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Deep Spectroscopy with DESI for Photometric Redshift Training and Calibration

Journal Article · · No journal information
OSTI ID:3029814
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  1. U. Toronto (main); Canadian Inst. Theor. Astrophys.; Toronto U.; Pittsburgh U.
  2. Pittsburgh U.
  3. LBL, Berkeley
  4. Boston U.
  5. Milan U.; Brera Observ.
  6. University Coll. London
  7. Barcelona, IEEC; ICE, Bellaterra
  8. Utah U.
  9. UNAM, Mexico
  10. Natl. Solar Observ., Tucson
  11. LBL, Berkeley; UC, Berkeley, Math. Dept.
  12. ICREA, Barcelona; Barcelona, IFAE
  13. Barcelona, IEEC; Portsmouth U., ICG; ICE, Bellaterra
  14. Virginia U.
  15. Munich, Tech. U., Universe; Munich U.
  16. Fermilab
  17. Paris, Inst. Astrophys.; IRFU, Saclay
  18. Chicago U., KICP; Ohio State U.
  19. U. Texas, Dallas
  20. Southern Methodist U.
  21. UC, Irvine
  22. LPNHE, Paris
  23. Lick Observ.; UC, Santa Cruz
  24. Barcelona, IFAE; Barcelona, Autonoma U.
  25. Chicago U., KICP; Ohio State U., Dept. Astron.
  26. Princeton U.
  27. Siena Coll., Loudonville
  28. Wyoming U.
  29. Portsmouth U., ICG
  30. IRFU, Saclay; LBL, Berkeley
  31. Waterloo U.; Perimeter Inst. Theor. Phys.
  32. IAA, Granada
  33. Barcelona, Polytechnic U.
  34. Sejong U.
  35. Kansas State U.; Ilia State U.
  36. Madrid, CIEMAT
  37. Michigan U.; KEK, Tsukuba; Hiroshima Shudo U.
  38. Ohio U., Athens
  39. KIPAC, Menlo Park; Stanford U., Phys. Dept.; SLAC
  40. Beijing Observ.
+ Show Author Affiliations
Deep spectroscopic samples can be used to improve photometric redshift (photo-$$z$$) estimates and reduce uncertainties on redshift distributions. Such improvements can increase the cosmological constraining power of large imaging-based experiments such as the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) and mitigate what may be a limiting systematic effect. We present results from the ``DESI-Deep pilot'' program, which was designed to assess the capability of the Dark Energy Spectroscopic Instrument (DESI) on the 4m Mayall telescope to measure redshifts of galaxies as faint as expected lensing samples for early LSST data ($$m_i \leq 24.5$$). We find that DESI is remarkably efficient at this task, with redshift success rates comparable to the results of observations from 10m-class telescopes with only $$\sim2\times$$ longer integration time (rather than $$\sim 8\times$$ longer as would be expected from aperture-area scaling), while simultaneously achieving $$\sim30$$ times larger multiplexing. We also find that the signal-to-noise ratio of the spectra scales as expected for background-limited observations even for the longest exposure times ($$\sim 7$$ hours) and faintest targets in the program. These results demonstrate that DESI could provide the definitive redshift sample for the early years of LSST with a modest investment of observing time. Based upon the results of this program, we provide updated predictions for the time required to collect benchmark samples for photo-$$z$$ training and calibration using a variety of spectroscopic facilities. Finally, we describe a potential "DESI-Deep" survey designed to train and calibrate photo-$$z$$'s for imaging experiments, and provide forecasts of its impact on cosmological inference.
Research Organization:
Munich U.; ICE, Bellaterra; Portsmouth U., ICG; Madrid, CIEMAT; SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Milan U.; Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); IRFU, Saclay; Beijing Observ.; Natl. Solar Observ., Tucson; UC, Santa Cruz; LPNHE, Paris; Wyoming U.; Pittsburgh U.; Canadian Inst. Theor. Astrophys.; Toronto U.; Brera Observ.; Lick Observ.; Siena Coll., Loudonville; Paris, Inst. Astrophys.; Barcelona, Autonoma U.; Michigan U.; U. Texas, Dallas; Hiroshima Shudo U.; U. Toronto (main); Chicago U., KICP; UC, Berkeley, Math. Dept.; IAA, Granada; Ilia State U.; Stanford U., Phys. Dept.; Utah U.; KEK, Tsukuba; Perimeter Inst. Theor. Phys.; Ohio State U., Dept. Astron.; Barcelona, Polytechnic U.; Sejong U.; UNAM, Mexico; Barcelona, IFAE; Princeton U.; Ohio U., Athens; Ohio State U.; ICREA, Barcelona; University Coll. London; Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Virginia U.; UC, Irvine; Waterloo U.; Barcelona, IEEC; Boston U.; Munich, Tech. U., Universe; Southern Methodist U.; Kansas State U.
Sponsoring Organization:
US Department of Energy
DOE Contract Number:
89243024CSC000002;
OSTI ID:
3029814
Report Number(s):
FERMILAB-PUB-26-0239-PPD; oai:inspirehep.net:3140853; arXiv:2604.06143
Journal Information:
No journal information, Journal Name: No journal information
Country of Publication:
United States
Language:
English

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