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Datasets/MaNGA

MaNGA

Mapping Nearby Galaxies at APO

Hyperspectral imagesIntroduced 2014-12-03

MaNGA is a component of the Fourth-Generation Sloan Digital Sky Survey whose goal is to map the detailed composition and kinematic structure of nearby galaxies. MaNGA uses integral field unit (IFU) spectroscopy to measure spectra for hundreds of points within each galaxy. MaNGA’s goal is to understand the “life history” of present-day galaxies from imprinted clues of their birth and assembly, through their ongoing growth via star formation and merging, to their death from quenching at late times.

The primary MaNGA data products are composed of 3-D calibrated data cubes produced by the DRP[89] and 2-D maps of derived quantities, such as emission line fluxes, gas and stellar kinematics, and stellar population properties, produced by the DAP[149] from those cubes. The 3-D data cubes are constructed from a few tens to a few thousands of individual spectra that have been combined onto a regular grid. The 2-D maps of derived quantities are constructed by analyzing individual or binned groups of spaxels and constructing maps of the quantities at the relevant on-sky location.

Related Benchmarks

Manga109/16k/Average PrecisionManga109/2D Classification/Average PrecisionManga109/2D Object Detection/Average PrecisionManga109/3D/Average PrecisionManga109/3D Face Modelling/Average PrecisionManga109/3D Face Reconstruction/Average PrecisionManga109/Face Detection/Average PrecisionManga109/Face Reconstruction/Average PrecisionManga109/Facial Recognition and Modelling/Average PrecisionManga109/Object Detection/Average PrecisionManga109 - 16x upscaling/16k/PSNRManga109 - 16x upscaling/16k/SSIMManga109 - 16x upscaling/3D Object Super-Resolution/PSNRManga109 - 16x upscaling/3D Object Super-Resolution/SSIMManga109 - 16x upscaling/Image Super-Resolution/PSNRManga109 - 16x upscaling/Image Super-Resolution/SSIMManga109 - 16x upscaling/Super-Resolution/PSNRManga109 - 16x upscaling/Super-Resolution/SSIMManga109 - 2x upscaling/10-shot image generation/PSNRManga109 - 2x upscaling/10-shot image generation/SSIMManga109 - 2x upscaling/16k/PSNRManga109 - 2x upscaling/16k/SSIMManga109 - 2x upscaling/3D Object Super-Resolution/PSNRManga109 - 2x upscaling/3D Object Super-Resolution/SSIMManga109 - 2x upscaling/Image Reconstruction/PSNRManga109 - 2x upscaling/Image Reconstruction/SSIMManga109 - 2x upscaling/Image Restoration/PSNRManga109 - 2x upscaling/Image Restoration/SSIMManga109 - 2x upscaling/Image Super-Resolution/PSNRManga109 - 2x upscaling/Image Super-Resolution/SSIMManga109 - 2x upscaling/Super-Resolution/PSNRManga109 - 2x upscaling/Super-Resolution/SSIMManga109 - 3x upscaling/10-shot image generation/PSNRManga109 - 3x upscaling/10-shot image generation/SSIMManga109 - 3x upscaling/16k/PSNRManga109 - 3x upscaling/16k/SSIMManga109 - 3x upscaling/3D Object Super-Resolution/PSNRManga109 - 3x upscaling/3D Object Super-Resolution/SSIMManga109 - 3x upscaling/Image Reconstruction/PSNRManga109 - 3x upscaling/Image Reconstruction/SSIMManga109 - 3x upscaling/Image Restoration/PSNRManga109 - 3x upscaling/Image Restoration/SSIMManga109 - 3x upscaling/Image Super-Resolution/PSNRManga109 - 3x upscaling/Image Super-Resolution/SSIMManga109 - 3x upscaling/Super-Resolution/PSNRManga109 - 3x upscaling/Super-Resolution/SSIMManga109 - 4x upscaling/10-shot image generation/PSNRManga109 - 4x upscaling/10-shot image generation/SSIMManga109 - 4x upscaling/16k/DISTSManga109 - 4x upscaling/16k/LPIPSManga109 - 4x upscaling/16k/LR-PSNRManga109 - 4x upscaling/16k/PSNRManga109 - 4x upscaling/16k/SSIMManga109 - 4x upscaling/3D Object Super-Resolution/DISTSManga109 - 4x upscaling/3D Object Super-Resolution/LPIPSManga109 - 4x upscaling/3D Object Super-Resolution/LR-PSNRManga109 - 4x upscaling/3D Object Super-Resolution/PSNRManga109 - 4x upscaling/3D Object Super-Resolution/SSIMManga109 - 4x upscaling/Image Reconstruction/PSNRManga109 - 4x upscaling/Image Reconstruction/SSIMManga109 - 4x upscaling/Image Restoration/PSNRManga109 - 4x upscaling/Image Restoration/SSIMManga109 - 4x upscaling/Image Super-Resolution/DISTSManga109 - 4x upscaling/Image Super-Resolution/LPIPSManga109 - 4x upscaling/Image Super-Resolution/LR-PSNRManga109 - 4x upscaling/Image Super-Resolution/PSNRManga109 - 4x upscaling/Image Super-Resolution/SSIMManga109 - 4x upscaling/Super-Resolution/DISTSManga109 - 4x upscaling/Super-Resolution/LPIPSManga109 - 4x upscaling/Super-Resolution/LR-PSNRManga109 - 4x upscaling/Super-Resolution/PSNRManga109 - 4x upscaling/Super-Resolution/SSIMManga109 - 8x upscaling/16k/PSNRManga109 - 8x upscaling/16k/SSIMManga109 - 8x upscaling/3D Object Super-Resolution/PSNRManga109 - 8x upscaling/3D Object Super-Resolution/SSIMManga109 - 8x upscaling/Image Super-Resolution/PSNRManga109 - 8x upscaling/Image Super-Resolution/SSIMManga109 - 8x upscaling/Super-Resolution/PSNRManga109 - 8x upscaling/Super-Resolution/SSIMManga109-s 15test/16k/COCO-style APManga109-s 15test/2D Classification/COCO-style APManga109-s 15test/2D Object Detection/COCO-style APManga109-s 15test/3D/COCO-style APManga109-s 15test/Object Detection/COCO-style AP

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