18 New Planets Just Showed Up

As engineers work to design better telescopes, both earth- and space-based, another kind of astronomy is taking place and teaching us astonishing things about our galaxy. Even though the Kepler space telescope ran out of fuel 8 months ago, the 1.38 terabytes of data (my calculation) that it generated is still being examined — by a new breed of astronomer who writes code at a computer, instead of watching the sky through lens.

They are developing smarter algorithms to scan all that data to identify objects and phenomena that were previously hidden in the digital noise. René Heller, of Germany’s Max Planck Institute for Solar System Research, and his colleagues recently uncovered 18 new planets. All of them are small, with the largest being just a bit wider than two Earths. One of the worlds is among the tiniest Kepler has yet found; it’s just 70 percent of Earth’s width. Another orbits in the habitable zone of a red dwarf star, where the temperature might allow liquid water to remain on its surface.

The 18 newly discovered planets, seen in this illustration in orange and green, are all smaller than Neptune, with three even smaller than Earth. The green planet, dubbed EPIC 201238110.02, is the only one in the new haul that might be friendly to life.

Anna Alfonso has written a good description of data astronomy (The State of Data in Astronomy) in her blog, data iku.

There are now 3,972 confirmed exoplanets, worlds that are orbiting other stars, according to NASA’s Exoplanet Archive.

Initial Source: https://on.natgeo.com/2IlA7Xv

Back in the Code

I do not know how many times I’ve said to myself that, “I’ve learned my last programming language.” But it’s what got me hooked on computers, that in 1981 the only way to making them useful was to learn to program them.

Interactive area graphics representing data from the U.S. Census Bureau. Click the Image to see the interactive version.

During the last years of my advocacy work I became fascinated by infographics and data visualization. Data viz was more captivating because there was magic there, “..making numbers tell their story,” I use to say.

Anyway, reading about some of the visualizations being featured in the dataisbeautiful sub/reddit, I learned that a lot of people were using a language called R. Above are a couple that I’ve been working on for the past week or so. Click them to see the interactive versions.