REVIEW 3 major objections 3 minor 3 cited by
Cosmology with Supernova Encore in the lensing cluster MACS J0138$-$2155 -- Spectroscopy with MUSE
T0 review · 3 major / 3 minor · reviewed 2026-08-11 · deepseek-v4-flash
Pith's one-line read This paper establishes the spectroscopic and kinematic groundwork that turns the two strongly lensed supernovae in the cluster MACS J0138–2155 into a Hubble-constant measurement.
desk verdict A solid, honest data paper that moves the SN Encore/Requiem H0 program forward; the two unresolved sigma_v discrepancies and unpublished error calibration are real but not fatal. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The load-bearing mechanism is the Faber–Jackson relation, $L \propto \sigma^{1/\alpha}$, calibrated by a Markov-chain Monte Carlo fit from 13 early-type cluster members whose line-of-sight velocity dispersions $\sigma_v$ come from pPXF full-spectrum fits of MUSE spectra, and whose luminosities come from HST F160W magnitudes. A dual pseudo-isothermal elliptical mass distribution (a dPIE, a truncated mass profile with a velocity-dispersion parameter and a half-mass radius) is the standard model component used for cluster members; for vanishing core radius its velocity-dispersion parameter is well approximated by the central stellar velocity dispersion. The calibrated relation sets that parameter from observed magnitude for every member, so the strong-lensing model no longer has to explore the degenerate velocity-dispersion/truncation-radius plane freely. The companion strong-lensing models adopt exactly this prior, which is how the kinematics enter the time-delay prediction.
What would settle it
Take the 14 cluster members with measured velocity dispersions and re-observe them at higher spectral resolution and S/N with an independent instrument and fitting code. If the recovered dispersions differ from the published values by more than the quoted uncertainties (as two of the values already differ from an independent shallower catalogue), then the Faber–Jackson calibration and the lens-model priors built on it are biased. A cheaper intermediate check is to re-run pPXF on the same spectra with the single-template approach used by that shallower catalogue and see whether the two discrepant galaxies move toward its values.
Extended reading notes
Core claim
The paper's central claim is that the new MUSE data yield a pure, complete spectroscopic sample of the cluster and a reliably calibrated Faber–Jackson relation for its early-type members, and that these are what make the upcoming $H_0$ measurement from the two lensed supernovae trustworthy. The catalogue contains 107 secure or likely redshifts, with 50 cluster members in the narrow range $0.324<z<0.349$ and 13 lensed images from four background sources spanning $0.767 \le z \le 3.420$, including the four images of the SN host at $z=1.95$; two of the background sources are new Lyman-$\alpha$ emitters found by scanning the cube. For the kinematics, pPXF full-spectrum fits on surface-brightness-weighted apertures give velocity dispersions for 14 cluster members and two background galaxies. Fitting $L \propto \sigma^{1/\alpha}$ to 13 early-type members yields $\alpha = 0.25^{+0.05}_{-0.05}$, $\sigma_{v,\mathrm{ref}} = 206^{+14}_{-13}$ km/s at the reference magnitude, and an intrinsic scatter of $25^{+6}_{-4}$ km/s. The slope is consistent with Faber–Jackson calibrations in six other lensing clusters at $0.31\le z \le 0.59$, so the paper concludes there is no statistically significant redshift evolution of the relation in that range. Because the dPIE velocity-dispersion parameter of a member is well approximated by its central stellar velocity dispersion, this calibrated relation gives the lens model an observational prior for every member's mass, which is what breaks the velocity-dispersion/truncation-radius degeneracy that would otherwise bias the predicted time delays.
Load-bearing premise
The load-bearing premise is that the velocity dispersions recovered from pPXF fits to MUSE spectra are unbiased estimates of the dPIE velocity-dispersion parameter that the lens model assigns to each cluster member; if those kinematics are biased, the Faber–Jackson relation and every strong-lensing model that uses it inherit that bias.
Editorial extensions
If this is right
- The 107-object redshift catalogue pins down which galaxies are cluster members and which are lensed background objects, so the strong-lensing model of MACS0138 no longer has to fit the member list and image redshifts as free unknowns.
- With the Faber–Jackson prior assigning a velocity dispersion to every member from its F160W magnitude, the lens model can predict the time delays between the four images of the SN host with a controlled member-mass uncertainty, making the subsequent $H_0$ measurement from Requiem and Encore possible.
