The Extreme Tail of the Non-Gaussian Mass Function
Aseem Paranjape, Christopher Gordon, Shaun Hotchkiss

TL;DR
This paper introduces a new analytical method for calculating the non-Gaussian halo mass function's extreme tail, improving stability and accuracy for high-mass, high-redshift clusters crucial for primordial non-Gaussianity studies.
Contribution
The authors develop a resummed analytical prescription for the non-Gaussian halo mass function that remains stable in the extreme tail and compare it with existing simulation-based fits.
Findings
The new prescription performs well in current simulation regimes.
Both the new and existing prescriptions yield consistent constraints with current data.
Future data may require more accurate prescriptions to avoid biases in non-Gaussianity constraints.
Abstract
Number counts of massive high-redshift clusters provide a window to study primordial non-Gaussianity. The current quality of data, however, forces the statistical analysis to probe a region of parameter space -- the extreme tail of the mass function -- which is neither accessible in any of the currently available theoretical prescriptions for calculating the mass function, nor calibrated in N-body simulations. In this work we present a new analytical prescription for calculating a "resummed" non-Gaussian halo mass function, which is constructed to remain stable in the extreme tail. We show that the prescription works well in the parameter regime that has been currently explored in simulations. We then use Fisher matrix techniques to compare our prescription with an extrapolated fit to N-body simulations, which has recently been used to obtain constraints from data collected by the South…
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