Article Index

Data Challenge 2

The main goal of this challenge is to measure the performance of photo-z codes using a realistic set of real images in the COSMOS field, including DECam images at the DES depths, a VIS-like image emulated from HST i-band data (the detection image), and deep near-IR images from the ultraVISTA survey at similar depths as those defined in the Euclid red book (Laureijs et al., 2011).

Documentation

The README file contains a detailed description of how the catalogues were made, how to run your photo-z code and return your results.

Data

All you need to train and run you photo-z code (reference/photometric catalogues, filter curves, mask files, readme file, etc.) is contained in a single archive (the link points towards the latest version, for older versions, see https://obswww.unige.ch/data/euclid-testing/testing/DC2 and for a version log, see https://obswww.unige.ch/data/euclid-testing/testing/DC2/version_log.ascii).

Images may be requested to OU-MER and OU-EXT groups.

Scripts used to analyse the data by WP leader are given "as is" for information.

Results

Individual results are stored in https://obswww.unige.ch/data/euclid-testing/testing/DC2/results:

  • CATALOGUES: photo-z catalogues with all entries produced by each participant
  • ALL: performance checks in Euclid metric (in PDF plots) for each participant, in the case where no filter is applied ("all" objects, see documentation for more details)
  • USE: performance checks in Euclid metric (in PDF plots) for each participant, in the case where a custom filter is applied ("all" objects, see documentation for more details)

Global summaries and analysis can be found in form of presentations given at OU-PHZ meetings.