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Supernova algorithm classifies 1,000 dying stars without error

Astronomers from the California Institute of Technology (Caltech) have used a machine algorithm to classify 1,000 cosmic explosion supernovas.

Ashish mahabalMatthew grahamChristoffer fremlingCaltech centerSpectral energy distribution machineCalifornia institute of technology caltechCalifornia instituteZwicky transient facilitySamuel oschin telescope

Machine learning autonomously identify 1,000 supernovae -- Science & Technology -- Sott net

Today's astronomical facilities scan the night sky deeper and faster than ever before. Identifying and classifying known and potentially interesting cosmic events is becoming impossible for one or a group of astronomers. Therefore, increasingly.

United statesSan diegoKitt peakCalifornia institute of technologyPalomar mountainAshish mahabalMatthew grahamChristoffer fremlingCaltech centerSpectral energy distribution machineBright transientCalifornia instituteZwicky transient facilityPalomar observatoryData driven discoveryKitt peak observatory

Black Widow Star Devours Its Rapidly Circling Companion

In black widow star systems, a rapidly spinning dead star, called a pulsar, blasts its orbiting companion with radiation, slowly evaporating it. Like

San diegoUnited statesCanary islandsSpain generalDmitry duevJim fullerMatthew grahamJan van roestelShri kulkarniAshish mahabalIras bowenAndrew drakeIllaria caiazzoAmruta jaodandTom princeHeising simons foundation

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