REVIEW 3 major objections 4 minor 105 references
Relationship between 2D and 3D Galaxy Stellar Mass and Correlations with Halo Mass
T0 review · 3 major / 4 minor · reviewed 2026-08-08 · deepseek-v4-flash
Pith's one-line read A projected, 2D measurement of the outer stellar mass of massive galaxies matches, and sometimes beats, the same quantity measured in full 3D as a tracer of dark matter halo mass, and it introduces no bias in galaxy-galaxy lensing profiles.
desk verdict Solid simulation study of 2D vs 3D outer stellar mass as a halo proxy; the geometric conversion has an error that, if anything, makes the 2D result conservative. 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 central objects are the 2D elliptical annulus stellar mass, defined as the integrated stellar mass between two elliptical isophotes with semi-major axes 50 and 100 kpc fitted to projected stellar maps, and the 3D ellipsoidal shell stellar mass, defined as the sum of stellar particles between concentric ellipsoids with semi-major axes 79 and 158 kpc fitted with a reduced inertia tensor. The argument is carried by the projection geometry of prolate galaxies: a 2D elliptical annulus is a cylinder along the line of sight, so the minimal 3D ellipsoidal radius of selected particles is at least the 2D inner radius for a prolate galaxy, the selection keeps more particles along the major axis where the ex-situ fraction is higher, and it has no upper bound on ellipsoidal radius. The authors justify this with a 'line approximation' that treats galaxies as needles and with an exact Schur-complement mapping between 2D elliptical and 3D ellipsoidal distances derived in an appendix.
What would settle it
Repeat the same 2D-versus-3D comparison in a second independent cosmological hydrodynamical simulation with a different feedback treatment, or in real imaging data by measuring 2D outer stellar mass and stacked lensing: if the 2D selection's SHMR scatter is not comparable to the 3D shell, or if the mean lensing profile of 2D-selected samples differs from 3D-selected samples at fixed stellar mass, the claim of no projection bias fails. A sharper internal test would be to split TNG galaxies selected in 2D by the orientation of their major axis relative to the line of sight; if the mean lensing amplitude varies systematically with orientation at fixed 2D outer stellar mass, the 2D selection does create orientation-dependent bias.
Extended reading notes
Core claim
In IllustrisTNG300-1, for massive central galaxies at z=0.4 with stellar mass above $10^{11.2}\,M_\odot$, the 2D elliptical annulus stellar mass $M_*^{2D,[50,100]\,\mathrm{kpc}}$ is as good a halo mass proxy as the 3D ellipsoidal shell stellar mass $M_*^{3D,[79,158]\,\mathrm{kpc}}$, with comparable or marginally smaller SHMR scatter. The mean excess surface density profiles around 2D- and 3D-selected samples agree within $1\sigma$, so the 2D selection does not induce a projection bias in galaxy-galaxy lensing. The paper explains the counterintuitive success of the 2D selection by showing that the 2D elliptical annulus is a cylindrical selection along the line of sight: for the predominantly prolate galaxies in the sample, it always excludes the galaxy core, includes more particles along the major axis where the ex-situ fraction is higher, and has no upper bound on the 3D ellipsoidal radius of included particles, pulling in outer stellar-halo material that correlates most tightly with halo mass.
Load-bearing premise
The whole comparison assumes that the simulated galaxies in IllustrisTNG300-1 have the same 3D shapes, stellar-halo density profiles, and halo-orientation relations as real massive galaxies, and that observational effects such as the point-spread function, background subtraction errors, and blended satellites would not change the ranking.
Editorial extensions
If this is right
- The 2D outer stellar mass measured in real surveys can be used as a cluster mass proxy without needing a full 3D shape correction, because the 2D selection is not biased relative to the 3D selection.
- The mapping between the 2D annulus [50,100] kpc and the 3D shell [79,158] kpc lets observers interpret projected measurements in terms of physical 3D radii.
- The absence of projection bias in the lensing profiles means stacked weak-lensing calibrations of outer-stellar-mass-selected clusters are not systematically offset by triaxiality or orientation effects.
- Going to larger 2D annuli beyond 100 kpc may further reduce SHMR scatter, with the caveat that background subtraction becomes more difficult.
- Outer stellar mass can be combined with richness-based cluster selection to provide an independent halo mass proxy with different systematics.
Reading between the lines
- Beyond the paper: because the 2D selection is a cylinder with no upper ellipsoidal-radius bound, the result suggests that any projected aperture enclosing a radially increasing, halo-correlated tracer may outperform a 3D shell of the same nominal radius; the same logic could be tested on projected X-ray or Sunyaev-Zeldovich signals.
- Beyond the paper: the analytic Schur-complement mapping between 2D elliptical and 3D ellipsoidal radii could be inverted to infer the intrinsic 3D shape distribution of observed massive galaxies from their projected isophotal shapes and outer stellar masses.
- Beyond the paper: a direct observational test would measure 2D outer stellar mass in real imaging data and compare the scatter in lensing-calibrated halo mass with the simulation prediction; a discrepancy would flag simulation-specific shape or stellar-halo assumptions.
