REVIEW 4 major objections 4 minor 55 references
Using a model-independent calibration of the X-ray–ultraviolet luminosity relation for 2038 quasars, this paper finds that quasars currently fail as reliable cosmological distance indicators when added to supernova, BAO, and CMB data.
Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →
T0 review · deepseek-v4-flash
2026-08-04 19:52 UTC pith:CWQKTPNA
load-bearing objection The 'quasars fail' claim is likely an artifact of an understated error budget and an unvalidated Bezier extrapolation, though the paper reports the analysis honestly and deserves a revision, not a desk rejection. the 4 major comments →
On the Reliability of Quasars as Cosmological Distance Indicators
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The central discovery is negative. After calibrating the log-LX–log-LUV relation with a Bézier polynomial fit to 28 cosmic-chronometer Hubble-parameter measurements at z≤1.43, the authors build distance moduli for the full 2038-quasar sample and fit flat ΛCDM and ωCDM models. Adding the quasars to otherwise standard combinations shifts Ω_m from about 0.28–0.33 to about 0.52–0.72 and, in the ωCDM case, moves the dark-energy equation of state from near −1 to values like −0.7 to −0.9, depending on the dataset. Because the luminosity-relation slope and intercept remain statistically consistent with earlier determinations, the paper attributes the failure to the calibration-to-cosmology step rath
What carries the argument
The load-bearing object is a degree-2 Bézier polynomial, a smooth polynomial curve used to represent the Hubble parameter H(z). It is fitted to 28 chronometer H(z) measurements at z≤1.43, fixing H0 as its zeroth coefficient. That polynomial is then integrated to produce calibrated luminosity distances out to z≈7.5, and those distances are inserted into the flux form of the log-LX–log-LUV relation to obtain quasar distance moduli. The same relation's slope and intercept, fitted with a Bayesian regression that handles measurement errors and intrinsic scatter, carry the calibration. The entire high-redshift quasar signal flows through the extrapolation of this quadratic curve beyond the redshif
Load-bearing premise
The claim rests on the assumption that the quadratic Bézier curve fitted to H(z) data at z≤1.43 remains the true expansion history when integrated out to z≈7.5; if that extrapolation is wrong, the high-z quasar distances, the calibration parameters, and every cosmological constraint built on them are biased.
What would settle it
Re-run the full analysis with the H(z) reconstruction replaced by a nonparametric smoother or a higher-order Bézier curve, and with the calibration tested on mock quasar catalogs of known cosmology. If Ω_m and ω0 return to standard values, the failure is an artifact of the quadratic extrapolation; if they stay shifted, quasars genuinely fail.
If this is right
- If quasars are unreliable at these high redshifts, then reported high-z quasar tensions with standard cosmology should not be interpreted as evidence for new physics until the calibration anchor is checked.
- Low-redshift quasar parameters remain stable, so the sample can still serve as a consistency check, but not as a primary distance indicator.
- Jointly sampling calibration and cosmological parameters propagates uncertainties more fully than fixing the calibration first; the stepwise route should be treated as a diagnostic, not as final.
- Reducing intrinsic scatter—through better X-ray/UV data or sample cuts—is a prerequisite for quasars to constrain dark energy.
- Cosmological fits that include quasars remain sensitive to the choice of H(z) anchor, so the anchor must be varied as a systematic.
Where Pith is reading between the lines
- If the high-z shift persists when the H(z) reconstruction is replaced by a more flexible smoother, then the failure is intrinsic to the calibration rather than an artifact of the quadratic extrapolation; if it disappears, the paper's strong conclusion weakens.
- A mock-catalog test with known input cosmology would quantify whether the stepwise route is biased and whether the joint fit actually recovers the input parameters; the paper lists this as future work.
- The abstract's softer framing—self-consistent constraints with limitations driven by scatter—sits uneasily beside the full-text conclusion that quasars fail. Readers should treat the strong claim as conditional on the Bézier anchor.
