Neutron star spin–kick velocity correlation effect on binary neutron star coalescence rates and spin–orbit misalignment of the components

We study the effect of the neutron star spin–kick velocity alignment observed in young radio pulsars on the coalescence rate of binary neutron stars. Two scenarios are considered for neutron star formation: when the kick is always present, and when it is small or absent if a neutron star is formed in a binary system as a result of electron-capture degenerate core collapse. The effect is shown to be especially strong for large kick amplitudes and tight alignments, reducing the expected galactic rate of binary neutron star coalescence compared to calculations with randomly directed kicks. The spin–kick correlation also leads to a much narrower neutron star spin–orbit misalignment.     

Lensing, reddening and extinction effects of Mg ii absorbers from z= 0.4 to 2

Using a sample of almost 7000 strong Mg  ii absorbers with   W ₀ > 1 Å  and  0.4 < z < 2.2  detected in the SDSS DR4 data set, we investigate the gravitational lensing and dust extinction effects they induce on background quasars. After carefully quantifying several selection biases, we isolate the reddening effects as a function of redshift and absorber rest equivalent width, W ₀. We find the amount of dust to increase with cosmic time as  τ( z ) ∝ (1 + z )^−1.1±0.4  , following the evolution of cosmic star density or integrated star formation rate. We measure the reddening effects over a factor of 30 in E ( B − V ) and we find that  τ∝ ( W ₀)^1.9±0.1  , providing us with an important scaling for theoretical modelling of metal absorbers. We also measure the dust-to-metal ratio and find it similar to that of the Milky Way. In contrast to previous studies, we do not detect any gravitational magnification by Mg  ii systems. We measure the upper limit  μ < 1.10  and discuss the origin of the discrepancy. Finally, we estimate the fraction of absorbers missed due to extinction effects and show that it rises from 1 to 50 per cent in the range  1 < W ₀ < 6 Å  . We parametrize this effect and provide a correction for recovering the intrinsic  ∂ N /∂ W ₀  distribution.     

CMB temperature polarization correlation and primordial gravitational waves

We examine the use of the TE cross-correlation power spectrum of the cosmic microwave background (CMB) as a complementary test to detect primordial gravitational waves (PGWs). The first method used is based on the determination of the lowest multipole, ℓ₀, where the TE power spectrum,   C ^TE_ℓ  , first changes sign. The second method uses Wiener filtering on the CMB TE data to remove the density perturbations contribution to the TE power spectrum. In principle this leaves only the contribution of PGWs. We examine two toy experiments (one ideal and another more realistic) to see their ability to constrain PGWs using the TE power spectrum alone. We found that an ideal experiment, one limited only by cosmic variance, can detect PGWs with a ratio of tensor to scalar metric perturbation power spectra   r = 0.3  at 99.9 per cent confidence level using only the TE correlation. This value is comparable with current constraints obtained by the Wilkinson Microwave Anisotropy Probe based on the 2σ upper limits to the B-mode amplitude. We demonstrate that to measure PGWs by their contribution to the TE cross-correlation power spectrum in a realistic ground-based experiment when real instrumental noise is taken into account, the tensor-to-scalar ratio, r , should be approximately three times larger.     

基于引力搜索法的隧道围岩微震定位研究

针对目前深埋隧道围岩微震源定位难且精度不高等问题,采用启发式算法——引力搜索法（GSA）对隧道围岩微震源位置进行搜索,并将该算法与粒子群算法和单纯形法的搜索结果进行对比。发现在双速度模型和三速度模型下,引力搜索法相较于粒子群算法和单纯形法,都具有快速收敛、精度较高的优点,且与震源位置的距离能够控制在10 m以内。对双速度模型,引力搜索法的精度相对于单纯形法提高了83.71%,相对于粒子群算法提高了7.77%。对三速度模型,引力搜索法的精度相对于单纯形法提高了70.67%,相对于粒子群算法提高了39.36%。可见,该方法为深埋隧道微围岩震源定位提供了一种新思路。     

地下目标体重力张量数据的边界识别与增强算法的研究

边界增强与识别在重力数据处理中占据重要地位,与传统重力异常数据相比,重力张量及其高阶分量对于直接反映异常体的边界具有更高的精度。当异常数据中的所有网格点的值均较低时,通过Sigmoid变换,可以实现高异常值网格数据的拉升,同时压缩低灰度级像素,从而凸显地质体边界,提高边界增强后图像的识别效果。文中利用张量及其分量构建常用的边界识别算法,通过组合体模型进行多种边界识别算法的试算,以比较分析各自的效果,并对结果进行Sigmoid变换。结果表明:对于张量高阶分量组合形式,水平梯度模、解析信号能基本反映浅异常体的边界,gzz水平梯度模能较好反映浅异常体边界,但三者均不能识别深异常体边界;Tilt梯度、Theta和ITA3效果不理想;ITA2能在有效均衡不同强度异常信号的同时,清晰地识别不同深度异常体的边界;采用Sigmoid变换,可以明显提高边界识别的识别效果。