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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.04568 |
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| _version_ | 1866917887231393792 |
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| author | Neuhaus, James Nichols, Nathan S. Banerjee, Debshikha Cohen-Stead, Benjamin Maier, Thomas A. Del Maestro, Adrian Johnston, Steven |
| author_facet | Neuhaus, James Nichols, Nathan S. Banerjee, Debshikha Cohen-Stead, Benjamin Maier, Thomas A. Del Maestro, Adrian Johnston, Steven |
| contents | 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. 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/. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_04568 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | SmoQyDEAC.jl: A differential evolution package for the analytic continuation of imaginary time correlation functions Neuhaus, James Nichols, Nathan S. Banerjee, Debshikha Cohen-Stead, Benjamin Maier, Thomas A. Del Maestro, Adrian Johnston, Steven Statistical Mechanics 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. 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/. |
| title | SmoQyDEAC.jl: A differential evolution package for the analytic continuation of imaginary time correlation functions |
| topic | Statistical Mechanics |
| url | https://arxiv.org/abs/2407.04568 |