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TDCOSMO XXVIII. The Hubble constant from the quadruply lensed quasar J1537$-$3010 with precise time delays

Cosmology and Nongalactic Astrophysics · Submitted 31 Aug 2026 · 178 references

Pith's verdict: Solid new H0 measurement from a single lens system, honestly quoted at 10% precision; the load-bearing dynamical assumptions are the soft spot, but the paper is transparent about them.

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arXiv ID2609.00179 (version 1)
Pith IDKHQR5JMP, Pith's permanent record of this paper and its review
CitationA. Chawla, A. Galan, A. G. Schweinfurth, D. Eckert, D. M. Williams, D. P. Johnson, D. Sluse, E. Buckley-Geer, F. Courbin, F. Dux, G. V. Kharchilava, H. Lin, K. C. Wong, M. Cappellari, M. Millon, S. Birrer, S. Ertl, S. H. Suyu, S. Knabel, S. Schuldt, T. Anguita, T. Treu, V. Motta, W. Sheu. "TDCOSMO XXVIII. The Hubble constant from the quadruply lensed quasar J1537$-$3010 with precise time delays." arXiv:2609.00179 (2026). https://pith.science/paper/KHQR5JMP
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Referee report
The paper

The paper claims

This paper presents the first Hubble constant measurement from the quadruply lensed quasar J1537–3010, finding H0 = 75.5^{+9.3}_{-5.8} km/s/Mpc (10% precision) in flat ΛCDM by explicitly incorporating the mass-sheet degeneracy into the…

The reading

The paper tries to establish the value of the Hubble constant from a single strongly lensed quasar system, J1537–3010, which has exceptionally precise time delays (∼2% on one pair). To do this, it combines those delays with HST imaging and independent lens models from two codes, then adds spatially resolved stellar kinematics from MUSE and a line-of-sight convergence estimate from the Euclid Flagship simulation. The key innovation is that the mass profile is parametrised in a way that is maximally degenerate with H0 via the mass-sheet transformation, so that the mass-sheet degeneracy is converted from a systematic floor into a statistical uncertainty folded into the final error bar. After unblinding, the measurement yields H0 = 75.$5^{{+9.3}}$_{-5.8} km/s/Mpc, with the total mass-sheet parameter λ = 0.$89^{{+0.11}}$_{-0.06}. A sympathetic reader would care because this is a new, independent cosmographic constraint that uses a different lens system and methodology than other time-delay cosmography results, and it agrees with the late-Universe distance ladder while being consistent with early-Universe probes at the 1σ level, illustrating both the promise and current limitations of single-system strong-lensing H0 measurements.

What carries the argument

The central object is the mass-sheet parameter λ = (1 − κ_ext) λ_int, which encodes the combined effect of the internal mass-sheet transformation and the external convergence. The key relationship is H0 ∝ 1/λ, so constraining λ directly breaks the dominant systematic degeneracy in time-delay cosmography. The machinery that constrains λ_int is the Jeans anisotropic modelling (JAM) framework applied to the MUSE stellar kinematics map, combined with a cored-mass-sheet profile (Eq. 9) that mimics a pure mass sheet over the Einstein-radius region. The external convergence κ_ext is estimated by comparing galaxy counts in a 120″ aperture around the lens to random lines of sight in the Euclid Flagship simulation, using the method described in Wells et al. (2023).

Extended reading notes

Core claim

The central claim is that the Hubble constant can be measured from J1537–3010 with 10% precision by explicitly modelling the internal and external parts of the mass-sheet degeneracy. The internal mass-sheet parameter λ_int is constrained by Jeans anisotropic modelling (JAM) of the MUSE stellar kinematics under the assumption of axisymmetry and a power-law plus cored-mass-sheet density profile. The external convergence κ_ext is constrained from the number counts of galaxies along the line of sight, calibrated against the Euclid Flagship simulation. The total mass-sheet parameter is λ = (1 − κ_ext) λ_int = 0.$89^{{+0.11}}$_{-0.06}, and because H0 ∝ 1/λ, the inferred H0 = 75.$5^{{+9.3}}$_{-5.8} km/s/Mpc. The analysis was performed blindly to H0, distances and the mass slope, and the two independent lens-modelling codes (lenstronomy and glee) produce results that agree after the mass-sheet transformation is applied.

