Evaluation of probabilistic photometric redshift estimation approaches for LSST

10 Jan 2020 Schmidt S. J. Malz A. I. Soo J. Y. H. Almosallam I. A. Brescia M. Cavuoti S. Cohen-Tanugi J. Connolly A. J. DeRose J. Freeman P. E. Graham M. L. Iyer K. G. Jarvis M. J. Kalmbach J. B. Kovacs E. Lee A. B. Longo G. Morrison C. B. Newman J. A. Nourbakhsh E. Nuss E. Pospisil T. Tranin H. Wechsler R. H. Zhou R. Izbicki R. Collaboration The LSST Dark Energy Science

Many scientific investigations of photometric galaxy surveys require redshift estimates, whose uncertainty properties are best encapsulated by photometric redshift (photo-z) posterior probability density functions (PDFs). A plethora of photo-z PDF estimation methodologies abound, producing discrepant results with no consensus on a preferred approach... (read more)

PDF Abstract
No code implementations yet. Submit your code now

Categories


  • COSMOLOGY AND NONGALACTIC ASTROPHYSICS
  • INSTRUMENTATION AND METHODS FOR ASTROPHYSICS