REVIEW 2 major objections 4 minor 118 references
The XXL Survey LIV. X-ray Luminosity Function and Luminosity-Mass Relation of Optically Selected Galaxy Groups
T0 review · 2 major / 4 minor · reviewed 2026-08-08 · deepseek-v4-flash
Pith's one-line read An optically selected sample of 235 galaxy groups shows that X-ray luminosity rises steeply with mass, with a slope of 1.87, steeper than the self-similar expectation and pointing to non-gravitational feedback.
desk verdict Careful, well-documented measurement of the XLF and LM relation for optically selected groups; the headline slope is plausible but its quoted error ignores HMF systematics. 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 key machinery is a forward model that starts from the Tinker et al. (2008) halo mass function and a power-law luminosity–mass relation, predicts the XLF, and fits the predicted XLF to the observed one. The observed XLF is built from per-group luminosity posterior probability distributions obtained by forced aperture photometry and Poisson count-rate likelihoods, so formally undetected groups still contribute. A modified Schechter function with pivot at $10^{42}$ erg/s and a 1/Vmax volume correction are used, and the fit is restricted to luminosities above $10^{40}$.6 erg/s where the sample is complete. The scatter in luminosity enters through a Gaussian prior, N(0.2, 0.1), which is degenerate with the normalisation, so the reported normalisation is an upper limit.
What would settle it
Measure X-ray luminosities and independent masses (weak lensing or caustics) for the same 235 groups; if the luminosity–mass slope is consistent with 1 rather than 1.87, the steep slope is an artifact of the assumed halo mass function, not a real astrophysical signal.
Extended reading notes
Core claim
The central claim is that when the observed XLF of optically selected groups is mapped onto a theoretical halo mass function, the required luminosity–mass relation is L_X = A E(z)^2 (M/M0)^B with A = (0.17 ± 0.07) × $10^{43}$ erg/s and B = 1.87 ± 0.12 at M0 = 5 × $10^{13}$ solar masses. This slope is steeper than the self-similar expectation of about 1 in the 0.5–2 keV band, and steeper still than the self-similar prediction once line emission is included, making the measured steepening a lower limit on the effect of non-gravitational processes. The same data also show that the XLF extends more than an order of magnitude fainter than X-ray-selected samples while agreeing with their extrapolation, and that the normalisation of the LM relation is lower than in most X-ray-selected samples, consistent with X-ray selection favouring X-ray bright groups.
Load-bearing premise
The inference that the luminosity–mass slope is 1.87 assumes the Tinker halo mass function is accurate for group-scale halos near $10^{13}$ solar masses, because the LM relation is solved for by requiring the product of that mass function and the LM relation to reproduce the observed XLF.
Editorial extensions
If this is right
- The optically selected GAMA XLF is consistent with the extrapolation of X-ray-selected XLFs (REFLEX II, WARPS, XXL, eFEDS) above 10^42 erg/s, extending the measured luminosity range down to about 10^40.6 erg/s.
- The LM relation slope of 1.87 ± 0.12 implies that low-mass groups are fainter in X-rays than self-similar scaling predicts, so AGN feedback and related processes must remove or heat gas in shallow potential wells.
- The lower normalisation relative to X-ray-selected samples suggests that X-ray-selected group samples miss a population of X-ray underluminous groups, and that simple bias corrections may not fully capture this.
- Applying the same XLF-to-HMF mapping to eROSITA data with all-sky optical surveys would extend LM relation constraints to higher redshift and lower mass.
Reading between the lines
- If the true intrinsic scatter in luminosity at fixed mass is larger than the adopted prior, the normalisation would drop further and the steep slope would be even more notable; a direct measurement of scatter from stacked or lensing-calibrated samples would test this.
- The steepening slope with decreasing mass might be better described by a broken power law with a break near 10^14 solar masses, as suggested by simulations; the GAMA data alone cannot distinguish this from a single power law.
- The method's success at including formally undetected groups suggests that stacking X-ray data in optical group samples could push XLF measurements another factor of a few fainter, where baryon effects are strongest.
- A systematic error in the low-mass end of the halo mass function would shift the inferred slope; comparing the same XLF with mass functions calibrated by weak lensing or clustering would isolate that.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper measures X-ray luminosities of 235 optically selected GAMA groups in the XXL North field using forced aperture photometry, propagating Poisson count-rate posteriors into luminosity posteriors. From these it constructs the 0.5–2 keV X-ray luminosity function down to luminosities about an order of magnitude fainter than typical X-ray-selected samples, fits a Schechter function with slope alpha = 1.66 +/- 0.05, and then uses the Tinker et al. (2008) halo mass function to infer the luminosity–mass relation L_x = A E(z)^C (M/M0)^B, obtaining B = 1.87 +/- 0.12 at M0 = 5e13 Msun. The paper interprets the steep slope relative to self-similarity as evidence for non-gravitational processes in low-mass groups, and compares the relation with published X-ray- and optically-selected samples and with simulations.
