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Numbers of citations of outstanding conference papers (OCPs) of IEEE Nuclear and Space Radiation Effects Conferences (NSRECs) from 1966 to 2017 are compared with citations of the most highly cited papers (HCPs) of the corresponding special issues of the IEEE TRANSACTIONS ON NUCLEAR SCIENCE (TNS), as well as average numbers of citations and cumulative $h$ index, $h_{\mathrm {cum}}$ , for all TNS papers published in the same year. 85% of NSREC OCPs are cited at a higher rate than the average for all TNS articles in that year. 55% of NSREC OCP citation totals are higher than $h_{\mathrm {cum}}$ for TNS in that year; these rank among the ~8% most highly cited TNS papers for that year. In ~10% of cases, the NSREC OCP is also the most HCP. Similarly high citation impact is found for papers nominated as candidates for OCPs. Radiation effects papers published in annual NSREC special issues comprise a significant fraction of all TNS articles cited $h_{\mathrm {cum}}$ times or more. These results support the use of $h_{\mathrm {cum}}$ as a metric of citation impact in this work and show that the NSREC OCP process generally meets awards criteria guidelines for impact. Potential reasons for variations in citation rates are discussed, and recommendations are provided to enhance the awards process. [ABSTRACT FROM AUTHOR]

The recipients of the 2020 NSREC Outstanding Conference Paper Award are George N. Tzintzarov, Adrian Ildefonso, Jeffrey W. Teng, Milad Frounchi, Albert Djikeng, Prahlad Iyengar, Patrick S. Goley, Ani Khachatrian, Joel M. Hales, Ryan Bahr, Stephen Buchner, Dale McMorrow, and John D. Cressler for their paper entitled “Optical Single-Event Transients Induced in Integrated Silicon-Photonic Waveguides by Two-Photon Absorption.” [ABSTRACT FROM AUTHOR]

The recipients of the 2019 NSREC Outstanding Conference Paper Award are Joel M. Hales, Ani Khachatrian, Stephen Buchner, Jeffrey Warner, Adrian Ildefonso, George N. Tzintzarov, Delgermaa Nergui, Daniele M. Monahan, Stephen D. LaLumondiere, John D. Cressler, and Dale McMorrow for their paper entitled “New Approach for Pulsed-Laser Testing That Mimics Heavy-Ion Charge Deposition Profiles.” [ABSTRACT FROM AUTHOR]

This paper updates and complements a previously published evaluation of computational methods for total and partial cross sections, relevant to modeling the photoelectric effect in Monte Carlo particle transport. It examines calculation methods that have become available since the publication of the previous paper, some of which claim improvements over previous calculations; it tests them with statistical methods against the same sample of experimental data collected for the previous evaluation. No statistically significant improvements are observed with respect to the calculation method identified in the previous paper as the state of the art for the intended purpose, encoded in the EPDL97 data library. Some of the more recent computational methods exhibit significantly lower capability to reproduce experimental measurements than the existing alternatives. [ABSTRACT FROM AUTHOR]

The recipients of the 2021 NSREC Outstanding Conference Paper Award are Daisuke Kobayashi, Kazuyuki Hirose, Keita Sakamoto, Yuta Tsuchiya, Shogo Okamoto, Shunsuke Baba, Hiroyuki Shindou, Osamu Kawasaki, Takahiro Makino, and Takeshi Ohshima for their paper titled “An SRAM SEU Cross Section Curve Physics Model.” [ABSTRACT FROM AUTHOR]

Presents the recipients of the Outstanding Conference Paper Award from the 2015 IEEE Nuclear and Space Radiation Effects Conference. [ABSTRACT FROM PUBLISHER]

The article presents information on two papers recognized as Outstanding Conference Papers of the 2017 IEEE Nuclear and Space Radiation Effects Conference (NSREC). These are, “Effects of Heavy-Ion Irradiation in Vertical 3-D NAND Flash Memories,” by Marta Bagatin and colleagues, and "Influence of LDD Spacers and H+ Transport on the Total-Ionizing-Dose Response of 65-nm MOSFETs Irradiated to Ultrahigh Doses," by Federico Faccio.

