BTW, You can combine patched conics approximation with more precise GMAT propagator.
For example, part of some my old script:
lambert_v1 is a user function (in /userfunctions/python/PyKEP.py):
My understanding is that if you vary two different parameters, for example delta-v between 2000 m/s and 3000 m/s and time between 10 s and 20 s using "Additive scale factor" and "Multiplicative scale factor" you can manually normalize both variables for the solver to vary them internally, for...
If I'm not mistaken NASA’s Eyes software uses such textures. Once I tried to extract a texture of some moon from NASA’s Eyes to use it with Orbiter and it was a bummer ;)
Looks good. Can you give the scenario file or just initial MJD/RPOS/RVEL? I want to compare this with GMAT.
That's how it looks in GMAT (using LP-165 model) for arbitrary MJD:
How did you implement this changes?
I thought about making minimal changes to the Orbiter core, just interfacing GetPertAcc() to celbody modules through a CELBODY class extension.
But I'm not very good with C++ to propose my changes to the Orbiter core.
I'd like to see CELBODY API extensions for rotation (to be able to implement IAU / ITRF frames) and for gravity fields (to implement EGM96, GRGM900C, etc.)
There are scenarios for Orbiter.
No addons are required, it's just DeltaGlider + Artemis-1 POS/VEL from the latest preflight data ( https://ssd.jpl.nasa.gov/horizons/app.html#/ )
Yes, it will be interesting. I wonder how close the trajectory will be to my GMAT NRHO computations
https://www.orbiter-forum.com/threads/lop-g-to-brighton-beach-and-back-again.36984/#post-556247
Faster relative to what? If you're measuring your speed/position relative to the position where you would have been without acceleration, then you are assuming that yours v0 a second ago was 0 m/s, not 0.9c. If you're an external observer who's observing some crazy spaceman flying around at...
This article may be helpful:
https://en.wikipedia.org/wiki/Space_travel_under_constant_acceleration
And don't forget that you can compare clocks of two observers only in the same space-time point, so you can calculate "how much time passes for each observer" only when they meet again after first...
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