NC Data - Nuclear Collision Data for nucleon-nucleus collisions in the energy range 25 to 400 MeV

FORTRAN computer program for cross sections, and particle emission analysis in nucleon-nucleus collision

Analytic representation of nucleon and pion-emission spectra from nucleon-nucleus collisions in the energy range 750-2000 MeV

Analytical representation of nucleon and pion emission spectra from nucleon-nucleus collisions in energy range 750-2000 Me

Pulsed energy power system Patent

Pulsed energy power system for application of combustible gases to turbine controlling ac voltage generato

Numerical solutions of the one-dimensional nucleon-meson cascade equations

Numerical integration of meson-nucleon cascade equations for accelerator shielding calculation

Analytic representation of nonelastic cross sections and particle-emission spectra from nucleon-nucleus collisions in the energy range 25 to 400 MeV

Analytic representation of nonelastic cross sections and particle emission spectra from nucleon-nucleus collisions in 25 to 400MeV energy rang

An information-bearing seed for nucleating algorithmic self-assembly

Self-assembly creates natural mineral, chemical, and biological structures of great complexity. Often, the same starting materials have the potential to form an infinite variety of distinct structures; information in a seed molecule can determine which form is grown as well as where and when. These phenomena can be exploited to program the growth of complex supramolecular structures, as demonstrated by the algorithmic self-assembly of DNA tiles. However, the lack of effective seeds has limited the reliability and yield of algorithmic crystals. Here, we present a programmable DNA origami seed that can display up to 32 distinct binding sites and demonstrate the use of seeds to nucleate three types of algorithmic crystals. In the simplest case, the starting materials are a set of tiles that can form crystalline ribbons of any width; the seed directs assembly of a chosen width with >90% yield. Increased structural diversity is obtained by using tiles that copy a binary string from layer to layer; the seed specifies the initial string and triggers growth under near-optimal conditions where the bit copying error rate is 17 kb of sequence information. In sum, this work demonstrates how DNA origami seeds enable the easy, high-yield, low-error-rate growth of algorithmic crystals as a route toward programmable bottom-up fabrication

Low-energy electron transport with the method of discrete ordinates

The one-dimensional discrete ordinates code ANISN was adapted to transport low energy (a few MeV) electrons. Calculated results obtained with ANISN were compared with experimental data for transmitted electron energy and angular distribution data for electrons normally incident on aluminum slabs of various thicknesses. The calculated and experimental results are in good agreement for a thin slab (0.2 of the electron range), but not for the thicker slabs (0.6 of the electron range). Calculated results obtained with ANISN were also compared with results obtained using Monte Carlo methods

Optimal Strategies for Sinusoidal Signal Detection

We derive and study optimal and nearly-optimal strategies for the detection of sinusoidal signals hidden in additive (Gaussian and non-Gaussian) noise. Such strategies are an essential part of algorithms for the detection of the gravitational Continuous Wave (CW) signals produced by pulsars. Optimal strategies are derived for the case where the signal phase is not known and the product of the signal frequency and the observation time is non-integral.Comment: 18 pages, REVTEX4, 7 figures, 2 table