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transientskp / tkp

A transients-discovery pipeline for astronomical image-based surveys
http://docs.transientskp.org/
BSD 2-Clause "Simplified" License
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Rearrange job_params.cfg #590

Closed AntoniaR closed 3 years ago

AntoniaR commented 3 years ago

Some of the quality control parameters have ended up in the persistence step. This needs rearranging:

Current:

[persistence]
description = "TRAP dataset"
dataset_id = -1
rms_est_sigma = 4            ; Sigma value used for iterative clipping in RMS estimation
rms_est_fraction = 8         ; Determines size of image subsection used for RMS estimation
rms_est_history = 2          ; how many images used for calculating rms histogram
rms_est_max = 1.0            ; global maximum acceptable rms
rms_est_min = 0.0            ; global minimum acceptable rms
rms_rej_sigma = 0.1      ; threshold for rejecting images using rms histogram
bandwidth_max = 0.0          ; if non zero override bandwidth of image, determines which images fall in same band
oversampled_x = 30           ; threshold for oversampled check
elliptical_x = 2.0           ; threshold for elliptical check

[quality_lofar]
low_bound = 1                ; multiplied with noise to define lower threshold
high_bound = 80              ; multiplied with noise to define upper threshold
oversampled_x = 30           ; threshold for oversampled check
elliptical_x = 2.0           ; threshold for elliptical check
min_separation = 10          ; minimum distance to a bright source (in degrees)

New:

[persistence]
description = "TRAP dataset"
dataset_id = -1
rms_est_sigma = 4            ; Sigma value used for iterative clipping in RMS estimation
rms_est_fraction = 8         ; Determines size of image subsection used for RMS estimation
bandwidth_max = 0.0          ; if non zero override bandwidth of image, determines which images fall in same band

[quality]
low_bound = 1                ; multiplied with noise to define lower threshold
high_bound = 80              ; multiplied with noise to define upper threshold
rms_est_history = 100        ; how many images used for calculating rms histogram
rms_est_max = 100.           ; global maximum acceptable rms
rms_est_min = 0.0            ; global minimum acceptable rms
rms_rej_sigma = 0.1      ; threshold for rejecting images using rms histogram
oversampled_x = 30           ; threshold for oversampled check
elliptical_x = 2.0           ; threshold for elliptical check
min_separation = 10          ; minimum distance to a bright source (in degrees)
AntoniaR commented 3 years ago

This issue is resolved by the pull request #593