Recent comments in /f/space

valcatosi t1_j9z2ta7 wrote

The Lagrange points themselves are (theoretically) literally points. Zero spatial extent. The reason they're useful is that you can enter what's colloquially known as a "halo orbit" around them. Those orbits can be enormous - there's plenty of room for all the telescopes we could ever send.

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DBDude t1_j9z1jov wrote

My point is that the Soviets mastered this design almost 50 years ago, yet BO is having problems doing it just with a different fuel. Nobody's ever mastered full-flow staged combustion (didn't go beyond testing), yet SpaceX appears further along with that than BE-4, in about the same amount of time. My bet is that it's mostly management issues.

Edit: New news: ULA is having problems qualifying one of the engines for flight because it keeps pumping out too much oxygen. You'd think BO would at least have something like this right before they shipped, but apparently the engines had only minimal testing.

I like SpaceX, but I don't want them being the only cheap, reusable medium+ launch service out there. BO needs to get its act together.

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Fufrasking t1_j9z0gp0 wrote

None. When i was a kid I was fascinated with the apollo program now, not so much. Same technology put on hold for 50 years and started up again. Fuck Musk, Bezos et al for their rockets. Nothing new just overly rich people playing with their toys with our money. Lets not pretend they are doing something new. Kamen invented booster landing tech 25 years ago. Remember the segway?

Rockets blasting into near earth orbit. Wow. Pinch me. And smaller and less powerful than the Saturn rockets of my youth. Wow.

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Disastrous_Elk_6375 t1_j9yzjmx wrote

No. There are definitely areas where ML can help. We have models that are known to be good at classification and that also generalise reasonably well. These models can and should be used to speed up the "anomaly detection" in a large amount of data. These models are also better at the task than manually defined "traditional" algorithms.

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