- The two newly discovered Lyman-$\alpha$ sources at $z=3.152$ and $z=3.420$ add multiple-image constraints at high redshift, strengthening the model against the mass-sheet degeneracy.
- The consistency of the calibrated slope with six other clusters at $0.31\le z\le 0.59$ implies the same mass-luminosity scaling can be used as a prior for other cluster lenses in that redshift range without independent kinematics for every member.
- The quoted intrinsic scatter of 25 km/s around the relation gives a direct estimate of how much member mass varies at fixed luminosity, which can be propagated into the final $H_0$ uncertainty budget.
Reading between the lines
- If the Faber–Jackson prior is as informative as claimed, the resulting $H_0$ from Requiem–Encore should be systematically more precise than it would be with the member masses left free; this can be tested by comparing the $H_0$ posterior with and without the kinematic prior in the same lens model.
- The reported tens-of-km/s disagreements for two objects with an independent shallower catalogue suggest the systematic floor of the kinematic measurements is not yet fully settled, so a targeted re-observation of those two galaxies at higher S/N with a different template set would be a decisive check.
- The S/N $\ge 10$ threshold and the quoted uncertainties rest on 16,000 simulated spectra described in a companion paper that has not yet appeared; publishing those simulations would let other groups reproduce the error budget and extend the method to shallower data.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper presents VLT/MUSE spectroscopy of the galaxy cluster MACS J0138−2155, totalling 3.7 hours, and uses it to build a spectroscopic catalogue of 107 objects with reliable redshifts, including 50 cluster members and 13 multiply lensed images from four background sources (among them four images of the host galaxy of SNe Requiem and Encore). It measures line-of-sight stellar velocity dispersions for 14 cluster members and two background galaxies from pPXF fits with a carefully selected stellar template library, and calibrates the Faber-Jackson relation L ∝ σ^{1/α} for 13 early-type cluster members using F160W magnitudes from a companion paper, finding α = 0.25 ± 0.05 and intrinsic scatter 25 km/s. The calibrated relation is compared with six other strong-lensing clusters and found to be consistent with no significant redshift evolution. The kinematic catalogue and scaling relation are intended as priors for strong lensing models used for H0 measurement from the two lensed supernovae.
Significance. If the measured velocity dispersions and the resulting Faber-Jackson calibration are reliable, this paper provides a valuable data product for cluster lensing cosmology: a complete spectroscopic member sample, new multiply imaged background sources, and a direct kinematic prior on the dPIE velocity dispersion parameters that break a known degeneracy in cluster lens models. The data reduction is careful and the redshift catalogue is a concrete deliverable. The main weakness is that the two load-bearing ingredients for the FJ claim, the velocity dispersion error calibration and the FJ fit, rest on materials that are either unpublished or disputed by an independent measurement, so the paper's central reliability claim is not yet fully supported.
major comments (3)
- [Section 4.1, Table 1] The velocity dispersion for ID MUSE 930 (97 ± 5 km/s) differs by ~70 km/s from the independent measurement of Flowers et al. (2024) (167 ± 15 km/s), and ID MUSE 873 differs by ~50 km/s (238 ± 2 vs 291 ± 3 km/s). Because ID 930 is one of the 13 points used to fit the Faber-Jackson relation, the authors should demonstrate that the fitted parameters (α, σ_v,ref, Δσ_v) are robust to this possible systematic. A straightforward sensitivity test would be to refit the relation without ID 930 (or using the Flowers et al. value) and report the resulting parameters; without such a test, the claim that the calibrated slope is reliable is not yet established.
- [Section 4.1] The uncertainty on each σ_v value is derived from a calibration based on 16,000 simulated spectra that is described only in the unpublished Granata et al. (in prep.) paper. Since these error bars enter directly into the Faber-Jackson likelihood and the quoted intrinsic scatter, the paper should either provide the essential elements of the simulation (input galaxy models, noise recipes, the fitted relative-uncertainty versus S/N relation) or include them in an appendix, so that the error estimates are reproducible and can be assessed by the reader.
