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1,450 records · Page 81

Toward IMRT 2D dose modeling using artificial neural networks: A feasibility study

Purpose: To investigate the feasibility of artificial neural networks (ANN) to reconstruct dose maps for intensity modulated radiation treatment (IMRT) fields compared with those of the treatment planning system (TPS). Methods: An artificial feed forward neural network and the back-propagation learning algorithm have been used to replicate dose calculations of IMRT fields obtained from PINNACLE{sup 3} v9.0. The ANN was trained with fluence and dose maps of IMRT fields for 6 MV x-rays, which were obtained from the amorphous silicon (a-Si) electronic portal imaging device of Novalis TX. Those fluence distributions were imported to the TPS and the dose maps were calculated on the horizontal midpoint plane of a water equivalent homogeneous cylindrical virtual phantom. Each exported 2D dose distribution from the TPS was classified into two clusters of high and low dose regions, respectively, based on the K-means algorithm and the Euclidian metric in the fluence-dose domain. The data of each cluster were divided into two sets for the training and validation phase of the ANN, respectively. After the completion of the ANN training phase, 2D dose maps were reconstructed by the ANN and isodose distributions were created. The dose maps reconstructed by ANN were evaluated and compared with the TPS, where the mean absolute deviation of the dose and the {gamma}-index were used. Results: A good agreement between the doses calculated from the TPS and the trained ANN was achieved. In particular, an average relative dosimetric difference of 4.6% and an average {gamma}-index passing rate of 93% were obtained for low dose regions, and a dosimetric difference of 2.3% and an average {gamma}-index passing rate of 97% for high dose region. Conclusions: An artificial neural network has been developed to convert fluence maps to corresponding dose maps. The feasibility and potential of an artificial neural network to replicate complex convolution kernels in the TPS for IMRT dose calculations have been demonstrated.

61 RADIATION PROTECTION AND DOSIMETRY↗

File Specification for GEOS-5 FP (Forward Processing)

The GEOS-5 FP Atmospheric Data Assimilation System (GEOS-5 ADAS) uses an analysis developed jointly with NOAA's National Centers for Environmental Prediction (NCEP), which allows the Global Modeling and Assimilation Office (GMAO) to take advantage of the developments at NCEP and the Joint Center for Satellite Data Assimilation (JCSDA). The GEOS-5 AGCM uses the finite-volume dynamics (Lin, 2004) integrated with various physics packages (e.g, Bacmeister et al., 2006), under the Earth System Modeling Framework (ESMF) including the Catchment Land Surface Model (CLSM) (e.g., Koster et al., 2000). The GSI analysis is a three-dimensional variational (3DVar) analysis applied in grid-point space to facilitate the implementation of anisotropic, inhomogeneous covariances (e.g., Wu et al., 2002; Derber et al., 2003). The GSI implementation for GEOS-5 FP incorporates a set of recursive filters that produce approximately Gaussian smoothing kernels and isotropic correlation functions. The GEOS-5 ADAS is documented in Rienecker et al. (2008). More recent updates to the model are presented in Molod et al. (2011). The GEOS-5 system actively assimilates roughly 2 × 10(exp 6) observations for each analysis, including about 7.5 × 10(exp 5) AIRS radiance data. The input stream is roughly twice this volume, but because of the large volume, the data are thinned commensurate with the analysis grid to reduce the computational burden. Data are also rejected from the analysis through quality control procedures designed to detect, for example, the presence of cloud. To minimize the spurious periodic perturbations of the analysis, GEOS-5 FP uses the Incremental Analysis Update (IAU) technique developed by Bloom et al. (1996). More details of this procedure are given in Appendix A. The assimilation is performed at a horizontal resolution of 0.3125-degree longitude by 0.25- degree latitude and at 72 levels, extending to 0.01 hPa. All products are generated at the native resolution of the horizontal grid. The majority of data products are time-averaged, but four instantaneous products are also available. Hourly data intervals are used for two-dimensional products, while 3-hourly intervals are used for three-dimensional products. These may be on the model's native 72-layer vertical grid or at 42 pressure surfaces extending to 0.1 hPa. This document describes the gridded output files produced by the GMAO near real-time operational FP, using the most recent version of the GEOS-5 assimilation system. Additional details about variables listed in this file specification can be found in a separate document, the GEOS-5 File Specification Variable Definition Glossary. Documentation about the current access methods for products described in this document can be found on the GMAO products page: http://gmao.gsfc.nasa.gov/products/.