Significance. The dataset and method are valuable: the sample is free of X-ray selection by construction, the use of full luminosity posteriors instead of point estimates with upper limits is a strength, and the comparison with XXL, eFEDS, and other studies gives useful context. The paper also tests several modelling assumptions (minimum ECF temperature, abundance, beta-profile slope, richness threshold, cosmology) and reports their impact. If the central slope measurement is robust, it is an important observational anchor for feedback models in the group regime. The main quantitative claim, however, currently lacks a full systematic error treatment, so the significance is contingent on the fixes described below.
major comments (2)
- [Section 4, Eqs. (5)–(6)] The number densities in adjacent XLF bins are correlated because the same luminosity posterior contributes to multiple bins through the r_i integrals in Eq. (5). The Monte Carlo sigma_nj in Eq. (6) characterises the marginal uncertainty in each bin, but the likelihood used for the Schechter fit (and subsequently for the LM fit in Section 5) treats the n_j as independent lognormal variates. This ignores the bin-to-bin covariance and can understate the uncertainties on alpha and hence on the inferred B. I ask the authors to include the full covariance matrix from the Monte Carlo realisations in the likelihood, or to demonstrate quantitatively that the bin width makes the correlations negligible for the fitted parameters.
- [Section 5, Eq. (7)] The slope B is inferred by requiring the product of the Tinker et al. (2008) halo mass function and the LM relation to reproduce the observed XLF. To first order, B is proportional to the local logarithmic slope of the assumed HMF at the pivot mass, so systematic uncertainty in that slope propagates almost linearly into B. The quoted error B = 1.87 +/- 0.12 includes only the statistical XLF uncertainty. The Planck18 comparison in Section 5 shifts B to 1.76, a change comparable to the quoted error, and it tests only the adopted cosmology, not the calibration of the HMF at M ~ 5e13 Msun (mass definition, fitting-function scatter, or baryonic effects). I request a quantitative HMF systematic budget before the steepening relative to self-similarity is presented as robust.
minor comments (4)
- [Section 5, Fig. 11] The posterior for sigma_L closely follows the adopted Gaussian prior N(0.2, 0.1), and the paper already states that the normalisation can be regarded as an upper limit. This caveat should be carried explicitly into the normalisation comparisons in Section 6.3 and Figure 14, where A is compared with other studies.
- [Figure 6] The legend label 'No oint source nearby' contains a typo; it should read 'No point source nearby'.
- [Section 6.1] The phrase 'we would expect that we should observe some some Eddington bias' contains a duplicated 'some'.
- [Section 3.2] The text says 'self-consistant'; the correct spelling is 'self-consistent'.
Circularity Check
No significant circularity: the LM slope is inferred, not predicted, from an external HMF and an independently measured XLF.
full rationale
The paper's central result, B=1.87±0.12, is a fit, not a prediction: the XLF is measured from forced aperture photometry (Section 4) and then used, together with the external Tinker et al. (2008) HMF, to infer the LM relation via forward modeling (Section 5). The text is explicit: 'In effect, we will infer the form of the LM relation required to map the observed XLF onto a known HMF.' Thus the agreement between the forward model and the observed XLF is the fitting criterion, not an independent confirmation; no out-of-sample prediction is claimed. The mass scale is anchored externally by Tinker et al. (2008), with the GAMA-based HMF reconstruction of Driver et al. (2022) cited only as broad agreement; that citation is an independent empirical check, not the source of the slope. The scatter sigma_L is admitted to be prior-dominated, and the normalization is explicitly an upper limit, so no fitted input is disguised as a prediction. The WMAP9-vs-Planck cosmology test shifts B from 1.87 to 1.76, within 1 sigma; this is a systematic uncertainty, not a circular reduction. The luminosity cut at 10^40.6 was chosen in Section 4 from mode-zero posterior dominance before the LM fit, and the later conversion of the GAMA mass completeness limit via the best-fit LM relation is a post-hoc consistency check, not a load-bearing circular step. No self-citation carries the argument: Tinker et al. (2008) is external, and comparisons to other LM studies are independent. No step reduces by construction to its own input, so the circularity score is 0.
Assumptions & free parameters
free parameters (9)
- LM slope B =
1.87 +/- 0.12
- LM normalization A =
(0.17 +/- 0.07) x 10^43 erg/s
- Intrinsic scatter sigma_L =
0.21 +/- 0.09 (posterior approximately equals prior N(0.2, 0.1))
- XLF Schechter slope alpha =
1.66 +/- 0.05
- XLF normalization n42 =
(6.63 +/- 0.61) x 10^-3 Mpc^-3
- Luminosity posterior lower bound =
1e39 erg/s
- Minimum ICM temperature for ECF =
1 keV
- Beta-model beta =
2/3
- ICM abundance =
0.3 Zsun (Asplund tables)
assumptions (8)
- domain assumption Tinker et al. (2008) halo mass function is accurate at M~1e13 Msun in the assumed cosmology.