Load-bearing premise

The measurement assumes that the stellar kinematics can be modelled by an axisymmetric Jeans anisotropic model with a radially constant stellar anisotropy, a specific inclination prior derived from MaNGA, and a mass profile that is a power law plus a cored mass-sheet component; any bias in the anisotropy or mass-profile assumption directly translates into a biased H0 because H0 scales as 1/λ_int.

Editorial extensions

If this is right

  • If the measurement is correct, J1537–3010 becomes the ninth system in the TDCOSMO sample, providing additional leverage for population-level hierarchical inference of H0 that can approach percent-level precision.
  • The posterior distributions of lens model parameters and stellar kinematics will be used in future TDCOSMO analyses, potentially breaking remaining degeneracies between the internal mass-sheet parameter and the stellar anisotropy across the sample.
  • Future JWST NIRSpec and NIRCam observations of this system, which are already being gathered, are expected to dramatically reduce the kinematic and imaging uncertainties, so that the current 10% precision on H0 from this single system could shrink toward the few-percent floor set by the time delays.
  • The agreement of this single-system H0 with the distance ladder (e.g., Breuval et al. 2024) and its consistency with Planck+SPT+ACT at ∼1σ suggests that the mass-sheet treatment used here does not introduce a large systematic bias; if the tension persists and sharpens with better data, it would strengthen the case for new physics beyond flat ΛCDM.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • Editorial inference: The 10% uncertainty is dominated by the kinematic constraint, which reaches only 0.7 arcsec while the Einstein radius is 1.37 arcsec. Deep JWST spectroscopy will map kinematics further out, and if the inferred velocity dispersion profile remains consistent with the current JAM best-fit, the posterior on λ_int should tighten by a factor of ∼2–3, yielding H0 at ∼5% from this sys
  • Editorial inference: The paper does not explicitly test whether a more flexible mass profile (e.g., a two-power-law or a composite stars+dark-matter NFW) would change the inference on λ_int. Because the cored-mass-sheet term (Eq. 9) is only an approximation to a true mass sheet, a future analysis that jointly fits a more physically motivated mass model and the kinematics may produce a different λ_
Original abstract

We present the first measurement of the Hubble constant ($H_0$) from the quadruply-lensed quasar J1537$-$3010, which has optically-measured time delays at $\sim2 \%$ precision. We combine these delays with multi-band imaging data from the Hubble Space Telescope (HST) and model the system with two independent software and teams. We adopt a mass profile that is maximally degenerate with $H_0$ to fully incorporate the mass-sheet degeneracy in the error budget, with nuisance parameters constrained by spatially resolved stellar kinematics from the Multi Unit Spectroscopic Explorer (MUSE) and a line-of-sight (LoS) analysis using the Euclid Flagship simulation. The entire analysis is performed blindly to $H_0$, distances and mass density slope of the main deflector. After unblinding, we measure $H_0 = 75.5^{+9.3}_{-5.8}\ {\rm km\,s^{-1}\,Mpc^{-1}}$, corresponding to a $10\%$ precision measurement from a single system. This precision is driven by conservative lens modeling assumptions including differences between lens modeling methods and the limited stellar kinematics constraints, from which we infer a total mass-sheet parameter $\lambda\equiv(1-\kappa_{\rm ext})\lambda_{\rm int} = 0.89^{+0.11}_{-0.06}$ ($\lambda_{\rm int}=0.89^{+0.09}_{-0.07}$) that is consistent with current results for elliptical galaxies ($\lambda \approx 1$). Our lensing constraints, stellar kinematic measurements and LoS characterization will be included in subsequent population-level measurements of $H_0$. Moreover, our lens models combined with future near-infrared spectroscopy and imaging from the James Webb Space Telescope will further reduce the uncertainties on $H_0$ from J1537$-$3010 alone, bringing it closer to the few percents precision of the time delays.

The compiled record

The paper's own sentences, arranged, kept beside the review and separate from it. 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.

Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 6,819 input tokens.

What the abstract itself states, as probabilities: claims first 0.88 · states limitation 0.96 · human participants 0.02 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.99 · compares with prior results 0.71 · mentions code or data availability 0.05.

