REVIEW 3 cited by
nifty-ls: Fast and Accurate Lomb-Scargle Periodograms Using a Non-Uniform FFT
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original 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 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.
Forward citations
Cited by 3 Pith papers
-
Superorbital variability in the quiescent black hole X-ray transient A0620-00
A0620-00's optical brightness varies on a 261.9-day cycle, likely from a precessing hot inner accretion flow.
-
NuSTAR broadband X-ray observation of EF Eri following its reawakening into a high accretion state
First NuSTAR hard X-ray study of EF Eri in its new high state yields a white dwarf mass of 0.55-0.63 solar masses, matching the optical value.
-
Mind the gaps: improved methods for the detection of periodicities in unevenly-sampled data
A Gaussian-process likelihood-ratio test, calibrated by simulations from the noise-only model, detects (quasi-)periodic signals in irregularly sampled red-noise light curves.
Discussion (0). Continue with ORCID to comment.