687034606934,
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1.7665901184082,
1.38961029052734,
1.47238731384277,
1.71597290039062,
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...]
In [75]:
# the results currently only have 100 out of some total
print(r.count, r.totalcount)
# let's extend our result set by the next chunk of 100
r.extendSet()
INFO:Brain:Retrieving next 100, from 100 to 200
100 1282
INFO: Retrieving next 100, from 100 to 200
WARNING:Brain:PendingDeprecationWarning: generator 'extractWithoutOrder' raised StopIteration
WARNING: generator 'extractWithoutOrder' raised StopIteration
In [77]:
print(r.count, r.totalcount)
print(r.results)
200 1282
<ResultSet(set=1.0/7, index=0:200, count_in_set=200, total=1282)>
[ResultRow(mangaid='1-109394', plate=8082, plateifu='8082-9102', ifu_name='9102', ra=50.179936141, dec=-1.0022917898, elpetro_absmag_g_r=1.26038932800293, elpetro_ba=0.42712, z=0.0361073),
ResultRow(mangaid='1-113208', plate=8618, plateifu='8618-3701', ifu_name='3701', ra=317.504479435, dec=9.86822191739, elpetro_absmag_g_r=1.48788070678711, elpetro_ba=0.752286, z=0.0699044),
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ResultRow(mangaid='1-155463', plate=8249, plateifu='8249-6101', ifu_name='6101', ra=137.562456488, dec=46.2932696556, elpetro_absmag_g_r=1.21530723571777, elpetro_ba=0.558139, z=0.026734),
ResultRow(mangaid='1-155541', plate=8249, plateifu='8249-9102', ifu_name='9102', ra=138.37190266, dec=46.6142215927, elpetro_absmag_g_r=1.68683815002441, elpetro_ba=0.544517, z=0.0802487),
ResultRow(mangaid='1-155558', plate=8249, plateifu='8249-3702', ifu_name='3702', ra=137.03265263, dec=45.9209619515, elpetro_absmag_g_r=1.2888126373291, elpetro_ba=0.589713, z=0.0267975),
ResultRow(mangaid='1-155903', plate=8439, plateifu='8439-1901', ifu_name='1901', ra=141.190236455, dec=49.4448016737, elpetro_absmag_g_r=1.11646842956543, elpetro_ba=0.969302, z=0.0163661),
ResultRow(mangaid='1-155926', plate=8439, plateifu='8439-12702', ifu_name='12702', ra=141.539307103, dec=49.3102016203, elpetro_absmag_g_r=1.5238151550293, elpetro_ba=0.796842, z=0.0269288),
ResultRow(mangaid='1-155975', plate=8439, plateifu='8439-6102', ifu_name='6102', ra=142.778167545, dec=49.0797456578, elpetro_absmag_g_r=1.39241409301758, elpetro_ba=0.725726, z=0.0339319),
ResultRow(mangaid='1-155978', plate=8439, plateifu='8439-12701', ifu_name='12701', ra=143.010196099, dec=48.551093077, elpetro_absmag_g_r=0.783824920654297, elpetro_ba=0.526699, z=0.0162666),
ResultRow(mangaid='1-156011', plate=8252, plateifu='8252-3702', ifu_name='3702', ra=144.059863049, dec=48.7456976861, elpetro_absmag_g_r=1.76472663879395, elpetro_ba=0.842447, z=0.0905527),
ResultRow(mangaid='1-156037', plate=8439, plateifu='8439-9102', ifu_name='9102', ra=143.754018642, dec=48.9767418599, elpetro_absmag_g_r=0.751018524169922, elpetro_ba=0.550243, z=0.0249582),
ResultRow(mangaid='1-156061', plate=8439, plateifu='8439-1902', ifu_name='1902', ra=143.697034579, dec=48.7475756651, elpetro_absmag_g_r=1.58340835571289, elpetro_ba=0.859392, z=0.0259393),
ResultRow(mangaid='1-156062', plate=8439, plateifu='8439-12705', ifu_name='12705', ra=143.288053477, dec=49.0503236816, elpetro_absmag_g_r=1.47800445556641, elpetro_ba=0.844666, z=0.0511487),
