All times are actually UT -7, not UT. Taken with the T4 telescope on the itelescope.net network in visible as well as infrared light.
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https://www.youtube.com/watch?v=P0awPB-qeng
Launch and landing of CRS-17 as well as video of CRS-17 docked to ISS. Captured on Cocoa Beach with an 8" LX200 and Canon T5i @ f/6.3 for the launch and f/20 for the ISS footage. Tracked with UFOTraker and SatTraker.
Music: Divine Cosmos by Stellardrone
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https://www.youtube.com/watch?v=V0N6_RuC3Sg
2018 VP1 has the potential to hit earth in November, but watch this video to find out why that doesn't really matter.
Basemap whl files: https://www.lfd.uci.edu/~gohlke/pythonlibs/
Impact Mapper source code: https://drive.google.com/file/d/1JIJMiqMWbcnYY7pNq9pjq7wcTkzCD2Es/view?usp=sharing
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https://www.youtube.com/watch?v=pJQ4cTpPOAQ
Streaming the moon while I process the first video of ISS taken with this Celestron NexStar 11" Schmidt-Cassegrain Telescope.
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https://www.youtube.com/watch?v=wA7w4RKi3tw
Demonstration of the new video tracking algorithm I've designed for the next module of my telescope tracking software for rapidly moving objects, working title "UFOTraker." This is being developed in Python for the LX200 Classic and for ASCOM compatible GOTO telescopes.
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https://www.youtube.com/watch?v=--n_YgpoCAg
Manual processing of the raw STEREO heliospheric imager data. NASA's method of automatically processing the heliospheric imager data relies on using previous images to calibrate the current images. The tenuous heliosphere is not visible in the uncalibrated data due to glare from the sun. Processing the images based on the images that preceded it inevitably leads to processing artifacts from bright planets and stars. In order to process the raw data, I used PixInsight's dynamic background subtraction to remove the glare from the sun from each image using only the data present in that same image. This seems to produce a much clearer star field at the expense of some residual solar glare.
2 hour cadence for the month of September. Future videos will further refine the dynamic background subtraction technique by increasing the sampling of each image.
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https://www.youtube.com/watch?v=tVDoN4bpODk