- Beyond the paper: splitting a real 2D-selected sample by inferred orientation (for example, by alignment with large-scale structure) and checking whether the mean lensing amplitude is orientation-independent would provide a sharper test of the claimed absence of projection bias.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper uses IllustrisTNG300-1 to study whether projected, two-dimensional outer stellar mass (measured in elliptical annuli) can match the performance of three-dimensional ellipsoidal-shell stellar mass as a halo mass proxy. The authors first characterize the shapes of massive central galaxies and the spatial distribution of ex-situ stars, then fit the scatter of the stellar-to-halo mass relation for many 2D and 3D selections, and finally compare stacked weak lensing profiles of samples selected by 2D and 3D outer stellar mass. Their central claims are that the 2D [50,100] kpc annulus selection has SHMR scatter comparable to, and sometimes marginally better than, the corresponding 3D [79,158] kpc ellipsoidal shell, and that the lensing profiles of the 2D- and 3D-selected samples are nearly identical, implying that the 2D selection does not introduce a projection bias.
Significance. If the main claims hold, the results support the use of outer stellar mass as a practical cluster selection tool in wide-field surveys, where only projected stellar light is available. The paper's strengths are its direct comparison of 2D and 3D definitions within a state-of-the-art cosmological simulation, its use of realistic isophote fitting, and its lensing test with bootstrap errors. It also provides a physically motivated explanation for why the 2D selection works well: it excludes the galaxy core and preferentially includes particles along the major axis and at large radii. However, the quantitative mapping between 2D and 3D radii contains a technical error (Eq. 3.7), and the headline comparison of SHMR scatters is presented without uncertainties, so the main quantitative claims need revision before the paper can be accepted.
major comments (3)
- [Eq. (3.7) in Section 3.5] The conversion factor A is defined as A = (2/pi) ∫_0^{π/2} cos θ dθ ≈ 0.63, which the text calls the mean projected length of a randomly oriented 3D unit vector. For a vector at angle θ from the line of sight, the projected length onto the sky plane is sin θ, not cos θ, and random orientation on the sphere has probability density (1/2) sin θ. The correct orientation-averaged projected length is ∫_0^π (1/2) sin^2 θ dθ = π/4 ≈ 0.785. The formula in Eq. 3.7 averages cos θ over a uniform θ interval, which is neither the mean projection onto the sky plane nor the mean over a random orientation. Consequently, the mapping l3D = l2D/A overestimates 3D lengths by a factor of about π^2/8 ≈ 1.23, so the 3D counterpart of the 2D [50,100] kpc annulus should be roughly [64,127] kpc, not [79,158] kpc. Because the SHMR scatter decreases monotonically with radius (Fig. 7), all comparisons in Fig. 8 and the lensing comparison in Section 4.4 are made between a 2D selection and a 3D selection that is not its true projected counterpart. The authors should correct the factor, propagate the corrected radii through Figures 8 and 9 and the summary bullet, and verify that the qualitative conclusions persist. This is a load-bearing error in the central quantitative comparison.
- [Section 3.3 and Figure 8] The main quantitative claim—that the 2D outer stellar mass selection has SHMR scatter comparable to, or marginally better than, the 3D ellipsoidal shell—is based on point estimates of σ_Mh|M* without any quoted uncertainties. The sample contains about 2700 galaxies, and the differences between the 2D and 3D scatter shown in the highlighted panel of Figure 8 are small (of order 0.01–0.02 dex). Without bootstrap or jackknife errors, the reader cannot tell whether the 'marginally better' statement is statistically significant or consistent with being equal. The authors should provide uncertainties on the fitted scatter values for the selections in Figure 8 and state explicitly whether the differences are significant.
- [Section 5 (Summary and Conclusions)] The lensing comparison in Section 4.4 is used to argue that 2D selection does not create a bias. However, the comparison uses the 3D [79,158] kpc shell, which, as discussed in the first major comment, is not the correct projected counterpart of the 2D [50,100] kpc annulus. Even after the conversion factor is fixed, the lensing test should be repeated with the corrected 3D shell, or with several 3D shells bracketing the expected projection, to demonstrate that the conclusion is not sensitive to the mapping. In addition, the conclusions in Section 5 should be qualified by the idealized nature of the mock stellar maps (no PSF, no background subtraction, no satellite blends), as the authors themselves note in Section 5; the abstract's statement that 'the 2D selection does not create a bias' should be explicitly scoped to these idealized conditions.
minor comments (4)
- [Section 3.5] The phrase 'mean length of a randomly projected 3D unit vector' in Eq. (3.7) is ambiguous: it should state whether the projection is onto the sky plane or along the line of sight, and the averaging should be over the sphere with the correct solid-angle measure.
- [Footnotes and cross-references] Footnote 2 on page 12 says the 79 kpc and 159 kpc radii are obtained 'following the conversion in Section 3.2', but the conversion is defined in Section 3.5; the cross-reference should be corrected.
- [Figure 4 caption] The caption refers to 'the area covered by the white hatch', but hatching is not described in the printed figure; the authors should either show the hatch in the figure or rephrase the text.
- [Section 4.4] The text says 'The shaped regions around the solid lines are the 1 σ uncertainties'; this should read 'shaded regions'.