GSI↗

On the large eddy simulation of turbulent flows in complex geometry

Application of the method of Large Eddy Simulation (LES) to a turbulent flow consists of three separate steps. First, a filtering operation is performed on the Navier-Stokes equations to remove the small spatial scales. The resulting equations that describe the space time evolution of the 'large eddies' contain the subgrid-scale (sgs) stress tensor that describes the effect of the unresolved small scales on the resolved scales. The second step is the replacement of the sgs stress tensor by some expression involving the large scales - this is the problem of 'subgrid-scale modeling'. The final step is the numerical simulation of the resulting 'closed' equations for the large scale fields on a grid small enough to resolve the smallest of the large eddies, but still much larger than the fine scale structures at the Kolmogorov length. In dividing a turbulent flow field into 'large' and 'small' eddies, one presumes that a cut-off length delta can be sensibly chosen such that all fluctuations on a scale larger than delta are 'large eddies' and the remainder constitute the 'small scale' fluctuations. Typically, delta would be a length scale characterizing the smallest structures of interest in the flow. In an inhomogeneous flow, the 'sensible choice' for delta may vary significantly over the flow domain. For example, in a wall bounded turbulent flow, most statistical averages of interest vary much more rapidly with position near the wall than far away from it. Further, there are dynamically important organized structures near the wall on a scale much smaller than the boundary layer thickness. Therefore, the minimum size of eddies that need to be resolved is smaller near the wall. In general, for the LES of inhomogeneous flows, the width of the filtering kernel delta must be considered to be a function of position. If a filtering operation with a nonuniform filter width is performed on the Navier-Stokes equations, one does not in general get the standard large eddy equations. The complication is caused by the fact that a filtering operation with a nonuniform filter width in general does not commute with the operation of differentiation. This is one of the issues that we have looked at in detail as it is basic to any attempt at applying LES to complex geometry flows. Our principal findings are summarized.

Ghosal, Sandip↗

PIE on Five Irradiated AGR-1 Compacts

Post-irradiation examination (PIE) is in progress on coated particle fuel compacts from the first Advanced Gas Reactor irradiation experiment (AGR-1). PIE has been completed on five compacts at the Oak Ridge National Laboratory (ORNL). Three compacts (Compacts 6-1-1, 4-4-2, and 5-2-3) were examined in the as-irradiated condition and two compacts (Compacts 6-4-3 and 3-3-2) were subjected to safety testing at 1600°C, followed by post-safety testing examination similar to the PIE performed on the as-irradiated compacts. All compacts were subjected to a standard set of analyses that included the following: (1) detection of exposed fission products by Deconsolidation-Leach-Burn-Leach (DLBL), (2) measurement of gamma-emitting fission product inventory using the Irradiated Microsphere Gamma Analyzer (IMGA), and (3) microstructural examination by x-ray tomography and materialography. The equipment and methods used are reported in detail in ORNL/TM-2012/233, AGR-1 Irradiated Compact 6-1-1 PIE Report, and have been summarized in the next section of this report. This report also provides a brief summary of the results of the completed PIE. Preliminary trends are discussed in this report, but final conclusions will require the support of additional data and further analysis. A separate report is being generated for each AGR-1 compact after PIE is complete that describes in detail the examinations performed and fully documents the data obtained. A final AGR-1 PIE summary report will compile all available data and provide a more comprehensive analysis of the AGR-1 fuel performance. In general, it was observed that the tristructural isotropic (TRISO) coated particles remained intact during irradiation and subsequent safety testing to 1600°C. No significant gaseous 85 Kr release was detected during the irradiation or high temperature safety testing, which would be indicative of simultaneous failure of all three outer layers of the TRISO coating. Only three particles with defective SiC layers were detected in the five compacts included in this summary. These particles were detected because they released a significant fraction of their cesium inventory, which was generally well retained. Two particles from Compact 5-2-3 released cesium during irradiation and one particle from Compact 3-3-2 released cesium during safety testing. However, it is evident that some fission products were released through intact SiC during irradiation. Most of these fission products were trapped in the compact matrix, where they could be analyzed by PIE. In terms of fractional release, the main fission products detected outside intact SiC were silver, palladium, and europium. The main impact of irradiation on the microstructure of the TRISO-coating layers was densification and shrinkage of the buffer layer, which often led to buffer fracture and subsequent enhanced swelling of the kernel. Some inner pyrocarbon (IPyC) layers were cracked by the radiation-induced changes in the buffer layer, and on rare occasion these cracks propagated into the SiC. In the two particles that released cesium during irradiation, these SiC cracks penetrated through the entire layer. The particle from Compact 3-3-2 that released cesium was not directly related to irradiation damage. Its SiC layer was determined to be porous as a result of a fabrication defect that occurs when a particle is over-fluidized in the coater, causing it to pick up carbon soot on the surface of the IPyC prior to SiC deposition. This porous SiC layer remained sufficiently intact during irradiation to retain cesium, but finally cracked during high temperature testing. Analysis of fission products remaining in the coated particles showed that the retention of silver varied dramatically from particle-to-particle within each compact. Examination with the IMGA determined that some particles contained a level of 110m Ag equivalent to that calculated to have been generated over the three-year irradiation period, while other particles contained too little to be detected by the gamma analysis. The mechanism for silver release is still being investigated. Attempts to correlate the varied release behavior to obvious radiation-induced changes in the coating layers have not been successful. Scanning electron microscopy (SEM) has provided some evidence that particles with higher silver release also show greater penetration of palladium silicide into the SiC layer, and this should be studied further.

