Results for “PHYSICS” — Page 43

DOE OSTI2016

SU-F-E-08: Medical Physics as a Teaching Tool for High School Science Curriculum

Purpose: Delivering high school science curriculum in a timely manner and in way that is accessible to all students is a challenge for teachers. Although many high schools offer career workshops, these are typically directed at senior students and do not relate directly to details of the curriculum. The objective of this initiative was to create a series of lectures that use medical physics to relate many aspects of the high school science curriculum to tangible clinical applications and to introduce students to alternate pathways into a career in health sciences. Methods: A series of lectures has been developed based on the Ontario High School Science Curriculum. Each lecture uses a career in radiotherapy medical physics as the framework for discussion of topics specific to the high school course being addressed. Results: At present, these lectures have been delivered in five area high schools to students ranging from sophomores to seniors. Survey documents are given to the students before and after the lecture to assess their awareness of careers in health care, applications of physics and their general interest in the subject areas. As expected, students have limited up front awareness of the wide variety of health related career paths. The idea of combining a career lecture with topics specific to the classroom curriculum has been well-received by teachers and students alike. Conclusion: Career talks for high school students are useful for students contemplating their post- secondary career path. Relating career discussion with direct course curriculum makes their studies more relevant and engaging. Students aspiring to a career in health sciences often focus their studies on life sciences due to limited knowledge of potential careers. An early introduction to medical physics presents them with an alternate path through the physical sciences into health care.

60 APPLIED LIFE SCIENCES↗

DOE OSTI2016

SU-F-E-14: Global Radiation Oncology Education and Training in Medical Physics Powered by Information and Communication Technologies

Purpose: Recent publications have highlighted the potential of Information and Communication Technologies (ICTs) to catalyze collaborations in cancer care, research and education in global radiation oncology. This work reports on the use of ICTs for global Medical Physics education and training across three countries: USA, Tanzania and Kuwait Methods: An online education platform was established by Radiation Oncology Faculty from Harvard Medical School, and the University of Pennsylvania with integrated Medical Physics Course modules accessible to trainees in Tanzania via partnership with the Muhimbili University of Health and Allied Sciences, and the Ocean Road Cancer Institute. The course modules incorporated lectures covering Radiation Therapy Physics with videos, discussion board, assessments and grade center. Faculty at Harvard Medical School and the University of Massachusetts Lowell also employed weekly Skype meetings to train/mentor three graduate students, living out-of-state and in Kuwait for up to 9 research credits per semester for over two semesters towards obtaining their graduate degrees Results: Students were able to successfully access the Medical Physics course modules and participate in learning activities, online discussion boards, and assessments. Other instructors could also access/co-teach the course modules from USA and Tanzania. Meanwhile all three graduate students with remote training via Skype and email made major progress in their graduate training with each one of them submitting their research results as abstracts to be presented at the 2016 AAPM conference. One student has also published her work already and all three are developing these abstracts for publication in peer-reviewed journals. Conclusion: Altogether, this work highlights concrete examples/model on how ICTs can be used for capacity building in Medical Physics across continents, for both education and research training needed for Masters/PhD degrees. The developed modules and model will be scaled to benefit many more trainees and other developing countries.

60 APPLIED LIFE SCIENCES↗

DOE OSTI2016

MO-DE-BRA-02: SIMAC: A Simulation Tool for Teaching Linear Accelerator Physics

Purpose: The first goal of this work is to develop software that can simulate the physics of linear accelerators (linac). The second goal is to show that this simulation tool is effective in teaching linac physics to medical physicists and linac service engineers. Methods: Linacs were modeled using analytical expressions that can correctly describe the physical response of a linac to parameter changes in real time. These expressions were programmed with a graphical user interface in order to produce an environment similar to that of linac service mode. The software, “SIMAC”, has been used as a learning aid in a professional development course 3 times (2014 – 2016) as well as in a physics graduate program. Exercises were developed to supplement the didactic components of the courses consisting of activites designed to reinforce the concepts of beam loading; the effect of steering coil currents on beam symmetry; and the relationship between beam energy and flatness. Results: SIMAC was used to teach 35 professionals (medical physicists; regulators; service engineers; 1 week course) as well as 20 graduate students (1 month project). In the student evaluations, 85% of the students rated the effectiveness of SIMAC as very good or outstanding, and 70% rated the software as the most effective part of the courses. Exercise results were collected showing that 100% of the students were able to use the software correctly. In exercises involving gross changes to linac operating points (i.e. energy changes) the majority of students were able to correctly perform these beam adjustments. Conclusion: Software simulation(SIMAC), can be used to effectively teach linac physics. In short courses, students were able to correctly make gross parameter adjustments that typically require much longer training times using conventional training methods.

