nifty-ls: Fast and Accurate Lomb–Scargle Periodograms Using a Non-uniform FFT
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 a...
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Veröffentlicht in: | Research notes of the AAS 2024-10, Vol.8 (10), p.250 |
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creator | Garrison, Lehman H. Foreman-Mackey, Dan Shih, Yu-hsuan Barnett, Alex |
description | 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/ . |
doi_str_mv | 10.3847/2515-5172/ad82cd |
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title | nifty-ls: Fast and Accurate Lomb–Scargle Periodograms Using a Non-uniform FFT |
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