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Spectral sirens cosmology from binary black holes populations with sharper mass features

General Relativity and Quantum Cosmology · Submitted 6 Mar 2026 · Published version

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

The authors' main claim Our results highlight the strong interplay between the black hole mass distribution and inferred cosmology.

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arXiv ID2603.06792 (version 2)
Pith ID4HYXUCDY, Pith's permanent record of this paper and its review
CitationDani\`ele Steer, Nicola Tamanini, Tom Bertheas, Vasco Gennari. "Spectral sirens cosmology from binary black holes populations with sharper mass features." arXiv:2603.06792 (2026). https://pith.science/paper/4HYXUCDY
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 5,095 input tokens.

What the abstract itself states, as probabilities: claims first 0.05 · states limitation 0.90 · human participants 0.01 · controlled comparison 0.37 · randomized assignment 0.01 · states quantitative result 0.99 · compares with prior results 0.80 · mentions code or data availability 0.02.

The abstract, sentence by sentence

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

Spectral-sirens inference enables the extraction of cosmological parameters from gravitational-wave data alone, without electromagnetic counterparts or galaxy catalogs. We introduce new parametric mass functions for the binary black hole population built as linear combination of truncated power-laws that capture significant structure across the mass spectrum. On analysing the latest gravitational-wave transient catalog, GWTC-4.0, we show that power-laws-only population models constrain the Hubble constant to $H_0 = 53.3^{+14.0}_{-10.8} ~\rm km \,s^{-1} \,Mpc^{-1}$ at $68\%$ confidence level. After probing the robustness of the results with respect to several modelling assumptions, we further test alternative cosmological models, establishing competitive constraints on modified gravitational-wave propagation, while bounds on the dark energy equation-of-state parameters remain uninformative. Projecting to the future O5 observing run with larger datasets at higher redshifts, we forecast substantial improvements in $H_0$ and modified propagation parameters. Our results highlight the strong interplay between the black hole mass distribution and inferred cosmology.

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 Spectral-sirens inference enables the extraction of cosmological parameters from gravitational-wave data alone, without electromagnetic counterparts or galaxy catalogs. background 1.00 0.07 0.07 asserted 0.99
s1 We introduce new parametric mass functions for the binary black hole population built as linear combination of truncated power-laws that capture significant structure across the mass spectrum. contribution 0.65 0.94 0.06 asserted 1.00
s2 On analysing the latest gravitational-wave transient catalog, GWTC-4.0, we show that power-laws-only population models constrain the Hubble constant to $H_0 = 53.3^{+14.0}_{-10.8} ~\rm km \,s^{-1} \,Mpc^{-1}$ at $68\%$ confidence level. result 1.00 0.96 0.33 asserted 1.00
s3 After probing the robustness of the results with respect to several modelling assumptions, we further test alternative cosmological models, establishing competitive constraints on modified gravitational-wave propagation, while bounds on the dark energy equation-of-state parameters remain uninformative. result 0.97 0.95 0.21 asserted 1.00
s4 Projecting to the future O5 observing run with larger datasets at higher redshifts, we forecast substantial improvements in $H_0$ and modified propagation parameters. future work 0.67 0.76 0.09 asserted 0.45
s5 Our results highlight the strong interplay between the black hole mass distribution and inferred cosmology. interpretation 1.00 0.70 0.46 asserted 0.97

What kind of paper the classifier reports this is: method or tool 0.70 · evidence from analysis of existing data 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

Spectral-sirens inference enables the extraction of cosmological parameters from gravitational-wave data alone, without electromagnetic counterparts or galaxy catalogs. We introduce new parametric mass functions for the binary black hole population built as linear combination of truncated power-laws that capture significant structure across the mass spectrum. On analysing the latest gravitational-wave transient catalog, GWTC-4.0, we show that power-laws-only population models constrain the Hubble constant to $H_0 = 53.3^{+14.0}_{-10.8} ~\rm km \,s^{-1} \,Mpc^{-1}$ at $68\%$ confidence level. After probing the robustness of the results with respect to several modelling assumptions, we further test alternative cosmological models, establishing competitive constraints on modified gravitational-wave propagation, while bounds on the dark energy equation-of-state parameters remain uninformative. Projecting to the future O5 observing run with larger datasets at higher redshifts, we forecast substantial improvements in $H_0$ and modified propagation parameters. Our results highlight the strong interplay between the black hole mass distribution and inferred cosmology.

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6 arXiv papers cite this in 19 sentences

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

Papers citing it · 9 sentences without a confident label

Compares with it 2 papers
Cites it as support 1 paper
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What it cites · 143 sentences without a confident label

Builds on 2 papers
Uses the method or tool of 15 papers
Uses data or values from 6 papers
Compares with 11 papers
Cites as support 11 papers
Cites as background 26 papers

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