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Venus Image 2023/09/13(UT)

Antonio Cidadao
A.Cidadao

Antonio Cidadao
Eight independent SERs were obtained (see table below for identification no., SER duration, frame exposure, gain setting, and UT time). From each SER a 100% stack was obtained, subsequently processed in Astrosurface (my usual procedure; all stacks were similarly processed). The 8 stacks (identified "01" to "08" in the image and gif animation) were confirmed to be registered, and then averaged, in MaxIm DL (producing a master "stack"). A gif animation was also produced from the individual eight independent stacks, plus the master stack, to evaluate/discriminate features that were present in all data, from those that should be interpreted as noise-related, and also from the partial aperture blocking from the observatory wall (this progressively disappeared as the planet became higher in the sky). Please also notice that the changing aspect of the Venus illuminated crescent, between independent stacks, has at least three factors involved (camera exposure and gain, obviously, but also the percentage of the telescope aperture that, at the time, was not blocked by the observatory wall). The constant detection of various dark features in the Venus NS, in all independent stacks and also in the averaged master stack is in my opinion well depicted. The same occurs with a brighter patch at the NPR (arrow in the image). With respect to the dark features, they are only partially coincident to the WinJupos simulation map, raising the possibility of dense intervening clouds. With respect to the brighter NPR patch, perhaps a decreased opacity of the cloud coverage over the low terrain therein, could explain the phenomenon.
Hope that comparing data obtained by other observers can elucidate the above hypothesis
(#)	duration	      exposure	       gain		UT time
01	300sec		100ms		200		05:04_3 UT
02	300sec		100ms		150		05:10_3 UT
03	300sec		200ms		150		05:16_3 UT
04	300sec		100ms		100		05:22_6 UT
05	300sec		200ms		100		05:28_1 UT
06	300sec		100ms		100		05:33_7 UT
07	900sec		100ms		150		05:44_0 UT
08	300sec		800ms		 0 		05:54_4 UT


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[Antonio Cidadao  Oeiras - Portugal]

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