TY  - JOUR
PB  - SciPost Foundation
DO  - 10.21468/SciPostPhysCodeb.19-r1.0
TI  - Codebase release 1.0 for Nevanlinna.jl
PY  - 2023/11/13
UR  - https://scipost.org/SciPostPhysCodeb.19-r1.0
JF  - SciPost Physics Codebases
JA  - SciPost Phys. Codebases
SP  - 19-r1.0
A1  - Nogaki, Kosuke
AU  - Fei, Jiani
AU  - Gull, Emanuel
AU  - Shinaoka, Hiroshi
AB  - We introduce a Julia implementation of the recently proposed Nevanlinna analytic continuation method. The method is based on Nevanlinna interpolants and inherently preserves the causality of a response function due to its construction. For theoretical calculations without statistical noise, this continuation method is a powerful tool to extract real-frequency information from numerical input data on the Matsubara axis. This method has been applied to first-principles calculations of correlated materials. This paper presents its efficient and full-featured open-source implementation of the method including the Hamburger moment problem and smoothing.
ER  -

@Article{10.21468/SciPostPhysCodeb.19,
	title={{Nevanlinna.jl: A Julia implementation of Nevanlinna analytic continuation}},
	author={Kosuke Nogaki and Jiani Fei and Emanuel Gull and Hiroshi Shinaoka},
	journal={SciPost Phys. Codebases},
	pages={19},
	year={2023},
	publisher={SciPost},
	doi={10.21468/SciPostPhysCodeb.19},
	url={https://scipost.org/10.21468/SciPostPhysCodeb.19},
}

@Article{10.21468/SciPostPhysCodeb.19-r1.0,
	title={{Codebase release 1.0 for Nevanlinna.jl}},
	author={Kosuke Nogaki and Jiani Fei and Emanuel Gull and Hiroshi Shinaoka},
	journal={SciPost Phys. Codebases},
	pages={19-r1.0},
	year={2023},
	publisher={SciPost},
	doi={10.21468/SciPostPhysCodeb.19-r1.0},
	url={https://scipost.org/10.21468/SciPostPhysCodeb.19-r1.0},
}