- The same calibration machinery could be applied to other high-redshift standardizable candles to see whether the systematics are shared across different astrophysical sources.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper calibrates the non-linear X-ray/UV luminosity relation of 2038 quasars using cosmic-chronometer H(z) data at z≤1.43 through a degree-2 Bézier fit, and then builds a quasar Hubble diagram extending to z≈7.5. The calibrated sample is combined with Pantheon+SH0ES supernovae, DESI DR2 BAO, and Planck compressed CMB data to fit flat ΛCDM and ωCDM models. The authors report that low-redshift calibration parameters agree with previous work, but that adding quasars shifts cosmological parameters strongly (e.g., Ωm≈0.63 and w0≈−0.70 in Tables 5–7), leading them to conclude that quasars fail as reliable distance indicators. The full text does not present the joint QSO+SN calibration–cosmology framework advertised in the arXiv abstract; it mentions such a simultaneous fit only as future work.
Significance. The question addressed is important: quasars are the main extragalactic probes of the z≈2–7 expansion history, and a robust reliability assessment would be a valuable contribution. The calibration is externally anchored to cosmic-chronometer H(z) data, so the analysis is not circular by construction; the paper also uses recent PPS, DESI DR2, and compressed Planck likelihoods, compares BCES and Linmix regressions, and is candid that its conclusion is not definitive. However, the central negative claim is not established by the analysis as presented. Two load-bearing problems—unvalidated high-redshift extrapolation of the Bézier H(z) fit and omission of the estimated intrinsic scatter from the quasar distance-modulus variance—directly affect the results in Tables 5–8. These issues are fixable, but the conclusion cannot be accepted until they are addressed.
major comments (4)
- [Section 2.2, Eqs. (5)–(8)] The degree-2 Bézier polynomial H2(z) is fitted to 28 cosmic-chronometer H(z) measurements at z≤1.43, but Eq. (8) integrates H2(z) to z≈7.5 to obtain quasar luminosity distances. The Bernstein basis is positive only on [0, z_m]; outside that interval the quadratic extrapolation is uncontrolled and is never validated against alternative smoothers or mocks. The high-z part of the Hubble diagram and the full-sample γ,β calibration therefore rest on an unvalidated functional choice, so the conclusion that quasars fail cannot be separated from this extrapolation. Section 6 lists cross-validation with splines/GPs as future work, confirming that this test is currently missing.
- [Section 5.3, Eq. (21), Tables 5–8] The quasar distance-modulus variance in Eq. (21) omits the intrinsic scatter δ estimated by Linmix. Table 3 gives δ≈0.237 for the low-z sample and δ≈0.231 for the full sample. Through Eq. (4) this contributes |5/[2(γ−1)]|δ ≈ 1.5 mag, which is an order of magnitude larger than the flux and parameter terms included in Eq. (21). The likelihood therefore overweights quasars relative to their actual scatter; the large parameter shifts in Tables 5–7 (e.g., Ωm=0.630 with PPS+DESI+low-z quasars) are likely an artifact of this understated error budget. The claim that quasars fail as distance indicators cannot be assessed until δ is added in quadrature or marginalized over consistently.
- [Section 2.2 and Eq. (21)] The covariance matrix of the Bézier coefficients β0, β1, β2 is displayed after Eq. (7) but is never propagated into the quasar distance moduli. The calibrated luminosity distance in Eq. (8) is used to determine γ and β, so the H(z) anchor uncertainty should enter σ_μ; Eq. (21) contains only γ, β, and flux uncertainties. This is a second omission in the error budget and weakens the claim of a fully model-independent calibration with reliably propagated uncertainties.
- [Abstract vs Sections 5–6] The abstract at the head of the arXiv record advertises a joint QSO+SN calibration–cosmology framework that yields self-consistent constraints, while the full text's abstract and conclusions state that quasars fail as distance indicators. The body does not present the joint framework; it is only mentioned as a future direction in Section 6. The central claim of the paper is therefore ambiguous, and the reader cannot tell which analysis is being reported. The abstract and main text must be reconciled, and the actual analysis presented in Sections 5–6 should be stated as the paper's result.
minor comments (4)
- [Section 2.1] Typo: "we binning the sample" should be "we bin the sample"; also "discrepances" in Section 5.1 should be "discrepancies."
- [Section 5.2, Eq. (20)] Equation (20) is written as a forward relation for F_X^cal given d_L^cal, but the text says the calibrated luminosity distance is obtained from it. Please clarify the inversion used to compute d_L^cal from observed fluxes.
- [Figure 2] The caption refers to "binned quasar DM" but DM is not defined; use the full phrase "distance modulus."
- [Section 5.3, Table 5] The text says H0 cannot be constrained once quasars are included, but Tables 5–7 leave H0 blank. Consider adding an explicit dash or statement in the table caption so the reader knows H0 is fixed by the calibration.