11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS↗

Sandia Cloud Forensics and Incident Response Platform v 1.0

As systems and devices become virtualized and deployed in the cloud, the hypervisor becomes an increasingly appropriate place to collect performance data, system state, system landscape, function calls, transaction traces, and other characteristics. We developed a method by which an introspection application may be coupled with a hypervisor to “reach into” the VM with minimal intrusiveness to collect data critical to the reconstruction of events, files, and operations. Such a capability is required to take advantage of the hypervisor as an instrumentation platform and to integrate that data with more traditional collection mechanisms. The concept of a VM serviced by a lightweight hypervisor is a relatively new paradigm for forensic practitioners. Traditional forensic techniques, based on assumptions that the filesystem was directly interacting with the hardware through an abstraction, afforded the forensic practitioner the assumption that there was nothing controlling the application below the filesystem. This is not the case when using virtualized technologies. Hypervisors can covertly monitor, introspect and interact with the guest in a transparent fashion. The problems of storage and collection of actionable data are exhausting. The current challenge is most hypervisors do not expose a useful application programming interface (API) at a sufficient level to do transparent, fine-grained and customizable introspection. Scalable VM instrumentation and introspection at an in-depth level requires fast handling of events, as well as direct access to VM state. Furthermore, deep introspection benefits greatly from the ability to gather data from the hardware during the VM’s exit to the hypervisor. All of this requires identical access to the system as the hypervisor itself; improper use of this ability could easily cause system instability. It is for this reason we believe that the hypervisor developers have been hesitant to grant this much control through their APIs. However, our approach leverages other means to collect and monitor the guests in a targeted fashion. Virtual machine introspection (VMI) is a technique used to monitor the runtime state of a system-level virtual machine. The runtime state can be may include processor registers, memory, disk, network, and any other hardware-level events A review of research literature and current VMI technologies exposed several limitations and tradeoffs in VMI approaches, including: the use of in-guest agents; kernel to user space transitions (dramatically slowing down processing); VMI tool pre-configuration requirements; hypervisor version lock-in or source code patching; reliance on operating system symbols; limited processor features due to hypervisor (even if the hardware could do more). To address these constraints, a VMI tool was envisioned to provide the cloud forensic capabilities while having as few of these limitations as possible. The Kernel-based Virtual Machine Introspection (KVMi) tool was developed for hypervisors on Intel’s x86-64 architecture. To meet performance, scoping and use-case demands, the follow criteria were applied to KVMi to support live, forensic data collection: • Shall not require in-guest agents. • Shall work with any recent version of modern hypervisors. • Shall introspect upon any guest (VM) running modern versions of Windows, Linux and OS X. • Shall have the ability to find and track operating system artifacts • Shall not require operating system symbol files. • Shall be able to fully handle VM-exits, bypassing execution of the hypervisor if necessary, to facilitate new features the hypervisor may not support. • Shall be compilable/loadable on a running system with standard build tools.

