[REDMINE1D-251] [RM-5329] CNN TEST WITH MAGNITUDE AND Z WEIGHTS Created: 06/Jul/23  Updated: 06/Jul/23

Status: Open
Project: 1D Redmine
Component/s: None
Affects Version/s: None
Fix Version/s: None

Type: Task Priority: Normal
Reporter: Redmine-Jira Migtation Assignee: Redmine-Jira Migtation
Resolution: Unresolved Votes: 0
Labels: None
Remaining Estimate: Not Specified
Time Spent: Not Specified
Original Estimate: Not Specified

Attachments: PNG File MAGDIS.png     PNG File MAGZ_PRIMUS.png     PNG File MAGZ_TRAIN.png     PNG File PDFWIDTH_Z.png     PNG File SIG_Z.png     PNG File ZDIS.png    

 Description   

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.





Generated at Sat Feb 10 15:30:50 JST 2024 using Jira 8.3.4#803005-sha1:1f96e09b3c60279a408a2ae47be3c745f571388b.