Circularity Check
No significant circularity: the 2D-versus-3D comparison is measured from TNG rather than fitted, and the self-citations are methodological or contextual rather than load-bearing.
full rationale
The central derivation chain is self-contained. The SHMR scatter values in Figs. 7-9 are measurements from IllustrisTNG300-1 stellar particles, not parameters fitted to the 2D-versus-3D difference. The length conversion A in Eq. 3.7 is defined as a fixed geometric integral and Eq. 3.8 then chooses the 3D shell radii; A is not calibrated to the SHMR outcomes, so the comparison is an empirical measurement rather than a prediction forced by construction. The lensing test in Sec. 4.4 compares stacked DeltaSigma profiles of independently selected 2D and 3D samples, and the near-equality of the profiles is an output, not an input. The paper does contain self-citations from overlapping author groups: Sec. 3.1 adopts the isophote-fitting methodology of Ref. [47], and the introduction cites Refs. [43,45] for the prior result that outer stellar mass traces halo mass. These are methodological and motivational citations, not uniqueness theorems or unverified premises on which the present derivation depends. The paper also explicitly states its own limitations (single TNG300-1 box, neglect of PSF, background subtraction, and satellite blends), which reduces any concern that a hidden external benchmark is being imported as evidence. A possible issue with the orientation averaging in Eq. 3.7 would be a physical or statistical correctness concern about the chosen mapping, not a circularity problem, because the 2D and 3D stellar masses remain independently measured once the shell radii are fixed.
Assumptions & free parameters
free parameters (5)
- SHMR slope alpha =
0.96 (all), 0.92 (ex-situ), 1.01 (in-situ) in Figure 2
- SHMR intercept beta =
not reported in text
- SHMR scatter sigma_Mh|M* =
0.18 (all), 0.19 (ex-situ), 0.24 (in-situ) in Figure 2; grid values in Figures 7 and 8
- Sample stellar mass threshold =
10^11.2 Msun
- Outer stellar mass aperture radii =
2D [50,100] kpc, 3D [79,158] kpc
assumptions (6)
- domain assumption IllustrisTNG300-1 is representative of massive central galaxies and their stellar halos at z=0.4.
- domain assumption In-situ and ex-situ stellar labels from the sublink merger tree are correct.
- domain assumption Halo mass is the Friends-of-Friends group mass.
- domain assumption The conditional distribution of halo mass at fixed stellar mass is log-normal with constant scatter.
- ad hoc to paper Projected stellar maps without PSF, background subtraction, or satellite blending are sufficient for comparing intrinsic 2D and 3D selections.
- domain assumption Massive galaxies can be approximated as prolate ellipsoids with axis ratios near zero for interpreting the 2D selection.
Cite this review
Pith. "Pith review of Relationship between 2D and 3D Galaxy Stellar Mass and Correlations with Halo Mass." pith.science (2026). https://pith.science/paper/QENSK6XA
@misc{pith2026250205158,
author = {Pith},
title = {Pith review of: Relationship between 2D and 3D Galaxy Stellar Mass and Correlations with Halo Mass},
year = {2026},
howpublished = {\url{https://pith.science/paper/QENSK6XA}},
note = {Machine review of arXiv:2502.05158}
}
read the original abstract
Recent studies suggest that the stars in the outer regions of massive galaxies trace halo mass better than the inner regions and that an annular stellar mass provides a low scatter method of selecting galaxy clusters. However, we can only observe galaxies as projected two-dimensional objects on the sky. In this paper, we use a sample of simulated galaxies to study how well galaxy stellar mass profiles in three dimensions correlate with halo mass, and what effects arise when observationally projecting stellar profiles into two dimensions. We compare 2D and 3D outer stellar mass selections and find that they have similar performance as halo mass proxies and that, surprisingly, a 2D selection sometimes has marginally better performance. We also investigate whether the weak lensing profiles around galaxies selected by 2D outer stellar mass suffer from projection effects. We find that the lensing profiles of samples selected by 2D and 3D definitions are nearly identical, suggesting that the 2D selection does not create a bias. These findings underscore the promise of using outer stellar mass as a tool for identifying galaxy clusters.
