REVIEW 4 major objections 8 minor 1 cited by
Unveiling the formation channels of stellar halos through their chemical fingerprints
T0 review · 4 major / 8 minor · reviewed 2026-08-11 · deepseek-v4-flash
Pith's one-line read Outer stellar halos are built mostly from the shredded remains of infalling satellite galaxies, and their chemical abundances record the assembly history of the host galaxy.
desk verdict A useful, honest extension of stellar halo scaling relations across a broad mass range; the endo-debris split is new and the paper deserves serious review despite unquantified classification 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 argument rests on tracing each stellar particle back to the closest simulation snapshot after its birth and labeling it by formation site: in-situ stars were bound to the central galaxy, ex-situ stars were born in a subhalo outside the virial radius, and endo-debris stars formed from gas bound to a subhalo inside the virial radius and later stripped. These labels are assigned within halos identified by the AM-E method, which combines angular momentum and binding energy to separate bulge, disk, and halo. The chemical probe that carries the interpretation is the $[\mathrm{O/Fe}]$-$[\mathrm{Fe/H}]$ plane, where oxygen is produced mainly by short-lived type II supernovae and iron mostly by delayed type Ia supernovae, so a population's position encodes how long and how intensely its host satellite formed stars before being accreted.
What would settle it
Re-running one CIELO galaxy with snapshots saved ten times more frequently, and comparing the birth-site label of every stellar particle, would settle the classification question: if more than a few percent of particles switch categories, the reported population fractions and their mass independence would not hold.
Extended reading notes
Core claim
Across 28 simulated galaxies spanning $M_{\star,\rm gal}\in[10^9,10^{11}]\,M_\odot$, the outer stellar halo (the region between $1.5\,r_{\rm opt}$ and the virial radius) is predominantly accreted: ex-situ stars, born in satellites before infall, and endo-debris stars, born from satellite gas after infall, together provide more than 80 percent of the halo mass, with in-situ stars contributing a median of roughly 10 percent. The mass fractions of the three populations show no significant Spearman correlation with stellar halo mass, whereas the median $[\mathrm{Fe/H}]$ of each population follows a linear mass-metallicity relation with slopes of 0.23-0.29 dex per decade in halo mass. The paper finds that massive halos need more and more massive contributor satellites (a median of eight satellites to reach 90 percent of the accreted mass, versus 2.5 for low-mass halos), and that the $[\mathrm{O/Fe}]$-$[\mathrm{Fe/H}]$ plane separates the populations according to the star formation histories of their source satellites, including the presence or absence of the $\alpha$ knee. For the authors, this makes the $\alpha$ plane a more informative assembly-history diagnostic than the mass-metallicity relation.
Load-bearing premise
The whole classification depends on correctly deciding, at the moment each star is born, whether the gas it formed from belonged to the main galaxy, to a satellite already inside the host's halo, or to a galaxy outside; when satellites are close together or being torn apart, those decisions can be wrong, and the reported population fractions and chemical trends would shift.
Editorial extensions
If this is right
- Observed outer stellar halos should be treated as predominantly accreted material at all masses probed here, so inferences about a galaxy's merger history can be drawn from halo abundances without assuming a dominant in-situ component.
- A halo's median metallicity is predictable from its mass via the fitted relations, giving observers a quantitative target with slopes of roughly 0.23-0.29 dex per decade in halo mass for comparing halos.
- The number and mass of dominant building blocks scale with halo mass: reaching 90 percent of the accreted mass takes a median of 8 satellites for the most massive halos versus 2.5 for the least massive, and the main contributor mass correlates with halo mass as $\log M_{\rm sat} = 1.10\log M_{\star,\rm halo} - 1.26$.
- The $[\mathrm{O/Fe}]$-$[\mathrm{Fe/H}]$ plane can reveal the star formation history of the building blocks: halos whose satellites quenched before type Ia supernovae enriched them show no alpha knee, while halos built from massive starbursting satellites reach higher $[\mathrm{O/Fe}]$ at fixed $[\mathrm{Fe/H}]$.
Reading between the lines
- If the mass fractions are truly mass-independent, the scatter in the $[\mathrm{O/Fe}]$-$[\mathrm{Fe/H}]$ plane at fixed halo mass becomes a direct observational stand-in for the diversity of assembly histories, more informative than halo mass itself.
- The same machinery could be applied to the inner halo, which the paper leaves for a forthcoming study; the prediction would be that the alpha plane there is shaped more by the host galaxy's own disk and bulge evolution than by satellite histories.
