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SITCOMTN-154: Initial studies of photometric redshifts with LSSTComCam from DP1

Dataset ·
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [10];  [11];  [12];  [13];  [14];  [15]
  1. SLAC National Accelerator Laboratory; Kavli Institute for Particle Astrophysics and Cosmology, SLAC National Accelerator Laboratory
  2. Institute for Data-intensive Research in Astrophysics and Cosmology, University of Washington
  3. Department of Physics and Astronomy, University of Pittsburgh
  4. Department of Physics & Astronomy, University of California, Davis
  5. Department of Physics and Astronomy, Stony Brook University
  6. Université Clermont-Auvergne, CNRS/IN2P3, LPCA
  7. Dept. of Astronomy, University of Washington; Institute for Data-intensive Research in Astrophysics and Cosmology, University of Washington
  8. Laboratorio Interinstitucional de e-Astronomia
  9. SLAC National Accelerator Laboratory
  10. Department of Physics, Duke University; Department of Astrophysical Sciences, Princeton University
  11. McWilliams Center for Cosmology & Astrophysics, Department of Physics, Carnegie Mellon University
  12. Department of Physics, Duke University
  13. Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
  14. Université Savoie Mont-Blanc, CNRS/IN2P3, LAPP
  15. Department of Astrophysical Sciences, Princeton University
+ Show Author Affiliations
This technote holds reports based on the first analyses of the Data Preview 1 (DP1) data by the Science Unit for photometric redshifts. Although photometric redshifts are not an official DP1 data product, the "Photo-z Science Unit" generated photo-z estimates for every galaxy in DP1 using the available multi-band imaging on a best-effort basis. This work included developing training and test datasets by matching DP1 data to high-quality reference redshifts obtained with spectroscopy, Grism data, and multi-band photometry. The Science Unit used the RAIL software package to make photometric redshift estimates using eight different algorithms, developed simple scientific performance metrics, used those metrics to explore how the performance of the algorithms varied with configuration changes, derived more optimized configurations of the algorithms and tested the performance of those configurations. This work, the resulting data products and expected data distribution mechanism are all described there.
Research Organization:
NSF-DOE Vera C. Rubin Observatory
Sponsoring Organization:
U.S. National Science Foundation; U.S. Department of Energy Office of Science
DOE Contract Number:
AC02-76SF00515
OSTI ID:
2571480
Report Number(s):
Vera C. Rubin Observatory Commissioning Technical Note SITCOMTN-154
Country of Publication:
United States
Language:
English

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Cited By (2)

SITCOMTN-163: Source Selection for Abell 360 in LSSTComCam Data Preview 1 dataset January 2025
SITCOMTN-161: PSF assessment in the field of Abell 360 and shapeHSM shear profile using LSSTComCam data dataset January 2025

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Related Subjects

79 ASTRONOMY AND ASTROPHYSICS