Unmasking Hidden Magnetism with Kondo Impurities
![The study of the two-impurity Kondo model examines the Fermi surface of an underlying Anderson metal-specifically, a system where [latex] t^{\prime} = 0.4 [/latex]-to understand the complex interactions arising from localized magnetic moments within a conductive host.](https://arxiv.org/html/2601.07138v1/x1.png)
New research utilizes spin-resolved scanning tunneling microscopy and quantum Monte Carlo simulations to probe the subtle interplay between Kondo effects and unconventional altermagnetic states.
![The study of the two-impurity Kondo model examines the Fermi surface of an underlying Anderson metal-specifically, a system where [latex] t^{\prime} = 0.4 [/latex]-to understand the complex interactions arising from localized magnetic moments within a conductive host.](https://arxiv.org/html/2601.07138v1/x1.png)
New research utilizes spin-resolved scanning tunneling microscopy and quantum Monte Carlo simulations to probe the subtle interplay between Kondo effects and unconventional altermagnetic states.
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![The study establishes exclusion limits on the signal strength μ-defined as the ratio of signal to theoretical prediction-across a range of hypothetical dark matter mediator masses ([latex]m_{Z^{\prime}}[/latex]) and dark matter particle masses ([latex]m_{\chi}[/latex]) within a modified Higgs doublet model, demonstrating that parameter combinations yielding larger values of μ are increasingly constrained by observed data, with the 95% confidence level boundary defined by the black solid line and expected boundaries indicated by dashed and dotted lines.](https://arxiv.org/html/2601.06284v1/x11.png)
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![The PIENU experiment predicts the expected detection rate of [latex]\pi^{+}\to\mu^{+}\nu_{\mu}X[/latex] decays as a function of muon kinetic energy, demonstrating how varying the mass of the undetected particle <i>X</i> impacts signal prediction, with analyses at both low and high energies-corresponding to branching ratios of [latex]3\times 10^{-5}[/latex] and [latex]6\times 10^{-5}[/latex]-yielding results consistent with previously extracted residuals.](https://arxiv.org/html/2601.06254v1/x27.png)
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![Analysis of astrophysical data - incorporating gravitational-wave observations, maximum-mass constraints, and NICER results - refines prior estimates derived from nucleon-nucleon scattering, yielding updated posterior distributions for the six spectral LECs governing neutron matter, and further projecting anticipated sensitivities achievable with third-generation detectors for symmetric binary systems with component masses of [latex]1.0\,M_{\odot}[/latex] and [latex]1.4\,M_{\odot}[/latex].](https://arxiv.org/html/2601.05999v1/d7_current_injection.png)
New research leverages neutron star observations and machine learning to refine our understanding of the fundamental interactions governing matter at extreme densities.
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