- [Section 4.2, Eq. (1) and Table 2] The Faber-Jackson fit treats the F160W magnitudes from Ertl et al. (2025) as fixed (not explicitly including their uncertainties). If magnitude errors are non-negligible, the fitted slope α could be biased. Please clarify whether the likelihood adopted from Bergamini et al. (2019) includes errors on both variables, and if not, provide a quantitative statement of the impact of magnitude uncertainties on α and σ_v,ref.
minor comments (3)
- [Section 5] In the Summary, the paper states 'we report 4 lensed images of the host of SN Encore and SN Requiem, and 11 images from three other lensed background sources', which sums to 15, but the catalogue in Section 3.2 and Table A.1 lists 13 multiply lensed images in total, with 9 images from the three other sources. Please correct the count.
- [Section 2] There are typographical issues, e.g., 'reduced e ffective exposure time' and 'James WebbSpace Telescope'; please fix the spacing.
- [Section 4.1] The sentence 'we probed the relative uncertainty on the value of sigma as a function of S/N from the 1σ scatter of the recovered σv values about the input velocity dispersion of the 16,000 simulated spectra' could be reworded for clarity, e.g., 'we measured the relative uncertainty as a function of S/N from the 1σ scatter of the recovered σv values about the input values.'
Circularity Check
No circularity found: the redshifts, velocity dispersions, and Faber-Jackson slope are direct measurements or explicit fits; companion-paper dependencies affect calibration provenance, not derivation.
full rationale
The paper's central results are not derived from the model they are meant to constrain. Redshifts come from direct spectral-line identification in MUSE data (Section 3), with quality flags assigned from template matching and emission-line shapes. The stellar velocity dispersions come from pPXF full-spectrum fits shown in Appendix B, and the Faber-Jackson relation is an explicit MCMC fit of Equation (1) to the measured sigma values and F160W magnitudes, not a prediction from the relation itself. The recovered normalization being consistent with the reference galaxy's measured sigma is expected from the definition of the reference magnitude in Equation (1), but it is presented only as a consistency note, not as an independent prediction. The reliance on Granata et al. (in prep.) for the 16,000 simulated spectra calibrating the S/N threshold and uncertainties is a verifiability or provenance concern, since that companion paper is unpublished and partly overlaps in authorship; however, the actual sigma values are measured, not imported from that paper, and the uncertainities are the only part resting on the simulations. Similarly, the dPIE approximation and Faber-Jackson prior methodology are cited from published work (Bergamini et al. 2019), which provides methodological support rather than a reduction of this paper's outputs to its inputs. The disagreements with Flowers et al. (2024) on two sigma values are a systematic-bias risk that belongs to correctness assessment, not circularity. No step in the paper derives a target quantity from that same quantity by construction or via a self-citation chain.
Assumptions & free parameters
free parameters (3)
- Faber-Jackson slope alpha =
0.25 (+0.05, -0.05)
- Velocity dispersion normalization sigma_v,ref =
206 (+14, -13) km/s
- Intrinsic scatter Delta_sigma_v =
25 (+6, -4) km/s
assumptions (4)
- domain assumption Member galaxy halos are described by truncated dPIE profiles with vanishing core radius, and the dPIE velocity dispersion parameter equals the central stellar velocity dispersion.
- domain assumption Total luminosity in F160W is a good proxy for total stellar mass and follows a single power-law Faber-Jackson relation for early-type cluster members.
- domain assumption The pPXF fitting configuration (462 XSL templates, 12th-degree additive polynomials, Gaussian LOSVD) recovers unbiased velocity dispersions when S/N >= 10.
- domain assumption GALEV synthetic early-type spectra provide adequate K-corrections to compare magnitudes across seven clusters in the rest-frame J band.
