A First Detection of the Connected 4-Point Correlation Function of Galaxies Using the BOSS CMASS Sample
Oliver H. E. Philcox, Jiamin Hou, Zachary Slepian

TL;DR
This paper reports the first significant detection of the non-Gaussian 4-Point Correlation Function in galaxy data, demonstrating its potential for cosmological insights and introducing a novel estimator with robust validation.
Contribution
The study introduces a new modified estimator for the 4PCF that subtracts disconnected contributions, validated with simulations, and applies data compression for effective analysis of high-dimensional data.
Findings
8.1 sigma detection of the 4PCF in BOSS data
Robust estimator validated with simulations
Detection significance remains stable under various noise treatments
Abstract
We present an detection of the non-Gaussian 4-Point Correlation Function (4PCF) using a sample of galaxies from the BOSS CMASS dataset. Our measurement uses the NPCF estimator of Philcox et al. (2021), including a new modification to subtract the disconnected 4PCF contribution (arising from the product of two 2PCFs) at the estimator level. This approach is unlike previous work and ensures that our signal is a robust detection of gravitationally-induced non-Gaussianity. The estimator is validated with a suite of lognormal simulations, and the analytic form of the disconnected contribution is discussed. Due to the high dimensionality of the 4PCF, data compression is required; we use a signal-to-noise-based scheme calibrated from theoretical covariance matrices to restrict to basis vectors. The compression…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Cosmology and Gravitation Theories · Astronomy and Astrophysical Research
