[PIPE2D-674] Take data for characterizing brighter - fatter effect Created: 10/Dec/20  Updated: 24/Feb/21  Resolved: 23/Feb/21

Status: Done
Project: DRP 2-D Pipeline
Component/s: None
Affects Version/s: None
Fix Version/s: None

Type: Task Priority: Normal
Reporter: ncaplar Assignee: ncaplar
Resolution: Done Votes: 0
Labels: None
Remaining Estimate: Not Specified
Time Spent: Not Specified
Original Estimate: Not Specified

Attachments: PNG File Argon example.png    
Issue Links:
Relates
relates to SIM2D-20 Simulate the effects on the PSF of dy... Won't Fix
Story Points: 2
Sprint: 2DDRP-2021 A, 2DDRP-2021 A 2

 Description   

Jeg today requested, during ICS/SpS telecon that we take data to be used to study brighter-fatter effect. He asked that we take data wich with exposure times in steps of sqrt(2) from ``very faint'' to ``very bright''. One arcline is enough, probably Argon. We need quite a lot of data for ``very faint'' to get enough signal. 



 Comments   
Comment by arnaud.lefur [ 10/Dec/20 ]

From data acquisition POV, contrary to shutter exposure time, lamp exposure time are pure float.
I could easily turn that into a list of floats if it makes your life easier ie:

iic expose arc neon=1,2,3,4,5,10,20,60 

What do you think ? It's up to you.

Comment by ncaplar [ 10/Dec/20 ]

1. I am a bit confused, you mention floats, but I see that the number in the command are integers?

2. ``Problem'' is that we need to take many more exposures with 1 second, than with e.g., 60 seconds - I assume that the command you suggested does one exposure per each proposed time?

Comment by ncaplar [ 13/Jan/21 ]

Data acquisition started

 

Comment by arnaud.lefur [ 13/Jan/21 ]

Sorry, I completely missed your answer.
I mean a single float rather than a list of floats.
Right, you could use the existing duplicate argument, but it would be constant and not function of exposure time.
But we could have done something smarter, it's just python after all.

Comment by ncaplar [ 13/Jan/21 ]

We might need to that still. I am taking a first pass at the data, and after short analysis and discussion with JEG I am almost certain that further data will be needed (i.e., I often discover further nuances after the first attempt has been made).

Comment by ncaplar [ 23/Feb/21 ]

The dataset is argon and neon data, with visitIds from 40260 to 41339.

Comment by ncaplar [ 24/Feb/21 ]

I quickly created an example by stacking images with different exposure times. As we can see, the differences due to movement are dominant.

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