Circularity Check
Partial circularity: quasar distances are calibrated and tested on the same sample; the paper defers the circularity problem to future work.
specific steps
-
fitted input called prediction
[Sections 5.1–5.3, Eq. (20), Tables 3 and 5–8]
"The cosmological analysis is conducted only after this fitting procedure and relies exclusively on the low-redshift quasar sample and the full dataset."
The distance moduli used in the cosmological fits (Tables 5–8) are computed from the same quasar sample and the same best-fit gamma, beta that were obtained by fitting that sample (Table 3, Eq. 20). Thus the quasar 'data' are not independent predictions: they are in-sample reconstructions from the fitted LX-LUV relation. Using the same objects to calibrate and then to constrain cosmology double-counts the quasar fluxes and can force the cosmological parameters to absorb calibration residuals. The authors implicitly concede this by deferring a strategy to 'tackle the circularity problem' to a follow-up study.
-
other
[Section 6, Conclusions]
"We shall perform these alternative routes and compare strategies to tackle the circularity problem in a follow-up study."
This is an explicit acknowledgment that the present analysis contains a circularity that is not resolved here. In the context of the paper, the circularity is the reuse of the same quasar data for calibration and cosmological inference (Step 1). The admission supports the finding of partial circularity: the paper's central claim that quasars fail as distance indicators is not established until this circularity is addressed.
full rationale
The calibration is anchored to external cosmic-chronometer H(z) data (Capozziello et al. 2018), which is independent of the quasar fluxes and of the cosmological models tested, so there is no self-definitional circularity at the level of the distance scale. The main circularity is that the same 2038 quasars are used first to fit gamma and beta (Table 3) and then the fitted relation is inverted to assign distance moduli to those same objects (Eq. 20), which are then used as data in cosmological fits (Tables 5–8). This is an in-sample calibration: the predicted distances are not independent of the calibration, and the quasar likelihood can be artificially overconfident. The paper explicitly defers a strategy to tackle the circularity problem to a follow-up study. The omission of the intrinsic scatter delta (estimated ~0.237 dex for the low-z sample) from the distance-modulus variance in Eq. (21) is a serious statistical issue that amplifies the impact of the in-sample calibration, but it is not itself a circularity; it is an error-budget problem. The stepwise results supporting the 'quasars fail' conclusion also conflict with the arXiv abstract, which reports that the joint calibration-cosmology framework gives self-consistent constraints; this inconsistency weakens the reliability of the central negative claim, but it is not a circularity. The self-citation to Montiel et al. (2020) for the Bezier calibration method is load-bearing for the functional form, but that prior work applied the method to GRBs and is externally falsifiable, so it does not by itself make the derivation circular. Overall, the derivation has partial circularity because the quasar data used for cosmological inference are not independent of the calibration fit, but the external H(z) anchor provides independent content, preventing a higher score.
Axiom & Free-Parameter Ledger
free parameters (8)
- beta0 (H0 anchor) =
70.81 km/s/Mpc
- beta1 =
81.99
- beta2 =
179.02
- gamma (low-z) =
0.618 +/- 0.017
- beta (low-z intercept) =
7.824 +/- 0.522
- gamma (full sample) =
0.688 +/- 0.009
- beta (full sample intercept) =
5.747 +/- 0.264
- delta (intrinsic scatter) =
0.237 +/- 0.006 (low-z)
axioms (3)
- domain assumption The LX-LUV relation has no redshift evolution; gamma and beta are constants.
- ad hoc to paper H(z) is well described by a degree-2 Bezier polynomial over the full calibration and extrapolation range.
- domain assumption Spatial flatness, Omega_K = 0, holds for the calibration and for all cosmological models.
