Jolideco Uniform Prior=N=1000

Configuration

This is the configuration the deconvolution was run with:

default

MAPDeconvolver
--------------

  n_epochs              : 1000
  beta                  : 1
  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   : 1
    frozen              : False
    prior               :

      type              : uniform

Flux

The plot shows the deconvolved flux image, the reference flux and residuals.

Predicted Counts

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

Metrics

Metric	Value
MSE	23.496
NMI	1.253
NRMSE	0.478
SSI	0.98

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

Traces

Files

Results files for download:

point1-bg2-jolideco-uniform-prior=n=1000-chandra-result.fits.gz