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  1. 1D Redmine
  2. REDMINE1D-251

[RM-5329] CNN TEST WITH MAGNITUDE AND Z WEIGHTS

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    • Type: Task
    • Status: Open (View Workflow)
    • Priority: Normal
    • Resolution: Unresolved
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      Created on 2019-06-14 17:36:03 by Marie Treyer. % Done: 0

      The training set is underpopulated at z<0.2 and I>20 (Fig 2), among other things. In the test sample (Primus) on the contrary, most of the galaxies at z<0.2 have I>20 (Fig 3, Fig 5). These galaxies tend to be classified at higher redshift where faint galaxies are in the training set, i.e. the CNN tends to reproduce the magnitude/zspec distribution of its training set. Weights (designed to reproduce the counts in magnitude and the z-distributions in bins of mag) were applied to remedy this bias, unfortunately it doesn't seem to make much difference at this point. The dip at z=0.4 has been filled though, but the peak at z=0.9 hasn't gone away.




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        1. MAGDIS.png
          MAGDIS.png
          191 kB
        2. MAGZ_PRIMUS.png
          MAGZ_PRIMUS.png
          205 kB
        3. MAGZ_TRAIN.png
          MAGZ_TRAIN.png
          261 kB
        4. PDFWIDTH_Z.png
          PDFWIDTH_Z.png
          191 kB
        5. SIG_Z.png
          SIG_Z.png
          143 kB
        6. ZDIS.png
          ZDIS.png
          206 kB

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            • Assignee:
              r2j.migrate Redmine-Jira Migtation
              Reporter:
              r2j.migrate Redmine-Jira Migtation
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