The IEEE Transactions on Nuclear Science Best Paper Award is an annual award recognizing the most significant paper published in the Transactions in a given year. The Award is sponsored by the IEEE Nuclear and Plasma Sciences Society and the winning paper is selected according to its quantifiable usefulness to the community. The authors of the papers published in the TRANSACTIONS in the third year prior to the year of the award are eligible for consideration. The 2022 award is, therefore, awarded to the paper published in the calendar year 2019, judged to be the most useful to our community based on metrics calculated for the years 2019–2021. [ABSTRACT FROM AUTHOR]

Several sources of total cross sections for e+e− pair production by photon interaction with matter, used by major Monte Carlo codes for particle transport, are quantitatively evaluated with respect to experimental measurements collected from the literature. They include data libraries deriving from theoretical calculations and analytical formulae representing empirical fits to tabulations. Although most of these sources of cross sections are based on one theoretical reference, the statistical data analysis documented in this paper highlights differences in their compatibility with experiment. The cross sections collected in the 1997 version of the Evaluated Photon Data Library (EPDL) exhibit the lowest incompatibility with experiment; the paper details the validation results for all the examined cross section sources. The scarcity of experimental data does not allow the validation process to discern pair production in the field of the nucleus and in the field of atomic electrons; nevertheless, this paper documents relevant clues regarding the contribution of the latter to reproduce experimental measurements. [ABSTRACT FROM AUTHOR]

It is a long-standing tradition of the IEEE Nuclear and Space Radiation Effects Conference (NSREC) to recognize the Outstanding Conference Paper, the Outstanding Data Workshop Presentation, and the best paper presented and first-authored by an IEEE Student Member. In addition to recognizing authors for particularly high quality and relevant work, the awards process also encourages all authors to produce presentations and manuscripts of high technical quality, clarity of presentation, and significance to the community. [ABSTRACT FROM AUTHOR]

The recipients of the 2018 NSREC Outstanding Conference Paper Award are Adrian Ildefonso, Zachary E. Fleetwood, George N. Tzintzarov, Joel M. Hales, Delgermaa Nergui, Milad Frounchi, Ani Khachatrian, Stephen Buchner, Dale McMorrow, Jeffrey H. Warner, Joseph Harms, Anna Erickson, Kay Voss, Véronique Ferlet-Cavrois, and John D. Cressler for their paper titled “Optimizing Optical Parameters to Facilitate Correlation of Laser-and Heavy-Ion-Induced Single-Event Transients in SiGe HBTs.” [ABSTRACT FROM AUTHOR]

This paper, an update of a paper published in 2003 (1), identifies a number of papers presented at the NSREC and published in the IEEE Transactions on Nuclear Science that have had measurable impact on radiation effects research and the radiation effects community. Criteria include papers selected for the Outstanding Paper Award at the NSREC or papers from the NSREC that have been highly cited by authors of other journal publications. Observations on the successes and failures of the methodology used for selecting high-impact papers are presented. [ABSTRACT FROM PUBLISHER]

Identifies a selection of papers presented at the Nuclear and Space Radiation Effects Conference and published in the 'IEEE Transactions on Nuclear Science' which have had measurable impact on radiation effects research and the radiation effects community. Papers receiving an outstanding paper award; First reports, overlooked papers and others.

On behalf of the Committee, I am pleased to announce the 2021 IEEE Nuclear and Space Radiation Effects Conference (NSREC) awards. Although there were several strong candidates, one paper clearly stood out in terms of relative ranking and scoring, and a second paper received evaluations well above those of the remaining papers. Accordingly, it was decided to award a best paper and a meritorious paper for NSREC 2021. The Outstanding Student Paper was the highest-ranking finalist paper first-authored and presented by a student. [ABSTRACT FROM AUTHOR]

The IEEE Transactions on Nuclear Science (TNS) Best Paper Award is an annual award recognizing the most significant paper published in the Transactions in a given year. The Award is sponsored by the IEEE Nuclear and Plasma Sciences Society and the winning paper is selected according to its quantifiable usefulness to the community. The authors of the papers published in the Transactions in the third year prior to the year of the award are eligible for consideration. The 2021 award is, therefore, awarded to the paper published in the calendar year 2018, judged to be the most useful to our community based on metrics calculated for the years 2018–2020. [ABSTRACT FROM AUTHOR]