60 APPLIED LIFE SCIENCES↗

DOE OSTI2016

MO-FG-BRB-00: AAPM Presidential Debate [medical physics education]

Building on the energy and excitement of Washington DC in a presidential election year, AAPM will host its own Presidential Debate to better understand the views of the AAPM membership! Past presidents of the AAPM, Drs. Bayouth, Hazle, Herman, and Seibert, will debate hot topics in medical physics including issues facing education, professional practice, and the advancement of science. The moderators, Drs. Brock and Stern, will also draw in topics from Point-Counterpoint articles from the Medical Physics Journals. Wrapping up the debate, the audience will have the opportunity to question the candidates in a town hall format. At the conclusion of this lively debate, the winner will be decided by the audience, so bring your Audience Response Units! Be part of Medical Physics - Decision 2016! Learning Objectives: Understand AAPM members’ views and opinions on issues facing medical physics education Learn AAPM members’ views and opinions on issues facing professional practice Identify AAPM members’ view and opinions on issues facing the advancement of science in medical physics J. Bayouth, Funding support from NCI;Scientific Advisory Board member - ViewRay.

96 KNOWLEDGE MANAGEMENT AND PRESERVATION↗

DOE OSTI2016

MO-FG-BRB-01: Debater [medical physics education ]

Building on the energy and excitement of Washington DC in a presidential election year, AAPM will host its own Presidential Debate to better understand the views of the AAPM membership! Past presidents of the AAPM, Drs. Bayouth, Hazle, Herman, and Seibert, will debate hot topics in medical physics including issues facing education, professional practice, and the advancement of science. The moderators, Drs. Brock and Stern, will also draw in topics from Point-Counterpoint articles from the Medical Physics Journals. Wrapping up the debate, the audience will have the opportunity to question the candidates in a town hall format. At the conclusion of this lively debate, the winner will be decided by the audience, so bring your Audience Response Units! Be part of Medical Physics - Decision 2016! Learning Objectives: Understand AAPM members’ views and opinions on issues facing medical physics education Learn AAPM members’ views and opinions on issues facing professional practice Identify AAPM members’ view and opinions on issues facing the advancement of science in medical physics J. Bayouth, Funding support from NCI;Scientific Advisory Board member - ViewRay.

96 KNOWLEDGE MANAGEMENT AND PRESERVATION↗

DOE OSTI2016

MO-FG-BRB-02: Debater [medical physics education]

Building on the energy and excitement of Washington DC in a presidential election year, AAPM will host its own Presidential Debate to better understand the views of the AAPM membership! Past presidents of the AAPM, Drs. Bayouth, Hazle, Herman, and Seibert, will debate hot topics in medical physics including issues facing education, professional practice, and the advancement of science. The moderators, Drs. Brock and Stern, will also draw in topics from Point-Counterpoint articles from the Medical Physics Journals. Wrapping up the debate, the audience will have the opportunity to question the candidates in a town hall format. At the conclusion of this lively debate, the winner will be decided by the audience, so bring your Audience Response Units! Be part of Medical Physics - Decision 2016! Learning Objectives: Understand AAPM members’ views and opinions on issues facing medical physics education Learn AAPM members’ views and opinions on issues facing professional practice Identify AAPM members’ view and opinions on issues facing the advancement of science in medical physics J. Bayouth, Funding support from NCI;Scientific Advisory Board member - ViewRay.