- domain assumption WMAP9 cosmology (Hinshaw et al. 2013) with H0=69.32, Omega_M=0.2815, sigma8=0.82.
- domain assumption Self-similar evolution L ~ E(z)^C with C=2 fixed.
- domain assumption The GAMA selection function is correctly modeled by Vmax based on the 5th brightest member reaching r<19.8.
- domain assumption The XLF follows a Schechter function with L* fixed at 2.59e44 erg/s.
- domain assumption Lognormal likelihood for XLF bin number densities.
- domain assumption APEC spectral model with Galactic absorption and temperatures from the Umetsu et al. (2020) MT relation applied to GAMA masses.
- domain assumption A 2D beta model with beta=2/3 describes the ICM surface brightness for aperture and point-source corrections.
Cite this review
Pith. "Pith review of The XXL Survey LIV. X-ray Luminosity Function and Luminosity-Mass Relation of Optically Selected Galaxy Groups." pith.science (2026). https://pith.science/paper/ACGPBXYD
@misc{pith2026250204816,
author = {Pith},
title = {Pith review of: The XXL Survey LIV. X-ray Luminosity Function and Luminosity-Mass Relation of Optically Selected Galaxy Groups},
year = {2026},
howpublished = {\url{https://pith.science/paper/ACGPBXYD}},
note = {Machine review of arXiv:2502.04816}
}
abstract
The overlap between the GAMA spectroscopic survey and the XXL X-ray survey was used to study the X-ray properties of optically-selected groups of galaxies. Forced X-ray aperture photometry was applied to an optically-selected sample of 235 groups (containing at least five member galaxies) to measure their X-ray luminosities in the regime of low signal to noise X-ray data. The sample encompasses X-ray luminosities over an order of magnitude fainter than typical X-ray selected samples, and avoids X-ray selection biases. This gives access to low mass groups where the effects of non-gravitational processes, such as AGN-feedback, should be most apparent and could inhibit their detection in an X-ray survey. We measured the X-ray luminosity function (XLF) of the sample, and found it to be consistent with the extrapolation of the XLF from X-ray selected samples at higher luminosities. The XLF was combined with a theoretical halo mass function to infer the form of the scaling relation between X-ray luminosity and mass (LM relation) for the GAMA groups. We found a slope of $1.87 \pm 0.12$, which is steeper than self similarity in this mass regime. When comparing with other measurements of the LM relation, we find evidence for a steepening of the slope in the low mass regime, likely due to the impact of non-gravitational processes. Our approach can be translated to eROSITA data using multi-wavelength surveys to constrain the X-ray properties of galaxy groups in the limits of high redshift and low mass.
Figures
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Reference graph
Works this paper leans on
-
[1]
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write newline
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-
[3]
Abazajian K., et al., 2004, @doi [ ] 10.1086/421365 , 128, 502
doi:10.1086/421365 2004
-
[4]
O., 1958, @doi [ Supplement Series] 10.1086/190036 , 3, 211
Abell G. O., 1958, @doi [ Supplement Series] 10.1086/190036 , 3, 211
doi:10.1086/190036 1958
-
[5]