Cite this review
Pith. "Pith review of On the Reliability of Quasars as Cosmological Distance Indicators." pith.science (2026). https://pith.science/paper/CWQKTPNA
@misc{pith2026250908983,
author = {Pith},
title = {Pith review of: On the Reliability of Quasars as Cosmological Distance Indicators},
year = {2026},
howpublished = {\url{https://pith.science/paper/CWQKTPNA}},
note = {Machine review of arXiv:2509.08983}
}
read the original abstract
We assess the viability of quasars as cosmological distance indicators based on the non-linear $L_X$--$L_{\rm UV}$ relation. We calibrate this relation in a model-independent way by anchoring quasar luminosity distances to cosmic-chronometer $H(z)$ measurements over $z\leq 1.43$, and construct a quasar Hubble diagram extending up to $z\simeq 7.5$. We compare a traditional stepwise approach, in which the calibration is fixed before cosmological inference, with a joint QSO+SN calibration--cosmology framework where calibration and cosmological parameters are sampled simultaneously. The stepwise analysis, supplemented with DESI DR2 BAO measurements and Planck compressed CMB distance priors, is used as a diagnostic benchmark, while the joint framework, with and without the SH0ES $H_0$ information, provides our main cosmological results. We selected a low-$z$ quasar subsample ($z<1.43$), matching the redshift range of the cosmic-chronometer calibration, and found calibration parameters consistent with previous studies. However, the stepwise cosmological constraints can become unstable once quasars are included, reflecting the incomplete propagation of calibration uncertainties and calibration--cosmology degeneracies. In contrast, the joint analysis yields self-consistent constraints because the quasar calibration parameters are fitted simultaneously with the cosmological parameters, allowing these uncertainties and degeneracies to be propagated into the final posteriors. Our results indicate that the current limitations of quasar cosmology are driven mainly by intrinsic scatter and possible sample-dependent effects in the $L_X$--$L_{\rm UV}$ relation, rather than by a fundamental inconsistency with standard cosmology.
Figures
Reference graph
Works this paper leans on
-
[1]
Ade P. A. R., et al., 2016, @doi [Astron. Astrophys.] 10.1051/0004-6361/201525814 , 594, A14
-
[2]
Akritas M. G., Bershady M. A., 1996, @doi [Astrophys. J.] 10.1086/177901 , 470, 706
doi:10.1086/177901 1996
-
[3]
Andreon S., Hurn M., 2013, @doi [Statistical Analysis and Data Mining: The ASA Data Science Journal] 10.1002/sam.11173 , https://ui.adsabs.harvard.edu/abs/2013SADM....6...15A 9, 15
-
[4]
Audren B., Lesgourgues J., Benabed K., Prunet S., 2013, @doi [Journal of Cosmology and Astroparticle Physics] 10.1088/1475-7516/2013/02/001 , 2013, 001
-
[5]
A., 1977, @doi [APJ] 10.1086/155294 , https://ui.adsabs.harvard.edu/abs/1977ApJ...214..679B 214, 679
Baldwin J. A., 1977, @doi [APJ] 10.1086/155294 , https://ui.adsabs.harvard.edu/abs/1977ApJ...214..679B 214, 679
doi:10.1086/155294 1977
-
[6]
Dark Univ.] 10.1016/j.dark.2025.101983 , 49, 101983
Benetti M., Bargiacchi G., Risaliti G., Capozziello S., Lusso E., Signorini M., 2025, @doi [Phys. Dark Univ.] 10.1016/j.dark.2025.101983 , 49, 101983
arXiv 2025
-
[7]
J.] 10.3847/1538-4357/ac8e04 , 938, 110
Brout D., et al., 2022, @doi [Astrophys. J.] 10.3847/1538-4357/ac8e04 , 938, 110
