skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Wide-field Multi-object Spectroscopy to Enhance Dark Energy Science from LSST

Journal Article · · Bulletin of the American Astronomical Society
OSTI ID:1582353
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [1];  [9];  [1];  [5];  [5];  [10];  [11];  [12]
  1. Carnegie Mellon Univ., Pittsburgh, PA (United States)
  2. Swiss National Science Foundation (SNSF), Bern (Switzerland); Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne (Switzerland); California Consortium of Addiction Programs and Professionals (CCAPP), Sacramento, CA (United States); Ohio State Univ., Columbus, OH (United States)
  3. Univ. of Oxford (United Kingdom)
  4. Univ. of Portsmouth (United Kingdom)
  5. Univ. of Pittsburgh, PA (United States)
  6. Rutgers Univ., New Brunswick, NJ (United States)
  7. Univ. of Toronto, ON (Canada)
  8. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  9. African Inst. for Mathematical Sciences, Cape Town (South Africa); South African Radio Astronomy Observatory, Cape Town (South Africa)
  10. Univ. of California, Davis, CA (United States)
  11. Univ. of California, Berkeley, CA (United States)
  12. Univ. of Southampton (United Kingdom)

LSST will open new vistas for cosmology in the next decade, but it cannot reach its full potential without data from other telescopes. Cosmological constraints can be greatly enhanced using wide-field ($>20$ deg$^2$ total survey area), highly-multiplexed optical and near-infrared multi-object spectroscopy (MOS) on 4-15m telescopes. This could come in the form of suitably-designed large surveys and/or community access to add new targets to existing projects. First, photometric redshifts can be calibrated with high precision using cross-correlations of photometric samples against spectroscopic samples at $0 < z < 3$ that span thousands of sq. deg. Cross-correlations of faint LSST objects and lensing maps with these spectroscopic samples can also improve weak lensing cosmology by constraining intrinsic alignment systematics, and will also provide new tests of modified gravity theories. Large samples of LSST strong lens systems and supernovae can be studied most efficiently by piggybacking on spectroscopic surveys covering as much of the LSST extragalactic footprint as possible (up to $$\sim20,000$$ square degrees). Finally, redshifts can be measured efficiently for a high fraction of the supernovae in the LSST Deep Drilling Fields (DDFs) by targeting their hosts with wide-field spectrographs. Targeting distant galaxies, supernovae, and strong lens systems over wide areas in extended surveys with (e.g.) DESI or MSE in the northern portion of the LSST footprint or 4MOST in the south could realize many of these gains; DESI, 4MOST, Subaru/PFS, or MSE would all be well-suited for DDF surveys. The most efficient solution would be a new wide-field, highly-multiplexed spectroscopic instrument in the southern hemisphere with $>6$m aperture. In two companion white papers we present gains from deep, small-area MOS and from single-target imaging and spectroscopy.

Research Organization:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Contributing Organization:
LSST Dark Energy Science Collaboration
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1582353
Journal Information:
Bulletin of the American Astronomical Society, Vol. 51, Issue 3; ISSN 0002-7537
Publisher:
American Astronomical SocietyCopyright Statement
Country of Publication:
United States
Language:
English

Similar Records

Spectroscopic Needs for Imaging Dark Energy Experiments
Journal Article · Sun Mar 15 00:00:00 EDT 2015 · Astroparticle Physics · OSTI ID:1582353

Deep Multi-object Spectroscopy to Enhance Dark Energy Science from LSST
Journal Article · Tue Nov 12 00:00:00 EST 2019 · arXiv.org Repository · OSTI ID:1582353

Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Wide-Fast-Deep Survey
Journal Article · Fri Dec 14 00:00:00 EST 2018 · arXiv.org Repository · OSTI ID:1582353