Adami C., et al., 2018, @doi [ ] 10.1051/0004-6361/201731606 , 620, A5, (XXL paper XX)
-
[6]
A., et al., 2016, @doi [ ] 10.1051/0004-6361/201525823 , 594, A27
Ade P. A., et al., 2016, @doi [ ] 10.1051/0004-6361/201525823 , 594, A27
-
[7]
Aghanim N., et al., 2020, @doi [ ] 10.1051/0004-6361/201833910 , 641, arXiv:1807.06209
arXiv 2020
-
[9]
Allen S. W., Evrard A. E., Mantz A. B., 2011, @doi [Annual Review of ] 10.1146/annurev-astro-081710-102514 , 49, 409
Show all 118 references
-
[10]
Relativ.] 10.1007/s41114-017-0010-3 , 21, 2
Amendola L., et al., 2018, @doi [Living Rev. Relativ.] 10.1007/s41114-017-0010-3 , 21, 2
2018 doi
-
[11]
Anders E., Grevesse N., 1989, @doi [Geochimica et Cosmochimica Acta] 10.1016/0016-7037(89)90286-X , 53, 197
1989 doi
-
[12]
E., Gaspari M., White S
Anderson M. E., Gaspari M., White S. D., Wang W., Dai X., 2015, @doi [ ] 10.1093/mnras/stv437 , 449, 3806
2015 doi
-
[13]
Andreon S., Moretti A., 2011, @doi [ ] 10.1051/0004-6361/201116761 , 536, A37
2011 doi
-
[14]
L., Moretti A., Trinchieri G., 2016, @doi [ ] 10.1051/0004-6361/201527408 , 585, A147
Andreon S., Serra A. L., Moretti A., Trinchieri G., 2016, @doi [ ] 10.1051/0004-6361/201527408 , 585, A147
2016 doi
-
[15]
L., 2017, @doi [ ] 10.1051/0004-6361/201730722 , 606, A24
Andreon S., Wang J., Trinchieri G., Moretti A., Serra A. L., 2017, @doi [ ] 10.1051/0004-6361/201730722 , 606, A24
2017 doi
-
[16]
Andreon S., Trinchieri G., Moretti A., 2022, @doi [ ] 10.1093/mnras/stac307 , 511, 4991
2022 doi
-
[17]
J., Scott P., 2009, @doi [Annual Review of ] 10.1146/annurev.astro.46.060407.145222 , 47, 481
Asplund M., Grevesse N., Sauval A. J., Scott P., 2009, @doi [Annual Review of ] 10.1146/annurev.astro.46.060407.145222 , 47, 481
2009
-
[18]
J., Stern D., Noirot G., Jun H
Assef R. J., Stern D., Noirot G., Jun H. D., Cutri R. M., Eisenhardt P. R. M., 2018, @doi [ Supplement Series] 10.3847/1538-4365/aaa00a , 234, 23
2018 doi
-
[19]
N., 1980, @doi [ ] 10.1086/157673 , 235, 694
Avni Y., Bahcall J. N., 1980, @doi [ ] 10.1086/157673 , 235, 694
1980 doi
-
[20]
A., 1979, @doi [ ] 10.1086/157327 , 232, 689
Bahcall N. A., 1979, @doi [ ] 10.1086/157327 , 232, 689
1979 doi
-
[21]
K., et al., 2018, @doi [ ] 10.1093/mnras/stx3042 , 474, 3875
Baldry I. K., et al., 2018, @doi [ ] 10.1093/mnras/stx3042 , 474, 3875
2018 doi
-
[22]
Balucinska-Church M., McCammon D., 1992, @doi [ ] 10.1086/172032 , 400, 699
1992 doi
-
[23]
A., et al., 2006, @doi [ ] 10.1086/504457 , 645, 955
Barkhouse W. A., et al., 2006, @doi [ ] 10.1086/504457 , 645, 955
2006 doi
-
[24]
J., Kay S
Barnes D. J., Kay S. T., Henson M. A., McCarthy I. G., Schaye J., Jenkins A., 2017, @doi [ ] 10.1093/mnras/stw2722 , 465, 213
2017 doi
-
[25]
Ben Bekhti N., et al., 2016, @doi [ ] 10.1051/0004-6361/201629178 , 594, 116
2016 doi
-
[26]
A., et al., 2014, @doi [Millimeter, Submillimeter, and Far-Infrared Detectors and Instrumentation for Astronomy VII] 10.1117/12.2057305 , 9153, 91531P
Benson B. A., et al., 2014, @doi [Millimeter, Submillimeter, and Far-Infrared Detectors and Instrumentation for Astronomy VII] 10.1117/12.2057305 , 9153, 91531P
2014 doi
-
[27]
R., Roweis S., 2007, @doi [ ] 10.1086/510127 , 133, 734
Blanton M. R., Roweis S., 2007, @doi [ ] 10.1086/510127 , 133, 734
2007 doi
-
[28]
