970 research outputs found

    Fast-ignition design transport studies: realistic electron source, integrated PIC-hydrodynamics, imposed magnetic fields

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    Transport modeling of idealized, cone-guided fast ignition targets indicates the severe challenge posed by fast-electron source divergence. The hybrid particle-in-cell [PIC] code Zuma is run in tandem with the radiation-hydrodynamics code Hydra to model fast-electron propagation, fuel heating, and thermonuclear burn. The fast electron source is based on a 3D explicit-PIC laser-plasma simulation with the PSC code. This shows a quasi two-temperature energy spectrum, and a divergent angle spectrum (average velocity-space polar angle of 52 degrees). Transport simulations with the PIC-based divergence do not ignite for > 1 MJ of fast-electron energy, for a modest 70 micron standoff distance from fast-electron injection to the dense fuel. However, artificially collimating the source gives an ignition energy of 132 kJ. To mitigate the divergence, we consider imposed axial magnetic fields. Uniform fields ~50 MG are sufficient to recover the artificially collimated ignition energy. Experiments at the Omega laser facility have generated fields of this magnitude by imploding a capsule in seed fields of 50-100 kG. Such imploded fields are however more compressed in the transport region than in the laser absorption region. When fast electrons encounter increasing field strength, magnetic mirroring can reflect a substantial fraction of them and reduce coupling to the fuel. A hollow magnetic pipe, which peaks at a finite radius, is presented as one field configuration which circumvents mirroring.Comment: 16 pages, 17 figures, submitted to Phys. Plasma

    A Probabilistic Study Of Safety Criteria For Design

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    National Science Foundation Under Grant GK-1812

    A framework for testing isotropy with the cosmic microwave background

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    We present a new framework for testing the isotropy of the Universe using cosmic microwave background data, building on the nested-sampling ANICOSMO code. Uniquely, we are able to constrain the scalar, vector and tensor degrees of freedom alike; previous studies only considered the vector mode (linked to vorticity). We employ Bianchi type VIIh_h cosmologies to model the anisotropic Universe, from which other types may be obtained by taking suitable limits. In a separate development, we improve the statistical analysis by including the effect of Bianchi power in the high-ℓ\ell, as well as the low-ℓ\ell, likelihood. To understand the effect of all these changes, we apply our new techniques to WMAP data. We find no evidence for anisotropy, constraining shear in the vector mode to (σV/H)0<1.7×10−10(\sigma_V/H)_0 < 1.7 \times 10^{-10} (95% CL). For the first time, we place limits on the tensor mode; unlike other modes, the tensor shear can grow from a near-isotropic early Universe. The limit on this type of shear is (σT,reg/H)0<2.4×10−7(\sigma_{T,\rm reg}/H)_0 < 2.4 \times 10^{-7} (95% CL).Comment: 11 pages, 6 figures, v3: minor modifications to match version accepted by MNRA

    Mechanical properties of concrete using recycled aggregates obtained from old paving stones

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    Nowadays, construction, maintenance, reparation, rehabilitation, retrofitting, and demolition from infrastructure and buildings generate large amounts of urban waste, which usually are inadequately disposed due to high costs and technical limitations. On the other hand, the increasing demand for natural aggregates for concrete production seriously affects mountains and rivers as they are the source of these nonrenewable goods. Consequently, the recycling of aggregates for concrete is gaining attention worldwide as an alternative to reduce the environmental impacts caused by the extraction of nonrenewable goods and disposal of construction and demolition waste (C&DW). Therefore, this article describes the effect on the mechanical properties of new concrete using recycled aggregates obtained from old paving stones. Results show that replacing 50% by weight of the fine and coarse aggregate fractions in concrete with recycled aggregate does not meaningfully affect its mechanical behavior, making the use of recycled aggregates in new precast paving stones possible. Therefore, the latter can reduce environmental impacts and costs for developing infrastructure and building projects

    High Quality Test Generation Targeting Power Supply Noise

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    Delay test is an essential structural manufacturing test used to determine the maximal frequency at which a chip can run without incurring any functional failures. The central unsolved challenge is achieving high delay correlation with the functional test, which is dominated by power supply noise (PSN). Differences in PSN between functional and structural tests can lead to differences in chip operating frequencies of 30% or more. Pseudo functional test (PFT), based on a multiple-cycle clocking scheme, has better PSN correlation with functional test compared with traditional two-cycle at-speed test. However, PFT is vulnerable to under-testing when applied to delay test. This work aims to generate high quality PFT patterns, achieving high PSN correlation with functional test. First, a simulation-based don’t-care filling algorithm, Bit-Flip, is proposed to improve the PSN for PFT. It relies on randomly flipping a group of bits in the test pattern to explore the search space and find patterns that stress the circuits with the worst-case, but close to functional PSN. Experimental results on un-compacted patterns show Bit-Flip is able to improve PSN as much as 38.7% compared with the best random fill. Second, techniques are developed to improve the efficiency of Bit-Flip. A set of partial patterns, which sensitize transitions on critical cells, are pre-computed and later used to guide the selection of bits to flip. Combining random and deterministic flipping, we achieve similar PSN control as Bit-Flip but with much less simulation time. Third, we address the problem of automatic test pattern generation for extracting circuit timing sensitivity to power supply noise during post-silicon validation. A layout-aware path selection algorithm selects long paths to fully span the power delivery network. The selected patterns are intelligently filled to bring the PSN to a desired level. These patterns can be used to understand timing sensitivity in post-silicon validation by repeatedly applying the path delay test while sweeping the PSN experienced by the path from low to high. Finally, the impacts of compression on power supply noise control are studied. Illinois Scan and embedded deterministic test (EDT) patterns are generated. Then Bit-Flip is extended to incorporate the compression constraints and applied to compressible patterns. The experimental results show that EDT lowers the maximal PSN by 24.15% and Illinois Scan lowers it by 2.77% on un-compacted patterns