Nowadays, the data compression technique is fully developed and widely used in many fields, such as communication, multi-media, image processing, and so on. In large physics experiments, especially the ones with micropattern gas detectors (MPGDs), there are always large numbers of readout channels and many data to be transferred. However, the data compression technique is seldom applied in this field. In this paper, a real-time lossless data compression method, which can reduce the data transmission bandwidth while keeping all information of data is proposed and successfully implemented in a general-purpose MPGD readout system. The compression method discussed in this paper mainly consists of two steps: The first step is to preprocess the data according to the signal characteristics and the second step is to compress the preprocessed data using a common lossless compression algorithm. In addition, the whole compression method is implemented in the field-programmable gate array (FPGA) and can run in real time. The compression method is validated with two different signals and the compression ratios reach 43% and 30%, respectively. [ABSTRACT FROM AUTHOR]

This paper presents a study of the noise behavior of MOSFET devices belonging to a 110-nm CMOS technology in view of applications to the design of low-noise, low-power analog circuits in X-ray detection at free electron lasers (FELs) and the next generation of synchrotrons. The goal of this paper is to provide a valuable and cost-effective option, with respect to more scaled and expensive technology nodes, to designers of the detection systems of FELs and next-generation synchrotron sources. The white component of the noise voltage spectrum and the 1/ $f$ noise contribution is experimentally characterized by noise measurements in a wide frequency range. Data extracted from the characterization have been studied as a function of the bias condition and the gate dimensions (length and width). A comparison of the main parameters with less and more scaled CMOS generations is also provided. [ABSTRACT FROM AUTHOR]

Detecting and anticipating global proliferation expertise and capability evolution from unstructured, noisy, and incomplete public data streams is a highly desired, but extremely challenging task. In this article, we present our pioneering data-driven approach to support the non-proliferation mission to detect and explain the evolution of proliferation expertise and capability development globally from terabytes of publicly available information (PAI), focusing on our knowledge extraction pipeline and descriptive analytics. We first discuss how we fuse nine open-source data streams, including multilingual data, to convert 4 TB of unstructured data to structured knowledge and encode dynamically evolving proliferation expertise representations—content and context graphs. For this, we rely on natural language processing (NLP) and deep learning (DL) models to perform information extraction, topic modeling, and distributed text representation (aka embedding) learning. We then present interactive, usable, and explainable descriptive analytics to refine domain knowledge and present it in a human-understandable form. Finally, we introduce future work avenues that will leverage our dynamic knowledge representations and descriptive analytics to enable predictive and prescriptive inferences to achieve real-time domain understanding and contextual reasoning about global proliferation expertise and capability evolution. [ABSTRACT FROM AUTHOR]

The recipients of the 2012 NSREC Outstanding Conference Paper Award are Vincent Goiffon, Magali Estribeau, Olivier Marcelot, Paola Cervantes, Pierre Magnan, Marc Gaillardin, Cedric Virmontois, Philippe Martin-Gonthier, Romain Molina, Franck Corbiere, Sylvain Girard, Philippe Paillet and Claude Marcandella for their paper entitled "Radiation Effects in Pinned Photodiode CMOS Image Sensors: Pixel Performance Degradation Due to Total Ionizing Dose." [ABSTRACT FROM AUTHOR]

The article profiles the authors of the research paper "Impact of heavy ion energy and nuclear interactions on single-event upset and latchup in integrated circuits," which won the 2007 Nuclear and Space Radiation Effects Conference (NSREC) Outstanding Conference Paper Award. They include Paul E. Dodd, general chairman for the 2008 NSREC, James R. Schwank, senior editor for radiation effects for the "IEEE Transactions on Nuclear Science," Marty R. Shaneyfelt, member-at-large of the Radiation Effects Steering Group, and James A. Felix, associate guest editor for the "IEEE Transactions on Nuclear Science."

