2012
DOI: 10.1103/physrevd.86.083011
|View full text |Cite
|
Sign up to set email alerts
|

Primordial bispectrum and trispectrum contributions to the non-Gaussian excursion set halo mass function with diffusive drifting barrier

Abstract: The high-mass end of the halo mass function is a sensitive probe of primordial non-Gaussianity (NG). In a recent study [9], we have computed the NG halo mass function in the context of the excursion set theory and shown that the primordial NG imprint is coupled to that induced by the nonlinear collapse of dark matter halos. We also found an excellent agreement with N-body simulation results. Here, we perform a more accurate computation which accounts for the interval validity of the bispectrum expansion to nex… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
18
0

Year Published

2013
2013
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 13 publications
(18 citation statements)
references
References 27 publications
0
18
0
Order By: Relevance
“…Since the earliest attempts of modeling the abundance of bound objects in the presence of non-Gaussian initial conditions, this search has progressed side to side with models of the simpler Gaussian case: for instance, several attempts tried to extend the Press and Schechter (PS) mass function [169] to local-type non-Gaussianities in the initial conditions [170][171][172][173][174][175]. This extension was also studied for higher order primordial non-Gaussianities [172,176,177] and a range of other bispectrum shapes [178] ; the excursion set approach [179][180][181][182][183], which was introduced to solve problems suffered by the PS model, was thoroughtly also investigated with non-Gaussianity in the initial conditions [173][174][175][184][185][186][187][188][189][190][191][192][193][194][195]. Lastly, the peak model [196], which was recently combined with the excursion set approach in the Excursion Set Peaks (ESP) model [197,198], has been applied to non-Gaussian peak statistics [199][200][201][202][203][204].…”
Section: Analytic Approachesmentioning
confidence: 99%
“…Since the earliest attempts of modeling the abundance of bound objects in the presence of non-Gaussian initial conditions, this search has progressed side to side with models of the simpler Gaussian case: for instance, several attempts tried to extend the Press and Schechter (PS) mass function [169] to local-type non-Gaussianities in the initial conditions [170][171][172][173][174][175]. This extension was also studied for higher order primordial non-Gaussianities [172,176,177] and a range of other bispectrum shapes [178] ; the excursion set approach [179][180][181][182][183], which was introduced to solve problems suffered by the PS model, was thoroughtly also investigated with non-Gaussianity in the initial conditions [173][174][175][184][185][186][187][188][189][190][191][192][193][194][195]. Lastly, the peak model [196], which was recently combined with the excursion set approach in the Excursion Set Peaks (ESP) model [197,198], has been applied to non-Gaussian peak statistics [199][200][201][202][203][204].…”
Section: Analytic Approachesmentioning
confidence: 99%
“…However, in order to have a coherent volume definition, we should consider walks smoothed with a (SX) filter when computing the multiplicity function. In this case, we use the same path integral technique as Maggiore & Riotto (2010a,b); Corasaniti & Achitouv (2011a); Achitouv & Corasaniti (2012b). Taking into account void-invoid and neglecting void-in-cloud effects, we find that the nonMarkovian corrections for a diffusive drifting barrier are:…”
Section: Excursion Set Approachmentioning
confidence: 99%
“…In section 2 of this paper we first briefly review the drifting diffusive barrier model [14,[20][21][22], built upon [17][18][19]. Then we show that the collapse overdensity measured in N-body simulations required to form halos is well approximated by this model, while a different type of barrier inspired by the physics of collapsing peaks leads to inconsistent predictions once it is plugged into the standard excursion set approach [12].…”
Section: Introductionmentioning
confidence: 99%