Strong Bound on Canonical Ultralight Axion Dark Matter from the Lyman-Alpha Forest

被引:218
作者
Rogers, Keir K. [1 ]
Peiris, Hiranya, V [1 ,2 ]
机构
[1] Stockholm Univ, AlbaNova Univ Ctr, Oskar Klein Ctr Cosmoparticle Phys, Dept Phys, S-10691 Stockholm, Sweden
[2] UCL, Dept Phys & Astron, Gower St, London WC1E 6BT, England
基金
美国国家科学基金会; 瑞典研究理事会; 英国科学技术设施理事会; 英国科研创新办公室;
关键词
POWER SPECTRUM; REIONIZATION; CODE; MASS;
D O I
10.1103/PhysRevLett.126.071302
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We present a new bound on the ultralight axion (ULA) dark matter mass m(a), using the Lyman-alpha forest to look for suppressed cosmic structure growth: a 95% lower limit m(a) > 2 x 10(-20) eV. This strongly disfavors (>99.7% credibility) the canonical ULA with 10(-22) eV < m(a) < 10(-21) eV, motivated by the string axiverse and solutions to possible tensions in the cold dark matter model. We strengthen previous equivalent bounds by about an order of magnitude. We demonstrate the robustness of our results using an optimized emulator of improved hydrodynamical simulations.
引用
收藏
页数:7
相关论文
共 75 条
[1]   A COSMOLOGICAL BOUND ON THE INVISIBLE AXION [J].
ABBOTT, LF ;
SIKIVIE, P .
PHYSICS LETTERS B, 1983, 120 (1-3) :133-136
[2]  
Adam R., 2016, A&A, V594, pA1, DOI [DOI 10.1051/0004-6361/201527101, 10.1051/0004-6361/201527101]
[3]  
[Anonymous], **DATA OBJECT**, DOI DOI 10.5281/ZENODO.1451799
[4]  
[Anonymous], ARXIV180706205 PLANC
[5]   Constraining the mass of light bosonic dark matter using SDSS Lyman-α forest [J].
Armengaud, Eric ;
Palanque-Delabrouille, Nathalie ;
Yeche, Christophe ;
Marsh, David J. E. ;
Baur, Julien .
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2017, 471 (04) :4606-4614
[6]   Exploring the string axiverse with precision black hole physics [J].
Arvanitaki, Asimina ;
Dubovsky, Sergei .
PHYSICAL REVIEW D, 2011, 83 (04)
[7]  
Auer P., 2003, Journal of Machine Learning Research, V3, P397, DOI 10.1162/153244303321897663
[8]   Finite-time analysis of the multiarmed bandit problem [J].
Auer, P ;
Cesa-Bianchi, N ;
Fischer, P .
MACHINE LEARNING, 2002, 47 (2-3) :235-256
[9]  
Bernstein Gary M., 2002, Proceedings of the SPIE - The International Society for Optical Engineering, V4485, P453, DOI 10.1117/12.454281
[10]  
Bird S., 2017, FAKE SPECTRA FLUX EX