This paper present the impact on hardness assurance testing and the enhanced degradation of proton and neutron of the semiconductor device. In this work, it is shown that protons and neutrons can induce enhanced degradation in both trench and planar geometry power MOSFETs. Specifically, large shifts in current-voltage characteristics of some devices were observed at extremely low proton total dose levels (as low as 2 rad(SiO2)). These shifts induced significant increases (more than three orders of magnitude) in device "off" state leakage current. Neutron irradiations show similar degradation at equivalent fluence levels, even though neutrons do not deposit dose due to direct ionization. In addition, this increase in leakage current occurs at a much lower total dose level than expected based on 60Co gamma ray data. These data therefore suggest that the mechanism responsible for the enhanced degradation is a microdose effect associated with secondary particles produced through nuclear interactions between protons and neutrons and the materials in integrated circuits. The secondary particles deposit enough charge in the gate oxide to induce a parasitic drain to source leakage path in the transistor. Although the results are demonstrated for only trench and planar geometry power MOSFETs, microdose effects can impact the radiation response of other integrated circuit types. [ABSTRACT FROM PUBLISHER]

In this paper, we perform an in-depth analysis of the single-event effects observed during testing at medical electron linacs and an experimental high-energy electron linac. For electron irradiations, the medical linacs are most commonly used due to their availability and flexibility. Whereas previous efforts were made to characterize the cross sections at higher energies, where the nuclear interaction cross section is higher, the focus of this paper is on the complete overview of relevant electron energies. Irradiations at an electron linac were made with two different devices, with a large difference in feature size. The irradiations at an experimental linac were performed with varying energies and intensities to omit other possible effects. [ABSTRACT FROM AUTHOR]

Novel design techniques for efficient testability are developed and have been implemented in a 14-/16-nm bulk FinFET node technology characterization vehicle. The result of this paper was the measurement of over 300 000 SETs across 12 combinational logic variants and 415 000 SEUs in three D-flip-flop designs over a large test matrix of heavy-ion linear energy transfer, angle of incidence, and supply voltage in only 319 test runs with a total test time of 108 h. A similar-sized data set with equivalent technology coverage, using the traditional serial testing approach as used in previous work, would typically require thousands of test runs and a significant number of additional hours of testing. The methodologies developed in this paper are technology agnostic and have provided the capability to efficiently characterize the radiation-induced response of the 14-/16-nm FinFET technology generation and yielded insights for assessing the feasibility for incorporation in systems requiring radiation resiliency. [ABSTRACT FROM PUBLISHER]

The IEEE Transactions on Nuclear Science Best Paper Award is an annual award recognizing the most significant paper published in the Transactions in a given year. The Award is sponsored by the IEEE Nuclear and Plasma Sciences Society and the winning paper is selected according to its quantifiable usefulness to the community. The authors of the papers published in the Transactions in the third year prior to the year of the award are eligible for consideration. The 2020 award is, therefore, awarded to the paper published in the calendar year 2017, judged to be the most useful to our community based on metrics calculated for the years 2017–2019. [ABSTRACT FROM AUTHOR]

The article presents information on the award winning research paper at the 2005 Institute of Electrical & Electronics Engineers Inc.'s Nuclear and Space Radiation Effects Conference (NSREC) Awards. Information about the researchers who worked on this paper is also presented in the article. The paper "Effects of Particle Energy on Proton-Induced Single-Event Latch up," by James R. Schwan, Marty R. Shaneyfelt, Jacques Baggio, Paul E. Dodd, James A. Felix, Veronique Ferlet-Cavrois, Philippe Paillet, Damien Lambert, Fred W Sexton, Gerald L. Hash and Ewart Blackmore, was adjudged the winner of NSREC Awards. The paper talked about the effect of proton energy on single-event latchup in modern-day SRAMs over a wide range of proton energies and temperature. The heavy-ion SEL linear energy transfer thresholds of the SRAMs were measured and compared these to high-energy transport calculations of proton interactions with different materials. It was found that the high-LET nuclear recoils are generated by proton interactions with tungsten. It was concluded that for system applications where latchups cannot be tolerated, SEL hardness assurance testing should be performed at a proton energy at least as high as the highest proton energy present in the system environment.

