Hola amigos: A VUELO DE UN QUINDE EL BLOG., hemos recibido de la Agencia Espacial NASA, una información de : Una aplicación de software basada en un algoritmo creado por un desafío NASA tiene el potencial de aumentar el número de los nuevos descubrimientos de asteroides por astrónomos aficionados..................."
NASA's Asteroid Data Hunter contest series was part
of NASA's Asteroid Grand Challenge, which is focused on finding all asteroid
threats to human populations and knowing what to do about
them.
Image Credit:
NASA
A software application based on an algorithm created by a NASA challenge has
the potential to increase the number of new asteroid discoveries by amateur
astronomers.
Analysis of images taken of our solar system’s main belt asteroids between
Mars and Jupiter using the algorithm showed a 15 percent increase in positive
identification of new asteroids.
During a panel Sunday at the South by Southwest Festival in Austin, Texas,
NASA representatives discussed how citizen scientists have made a difference in
asteroid hunting. They also announced the release of a desktop software
application developed by NASA in partnership with Planetary Resources, Inc., of
Redmond, Washington. The application is based on an Asteroid Data Hunter-derived
algorithm that analyzes images for potential asteroids. It’s a tool that can be
used by amateur astronomers and citizen scientists.
The Asteroid Data Hunter challenge was part of NASA’s Asteroid Grand
Challenge. The data hunter contest series, which was conducted in partnership
with Planetary Resources under a Space Act Agreement, was announced at the 2014
South by Southwest Festival and concluded in December. The series offered a
total of $55,000 in awards for participants to develop significantly improved
algorithms to identify asteroids in images captured by ground-based telescopes.
The winning solutions of each piece of the contest combined to create an
application using the best algorithm that increased the detection sensitivity,
minimized the number of false positives, ignored imperfections in the data, and
ran effectively on all computer systems.
“The Asteroid Grand Challenge is seeking non-traditional partnerships to
bring the citizen science and space enthusiast community into NASA’s work,” said
Jason Kessler, program executive for NASA’s Asteroid Grand Challenge. “The
Asteroid Data Hunter challenge has been successful beyond our hopes, creating
something that makes a tangible difference to asteroid hunting astronomers and
highlights the possibility for more people to play a role in protecting our
planet.”
The Big Dipper rising behind the Catalina Sky
Survey 60" telescope.
Image Credit:
Catalina Sky Survey, University of
Arizona
The data hunter challenge incorporated data provided by the Minor Planet
Center (MPC), at the Harvard-Smithsonian Center for Astrophysics in Cambridge,
Massachusetts, and images provided by the Catalina Sky Survey, an astronomical
survey project run by the University of Arizona, Tucson, and focused on the
discovery and study of near-Earth asteroids and comets.
“We applaud all the participants in the Asteroid Data Hunter challenge. We
are extremely encouraged by the algorithm created and it’s already making a
difference. This increase in knowledge will help assess more quickly which
asteroids are potential threats, human destinations or resource rich,” said
Chris Lewicki, president and chief engineer at Planetary Resources. “It has been
exciting for our team to work with NASA on this project, and we also look
forward to future space-based systems leveraging these results.”
Astronomers find asteroids by taking images of the same place in the sky and
looking for star-like objects that move between frames, an approach that has
been used since before Pluto was discovered in 1930. With more telescopes
scanning the sky, the ever-increasing volume of data makes it impossible for
astronomers to verify each detection by hand. This new algorithm gives
astronomers the ability to use computers to autonomously and rapidly check the
images and determine which objects are suitable for follow up, which leads to
finding more asteroids than previously possible.
“The beauty of such archives is that the data doesn't grow stale, and with
novel approaches, techniques and algorithms, they can be harvested for new
information. The participants of the Asteroid Data Hunter challenge did just
that, probing observations of the night sky for new asteroids that might have
slipped through the software cracks the first time the images were analyzed,”
said Jose Luis Galache of the MPC. “Moreover, this software can now be used to
analyze new images and is available to any observer who wants to use it. The
Minor Planet Center applauds these efforts to provide superior tools to all, and
looks forward to receiving new asteroid observations generated with them.”
The desktop software application is free and can be used on any basic desktop
or laptop computer. Amateur astronomers may take images from their telescopes
and analyze them with the application. The application will tell the user
whether a matching asteroid record exists and offer a way to report new findings
to the Minor Planet Center, which then confirms and archives new
discoveries.
Through NASA's asteroid initiative, the agency seeks to enhance its ongoing
work in the identification and characterization of near-Earth objects for
further scientific investigation. This work includes locating potentially
hazardous asteroids and identifying those viable for redirection to a stable
lunar orbit for future exploration by astronauts using NASA’s Space Launch
System rocket and Orion spacecraft. The Asteroid Grand Challenge, one part of
the asteroid initiative, expands the agency's efforts beyond traditional
boundaries and encourages partnerships and collaboration with a variety of
organizations.
The algorithm contests were managed and executed by NASA's Center of
Excellence for Collaborative Innovation (CoECI). CoECI was established at the
request of the White House Office of Science and Technology Policy to advance
NASA’s open innovation efforts and extend that expertise to other federal
agencies. CoECI uses the NASA Tournament Lab (NTL) for its advanced algorithmic
and software development contests. Through its contract with the Crowd
Innovation Lab at Harvard University, NTL uses Appirio’s Crowdsourcing platform
powered by Topcoder to enable a community of more than 750,000 designers,
developers and data scientists to create the most innovative, efficient and
optimized solutions for specific, real-world challenges faced by NASA. Data
storage of the Catalina Sky Survey data was provided by Amazon Web Services.
The new asteroid hunting application can be downloaded at:
For information about NASA’s Asteroid Grand Challenge, visit:
NASA
Guillermo Gonzalo Sánchez Achutegui
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