Hi Gripen,
>Well, you "gaussian" model assumes constant 67% probability for the correct aim point without claiming target size (this means that accuracy of the aim increases when range increases)
I approximated the complex shape of a real aircraft, the dispersion of fire and the effect of firing at a two-dimensional target by assigning a finite probability for hitting even with a correct aim. You assume dispersion to be zero, limit the problem to one dimension, and consider the aircraft's shape that of a short line. It's the nature of simplified examples to be imperfect.
I could ridicule your skills on the basis of your example just like you're ridiculing mine. Since that's not the kind of discussion I'm looking for, I won't.
>But good enough conclusions can be made with a bit of statistical knowledge; due to aiming error 2x armament in the wings is better than 1x in the fuselage at long range.
Here are some numbers from your own example situation:
Range [m]; Phit 2 wing guns, Phit centreline gun
600; 8,97%; 7,53%
650; 7,46%; 7,14%
700; 6,24%; 6,74%
750; 5,47%; 6,35%
800; 4,78%; 5,96%
850; 4,14%; 5,56%
900; 3,64%; 5,17%
In short, beyond a certain range, the wing guns in your example lose their advantage and become inferior to the centreline gun.
I assume this is a terminology problem concerning the definition of "long range". However, in your example, the longer the range, the greater the superiority of the centreline gun.
Regards,
Henning (HoHun)