Presents the biographies of the recipients of the 2013 NSREC Outstanding Conference Paper Award. [ABSTRACT FROM PUBLISHER]

Core power control of a nuclear reactor during power maneuvering transients is an important issue in a nuclear power plant. This paper, for the first time, presents an optimized PID controller for a nuclear research reactor with a new model of the reactor core, which is based on the fractional neutron point kinetics (FNPK) equations. This model preserves the main dynamic properties of the neutron movement in which the relaxation time related to a quick change in the neutron flux includes a fractional order, acting as an exponent of the relaxation time, to show the dynamic characteristics of the nuclear reactor in the best way. The physical justification of the fractional exponent is associated with nonFickian impressions from the neutron diffusion equation point of view. In addition, in this paper, for the first time, feedback reactivity effects are considered for FNPK model. Genetic algorithm (GA) is used to optimize gains of the PID controller. The objective function is according to the minimization of the integral of time-weighted absolute error (ITAE). The simulation result demonstrates that this optimized control method has satisfactory performance and stability during output-tracking process for higher values of fractional order. [ABSTRACT FROM AUTHOR]

This paper presents a compact model of latchup considering design and process dependence. The new approach is more realistic and inspirited from the classical model. This model was used to confirm the single-event latchup (SEL) robustness of D-flip-flops (DFFs) used in Readout Circuit of Infrared-sensors developed by Sofradir. SEL cross sections are presented by the mean of the Monte Carlo tool MUSCA SEP3 in order to validate the new latchup modeling approach. [ABSTRACT FROM AUTHOR]

The design methodology based on standard cells is widely used in a broad range of very-large-scale integration (VLSI) applications. Furthermore, several optimization algorithms can be employed to address different constraints such as power consumption or reliability. This paper evaluates the implications of the usage of complex logic cells from a 45-nm standard-cell library to the single-event transient (SET) sensitivity under heavy ions. Results show that even though a reduction in the layout area is obtained when adopting complex logic gates, a slight reduction in the total sensitive area of the circuit is observed. Moreover, the effectiveness of the logical masking can be suppressed, leading to a higher SET cross section for high particle linear energy transfer (LET). [ABSTRACT FROM AUTHOR]

Metallic magnetic calorimeters (MMCs) are highly linear cryogenic detectors that offer an excellent energy resolution, a signal rise time of <100 ns, and a high dynamic range. MMCs are of high interest for many experiments. One of them, i.e., the Electron Capture (EC) in 163Ho (ECHo) experiment, requires the utilization of large MMC detector arrays. The readout of such MMC arrays is a challenging task, which can be tackled using software-defined radios (SDRs). Although SDR is a well-known approach in communications engineering, a dedicated implementation for frequency division multiplexed readout of MMCs is new and one of the technological key elements of the ECHo project. ECHo will be the first experiment to use microwave superconducting quantum interference device (SQUID) multiplexed MMC detectors, and therefore, pioneering the hardware, firmware, and software development in this domain. This paper presents the detailed concepts and current status of the development. [ABSTRACT FROM AUTHOR]

The small animal positron emission tomography (PET) is dedicated to small animal imaging, which requires high position and energy precision, as well as good flexibility and efficiency of the electronics. This paper presents the design of a digital signal processing logic for a marmoset brain PET system based on lutetium-yttrium oxyorthosilicate (LYSO) crystal arrays, SiPMs, and the resistive network readout method. We implement 32-channel signal processing in a single Xilinx Artix-7 Field-Programmable Gate Array (FPGA). The logic is designed to support four online modes which are regular data processing mode, flood map construction mode, energy spectrum construction mode, and raw data mode. Several functions are integrated, including 2-D) raw position calculation, crystal locating, events filtering, and synchronization detection. Furthermore, a series of online corrections is also integrated, such as photon peak correction to 511 keV and time measurement result correction with crystal granularity. A gigabit ethernet interface is utilized for data transfer, look-up tables (LUTs) configuration, and command issuing. The pipeline logic works at 125 MHz with a signal processing capability beyond the required data rate of 1 000 000 events/s/channel. A series of initial tests is conducted. The results indicate that the logic design meets the application requirement. [ABSTRACT FROM AUTHOR]

