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Hashtags:
#outerspace, #asteroidimagery, #advanced
Contact:
Tags:
Model, Platform, Data Visualization, Citizen Science
Background
How might we use the new generation of pattern recognition tools to accelerate the work of Asteroid Characterization?
A goal of the Asteroid Grand Challenge is to identify the millions of yet undiscovered Near Earth Objects (NEOs) that could pose a threat to Planet Earth. Many of these Asteroids require infra-red space-based hardware to locate, however once their position is identified, follow-up observations can be made that help gather light curve data - enabling estimates of composition, albedo, rotation and other characteristics.
Where progress is being made locating these objects, a significant ‘characterization gap’ exists in understanding the Asteroid itself; whether an Asteroid is iron, rocky or a pile of pebbles, has implications on its future orbit and utility. Indeed of the 1% of sub-100m objects so far being tracked, only 2% of these have been successfully characterized.
Challenge
To tackle the ‘characterization gap’, innovative citizen science projects have emerged to parcel the problem and share it among an army of volunteers. However, as telescopes around the world (and in orbit) scale up in resolution and data through-put, the challenge remains: how do we process this data to solicit a meaningful output?
We want you to design an automated mechanism for processing photometric studies of Asteroids (i.e. Light curves) using computer vision, pattern recognition or neuromorphic technologies.
Considerations
Don’t worry if you can’t demonstrate your solution within the timeframe of the Space Apps weekend. We recognize neuromorphic processors aren’t available at a local radio parts store. We’ll be happy to see your theoretical approaches and concept notes, then feel free to keep working.
If you build a simulation or demo:- Specify what data sets/ sources are being used if the library is pulling in existing sources of imagery
- Clearly describe which open source tools/ APIs your solution is drawing from or other resources you require to complete a functioning system.
Sample Resources (Participants do not have to use these resources, and NASA in no way endorses any particular entity listed).
- http://www.minorplanetcenter.net
- http://neo.jpl.nasa.gov/programs/neowise.html
- http://www.astrometrica.at
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The following projects are solving this challenge:
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Transition in spacetime The momentary intraday point of position of time and space together
Einstein in his theory of relativity proved that the time and space is one and there are 4 dimensions (three space dimensions + one time dimension). i will study the space and time as one dimension called ( spacetime). It is two dimensional between them strong Correlation make them as one dimensi... Visit Project
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Alcubierre SuperTrajectories
Classified. Visit Project
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“The one theory of spacetime
Einstein in his theory of relativity proved that the time and space is one and there are 4 dimensions (three space dimensions + one time dimension). i will study the space and time as one dimension called ( spacetime). It is two dimensional between them strong Correlation make them as one dimensi... Visit Project
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ASCAVIS
Our solar system harbours millions of asteroids. On first sight an asteroid might just be a pile of rock in space. But if you look closer, there's much more to discover. #Why do asteroids matter? Asteroids are the remnant debris of the planet formation processes in the early solar system. The... Visit Project
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DBNN.NASA
DBNN.NASA is a project to classify asteroids based on light curves using neural networks. The DL4J library was used to train a deep neural network based on 6000 known asteroids with lightcurve data from the NASA WISE project. Our program can automatically scrape the minor planet center’s webs... Visit Project
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Neuromorphic Asteroid Analysis
# Introduction Currently there are many asteroids for which light curves exist but which classifications do not, ideally spectroscopic investigations would be performed on each of these bodies in turn to define their spectroscopic class. This project aims to link the photometric properties of ... Visit Project
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Asteroid Heroes
The heavy lift in understanding asteroids is in the classification. We took existing classifications and use machine learning to train algorithms to automatically classify larger data sets. We also enabled a front end submission tool so that citizen scientists and backyard astronomers can partici... Visit Project
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SpaceShield
*"To be glad of life, because it gives you the chance to love and to work and to play and to look up at the stars", Henry Van Dyke* #Introduction Our world is immensely fragile. One of the greatest existential threats (except for the ones we generate ourselves) comes from the space. NEO's... Visit Project
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