You Can Now Join the Search for Alien Worlds
BY Sequoyah Kennedy
Have you always wanted to explore space and find strange new alien worlds? Are you too
lazy to leave your comfortable chair and the warm, reassuring glow of your computer screen?
Google has some good news for you armchair star-ship captains out there. The machine-learning
code responsible for the discovery of two exoplanets back in December has been released
to the public, so you can now join the ongoing search for exoplanets and help uncover the
strange secrets of our universe.
In a blog post published Thursday, March 8, senior Google software engineer Chris Shallue
detailed the machine-learning code and how it can be used to help search for alien planets.
To detect planets outside our solar system using tools like the Kepler space telescope,
astronomers look at the light and other cosmic radiation that hits the telescope�s photometer.
When there�s a conspicuous dip in an otherwise stable amount of light being detected by the
telescope, there�s a chance that a planet, star, or something else may be responsible
for blocking out some the light. There�s a chance, too, that it might just be instrumental
noise. Once an anomaly in the signal is noticed, an algorithm makes a calculation as to the
probability of an exoplanet�s existence. It�s not confirmed, however, until an astronomer
manually looks through the data and can make an informed decision about what is causing
the anomaly.
Because of the immense amount of data being analyzed, astronomers had to develop a way
to avoid being overwhelmed by false positives caused by instrumental noise. A signal-to-noise
cutoff ratio is applied to the data and any signals below the cutoff point are deemed
too likely to be noise to warrant further review. While necessary, such a practice means
there may be a number of actual exoplanets who�s signal was below the cutoff ratio,
most likely smaller Earth-sized planets, the planets most likely to harbor alien life.
That�s where Google�s code comes in.
you can help telescopes find alien planets. This telescope needs your help to find weird
alien planets.
Google�s code looks through the rejected Kepler signals and, like the terrifying piece
of artificial intelligence it is, learns more ways to separate signal noise and actual anomalies.
To test this, Google put its code to work on the data from 670 stars observed by the
Kepler telescope and rejected by the automated analysis. From that formerly rejected data,
Google identified two more exoplanets, Kepler-90 i and Kepler-80 g.
There is much more rejected Kepler data to sort through and Google has released its code
to the public in hopes that open-sourcing it can help improve it. There is another space
telescope being launched next month, too: the Transiting Exoplanet Survey Satellite
(TESS) will launch on April 16, 2018 for a two year mission to observe potential exoplanets.
This mission also uses the transiting method of detection, and Google�s code will likely
be instrumental in distinguishing noise from potential alien worlds.
Find planets from your computer with Google's machine-learning code.
This is what planet discovery looks like. Isn�t the future great?
You can find the download for the code, and instructions on how to use it, on GitHub.
If the thought of a machine-learning code on your computer makes you uneasy, you can
also help sort data with your eyes, the old fashioned way.
For more infomation >> Un maestro Qi-Gong real demuestra su energía Chi - Duration: 3:11. 
For more infomation >> LAS TRES SKATEBOARDS MAS PESADAS DEL MUNDO! (SUBTITULADO) - Duration: 14:36. 
For more infomation >> 5 soldiers injured in avalanche near Smugglers' Notch - Duration: 1:55. 
For more infomation >> Escabroso hallazgo de cuatro muertos en un apartamento | Al Rojo Vivo | Telemundo - Duration: 1:56. 
For more infomation >> Modernized gambling bill aims to generate funds for teachers, education - Duration: 1:07. 
For more infomation >> Maestro disparó en pleno salón de clases | Al Rojo Vivo | Telemundo - Duration: 0:43. 
For more infomation >> Perro murió encerrado en compartimento para maletas | Al Rojo Vivo | Telemundo - Duration: 3:15. 
For more infomation >> New flu numbers released for Forsyth County for 2017-18 season - Duration: 1:33. 
For more infomation >> A look at snowfall totals - Duration: 1:13. 
For more infomation >> Albuquerque High takes unique approach to national walkout movement - Duration: 2:09. 
For more infomation >> Fayetteville HS students march downtown in protest - Duration: 1:22. 
For more infomation >> Acribillan a un adolescente en su propia casa | Al Rojo Vivo | Telemundo - Duration: 0:32. 
For more infomation >> Agente de finanzas mata a un cliente a quemarropa - Duration: 0:39. 
For more infomation >> Marcha de estudiantes exige restricción de uso de armas | Al Rojo Vivo | Telemundo - Duration: 2:02. 
For more infomation >> Así fue la lectura de 34 cargos contra Nikolas Cruz | Al Rojo Vivo | Telemundo - Duration: 0:45. 
For more infomation >> Involucran a jugador de béisbol en violencia doméstica | Al Rojo Vivo | Telemundo - Duration: 0:28. 
Không có nhận xét nào:
Đăng nhận xét