The Influence sur les Composants Avancés des Radiations de l’Espace-Nouvelle Génération (ICARE-NG) instrument onboard the Argentinian satellite Satelite de Aplicaciones Cientificas-D (SAC-D) detected much more protons during descending orbits (when latitude decreases) than for ascending orbits (increasing latitudes). In this paper, we will investigate the anisotropy seen by ICARE-NG Head-A for protons in the coincidence mode from Monte Carlo simulations performed with GEANT4. Our simulations show that the difference in the fluxes observed during ascending and descending orbits comes from the fact that the instrument observed trapped protons or not on each point of the orbits as a result of the instrument and satellite orientations. In addition, we show in this paper that the measurements performed by ICARE-NG can be used in conjunction with our GEANT4 simulations to study the anisotropy of trapped protons, i.e., their distribution relative to their equatorial pitch angle. [ABSTRACT FROM AUTHOR]

Photovoltaic cells are detrimentally impacted by exposure to ionizing radiation, a consideration of particular significance for applications in outer space. In this paper, we demonstrate that vertical epitaxial heterostructure architecture (VEHSA) laser power converters are particularly resilient toward radiation-induced degradation; in particular, we observed reductions in efficiency of 1.9% and 6.4% for 5- and 20-junction monolithic devices, respectively, at near 3 W of input power ($V_{\textrm {oc}}$ of 5.78 and 23.32 V and peak response near 850 nm). This contrasts markedly with the 16.9% and 25.4% reductions in efficiency for the same 5- and 20-junction devices when using a detuned source at 808 nm, which we attribute to a reduction in nonradiative recombination lifetimes leading to a suppression of radiative recombination driven photon recycling. [ABSTRACT FROM AUTHOR]

The safe operation of the European Organization for Nuclear Research Large Hadron Collider relies on a complex system for equipment protection. An essential part of machine protection is the collimation system since it is used to protect the equipment from beam losses. This is achieved by using two jaws to intercept the particles making up the beam halo. Since the jaws are in close proximity to the beam, they must be positioned with micrometer precision from it. An ironless inductive position sensor (I2PS) is a relatively new linear position sensor used to measure the distance of the jaws with respect to the beam. During the operation, it is noted that the position read by the I2PS could be affected by temperature variation causing position-reading errors. This paper presents an experimental study conducted on the I2PS to determine the relationship between the position read by this transducer and the ambient temperature. Furthermore, this paper aims at determining the impact of the temperature changes in the collimator body, on which the I2PS is installed, and the position read by the sensor. The results show that the uneven thermal distribution along the body of the sensor leads to high position readings error. These results also show that, depending on the moving coil position, the sensor behaves differently, and hence, it is very difficult to compensate for the effect. Finally, this paper presents the results of a possible modification tested on the same setup to reduce the thermal effects. [ABSTRACT FROM AUTHOR]

Commercial off-the-shelf microcontrollers can be useful for noncritical processing on spaceborne platforms. These microprocessors can be inexpensive and consume small amounts of power. However, the software running on these processors is vulnerable to radiation upsets. In this paper, we present a fully automated, configurable, software-based tool to increase the reliability of microprocessors in high-radiation environments. This tool consists of a set of open-source LLVM compiler passes to automatically implement software-based mitigation techniques. We duplicate or triplicate computations and insert voting mechanisms into software during the compilation process, allowing for runtime error correction. While the techniques we implement are not novel, previous work has typically been closed source, processor architecture dependent, not automated, and not tested in real high-radiation environments. In contrast, the compiler passes presented in this paper are publicly available, highly customizable, and are platform independent and language independent. We have tested our modified software using both fault injection and through neutron beam radiation on a Texas Instruments MSP430 microcontroller. When tested by a neutron beam, we were able to decrease the cross section of programs by $17-29\times $ , increasing mean-work-to-failure by $4-7\times $. [ABSTRACT FROM AUTHOR]

Neutron-induced single event upsets (SEUs) have become a significant reliability concern for advanced electronics. Ever-shrinking device sizes and the introduction of new elements in state-of-the-art integrated circuits (ICs) have increased device neutron SEU susceptibility. Various elements found in ICs each have a role in producing SEUs from low-energy neutrons (sub-10 MeV). This paper explores the role these elements play in a case study of a state-of-the-art 3-D NAND flash. [ABSTRACT FROM AUTHOR]

