Jolideco Patch Prior Gleam V0.1

Configuration

This is the configuration the deconvolution was run with:

default
MAPDeconvolver
--------------

  n_epochs              : 2000
  beta                  : 1.000
  learning_rate         : 0.100
  compute_error         : False
  stop_early            : False
  stop_early_n_average  : 10
  display_progress      : True
  device                : cpu
  optimizer             : adam

Model Configuration

This is the configuration the Jolideco model:

default
FluxComponents
--------------

  flux                  :

    use_log_flux        : True
    upsampling_factor   : 2
    frozen              : False
    prior               :

      type              : gmm-patches
      stride            : 4
      cycle_spin        : True
      cycle_spin_subpix : False
      jitter            : False
      gmm               :

        type            : gleam-v0.1

      norm              :

        type            : identity

      patch_norm        :

        type            : std-subtract-mean

      device            : cuda:0

Flux

../../../../_images/flux435.png
The plot shows the deconvolved flux image, the reference flux and residuals.

Predicted Counts

../../../../_images/npred435.png
The plot shows the predicted counts correspoding to the deconvolved flux image, the reference flux and residuals.

Metrics

Metric

Value

MSE

3.515

NMI

1.032

NRMSE

0.719

SSI

0.974

MSE = Mean Squared Error, SSI = Structural Similarity Index, NMI = Normalized Mutual Information, NRMSE = Normalized Root Mean Squared Error

Traces

../../../../_images/trace435.png

Files

Results files for download:

spiral3-bg3-jolideco-patch-prior-gleam-v0.1-chandra-result.fits.gz