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32 lines
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32 lines
1.4 KiB
Plaintext
Fast astronomical photometry of variable stars
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Super-resolution of astronomical images
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Artificial intelligence in the analysis of astronomical data
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The newly discovered Kepler-90i (a sizzling hot, rocky planet that orbits its star once every 14.4 days) was found using machine
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learning from Google during searching through archived Kepler data - an approach to artificial intelligence in which
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computers learn to identify planets
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Data mining in astronomy
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Cross--identification solves the problem of connecting the source list in observational data to the source
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list in data archives and catalogs
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Cross-correlation which makes new discoveries possible based on the analysis of already existing data
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Nearest- Neighbor Identification which is estimating the photometric redshifts of galaxies or quasars by
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application of clustering algorithms in a multi-dimensional parameter space
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Systematic Data Exploration which is the- application of specific queries to a database to make a discovery
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of new objects or a new class of objects
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Visualization of astronomical data
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Data is being collected increasingly often during a single observation, which creates new
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challenges for data interpretation.
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Selected large astronomical databases
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- The Astrophysics Data System (ADS)
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- The Sloan Digital Sky Survey (SDSS)
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- SIMBAD (The Set of Identifications, Measurements and Bibliography for Astronomical Data)
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- VizieR
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- The Virtual Observatory (VO)
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- ESO Online Digitized Sky Survey (DSS)
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