The goal is quality over quantity… so I’m reassessing if what I’m doing here could be improved. Keen to your all your insight on the subject.
I’ve been using filter offsets for a while and have an advance sequence setup in Nina that does the following loop:
Slew, plate solve and rotate to target
autofocus on L filter
using filter offsets capture 1 x 600s Ha, Oiii and Sii then 3 x 15s R, B and G
dither 5 px
loopback to beginning.
Triggers are: If HFR moves by more than 10% refocus. If focus fail wait 2 min and retry, Up to 20 attempts (mostly to stop capturing and wait when clouds are passing by)
The advantage of this method is that I average the seeing on all filters and capture everything I need to make an in each session but the disadvantage is that the focusing may not be ultimate since I’m using offsets and that is not temperature compensated and does not account for any atmospheric turbulence or the altitude of the target… so I’m thinking my method may not yield the best possible data.
I’ve been using filter offsets for a while and have an advance sequence setup in Nina that does the following loop:
Slew, plate solve and rotate to target
autofocus on L filter
using filter offsets capture 1 x 600s Ha, Oiii and Sii then 3 x 15s R, B and G
dither 5 px
loopback to beginning.
Triggers are: If HFR moves by more than 10% refocus. If focus fail wait 2 min and retry, Up to 20 attempts (mostly to stop capturing and wait when clouds are passing by)
The advantage of this method is that I average the seeing on all filters and capture everything I need to make an in each session but the disadvantage is that the focusing may not be ultimate since I’m using offsets and that is not temperature compensated and does not account for any atmospheric turbulence or the altitude of the target… so I’m thinking my method may not yield the best possible data.