Photometric redshifts from sdss images using a convolutional neural network

HIGHLIGHTS

• who: Pasquet Johanna and colleagues from the Univ, CNRS/IN, CPPM, France have published the article: Photometric redshifts from SDSS images using a convolutional neural network, in the Journal: (JOURNAL)
• how: The authors note that SDSS observations are carried out through the
• future: ALL SZ STRIPE 82 MEAN PDF 0.00 Z-ZSPEC 0.007 for S /N > 100 as in the deep stacked region of Stripe 82 finally variations of the PSF FWHM induce a small but measurable amount of systematics on the estimated redshifts which prompts for the inclusion of PSF . . .
  

   

  

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