This paper presents a modeling approach of single-event functional interrupt (SEFI) which takes into account all the physical and electrical processes from the radiation particle down to the event at the system level. This paper is focused on the evaluation of SEFI sensitivity by experimental and simulation analyses of a readout integrated circuit (ROIC) designed by Sofradir for their infrared image sensors. Relevant correlations between simulation and experimental results of SEFI cross sections for heavy ions are presented and discussed. The simulation results confirm the strong SEFI robustness of the ROIC at 57 K. [ABSTRACT FROM AUTHOR]

It is a long-standing tradition of the IEEE Nuclear and Space Radiation Effects Conference (NSREC) to recognize the Outstanding Conference Paper, the Outstanding Data Workshop Presentation, and the best article presented and first-authored by an IEEE Student Member. In addition to recognizing authors for particularly high quality and relevant work, the awards process encourages all authors to produce presentations and manuscripts of high technical quality, clarity of presentation, and significance to the community. [ABSTRACT FROM AUTHOR]

The article reports on the 2009 Outstanding Conference Paper Award that was given to IEEE Nuclear and Space Radiation Effects Conference (NSREC) in Canada. The conference paper on radiation effects comprises upset cross-section obtained from accelerated testing with the use of both protons and ions. The paper also focuses on the understanding a diverse range of single event effects. In addition, test shows that upset cross-sections-per-bit was similar for both ions and proton.

The article presents an introduction to the 2014 special Nuclear and Space Radiation Effects Conference (NSREC) issue of the "IEEE Transactions on Nuclear Science" journal for December 2014 that features articles presented at the conference and reviewed by an editorial board such as Senior Editor for Radiation Effects Dan Fleetwood, Associate Editor Sylvain Girard, and Associate Editor Heather Quinn.

An index of authors of conference papers presented during the 2015 IEEE Nuclear and Space Radiation Effects Conference (NSREC) is presented.

This paper considers structure learning from data with $n$ samples of $p$ variables, assuming that the structure is a forest, using the Chow–Liu algorithm. Specifically, for incomplete data, we construct two model selection algorithms that complete in $O(p^{2})$ steps: one obtains a forest with the maximum posterior probability given the data and the other obtains a forest that converges to the true one as $n$ increases. We show that the two forests are generally different when some values are missing. In addition, we present estimations for benchmark data sets to demonstrate that both algorithms work in realistic situations. Moreover, we derive the conditional entropy provided that no value is missing, and we evaluate the per-sample expected redundancy for the universal coding of incomplete data in terms of the number of non-missing samples. [ABSTRACT FROM AUTHOR]

Approximate message passing (AMP) refers to a class of efficient algorithms for statistical estimation in high-dimensional problems such as compressed sensing and low-rank matrix estimation. This paper analyzes the performance of AMP in the regime where the problem dimension is large but finite. For concreteness, we consider the setting of high-dimensional regression, where the goal is to estimate a high-dimensional vector $\beta _{0}$ from a noisy measurement $y=A \beta _{0} + w$. AMP is a low-complexity, scalable algorithm for this problem. Under suitable assumptions on the measurement matrix $A$ , AMP has the attractive feature that its performance can be accurately characterized in the large system limit by a simple scalar iteration called state evolution. Previous proofs of the validity of state evolution have all been asymptotic convergence results. In this paper, we derive a concentration inequality for AMP with Gaussian matrices with independent and identically distributed (i.i.d.) entries and finite dimension $n \times N$. The result shows that the probability of deviation from the state evolution prediction falls exponentially in $n$. This provides theoretical support for empirical findings that have demonstrated excellent agreement of AMP performance with state evolution predictions for moderately large dimensions. The concentration inequality also indicates that the number of AMP iterations $t$ can grow no faster than order $({\log n}/{\log \log n})$ for the performance to be close to the state evolution predictions with high probability. The analysis can be extended to obtain similar non-asymptotic results for AMP in other settings such as low-rank matrix estimation. [ABSTRACT FROM AUTHOR]

