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On the potential of probing the neutron star composition in accreting X-ray binaries

High Energy Astrophysical Phenomena · Submitted 11 Jun 2024

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim We show that although exotic forms of matter are generally only expected in an inner core, which could in principle have any size, sufficiently large astrophysical data sets nonetheless have the potential to statistically discriminate compositional scenarios, in particular when further mass measurements become available.

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arXiv ID2406.07534 (version 1)
Pith IDD2YWH3IY, Pith's permanent record of this paper and its review
CitationKai Schwenzer, Kaiser Arf. "On the potential of probing the neutron star composition in accreting X-ray binaries." arXiv:2406.07534 (2024). https://pith.science/paper/D2YWH3IY
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,988 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.82 · human participants 0.01 · controlled comparison 0.39 · randomized assignment 0.01 · states quantitative result 0.11 · compares with prior results 0.32 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Transiently accreting Low Mass X-Ray Binaries have the potential to probe the core composition of their neutron stars via deep crustal heating caused by nuclear reactions. We statistically assess this deep crustal heating scenario, taking into account the various microphysical and astrophysical uncertainties. We find that despite the sizable uncertainties there is the chance to discriminate different compositional scenarios. Several observed sources statistically challenge a minimal hadronic matter composition, where cooling proceeds exclusively via slow modified Urca reactions. Considering here two exemplary extended uniform compositions, namely ultra-dense hadronic matter with direct Urca emission and ungapped quark matter, we find that they are even within uncertainties distinguishable. We show that although exotic forms of matter are generally only expected in an inner core, which could in principle have any size, sufficiently large astrophysical data sets nonetheless have the potential to statistically discriminate compositional scenarios, in particular when further mass measurements become available.

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 Transiently accreting Low Mass X-Ray Binaries have the potential to probe the core composition of their neutron stars via deep crustal heating caused by nuclear reactions. background 0.99 0.07 0.06 hedged possibility 0.97
s1 We statistically assess this deep crustal heating scenario, taking into account the various microphysical and astrophysical uncertainties. contribution 0.57 0.93 0.03 asserted 0.91
s2 We find that despite the sizable uncertainties there is the chance to discriminate different compositional scenarios. result 0.99 0.96 0.41 hedged possibility 0.65
s3 Several observed sources statistically challenge a minimal hadronic matter composition, where cooling proceeds exclusively via slow modified Urca reactions. result 0.99 0.90 0.18 asserted 0.98
s4 Considering here two exemplary extended uniform compositions, namely ultra-dense hadronic matter with direct Urca emission and ungapped quark matter, we find that they are even within uncertainties distinguishable. result 0.99 0.95 0.19 asserted 0.99
s5 We show that although exotic forms of matter are generally only expected in an inner core, which could in principle have any size, sufficiently large astrophysical data sets nonetheless have the potential to statistically discriminate compositional scenarios, in particular when further mass measurements become available. interpretation 0.81 0.82 0.59 hedged possibility 0.70

What kind of paper the classifier reports this is: simulation study 0.56 · evidence from analysis of existing data 0.74.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
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  • full text
  • figures and tables
  • references and citing sentences
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  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

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

Transiently accreting Low Mass X-Ray Binaries have the potential to probe the core composition of their neutron stars via deep crustal heating caused by nuclear reactions. We statistically assess this deep crustal heating scenario, taking into account the various microphysical and astrophysical uncertainties. We find that despite the sizable uncertainties there is the chance to discriminate different compositional scenarios. Several observed sources statistically challenge a minimal hadronic matter composition, where cooling proceeds exclusively via slow modified Urca reactions. Considering here two exemplary extended uniform compositions, namely ultra-dense hadronic matter with direct Urca emission and ungapped quark matter, we find that they are even within uncertainties distinguishable. We show that although exotic forms of matter are generally only expected in an inner core, which could in principle have any size, sufficiently large astrophysical data sets nonetheless have the potential to statistically discriminate compositional scenarios, in particular when further mass measurements become available.

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What this paper does with the arXiv papers it cites

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

What it cites · 41 sentences without a confident label

Uses data or values from 7 papers
Compares with 1 paper
Cites as background 7 papers

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