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BUT WAIT.... THERE'S MORE! Go read "Scaling K2. II. Assembly of a Fully Automated C5 Planet Candidate Catalog Using EDI-Vetter", led by
@jonKzink! https://arxiv.org/abs/2001.11515 pic.twitter.com/I2nEfPQjmfPrikaži ovu nit -
Many thanks to
@jonKzink,@aussiastronomer,@AstroDressing, David R. Ciardi, and@JoshuaSchlieder for their important contributions to this paper!pic.twitter.com/Tl9tmNSHyDPrikaži ovu nit -
This result would not have been easily identifiable without a uniform set of stellar parameters.pic.twitter.com/nw5qHdkTsB
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This means that the Kepler result is not a fluke, and since K2 probes different regions in the Galaxy, this result is not exclusive to the Kepler field! Here's how the radius valley looks in relation to incident stellar flux (left), and compared Kepler (right).pic.twitter.com/zN5ka4wilO
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Using our new stellar parameters, we re-derived radii for 299 confirmed and 517 candidate planets and something magical happened: WE FOUND A DEFINITIVE PLANET RADIUS GAP FOR THE FIRST TIME IN A DATA SET OTHER THAN KEPLER!pic.twitter.com/IAlZkHbJhx
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We used the Stefan-Boltzmann law to compute radii for AFGK stars, and absolute magnitude-radius relations from Mann+ 2015 for M dwarfs. In total we have new stellar parameters for 222,088 stars!pic.twitter.com/84nlRX5ZyI
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Using the spectroscopic target photometry and parameters as a training set, we used machine learning to derive spectral types, temperatures, surface gravities, and metallicities for targets without a spectrum.pic.twitter.com/WTAc1dmvVG
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The LAMOST pipeline provides spectral types, temperatures, surface gravities, and metallicities for A, F, G, and K stars, but not M dwarfs. Luckily, I know a thing or two about M dwarfs (https://arxiv.org/abs/1905.05900 ).pic.twitter.com/jLh0OIcqQD
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We updated some of the photometry in the EPIC using Pan-STARRS, used the http://gaia-kepler.fun database to cross-match Gaia and K2 targets, and cross-matched the K2 targets with LAMOST to find ~27,000 K2 targets with a spectrum.pic.twitter.com/ofBlTwRTGu
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Gaia measured distances to 1.3 billion stars! But Gaia is not alone in the era of Big Astronomical Data™. Pan-STARRS DR2 is 1.6 petabytes of photometry, and LAMOST DR5 has over 9 million spectra!pic.twitter.com/HWloalVE4w
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The Ecliptic Plane Input Catalog (EPIC; Huber+ 2016) characterized about ~300,000 stars for K2 mostly using proper motions and colors. Then, something completely expected happened. Gaia DR2 came and changed everything...pic.twitter.com/nLWgCzWtji
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K2 (revitalized Kepler spacecraft) stared at a bunch of different fields along the ecliptic plane for ~80 days each in search of planets transiting their host star. To measure the transiting planet radius, we first need to know the host star radius.pic.twitter.com/qMxpcyPQSx
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Before we can do anything with the planets, we must know something about the stars that host them: KNOW THY STAR, KNOW THY PLANET! It is important to measure things like stellar radii, masses, temperatures, etc. in a homogeneous manner for occurrence rates.pic.twitter.com/L2gLOXQ0yY
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NEW PAPER ALERT! "Scaling K2. I. Revised Parameters for 222,088 K2 Stars and a K2 Planet Radius Valley at 1.9 R⊕" https://arxiv.org/abs/2001.11511 (soon in ApJS!) This is the first paper in the "Scaling K2" series, with the ultimate goal of computing planet occurrence rates. But...pic.twitter.com/1AY4I46jce
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I appreciate the optimistic headline from CNN, and loathe the disingenuous clickbait from BGR regarding Spitzer. Frankly, I'm surprised (and happy) I haven't seen any headlines along the lines of "NASA kills $1.3 billion telescope."pic.twitter.com/nUw94mS41o
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Today we bid adieu to another space telescope that helped kick start my research.
@NASAspitzer joins Kepler in retirement, drifting along in their Earth-trailing orbits. Farewell my infrariend, thanks for all the brown dwarf and exoplanet follow-up!#SpitzerFinalVoyagepic.twitter.com/kBGZtlN24k
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Galileo/Galilei https://twitter.com/stephtdouglas/status/1222713879689515008 …pic.twitter.com/V7FTUUN0r2
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People keep saying "real" (adjective) when they actually mean "really" (adverb).pic.twitter.com/sQNLoGtaRu
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