Extreme axions unveiled: A novel fluid approach for cosmological modeling

被引:2
作者
Winch, Harrison [1 ,2 ]
Hlozek, Renee [1 ,2 ]
Marsh, David J. E. [3 ]
Grin, Daniel [4 ]
Rogers, Keir K. [2 ]
机构
[1] Univ Toronto, Dept Astron & Astrophys, 50 St George St, Toronto, ON M5S 3H4, Canada
[2] Univ Toronto, Dunlap Inst Astron & Astrophys, 50 St George St, Toronto, ON M5S 3H4, Canada
[3] Kings Coll London, Theoret Particle Phys & Cosmol, London WC2R 2LS, England
[4] Haverford Coll, 370 Lancaster Ave, Haverford, PA 19041 USA
基金
加拿大自然科学与工程研究理事会;
关键词
DARK-MATTER; ALPHA FOREST;
D O I
10.1103/PhysRevD.110.043517
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Axion-like particles (ALPs) are a well-motivated dark matter candidate that solves some of the problems in the clustering of large scale structure in cosmology. ALPs are often described by a simplified quadratic potential to specify the dynamics of the axion field and are included in cosmological analysis codes using a modified fluid prescription. In this paper, we consider the extreme axion: a version of the axion with a high initial field angle that produces an enhancement (rather than a suppression) of structure on small scales around the Jeans length, which can be probed by measurements of clustering such as the extended Baryonic Oscillation Spectroscopic Survey (eBOSS) DR14 Lyman-alpha (Ly-alpha) forest. We present a novel method of modeling the extreme axion as a cosmological fluid, combining the generalized dark matter model with the effective fluid approach presented in the axionCAMB software as well as implementing a series of computational innovations to efficiently simulate the extreme axions. We find that, for axion masses between 10-23 eV max 10-22.5 eV, constraints on the axion fraction imposed by the eBOSS DR14 Ly-alpha forest can be significantly weakened by allowing them to be in the form of extreme axions with a starting angle between pi - 10-1 theta i pi- 10-2. This work motivates and enables a more robust hydrodynamical analysis of extreme axions in order to compare them to high-resolution Ly-alpha forest data in the future.
引用
收藏
页数:17
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