final CL demo - testing

xiyuyi / PyPRIS

This is a python package to perform progressive refinement method for sparse recovery (PRIS)

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final CL demo - testing #108

Open xiyuyi opened 4 years ago

xiyuyi commented 4 years ago

continued from https://github.com/xiyuyi/PyPRIS/issues/105

[x] perform single-channel recovery with field distortion.
[x] generate 1st order diffraction observation from the 0th order recovery.
[x] use auto-correlation to find out the field shift between the 0th order diffraction channel, and the 1st order diffraction channel.
[ ] setup two-channel PRIS recovery.
[ ] perform PRIS recover.
[ ] organize results, make figures.
[ ] write a technical part for this demo.
[ ] plan and finalize test dataset 5 for this demo.

xiyuyi commented 4 years ago

Crimson, dif0CL channel recovery

[x] prepare tickets
[x] recovery, parameters set.

xiyuyi commented 4 years ago

should check the coordinate refinement, make sure the species tags are carried on. right now I'm only performing single dif0CL channel recovery. for bot Crimson and Darkred.

xiyuyi commented 4 years ago

CL recovery is done for both crimson and darkred.

now, use jupyter notebook:

[x] generate dif1 observation from the current recovery
[x] get shifts for dif1 for both colors
[x] set up 2 color 2 species recovery

xiyuyi commented 4 years ago

now implement topN candidate function for pypris object.

xiyuyi commented 4 years ago

now setup 2 color 2 channel recovery...

[x] think about how to design the tickets. shift 1/2 for Crimson is 0.5, 0 shift 1/2 for Darkred is 2, 0.2

there is a ctag.....uhmmmm