
Image to be added after embargo lifts on 19th Contents Catalogue List of ID columns and morphology columns List of morphology questions and answers available List of additional columns copied from MER (flux, ellipticity, area, etc.) Images Full documentation is available here. Below is a summary. 1. Catalogue The morphology catalogue covers galaxies which are either bright or extended. Specifically, it includes galaxies matching one of the following criteria: segmentation area > 700 pixels, or... VIS 200 pixels The measurements were made by Zoobot foundation models, finetuned on Euclid galaxies using the responses of Galaxy Zoo volunteers. Our models were trained using galaxies from the selection cuts above but with the first option requiring 1200 pixels. Therefore, galaxies between 700 and 1200 pixels in area are may have less reliable measurements. The catalogue file is morphology_catalogue (.parquet or .csv, the contents are identical). It includes the following columns: release_name Always Q1_R1, for now tile_index Euclid tile index i.e. which MER tile hosts this galaxy object_id Euclid object id i.e. the MER catalogue identifier for this galaxy segmentation_map_id Alternative Euclid identifier. The first 9 digits are the tile index, the other digits match the internal segmentation id of the source. right_ascension in degrees, from the MER catalogue declination in degrees, from the MER catalogue {question}_{answer}_fraction e.g. smooth-or-featured_smooth_fraction. The fraction of volunteers expected to give this answer to this morphology question. Probably the morphology columns you want. {question}_{answer}_dirichlet e.g. smooth-or-featured_smooth_dirichlet. The concentration for a Dirichlet distribution (useful for uncertainties). See the paper. warning_galaxy_fails_training_cuts Marks galaxies between 700px and 1200px, where performance may be lower. See above. cutout_width_arcsec Width (and height) of cutout in arcseconds The following questions and answers are available. Question Answer Notes smooth-or-featured smooth May include face-on lenticulars, which are better identified with e.g. Sersic indices how-rounded round how-rounded in-between how-rounded cigar-shaped smooth-or-featured featured-or-disk The question branch most commonly used by researchers disk-edge-on yes edge-on-bulge boxy edge-on-bulge none edge-on-bulge rounded disk-edge-on no has-spiral-arms yes spiral-winding tight spiral-winding medium spiral-winding loose spiral-arm-count 1 spiral-arm-count 2 spiral-arm-count 3 spiral-arm-count 4 spiral-arm-count more-than-4 Often overlaps with cant-tell spiral-arm-count cant-tell Often overlaps with more-than-4 has-spiral-arms no bar strong Bar strength is a mix of length and width bar weak bar no bulge-size dominant bulge-size large bulge-size moderate bulge-size small bulge-size none smooth-or-featured problem problem star problem zoom i.e. bad zoom, a cutout which is too wide problem artifact artifact satellite artifact scattered artifact diffraction artifact ray artifact saturation artifact other artifact ghost Dichrotic ghosts merging none merging minor_disturbance merging major_disturbance Primarily obvious tidal tails and similar features merging merger Primarily "dramatic" ongoing mergers clumps yes Not recommended; we are building clump-specific models clumps no Not recommended; we are building clump-specific models For convenience, we have also copied over some useful MER catalogue columns. The schema for the full MER catalogue is here. Additionally, Euclid also makes available many other tables with e.g. photometric redshifts, estimated masses, etc. These are documented here. All fluxes are in micro-janskies (uJy). segmentation_area Number of pixels included in SourceExtractor++ mask of galaxy (0.1 arcsec/pixel). flux_segmentation Total VIS flux inside the segmentation mask above. mag_segmentation As above, converted to magnitude. ```mag = -2.5*log10(flux[muJy])+23.9```. Not technically in MER catalogue. flux_detection_total VIS flux measured within a Kron aperture in the detection image. FLUX_AUTO in SourceExtractor. flux_vis_1fwhm_aper VIS flux within an aperture of radius 1 FWHM. mumax_minus_mag A star/galaxy diagnostic. The morphology catalogue uses the recommended filter MUMAX_MINUS_MAG>=-2.6 to reject stars. mu_max Peak surface brightness above the background in the detection band (directly from SExtractor) ellipticity A parametrization of how stretched an object is in the detection band (VIS, here), computed from the minor and major axes of the object itself (directly from SExtractor). [I assume this is the major/minor axis ratio] kron_radius Major semi-axis (in pixels) of the elliptical aperture used for total (Kron) aperture photometry on the detection image 2. Images We are sharing the original cutout images as shown to Galaxy Zoo volunteers. The images are named like {tile_index}_{object_id}.jpg, where the negative sign ('-') in object id is replaced with 'NEG' to avoid path issues. You can construct the file paths from the morphology catalogue. For example: df['file_loc'] = df['tile_index'].astype(str) + '_' + df['object_id'].astype(str).str.replace('-', 'NEG') + '_.jpg' Each ZIP has images of every galaxy. There are three ZIP files, one for each image processing version. Volunteers were shown all three versions. The model predictions are made using the first version (the colour composite). Fig 3 in the Q1 visual morphology paper shows an example galaxy in all three versions. The VIS+Y images are composites with VIS in the blue channel and Y in the red channel (and the median of VIS and Y in the green channel, but this isn't visible). They use an arcinsh stretch, with the stretch designed to balance the contribution from each band. The VIS only images are black-and-white, and also use an arcsinh stretch. The VIS LSB images use a more complicated stretch to highlight LSB features. This is not included yet on Zenodo. Full details of the image processing are in the Q1 visual morphology paper.
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