Sonochemical Synthesis of CoFe2-xNdxO4 Nanoparticles: Structural, Optical, and Magnetic Investigation

This investigation deals with CoFe2-xNdxO4 (x ? 0.2) nanoparticles (NPs) fabricated by sonochemically. The purity of all products was verified via X-ray powder diffraction. The crystallite size of the samples was calculated as less 12 nm. The spectral analyses also confirmed the presence of spinel ferrites. Both morphology and chemical purity of the spinel ferrite systems were confirmed by SEM, EDX, and elemental mapping analyses. The analyses of magnetization versus applied magnetic field, M(H), were performed. The following magnetic parameters like saturation magnetization Ms, squareness ratio (SQR = Mr / Ms), magnetic moment nB, coercivity Hc, and remanence Mr have been evaluated. The M(H) curves revealed the soft ferromagnetic nature for all CoFe2-xNdxO4 NPs. It is showed that the Nd3+ substitutions significantly affect the magnetization data. A decreasing trend in the Hc, Ms, nB, and Mr values was detected with Nd3+ substitution. © 2019, Springer Science+Business Media, LLC, part of Springer Nature

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A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution

We describe a method to obtain point and dispersion estimates for the energies of jets arising from b quarks produced in proton–proton collisions at an energy of s=13TeV at the CERN LHC. The algorithm is trained on a large sample of simulated b jets and validated on data recorded by the CMS detector in 2017 corresponding to an integrated luminosity of 41 fb-1. A multivariate regression algorithm based on a deep feed-forward neural network employs jet composition and shape information, and the properties of reconstructed secondary vertices associated with the jet. The results of the algorithm are used to improve the sensitivity of analyses that make use of b jets in the final state, such as the observation of Higgs boson decay to b b ¯. © 2020, The Author(s)

Search for physics beyond the standard model in events with jets and two same-sign or at least three charged leptons in proton-proton collisions at √s=13TeV

A data sample of events from proton-proton collisions with at least two jets, and two isolated same-sign or three or more charged leptons, is studied in a search for signatures of new physics phenomena. The data correspond to an integrated luminosity of 137fb-1 at a center-of-mass energy of 13TeV, collected in 2016–2018 by the CMS experiment at the LHC. The search is performed using a total of 168 signal regions defined using several kinematic variables. The properties of the events are found to be consistent with the expectations from standard model processes. Exclusion limits at 95% confidence level are set on cross sections for the pair production of gluinos or squarks for various decay scenarios in the context of supersymmetric models conserving or violating R parity. The observed lower mass limits are as large as 2.1TeV for gluinos and 0.9TeV for top and bottom squarks. To facilitate reinterpretations, model-independent limits are provided in a set of simplified signal regions. © 2020, CERN for the benefit of the CMS collaboration