Olefins and methods for making the same
Provided herein are olefinic feedstocks derived from conjugated hydrocarbon terpenes (e.g., C 10 -C 50 terpenes), methods for making the same, and methods for their use.
Ohler, Nicholas↗
Engineering topics
Fisher, Karl
Publications and source records attributed to Fisher, Karl.
The Near Earth Object Scout Spacecraft: A Low-Cost Approach to In-Situ Characterization of the NEO Population
No abstract available
Woeppel, Eric A.↗
Formation of Structure in the Universe
This grant supported research by the investigators through summer salary support for Strauss and Weinberg, support for graduate students at Princeton University and Ohio State University, and travel, visitor, and publication support for the investigators. The grant originally had a duration of 1 year, and it was extended (without additional funding) for an additional year. The impact of the grant was considerable given its relatively modest duration and funding level, in part because it provided 'seed' funding to get Strauss and Weinberg started at new institutions, and in part because it was combined with support from subsequent grants. Here we summarize progress in the three general areas described in the grant proposal: Lyman alpha absorbers and the intergalactic medium, galaxy formation; and large scale structure.
Bahcall, John↗
A redshift survey of IRAS galaxies. V - The acceleration on the Local Group
The acceleration on the Local Group is calculated based on a full-sky redshift survey of 5288 galaxies detected by IRAS. A formalism is developed to compute the distribution function of the IRAS acceleration for a given power spectrum of initial perturbations. The computed acceleration on the Local Group points 18-28 deg from the direction of the Local Group peculiar velocity vector. The data suggest that the CMB dipole is indeed due to the motion of the Local Group, that this motion is gravitationally induced, and that the distribution of IRAS galaxies on large scales is related to that of dark matter by a simple linear biasing model.
Strauss, Michael A.↗