TY - UNPB
T1 - Spectroscopic Needs for Imaging Dark Energy Experiments
T2 - Photometric Redshift Training and Calibration
AU - "Dark Energy and CMB" working group
AU - Newman, J.
AU - Abate, A.
AU - Abdalla, F.
AU - Allam, S.
AU - Allen, S.
AU - Ansari, R.
AU - Bailey, S.
AU - Barkhouse, W.
AU - Beers, T.
AU - Blanton, M.
AU - Brodwin, M.
AU - Brownstein, J.
AU - Brunner, R.
AU - Carrasco-Kind, M.
AU - Cervantes-Cota, J.
AU - Chisari, E.
AU - Colless, M.
AU - Comparat, J.
AU - Coupon, J.
AU - Cheu, E.
AU - Cunha, C.
AU - Macorra, A. de la
AU - Dell'Antonio, I.
AU - Frye, B.
AU - Gawiser, E.
AU - Gehrels, N.
AU - Grady, K.
AU - Hagen, A.
AU - Hall, P.
AU - Hearin, A.
AU - Hildebrandt, H.
AU - Hirata, C.
AU - Ho, S.
AU - Honscheid, K.
AU - Huterer, D.
AU - Ivezic, Z.
AU - Kneib, J. -P.
AU - Kruk, J.
AU - Lahav, O.
AU - Mandelbaum, R.
AU - Marshall, J.
AU - Matthews, D.
AU - Ménard, B.
AU - Miquel, R.
AU - Moniez, M.
AU - Moos, W.
AU - Moustakas, J.
AU - Papovich, C.
AU - Peacock, J.
AU - Park, C.
N1 - White paper for the "Dark Energy and CMB" working group for the American Physical Society's Division of Particles and Fields long-term planning exercise ("Snowmass")
PY - 2013/9/20
Y1 - 2013/9/20
N2 - Large sets of objects with spectroscopic redshift measurements will be needed for imaging dark energy experiments to achieve their full potential, serving two goals:_training_, i.e., the use of objects with known redshift to develop and optimize photometric redshift algorithms; and_calibration_, i.e., the characterization of moments of redshift (or photo-z error) distributions. Better training makes cosmological constraints from a given experiment stronger, while highly-accurate calibration is needed for photo-z systematics not to dominate errors. In this white paper, we investigate the required scope of spectroscopic datasets which can serve both these purposes for ongoing and next-generation dark energy experiments, as well as the time required to obtain such data with instruments available in the next decade. Large time allocations on kilo-object spectrographs will be necessary, ideally augmented by infrared spectroscopy from space. Alternatively, precision calibrations could be obtained by measuring cross-correlation statistics using samples of bright objects from a large baryon acoustic oscillation experiment such as DESI. We also summarize the additional work on photometric redshift methods needed to prepare for ongoing and future dark energy experiments.
AB - Large sets of objects with spectroscopic redshift measurements will be needed for imaging dark energy experiments to achieve their full potential, serving two goals:_training_, i.e., the use of objects with known redshift to develop and optimize photometric redshift algorithms; and_calibration_, i.e., the characterization of moments of redshift (or photo-z error) distributions. Better training makes cosmological constraints from a given experiment stronger, while highly-accurate calibration is needed for photo-z systematics not to dominate errors. In this white paper, we investigate the required scope of spectroscopic datasets which can serve both these purposes for ongoing and next-generation dark energy experiments, as well as the time required to obtain such data with instruments available in the next decade. Large time allocations on kilo-object spectrographs will be necessary, ideally augmented by infrared spectroscopy from space. Alternatively, precision calibrations could be obtained by measuring cross-correlation statistics using samples of bright objects from a large baryon acoustic oscillation experiment such as DESI. We also summarize the additional work on photometric redshift methods needed to prepare for ongoing and future dark energy experiments.
KW - astro-ph.CO
U2 - 10.48550/arXiv.1309.5384
DO - 10.48550/arXiv.1309.5384
M3 - Preprint
SP - 1
EP - 35
BT - Spectroscopic Needs for Imaging Dark Energy Experiments
PB - arXiv
ER -