The ITER plasma position reflectometry system will be used to estimate the distance between the position of the magnetic separatrix and the first wall at four predefined locations, complementing the magnetic diagnostics system. The antennas of the system studied in this paper are to be installed between the blanket shield modules of rows 3 and 4, on the high-field side of the tokamak. As the antennas and part of the corresponding waveguides will be directly exposed to the plasma, they will be subjected to high radiation doses from neutrons and gammas, which may cause irradiation-induced changes in the material properties and compromise the integrity of the components. In this paper, the Monte Carlo simulation code MCNP6 and the most up-to-date ITER reference neutronics model were used to estimate the thermal loads in the system. The results, complemented with a finite-element analysis performed with ANSYS Mechanical, show that the nuclear heat loads, combined with the thermal radiation coming from the plasma, translate into operation temperatures that reach 480 °C at the tips of the antennas, slightly above the maximum recommended temperature of operation of stainless steel for ITER in-vessel components under irradiation (450 °C). Further, thermal analyses and design iterations are therefore required to improve the thermal and mechanical behavior of the system. [ABSTRACT FROM AUTHOR]

This paper describes a recent effort to develop and benchmark a simulation tool for the analysis of radio frequency (RF) transients and their compensation in an H-linear accelerator. Existing tools in this area either focus on electron linear accelerators (LINACs) or lack fundamental details about the low level radio frequency system that are necessary to provide realistic performance estimates. In this paper, we begin with a discussion of our computational models followed by benchmarking with existing beam-dynamics codes and measured data. We then analyze the effect of RF transients and their compensation in the Proton Improvement Plan-II LINAC, followed by an analysis of calibration errors and how Newton’s method-based feedback scheme can be used to regulate the beam energy to within the specified limits. [ABSTRACT FROM AUTHOR]

This paper presents the Czochralski growth of SrI2:Eu scintillation crystals. SrI2:Eu is one among the brightest recently discovered scintillators with an excellent energy resolution for spectroscopic identification of radioactive isotopes. The Czochralski crystal growth method is optimal from the point of scaling up of crystal production with minimal investment into upgrade of crystal growth equipment. In this paper, SrI2:Eu crystals with the diameter of up to 50 mm were produced by the developed process based on the Czochralski method. The crystals are prone to cracking, and thermal fields in the crystallizer still should be optimized. Nevertheless, the scintillation parameters of detectors cut from the grown crystals are similar to that in detectors fabricated by the conventional Bridgman–Stockbarger technology. The Eu2+ activator concentration across the crystals is uniform within 5%, as well as the energy resolution, which ranges within 3.6% ± 0.1% at 662 keV. Also, the decay times under X-rays and nonproportionality of scintillation light yield on excitation energy in the range of 31–1274 keV have been determined. [ABSTRACT FROM AUTHOR]

Presents information on the recipients of the 2002 Nuclear and Space Radiation Effects Conference Outstanding Conference Paper Award. Marty R. Shaneyfelt; Cathleen A. Reber; Daniel M. Fleetwood.

Presents the recipients of the 2001 Institute of Electrical and Electronics Engineers Nuclear and Space Radiation Effects Conference Outstanding Conference Paper Award. Paul E. Dodd; Marty R. Shaneyfelt; Kevin Horn; David S. Walsh.

The 58th IEEE Nuclear and Space Radiation Effects Conference (NSREC) was held July 16–23, 2021. For the second consecutive year, the conference was conducted virtually, featuring live online interactions between conference attendees and recorded content from presenters. The live portions of the conference were held from July 19 to July 23, after which content was made available for attendees on-demand. Despite these circumstances, the conference was a great success. The 2021 NSREC was attended by 647 engineers, scientists, managers, students, and exhibitors. International participation was also quite strong, with 142 non-U.S. attendees from Australia, Austria, Belgium, Brazil, Canada, China, Finland, France, Germany, Greece, Hong Kong, India, Israel, Italy, Japan, Korea, the Netherlands, Russia, Serbia, South Korea, Spain, Sweden, Switzerland, and the United Kingdom. [ABSTRACT FROM AUTHOR]