We present a formulation of the quantum kinetic equations (QKEs), which govern evolution neutrino flavor at high density and temperature. Here, structure QKEs is derived from ground up, using fundamental interactions field theory. show that resulting describe coherent with an effective mass when inelastic scattering negligible. The also contain collision term. This term can reduce to in Boltzmann equation dominant masses matrices become diagonal interaction basis. find include motion for new...

We calculate the evolution of early universe through epochs weak decoupling, freeze-out and big bang nucleosynthesis (BBN) by simultaneously coupling a full strong, electromagnetic, nuclear reaction network with multi-energy group Boltzmann neutrino energy transport scheme. The modular structure our code provides ability to dissect relative contributions each process responsible for evolving dynamics in absence flavor oscillations. Such an approach allows detailed accounting $\nu_e$,...

Neutrinos play a critical role of transporting energy and changing the lepton density within core-collapse supernovae neutron star mergers. The quantum kinetic equations (QKEs) combine effects neutrino-matter interactions treated in classical Boltzmann transport with neutrino flavor-changing oscillation calculations. We present method for extending existing interaction rates to full QKE source terms use numerical demonstrate absorption emission by nucleons nuclei, electron scattering,...

We argue that the small fraction of neutrinos undergo direction-changing scattering outside neutrinosphere could have significant influence on neutrino flavor transformation in core-collapse supernova environments. show standard treatment for collective is adequate at late times but be inadequate early epochs supernovae, where potentials govern evolution are affected by scattered neutrinos. Taking account this effect, and way it couples to entropy composition, will require a new approach modeling.

We give the first self-consistent calculation of effect scattered neutrino halo on flavor evolution in supernovae. Our example case is an O-Ne-Mg core collapse supernova neutronization burst. find that addition neutrinos produces qualitative and quantitative changes final states neutrinos. also produce a novel distortion swap. results provide strong motivation for tackling full multidimensional composition-dependent aspects this problem future.

Recent studies have demonstrated that in anisotropic environments a coherent spin-flip term arises the Quantum Kinetic Equations (QKEs) which govern evolution of neutrino flavor and spin hot dense media. This can mediate neutrino–antineutrino transformation for Majorana neutrinos active-sterile Dirac neutrinos. We discuss physical origin provide explicit expressions QKEs two-flavor model with spherical geometry. In this context, we demonstrate depends on absolute mass phases.

The article discusses the application of XSLT (Extensible Stylesheet Language Transformations) – an advanced data transformation technology for analyzing tax changes. is a programming language used to transform XML documents into various formats and powerful tool manipulation report generation. authors discuss role in analysis, emphasizing its ability flexible filtering, aggregation, creation based on structures. also analyzes impact changes legislation business strategies demonstrates how...

Simulations of neutrino flavor evolution in compact merger environments have shown that flavor, and hence nucleosynthesis, can be strongly affected by the presence matter-neutrino resonances (MNRs), where there is a cancelation between matter potential. performed thus far follow along single trajectory, but self-consistency requires all trajectories to treated simultaneously, it has not been known whether MNR phenomena would still occur multi-angle models. In this paper, we present first...

We examine whether the newly derived neutrino spin coherence could lead to large-scale coherent neutrino-antineutrino conversion. In a linear analysis we find that such transformation is largely suppressed, but demonstrate nonlinear feedback can enhance it. point out conditions which favor this may exist in core collapse supernovae and binary neutron star mergers.

Views Icon Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Twitter Facebook Reddit LinkedIn Tools Reprints and Permissions Cite Search Site Citation Elena Smolina, Olga Patsuk, Kozlovskaya, Alexey Vlasenko, Irina Kleshnina; Artificial neural networks in the space industry. AIP Conf. Proc. 29 March 2024; 3021 (1): 020002. https://doi.org/10.1063/5.0193415 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks...

The issues of analysis and image recognition in intelligent systems computer vision were discussed. Based on Kohonen network, there was proposed technology self-recognition for the system structural visual objects. As a result, transformation descriptions to vector format takes place, which reduces computational cost. results experiments are shown. Tabl.: 5. Fig.: 4. Refs: 7 titles.

Recent studies have demonstrated that in anisotropic environments a coherent spin-flip term arises the Quantum Kinetic Equations (QKEs) which govern evolution of neutrino flavor and spin hot dense media. This can mediate neutrino-antineutrino transformation for Majorana neutrinos active-sterile Dirac neutrinos. We discuss physical origin provide explicit expressions QKEs two-flavor model with spherical geometry. In this context, we demonstrate depends on absolute mass phases.

We introduce a new computational capability that moves toward self-consistent calculation of neutrino transport and nuclear reactions for big bang nucleosynthesis (BBN). Such approach is needed to be able extract detailed information about physics beyond the standard model from precision cosmological observations primordial nuclides cosmic microwave background radiation. calculate evolution early universe through epochs weak decoupling, freeze-out (BBN) by simultaneously coupling full...

Abstract Background: HER2 amplification and activation occurs in approximately 15~25% of all breast cancers is further indicated other cancer types with high un-met medical needs, such as cholangiocarcinoma, ovarian esophageal cancer. Further improvement current targeting therapeutics on safety efficacy remains to be desired. Deep learning - based computational approach, AlphaFold, has been successfully applied the understanding protein structure. However, its applications therapeutic design...