Reference graph
Works this paper leans on
-
[1]
Press and P
W.H. Press and P. Schechter, Formation of Galaxies and Clusters of Galaxies by Self-Similar Gravitational Condensation, The Astrophysical Journal 187 (1974) 425
1974
-
[2]
Kaiser, On the spatial correlations of Abell clusters
N. Kaiser, On the spatial correlations of Abell clusters. , The Astrophysical Journal 284 (1984) L9
1984
-
[3]
Bardeen, J.R
J.M. Bardeen, J.R. Bond, N. Kaiser and A.S. Szalay, The Statistics of Peaks of Gaussian Random Fields, The Astrophysical Journal 304 (1986) 15
1986
-
[4]
Ghirardini, E
V. Ghirardini, E. Bulbul, E. Artis, N. Clerc, C. Garrel, S. Grandis et al., The SRG/eROSITA All-Sky Survey: Cosmology Constraints from Cluster Abundances in the Western Galactic Hemisphere, Feb., 2024
2024
-
[5]
Sehgal, H
N. Sehgal, H. Trac, V. Acquaviva, P.A.R. Ade, P. Aguirre, M. Amiri et al., The Atacama Cosmology Telescope: Cosmology from Galaxy Clusters Detected via the Sunyaev-Zel’dovich Effect, The Astrophysical Journal 732 (2011) 44
2011
-
[6]
S. Bocquet, J.P. Dietrich, T. Schrabback, L.E. Bleem, M. Klein, S.W. Allen et al., Cluster Cosmology Constraints from the 2500 deg $ˆ2$ SPT-SZ Survey: Inclusion of Weak Gravitational Lensing Data from Magellan and the Hubble Space Telescope , The Astrophysical Journal 878 (2019) 55 [ 1812.01679]
arXiv 2019
-
[7]
Jing and G
Y.P. Jing and G. Borner, The velocity dispersion profiles of clusters of galaxies: A cosmological test and the sampling effect , Monthly Notices of the Royal Astronomical Society 278 (1996) 321
1996
-
[8]
Borgani, A
S. Borgani, A. Gardini, M. Girardi and S. Gottl¨ ober, Cosmology using cluster internal velocity dispersions, New Astronomy 2 (1997) 119
1997
Show all 105 references
-
[9]
Caldwell, I.G
C.E. Caldwell, I.G. McCarthy, I.K. Baldry, C.A. Collins, J. Schaye and S. Bird, Cosmology with velocity dispersion counts: An alternative to measuring cluster halo masses , Monthly Notices of the Royal Astronomical Society 462 (2016) 4117
2016
-
[10]
Allen, A.E
S.W. Allen, A.E. Evrard and A.B. Mantz, Cosmological Parameters from Observations of Galaxy Clusters , Annual Review of Astronomy and Astrophysics 49 (2011) 409 [ 1103.4829]
2011 arXiv
-
[11]
Geach and J.A
J.E. Geach and J.A. Peacock, Cluster richness–mass calibration with cosmic microwave background lensing, Nature Astronomy 1 (2017) 795
2017
-
[12]
Simet, T
M. Simet, T. McClintock, R. Mandelbaum, E. Rozo, E. Rykoff, E. Sheldon et al., Weak lensing measurement of the mass-richness relation of SDSS redMaPPer clusters , Monthly Notices of the Royal Astronomical Society 466 (2017) 3103
2017
-
[13]
Melchior, D
P. Melchior, D. Gruen, T. McClintock, T.N. Varga, E. Sheldon, E. Rozo et al., Weak-lensing mass calibration of redMaPPer galaxy clusters in Dark Energy Survey Science Verification data, Monthly Notices of the Royal Astronomical Society 469 (2017) 4899
2017
-
[14]
Miyatake, N
H. Miyatake, N. Battaglia, M. Hilton, E. Medezinski, A.J. Nishizawa, S. More et al., Weak-lensing Mass Calibration of ACTPol Sunyaev–Zel’dovich Clusters with the Hyper Suprime-Cam Survey , The Astrophysical Journal 875 (2019) 63
2019
-
[15]
McClintock, T.N
T. McClintock, T.N. Varga, D. Gruen, E. Rozo, E.S. Rykoff, T. Shin et al., Dark Energy Survey Year 1 Results: Weak Lensing Mass Calibration of redMaPPer Galaxy Clusters , Monthly Notices of the Royal Astronomical Society 482 (2019) 1352 [ 1805.00039]. – 24 –
2019 arXiv
- [16]
-
[17]
Robertson, C
N.C. Robertson, C. Sif´ on, M. Asgari, N. Battaglia, M. Bilicki, J. Richard Bond et al., ACT-DR5 Sunyaev-Zel’dovich clusters: Weak lensing mass calibration with KiDS , Astronomy and Astrophysics 681 (2024) A87
2024
- [18]
-
[19]
D.G. York, J. Adelman, J.E. Anderson, Jr., S.F. Anderson, J. Annis, N.A. Bahcall et al., The Sloan Digital Sky Survey: Technical Summary , The Astronomical Journal 120 (2000) 1579
