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Model-independent versus model-dependent interpretation of the SDSS-III BOSS power spectrum: Bridging the divide
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abstract
The traditional clustering analyses of galaxy redshift surveys compress the clustering data into a set of late-time physical variables in a model-independent way. This approach has recently been extended by an additional shape variable encoding early-time physics information. We apply this new technique, ShapeFit, to SDSS-III BOSS data and show that it matches the constraining power of alternative, model-dependent approaches, which directly constrain the model's parameters adopting a cosmological model ab-initio. ShapeFit is $\sim30$ times faster, model-independent, naturally splits early- and late-time variables, and enables a better control of observational systematics.
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Improving cosmological constraints via galaxy intrinsic alignment in full-shape analysis
A Fisher forecast shows that adding full-shape intrinsic alignment information to galaxy clustering tightens cosmological constraints, particularly for dark energy and non-flat modified-gravity models.
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