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Cosmologists aim to uncover the underlying cosmological model governing theformation and evolution of the Universe. One approach is through studying thelarge-scale structure (LSS) traced by galaxy redshift surveys. In this paper,we explore clustering and covariance errors of BOSS and eBOSS surveys inconfiguration and Fourier space with a new generation of galaxy lightcones. Wecreate 16 lightcones using the UCHUU simulation: a 2$h^{-1}$Gpc $N$-bodysimulation tracking 2.1 trillion dark matter particles within aPlanck-$\Lambda$CDM cosmology. Simulation's (sub)halos are populated withLuminous red galaxies (LRGs) using the subhalo abundance matching. Forestimating covariance errors, we generate 5,040 GLAM-UCHUU LRG lightcones basedon GLAM $N$-body simulations. LRGs are included using halo occupationdistribution. Our simulated lightcones reproduce BOSS/eBOSS clusteringstatistics on scales from redshifts 0.2 to 1.0, from 2 to 150$h^{-1}$Mpc, andfrom 0.005 to 0.7$h$Mpc$^{-1}$, in configuration and Fourier space,respectively. We analyse stellar mass and redshift effects on clustering andbias, revealing consistency with data and noting an increasing bias factor withredshift. Our investigation leads us to the conclusion that thePlanck-$\Lambda$CDM cosmology accurately explains the observed LSS.Furthermore, we compare our GLAM-UCHUU LRG lightcones with MD-PATCHY andEZMOCK, identifying large deviations from observations within 20$h^{-1}$Mpc. Weexamine covariance matrices, finding that our data estimated errors are higherthan those previously reported, carrying significant implications forcosmological parameter inferences. Lastly, we explore cosmology's impact ongalaxy clustering. Our results suggest that, given the current level ofuncertainties, we are unable to distinguish models with and without massiveneutrino effects on LSS.

The Uchuu-GLAM BOSS and eBOSS LRG lightcones: Exploring clustering and covariance errors