https://bugs.kde.org/show_bug.cgi?id=520101
Bug ID: 520101
Summary: EKOS Capture Module | File Settings | Add iso/gain in
placeholder tags
Classification: Applications
Product: kstars
Version First 3.8.2
Reported In:
Platform: unspecified
OS: All
Status: REPORTED
Severity: wishlist
Priority: NOR
Component: general
Assignee: [email protected]
Reporter: [email protected]
Target Milestone: ---
Hello
here is a user story that would benefit from adding an iso/gain placeholder tag
in EKOS Capture module file settings, similar to the existing exposure, type
placeholders.
# Use case / context
I create a darks & biases library for a camera outside of my imaging session
proper. Flats depend from too many optical train parameters and are generally
better done in-session.
- Darks depend on iso/gain, exposure time, temperature.
- Biases on iso/gain, temperature, fixed exposure time (shortest)
Such a library can be reused for a few months before it must be done again to
account for camera sensor drift.
Considering the various exposure time for the darks and the needed counts, it
represents at least hours of exposure, so it is ideally done as an unattended
batch.
# The method I came up with
After starting a dedicated INDI & EKOS profile with only my camera connected :
In the EKOS capture module > File settings
- Format : /%t/%Type/%e/%Type
- Extension : _%s3
- Target : {my_camera_name}_temp={temperature}_gain={gain}
I set the camera temperature and wait for it to reach its setpoint.
Then I add the sequences for darks for various exposure times, one sequence for
biases, then start run the sequence and let it cook.
While it already does a great part unattended, I have to repeat the above for
gain values, since I have to encode this in the target name. A SLR user would
use iso value instead of gain.
# Possible improvement
If iso/gain file path placeholders existed, I would be able to create all
darks/biases for a given temperature in a single unattended sequence queue,
simply adding sequences for each exposure time x gain combo.
It would make it a great tool to create and maintain darks & biases libraries.
Regards
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