87 citations · 358 across the 28 of their papers we have counts for
4 papers · 1 filter
Self-Calibrating the Look-Elsewhere Effect: Fast Evaluation of the Statistical Significance Using Peak Heights
Adrian E. Bayer, Uros Seljak, Jakob Robnik
In experiments where one searches a large parameter space for an anomaly, one often finds many spurious noise-induced peaks in the likelihood. This is known as the look-elsewhere e…
Beware of Fake s: The Effect of Massive Neutrinos on the Nonlinear Evolution of Cosmic Structure
Adrian E. Bayer, Arka Banerjee, Uros Seljak
Massive neutrinos suppress the growth of cosmic structure on small, non-linear, scales. It is thus often proposed that using statistics beyond the power spectrum can tighten constr…
The GIGANTES dataset: precision cosmology from voids in the machine learning era
Christina D. Kreisch, Alice Pisani, Francisco Villaescusa-Navarro +4
We present GIGANTES, the most extensive and realistic void catalog suite ever released -- containing over 1 billion cosmic voids covering a volume larger than the observable Univer…
Detecting Neutrino Mass by Combining Matter Clustering, Halos, and Voids
Adrian E. Bayer, Francisco Villaescusa-Navarro, Elena Massara +6
We quantify the information content of the non-linear matter power spectrum, the halo mass function, and the void size function, using the Quijote -body simulations. We find tha…