Cite this review
Pith. "Pith review of Cosmology with Supernova Encore in the lensing cluster MACS J0138$-$2155 -- Spectroscopy with MUSE." pith.science (2026). https://pith.science/paper/5AWW7KXJ
@misc{pith2026241213250,
author = {Pith},
title = {Pith review of: Cosmology with Supernova Encore in the lensing cluster MACS J0138$-$2155 -- Spectroscopy with MUSE},
year = {2026},
howpublished = {\url{https://pith.science/paper/5AWW7KXJ}},
note = {Machine review of arXiv:2412.13250}
}
abstract
We present a spectroscopic analysis of MACS J0138$-$2155, at $z=0.336$, the first galaxy cluster hosting two strongly-lensed supernovae (SNe), Requiem and Encore, providing us with a chance to obtain a reliable $H_0$ measurement from the time delays between the multiple images. We take advantage of new data from the Multi Unit Spectroscopic Explorer (MUSE) on the Very Large Telescope, covering a central $1 \rm \, arcmin^2$ of the lensing cluster, for a total depth of 3.7 hours, including 2.9 hours recently obtained by our Target of Opportunity programme. Our new spectroscopic catalogue contains reliable redshifts for 107 objects, including 50 galaxy cluster members with secure redshift values in the range $0.324 < z < 0.349$, and 13 lensed multiple images from four background sources between $0.767\leq z \leq 3.420$, including four images of the host galaxy of the two SNe. We exploit the MUSE data to study the stellar kinematics of 14 bright cluster members and two background galaxies, obtaining reliable measurements of their line-of-sight velocity dispersion. Finally, we combine these results with measurements of the total magnitude of the cluster members in the Hubble Space Telescope F160W band to calibrate the Faber-Jackson relation between luminosity and stellar velocity dispersion ($L \propto \sigma^{1/\alpha}$) for the early-type cluster member galaxies, measuring a slope $\alpha=0.25^{+0.05}_{-0.05}$. A pure and complete sample of cluster member galaxies and a reliable characterisation of their total mass structure are key to building accurate total mass maps of the cluster, mitigating the impact of parametric degeneracies, which is necessary for inferring the value of $H_0$ from the measured time delays between the lensed images of the two SNe.
Figures
Figures from the paper (4 more)
Forward citations
Cited by 3 Pith papers
-
Microlensing of Microlensing: Effects of Random Stars on the Double-Source-Plane Gravitational Lens
First numerical ray-shooting simulation of compound (two-plane) quasar microlensing in the double-source-plane lens J1721+8842 shows new caustic morphologies — convexity violations and lip caustics — that do not occur...
-
Cosmic CORALS: Timing the Universe with high-z star clusters
Star clusters at z=9.6 combined with local globular cluster ages give H0=70(+27,-16) km/s/Mpc and Omega_m=0.33(+0.37,-0.21), with a forecast that ~300 clusters could reach 4% precision.
-
Spectroscopic and X-ray Modeling of the Strong Lensing Galaxy Cluster MACS J0138.0-2155
MACS J0138.0-2155 is measured to have an X-ray temperature of 6.7 keV and a velocity dispersion of about 718 km/s, giving mass estimates around 5 x 10^14 solar masses.
Reference graph
Works this paper leans on
-
[1]
, " * write output.state after.block = add.period write newline
ENTRY address author booktitle chapter edition editor howpublished institution journal key month note number organization pages publisher school series title type volume year label extra.label sort.label short.list INTEGERS output.state before.all mid.sentence after.sentence after.block FUNCTION init.state.consts #0 'before.all := #1 'mid.sentence := #2 '...
-
[2]
write newline
" write newline "" before.all 'output.state := FUNCTION n.dashify 't := "" t empty not t #1 #1 substring "-" = t #1 #2 substring "--" = not "--" * t #2 global.max substring 't := t #1 #1 substring "-" = "-" * t #2 global.max substring 't := while if t #1 #1 substring * t #2 global.max substring 't := if while FUNCTION word.in bbl.in " " * FUNCTION format....
