ASTROMETRY.NET: BLIND ASTROMETRIC CALIBRATION OF ARBITRARY ASTRONOMICAL IMAGES

@inproceedings{Lang2010ASTROMETRYNETBA,
  title={ASTROMETRY.NET: BLIND ASTROMETRIC CALIBRATION OF ARBITRARY ASTRONOMICAL IMAGES},
  author={Dustin Lang and David W. Hogg and Keir Mierle and Michael Blanton and Sam Roweis Department of Computer Science and University of Toronto and Princeton University Observatory and Center for CosmologyParticle Physics and New York University and Max-Planck-Institut fur Radio Astronomie and Google Inc. and Computer Science Department},
  year={2010}
}
We have built a reliable and robust system that takes as input an astronomical image, and returns as output the pointing, scale, and orientation of that image (the astrometric calibration or WCS information). The system requires no first guess, and works with the information in the image pixels alone; that is, the problem is a generalization of the “lost in space” problem in which nothing—not even the image scale—is known. After robust source detection is performed in the input image, asterisms… CONTINUE READING

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PhD in Computer Science, University of Toronto, 10 King’s College Road, Toronto, Ontario

  • D. Lang
  • 2009
1 Excerpt

Transient Factory, & DeepSky Project

  • P. E. Nugent, Palomar
  • Bulletin of the American Astronomical Society,
  • 2009

Astronomical Society of the Pacific Conference Proceedings, in press Harvey, C

  • Int. J. Comput. Vision,
  • 2004

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