The abstract, sentence by sentence

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

We present the first measurement of the Hubble constant ($H_0$) from the quadruply-lensed quasar J1537$-$3010, which has optically-measured time delays at $\sim2 \%$ precision. We combine these delays with multi-band imaging data from the Hubble Space Telescope (HST) and model the system with two independent software and teams. We adopt a mass profile that is maximally degenerate with $H_0$ to fully incorporate the mass-sheet degeneracy in the error budget, with nuisance parameters constrained by spatially resolved stellar kinematics from the Multi Unit Spectroscopic Explorer (MUSE) and a line-of-sight (LoS) analysis using the Euclid Flagship simulation. The entire analysis is performed blindly to $H_0$, distances and mass density slope of the main deflector. After unblinding, we measure $H_0 = 75.5^{+9.3}_{-5.8}\ {\rm km\,s^{-1}\,Mpc^{-1}}$, corresponding to a $10\%$ precision measurement from a single system. This precision is driven by conservative lens modeling assumptions including differences between lens modeling methods and the limited stellar kinematics constraints, from which we infer a total mass-sheet parameter $\lambda\equiv(1-\kappa_{\rm ext})\lambda_{\rm int} = 0.89^{+0.11}_{-0.06}$ ($\lambda_{\rm int}=0.89^{+0.09}_{-0.07}$) that is consistent with current results for elliptical galaxies ($\lambda \approx 1$). Our lensing constraints, stellar kinematic measurements and LoS characterization will be included in subsequent population-level measurements of $H_0$. Moreover, our lens models combined with future near-infrared spectroscopy and imaging from the James Webb Space Telescope will further reduce the uncertainties on $H_0$ from J1537$-$3010 alone, bringing it closer to the few percents precision of the time delays.

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 present the first measurement of the Hubble constant ($H_0$) from the quadruply-lensed quasar J1537$-$3010, which has optically-measured time delays at $\sim2 \%$ precision. contribution 0.95 0.95 0.24 asserted 1.00
s1 We combine these delays with multi-band imaging data from the Hubble Space Telescope (HST) and model the system with two independent software and teams. method 0.99 0.94 0.02 asserted 0.99
s2 We adopt a mass profile that is maximally degenerate with $H_0$ to fully incorporate the mass-sheet degeneracy in the error budget, with nuisance parameters constrained by spatially resolved stellar kinematics from the Multi Unit Spectroscopic Explorer (MUSE) and a line-of-sight (LoS) analysis using the Euclid Flagship simulation. method 1.00 0.87 0.02 asserted 0.99
s3 The entire analysis is performed blindly to $H_0$, distances and mass density slope of the main deflector. method 0.99 0.94 0.02 asserted 1.00
s4 After unblinding, we measure $H_0 = 75.5^{+9.3}_{-5.8}\ {\rm km\,s^{-1}\,Mpc^{-1}}$, corresponding to a $10\%$ precision measurement from a single system. result 1.00 0.98 0.92 asserted 1.00
s5 This precision is driven by conservative lens modeling assumptions including differences between lens modeling methods and the limited stellar kinematics constraints, from which we infer a total mass-sheet parameter $\lambda\equiv(1-\kappa_{\rm ext})\lambda_{\rm int} = 0.89^{+0.11}_{-0.06}$ ($\lambda_{\rm int}=0.89^{+0.09}_{-0.07}$) that is consistent with current results for elliptical galaxies ($\lambda \approx 1$). result 0.47 0.94 0.07 asserted 0.55
s6 Our lensing constraints, stellar kinematic measurements and LoS characterization will be included in subsequent population-level measurements of $H_0$. future work 1.00 0.77 0.03 asserted 0.87
s7 Moreover, our lens models combined with future near-infrared spectroscopy and imaging from the James Webb Space Telescope will further reduce the uncertainties on $H_0$ from J1537$-$3010 alone, bringing it closer to the few percents precision of the time delays. future work 1.00 0.36 0.03 hedged possibility 0.78

What kind of paper the classifier reports this is: empirical study 1.00 · evidence from analysis of existing data 0.56.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • 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