-
[3]
Acebron , A., Grillo , C., Bergamini , P., et al. 2022 a , , 668, A142
work page 2022
-
[4]
Acebron , A., Grillo , C., Bergamini , P., et al. 2022 b , , 926, 86
work page 2022
-
[5]
P., Tollerud , E
Astropy Collaboration , Robitaille , T. P., Tollerud , E. J., et al. 2013, , 558, A33
2013
- [6]
- [7]
-
[8]
2024, , 527, 3246
Beauchesne , B., Cl \'e ment , B., Hibon , P., et al. 2024, , 527, 3246
2024
Show all 70 references
-
[9]
2023 a , , 670, A60
Bergamini , P., Acebron , A., Grillo , C., et al. 2023 a , , 670, A60
2023
-
[10]
2023 b , , 674, A79
Bergamini , P., Grillo , C., Rosati , P., et al. 2023 b , , 674, A79
2023
-
[11]
2019, , 631, A130
Bergamini , P., Rosati , P., Mercurio , A., et al. 2019, , 631, A130
2019
-
[12]
B., Grillo , C., Rosati , P., et al
Caminha , G. B., Grillo , C., Rosati , P., et al. 2016, , 587, A80
2016
-
[13]
B., Grillo , C., Rosati , P., et al
Caminha , G. B., Grillo , C., Rosati , P., et al. 2023, , 678, A3
2023
-
[14]
B., Rosati , P., Grillo , C., et al
Caminha , G. B., Rosati , P., Grillo , C., et al. 2019, , 632, A36
2019
-
[15]
2017, , 466, 798
Cappellari , M. 2017, , 466, 798
2017
-
[16]
2023, , 526, 3273
Cappellari , M. 2023, , 526, 3273
2023
-
[17]
& Emsellem , E
Cappellari , M. & Emsellem , E. 2004, , 116, 138
2004
-
[18]
2022, , 666, A78
Claeyssens , A., Richard , J., Blaizot , J., et al. 2022, , 666, A78
2022
-
[19]
2019, , 628, A3
de La Vieuville , G., Bina , D., Pello , R., et al. 2019, , 628, A3
2019
-
[20]
2020, , 491, 2639
Dhawan , S., Johansson , J., Goobar , A., et al. 2020, , 491, 2639
2020
-
[21]
2020, arXiv e-prints, arXiv:2007.10716
Efstathiou , G. 2020, arXiv e-prints, arXiv:2007.10716
2020 arXiv
-
[22]
2007, arXiv e-prints, arXiv:0710.5636
El \' asd \'o ttir , \'A ., Limousin , M., Richard , J., et al. 2007, arXiv e-prints, arXiv:0710.5636
2007 arXiv
-
[23]
Faber , S. M. & Jackson , R. E. 1976, , 204, 668
1976
-
[24]
W., Lang , D., & Goodman , J
Foreman-Mackey , D., Hogg , D. W., Lang , D., & Goodman , J. 2013, , 125, 306
2013
-
[25]
L., Madore , B
Freedman , W. L., Madore , B. F., Jang , I. S., et al. 2024, arXiv e-prints, arXiv:2408.06153
2024 arXiv
-
[26]
2020, , 634, A133
Gonneau , A., Lyubenova , M., Lan c on , A., et al. 2020, , 634, A133
2020
-
[27]
& Weare , J
Goodman , J. & Weare , J. 2010, Communications in Applied Mathematics and Computational Science, Vol. 5, No. 1, p. 65-80, 2010, 5, 65
2010
-
[28]
2023, , 679, A124
Granata , G., Bergamini , P., Grillo , C., et al. 2023, , 679, A124
2023
-
[29]
2022, , 659, A24
Granata , G., Mercurio , A., Grillo , C., et al. 2022, , 659, A24
2022
-
[30]
H., et al
Grillo , C., Karman , W., Suyu , S. H., et al. 2016, , 822, 78
2016
-
[31]
H., et al
Grillo , C., Rosati , P., Suyu , S. H., et al. 2018, , 860, 94
2018
-
[32]
H., Rosati , P., et al
Grillo , C., Suyu , S. H., Rosati , P., et al. 2015, , 800, 38
2015
-
[33]
R., Millman, K
Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357–362
2020
- [34]
-
[35]
Hunter, J. D. 2007, Computing in Science & Engineering, 9, 90
2007
-
[36]
C., et al
Jauzac , M., Mahler , G., Edge , A. C., et al. 2019, , 483, 3082
2019
-
[37]
L., Rodney , S., Treu , T., et al
Kelly , P. L., Rodney , S., Treu , T., et al. 2023, Science, 380, abh1322
2023
-
[38]
2009, , 396, 462
Kotulla , R., Fritze , U., Weilbacher , P., & Anders , P. 2009, , 396, 462
2009
-
[39]