Stout, WilliamM.S.↗

Distribution function approach to redshift space distortions. Part II: N-body simulations

Measurement of redshift-space distortions (RSD) offers an attractive method to directly probe the cosmic growth history of density perturbations. A distribution function approach where RSD can be written as a sum over density weighted velocity moment correlators has recently been developed. In this paper we use results of N-body simulations to investigate the individual contributions and convergence of this expansion for dark matter. If the series is expanded as a function of powers of μ, cosine of the angle between the Fourier mode and line of sight, then there are a finite number of terms contributing at each order. We present these terms and investigate their contribution to the total as a function of wavevector k. For μ{sup 2} the correlation between density and momentum dominates on large scales. Higher order corrections, which act as a Finger-of-God (FoG) term, contribute 1% at k ∼ 0.015hMpc{sup −1}, 10% at k ∼ 0.05hMpc{sup −1} at z = 0, while for k > 0.15hMpc{sup −1} they dominate and make the total negative. These higher order terms are dominated by density-energy density correlations which contributes negatively to the power, while the contribution from vorticity part of momentum density auto-correlation adds to the total power, but is an order of magnitude lower. For μ{sup 4} term the dominant term on large scales is the scalar part of momentum density auto-correlation, while higher order terms dominate for k > 0.15hMpc{sup −1}. For μ{sup 6} and μ{sup 8} we find it has very little power for k < 0.15hMpc{sup −1}, shooting up by 2–3 orders of magnitude between k < 0.15hMpc{sup −1} and k < 0.4hMpc{sup −1}. We also compare the expansion to the full 2-d P{sup ss}(k,μ), as well as to the monopole, quadrupole, and hexadecapole integrals of P{sup ss}(k,μ). For these statistics an infinite number of terms contribute and we find that the expansion achieves percent level accuracy for kμ < 0.15hMpc{sup −1} at 6-th order, but breaks down on smaller scales because the series is no longer perturbative. We explore resummation of the terms into FoG kernels, which extend the convergence up to a factor of 2 in scale. We find that the FoG kernels are approximately Lorentzian with velocity dispersions around 600 km/s at z = 0.

79 ASTRONOMY AND ASTROPHYSICS↗

POINT-SPREAD FUNCTIONS FOR THE EXTREME-ULTRAVIOLET CHANNELS OF SDO/AIA TELESCOPES

We present the stray-light point-spread functions (PSFs) and their inverses we characterized for the Atmospheric Imaging Assembly (AIA) EUV telescopes on board the Solar Dynamics Observatory (SDO) spacecraft. The inverse kernels are approximate inverses under convolution. Convolving the original Level 1 images with them produces images with improved stray-light characteristics. We demonstrate the usefulness of these PSFs by applying them to two specific cases: photometry and differential emission measure (DEM) analysis. The PSFs consist of a narrow Gaussian core, a diffraction component, and a diffuse component represented by the sum of a Gaussian-truncated Lorentzian and a shoulder Gaussian. We determined the diffraction term using the measured geometry of the diffraction pattern identified in flare images and the theoretically computed intensities of the principal maxima of the first few diffraction orders. To determine the diffuse component, we fitted its parameterized model using iterative forward-modeling of the lunar interior in the SDO/AIA images from the 2011 March 4 lunar transit. We find that deconvolution significantly improves the contrast in dark features such as miniature coronal holes, though the effect was marginal in bright features. On a percentage-scattering basis, the PSFs for SDO/AIA are better by a factor of two than that of the EUV telescope on board the Transition Region And Coronal Explorer mission. A preliminary analysis suggests that deconvolution alone does not affect DEM analysis of small coronal loop segments with suitable background subtraction. We include the derived PSFs and their inverses as supplementary digital materials.