B \" o hringer H., et al., 2004, @doi [ ] 10.1051/0004-6361:20034484 , 425, 367
2004 doi
-
[29]
A., 2014, @doi [ ] 10.1051/0004-6361/201323155 , 570, A31
B \" o hringer H., Chon G., Collins C. A., 2014, @doi [ ] 10.1051/0004-6361/201323155 , 570, A31
2014 doi
-
[30]
M., Schaye J., 2009, @doi [MNRAS] 10.1111/J.1365-2966.2009.15043.X/2/M \_ MNRAS0398-0053-MU12.GIF , 398, 53
Booth C. M., Schaye J., 2009, @doi [MNRAS] 10.1111/J.1365-2966.2009.15043.X/2/M \_ MNRAS0398-0053-MU12.GIF , 398, 53
2009
-
[31]
M., McCarthy I
Brun A. M., McCarthy I. G., Schaye J., Ponman T. J., 2017, @doi [ ] 10.1093/mnras/stw3361 , 466, 4442
2017 doi
-
[32]
A., Vikhlinin A., Hornstrup A., Ebeling H., Quintana H., Mescheryakov A., 2007, @doi [ Supplement Series] 10.1086/519457 , 172, 561
Burenin R. A., Vikhlinin A., Hornstrup A., Ebeling H., Quintana H., Mescheryakov A., 2007, @doi [ Supplement Series] 10.1086/519457 , 172, 561
2007 doi
-
[33]
T., et al., 2018, @doi [ ] 10.1093/mnras/sty1036 , 478, 2132
Chen C. T., et al., 2018, @doi [ ] 10.1093/mnras/sty1036 , 478, 2132
2018 doi
-
[34]
Chiappetti L., et al., 2018, @doi [ ] 10.1051/0004-6361/201731880 , 620, A12, (XXL paper XXVII)
2018 doi
-
[35]
N., et al., 2022, @doi [ ] 10.1051/0004-6361/202141755 , 661, A11
Chiu I. N., et al., 2022, @doi [ ] 10.1051/0004-6361/202141755 , 661, A11
2022 doi
-
[36]
P., et al., 2022, @doi [ ] 10.1051/0004-6361/202142057 , 663, A2, (XXL paper XLV)
Crossett J. P., et al., 2022, @doi [ ] 10.1051/0004-6361/202142057 , 663, A2, (XXL paper XLV)
2022 doi
-
[37]
De Martino I., Atrio-Barandela F., 2016, @doi [ ] 10.1093/mnras/stw1493 , 461, 3222
2016 doi
-
[38]
J., 1997, @doi [ ] 10.1086/304075 , 481, 633
Diaferio A., Geller M. J., 1997, @doi [ ] 10.1086/304075 , 481, 633
1997 doi
-
[39]
Diemer B., 2018, @doi [ Supplement Series] 10.3847/1538-4365/aaee8c , 239, 35
2018 doi
-
[41]
P., et al., 2022, @doi [ ] 10.1093/mnras/stac581 , 515, 2138
Driver S. P., et al., 2022, @doi [ ] 10.1093/mnras/stac581 , 515, 2138
2022 doi
-
[42]
C., B \" o hringer H., Allen S
Ebeling H., Edge A. C., B \" o hringer H., Allen S. W., Crawford C. S., Fabian A. C., Voges W., Huchra J. P., 1998, @doi [ ] 10.1046/j.1365-8711.1998.01949.x , 301, 881
1998
-
[43]
Eckert D., Molendi S., Paltani S., 2011, @doi [ ] 10.1051/0004-6361/201015856 , 526, A79
2011 doi
-
[44]
M., O’Sullivan E., 2021, @doi [Universe] 10.3390/universe7050142 , 7, 142
Eckert D., Gaspari M., Gastaldello F., Le Brun A. M., O’Sullivan E., 2021, @doi [Universe] 10.3390/universe7050142 , 7, 142
2021 doi
-
[45]
R., et al., 2004, @doi [ ] 10.1111/j.1365-2966.2004.07408.x , 348, 866
Eke V. R., et al., 2004, @doi [ ] 10.1111/j.1365-2966.2004.07408.x , 348, 866
2004
-
[46]
Ettori S., 2015, @doi [ ] 10.1093/mnras/stu2292 , 446, 2629
2015 doi
-
[47]
Faccioli L., et al., 2018, @doi [ ] 10.1051/0004-6361/201832931 , 620, A9, (XXL paper XXIV)
2018 doi
-
[48]
W., Lang D., Goodman J., 2013, @doi [ ] 10.1086/670067 , 125, 306
Foreman-Mackey D., Hogg D. W., Lang D., Goodman J., 2013, @doi [ ] 10.1086/670067 , 125, 306
2013 doi
-
[49]
Freeman P., Doe S., Siemiginowska A., 2001, @doi [Astronomical Data Analysis] 10.1117/12.447161 , 4477, 76
2001 doi
-
[50]
Fruscione A., et al., 2006, @doi [Observatory Operations: Strategies, Processes, and Systems] 10.1117/12.671760 , 6270, 62701V