- For nearby galaxies where individual halo stars can be resolved, the predicted slopes and zero points could be tested with deep imaging of red-giant populations across the mass range, connecting the simulation's chemical fingerprints to observations before large spectroscopic surveys arrive.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper uses 28 zoom-in cosmological hydrodynamical simulations from the CIELO project to study the formation channels of outer stellar halos (defined as the region between 1.5 r_opt and r_vir) in galaxies with stellar masses 10^9–10^11 M_sun. Stellar particles in the halo are classified as in-situ, endo-debris, or ex-situ by tracing each particle to the closest snapshot after its birth and determining whether it is bound to the central galaxy or to a SUBFIND subhalo. The authors report that accreted material dominates the halos (~50% ex-situ, ~40% endo-debris, ~10% in-situ), that these fractions do not correlate with halo mass, and that the [Fe/H] of each population increases linearly with halo mass (Eq. 1). They further analyze satellite accretion histories, showing that more massive halos require more satellites to build 90% of their accreted mass, and they examine the [O/Fe]-[Fe/H] plane (Eq. 2), arguing that it is more sensitive to the star formation histories of contributing satellites than the mass-metallicity relation.
Significance. If confirmed, the paper's main results would be useful for interpreting stellar halo observations in the era of large spectroscopic surveys. The CIELO sample spans a decade and a half in galaxy mass, and the analysis resolves the stellar halo into ex-situ, endo-debris, and in-situ components with distinct ages, metallicities, and alpha abundances. The claim that the [O/Fe]-[Fe/H] plane is more sensitive to the SFH of contributing satellites than the stellar halo mass-metallicity relation is a falsifiable prediction that can be tested with future data. The paper is transparent about the MZhR being inherited from the galaxy MZR, and it provides detailed tables and a clear account of the definitions used. Its principal limitations at this stage are the unquantified sensitivity of the population decomposition to snapshot cadence and SUBFIND completeness, the small number of high-mass halos, and the lack of uncertainties on the fitting relations.
major comments (4)
- [Sections 2 and 3.2] The central population classification is not robustly established. Section 3.2 assigns each stellar particle to a formation channel using the closest snapshot after birth (median cadence 1.4e8 yr, Sec. 3.1) and SUBFIND membership, yet Section 2 documents that SUBFIND misses substructures that are 'too fluffy' or close to the central galaxy. A star formed in a satellite just before infall can therefore be classified as endo-debris rather than ex-situ, and stars born from recently stripped gas can be classified as in-situ rather than endo-debris. The reported median fractions (~50% ex-situ, ~40% endo-debris, ~10% in-situ; Sec. 3.2, Fig. 5) and the age and [O/Fe] ordering of populations (Figs. 6 and 11) are exactly the quantities this misassignment would bias. The paper acknowledges the difficulty qualitatively, but it does not quantify it. Please add a sensitivity test: for example, re-run the classification using the previous snapshot instead of the closest one, or restrict to stars whose birth gas is unambiguously bound to a subhalo in both adjacent snapshots, and report the resulting range of population fractions and chemical offsets. Also test the sensitivity to the adopted 100-stellar-particle satellite cut (Sec. 4.2) by varying it by a factor of a few and quoting the change in the median chemical trends.
- [Table 1 and Fig. 5] The high stellar halo mass bin (M_halo > 10^9.5 M_sun) contains only three galaxies in Table 1: LG1-4337, P7-2389, and P7-7805. The statements in Sec. 4.2 that massive halos need a median of five additional satellites to build 90% of their accreted mass, and in Sec. 5.2 that high-mass halos have higher [O/Fe], rest on medians over these three systems. The paper already notes caution for the [O/Fe] trend, but the quoted numbers in Table 2 and the text are still presented without uncertainty. Provide bootstrap or jackknife confidence intervals for the high-mass medians, and either restrict the mass-dependence claims to the range adequately sampled (M_halo < 10^9.5 M_sun) or clearly flag the high-mass results as tentative.
- [Sec. 5.1, Eq. (1)] The four linear regressions in Eq. (1) are quoted to two decimal places without slope/intercept uncertainties, scatter, or a statement of the fitting method. The slopes (0.23–0.29) are mutually consistent within plausible errors, so the claim that each stellar population defines a distinct MZhR is not yet supported. Report the best-fit parameters with uncertainties and test whether the slopes differ significantly across populations. The same applies to the regressions in Eq. (2) and to the SHMC mass fit in Sec. 4.2 (log10 M_sat = 1.10 log10 M_halo − 1.26).
