Codebase release r1.1 for SmoQyDEAC.jl
James Neuhaus, Nathan S. Nichols, Debshikha Banerjee, Benjamin Cohen-Stead, Thomas A. Maier, Adrian Del Maestro, Steven Johnston
SciPost Phys. Codebases 39-r1.1 (2024) · published 12 November 2024
- doi: 10.21468/SciPostPhysCodeb.39-r1.1
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| DOI | Type | |
|---|---|---|
| 10.21468/SciPostPhysCodeb.39 | Article | |
| 10.21468/SciPostPhysCodeb.39-r1.1 | Codebase release |
Abstract
We introduce the SmoQyDEAC.jl package, a Julia implementation of the Differential Evolution Analytic Continuation (DEAC) algorithm [N. S. Nichols et al., Phys. Rev. E 106, 025312 (2022)] for analytically continuing noisy imaginary time correlation functions to the real frequency axis. Our implementation supports fermionic and bosonic correlation functions on either the imaginary time or Matsubara frequency axes, and treatment of the covariance error in the input data. This paper presents an overview of the DEAC algorithm and the features implemented in the SmoQyDEAC.jl package. It also provides detailed benchmarks of the package's output against the popular maximum entropy and stochastic analytic continuation methods. The code for this package can be downloaded from our GitHub repository at https://github.com/SmoQySuite/SmoQyDEAC.jl or installed using the Julia package manager. The online documentation, including examples, can be accessed at https://smoqysuite.github.io/SmoQyDEAC.jl/stable/.
Authors / Affiliations: mappings to Contributors and Organizations
See all Organizations.- 1 James Neuhaus,
- 2 Nathan S. Nichols,
- 1 Debshikha Banerjee,
- 1 Benjamin Cohen-Stead,
- 3 Thomas Maier,
- 1 Adrian Del Maestro,
- 1 Steven Johnston
- 1 University of Tennessee at Knoxville [UTK]
- 2 Argonne National Laboratory [ANL]
- 3 Oak Ridge National Laboratory [ORNL]