Astronomical imaging: The theory of everything

@article{Hogg2008AstronomicalIT,
  title={Astronomical imaging: The theory of everything},
  author={D. Hogg and D. Lang},
  journal={ArXiv},
  year={2008},
  volume={abs/0810.3851}
}
We are developing automated systems to provide homogeneous calibration meta‐data for heterogeneous imaging data, using the pixel content of the image alone where necessary. Standardized and complete calibration meta‐data permit generative modeling: A good model of the sky through wavelength and time—that is, a model of the positions, motions, spectra, and variability of all stellar sources, plus an intensity map of all cosmological sources—could synthesize or generate any astronomical image… Expand
4 Citations
Astrometry.net: Automatic Recognition and Calibration of Astronomical Images
  • 3
  • PDF
Telescopes don't make catalogues!
  • 10
  • PDF
The Art of Data Science
  • 14
  • PDF

References

SHOWING 1-10 OF 11 REFERENCES
Information Theory, Inference, and Learning Algorithms
  • D. Mackay
  • Computer Science
  • IEEE Transactions on Information Theory
  • 2004
  • 8,376
  • PDF
C.,et al., 2005,Astrophys
  • J. Lett. ,
  • 2005
Astron. J
  • Astron. J
  • 2008
Astrophys. J. Supp. Ser
  • Astrophys. J. Supp. Ser
  • 2008
Astrophys. J. Lett
  • Astrophys. J. Lett
  • 2005
Astronomical Data Analysis Software and Systems VII
  • 378
Statistical and Inductive Inference by Minimum Message Len gth, Springer
  • The Computer Journal ,
  • 1968
Just one example of how complex things become is presented by Even that paper works in an approximate regime, greatly simplifying the real problem
  • Astron. J. Astrophys . J. Supp. Ser. Astrophys. J
  • 1579
...
1
2
...