A biased-tracer clustering model that adds scale-dependent density/velocity bias and mode coupling accurately describes BAO-scale redshift-space multipoles in simulations, and scale-dependent bias matters more than mode coupling.
Extracting the BAO scale from BOSS DR12 dataset
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abstract
We present the first application to real data from the BOSS DR12 dataset of the Extractor procedure to determine the acoustic scale imprinted on Baryonic Acoustic Oscillations (BAO). We show that, being largely insensitive to the broadband shape of the Power Spectrum, this procedure requires a lower number of nuisance parameters than those used by the BOSS collaboration, For non-reconstructed data our analysis improves the accuracy on the acoustic scale by about 20 %, while for reconstructed ones we get essentially the same level of accuracy as the BOSS analysis.
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Scale-dependent bias and mode coupling in redshift-space clustering near the BAO scale
A biased-tracer clustering model that adds scale-dependent density/velocity bias and mode coupling accurately describes BAO-scale redshift-space multipoles in simulations, and scale-dependent bias matters more than mode coupling.