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 FFT (NUFFT), which we evaluate with the Flatiron Institute NUFFT package (finufft). This approach achieves a man...
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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 FFT (NUFFT), which we evaluate with the
Flatiron Institute NUFFT package (finufft). This approach achieves a many-fold
speedup over the Press & Rybicki (1989) 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 as open-source software. |
doi_str_mv | 10.48550/arxiv.2409.08090 |
format | Article |
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the Lomb-Scargle periodogram. nifty-ls leverages the fact that Lomb-Scargle can
be computed using a non-uniform FFT (NUFFT), which we evaluate with the
Flatiron Institute NUFFT package (finufft). This approach achieves a many-fold
speedup over the Press & Rybicki (1989) 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
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the Lomb-Scargle periodogram. nifty-ls leverages the fact that Lomb-Scargle can
be computed using a non-uniform FFT (NUFFT), which we evaluate with the
Flatiron Institute NUFFT package (finufft). This approach achieves a many-fold
speedup over the Press & Rybicki (1989) 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
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the Lomb-Scargle periodogram. nifty-ls leverages the fact that Lomb-Scargle can
be computed using a non-uniform FFT (NUFFT), which we evaluate with the
Flatiron Institute NUFFT package (finufft). This approach achieves a many-fold
speedup over the Press & Rybicki (1989) 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
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title | nifty-ls: Fast and Accurate Lomb-Scargle Periodograms Using a Non-Uniform FFT |
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