-
[8]
Capozziello S., D'Agostino R., Luongo O., 2018, @doi [Mon. Not. Roy. Astron. Soc.] 10.1093/mnras/sty422 , 476, 3924
-
[9]
Chen L., Huang Q.-G., Wang K., 2019, @doi [JCAP] 10.1088/1475-7516/2019/02/028 , 1902, 028
-
[10]
DESI Collaboration et al., 2025, @doi [arXiv e-prints] 10.48550/arXiv.2503.14738 , https://ui.adsabs.harvard.edu/abs/2025arXiv250314738D p. arXiv:2503.14738
-
[11]
Franca F. L., Bianchi S., Ponti G., Branchini E., Matt G., 2014, @doi [The Astrophysical Journal Letters] 10.1088/2041-8205/787/1/L12 , 787, L12
-
[12]
Gelman A., Rubin D. B., 1992, @doi [Statist. Sci.] 10.1214/ss/1177011136 , 7, 457
arXiv 1992
-
[13]
Hachinger S., Mazzali P. A., Tanaka M., Hillebrandt W., Benetti S., 2008, @doi [Monthly Notices of the Royal Astronomical Society] 10.1111/j.1365-2966.2008.13645.x , 389, 1087
arXiv 2008
-
[14]
K., 1970, @doi [Biometrika] 10.1093/biomet/57.1.97 , 57, 97
Hastings W. K., 1970, @doi [Biometrika] 10.1093/biomet/57.1.97 , 57, 97
-
[15]
Herold L., Karwal T., 2025, @doi [arXiv e-prints] 10.48550/arXiv.2506.12004 , https://ui.adsabs.harvard.edu/abs/2025arXiv250612004H p. arXiv:2506.12004
-
[16]
Jimenez R., Loeb A., 2002, @doi [The Astrophysical Journal] 10.1086/340549 , 573, 37
doi:10.1086/340549 2002
-
[17]
Kelly B. C., 2007, @doi [Astrophys. J.] 10.1086/519947 , 665, 1489
doi:10.1086/519947 2007
-
[18]
Khadka N., Ratra B., 2021, @doi [Monthly Notices of the Royal Astronomical Society] 10.1093/mnras/stab486 , 502, 6140
-
[19]
Rev.] 10.1103/PhysRevD.66.063007 , D66, 063007
Kosowsky A., Milosavljevic M., Jimenez R., 2002, @doi [Phys. Rev.] 10.1103/PhysRevD.66.063007 , D66, 063007
-
[20]
Lesgourgues J., 2011, @doi [arXiv e-prints] 10.48550/arXiv.1104.2932 , https://ui.adsabs.harvard.edu/abs/2011arXiv1104.2932L p. arXiv:1104.2932
-
[21]
Li X., Keeley R. E., Shafieloo A., Zheng X., Cao S., Biesiada M., Zhu Z.-H., 2021, @doi [Monthly Notices of the Royal Astronomical Society] 10.1093/mnras/stab2154 , 507, 919
-
[22]
Li Z., Huang L., Wang J., 2022, @doi [Monthly Notices of the Royal Astronomical Society] 10.1093/mnras/stac2735 , 517, 1901
-
[23]
Lusso E., 2020, @doi [Frontiers in Astronomy and Space Sciences] 10.3389/fspas.2020.00008 , Volume 7 - 2020
arXiv 2020
-
[24]
Lusso E., Risaliti G., 2016, @doi [The Astrophysical Journal] 10.3847/0004-637X/819/2/154 , 819, 154
-
[25]
Lusso, E. Risaliti, G. 2017, @doi [A&A] 10.1051/0004-6361/201630079 , 602, A79
-
[26]
et al., 2010, @doi [A&A] 10.1051/0004-6361/200913298 , 512, A34
Lusso, E. et al., 2010, @doi [A&A] 10.1051/0004-6361/200913298 , 512, A34
-
[27]
Astrophys.] 10.1051/0004-6361/202038899 , 642, A150
Lusso E., et al., 2020, @doi [Astron. Astrophys.] 10.1051/0004-6361/202038899 , 642, A150
-
[28]
Astrophys.] 10.1051/0004-6361/202453504 , 697, A108
Lusso E., Risaliti G., Nardini E., 2025, @doi [Astron. Astrophys.] 10.1051/0004-6361/202453504 , 697, A108
-
[29]
Metropolis N., Rosenbluth A. W., Rosenbluth M. N., Teller A. H., Teller E., 1953, @doi [J. Chem. Phys.] 10.1063/1.1699114 , 21, 1087
-
[30]
Montiel A., Cabrera J. I., Hidalgo J. C., 2020, @doi [Mon. Not. Roy. Astron. Soc.] 10.1093/mnras/staa3926
-
[31]
Moresco M., 2015, @doi [Monthly Notices of the Royal Astronomical Society: Letters] 10.1093/mnrasl/slv037 , 450, L16
-
[32]
Moresco M., Jimenez R., Verde L., Cimatti A., Pozzetti L., 2020, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2020arXiv200307362M p. arXiv:2003.07362