2000
-
[20]
de Jong, G.A
J.T.A. de Jong, G.A. Verdoes Kleijn, K.H. Kuijken and E.A. Valentijn, The Kilo-Degree Survey, Exper. Astron. 35 (2013) 25
2013
-
[21]
Flaugher, H.T
B. Flaugher, H.T. Diehl, K. Honscheid, T.M.C. Abbott, O. Alvarez, R. Angstadt et al., The Dark Energy Camera ,
-
[22]
Aihara et al., The Hyper Suprime-Cam SSP Survey: Overview and Survey Design , Publ
H. Aihara et al., The Hyper Suprime-Cam SSP Survey: Overview and Survey Design , Publ. Astron. Soc. Jap. 70 (2018) S4
2018
-
[23]
Bartelmann and P
M. Bartelmann and P. Schneider, Weak gravitational lensing, Physics Reports 340 (2001) 291
2001
-
[24]
H.-Y. Wu, D.H. Weinberg, A.N. Salcedo and B.D. Wibking, Cosmology with galaxy cluster weak lensing: Statistical limits and experimental design , The Astrophysical Journal 910 (2021) 28 [ 2012.01956]
2021 arXiv
-
[25]
Rykoff, E
E.S. Rykoff, E. Rozo, M.T. Busha, C.E. Cunha, A. Finoguenov, A. Evrard et al., redMaPPer I: Algorithm and SDSS DR8 Catalog , The Astrophysical Journal 785 (2014) 104 [ 1303.3562]
2014 arXiv
-
[26]
Rozo, E.S
E. Rozo, E.S. Rykoff, J.G. Bartlett and J.B. Melin, redMaPPer III: A Detailed Comparison of the Planck 2013 and SDSS DR8 RedMaPPer Cluster Catalogs , Monthly Notices of the Royal Astronomical Society 450 (2015) 592 [ 1401.7716]
2015 arXiv
-
[27]
Costanzi, E
M. Costanzi, E. Rozo, M. Simet, Y. Zhang, A.E. Evrard, A. Mantz et al., Methods for cluster cosmology and application to the SDSS in preparation for DES Year 1 release , Monthly Notices of the Royal Astronomical Society 488 (2019) 4779
2019
-
[28]
Abbott, M
T.M.C. Abbott, M. Aguena, A. Alarcon, S. Allam, S. Allen, J. Annis et al., Dark Energy Survey Year 1 Results: Cosmological constraints from cluster abundances and weak lensing , Physical Review D 102 (2020) 023509
2020
- [29]
-
[30]
Albrecht et al., Report of the Dark Energy Task Force ,
A. Albrecht et al., Report of the Dark Energy Task Force ,
-
[31]
Myles, D
J. Myles, D. Gruen, A.B. Mantz, S.W. Allen, R.G. Morris, E. Rykoff et al., Spectroscopic Quantification of Projection Effects in the SDSS redMaPPer Galaxy Cluster Catalogue , Monthly Notices of the Royal Astronomical Society 505 (2021) 33 [ 2011.07070]
2021 arXiv
-
[32]
Sunayama, Y
T. Sunayama, Y. Park, M. Takada, Y. Kobayashi, T. Nishimichi, T. Kurita et al., The impact of projection effects on cluster observables: Stacked lensing and projected clustering , Monthly Notices of the Royal Astronomical Society 496 (2020) 4468 [ 2002.03867]
2020 arXiv
-
[33]
H.-Y. Wu, M. Costanzi, C.-H. To, A.N. Salcedo, D.H. Weinberg, J. Annis et al., Optical selection bias and projection effects in stacked galaxy cluster weak lensing , Monthly Notices of the Royal Astronomical Society 515 (2022) 4471. – 25 –
2022
-
[34]
Y. Park, T. Sunayama, M. Takada, Y. Kobayashi, H. Miyatake, S. More et al., Cluster cosmology with anisotropic boosts: Validation of a novel forward modeling analysis and application on SDSS redMaPPer clusters , Dec., 2021
2021
-
[35]
Zeng, A.N
C. Zeng, A.N. Salcedo, H.-Y. Wu and C.M. Hirata, Self-calibrating optical galaxy cluster selection bias using cluster, galaxy, and shear cross-correlations , Monthly Notices of the Royal Astronomical Society 523 (2023) 4270
2023
- [36]
- [37]
- [38]
- [39]
- [40]
-
[41]
Pereira, A
M.E.S. Pereira, A. Palmese, T.N. Varga, T. McClintock, M. Soares-Santos, J. Burgad et al., M‹ masses: Weak-lensing calibration of the Dark Energy Survey Year 1 redMaPPer clusters using stellar masses , Monthly Notices of the Royal Astronomical Society 498 (2020) 5450
2020
-
[42]
Huang, A
S. Huang, A. Leauthaud, A. Hearin, P. Behroozi, C. Bradshaw, F. Ardila et al., Weak Lensing Reveals a Tight Connection Between Dark Matter Halo Mass and the Distribution of Stellar Mass in Massive Galaxies , Monthly Notices of the Royal Astronomical Society 492 (2020) 3685 [18...
