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posted by hubie on Wednesday September 21, @08:35AM   Printer-friendly
from the buh-bye-night-sky dept.

The imminent launch of a BlueWalker satellite, with a giant phased array antenna, portends a brightening night sky:

The prototype of a new constellation of extremely bright Earth-orbiting satellites is due to launch in early- to mid-September. The AST SpaceMobile company plans to orbit more than 100 of these spacecraft by the end of 2024. Astronomers at the Vera Rubin Observatory and the International Astronomical Union's Centre for the Protection of Dark and Quiet Skies from Satellite Constellation Interference (IAU CPS) are concerned because these new spacecraft will interfere with celestial observations, adding to the problems already caused by other constellations.

The first member of this new group, called BlueWalker 3, will feature a giant antenna array covering an area of 64 square meters (689 square feet). Observers on the ground will see bright sunlight reflected from this structure. After on-orbit tests of BlueWalker 3 are completed, the operational satellites, called BlueBirds, will be launched. BlueBirds may produce even more glaring light pollution since they are significantly larger. The commercial appeal of these satellites is that they will link directly to cell phones without the need of a cell tower. AST SpaceMobile has already secured a license from the Federal Communications Commission to test the prototype.

[...] Other bright satellites are waiting in the wings: 30,000 second-generation Starlink satellites are currently awaiting FCC approval. Like the BlueBirds, the new Starlinks may carry antennas for direct connection to cell phones; the antennas are slightly smaller at "only" 25 square meters, but the satellites would be far more numerous than the BlueBird constellation. That development would be very bad news for astronomy.

BlueWalker 3 is expected to be among the brightest objects in the night sky after the antenna unfolds. Amateur astronomers can help record this satellite's brightness, bringing awareness to bright satellites' effects on our night sky and on astronomy.

[...] Astrophotographers can also play an important role in the study of artificial satellites, by uploading celestial images impacted by satellite streaks to the TrailBlazer website. Meredith Rawls and Dino Bektešević (both at University of Washington) are developing this data archive as part of the IAU's response to the problems posed by spacecraft. Trailblazer stores the impacted images and records selected metadata, so users can search for satellite-streaked images by date, location, and other parameters such as sky position and telescope.

See also:
    AST SpaceMobile video describing the phased array satellite.
    NASA APOD showing satellite streaks over a two hour period.

Previously:
    SpaceX Has Had 'Promising Conversations' With Apple About iPhone Satellite Service
    AST SpaceMobile Gets US Approval to Test Satellite-based Cellular Broadband


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  • (Score: 1, Informative) by Anonymous Coward on Wednesday September 21, @05:48PM (2 children)

    by Anonymous Coward on Wednesday September 21, @05:48PM (#1272823)

    Beating down the noise for independent and identically distributed (IID) distributions goes as the square root of the number of samples, so your 10,000 frames would (in principle) knock down your noise by a factor of 100, not 10,000. However, frame averaging only gets you so far when you consider the other sensor noise sources, such as the read noise, fixed pattern noise, etc.. You quickly break the IID assumption when you start changing your background signal because now you're getting variable shot noise thrown in. There are ways to approach all of these things, and you end up with an associated residual error in all of these corrections that end up getting added in quadrature. Assuming you can do a decent job of co-aligning all of your frames, when you rack and stack them it will certainly look much better for it, but you'll find the useful bottom end on your signal is going to be much higher than you might think it should be.

    Everything mentioned so far is great for single band imagery, but if you are using a filter set, now you have the issue where your streak is going to be in different locations for each filter color you use further challenging trying to extract multi-spectral information where you are assuming your combined color image is representative of the scene.

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  • (Score: 2) by JoeMerchant on Wednesday September 21, @08:17PM (1 child)

    by JoeMerchant (3937) Subscriber Badge on Wednesday September 21, @08:17PM (#1272862)

    All good points, and my reference for ensemble averaging is actually in the area of time series data containing cardiac ventricular volumes buried underneath respiratory motions. We would average about 60 heartbeats worth of signal and the cardiac signal would indeed grow to 60x its previous size relative to the (more or less) uncorrelated respiratory signal. There are actually correlations between when your heart beats and your respiratory cycle, but the correlations weren't strong enough to show up in an average of 60 heartbeats.

    We tried all kinds of crazy signal processing ideas over the years, most were pretty meh when applied to real world data, but ensemble averaging exceeded expectations every time we found an application for it, really dramatically good results - with the inherent limitations of the method: your signal has to be repeating, noise at least mostly uncorrelated, what you are getting isn't an instantaneous read but a read of the averaged samples, etc.

    --
    Україна досі не є частиною Росії.
    • (Score: 0) by Anonymous Coward on Wednesday September 21, @10:26PM

      by Anonymous Coward on Wednesday September 21, @10:26PM (#1272903)

      That sounds like something akin to a lock-in amplifier technique where you're using the heartbeat as your oscillator and contributions from anything not correlated with your oscillator attenuate out. It is a wonderful technique, but doesn't seem to be very well known amongst even many of my colleagues who work in labs. There are some techniques like this where I understand the math behind it, and even worked through derivations of the math, but when you see it off the paper and working in a lab do still feel a bit like magic. Especially this going back and forth between the time and frequency domains (or pixel and spatial frequency domains).