Chrome Extension
WeChat Mini Program
Use on ChatGLM
VIPCreated with Sketch.

    • Can the QCD Axion Feed a Dark Energy Component?

    Kristjan Müürsepp,Enrico Nardi,Clemente Smarra

    arXiv · Phenomenology（2024）

    HEPC-NICPB Laboratory of High Energy and Computational Physics | INFN Laboratory of High Energy and Computational Physics | INFN SISSA International School for Advanced Studies

    Cited 0|Views10
    Abstract
    A pseudo Nambu-Goldstone boson (PNGB) coupled to a confining gauge group viaan anomalous term is characterised, during the confining phase transition, by atemperature dependent mass m^2(T) ∝ T^-n. For n>2, anon-relativistic population of such particles dominating the cosmologicalenergy density would act as dark energy (DE), accelerating the expansion. Westudy the possibility that a PNGB φ_b coupled to a hidden gauge groupthat is presently undergoing confinement could realise this scenario. To obtainthe observed amount of DE, the number density of φ_b must be boosted bysome mechanism. Assuming that the QCD axion φ_a constitutes the darkmatter (DM), a non-adiabatic level crossing between φ_a and φ_bshortly before matter-DE equality can convert a small fraction of DM into DE,providing such mechanism and explaining the coincidence puzzle.
    More
    Translated text
    PDF
    View via Publisher
    Bibtex
    AI Read Science
    AI Summary
    AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
    Example
    Background
    Key content
    Introduction
    Methods
    Results
    Related work
    Fund
    Key content
    • Pretraining has recently greatly promoted the development of natural language processing (NLP)
    • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
    • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
    • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
    • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
    Try using models to generate summary,it takes about 60s
    Must-Reading Tree
    Example
    Generate MRT to find the research sequence of this paper
    Data Disclaimer
    The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
    Chat Paper
    【要点】：论文探讨了QCD轴子通过非绝热水平交叉转化为暗能量（DE）的可能性，从而解决宇宙加速膨胀和暗能量与暗物质巧合问题。
    

    【方法】：通过分析伪Nambu-Goldstone玻色子（PNGB）与隐 gauge 群通过异常项耦合，在相变过程中质量随温度变化的行为，以及QCD轴子与PNGB之间的相互作用。
    

    【实验】：论文主要基于理论模型和计算，未提及具体实验。使用的数据集为宇宙学参数，如暗能量和暗物质的观测值，得到的结果表明该机制能够解释暗能量与暗物质的比例巧合问题。
    去 AI 文献库 对话