[snip]Saw this cross by a couple days ago on Twitter and found the percentages interesting myself. Hope it helps with what you’re looking for.
Quote from: IANARS on 03/13/2022 11:20 am[snip]Saw this cross by a couple days ago on Twitter and found the percentages interesting myself. Hope it helps with what you’re looking for.Interesting. And counterintuitive. I was actually expecting the "latitude effect" dominates the result, but not up to this level.
Meanwhile, I computed the probability density per deg vs. latitude, and the result is that near 51.6 deg the PD is about 20 times more than at the equator. Does it match your results?
Quote from: gdelottle on 03/14/2022 10:27 pmMeanwhile, I computed the probability density per deg vs. latitude, and the result is that near 51.6 deg the PD is about 20 times more than at the equator. Does it match your results?Actually I also have to say I was wrong. The formula I used looks correct, but that ratio depends strictly by the way you compute it. For example: if one compute it at exactly the inclination value the formula diverges, but this is only because one is multiplying for a discreet delta-angle rather than an infinitesimal one. So, if one calculates the ratio between the time spent near the inclination angle and the equator, the results will strictly depend from the actual delta lat value considered and that "20" doesn't make very much sense. The formula I derived, by the way, is:PD(lat)= cos(lat) / sqrt( sin(incl)ˆ2 - sin(lat)ˆ2 )where:PD = probability density al deglat = latitudeincl = orbit inclinationnote the divergence for lat=incl, but PD(lat) * delta-lat where delta-lat is any latitude interval is still working well. In other words, while PD(incl) diverges, the area subtended by the curve is still limited. Note also that the formula must be renormalized to work well (total probability for each orbit must be equal to 1).