    Heterogeneous Class Size Effects: New Evidence from a Panel of University Students

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    Over the last decade, many countries have experienced dramatic increases in university enrolment, which, when not matched by compensating increases in other inputs, have resulted in larger class sizes. Using administrative records from a leading UK university, we present evidence on the effects of class size on students’ test scores. We observe the same student and faculty members being exposed to a wide range of class sizes from less than 10 to over 200. We therefore estimate non-linear class size effects controlling for unobserved heterogeneity of both individual students and faculty. We find that (i) at the average class size, the effect size is -0.108; (ii) the effect size is however negative and significant only for the smallest and largest ranges of class sizes and zero over a wide range of intermediate class sizes; (iii) students at the top of the test score distribution are more affected by changes in class size, especially when class sizes are very large. We present evidence to rule out class size effects being due solely to the non-random assignment of faculty to class size, sorting by students onto courses on the basis of class size, omitted inputs, the difficulty of courses, or grading policies. The evidence also shows the class size effects are not mitigated for students with greater knowledge of the UK university system, this university in particular, or with greater family wealth.class size, heterogeneity, university education

    Trends and Cycles in Australian State and Territory Unemployment Rates.

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    This paper has as its subject matter the behaviour of state unemployment rates over time. Arguments are presented which suggest that the common approach which entails regressing state or regional rate of unemployment on the national rate is not likely to yield much useful knowledge. As a positive contribution to the literature, this paper focuses on two things: first, the behaviour over time in the dispersion of state unemployment rates and their relationship with the business cycle and; second, tests for the presence of common trends and/or common cycles in the state unemployment rates. The results suggest that there is a case which can be made for regional policy in Australia.REGIONAL DEVELOPMENT ; UNEMPLOYMENT ; BUSINESS CYCLES

    Multiple representations in calorimetry

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    The purpose of this study is to explore the use of multiple representational modes as a tool for understanding the concepts of temperature and energy transfer in calorimetry. The focus is placed on which type of representation promotes students\u27 understanding of these concepts, and which representation(s) facilitates translations to other types. This study considers verbal, mathematical, and graphical representations. The statistical analysis of a problem set completed by 111 a freshmen college chemistry students and a semi structured interview on one-to-one basis to 23 students, is used to diagnose students\u27 understanding of calorimetry and the use of representations. Based on these results a model for conceptual understanding is proposed

    Use of Lidar Data to Investigate the Influence of Bottom Friction Coefficients for Storm Surge Modeling of Hurricane Michael in the Florida Panhandle

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    Current storm surge modeling typically uses local land use land cover (LULC) maps coupled with lookup tables to parameterize surface roughness because the process is defensible and easily automated at the regional scale. However, this is not a truly accurate method since LULC data is generalized for an area and often contains misclassifications. Intra-class variability is also a concern as variations in obstacle density within LULC classifications are prominent at typical storm surge model resolution scales ranging from 20-meters to 200-meters in the floodplain. Using lidar data, topography and the 3-dimensional structure of above-ground obstructions can be more accurately characterized, which we hypothesize will result in more realistic storm surge behavior in the floodplain. The analysis focused on the landfall area of Hurricane Michael (2018), specifically the coastal region of the Florida Panhandle and Gulf of Mexico in Bay and Gulf County. Lidar data collected in 2017 by the Northwest Florida Water Management District, were processed using ArcGIS, Python, LAStools, and a random forest model to calculate spatially variable Manning’s roughness coefficients (n). This is the first time the process has been applied at the multi-county scale. Using the numerical hydrodynamic modeling code ADCIRC, an unstructured finite element mesh (NGOM-RT) was used to simulate storm surge using both the lidar based Manning’s n and a comparative LULC-based Manning’s n. Once modeled, the values were compared and determined to be statistically different, with the floodplain velocities showing a larger degree of difference than maximum water surface elevations. The results indicate that realistic and descriptive bottom friction parameterization is an influential component of simulated storm surge behavior in the floodplain and should be investigated further. (This material is based upon work supported by the U.S. Department of Homeland Security under Grant Award Number 2015-ST-061-ND0001-01. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of the U.S. Department of Homeland Security.)
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