2020 arXiv
-
[43]
Huang, A
S. Huang, A. Leauthaud, C. Bradshaw, A. Hearin, P. Behroozi, J. Lange et al., The Outer Stellar Mass of Massive Galaxies: A Simple Tracer of Halo Mass with Scatter Comparable to Richness and Reduced Projection Effects, arXiv:2109.02646 [astro-ph] (2021) [ 2109.02646]
2021 arXiv
-
[44]
Esteves, M.E.S
J.H. Esteves, M.E.S. Pereira, M. Soares-Santos, J. Annis, A. Farahi, F. Andrade-Oliveira et al., Copacabana: A Probabilistic Membership Assignment Method for Galaxy Clusters , Jan.,
- [45]
-
[46]
Abbott et al., The Dark Energy Survey: More than dark energy – an overview , Mon
T. Abbott et al., The Dark Energy Survey: More than dark energy – an overview , Mon. Not. Roy. Astron. Soc. 460 (2016) 1270
2016
-
[47]
S. Xu, S. Huang, A. Leauthaud, B. Diemer, K. Leidig, C. Cannarozzo et al., The Outskirt Stellar Mass of Low-Redshift Massive Galaxies is an Excellent Halo Mass Proxy in Illustris/IllustrisTNG Simulations , Dec., 2024. 10.48550/arXiv.2412.03406
2024 doi
-
[48]
Osato, T
K. Osato, T. Nishimichi, M. Oguri, M. Takada and T. Okumura, Strong orientation dependence of surface mass density profiles of dark haloes at large scales , Monthly Notices of the Royal Astronomical Society 477 (2018) 2141
2018
-
[49]
Zhang, S
J. Zhang, S. Wuyts, C. Witten, C.R. Avery, L. Hao, R. Sharma et al., 3D intrinsic shapes of quiescent galaxies in observations and simulations , Monthly Notices of the Royal Astronomical Society 513 (2022) 4814 [ 2204.10867]. – 26 –
2022 arXiv
- [50]
-
[51]
Hahn, M.J
C. Hahn, M.J. Wilson, O. Ruiz-Macias, S. Cole, D.H. Weinberg, J. Moustakas et al., The DESI Bright Galaxy Survey: Final Target Selection, Design, and Validation , The Astronomical Journal 165 (2023) 253
2023
-
[52]
Oser, J.P
L. Oser, J.P. Ostriker, T. Naab, P.H. Johansson and A. Burkert, The Two Phases of Galaxy Formation, The Astrophysical Journal 725 (2010) 2312
2010
-
[53]
Dekel, Y
A. Dekel, Y. Birnboim, G. Engel, J. Freundlich, T. Goerdt, M. Mumcuoglu et al., Cold streams in early massive hot haloes as the main mode of galaxy formation , Nature 457 (2009) 451
2009
-
[54]
Naab, P.H
T. Naab, P.H. Johansson and J.P. Ostriker, Minor Mergers and the Size Evolution of Elliptical Galaxies , The Astrophysical Journal 699 (2009) L178
2009
-
[55]
Bezanson, P.G
R. Bezanson, P.G. van Dokkum, T. Tal, D. Marchesini, M. Kriek, M. Franx et al., The Relation Between Compact, Quiescent High-redshift Galaxies and Massive Nearby Elliptical Galaxies: Evidence for Hierarchical, Inside-Out Growth , The Astrophysical Journal 697 (2009) 1290
2009
-
[56]
van Dokkum, K.E
P.G. van Dokkum, K.E. Whitaker, G. Brammer, M. Franx, M. Kriek, I. Labb´ e et al., The Growth of Massive Galaxies Since z = 2 , The Astrophysical Journal 709 (2010) 1018
2010
-
[57]
Cooper, S
A.P. Cooper, S. Cole, C.S. Frenk, S.D.M. White, J. Helly, A.J. Benson et al., Galactic stellar haloes in the CDM model , Monthly Notices of the Royal Astronomical Society 406 (2010) 744
2010
-
[58]
Cooper, R
A.P. Cooper, R. D’Souza, G. Kauffmann, J. Wang, M. Boylan-Kolchin, Q. Guo et al., Galactic accretion and the outer structure of galaxies in the CDM model , Monthly Notices of the Royal Astronomical Society 434 (2013) 3348
2013
-
[59]
Rodriguez-Gomez, A
V. Rodriguez-Gomez, A. Pillepich, L.V. Sales, S. Genel, M. Vogelsberger, Q. Zhu et al., The stellar mass assembly of galaxies in the Illustris simulation: Growth by mergers and the spatial distribution of accreted stars , Monthly Notices of the Royal Astronomical Society 458 (...
2016
-
[60]
Helmi and S.D.M
A. Helmi and S.D.M. White, Building up the stellar halo of the Galaxy , Monthly Notices of the Royal Astronomical Society 307 (1999) 495
1999
-
[61]
Bullock and K.V
J.S. Bullock and K.V. Johnston, Tracing Galaxy Formation with Stellar Halos. I. Methods , The Astrophysical Journal 635 (2005) 931
2005
-
[62]
Amorisco, Contributions to the accreted stellar halo: An atlas of stellar deposition , Sept.,
N.C. Amorisco, Contributions to the accreted stellar halo: An atlas of stellar deposition , Sept.,
-
[63]
Helmi, The stellar halo of the Galaxy , Astronomy and Astrophysics Review 15 (2008) 145
A. Helmi, The stellar halo of the Galaxy , Astronomy and Astrophysics Review 15 (2008) 145
2008
-
[64]
Pillepich, D
A. Pillepich, D. Nelson, L. Hernquist, V. Springel, R. Pakmor, P. Torrey et al., First results from the IllustrisTNG simulations: The stellar mass content of groups and clusters of galaxies, Monthly Notices of the Royal Astronomical Society 475 (2018) 648
2018
-
[65]
Montenegro-Taborda, V
D. Montenegro-Taborda, V. Rodriguez-Gomez, A. Pillepich, V. Avila-Reese, L.V. Sales, A. Rodr ´ ıguez-Puebla et al.,The growth of brightest cluster galaxies in the TNG300 simulation: Dissecting the contributions from mergers and in situ star formation , Monthly Notices of the R...
