Overview of the SuperNova/Acceleration Probe (SNAP)
G. Aldering, SNAP collaboration
TL;DR
SNAP tackles the problem of precisely characterizing cosmic acceleration by building a dedicated space-based survey of Type Ia supernovae from $z\approx0.1$ to $1.7$. Its approach combines a $2$-m wide-field, three-mirror telescope with a $0.7$ deg$^2$ imager and a low-resolution IFU spectrograph to deliver high-quality light curves and spectra for about $2000$ SNe Ia, while aggressively controlling systematic uncertainties. The paper demonstrates that, with this data, SNAP can constrain $\Omega_M$, $\Omega_\Lambda$, and the dark-energy equation of state $w$ to precisions such as $\sigma_{\Omega_M} \approx 0.02$, $\sigma_{\Omega_\Lambda} \approx 0.05$, and $\sigma_w \approx 0.05$ for a constant $w$, and can probe potential redshift evolution $w(z)$, thus distinguishing a cosmological constant from dynamical dark-energy models. The mission also emphasizes a uniform, complete dataset and complementary measurements (weak lensing, Type II SNe), promising broad scientific utility beyond SN cosmology and advancing empirical cosmology in the era of precision measurements.
Abstract
The SuperNova / Acceleration Probe (SNAP) is a space-based experiment to measure the expansion history of the Universe and study both its dark energy and the dark matter. The experiment is motivated by the startling discovery that the expansion of the Universe is accelerating. A 0.7 square-degree imager comprised of 36 large format fully-depleted n-type CCD's sharing a focal plane with 36 HgCdTe detectors forms the heart of SNAP, allowing discovery and lightcurve measurements simultaneously for many supernovae. The imager and a high-efficiency low-resolution integral field spectrograph are coupled to a 2-m three mirror anastigmat wide-field telescope, which will be placed in a high-earth orbit. The SNAP mission can obtain high-signal-to-noise calibrated light-curves and spectra for over 2000 Type Ia supernovae at redshifts between z=0.1 and 1.7. The resulting data set can not only determine the amount of dark energy with high precision, but test the nature of the dark energy by examining its equation of state. In particular, dark energy due to a cosmological constant can be differentiated from alternatives such as "quintessence", by measuring the dark energy's equation of state to an accuracy of +/-0.05, and by studying its time dependence.