61 RADIATION PROTECTION AND DOSIMETRY↗

DOE OSTI2016

MO-FG-BRB-03: Debater [medical physics education]

Building on the energy and excitement of Washington DC in a presidential election year, AAPM will host its own Presidential Debate to better understand the views of the AAPM membership! Past presidents of the AAPM, Drs. Bayouth, Hazle, Herman, and Seibert, will debate hot topics in medical physics including issues facing education, professional practice, and the advancement of science. The moderators, Drs. Brock and Stern, will also draw in topics from Point-Counterpoint articles from the Medical Physics Journals. Wrapping up the debate, the audience will have the opportunity to question the candidates in a town hall format. At the conclusion of this lively debate, the winner will be decided by the audience, so bring your Audience Response Units! Be part of Medical Physics - Decision 2016! Learning Objectives: Understand AAPM members’ views and opinions on issues facing medical physics education Learn AAPM members’ views and opinions on issues facing professional practice Identify AAPM members’ view and opinions on issues facing the advancement of science in medical physics J. Bayouth, Funding support from NCI;Scientific Advisory Board member - ViewRay.

96 KNOWLEDGE MANAGEMENT AND PRESERVATION↗

DOE OSTI2016

MO-FG-BRB-04: Debater [ Medical physics education ]

Building on the energy and excitement of Washington DC in a presidential election year, AAPM will host its own Presidential Debate to better understand the views of the AAPM membership! Past presidents of the AAPM, Drs. Bayouth, Hazle, Herman, and Seibert, will debate hot topics in medical physics including issues facing education, professional practice, and the advancement of science. The moderators, Drs. Brock and Stern, will also draw in topics from Point-Counterpoint articles from the Medical Physics Journals. Wrapping up the debate, the audience will have the opportunity to question the candidates in a town hall format. At the conclusion of this lively debate, the winner will be decided by the audience, so bring your Audience Response Units! Be part of Medical Physics - Decision 2016! Learning Objectives: Understand AAPM members’ views and opinions on issues facing medical physics education Learn AAPM members’ views and opinions on issues facing professional practice Identify AAPM members’ view and opinions on issues facing the advancement of science in medical physics J. Bayouth, Funding support from NCI;Scientific Advisory Board member - ViewRay.

96 KNOWLEDGE MANAGEMENT AND PRESERVATION↗

DOE OSTI2023

Automated Adversary-in-the-Loop Cyber-Physical Defense Planning

Security of cyber-physical systems (CPS) continues to pose new challenges due to the tight integration and operational complexity of the cyber and physical components. To address these challenges, this article presents a domain-aware, optimization-based approach to determine an effective defense strategy for CPS in an automated fashion—by emulating a strategic adversary in the loop that exploits system vulnerabilities, interconnection of the CPS, and the dynamics of the physical components. Our approach builds on an adversarial decision-making model based on a Markov Decision Process (MDP) that determines the optimal cyber (discrete) and physical (continuous) attack actions over a CPS attack graph. The defense planning problem is modeled as a non-zero-sum game between the adversary and defender. We use a model-free reinforcement learning method to solve the adversary’s problem as a function of the defense strategy. We then employ Bayesian optimization (BO) to find an approximate best-response for the defender to harden the network against the resulting adversary policy. This process is iterated multiple times to improve the strategy for both players. We demonstrate the effectiveness of our approach on a ransomware-inspired graph with a smart building system as the physical process. Numerical studies show that our method converges to a Nash equilibrium for various defender-specific costs of network hardening.

97 MATHEMATICS AND COMPUTING↗

DOE OSTI2023

Diagnosing Near-Surface Model Errors with Candidate Physics Parameterization Schemes for the Multiphysics Rapid Refresh Forecast System (RRFS) Ensemble during Winter over the Northeastern United States and Southern Great Plains