2006 doi
-
[51]
A., et al., 2016, @doi [ ] 10.1051/0004-6361/201526886 , 592, A3, (XXL paper III)
Giles P. A., et al., 2016, @doi [ ] 10.1051/0004-6361/201526886 , 592, A3, (XXL paper III)
2016 doi
-
[52]
A., et al., 2017, @doi [ ] 10.1093/mnras/stw2621 , 465, 858
Giles P. A., et al., 2017, @doi [ ] 10.1093/mnras/stw2621 , 465, 858
2017 doi
-
[53]
A., et al., 2022, @doi [ ] 10.1093/mnras/stab3626 , 511, 1227
Giles P. A., et al., 2022, @doi [ ] 10.1093/mnras/stab3626 , 511, 1227
2022 doi
-
[54]
H., Hoekstra H., 2013, @doi [Space Reviews] 10.1007/s11214-013-9994-5 , 177, 247
Giodini S., Lovisari L., Pointecouteau E., Ettori S., Reiprich T. H., Hoekstra H., 2013, @doi [Space Reviews] 10.1007/s11214-013-9994-5 , 177, 247
2013 doi
- [55]
-
[56]
D., Yee H
Gladders M. D., Yee H. K. C., 2005, @doi [ Supplement Series] 10.1086/427327 , 157, 1
2005 doi
-
[57]
Hanisch R., Jacoby G., 2001, @doi [ ] 10.1086/320803 , 113, 772
2001 doi
-
[58]
R., et al., 2020, @doi [ ] 10.1038/s41586-020-2649-2 , 585, 357
Harris C. R., et al., 2020, @doi [ ] 10.1038/s41586-020-2649-2 , 585, 357
2020 doi
-
[59]
A., Puchwein E., Sijacki D., 2019, @doi [ ] 10.1093/mnras/stz2301 , 489, 2439
Henden N. A., Puchwein E., Sijacki D., 2019, @doi [ ] 10.1093/mnras/stz2301 , 489, 2439
2019 doi
-
[60]
Hilton M., et al., 2021, @doi [ Supplement Series] 10.3847/1538-4365/abd023 , 253, 3
2021 doi
-
[61]
Hinshaw G., et al., 2013, @doi [ ] 10.1088/0067-0049/208/2/19 , 208, 19
2013 doi
-
[62]
J., Perlman E
Horner D. J., Perlman E. S., Ebeling H., Jones L. R., Scharf C. A., Wegner G., Malkan M., Maughan B., 2008, @doi [ Supplement Series] 10.1086/529494 , 176, 374
2008 doi
- [63]
-
[64]
D., 2007, @doi [Comput Sci Eng] 10.1109/MCSE.2007.55 , 9, 90
Hunter J. D., 2007, @doi [Comput Sci Eng] 10.1109/MCSE.2007.55 , 9, 90
2007 doi
-
[65]
Ivezi \' c Z., et al., 2019, @doi [ ] 10.3847/1538-4357/ab042c , 873, 111
2019 doi
-
[66]
Jones C., Forman W., 1984, @doi [ ] 10.1086/161591 , 276, 38
1984 doi
-
[67]
Kaiser N., 1986, @doi [ ] 10.1093/mnras/222.2.323 , 222, 323
1986 doi
-
[68]
A., Maughan B
Koens L. A., Maughan B. J., Jones L. R., Ebeling H., Horner D. J., Perlman E. S., Phillipps S., Scharf C. A., 2013, @doi [ ] 10.1093/mnras/stt1519 , 435, 3231
2013 doi
-
[69]
P., et al., 2007, @doi [ ] 10.1086/509599 , 660, 239
Koester B. P., et al., 2007, @doi [ ] 10.1086/509599 , 660, 239
2007 doi
-
[70]
P., Bellhouse C., Mcgee S., 2022, @doi [ ] 10.1093/mnras/stac2177 , 515, 5877
Kolcu T., Crossett J. P., Bellhouse C., Mcgee S., 2022, @doi [ ] 10.1093/mnras/stac2177 , 515, 5877
2022 doi
-
[71]
Koulouridis E., et al., 2021, @doi [ ] 10.1051/0004-6361/202140566 , 652, 1
2021 doi
- [72]
-
[73]
D., et al., 2019, @doi [ ] 10.3847/1538-4365/ab22a8 , https://ui.adsabs.harvard.edu/abs/2019ApJS..243....3L 243, 3
Lehmer B. D., et al., 2019, @doi [ ] 10.3847/1538-4365/ab22a8 , https://ui.adsabs.harvard.edu/abs/2019ApJS..243....3L 243, 3
2019 doi
-
[74]
Liu A., et al., 2022, @doi [ ] 10.1051/0004-6361/202141120 , 661, A2
2022 doi
-
[76]
H., Schellenberger G., 2015, @doi [ ] 10.1051/0004-6361/201423954 , 573, A118
Lovisari L., Reiprich T. H., Schellenberger G., 2015, @doi [ ] 10.1051/0004-6361/201423954 , 573, A118
2015 doi
-
[77]
A., 2021, @doi [Universe] 10.3390/universe7050139 , 7, 139
