2011/02/09 by Alex Kim, Alex G. Kim, Eric V. Linder · 9 citations
Engineering · Physics and Astronomy · #Astronomy #Astrophysics #CCD and CMOS Imaging Sensors #COSMIC cancer database #Cosmology #Dark energy #Dark matter #Figure of merit #Galaxies: Formation, Evolution, Phenomena #Galaxy #Gamma-ray bursts and supernovae #Optics #Physics #Redshift #Supernova #astro-ph.CO
paper · pdf · doi:10.1088/1475-7516/2011/06/020
published in Journal of Cosmology and Astroparticle Physics 2011(06), 020 (Institute of Physics) · 8 pages, 5 figures
arxiv created 2011/02/09 · openalex publication_date 2011/06/17 · arxiv updated 2011/07/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Supernova distances provide a direct probe of cosmic acceleration, constraining dark energy. This leverage increases with survey redshift depth at a rate bounded by the systematic uncertainties. We investigate the impact of a wavelength-dependent, global correlation model of systematics in comparison to the standard local-redshift correlation model. This can arise from subclass uncertainties as features in the supernova spectrum redshift out of the observer photometric filters or spectral range. We explore the impact of such a systematic on ground-based supernova surveys such as Dark Energy Survey and LSST, finding distinctive implications. Extending the wavelength sensitivity to 1.05 μm through ``extreme red'' CCDs can improve the dark energy figure of merit by up to a factor 2.