To Search For A New Supernova, Build A New Camera : The Two-Way Most telescope cameras can only capture a small patch of sky at a time. But a new camera has a much larger field of view, and its backers are hoping for help in deciphering its reams of data.
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To Search For A New Supernova, Build A New Camera

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To Search For A New Supernova, Build A New Camera

To Search For A New Supernova, Build A New Camera

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  • <iframe src="" width="100%" height="290" frameborder="0" scrolling="no" title="NPR embedded audio player">
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One of the most spectacular events in the cosmos is a supernova. It's this enormous explosion at the end of a massive star's life. Astronomers have found approximately 6,500 of these events in the last century, more than half of those in just the last decade, but they're really hungry for more. As part of his project Joe's Big Idea, NPR's Joe Palca brings us the story of an astronomer who is planning to automate the search for supernovae.



GREENE: I believe that is plural for supernova.


GREENE: This astronomer thinks that students may actually hold the key to the success of his project.

JOE PALCA, BYLINE: You might think that 6,500 supernovae would give astronomers plenty to chew on, but Shrinivas Kulkarni says you really can't have too many.

SHRINIVAS KULKARNI: The more you find, there's always a chance you'll find something exotic.

PALCA: Kulkarni is an astronomer at Caltech in Pasadena. He's made his share of exotic discoveries. Now he's after exotic supernovae. The way astronomers work has changed a lot in the last few decades. Kulkarni says in the past, astronomers actually had to go to observatories on the tops of mountains.

KULKARNI: You trundle off to a telescope, you open the dome, you sniff the air, you take data, you see things with the eyes.

PALCA: But now that romantic image of a lone astronomer peering into the night sky is gone. The telescope is under computer control, special cameras record all the data and astronomers don't have to leave their offices to see the results. That automation has advantages. Since you don't know precisely where or when a supernova will show up, you have to keep coming back to the same patch of sky over, and over, and over, and over, and over again, hoping you'll catch an explosion in the act. For human astronomers, this is extremely tedious. Machines don't seem to mind. Starting in 2017, Kulkarni plans to deploy camera that can capture the entire night sky in just three nights of observing and it can do so all on its own.

KULKARNI: This project was designed to become like an industrial factory for cosmic discovery.

PALCA: No more trundling off to observatories or peering into the night sky.

KULKARNI: Everything will automate. Almost my mantra was - the best way to do astronomy is to get the astronomers out of the dome.

PALCA: Does it make you sad at all that you lose some of that romance, or is it more exciting to get the data?

KULKARNI: Yeah, it is a bit sad. You know, it's always sad to go into a world where it's just very different from a world you grew up in.

PALCA: But Kulkarni says what you get in exchange is worth it.

KULKARNI: I was born as a Hindu but I consider myself as a Buddhist and one of the things that Buddha said - apparently - is, the only constant in life is change.

So I welcome change because those who don't welcome change will be crushed anyway.

PALCA: Kulkarni says the challenge for astronomers today is finding what they are looking for in the mountain of data their telescopes are collecting. He says to find supernovae in the data or any other cosmic event you don't actually have to be an astronomer.

KULKARNI: All it requires you to have is understand data, be a clear thinker, no programming skills and a little hard work and a little bit of luck, and you may make a discovery.

PALCA: Kulkarni says young people who've grown up with computers have a leg up in designing the new kinds of software that will be needed to make discoveries. That's why he's invited undergraduates to participate in the project - and he's not limiting participation to people in academia.

KULKARNI: Maybe if some of your listeners are some software geniuses, they can call me. I can make them famous.

PALCA: And hey, if you do join the search and find something interesting, let me know. That would make a great story. Joe Palca, NPR News.

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