- [Sec. 5.2, Eq. (2) and Fig. 14] Eq. (2) writes [O/Fe]_pop = a [Fe/H]_halo + b for each population, using the halo median [Fe/H] as the independent variable, while Fig. 14 is described as showing the medians of [O/Fe] versus [Fe/H] per galaxy for the whole stellar halo and each population. If the x-axis in Fig. 14 is the population's own [Fe/H], then Eq. (2) is mislabeled and the fitted slopes do not correspond to the plotted relation; if the x-axis is the halo's [Fe/H], then the slopes do not measure population-specific [O/Fe]-[Fe/H] trends and the claim that the endo-debris relation is steeper than the ex-situ one (Sec. 5.2) is unsupported. Please correct this inconsistency and provide uncertainties for the fits.
minor comments (8)
- [Section 1] The text contains a typo: 'suchs as' should be 'such as' in the sentence introducing LAMOST and the other surveys.
- [Section 3.1] The disk definition includes the condition 'r ≤ 2rropt'; this should read 'r ≤ 2 ropt' since r_opt is defined just above.
- [Section 4.2] The cross-reference 'In Table 4.2, we summarize...' points to a table that is actually labeled 'Table 2.' Please correct the numbering.
- [Section 5.2] The acronym 'SMHCs' is used in the sentence about the stellar mass fraction with [O/Fe] < 0.1 dex; the paper earlier defines the acronym as 'SHMC' (stellar halo main contributor), so the spelling should be made consistent.
- [Figure 11] The caption states that SHMC1 and SHMC2 are shown as black and gray contours, while the text mentions 'dashed-black line' and 'dashed-dot gray line'; please make the line styles consistent between the caption and the text.
- [Section 3.2.1] The percentile superscript/subscript notation in phrases such as 'median age of 12 12.44 11.77 Gyr' is typeset incorrectly in the arXiv version; please format these as median with 25th–75th percentiles in a clear way.
- [Sec. 5.1 and Abstract] Because the galaxy MZR is part of the model that CIELO was built to reproduce (Sec. 2), the stellar halo MZhR should be framed explicitly as an expected consistency check rather than an independent prediction; the last paragraph of Sec. 5.1 makes this point, but the abstract and conclusions should not present the MZhR as an unqualified new result.
- [Sec. 3.2, Fig. 5] The statement that the mass fractions of in-situ, endo-debris, and ex-situ stars are 'independent of stellar halo mass' is stronger than the evidence supports; with N=28, non-significant Spearman p-values only show that no correlation is detected, so the wording should be softened to something like 'no significant trend is found within this sample.'
Circularity Check
No significant circularity: the reported trends are measured simulation outputs or explicitly inherited physical consequences, not re-statements of the inputs.
full rationale
The paper does not present the stellar-halo mass-metallicity relation as an independent first-principles prediction; it explicitly states in Section 5.1 that its existence stems from the galaxy mass-metallicity relation and the accreted origin of halo stars, so the claim is a transparent, physically inherited consequence rather than a hidden re-statement of an input. The linear regressions in Eqs. (1)-(2) are explicitly described as fits to the simulation data, and the paper does not re-brand these fits as predictions. The in-situ/endo-debris/ex-situ classification is an operational definition, and the differences in stellar age and [O/Fe] between populations are measured outputs of the simulation, not properties encoded in the definitions. The main new claims—mass-independent population fractions, satellite-number trends, and the greater sensitivity of the [O/Fe]-[Fe/H] plane to contributing satellite star-formation histories—are computed from the simulations and compared with external Auriga and observational results, so they retain independent content. Reliance on the companion CIELO paper for simulation validation is a normal self-citation to the simulation suite, not a circular justification of the halo results. The acknowledged SUBFIND and snapshot-cadence limitations affect classification accuracy but are methodological uncertainties, not circular reasoning. No load-bearing step reduces, by construction, to its own input.
