23,199 research outputs found

    Scaling of Coulomb pseudo-potential in s-wave narrow-band superconductors

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    The Coulomb pseudo-potential μ\mu^* is extracted by fitting the numerically calculated transition temperature TcT_c of the Eliashberg-Nambu equation which is extended to incorporate the narrow-band effects, that is, the vertex correction and the frequency dependence of the screened Coulomb interaction. It is shown that even for narrow-band superconductors, where the fermi energy ϵF \epsilon_F is comparable with the phonon frequency ωph \omega_{ph}, the Coulomb pseudo-potential is a pertinent parameter, and is still given by μ=μ/[1+μln(ϵF/ωph)]\mu^* = \mu/[1+\mu \ln(\epsilon_F/\omega_{ph})] , provided ωph\omega_{ph} is appropriately scaled.Comment: 5 pages, 3 figures, accepted for publication by Phys. Rev.

    Probing Gravitational Lensing of the CMB with SDSS-IV Quasars

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    We study the cross-correlation between the Planck CMB lensing convergence map and the eBOSS quasar overdensity obtained from the Sloan Digital Sky Survey (SDSS) IV, in the redshift range 0.9<z<2.20.9 < z < 2.2. We detect the CMB lensing convergence-quasar cross power spectrum at 5.4σ5.4 \sigma significance. The cross power spectrum provides a quasar clustering bias measurement that is expected to be particularly robust against systematic effects. The redshift distribution of the quasar sample has a median redshift z1.55z \approx 1.55, and an effective redshift about 1.511.51. The best fit bias of the quasar sample is bq=2.43±0.45b_q = 2.43 \pm 0.45, corresponding to a host halo mass of log10(Mh1M)=12.540.36+0.25\log_{10}\left( \frac{M}{h^{-1} M_\odot} \right) = 12.54^{+0.25}_{-0.36}. This is broadly consistent with the previous literature on quasars with a similar redshift range and selection. Since our constraint on the bias comes from the cross-correlation between quasars and CMB lensing, we expect it to be robust to a wide range of possible systematic effects that may contaminate the auto correlation of quasars. We checked for a number of systematic effects from both CMB lensing and quasar overdensity, and found that all systematics are consistent with null within 2σ2 \sigma. The data is not sensitive to a possible scale dependence of the bias at present, but we expect that as the number of quasars increases (in future surveys such as DESI), it is likely that strong constraints on the scale dependence of the bias can be obtained.Comment: 8 pages, 6 figures, 1 table; matches published version on MNRA

    Band Gap Closing in a Synthetic Hall Tube of Neutral Fermions

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    We report the experimental realization of a synthetic three-leg Hall tube with ultracold fermionic atoms in a one-dimensional optical lattice. The legs of the synthetic tube are composed of three hyperfine spin states of the atoms, and the cyclic inter-leg links are generated by two-photon Raman transitions between the spin states, resulting in a uniform gauge flux ϕ\phi penetrating each side plaquette of the tube. Using quench dynamics, we investigate the band structure of the Hall tube system for a commensurate flux ϕ=2π/3\phi=2\pi/3. Momentum-resolved analysis of the quench dynamics reveals that a critical point of band gap closing as one of the inter-leg coupling strengths is varied, which is consistent with a topological phase transition predicted for the Hall tube system.Comment: 8 pages, 8 figure

    Protein transduction: A novel tool for tissue regeneration

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    Tissue regeneration in humans is limited and excludes vitals organs like heart and brain. Transformation experiments with oncogenes like T antigen have shown that retrodifferentiation of the respective cells is possible but hard to control. To bypass the risk of cancer formation a protein therapy approach has been developed. The transient delivery of proteins rather than genes could still induce terminallydifferentiated cells to reenter the cell cycle. This approach takes advantage of proteintransducing domains that mediate the transfer of cargo proteins into cells. The goal of this brief review is to outline the basics of protein transduction and to discuss potential applications for tissue regeneration
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