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Record W4415589250 · doi:10.1088/1475-7516/2025/10/099

Soliton self-gravity and core-halo relation in fuzzy dark matter halos

2025· article· W4415589250 on OpenAlexaff
Yusuke Manita, Takuya Takahashi, Atsushi Taruya

Bibliographic record

VenueJournal of Cosmology and Astroparticle Physics · 2025
Typearticle
Language
FieldPhysics and Astronomy
TopicDark Matter and Cosmic Phenomena
Canadian institutionsPerimeter Institute
Fundersnot available
KeywordsHaloSolitonDark matterCore (optical fiber)Dark matter haloDissipative soliton

Abstract

fetched live from OpenAlex

Abstract Fuzzy dark matter (FDM) is an attractive dark matter candidate composed of ultralight particles. In this paper, toward a clear understanding of the core-halo relation in the FDM halos, we consider a simple model of the soliton-halo system, in which the self-gravitating soliton core is formed in the presence of Navarro-Frenk-White (NFW) halo potential as an external field. Solving numerically the Schrödinger-Poisson equation, the self-gravitating soliton is obtained as a ground-state solution, which is characterized by the two key parameters, i.e., size of soliton core and its strength of self-gravity relative to those of the NFW halo. Using our soliton-halo model, we investigate the properties of soliton cores found in cosmological simulation, and the key parameters characterizing these solitons are reconstructed in a self-consistent manner. Results suggest that (1) the soliton core properties depend critically on both the self-gravity of the soliton and the external potential of the host halo, and (2) the scatter observed in the core-halo relation cannot be explained solely by the one in the halo's concentration-mass relation, as previously suggested, but also significantly influenced by intrinsic features of the soliton core, potentially arising from local dynamics at the halo center. We also demonstrate that the FDM mass can be reconstructed from the simulation data characterizing the halo density profile, providing a basis for applying the model to observational studies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.601
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.246
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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