2023
- [66]
-
[67]
Brown, G
H.J. Brown, G. Martin, F.R. Pearce, N.A. Hatch, Y.M. Bah´ e and Y. Dubois, Assembly of the – 27 – intracluster light in the HORIZON-AGN simulation , Monthly Notices of the Royal Astronomical Society 534 (2024) 431
2024
-
[68]
De Lucia and J
G. De Lucia and J. Blaizot, The hierarchical formation of the brightest cluster galaxies , Monthly Notices of the Royal Astronomical Society 375 (2007) 2
2007
-
[69]
Shankar, S
F. Shankar, S. Buchan, A. Rettura, V.R. Bouillot, J. Moreno, R. Licitra et al., Avoiding Progenitor Bias: The Structural and Mass Evolution of Brightest Group and Cluster Galaxies in Hierarchical Models since z ă˜ 1 , The Astrophysical Journal 802 (2015) 73
2015
-
[70]
Golden-Marx, Y
J.B. Golden-Marx, Y. Zhang, R.L.C. Ogando, S. Allam, D.L. Tucker, C.J. Miller et al., Characterizing the intracluster light over the redshift range 0.2 ă ză 0.8 in the DES-ACT overlap, Monthly Notices of the Royal Astronomical Society 521 (2023) 478
2023
- [71]
-
[72]
Zhang, J.B
Y. Zhang, J.B. Golden-Marx, R.L.C. Ogando, B. Yanny, E.S. Rykoff, S. Allam et al., Dark Energy Survey Year 6 results: Intra-cluster light from redshift 0.2 to 0.5 , Monthly Notices of the Royal Astronomical Society 531 (2024) 510
2024
-
[73]
Nelson, V
D. Nelson, V. Springel, A. Pillepich, V. Rodriguez-Gomez, P. Torrey, S. Genel et al., The IllustrisTNG simulations: Public data release , Computational Astrophysics and Cosmology 6 (2019) 2
2019
-
[74]
H. Li, S. Mao, E. Emsellem, D. Xu, V. Springel and D. Krajnovi´ c, The origin and properties of massive prolate galaxies in the Illustris simulation , Monthly Notices of the Royal Astronomical Society 473 (2018) 1489
2018
-
[75]
Pillepich, V
A. Pillepich, V. Springel, D. Nelson, S. Genel, J. Naiman, R. Pakmor et al., Simulating galaxy formation with the IllustrisTNG model , Monthly Notices of the Royal Astronomical Society 473 (2018) 4077
2018
-
[76]
Springel, E pur si muove: Galilean-invariant cosmological hydrodynamical simulations on a moving mesh , Monthly Notices of the Royal Astronomical Society 401 (2010) 791
V. Springel, E pur si muove: Galilean-invariant cosmological hydrodynamical simulations on a moving mesh , Monthly Notices of the Royal Astronomical Society 401 (2010) 791
2010
-
[77]
Sijacki, M
D. Sijacki, M. Vogelsberger, D. Kereˇ s, V. Springel and L. Hernquist, Moving mesh cosmology: The hydrodynamics of galaxy formation , Monthly Notices of the Royal Astronomical Society 424 (2012) 2999
2012
-
[78]
Pakmor and V
R. Pakmor and V. Springel, Simulations of magnetic fields in isolated disc galaxies , Monthly Notices of the Royal Astronomical Society 432 (2013) 176
2013
-
[79]
Pakmor, V
R. Pakmor, V. Springel, A. Bauer, P. Mocz, D.J. Munoz, S.T. Ohlmann et al., Improving the convergence properties of the moving-mesh code AREPO , Monthly Notices of the Royal Astronomical Society 455 (2016) 1134
2016
-
[80]
Weinberger, V
R. Weinberger, V. Springel and R. Pakmor, The AREPO Public Code Release , The Astrophysical Journal Supplement Series 248 (2020) 32
2020
-
[81]
Weinberger, V
R. Weinberger, V. Springel, L. Hernquist, A. Pillepich, F. Marinacci, R. Pakmor et al., Simulating galaxy formation with black hole driven thermal and kinetic feedback , Monthly Notices of the Royal Astronomical Society 465 (2017) 3291
2017
-
[82]
Naiman, A
J.P. Naiman, A. Pillepich, V. Springel, E. Ramirez-Ruiz, P. Torrey, M. Vogelsberger et al., First results from the IllustrisTNG simulations: A tale of two elements - chemical evolution of magnesium and europium , Monthly Notices of the Royal Astronomical Society 477 (2018) 1206
2018
-
[83]
Nelson, A
D. Nelson, A. Pillepich, V. Springel, R. Weinberger, L. Hernquist, R. Pakmor et al., First results from the IllustrisTNG simulations: The galaxy colour bimodality , Monthly Notices of the Royal Astronomical Society 475 (2018) 624. – 28 –
2018
-
[84]
Springel, R
V. Springel, R. Pakmor, A. Pillepich, R. Weinberger, D. Nelson, L. Hernquist et al., First results from the IllustrisTNG simulations: Matter and galaxy clustering , Monthly Notices of the Royal Astronomical Society 475 (2018) 676
2018
-
[85]
Ardila, S
F. Ardila, S. Huang, A. Leauthaud, B. Diemer, A. Pillepich, R. Chowdhury et al., Stellar and weak lensing profiles of massive galaxies in the Hyper-Suprime Cam survey and in hydrodynamic simulations, Monthly Notices of the Royal Astronomical Society 500 (2021) 432
