On February 24th, the Vera C. Rubin Observatory activated its automated alert system, sending out roughly 800,000 real-time notifications flagging asteroids, supernovae, flaring black holes and "other transient celestial events," reports Scientific American. And this is only the beginning -- that number is projected to climb into the millions as it continues scanning the ever-changing sky. From the report: The astronomical observatory equipped with world's largest camera hit a key milestone on February 24, when a complex data-processing system pushed hundreds of thousands of alerts out to scientists eager to pore over its most exciting sightings. The Vera C. Rubin Observatory began operations last year, capturing stunning, panoramic time-lapse views of the cosmos with ease. Rubin's first images, based on just 10 hours of observations, let space fans zoom seemingly forever into an overwhelmingly starry sky. But watchful astronomers were always awaiting the next step: the system that would automatically alert them to the most promising activity in the overhead sky amid the 1,000 or so enormous images that Rubin's telescope captures every night.

"We can detect everything that changes, moves and appears," said Yusra AlSayyad, an astronomer at Princeton University and Rubin's deputy associate director for data management, to Scientific American last summer. "It's way too much for one person to manually sift through and filter and monitor themselves." So even as they were designing and building the Rubin Observatory itself, scientists were also designing an alert system to help astronomers navigate the flood of data. As soon as the telescope began observations, the team started constructing a static reference image of the entire sky in impeccable detail.

Now the data processing systems that support the observatory are starting to automatically compare every new Rubin image to the corresponding section of that background template. The systems identify all of the differences, each of which is individually flagged. The algorithms can also distinguish between a potential supernova and a possible newfound asteroid, for example. Alerting the scientific community is the final, crucial step. Astronomers -- as well as members of the public -- can sign up for notifications based on the type of sighting they're interested in and the brightness of the observation in question. And now that the alerts system has gone live, users receive a tiny, fuzzy image with some astronomical metadata of each observation that fits their criteria -- all just a couple of minutes after Rubin captures the original image.

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