Publication Abstracts

Way 2012

Way, M.J., 2012: Commentary: Learning about the sky through simulations. In Statistical Challenges in Modern Astronomy V. E.D. Feigelsson and B. Jogesh, Eds., Lecture Notes in Statistics, vol. 209. Springer, pp. 361-366, doi:10.1007/978-1-4614-3520-4_34.

The Large Synoptic Survey Telescope (LSST) simulator being built by Andy Connolly and collaborators is an impressive undertaking and should make working with LSST in the beginning stages far more easy than it was initially with the Sloan Digital Sky Survey (SDSS). However, I would like to focus on an equally important problem that has not yet been discussed here, but in the coming years the community will need to address — can we deal with the flood of data from LSST and will we need to rethink the way we work?

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BibTeX Citation

@inproceedings{wa03400p,
  author={Way, M. J.},
  editor={Feigelsson, E. D. and Jogesh, B.},
  title={Commentary: Learning about the sky through simulations},
  booktitle={Statistical Challenges in Modern Astronomy V},
  year={2012},
  volume={209},
  pages={361--366},
  publisher={Springer},
  series={Lecture Notes in Statistics},
  doi={10.1007/978-1-4614-3520-4_34},
}

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RIS Citation

TY  - CPAPER
ID  - wa03400p
AU  - Way, M. J.
ED  - Feigelsson, E. D.
ED  - Jogesh, B.
PY  - 2012
TI  - Commentary: Learning about the sky through simulations
BT  - Statistical Challenges in Modern Astronomy V
T3  - Lecture Notes in Statistics
VL  - 209
SP  - 361
EP  - 366
DO  - 10.1007/978-1-4614-3520-4_34
PB  - Springer
ER  -

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