Abstract During the winter of 2020/21 an ensemble of FV3-LAM forecasts was produced over the contiguous United States for the Winter Weather Experiment using five physics suites. These forecasts are evaluated with the goal of optimizing physics parameterizations within the future operational Rapid Refresh Forecast System (RRFS) in the Unified Forecast System (UFS) realm and for selecting suitable physics suites for a multiphysics RRFS ensemble. The five physics suites have different combinations of land surface models (LSMs), planetary boundary layer (PBL) parameterizations, and surface layer schemes, chosen from those used in current and possible future operational systems and likely to be supported in the operational UFS. Full-season evaluation reveals a persistent near-surface cold bias in the U.S. Northeast from one suite and a nighttime warm bias in the southern Great Plains in another suite, while other suites have smaller biases. A representative case is chosen to diagnose the cause for each of these biases using sensitivity simulations with different physics combinations or modified parameters and verified with additional mesonet observations. The cold bias in the Northeast is attributed to aspects of the Noah-MP LSM over snow cover, where Noah-MP simulates lower soil water content, and thus lower thermal conductivity than other LSMs, leading to less upward ground heat flux during nighttime and consequently lower surface temperature. The nighttime warm bias found in the southern Great Plains is attributed to overestimation of vertical mixing in the K -profile-based eddy-diffusivity mass-flux (K-EDMF) PBL scheme and insufficient land–atmospheric coupling from the GFS surface layer scheme over short vegetation. A few key parameters driving these systematic biases are identified.

Meteorology & Atmospheric Sciences↗

DOE OSTI2024

Evaluating Physics-Informed Neural Network Performance for Seismic Discrimination between Earthquakes and Explosions

In this article, we evaluate adding a weak physics constraint, that is, a physics‐based empirical relationship, to the loss function with a physics‐informed manner in local distance explosion discrimination in the hope of improving the generalization capability of the machine learning (ML) model. We compare the proposed model with the two‐branch model we previously developed, as well as with a pure data‐driven model. Unexpectedly, the proposed model did not consistently outperform the pure data‐driven model. By varying the level of inconsistency in the training data, we find this approach is modulated by the strength of the physics relationship. In conclusion, this result has important implications for how to best incorporate physical constraints in ML models.

58 GEOSCIENCES↗

DOE OSTI2022

A comprehensive guide to the physics and usage of PYTHIA 8.3

This manual describes the Pythia event generator, the most recent version of an evolving physics tool used to answer fundamental questions in particle physics. The program is most often used to generate high-energy-physics collision “events”, i.e. sets of particles produced in association with the collision of two incoming high-energy particles, but has several uses beyond that. The guiding philosophy is to produce and re-produce properties of experimentally obtained collisions as accurately as possible. The program includes a wide ranges of reactions within and beyond the Standard Model, and extending to heavy ion physics. Emphasis is put on phenomena where strong interactions play a major role. The manual contains both pedagogical and practical components. All included physics models are described in enough detail to allow the user to obtain a cursory overview of used assumptions and approximations, enabling an informed evaluation of the program output. A number of the most central algorithms are described in enough detail that the main results of the program can be reproduced independently, allowing further development of existing models or the addition of new ones. Finally, a chapter dedicated fully to the user is included towards the end, providing pedagogical examples of standard use cases, and a detailed description of a number of external interfaces. The program code, the online manual, and the latest version of this print manual can be found on the Pythia web page: https://www.pythia.org/.

Bierlich, Christian↗

DOE OSTI2013

Physics-Based Constraints in the Forward Modeling Analysis of Time-Correlated Image Data (Long Version)

The forward-model approach has been shown to produce accurate model reconstructions of scientific measurements for single-time image data. Here we extend the approach to a series of images that are correlated in time using the physics-based constraints that are often available with scientific imaging. The constraints are implemented through a representational bias in the model and, owing to the smooth nature of the physics evolution in the specified model, provide an effective temporal regularization. Unlike more general temporal regularization techniques, this restricts the space of solutions to those that are physically realizable. We explore the performance of this approach on a simple radiographic imaging problem of a simulated object evolving in time. We demonstrate that the constrained simultaneous analysis of the image sequence outperforms the independent forward modeling analysis over a range of degrees of freedom in the physics constraints, including when the physics model is under-constrained. Further, this approach outperforms the independent analysis over a large range of signal-to-noise ratios.

