Abstract
We study the impact of next-nearest-neighbor (NNN) hopping on the low-energy collective excitations of strongly correlated doped antiferromagnetic cuprate spin chains. Specifically, we use exact diagonalization and the density matrix renormalization group method to study the single-particle spectral function, the dynamical spin and charge structure factors, and the Cu L-edge resonant inelastic X-ray scattering (RIXS) intensity of the doped t-t′-J model for a set of t′ values. We find evidence that the spin and charge degrees of freedom of the doped holes are not strictly separated anymore as |t′| increases and identify the consequences of this in the dynamical response functions. The inclusion of NNN hopping couples the spinon and holon excitations, resulting in the formation of a spin polaron, where a ferromagnetic spin-polarization cloud dresses the doped carrier. The spin polaron manifests itself as additional spectral weight in the dynamical correlation functions, which appear simultaneously in the spin-and charge-sensitive channels. We also demonstrate that RIXS can provide a unique view of the spin polaron, due to its sensitivity to both the spin and charge degrees of freedom.
| Original language | English |
|---|---|
| Article number | 075134 |
| Journal | Physical Review B |
| Volume | 102 |
| Issue number | 7 |
| DOIs | |
| State | Published - Aug 15 2020 |
| Externally published | Yes |
Funding
U.K. acknowledges partial support from U. S. DOE NNSA under Contract No. 89233218CNA000001 through the LDRD Program. A.N. acknowledges support from the Canada First Research Excellence Fund. G.P. and K.S. acknowledge funding support from 2018 Augusta University CURS summer scholars program. S.J. acknowledges support from the National Science Foundation under Grant No. DMR-1842056. T.D. acknowledges funding support from Augusta University Scholarly Activity Award and Sun Yat-Sen University Grant No. OEMT-2017-KF-06. This work used computational resources supported by the University of Tennessee and Oak Ridge National Laboratory Joint Institute for Computational Sciences, and additional computational resources and services provided by Advanced Research Computing at the University of British Columbia.
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