Lovisari L., Ettori S., Gaspari M., Giles P. A., 2021, @doi [Universe] 10.3390/universe7050139 , 7, 139
2021 doi
-
[78]
W., Ebeling H., Rapetti D., 2008, @doi [ ] 10.1111/j.1365-2966.2008.13311.x , 387, 1179
Mantz A., Allen S. W., Ebeling H., Rapetti D., 2008, @doi [ ] 10.1111/j.1365-2966.2008.13311.x , 387, 1179
2008
-
[80]
W., Ebeling H., Rapetti D., Drlica-Wagner A., 2010b, @doi [ ] 10.1111/j.1365-2966.2010.16993.x , 406, 1773
Mantz A., Allen S. W., Ebeling H., Rapetti D., Drlica-Wagner A., 2010b, @doi [ ] 10.1111/j.1365-2966.2010.16993.x , 406, 1773
2010
-
[81]
B., et al., 2016, @doi [ ] 10.1093/MNRAS/STW2250 , 463, 3582
Mantz A. B., et al., 2016, @doi [ ] 10.1093/MNRAS/STW2250 , 463, 3582
2016 doi
-
[82]
J., 2007, @doi [ ] 10.1086/520831 , 668, 772
Maughan B. J., 2007, @doi [ ] 10.1086/520831 , 668, 772
2007 doi
-
[86]
Mellier Y., 1999, @doi [Annual Review of ] 10.1146/annurev.astro.37.1.127 , 37, 127
1999 doi
- [87]
-
[88]
J., et al., 2005, @doi [ ] 10.1086/431357 , 130, 968
Miller C. J., et al., 2005, @doi [ ] 10.1086/431357 , 130, 968
2005 doi
-
[89]
Mineo S., Gilfanov M., Sunyaev R., 2012, @doi [ ] 10.1111/j.1365-2966.2012.21831.x , https://ui.adsabs.harvard.edu/abs/2012MNRAS.426.1870M 426, 1870
2012
-
[90]
R., et al., 2004, @doi [ ] 10.1086/383234 , 607, 175
Mullis C. R., et al., 2004, @doi [ ] 10.1086/383234 , 607, 175
2004 doi
-
[91]
L., et al., 2019, @doi [ ] 10.1093/mnras/sty3484 , 484, 60
Mulroy S. L., et al., 2019, @doi [ ] 10.1093/mnras/sty3484 , 484, 60
2019 doi
-
[92]
Pacaud F., et al., 2007, @doi [ ] 10.1111/j.1365-2966.2007.12468.x , 382, 1289
2007
-
[93]
Pacaud F., et al., 2016, @doi [ ] 10.1051/0004-6361/201526891 , 592, A2, (XXL paper II)
2016 doi
-
[94]
F., Boldt E
Piccinotti G., Mushotzky R. F., Boldt E. A., Holt S. S., Marshall F. E., Serlemitsos P. J., Shafer R. A., 1982, @doi [ ] 10.1086/159651 , 253, 485
1982 doi
-
[95]
Pierre M., et al., 2016, @doi [ ] 10.1051/0004-6361/201526766 , 592, A1, (XXL paper I)
2016 doi
- [96]
-
[97]
W., Arnaud M., Biviano A., Eckert D., Ettori S., Nagai D., Okabe N., Reiprich T
Pratt G. W., Arnaud M., Biviano A., Eckert D., Ettori S., Nagai D., Okabe N., Reiprich T. H., 2019, @doi [Space Reviews] 10.1007/s11214-019-0591-0 , 215, 25
2019 doi
-
[98]
Predehl P., et al., 2021, @doi [ ] 10.1051/0004-6361/202039313 , 647, A1
2021 doi
-
[99]
A., Kashyap V
Primini F. A., Kashyap V. L., 2014, @doi [ ] 10.1088/0004-637X/796/1/24 , 796, 24
2014 doi
-
[100]
M., Rosen S
Read A. M., Rosen S. R., Saxton R. D., Ramirez J., 2011, @doi [ ] 10.1051/0004-6361/201117525 , 534, A34
2011 doi
-
[101]
L., et al., 2013, @doi [ ] 10.1088/0004-637X/763/2/127 , 763, 127
Reichardt C. L., et al., 2013, @doi [ ] 10.1088/0004-637X/763/2/127 , 763, 127
2013 doi
-
[102]
P., et al., 2013, @doi [ ] 10.1051/0004-6361/201322068 , 558, A33
Robitaille T. P., et al., 2013, @doi [ ] 10.1051/0004-6361/201322068 , 558, A33
2013 doi
-
[103]
S., et al., 2011, @doi [ ] 10.1111/j.1365-2966.2011.19217.x , 416, 2640
Robotham A. S., et al., 2011, @doi [ ] 10.1111/j.1365-2966.2011.19217.x , 416, 2640
2011
-
[104]
Rossetti M., et al., 2016, @doi [ ] 10.1093/mnras/stw265 , 457, 4515
2016 doi
-
[105]
J., Ponman T
Sanderson A. J., Ponman T. J., Finoguenov A., Lloyd-Davies E. J., Markevitch M., 2003, @doi [ ] 10.1046/j.1365-8711.2003.06401.x , 340, 989