J., Richard , J., Bauer , F
Lagattuta , D. J., Richard , J., Bauer , F. E., et al. 2022, , 514, 497
2022
-
[40]
2023, , 678, L2
Meneghetti , M., Cui , W., Rasia , E., et al. 2023, , 678, L2
2023
-
[41]
2020, Science, 369, 1347
Meneghetti , M., Davoli , G., Bergamini , P., et al. 2020, Science, 369, 1347
2020
-
[42]
2022, , 668, A188
Meneghetti , M., Ragagnin , A., Borgani , S., et al. 2022, , 668, A188
2022
-
[43]
2021, , 656, A147
Mercurio , A., Rosati , P., Biviano , A., et al. 2021, , 656, A147
2021
-
[44]
2022, Living Reviews in Relativity, 25, 6
Moresco , M., Amati , L., Amendola , L., et al. 2022, Living Reviews in Relativity, 25, 6
2022
-
[45]
& Kneib , J.-P
Natarajan , P. & Kneib , J.-P. 1997, , 287, 833
1997
-
[46]
F., Frenk , C
Navarro , J. F., Frenk , C. S., & White , S. D. M. 1997, , 490, 493
1997
-
[47]
B., Belli, S., Ellis, R
Newman, A. B., Belli, S., Ellis, R. S., & Patel, S. G. 2018 a , The Astrophysical Journal, 862, 125
2018
-
[48]
B., Belli, S., Ellis, R
Newman, A. B., Belli, S., Ellis, R. S., & Patel, S. G. 2018 b , The Astrophysical Journal, 862, 126
2018
-
[49]
& Marshall , P
Oguri , M. & Marshall , P. J. 2010, , 405, 2579
2010
-
[50]
Pierel , J. D. R., Frye , B. L., Pascale , M., et al. 2024 a , , 967, 50
2024
-
[51]
Pierel , J. D. R., Newman , A. B., Dhawan , S., et al. 2024 b , , 967, L37
2024
-
[52]
2020, , 641, A6
Planck Collaboration . 2020, , 641, A6
2020
-
[53]
M., Sip o cz , B
Price-Whelan , A. M., Sip o cz , B. M., G \"u nther , H. M., et al. 2018, , 156, 123
2018
-
[54]
2022, , 665, A16
Ragagnin , A., Meneghetti , M., Bassini , L., et al. 2022, , 665, A16
2022
-
[55]
1964, , 128, 307
Refsdal , S. 1964, , 128, 307
1964
-
[56]
2015, , 446, L16
Richard , J., Patricio , V., Martinez , J., et al. 2015, , 446, L16
2015
-
[57]
G., Anand, G
Riess, A. G., Anand, G. S., Yuan, W., et al. 2024, The Astrophysical Journal Letters, 962, L17
2024
-
[58]
G., Scolnic , D., Anand , G
Riess , A. G., Scolnic , D., Anand , G. S., et al. 2024, arXiv e-prints, arXiv:2408.11770
2024 arXiv
-
[59]
G., Yuan, W., Macri, L
Riess, A. G., Yuan, W., Macri, L. M., et al. 2022, The Astrophysical Journal Letters, 934, L7
2022
-
[60]
A., Brammer, G
Rodney, S. A., Brammer, G. B., Pierel, J. D., et al. 2021, Nature Astronomy 2021 5:11, 5, 1118
2021
-
[61]
T., Lilly , S
Soto , K. T., Lilly , S. J., Bacon , R., Richard , J., & Conseil , S. 2016, , 458, 3210
2016
-
[62]
Suyu , S. H. & Halkola , A. 2010, , 524, A94
2010
-
[63]
T., Tuan-Anh , P., Pello , R., et al
Thai , T. T., Tuan-Anh , P., Pello , R., et al. 2023, , 678, A139
2023
-
[64]
C., & Varoquaux , G
van der Walt , S., Colbert , S. C., & Varoquaux , G. 2011, Computing in Science Engineering, 13, 22
2011
-
[65]
& Drake, F
Van Rossum, G. & Drake, F. L. 2009, Python 3 Reference Manual (Scotts Valley, CA: CreateSpace)
2009
-
[66]
E., et al
Virtanen , P., Gommers , R., Oliphant , T. E., et al. 2020, Nature Methods, 17, 261
2020
-
[67]
M., Palsa , R., Streicher , O., et al
Weilbacher , P. M., Palsa , R., Streicher , O., et al. 2020, , 641, A28
2020
-
[68]
2018, , 562, 229
Wisotzki , L., Bacon , R., Brinchmann , J., et al. 2018, , 562, 229
2018
-
[69]
& Hjorth , J
Wojtak , R. & Hjorth , J. 2022, , 515, 2790
2022
-
[70]
& Hjorth , J
Wojtak , R. & Hjorth , J. 2024, , 533, 2319
2024
Reviewed August 11, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.