Chiral gravitational waves and baryon superfluid dark matter

Alexander, Stephon; McDonough, Evan; Spergel, David N.

doi:10.1088/1475-7516/2018/05/003

Cited by 53 publications

(55 citation statements)

References 116 publications

(223 reference statements)

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“…The following remark is in order. The above results in the strongly-distorted regime were obtained by setting J = ρ in (14). In this case, the interaction vertex L int = −|Φ| 2 J/Λ 2 corresponds to a repulsive contact interaction between Φ and matter quantum in vacuum.…”

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confidence: 80%

“…As one example, we recently proposed a novel dark matter model [6][7][8] in which dark matter particles condense into a superfluid phase in the central region of galactic halos. (See also [9][10][11][12][13][14][15][16][17].) Phonon excitations mediate a long-range force between baryons, resulting in an effective force law F ∝ 1/r that explains various empirical galaxy scaling relations between dark and baryonic components [18][19][20].…”

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confidence: 99%

“…In other words, M eff simply represents an "h hair" 3. This screening effect can be understood intuitively by noticing that, according to(14), h acquires a mass within the source, which drives symmetry restoration within the source. This is similar to the symmetron screening mechanism[24], albeit in a Lorentz-violating background.…”

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confidence: 99%

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Emergent long-range interactions in Bose-Einstein condensates

Berezhiani

Khoury

2019

Phys. Rev. D

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We consider a massive complex scalar field with contact interactions with a source and show that, upon Bose-Einstein condensation, there is an emergent long-range interaction between sources. This interaction becomes long-range in the limit of vanishing self-interaction between Bose-Einstein constituents. More generally, the range is given by ℓ −1 ∝ λn/m, with λ being the 2-body selfinteraction coupling constant, n the particle number density in the condensate, and m the mass of the condensed particles. Naively this may sound surprising since in λ → 0 limit gapless excitations of the condensate have dispersion relation ω k = k 2 /2m, yet for the mediated force we have F ∝ 1/r 2 . The reason behind this seemingly counterintuitive result lies in the fact that the force is being mediated by the phonon, which happens to acquire a nontrivial derivative interaction with the source. We discuss the potential ramifications of this observation for dark matter models. In particular, we show that this force can compete with gravity on galactic scales for a wide range of dark matter mass, provided that the interaction with baryons allows the presence of an extended dark matter condensate core. The effect could be of particular interest in ultra-light dark matter models, such as Fuzzy Dark Matter.

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confidence: 80%

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confidence: 99%

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Emergent long-range interactions in Bose-Einstein condensates

Berezhiani

Khoury

2019

Phys. Rev. D

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“…Bringing together these disparate developments, it was shown in [17] that a QCD-like theory could lead to superfluidity on cosmological scales, and constitute a scenario for superfluid dark matter, providing a BCS analog to the axion's BEC. The natural embedding of this scenario in inflationary cosmology, with the fundamental degrees of freedom produced in huge numbers as a side-effect of baryogenesis, leads to a scenario of dark matter with observables from all stages of the evolution of the universe.…”

Section: Case Study: Dark Matter Superfluiditymentioning

confidence: 99%

Deep Learning the Morphology of Dark Matter Substructure

Alexander

Gleyzer

McDonough

et al. 2020

ApJ

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Strong gravitational lensing is a promising probe of the substructure of dark matter halos. Deep learning methods have the potential to accurately identify images containing substructure, and differentiate WIMP dark matter from other well motivated models, including vortex substructure of dark matter condensates and superfluids. This is crucial in future efforts to identify the true nature of dark matter. We implement, for the first time, a classification approach to identifying dark matter substructure based on simulated strong lensing images with different substructure. Utilizing convolutional neural networks trained on sets of simulated images, we demonstrate the feasibility of deep neural networks to reliably distinguish among different types of dark matter substructure. With thousands of strong lensing images anticipated with the coming launch of LSST, we expect that supervised and unsupervised deep learning models will play a crucial role in determining the nature of dark matter.

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“…This result indicates that the observation of a dark disk would not rule out axion or superfluid dark matter [8,9,[18][19][20][21][22][23] in favor of dissipative dark matter [15,16]. Ideally one could use such an observation to make a stronger statement, such as distinguishing the dark disk of the competing scenarios.…”

Section: A Dark Disk Universementioning

confidence: 99%

Dark disk substructure and superfluid dark matter

2019

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Dark matter substructure has the potential to discriminate between broad classes of dark matter models. With this in mind, we construct novel solutions to the equations of motion governing condensate dark matter candidates, namely axion Bose-Einstein condensates and superfluids. These solutions are highly compressed along one axis and thus have a disk-like geometry. We discuss linear stability of these solutions, consider the astrophysical implications as a large-scale dark disk or as small scale substructure, and find a characteristic signal in strong gravitational lensing. This adds to the growing body of work that indicates that the morphology of dark matter substructure is a powerful probe of the nature of dark matter.

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Chiral gravitational waves and baryon superfluid dark matter

Cited by 53 publications

References 116 publications

Emergent long-range interactions in Bose-Einstein condensates

Emergent long-range interactions in Bose-Einstein condensates

Deep Learning the Morphology of Dark Matter Substructure

Dark disk substructure and superfluid dark matter

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