79 ASTRONOMY AND ASTROPHYSICS↗

Evaluation of a semiautomated lung mass calculation technique for internal dosimetry applications

Purpose: The authors sought to evaluate a simple, semiautomated lung mass estimation method using computed tomography (CT) scans obtained using a variety of acquisition techniques and reconstruction parameters for mass correction of medical internal radiation dose-based internal radionuclide radiation absorbed dose estimates.Methods: CT scans of 27 patients with lung cancer undergoing stereotactic body radiation therapy treatment planning with PET/CT were analyzed retrospectively. For each patient, free-breathing (FB) and respiratory-gated 4DCT scans were acquired. The 4DCT scans were sorted into ten respiratory phases, representing one complete respiratory cycle. An average CT reconstruction was derived from the ten-phase reconstructions. Mid expiration breath-hold CT scans were acquired in the same session for many patients. Deep inspiration breath-hold diagnostic CT scans of many of the patients were obtained from different scanning sessions at similar time points to evaluate the effect of contrast administration and maximum inspiration breath-hold. Lung mass estimates were obtained using all CT scan types, and intercomparisons made to assess lung mass variation according to scan type. Lung mass estimates using the FB CT scans from PET/CT examinations of another group of ten male and ten female patients who were 21–30 years old and did not have lung disease were calculated and compared with reference lung mass values. To evaluate the effect of varying CT acquisition and reconstruction parameters on lung mass estimation, an anthropomorphic chest phantom was scanned and reconstructed with different CT parameters. CT images of the lungs were segmented using the OsiriX MD software program with a seed point of about −850 HU and an interval of 1000. Lung volume, and mean lung, tissue, and air HUs were recorded for each scan. Lung mass was calculated by assuming each voxel was a linear combination of only air and tissue. The specific gravity of lung volume was calculated using the formula (lung HU − air HU)/(tissue HU − air HU), and mass = specific gravity × total volume × 1.04 g/cm{sup 3}.Results: The range of calculated lung masses was 0.51–1.29 kg. The average male and female lung masses during FB CT were 0.80 and 0.71 kg, respectively. The calculated lung mass varied across the respiratory cycle but changed to a lesser degree than did lung volume measurements (7.3% versus 15.4%). Lung masses calculated using deep inspiration breath-hold and average CT were significantly larger (p < 0.05) than were some masses calculated using respiratory-phase and FB CT. Increased voxel size and smooth reconstruction kernels led to high lung mass estimates owing to partial volume effects.Conclusions: Organ mass correction is an important component of patient-specific internal radionuclide dosimetry. Lung mass calculation necessitates scan-based density correction to account for volume changes owing to respiration. The range of lung masses in the authors’ patient population represents lung doses for the same absorbed energy differing from 25% below to 64% above the dose found using reference phantom organ masses. With proper management of acquisition parameters and selection of FB or midexpiration breath hold scans, lung mass estimates with about 10% population precision may be achieved.

62 RADIOLOGY AND NUCLEAR MEDICINE↗

Hierarchical Speed Planner for Automated Vehicles: A Framework for Lagrangian Variable Speed Limit in Mixed-Autonomy Traffic

Here, this article presents a novel hierarchical speed planning framework for variable speed limits in mixed-autonomy traffic environments, leveraging server-side macroscopic control and vehicle-side microscopic execution. The framework integrates real-time traffic state estimation (TSE) and reinforcement learning (RL)-based control to mitigate congestion and improve traffic flow. A TSE enhancement module combines macroscopic data from sources like INRIX with high-resolution observations from connected autonomous vehicles (CAVs), enabling predictive modeling to address latency and noise. The target speed design module employs kernel smoothing and a buffer zone strategy to optimize traffic density and flow around bottlenecks. The proposed system was validated in the largest open-road test to date with 100 CAVs, demonstrating an overall 8% traffic density decrease, with a specific decrease of 7% upstream, 10% downstream, and a 52% decrease during the congestion formation phase at bottlenecks.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