Figures
Figure 1. Color composite image of the quadruply lensed quasar J1537−3010 built from HST/WFC3 data (red: F160W, green: F814W, blue: F475X). Labels for the quasar images (A to D), main deflector (G1) and identified perturbers (G2 to G5) are also indicated, as well as the angular scale and orientation of the image. Additional credits to Tian Li for the color image. B1608+656 RXJ1131 1231 HE0435 1223 SDSS1206+4332 WFI2033 4723 PG1115+080 DES0408 5354 WGD2038 4008 J1433+6007 HE1104 1805 J1537 3010 (this work) 0.3 0.4 0.5 0.6 0.7 zd 1.0 1.5 2.0 2.5 z s 0.9 1.2 1.5 1.8 E [arcsec] 0.5 1.0 1.5 2.0 R…
Figure 2. The place of J1537−3010 within the current TDCOSMO sample of lensed quasars: deflector redshift 𝑧d, source redshift 𝑧s , Einstein radius 𝜃E and effective (half-light) radius 𝑅eff of the main deflector. For 𝜃E and 𝑅eff, 1-𝜎 error bars are also indicated. Values for other systems were taken from TDCOSMO Collaboration et al. (2025); Paic et al. (2026); Sheu et al. (2026), Williams et al. (in prep.). The 𝑅eff value for J1433+6007 has been remeasured on a larger cutout and thus slightly differs from Sheu et al. (2026). are encapsulated in the time-delay distance 𝐷Δ𝑡 . In the context of…
Figure 3. Light curves in 𝑟 band extracted from the four-season long mon￾itoring campaign (Sect. 3.1), for each quasar image (see
Figure 4. Stellar kinematics measurements for the main deflector using the VLT/MUSE observations. Top row, left panel: white image cutout showing the circular region (0 ′′ . 8 radius) used for the extraction. The white circle (diameter) shows the mean FWHM of the data over the considered wavelength range. Top row, right panel: spectrum from the single spaxel shown in blue on the left panel, along with the best-fit and normalized residuals. The shaded regions are masked out during the fit (quasar and host emission lines and sigma-clipping step). Bottom row, from left to right: resulting LoS…
Figure 5. Posterior distribution of external convergence 𝜅ext for J1537−3010, that is the effective contribution of LoS objects other than the main deflector and perturbers to the net lensing effect (see Sect. 6.2 for details on the input catalogs). combined with the surface-brightness locus classification (128 galaxies), adopted as our fiducial sample; (ii) ext_mash = 4 alone (146 galaxies), the most inclusive of genuine galaxies at the cost of some stellar contamination; and (iii) ext_mash = 4 combined with the surface-brightness locus classification (115 galaxies), the most conservative.…
Figure 6. Best-fit lens model obtained with lenstronomy (top three rows) and glee (bottom three rows). Each row shows one HST filter, and each column shows the imaging data, the corresponding model, normalized residuals and the quasar host model (the white dot indicates the position of the quasar). We see no statistically significant residual patterns, showing that all lens models reproduce well the observations given the modeled uncertainties. Note that the image and source plane field of view slightly differ between lenstronomy and glee models. where we identify the total MST parameter 𝜆 ≡…
Figure 7. Joint posterior distribution of a subset of key parameters from lenstronomy and glee lens models, af￾ter marginalization over various model variations for systematic errors. From left to right, the parameters are the main de￾flector Einstein radius 𝜃E,G1, the mass density slope 𝛾pl the total mass axis ra￾tio and position angle (𝑞m and 𝜙m), the external shear parameters (𝛾ext and 𝜙ext) and the MST-uncorrected time-delay dis￾tance 𝐷 model Δ𝑡 . For each model separately, we improve parameter space sampling by fitting a multivariate Gaussian model and resample the distributions befor
Figure 8. Left panel: joint posterior distribution of key parameters of our combined lensing, dynamics, LoS and cosmological inference (see Sect. 8 for details and Fig. D.4 for the full parameter space). Distributions are shown for each lens model (lenstronomy and glee) and each choice of JAM parametrization (cylindrically or spherically aligned stellar orbits) Right panel: best-weighted dynamical models and reduced residuals corresponding to the same four models (the observed 𝑉rms map is shown in
Figure 9. Joint posterior distribution on 𝐻0 and the total MST param￾eter 𝜆 ≡ (1 − 𝜅ext)𝜆int from J1537−3010 only. For 𝐻0 we show the results from Camphuis et al. (2026) and Breuval et al. (2024) as early (Planck+SPT+ACT) and late (distance ladder) universe probes, respec￾tively. Beyond our main cosmographical measurement, we have pre￾sented the following results: 1. We incorporated some of the most precise time delays in a lensed quasar to date (∼ 2% precision) in lens models constrained from multi-band HST imaging data using two independent modeling codes ran by independent teams; 2. We…

Figures reproduced from arXiv:2609.00179 by the authors.

References

Discussion

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