Narrow Results

In this paper, we revisit our model-independent methods developed for reconstructing properties of Weakly Interacting Massive Particles (WIMPs) by using measured recoil energies from direct Dark Matter detection experiments directly and take into account more realistically non-negligible threshold energy. All expressions for reconstructing the mass and the (ratios between the) spin-independent and the spin-dependent WIMP–nucleon couplings have been modified. We focus on low-mass ($m_{\chi }\lesssim 15$ GeV) WIMPs and present the numerical results obtained by Monte Carlo simulations. Constraints caused by non-negligible threshold energy and technical treatments for improving reconstruction results will also be discussed.

An investigation on oxygen-equilibrium of laser ignition of energetic materials was carried out through experiments. The threshold energy of laser ignition of several systems such as Zr/KClO₄, Ti/KClO₄, and Mg/KClO₄ were measured with different system composition. The results show that the mass ratio of initial mixture powders has a significant effect on the threshold energy of ignition. The threshold energy presents a minimum with increasing mass ratio, which corresponds to an oxygen-rich system composition. That is, an oxygen-rich composition is favorable to laser ignition. The ignition requires lower threshold, or energetic materials have relatively higher laser sensitivity. Also the findings were theoretically analyzed.

In this paper, we investigate the modification of our expressions developed for the model-independent data analysis procedure of the reconstruction of the (time-averaged) one-dimensional velocity distribution of galactic weakly interacting massive particles (WIMPs) with a nonnegligible experimental threshold energy. Our numerical simulations show that, for a minimal reconstructable velocity of as high as km/s, our model-independent modification of the estimator for the normalization constant could provide precise reconstructed velocity distribution points to match the true WIMP velocity distribution with ≲ 10% bias.

Prolonging lifetime of wireless sensor network becomes very essential for mission critical applications where network nodes are required to monitor and report for a longer period of time rather than becoming dead over a very short period or resulting in network partitioning due to energy depletion. In this paper, we present our model based on swarm Intelligence based efficient routing which associates every node with a threshold energy parameter to control the energy conservation and balancing in wireless sensor network. This threshold parameter plays an important role in ensuring that all the nodes in the neighborhood of a node of concern to participate in packet forwarding periodically resulting in optimal energy balancing and excellent energy conservation among all the participating nodes, thereby extending the lifetime of the network. The performance evaluation of our proposed approach for variation of threshold energy of nodes in the network reflecting different types of load or traffic patterns was carried out using NS-2 Simulator. Our simulation results demonstrate that optimal energy balancing and excellent energy conservation among nodes can be achieved by judiciously controlling the threshold energy associated with the nodes to extend the network lifetime.