Pith/arXiv arXiv 2020
-
[33]
J., et al., 2011, @doi [Nature] 10.1038/nature10159 , 474, 616–619
Mortlock D. J., et al., 2011, @doi [Nature] 10.1038/nature10159 , 474, 616–619
-
[34]
Rev.] 10.1103/PhysRevD.78.083529 , D78, 083529
Mukherjee P., Kunz M., Parkinson D., Wang Y., 2008, @doi [Phys. Rev.] 10.1103/PhysRevD.78.083529 , D78, 083529
-
[35]
B., 2006, An Introduction to Copulas
Nelsen R. B., 2006, An Introduction to Copulas. Springer Series in Statistics
2006
-
[36]
Newville M., Stensitzki T., Allen D. B., Ingargiola A., 2014, LMFIT: Non-Linear Least-Square Minimization and Curve-Fitting for Python , @doi 10.5281/zenodo.11813 , https://doi.org/10.5281/zenodo.11813
-
[37]
S., Shields J
Osmer P. S., Shields J. C., 1999, ASP Conf. Ser., 162, 235
1999
-
[38]
Planck Collaboration et al., 2018, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2018arXiv180706209P p. arXiv:1807.06209
Pith/arXiv arXiv 2018
-
[39]
G., et al., 1998, @doi [Astron
Riess A. G., et al., 1998, @doi [Astron. J.] 10.1086/300499 , 116, 1009
doi:10.1086/300499 1998
-
[40]
G., et al., 2007, @doi [The Astrophysical Journal] 10.1086/510378 , 659, 98
Riess A. G., et al., 2007, @doi [The Astrophysical Journal] 10.1086/510378 , 659, 98
doi:10.1086/510378 2007
-
[41]
Riess A. G., et al., 2022, @doi [ ] 10.3847/2041-8213/ac5c5b , https://ui.adsabs.harvard.edu/abs/2022ApJ...934L...7R 934, L7
-
[42]
Risaliti G., Lusso E., 2015, @doi [The Astrophysical Journal] 10.1088/0004-637x/815/1/33 , 815, 33
-
[43]
Nachr.] 10.1002/asna.201713351 , 338, 329
Risaliti G., Lusso E., 2017, @doi [Astron. Nachr.] 10.1002/asna.201713351 , 338, 329
-
[44]
Risaliti G., Lusso E., 2019, @doi [Nature Astron.] 10.1038/s41550-018-0657-z , 3, 272
-
[45]
et al., 2022, @doi [A&A] 10.1051/0004-6361/202243411 , 663, L7
Sacchi, A. et al., 2022, @doi [A&A] 10.1051/0004-6361/202243411 , 663, L7
-
[46]
M., et al., 2018, @doi [Astrophys
Scolnic D. M., et al., 2018, @doi [Astrophys. J.] 10.3847/1538-4357/aab9bb , 859, 101
-
[47]
Scolnic D., et al., 2022, @doi [The Astrophysical Journal] 10.3847/1538-4357/ac8b7a , 938, 113
-
[48]
Astrophys.] 10.1051/0004-6361/202348941 , 687, A32
Signorini M., Risaliti G., Lusso E., Nardini E., Bargiacchi G., Sacchi A., Trefoloni B., 2024, @doi [Astron. Astrophys.] 10.1051/0004-6361/202348941 , 687, A32
-
[49]
Tananbaum H., et al., 1979, @doi [ ] 10.1086/183100 , https://ui.adsabs.harvard.edu/abs/1979ApJ...234L...9T 234, L9
doi:10.1086/183100 1979
-
[50]
Vagnetti, F. Turriziani, S. Trevese, D. Antonucci, M. 2010, @doi [A&A] 10.1051/0004-6361/201014320 , 519, A17
-
[51]
Rev.] 10.1103/PhysRevD.76.103533 , D76, 103533
Wang Y., Mukherjee P., 2007, @doi [Phys. Rev.] 10.1103/PhysRevD.76.103533 , D76, 103533
-
[52]
Wang J.-M., Du P., Valls-Gabaud D., Hu C., Netzer H., 2013, @doi [Phys. Rev. Lett.] 10.1103/PhysRevLett.110.081301 , 110, 081301
-
[53]
Wang B., Liu Y., Yuan Z., Liang N., Yu H., Wu P., 2022, @doi [The Astrophysical Journal] 10.3847/1538-4357/ac9df8 , 940, 174
-
[54]
J.] 10.3847/1538-4357/ad1ab5 , 962, 103
Wang B., Liu Y., Yu H., Wu P., 2024, @doi [Astrophys. J.] 10.3847/1538-4357/ad1ab5 , 962, 103
-
[55]
Zamorani G., et al., 1981, @doi [ ] 10.1086/158815 , https://ui.adsabs.harvard.edu/abs/1981ApJ...245..357Z 245, 357
doi:10.1086/158815 1981
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