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND ↗

DOE OSTI2013

Using Plasmon Peaks in Electron Energy-Loss Spectroscopy to Determine the Physical and Mechanical Properties of Nanoscale Materials

In this program, we developed new theoretical and experimental insights into understanding the relationships among fundamental universality and scaling phenomena, the solid-state physical and mechanical properties of materials, and the volume plasmon energy as measured by electron energy-loss spectroscopy (EELS). Particular achievements in these areas are summarized as follows: (i) Using a previously proposed physical model based on the universal binding-energy relation (UBER), we established close phenomenological connections regarding the influence of the valence electrons in materials on the longitudinal plasma oscillations (plasmons) and various solid-state properties such as the optical constants (including absorption and dispersion), elastic constants, cohesive energy, etc. (ii) We found that carbon materials, e.g., diamond, graphite, diamond-like carbons, hydrogenated and amorphous carbon films, exhibit strong correlations in density vs. E p (or maximum of the volume plasmon peak) and density vs. hardness, both from available experimental data and ab initio DFT calculations. This allowed us to derive a three-dimensional relationship between hardness and the plasmon energy, that can be used to determine experimentally both hardness and density of carbon materials based on measurements of the plasmon peak position. (iii) As major experimental accomplishments, we demonstrated the possibility of in-situ monitoring of changes in the physical properties of materials with conditions, e.g., temperature, and we also applied a new plasmon ratio-imaging technique to map multiple physical properties of materials, such as the elastic moduli, cohesive energy and bonding electron density, with a sub-nanometer lateral resolution. This presents new capability for understanding material behavior. (iv) Lastly, we demonstrated a new physical phenomenon - electron-beam trapping, or electron tweezers - of a solid metal nanoparticle inside a liquid metal. This phenomenon is analogous to that of optical trapping of solid microparticles in solution known as "optical tweezers", which is currently being used to manipulate molecules and inorganic materials in a variety of nanotechnology applications.

36 MATERIALS SCIENCE↗

DOE OSTI2013

International Linear Collider Technical Design Report - Volume 2: Physics

For more than twenty years, an advanced electron-positron collider has been put forward as a key component of the future program of elementary particle physics. We have a well-established Standard Model of particle physics, but it is known to be incomplete. Among the many questions that this model leaves open, there are two — the origin of the masses of elementary particles and the particle identity of cosmic dark matter – that should be addressed at energy scales below 1 TeV. It has been appreciated for a long time that a next-generation electron-positron collider would give us the ability to make precision measurements that would shed light on these mysteries. Now the technology to build this electron-positron collider has come of age. This report is a volume of the Technical Design Report for the International Linear Collider (ILC). The accompanying volumes of this report lay out the technical design of a high-luminosity e + e - collider at 500 GeV in the center of mass and of detectors that could make use of the collisions to perform high-precision measurements. In this volume, we summarize the physics arguments for building this collider and their appropriate relation to the situation of particle physics as of the fall of 2012. The discussion in this volume supplements the presentation of the physics opportunities for a 500 GeV e + e - collider given in the review articles, the 2001 regional study reports, the 2006 study of ILC/LHC complementarity, and the 2007 ILC Reference Design Report.

