AI Article Synopsis
- Scientists have been using a special tool called a Compton continuum suppression gamma-ray spectrometer to detect tiny amounts of radioactive materials for many years.
- However, this tool has a problem when trying to measure certain types of radioactive emissions that happen in cascades, which makes it less effective in environmental samples.
- New software and methods have been developed to fix this problem, allowing for better detection of radioactive materials while keeping the original improvements, showing nearly perfect results in testing.
Article Abstract
To achieve low detection limits for radionuclide analysis, Compton continuum suppression gamma-ray spectrometer has been used for several decades. The most serious disadvantage arises when radionuclides measured have cascade gamma emissions. This is a major limitation of the technique in environmental sample analysis. The digital list-mode data acquisition techniques in conjunction with time stamped pulse analysis method presented in this paper recovers the undesired full-energy-peak (FEP) coincidence losses for cascade radionuclides while retains suppression of true Compton events to keep the improved detection limit, thus extending the usefulness of the anti-Compton spectroscopy. In this study, software are developed to analyse the radionuclides with a relative simple decay scheme, such as Na, Co and Y, and a complex decay scheme, such as b, Cs, Eu and Eu. The results indicated that in the reconstruct anticoincidence spectra the FEP restoration efficiency, both for minor and major peaks, is near 100%.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.apradiso.2019.03.017 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Rapid-Scan Fourier Transform Infrared Difference Spectroscopy with Two-Dimensional Correlation Analysis to Show the Build-Up of Light-Adapted States in Bacterial Photosynthetic Reaction Centers.
Appl Spectrosc
January 2025
Department of Materials Science and Engineering, University of Delaware, Newark, DE, USA.
Time-resolved, rapid-scan Fourier transform infrared (FT-IR) difference spectra have been recorded upon illumination on photosynthetic reaction centers (RCs) from under fixed hydration conditions (relative humidity = 76%). Two different illumination schemes were adopted. Whereas the use of a laser flash (duration: 7 ns) made it possible to follow the kinetics of recombination of the light-induced state PQ to the neutral state PQ, the use of a 20.
View Article and Find Full Text PDFSelf-supervised learning of scale-invariant neural representations of space and time.
J Comput Neurosci
January 2025
Program in Neuroscience, Indiana University Bloomington, Bloomington, IN, USA.
Hippocampal representations of space and time seem to share a common coding scheme characterized by neurons with bell-shaped tuning curves called place and time cells. The properties of the tuning curves are consistent with Weber's law, such that, in the absence of visual inputs, width scales with the peak time for time cells and with distance for place cells. Building on earlier computational work, we examined how neurons with such properties can emerge through self-supervised learning.
View Article and Find Full Text PDFAn integrated multiphase dynamic genome-scale model explains batch fermentations led by species of the genus.
mSystems
January 2025
Biosystems and Bioprocess Engineering, IIM-CSIC, Vigo, Spain.
During batch fermentation, a variety of compounds are synthesized, as microorganisms undergo distinct growth phases: lag, exponential, growth-no-growth transition, stationary, and decay. A detailed understanding of the metabolic pathways involved in these phases is crucial for optimizing the production of target compounds. Dynamic flux balance analysis (dFBA) offers insight into the dynamics of metabolic pathways.
View Article and Find Full Text PDFConvergent-Diffusion Denoising Model for multi-scenario CT Image Reconstruction.
Comput Med Imaging Graph
January 2025
The Department of Computer and Data Science, Case Western Reserve University, Cleveland, OH, USA; The Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
A generic and versatile CT Image Reconstruction (CTIR) scheme can efficiently mitigate imaging noise resulting from inherent physical limitations, substantially bolstering the dependability of CT imaging diagnostics across a wider spectrum of patient cases. Current CTIR techniques often concentrate on distinct areas such as Low-Dose CT denoising (LDCTD), Sparse-View CT reconstruction (SVCTR), and Metal Artifact Reduction (MAR). Nevertheless, due to the intricate nature of multi-scenario CTIR, these techniques frequently narrow their focus to specific tasks, resulting in limited generalization capabilities for diverse scenarios.
View Article and Find Full Text PDFEnhancing Initial State Overlap through Orbital Optimization for Faster Molecular Electronic Ground-State Energy Estimation.
Phys Rev Lett
December 2024
Quantum Lab, Boehringer Ingelheim, 55218 Ingelheim am Rhein, Germany.
The phase estimation algorithm is crucial for computing the ground-state energy of a molecular electronic Hamiltonian on a quantum computer. Its efficiency depends on the overlap between the Hamiltonian's ground state and an initial state, which tends to decay exponentially with system size. We showcase a practical orbital optimization scheme to alleviate this issue.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!