- Howell, DA;
- Conley, A;
- Valle, M Della;
- Nugent, PE;
- Perlmutter, S;
- Marion, GH;
- Krisciunas, K;
- Badenes, C;
- Mazzali, P;
- Aldering, G;
- Antilogus, P;
- Baron, E;
- Becker, A;
- Baltay, C;
- Benetti, S;
- Blondin, S;
- Branch, D;
- Brown, EF;
- Deustua, S;
- Ealet, A;
- Ellis, RS;
- Fouchez, D;
- Freedman, W;
- Gal-Yam, A;
- Jha, S;
- Kasen, D;
- Kessler, R;
- Kim, AG;
- Leonard, DC;
- Li, W;
- Livio, M;
- Maoz, D;
- Mannucci, F;
- Matheson, T;
- Neill, JD;
- Nomoto, K;
- Panagia, N;
- Perrett, K;
- Phillips, M;
- Poznanski, D;
- Quimby, R;
- Rest, A;
- Riess, A;
- Sako, M;
- Soderberg, AM;
- Strolger, L;
- Thomas, R;
- Turatto, M;
- Dyk, S van;
- Wood-Vasey, WM
In the next decade Type Ia supernovae (SNe Ia) will be used to test theories
predicting changes in the Dark Energy equation of state with time. Ultimately
this requires a dedicated space mission like JDEM. SNe Ia are mature
cosmological probes --- their limitations are well characterized, and a path to
improvement is clear. Dominant systematic errors include photometric
calibration, selection effects, reddening, and population-dependent
differences. Building on past lessons, well-controlled new surveys are poised
to make strides in these areas: the Palomar Transient Factory, Skymapper, La
Silla QUEST, Pan-STARRS, the Dark Energy Survey, LSST, and JDEM. They will
obviate historical calibrations and selection biases, and allow comparisons via
large subsamples. Some systematics follow from our ignorance of SN Ia
progenitors, which there is hope of determining with SN Ia rate studies from
0