Publications by authors named "V Y Panin"
The neutron-rich unbound fluorine isotope ^{30}F_{21} has been observed for the first time by measuring its neutron decay at the SAMURAI spectrometer (RIBF, RIKEN) in the quasifree proton knockout reaction of ^{31}Ne nuclei at 235 MeV/nucleon. The mass and thus one-neutron-separation energy of ^{30}F has been determined to be S_{n}=-472±58(stat)±33(sys) keV from the measurement of its invariant-mass spectrum. The absence of a sharp drop in S_{n}(^{30}F) shows that the "magic" N=20 shell gap is not restored close to ^{28}O, which is in agreement with our shell-model calculations that predict a near degeneracy between the neutron d and fp orbitals, with the 1p_{3/2} and 1p_{1/2} orbitals becoming more bound than the 0f_{7/2} one.
View Article and Find Full Text PDFNuclear structure opportunities with GeV radioactive beams at FAIR.
Philos Trans A Math Phys Eng Sci
July 2024
Article Synopsis
- The Facility for Antiproton and Ion Research (FAIR) is nearing completion in Darmstadt, Germany, and will serve as Europe's main nuclear physics research center for decades.
- It features the Super-FRagment Separator, capable of producing high-intensity radioactive ion beams for a variety of nuclear reactions, enabling studies from low-energy physics to high-density nuclear matter.
- The article highlights potential research opportunities and physics cases at FAIR, focusing on the impact of newly developed relativistic radioactive beam reactions on nuclear structure investigations.
Incorrect scatter scaling of positron emission tomography (PET) images can lead to halo artifacts, quantitative bias, or reconstruction failure. Tail-fitted scatter scaling (TFSS) possesses performance limitations in multiple cases. This study aims to investigate a novel method for scatter scaling: maximum-likelihood scatter scaling (MLSS) in scenarios where TFSS tends to induce artifacts or are observed to cause reconstruction abortion.
View Article and Find Full Text PDFArticle Synopsis
- - The study focuses on enhancing the quality of dynamic PET images by reducing noise, which often leads to inaccuracies in parametric images.
- - A new denoising technique called Population-based Deep Image Prior (PDIP) is proposed, incorporating information from a large dataset of static PET images to improve noise reduction without losing important details like small lesions.
- - PDIP outperforms traditional models (Prompts-matched Supervised model and conditional DIP) in maintaining the accuracy of lesion predictions (K values), demonstrating its effectiveness in handling the complexities of dynamic PET imaging.
Improving the nutritional value of grain sorghum, a drought- and heat-tolerant grain crop, is an important task in the context of global warming. One of the reasons for the low nutritional value of sorghum grain is the resistance of its storage proteins (kafirins) to proteolytic digestion, which is due, among other things, to the structural organization of protein bodies, in which γ-kafirin, the most resistant to proteases, is located on the periphery, encapsulating more easily digested α-kafirins. The introduction of genetic constructs capable of inducing RNA silencing of the γ-kafirin (gKAF1) gene opens up prospects for solving this problem.
View Article and Find Full Text PDF