43 PARTICLE ACCELERATORS↗

DOE OSTI2014

Physical Property Measurements of Laboratory Prepared Saltstone Grout

The Saltstone Production Facility (SPF) built two new Saltstone Disposal Units (SDU), SDU 3 and SDU 5, in 2013. The variable frequency drive (VFD) for the grout transfer hose pump tripped due to high current demand by the motor during the initial radioactive saltstone transfer to SDU 5B on 12/5/2013. This was not observed during clean cap processing on July 5, 2013 to SDU 3A, which is a slightly longer distance from the SPF than is SDU 5B. Saltstone Design Authority (SDA) is evaluating the grout pump performance and capabilities to transfer the grout processed in SPF to SDU 3/5. To assist in this evaluation, grout physical properties are required. At this time, there are no rheological data from the actual SPF so the properties of laboratory prepared samples using simulated salt solution or Tank 50 salt solution will be measured. The physical properties of grout prepared in the laboratory with de-ionized water (DI) and salt solutions were obtained at 0.60 and 0.59 water to premix (W/P) ratios, respectively. The yield stress of the DI grout was greater than any salt grout. The plastic viscosity of the DI grout was lower than all of the salt grouts (including salt grout with admixture). When these physical data were used to determine the pressure drop and fluid horsepower for steady state conditions, the salt grouts without admixture addition required a higher pressure drop and higher fluid horsepower to transport. When 0.00076 g Daratard 17/g premix was added, both the pressure drop and fluid horsepower were below that of the DI grout. Higher concentrations of Daratard 17 further reduced the pressure drop and fluid horsepower. The uncertainty in the single point Bingham Plastic parameters is + 4% of the reported values and is the bounding uncertainty. Two different mechanical agitator mixing protocols were followed for the simulant salt grout, one having a total mixing time of three minutes and the other having a time of 10 minutes. The Bingham Plastic parameters were essentially the same for the salt grout without admixture. When Daratard 17 was added, the Bingham Plastic yield stress increased for the 10 minute mix. The simulant salt used in this task had similar physical properties of the Tank 50 3Q13 salt grout and is recommended for future use, if the salt solution in Tank 50 does not change. The design basis physical properties used to size the pumps and mixers at SPF were obtained from DPST-85-312. The grouts characterized in this report are bounded by the design basis density and Bingham Plastic yield stress. The opposite is true for the plastic viscosity. Steady state pressure drop calculations were performed for the design basis values using the flow rate for the clean cap and salt grouts and they bound the pressure drop of the grouts characterized in this report. A comparison of the lab prepared samples to PI ProcessBook data, specifically average pressure drop, indicate that the lab prepared samples are more viscous in nature than what is processed in the facility. This difference could be due to the applied shear rates which could be lower in the lab as compared to the facility and that fact the SPF added flush water, making this comparison more difficult. A perfunctory review of the PI ProcessBook data was discussed. It may be possible that the frequency that the distributed control system alters the grout pump speed to maintain grout hopper volume can negatively affect the efficiency of the grout pump.

12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE W↗

DOE OSTI2014

Integration of Advanced Probabilistic Analysis Techniques with Multi-Physics Models

An integrated simulation platform that couples probabilistic analysis-based tools with model-based simulation tools can provide valuable insights for reactive and proactive responses to plant operating conditions. The objective of this work is to demonstrate the benefits of a partial implementation of the Small Modular Reactor (SMR) Probabilistic Risk Assessment (PRA) Detailed Framework Specification through the coupling of advanced PRA capabilities and accurate multi-physics plant models. Coupling a probabilistic model with a multi-physics model will aid in design, operations, and safety by providing a more accurate understanding of plant behavior. This represents the first attempt at actually integrating these two types of analyses for a control system used for operations, on a faster than real-time basis. This report documents the development of the basic communication capability to exchange data with the probabilistic model using Reliability Workbench (RWB) and the multi-physics model using Dymola. The communication pathways from injecting a fault (i.e., failing a component) to the probabilistic and multi-physics models were successfully completed. This first version was tested with prototypic models represented in both RWB and Modelica. First, a simple event tree/fault tree (ET/FT) model was created to develop the software code to implement the communication capabilities between the dynamic-link library (dll) and RWB. A program, written in C#, successfully communicates faults to the probabilistic model through the dll. A systems model of the Advanced Liquid-Metal Reactor–Power Reactor Inherently Safe Module (ALMR-PRISM) design developed under another DOE project was upgraded using Dymola to include proper interfaces to allow data exchange with the control application (ConApp). A program, written in C+, successfully communicates faults to the multi-physics model. The results of the example simulation were successfully plotted.

11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS↗

DOE OSTI2015

Physical Uncertainty Bounds (PUB)

This paper introduces and motivates the need for a new methodology for determining upper bounds on the uncertainties in simulations of engineered systems due to limited fidelity in the composite continuum-level physics models needed to simulate the systems. We show that traditional uncertainty quantification methods provide, at best, a lower bound on this uncertainty. We propose to obtain bounds on the simulation uncertainties by first determining bounds on the physical quantities or processes relevant to system performance. By bounding these physics processes, as opposed to carrying out statistical analyses of the parameter sets of specific physics models or simply switching out the available physics models, one can obtain upper bounds on the uncertainties in simulated quantities of interest.

36 MATERIALS SCIENCE↗