SFB basis applied to eBOSS DR16 samples identifies evidence (p<0.005 vs EZMocks) of stellar contamination systematics at large scales in QSOs and unknown systematics at plate/imaging scales in both LRG and QSO samples via fNL inconsistencies.
Demonstrating the Use of the Spherical Fourier Bessel Basis for Large Scale Clustering Systematics Discovery and Mitigation with eBOSS
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abstract
The Spherical Fourier-Bessel (SFB) basis, in separating the angular and radial modes of the power spectrum, permits a targeted identification and mitigation of systematics in clustering surveys while retaining more cosmological signal than traditional bases. We demonstrate this principle on the eBOSS DR16 LRG and QSO samples, identifying modes which may be contaminated by systematics. Our initial inference on the LRG sample yields an fNL value consistent with zero, while the QSO value is in slight tension with zero. Using the SFB basis, we vary the selection of angular and radial modes to search for inconsistencies in the inferred value of fNL, an indicator of underlying systematics. In the QSO sample, we find evidence (p < 0.005 compared to the same cuts on EZMocks) of a systematic afflicting large physical scales, which is consistent with residual stellar contamination; we also find evidence (p < 0.05) for an unknown systematic in the QSO and LRG samples at the approximate angular plate and imaging scale of eBOSS.
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Demonstrating the Use of the Spherical Fourier Bessel Basis for Large Scale Clustering Systematics Discovery and Mitigation with eBOSS
SFB basis applied to eBOSS DR16 samples identifies evidence (p<0.005 vs EZMocks) of stellar contamination systematics at large scales in QSOs and unknown systematics at plate/imaging scales in both LRG and QSO samples via fNL inconsistencies.