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Testing the isothermal Jeans model for self-interacting dark matter halos in the collapse phase

Cosmology and Nongalactic Astrophysics · Submitted 2 Mar 2026 · Published version

abstract compiled · 2026-10-20 · no language-model review

The authors' main claim Our results demonstrate that the isothermal Jeans model provides a reliable and computationally efficient description of SIDM halo evolution.

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arXiv ID2603.01772 (version 2)
Pith IDBC4IAEXM, Pith's permanent record of this paper and its review
CitationFangzhou Jiang, Hai-Bo Yu, Moritz S. Fischer, Ran Li, Shubo Li, Zixiang Jia. "Testing the isothermal Jeans model for self-interacting dark matter halos in the collapse phase." arXiv:2603.01772 (2026). https://pith.science/paper/BC4IAEXM
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-10-20: 1 request, 3,675 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.94 · human participants 0.01 · controlled comparison 0.59 · randomized assignment 0.01 · states quantitative result 0.06 · compares with prior results 0.96 · mentions code or data availability 0.02.

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arXiv listing abstract v2. Results and the main claim are underlined; .

We benchmark the semi-analytical isothermal Jeans model against a high-resolution isolated N-body simulation that follows a self-interacting dark matter (SIDM) halo into deep core collapse. The model accurately reproduces the density evolution through much of the collapse phase, although it does not capture the sharp rise in central velocity dispersion during collapse. When applied to strong gravitational lensing observables, such as the projected mass and logarithmic density slope of SIDM halos, the Jeans model tracks the simulated evolution more closely than the parametric approach in the deep collapse regime. Our results demonstrate that the isothermal Jeans model provides a reliable and computationally efficient description of SIDM halo evolution.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 We benchmark the semi-analytical isothermal Jeans model against a high-resolution isolated N-body simulation that follows a self-interacting dark matter (SIDM) halo into deep core collapse. method 0.72 0.95 0.04 asserted 0.96
s1 The model accurately reproduces the density evolution through much of the collapse phase, although it does not capture the sharp rise in central velocity dispersion during collapse. result 0.82 0.91 0.09 asserted 1.00
s2 When applied to strong gravitational lensing observables, such as the projected mass and logarithmic density slope of SIDM halos, the Jeans model tracks the simulated evolution more closely than the parametric approach in the deep collapse regime. result 1.00 0.91 0.12 asserted 1.00
s3 Our results demonstrate that the isothermal Jeans model provides a reliable and computationally efficient description of SIDM halo evolution. interpretation 0.96 0.91 0.93 asserted 1.00

What kind of paper the classifier reports this is: simulation study 0.76 · evidence from simulation or computation 1.00.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

We benchmark the semi-analytical isothermal Jeans model against a high-resolution isolated N-body simulation that follows a self-interacting dark matter (SIDM) halo into deep core collapse. The model accurately reproduces the density evolution through much of the collapse phase, although it does not capture the sharp rise in central velocity dispersion during collapse. When applied to strong gravitational lensing observables, such as the projected mass and logarithmic density slope of SIDM halos, the Jeans model tracks the simulated evolution more closely than the parametric approach in the deep collapse regime. Our results demonstrate that the isothermal Jeans model provides a reliable and computationally efficient description of SIDM halo evolution.

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3 arXiv papers cite this in 3 sentences

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