2003
-
[106]
Schechter P., 1976, @doi [ ] 10.1086/154079 , 203, 297
1976 doi
-
[107]
Schmidt M., 1968, @doi [ ] 10.1086/149446 , 151, 393
1968 doi
-
[108]
K., Brickhouse N
Smith R. K., Brickhouse N. S., Liedahl D. A., Raymond J. C., 2001, @doi [ ] 10.1086/322992 , 556, L91
2001 doi
-
[109]
A., et al., 2022, @doi [ Supplement Series] 10.3847/1538-4365/ac374f , 258, 42
Sobrin J. A., et al., 2022, @doi [ Supplement Series] 10.3847/1538-4365/ac374f , 258, 42
2022 doi
-
[110]
Soria R., et al., 2022, @doi [ ] 10.1093/mnras/stac148 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.512.3284S 512, 3284
2022 doi
-
[111]
B., 2005, in Shopbell P., Britton M., Ebert R., eds, Astronomical Society of the Pacific Conference Series Vol
Taylor M. B., 2005, in Shopbell P., Britton M., Ebert R., eds, Astronomical Society of the Pacific Conference Series Vol. 347, Astronomical Data Analysis Software and Systems XIV. p. 29
2005
-
[112]
V., Klypin A., Abazajian K., Warren M., Yepes G., Gottl \" o ber S., Holz D
Tinker J., Kravtsov A. V., Klypin A., Abazajian K., Warren M., Yepes G., Gottl \" o ber S., Holz D. E., 2008, @doi [ ] 10.1086/591439 , 688, 709
2008 doi
-
[113]
Tr \" u mper J., 1993, @doi [ ] 10.1126/science.260.5115.1769 , 260, 1769
1993
-
[114]
Umetsu K., et al., 2020, @doi [ ] 10.3847/1538-4357/ab6bca , 890, 148
2020 doi
-
[115]
R., Forman W., Jones C., Quintana H., Hornstrup A., 1998a, @doi [ ] 10.1086/311305 , 498, L21
Vikhlinin A., McNamara B. R., Forman W., Jones C., Quintana H., Hornstrup A., 1998a, @doi [ ] 10.1086/311305 , 498, L21
-
[116]
R., Forman W., Jones C., Quintana H., Hornstrup A., 1998b, @doi [ ] 10.1086/305951 , 502, 558
Vikhlinin A., McNamara B. R., Forman W., Jones C., Quintana H., Hornstrup A., 1998b, @doi [ ] 10.1086/305951 , 502, 558
-
[117]
S., Van Speybroeck L., 2006, @doi [ ] 10.1086/500288 , 640, 691
Vikhlinin A., Kravtsov A., Forman W., Jones C., Markevitch M., Murray S. S., Van Speybroeck L., 2006, @doi [ ] 10.1086/500288 , 640, 691
2006 doi
-
[118]
A., Kravtsov A
Vikhlinin A. A., Kravtsov A. V., Markevich M. L., Sunyaev R. A., Churazov E. M., 2014, @doi [Physics-Uspekhi] 10.3367/ufne.0184.201404a.0339 , 57, 317
2014
-
[119]
Virtanen P., et al., 2020, @doi [Nature Methods] 10.1038/s41592-019-0686-2 , 17, 261
2020 doi
-
[120]
Weinberger R., et al., 2018, @doi [MNRAS] 10.1093/MNRAS/STY1733 , 479, 4056
2018 doi
-
[121]
P., Ramos-Ceja M
Willis J. P., Ramos-Ceja M. E., Muzzin A., Pacaud F., Yee H. K., Wilson G., 2018, @doi [ ] 10.1093/MNRAS/STY975 , 477, 5517
2018 doi
-
[122]
J., Van Den Bosch F
Yang X., Mo H. J., Van Den Bosch F. C., Jing Y. P., 2005, @doi [ ] 10.1111/j.1365-2966.2005.08560.x , 356, 1293
2005
-
[123]
J., van den Bosch F
Yang X., Mo H. J., van den Bosch F. C., Pasquali A., Li C., Barden M., 2007, @doi [ ] 10.1086/522027 , 671, 153
2007 doi
-
[124]
T., 1961, Catalogue of galaxies and of clusters of galaxies, Vol
Zwicky F., Herzog E., Wild P., Karpowicz M., Kowal C. T., 1961, Catalogue of galaxies and of clusters of galaxies, Vol. I
1961
-
[125]
de Vaucouleurs G., 1975, in Sandage A., Sandage M., Kristian J., eds, , Galaxies and the Universe. p. 557, https://ui.adsabs.harvard.edu/abs/1975gaun.book..557D
1975
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