Work

nifty-ls: Fast and Accurate Lomb–Scargle Periodograms Using a Non-uniform FFT

Year: 2024

Type: article

Abstract: We present nifty-ls , a software package for fast and accurate evaluation of the Lomb–Scargle periodogram. nifty-ls leverages the fact that Lomb–Scargle can be computed using a non-uniform fast Fourier transform (NUFFT), which we evaluate with the Flatiron Institute NUFFT package ( finufft ). This approach achieves a many-fold speedup over the Press & Rybicki method as implemented in Astropy and is simultaneously many orders of magnitude more accurate. nifty-ls also supports fast evaluation on GPUs via CUDA and integrates with the Astropy Lomb–Scargle interface. nifty-ls is publicly available at https://github.com/flatironinstitute/nifty-ls/ .

Source: Research Notes of the AAS

DOI: 10.3847/2515-5172/ad82cd

Authors: Lehman H. Garrison, Dan Foreman-Mackey, Yu-hsuan Shih, Alex Barnett

Institutions: Flatiron Institute, Nvidia (United States), Flatiron Health (United States)

Language: English

Topic: Computational Physics and Python Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4403147396

FWCI: 1.183

Cites: 12

Cited by: 8

Related to: 10