ResultRow(mangaid='1-156074', plate=8439, plateifu='8439-6101', ifu_name='6101', ra=143.184618775, dec=48.7963482386, elpetro_absmag_g_r=0.928119659423828, elpetro_ba=0.571587, z=0.0263866),
ResultRow(mangaid='1-156137', plate=8439, plateifu='8439-12704', ifu_name='12704', ra=144.031088241, dec=50.4392201284, elpetro_absmag_g_r=1.18128204345703, elpetro_ba=0.444969, z=0.0640375),
ResultRow(mangaid='1-156154', plate=8439, plateifu='8439-9101', ifu_name='9101', ra=142.713904348, dec=50.3188614584, elpetro_absmag_g_r=0.718753814697266, elpetro_ba=0.439643, z=0.0379614),
ResultRow(mangaid='1-166736', plate=8459, plateifu='8459-12702', ifu_name='12702', ra=147.585854164, dec=43.1455699673, elpetro_absmag_g_r=1.00078010559082, elpetro_ba=0.826408, z=0.0170809),
ResultRow(mangaid='1-166738', plate=8459, plateifu='8459-12705', ifu_name='12705', ra=148.117076795, dec=42.8191413496, elpetro_absmag_g_r=0.993005752563477, elpetro_ba=0.917477, z=0.016087),
ResultRow(mangaid='1-166739', plate=8459, plateifu='8459-12701', ifu_name='12701', ra=147.37898128, dec=42.1302903462, elpetro_absmag_g_r=1.65610313415527, elpetro_ba=0.772124, z=0.0718279),
ResultRow(mangaid='1-166754', plate=8459, plateifu='8459-3704', ifu_name='3704', ra=147.32578151, dec=43.3517193284, elpetro_absmag_g_r=0.900096893310547, elpetro_ba=0.417579, z=0.0164167),
ResultRow(mangaid='1-166889', plate=8459, plateifu='8459-9101', ifu_name='9101', ra=147.277688884, dec=44.0486811007, elpetro_absmag_g_r=0.859102249145508, elpetro_ba=0.525696, z=0.0156854),
ResultRow(mangaid='1-166919', plate=8459, plateifu='8459-3702', ifu_name='3702', ra=146.709100143, dec=43.4238429596, elpetro_absmag_g_r=1.31706047058105, elpetro_ba=0.866956, z=0.0722105),
ResultRow(mangaid='1-166930', plate=8459, plateifu='8459-6103', ifu_name='6103', ra=146.789027825, dec=43.4185743942, elpetro_absmag_g_r=1.5174388885498, elpetro_ba=0.550614, z=0.0720255),
ResultRow(mangaid='1-166932', plate=8459, plateifu='8459-3701', ifu_name='3701', ra=146.785813609, dec=43.5104758987, elpetro_absmag_g_r=1.91670417785645, elpetro_ba=0.951709, z=0.0724488),
ResultRow(mangaid='1-166947', plate=8459, plateifu='8459-3703', ifu_name='3703', ra=147.335, dec=43.44299, elpetro_absmag_g_r=1.58527755737305, elpetro_ba=0.921915, z=0.0719792),
ResultRow(mangaid='1-166969', plate=8459, plateifu='8459-6102', ifu_name='6102', ra=147.990674372, dec=43.4140430617, elpetro_absmag_g_r=0.653806686401367, elpetro_ba=0.921856, z=0.0158773),
ResultRow(mangaid='1-167013', plate=8459, plateifu='8459-9102', ifu_name='9102', ra=149.888880629, dec=43.6605000576, elpetro_absmag_g_r=0.906030654907227, elpetro_ba=0.779596, z=0.0170491),
ResultRow(mangaid='1-167044', plate=8459, plateifu='8459-6104', ifu_name='6104', ra=149.346878642, dec=44.1547632349, elpetro_absmag_g_r=1.66348838806152, elpetro_ba=0.938967, z=0.0741969),
ResultRow(mangaid='1-167067', plate=8459, plateifu='8459-1902', ifu_name='1902', ra=148.502535855, dec=43.0448001127, elpetro_absmag_g_r=1.06909561157227, elpetro_ba=0.766896, z=0.0169612),
ResultRow(mangaid='1-167075', plate=8459, plateifu='8459-12704', ifu_name='12704', ra=147.604836276, dec=44.0406378719, elpetro_absmag_g_r=0.854578018188477, elpetro_ba=0.62063, z=0.0158584),
