Cosmic filament spin from dark matter vortices

Alexander, Stephon; Capanelli, Christian; Ferreira, Elisa G. M.; McDonough, Evan

doi:10.1016/j.physletb.2022.137298

Cited by 7 publications

(2 citation statements)

References 38 publications

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“…Clusters of galaxies occupy a small volume, voids contain a small number of galaxies, and walls contain a number of filaments (van de Weygaert & Schaap 2009;Cautun et al 2013). Through the structure of the cosmic web one can determine the properties of DM (Alexander et al 2022) and the expansion laws of the universe, or validate the theory of inflation (Springel et al 2006). The localization of voids (Mao et al 2017;Peper et al 2023) can aid cosmological tests (Paz et al 2023) and the study of the few galaxies that occupy them (Porter et al 2023).…”

Section: Cosmic Webmentioning

confidence: 99%

Continuous Filament Network of the Local Universe

Tugay

Tarnopolski

2023

ApJ

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Simulated galaxy distributions are suitable for developing filament detection algorithms. However, samples of observed galaxies, being of limited size, cause difficulties that lead to a discontinuous distribution of filaments. We created a new galaxy filament catalog composed of a continuous cosmic web with no lone filaments. The core of our approach is a ridge filter used within the framework of image analysis. We considered galaxies from the HyperLeda database with redshifts 0.02 ≤ z ≤ 0.1, and in the solid angle 120° ≤ R.A. ≤ 240°, 0° ≤ decl. ≤ 60°. We divided the sample into 16 two-dimensional celestial projections with redshift bin Δz = 0.005, and compared our continuous filament network with a similar recent catalog covering the same region of the sky. We tested our catalog on two application scenarios. First, we compared the distributions of the distances to the nearest filament of various astrophysical sources (Seyfert galaxies and other active galactic nuclei, radio galaxies, low-surface-brightness galaxies, and dwarf galaxies), and found that all source types trace the filaments well, with no systematic differences. Next, among the HyperLeda galaxies, we investigated the dependence of the g − r color distribution on the distance to the nearest filament, and confirmed that early-type galaxies are located on average further from the filaments than late-type ones.

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Section: Cosmic Webmentioning

confidence: 99%

Continuous Filament Network of the Local Universe

Tugay

Tarnopolski

2023

ApJ

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“…Additionally, light axions can form subhalos but also substructures that are quite different from standard CDM. These include vortices, disks, and interference patterns (Rindler-Daller & Shapiro 2012; Alexander et al 2019Alexander et al , 2022aHui 2021;Hui et al 2021).…”

Section: Dark Matter Substructurementioning

confidence: 99%

Domain Adaptation for Simulation-based Dark Matter Searches with Strong Gravitational Lensing

Alexander,

Gleyzer,

Parul

et al. 2023

ApJ

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The identity of dark matter has remained surprisingly elusive. While terrestrial experiments may be able to nail down a model, an alternative method is to identify dark matter based on astrophysical or cosmological signatures. A particularly sensitive approach is based on the unique signature of dark matter substructure in galaxy–galaxy strong lensing images. Machine-learning applications have been explored for extracting this signal. Because of the limited availability of high-quality strong lensing images, these approaches have exclusively relied on simulations. Due to the differences with the real instrumental data, machine-learning models trained on simulations are expected to lose accuracy when applied to real data. Here domain adaptation can serve as a crucial bridge between simulations and real data applications. In this work, we demonstrate the power of domain adaptation techniques applied to strong gravitational lensing data with dark matter substructure. We show with simulated data sets representative of Euclid and Hubble Space Telescope observations that domain adaptation can significantly mitigate the losses in the model performance when applied to new domains. Lastly, we find similar results utilizing domain adaptation for the problem of lens finding by adapting models trained on a simulated data set to one composed of real lensed and unlensed galaxies from the Hyper Suprime-Cam. This technique can help domain experts build and apply better machine-learning models for extracting useful information from the strong gravitational lensing data expected from the upcoming surveys.

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Cosmological implications of Kalb-Ramond-like particles

Capanelli,

Jenks,

Kolb

et al. 2024

J. High Energ. Phys.

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The Kalb-Ramond field is an antisymmetric, rank-two tensor field which most notably appears in the context of string theory, but has largely been unexplored in the context of cosmology. In this work, motivated by the Kalb-Ramond field in string theory, and antisymmetric tensor fields that emerge in effective field theories ranging from particle physics to condensed matter, we study the primordial production of interacting massive Kalb-Ramond-like-particles (KRLPs). KRLPs contain features of both dark photon and axion models, which can be appreciated via their duality properties. While the massless non-interacting KRLP is dual to a pseudoscalar, and the massive non-interacting KRLP is dual to a pseudovector, the interacting massive KRLP can be distinguished from its scalar and vector counterparts. We study early-universe production of KRLPs via the freeze-in mechanism, considering a ‘dark photon-like’ interaction, an ‘axion-like’ interaction, and a ‘Higgs portal’ interaction, as well as production via cosmological gravitational particle production. We find that as a dark matter candidate, KRLPs can be produced by all of the above mechanisms and account for the relic density of dark matter today for a wide range of masses. Finally, we comment on the potential to obtain both warm and cold dark matter subcomponents, and speculate on observational and experimental prospects.

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Cosmic filament spin from dark matter vortices

Cited by 7 publications

References 38 publications

Continuous Filament Network of the Local Universe

Continuous Filament Network of the Local Universe

Domain Adaptation for Simulation-based Dark Matter Searches with Strong Gravitational Lensing

Cosmological implications of Kalb-Ramond-like particles

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