A research has made about an undiscovered planet in our solar system, and the results came with four possibilities. Zooniverse citizen science project consist of this Planet Nine hunt program, it’s been conducted in real time with live broadcast of BBC.
The project was hosted at the Siding Spring Observatory at Australian National University (ANU). It was a big research in terms of the numbers of people, about 60,000 people from all over the world participated in the search, which turned up to classify more than four million other objects including four possible candidates for Planet Nine.
Participants worked using data from Siding Spring's SkyMapper telescope. Brad Tucker had has the leading role, by ANU Researcher, and team agreed with one of the four possibilities regardless of whether. The scientific value of the project was certainly verified.
Other researchers agree with the ANU team's sentiment: astronomer Mike Brown of Caltech tweeted his support for the project. Last year, Brown and his colleague Konstantin Batygin made a discovery regarding this project and discovered that the orbits of a few different objects in the Kuiper Belt were being prejudiced by a massive body. This is the possibility of the existence of a huge Neptune size planet in our solar system far beyond Pluto.
It is a big challenge for astronomers and scientists to prove this possibility in real, with the help of the evidences they have observed. For one, it is probably 1,000 times fainter than Pluto. The task for researchers, then, is to sift through old data and make new observations. That's where the crowdsourced project came in.
"With the help of tens of thousands of dedicated volunteers sifting through hundreds of thousands of images taken by SkyMapper, we have achieved four years of scientific analysis in under three days. One of those volunteers, Toby Roberts, has made 12,000 classifications."
The ANU team will continue their search and try to confirm whether or not one of the space objects is, in fact, Planet Nine. This experience is a proof of team work of people who are passionate about science. Deep learning and the James Webb Space Telescope are the tools that could one day make this kind of research happen quickly and easily.
This post was written by Usman Abrar. To contact the writer write to firstname.lastname@example.org. Follow on Facebook