Comprehensive Fuel Performance Model Development and Simulation for TRISO Fuel

High Temperature Gas Reactor (HTGR), widely recognized as one of the top candidates for the Next Generation Nuclear Power-plant (NGNP) fleet, has received ever-increasing interest due to its superior safety and many other desirable features. TRISO fuel particles are the basic form of the fuel used in both pebble-bed and prismatic reactors. Since they are a key component of the HTGR core design, the success of the reactor depends on the safety and quality of the TRISO particles. During operation, a TRISO particle undergoes complex thermo-mechanical processes. Fission gases accumulate inside the kernel and the buffer layer, and lead to buildup of internal pressure. Uneven thermal conditions lead to asymmetric thermal expansion. The pyrolytic carbon, in both the IPyC and OPyC layers, is known to experience dimensional change (shrinkage or swelling) under fast neutron irradiation. In the mean time, both the IPyC and OPyC layers creep as a function of stress and fast neutron fluence. Macro cracks in the IPyC layer, corrosion in the SiC layer due to chemical attack, and debonding at the interface between IPyC and SiC, have been observed in post-irradiation examinations. All these processes further complicate the stress states in a TRISO particle, and might lead to failure of a single coating layer or the particle as a whole. It is very difficult to duplicate the actual environment that a particle is exposed to in experiments. It is even more difficult to isolate one process from another, thus making it nearly impossible to evaluate the impacts that a particular process has on the fuel particle by conducting experiments. The problem can however at least partially be addressed by modeling and simulation. Hence, multi-dimensional, multi-physics and comprehensive models are greatly needed to simulate and evaluate the performance of a TRISO particle under normal and accidental conditions. Existing models are inadequate as they are usually one-dimensional models that over-simplified these processes or do not include all the main physics. The goal of this thesis is to develop a comprehensive, multi-dimensional and multi-physics model to simulate and evaluate TRISO fuel performance. It includes all the main processes taking place in the fuel particle. Three equally important components of this modeling exercise are: 1) 3D heat transfer and temperature distribution analysis; 2) 3D neutronics, heat generation, and fission gas generation and release analysis; 3) 3D stress analysis and failure prediction of the TRISO particle. The 3D thermal model consists of the solution of the heat conduction equation using the finite difference technique. The temperature calculated using this model is compared to analytical solutions and to the results reported in literature. Good agreements are observed. Thermal models are developed to calculate temperature distribution in a pebble under different power and asymmetric convective boundary conditions caused by, for example, contacts with other pebbles. Three-dimensional temperature distribution in a TRISO particle is also calculated under various conditions such as in the presence of an off-center gas bubble. Three-dimensional neutronics models are developed using MCNP5/X. Burnup calculations are performed to track the number densities of a few important isotopes and to calculate gas production. The fractional gas release on both intra- and inter-granular level are calculated using the White and Tucker’s model. The gas pressure inside the buffer layer is also quantified. Finally, 3D axisymmetric stress models are developed using an open-source finite element code, FEAP. Modifications are introduced to FEAP to include PyC shrinkage and creep, etc. The modified code is benchmarked against Miller’s results, and good agreements are observed. A number of variables are studied to evaluate their impacts on stresses and failure probabilities. These variables include creep constant, creep Poisson’s ratio, irradiation temperature, BAF, layer thickness, etc. Some transient thermal conditions such as power surge, and defective cases such as a radial crack in IPyC, debonding and corrosion to SiC, are also studied. Among all, a few variables/conditions have significant impacts on stresses and failure probabilities, namely: shrinkage strain, creep constant, creep Poisson’s ratio, particle size, irradiation temperature, BAF and cracked IPyC. Order of magnitude of stresses resulting from temperature changes, pressure buildup due to gas generation, and due to PyC shrinkage/creep show that in the case of TRISO particle (when using specific empirical constants or existing dataset found in literature to calculate shrinkage/creep strains), stresses due to temperature changes and internal gas pressure are orders of magnitude lower than those resulting from shrinkage/creep. Failure probabilities of both IPyC and SiC are also calculated. The failure probability of IPyC under most conditions borderlines with the design requirement (1E-4) except under low irradiation temperature. The failure probability of SiC under normal conditions is minimal because it is always under compression; except when there is a radial crack in IPyC, in which case the stress in part of SiC becomes tensile and the failure probability is higher than 1E-4, and increases at higher burnup. The comprehensive fuel performance model developed in this work and implemented in a suite of computer codes simulates the thermo-mechanical behavior of a TRISO fuel particle under irradiation. This work leads to a better understanding of TRISO fuel particle evolution over its lifetime, and provides insights in how to improve the safety and reliability of TRISO fuel. The models developed here can be useful for other purposes related to TRISO fuel or for fuel performance evaluation of other forms of nuclear fuels. (author)

21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS↗