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GEOMAX: beyond linear compression for 3pt galaxy clustering statistics
Davide Gualdi, Héctor Gil-Marín, Marc Manera +2
We present the GEOMAX algorithm and its Python implementation for a two-step compression of bispectrum measurements. The first step groups bispectra by the geometric properties of…
The Cosmological Analysis of the SDSS/BOSS data from the Effective Field Theory of Large-Scale Structure
Guido D'Amico, Jérôme Gleyzes, Nickolas Kokron +5
The Effective Field Theory of Large-Scale Structure (EFTofLSS) is a formalism that allows us to predict the clustering of Cosmological Large-Scale Structure in the mildly non-linea…
The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 LRG sample: structure growth rate measurement from the anisotropic LRG correlation function in the redshift range 0.6 < z < 1.0
M. Icaza-Lizaola, M. Vargas-Magaña, S. Fromenteau +14
We analyze the anisotropic clustering of the Sloan Digital Sky Survey-IV Extended Baryon Oscillation Spectroscopic Survey (eBOSS) Luminous Red Galaxy Data Release 14 (DR14) sample…
Beyond two-point statistics: using the minimum spanning tree as a tool for cosmology
Krishna Naidoo, Lorne Whiteway, Elena Massara +5
Cosmological studies of large-scale structure have relied on two-point statistics, not fully exploiting the rich structure of the cosmic web. In this paper we show how to capture s…
Redshift-weighted constraints on primordial non-Gaussianity from the clustering of the eBOSS DR14 quasars in Fourier space
Emanuele Castorina, Nick Hand, Uros Seljak +13
We present constraints on local primordial non-Gaussianity (PNG), parametrized through , using the Sloan Digital Sky Survey IV extended Baryon Oscillation Spe…
Geometrical compression: a new method to enhance the BOSS galaxy bispectrum monopole constraints
Davide Gualdi, Héctor Gil-Marín, Marc Manera +2
We present a novel method to compress galaxy clustering three-point statistics and apply it to redshift space galaxy bispectrum monopole measurements from BOSS DR12 CMASS data cons…