Extracting key information from spectroscopic galaxy surveys
  We develop a novel method to extract key cosmological information, which is
primarily carried by the baryon acoustic oscillations (BAO) and redshift space
distortions (RSD), from spectroscopic galaxy surveys, based on a joint
principal component analysis (PCA) and Karhunen-Lo\`eve (KL) data compression
scheme. Comparing to the traditional methods using the multipoles or wedges of
the galaxy correlation functions, we find that our method is able to extract
the key information more efficiently, with a better control of the potential
systematics, which manifests it as a powerful tool for clustering analysis for
ongoing and forthcoming galaxy surveys.