2021
-
[86]
P.a.R. Ade, N. Aghanim, M. Arnaud, M. Ashdown, J. Aumont, C. Baccigalupi et al., Planck 2015 results - XIII. Cosmological parameters , Astronomy & Astrophysics 594 (2016) A13
2016
-
[87]
Davis, G
M. Davis, G. Efstathiou, C.S. Frenk and S.D.M. White, The evolution of large-scale structure in a universe dominated by cold dark matter , The Astrophysical Journal 292 (1985) 371
1985
-
[88]
Springel, S.D.M
V. Springel, S.D.M. White, G. Tormen and G. Kauffmann, Populating a cluster of galaxies - I. Results at z=0 , Monthly Notices of the Royal Astronomical Society 328 (2001) 726
2001
-
[89]
Dolag, S
K. Dolag, S. Borgani, G. Murante and V. Springel, Substructures in hydrodynamical cluster simulations, Monthly Notices of the Royal Astronomical Society 399 (2009) 497
2009
-
[90]
Rodriguez-Gomez, S
V. Rodriguez-Gomez, S. Genel, M. Vogelsberger, D. Sijacki, A. Pillepich, L.V. Sales et al., The merger rate of galaxies in the Illustris simulation: A comparison with observations and semi-empirical models, Monthly Notices of the Royal Astronomical Society 449 (2015) 49
2015
-
[91]
Diemer, COLOSSUS: A Python Toolkit for Cosmology, Large-scale Structure, and Dark Matter Halos , The Astrophysical Journal Supplement Series 239 (2018) 35
B. Diemer, COLOSSUS: A Python Toolkit for Cosmology, Large-scale Structure, and Dark Matter Halos , The Astrophysical Journal Supplement Series 239 (2018) 35
2018
-
[92]
Diemer, A.R.H
B. Diemer, A.R.H. Stevens, C.d.P. Lagos, A.R. Calette, S. Tacchella, L. Hernquist et al., Atomic and molecular gas in IllustrisTNG galaxies at low redshift , Monthly Notices of the Royal Astronomical Society 487 (2019) 1529
2019
-
[93]
Cannarozzo, A
C. Cannarozzo, A. Leauthaud, G.A. Oyarz´ un, C. Nipoti, B. Diemer, S. Huang et al., The contribution of in situ and ex situ star formation in early-type galaxies: MaNGA versus IllustrisTNG, Monthly Notices of the Royal Astronomical Society 520 (2023) 5651
2023
-
[94]
Jedrzejewski, CCD surface photometry of elliptical galaxies - I
R.I. Jedrzejewski, CCD surface photometry of elliptical galaxies - I. Observations, reduction and results., Monthly Notices of the Royal Astronomical Society 226 (1987) 747
1987
-
[95]
Bradley, B
L. Bradley, B. Sipocz, T. Robitaille, E. Tollerud, C. Deil, Z. Vin ´ ıcius et al., Photutils: Photometry tools, Astrophysics Source Code Library (2016) ascl:1609.011
2016
-
[96]
Dubinski and R.G
J. Dubinski and R.G. Carlberg, The Structure of Cold Dark Matter Halos , The Astrophysical Journal 378 (1991) 496
1991
-
[97]
Murata, T
R. Murata, T. Nishimichi, M. Takada, H. Miyatake, M. Shirasaki, S. More et al., Constraints on the Mass-Richness Relation from the Abundance and Weak Lensing of SDSS Clusters , The Astrophysical Journal 854 (2018) 120
2018
-
[98]
Hearin, D
A.P. Hearin, D. Campbell, E. Tollerud, P. Behroozi, B. Diemer, N.J. Goldbaum et al., Forward Modeling of Large-scale Structure: An Open-source Approach with Halotools , The Astronomical Journal 154 (2017) 190
2017
-
[99]
Jiang, A
F. Jiang, A. Dekel, J. Freundlich, A.J. Romanowsky, A.A. Dutton, A.V. Macci` o et al., Formation of ultra-diffuse galaxies in the field and in galaxy groups , Monthly Notices of the Royal Astronomical Society 487 (2019) 5272
2019
-
[100]
Bradshaw, A
C. Bradshaw, A. Leauthaud, A. Hearin, S. Huang and P. Behroozi, Physical Correlations of the Scatter between Galaxy Mass, Stellar Content, and Halo Mass , Monthly Notices of the Royal Astronomical Society 493 (2020) 337 [ 1905.09353]
2020 arXiv
-
[101]
Brough, C
S. Brough, C. Collins, R. Demarco, H.C. Ferguson, G. Galaz, B. Holwerda et al., The Vera Rubin Observatory Legacy Survey of Space and Time and the Low Surface Brightness Universe, arXiv e-prints (2020) arXiv:2001.11067. – 29 –
2020 arXiv
- [102]
-
[103]
Schur, ¨Uber Potenzreihen, die im Innern des Einheitskreises beschr¨ ankt sind., Journal f¨ ur die reine und angewandte Mathematik 147 (1917) 205
J. Schur, ¨Uber Potenzreihen, die im Innern des Einheitskreises beschr¨ ankt sind., Journal f¨ ur die reine und angewandte Mathematik 147 (1917) 205. – 30 –
1917
- [2016]
- [2024]
Reviewed August 8, 2026 · model on record in the stance chip above.
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