ResultRow(mangaid='1-167079', plate=8459, plateifu='8459-1901', ifu_name='1901', ra=147.801793989, dec=44.0093089046, elpetro_absmag_g_r=1.34856986999512, elpetro_ba=0.777813, z=0.015711),
ResultRow(mangaid='1-167080', plate=8459, plateifu='8459-6101', ifu_name='6101', ra=147.712302507, dec=44.0304545816, elpetro_absmag_g_r=1.1823673248291, elpetro_ba=0.809313, z=0.0463805),
ResultRow(mangaid='1-167113', plate=8459, plateifu='8459-12703', ifu_name='12703', ra=148.84161359, dec=44.4405591163, elpetro_absmag_g_r=1.2220287322998, elpetro_ba=0.415025, z=0.0264594),
ResultRow(mangaid='1-167380', plate=8453, plateifu='8453-3701', ifu_name='3701', ra=153.231920862, dec=46.4177099017, elpetro_absmag_g_r=1.58125877380371, elpetro_ba=0.478194, z=0.0382131),
ResultRow(mangaid='1-167555', plate=8453, plateifu='8453-3703', ifu_name='3703', ra=153.752608461, dec=46.7567528969, elpetro_absmag_g_r=1.26830101013184, elpetro_ba=0.759023, z=0.0246439),
ResultRow(mangaid='1-167564', plate=8453, plateifu='8453-12705', ifu_name='12705', ra=153.034483163, dec=46.2936923797, elpetro_absmag_g_r=1.14142608642578, elpetro_ba=0.399407, z=0.024247)]
The Query Datamodel shows you every parameter that is available to search on. It groups parameters together into common types.
In [78]:
qdm = q.datamodel
qdm
Out[78]:
<QueryDataModel release='MPL-4', n_groups=7, n_parameters=41, n_total=0>
In [79]:
qdm.groups
Out[79]:
[<ParameterGroup name=Metadata, n_parameters=7>,
<ParameterGroup name=Spaxel Metadata, n_parameters=3>,
<ParameterGroup name=Emission Lines, n_parameters=13>,
<ParameterGroup name=Kinematics, n_parameters=6>,
<ParameterGroup name=Spectral Indices, n_parameters=1>,
<ParameterGroup name=NSA Catalog, n_parameters=11>,
<ParameterGroup name=Other, n_parameters=0>]
In [80]:
# look at all the available NSA parameters
qdm.groups['nsa'].parameters
Out[80]:
[<QueryParameter full=nsa.iauname, name=iauname, short=iauname, remote=iauname, display=IAU Name>,
<QueryParameter full=nsa.ra, name=ra, short=ra, remote=ra, display=RA>,
<QueryParameter full=nsa.dec, name=dec, short=dec, remote=dec, display=Dec>,
<QueryParameter full=nsa.z, name=z, short=z, remote=z, display=Redshift>,
<QueryParameter full=nsa.elpetro_ba, name=elpetro_ba, short=axisratio, remote=elpetro_ba, display=Elpetro axis ratio>,
<QueryParameter full=nsa.elpetro_mag_g_r, name=elpetro_mag_g_r, short=g_r, remote=elpetro_mag_g_r, display=g-r>,
<QueryParameter full=nsa.elpetro_absmag_g_r, name=elpetro_absmag_g_r, short=absmag_g_r, remote=elpetro_absmag_g_r, display=Absmag g-r>,
<QueryParameter full=nsa.elpetro_logmass, name=elpetro_logmass, short=logmass, remote=elpetro_logmass, display=Elpetro Stellar Mass>,
<QueryParameter full=nsa.elpetro_th50_r, name=elpetro_th50_r, short=th50_r, remote=elpetro_th50_r, display=r-band half-light radius>,
<QueryParameter full=nsa.sersic_logmass, name=sersic_logmass, short=sersic_logmass, remote=sersic_logmass, display=Sersic Stellar Mass>,
<QueryParameter full=nsa.sersic_ba, name=sersic_ba, short=sersic_ba, remote=sersic_ba, display=Sersic axis ratio>]
In [ ]:
Content source: albireox/marvin
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