Assumptions & free parameters
free parameters (4)
- Inner halo boundary (1.5 ropt) =
1.5 ropt
- Disk circularity threshold (|epsilon| >= 0.5) =
0.5
- Satellite resolution cutoff (100 stellar particles at infall) =
100 particles, corresponding to ~1e6-1e7 Msun depending on resolution
- Linear regression coefficients for MZhR and [O/Fe]-[Fe/H] (Eqs. 1 and 2) =
e.g., [Fe/H]_halo = 0.23 log10(M_halo) - 3.46
assumptions (6)
- domain assumption Lambda-CDM cosmology with Planck 2014 parameters (Omega_m=0.317, Omega_L=0.682, h=0.671, sigma8=0.834)
- domain assumption GADGET-3 multiphase ISM, metal-dependent cooling, stochastic star formation, and SN feedback accurately model galaxy chemical evolution
- domain assumption AM-E method separates bulge, disk, and halo components correctly
- domain assumption Subfind substructure identification and AMIGA merger trees correctly trace satellite infall and disruption
- ad hoc to paper The 100-particle satellite mass limit does not bias the chemical trends
- ad hoc to paper Non-significant Spearman correlations in 28 halos establish mass-independence of population fractions
Cite this review
Pith. "Pith review of Unveiling the formation channels of stellar halos through their chemical fingerprints." pith.science (2026). https://pith.science/paper/J4IYJ2NN
@misc{pith2026241213483,
author = {Pith},
title = {Pith review of: Unveiling the formation channels of stellar halos through their chemical fingerprints},
year = {2026},
howpublished = {\url{https://pith.science/paper/J4IYJ2NN}},
note = {Machine review of arXiv:2412.13483}
}
read the original abstract
Stellar halos around galaxies contain key information about their formation and assembly history. Using simulations, we can trace the origins of different stellar populations in these halos, contributing to our understanding of galaxy evolution. We aim to investigate the assembly of stellar halos and their chemical abundances in 28 galaxies from CIELO project with logMgal[9 and 11]Msun. Stellar halos were identified using the AM E method, focusing on the outer regions between the 1.5 optical radius and the virial radius. We divided the stellar populations based on their formation channel: exsitu, endodebris, and insitu, and analyzed their chemical abundances, ages, and spatial distributions. Additionally, we explored correlations between halo mass, metallicity, and alpha element enrichment. CIELO simulations reveal that stellar halos are predominantly composed of accreted material (exsitu and endodebris stars), in agreement with previous works. The mass fraction of these populations is independent of stellar halo mass, though their metallicities scale linearly with it. Exsitu stars tend to dominate the outskirts and be more alpha rich and older, while endodebris stars are more prevalent at lower radii and tend to be less alpha rich and slightly younger. Massive stellar halos require a median of five additional satellites to build 90 percent of their mass, compared to lower mass halos, which typically need fewer (median of 2.5) and lower-mass satellites and are assembled earlier. The diversity of accreted satellite histories results in well defined stellar halo mass metallicity and [alpha/Fe] [Fe/H] relations, offering a detailed view of the chemical evolution and assembly history of stellar halos. We find that the [alpha/Fe] [Fe/H] is more sensitive to the characteristics and star formation history of the contributing satellites than the stellar halo mass metallicity relationship
Figures
Figures from the paper (10 more)
Forward citations
Cited by 1 Pith paper
-
From metallicity distributions to mutual information: A new perspective on stellar halo assembly
Mutual information between angular position and binary metallicity increases with radius in all five Aquarius stellar halos, and after satellite removal the residual signal is confined to the inner ~30-50 kpc.
Reference graph
Works this paper leans on
-
[1]
C., Carollo, D., Ivezic, Ž., et al
Beers, T. C., Carollo, D., Ivezic, Ž., et al. 2012, ApJ, 746, 34
work page 2012
-
[2]
F., Monachesi, A., Harmsen, B., et al
Bell, E. F., Monachesi, A., Harmsen, B., et al. 2017, ApJ, 837, L8
2017
-
[3]
Belokurov, V ., Erkal, D., Evans, N., Koposov, S., & Deason, A. 2018, MNRAS, 478, 611
work page 2018
-
[4]
L., Fattahi, A., et al
Belokurov, V ., Sanders, J. L., Fattahi, A., et al. 2020, MNRAS, 494, 3880
2020
-
[5]
Bignone, L. A., Helmi, A., & Tissera, P. B. 2019, ApJ, 883, L5
work page 2019
-
[6]
Bland-Hawthorn, J., Sutherland, R., & Webster, D. 2015, ApJ, 807, 154
work page 2015
-
[7]
Brook, C. B., Kawata, D., Gibson, B. K., Gallart, C., & Vicente, A. 2020, MN- RAS, 495, 2645
work page 2020
-
[8]
K., et al
Buder, S., Lind, K., Ness, M. K., et al. 2022, MNRAS, 510, 2407
2022
Show all 79 references
-
[9]
C., Chiba, M., et al
Carollo, D., Beers, T. C., Chiba, M., et al. 2010, ApJ, 712, 692
2010
-
[10]
B., & Sillero, E
Carollo, D., Christlieb, N., Tissera, P. B., & Sillero, E. 2023, ApJ, 946, 99
2023
-
[11]
B., Padilla, N., et al
Casanueva-Villarreal, C., Tissera, P. B., Padilla, N., et al. 2024, A&A, 688, A183
2024
-
[12]
E., Tissera, P
Cataldi, P., Pedrosa, S. E., Tissera, P. B., et al. 2023, MNRAS, 523, 1919 Ciuc˘a, I., Kawata, D., Ting, Y .-S., et al. 2023, Monthly Notices of the Royal Astronomical Society: Letters, 528, L122 Article number, page 15 of 16 A&A proofs: manuscript no. main
2023
-
[13]
H., Naidu, R
Conroy, C., Weinberg, D. H., Naidu, R. P., et al. 2022, arXiv e-prints, arXiv:2204.02989
2022 arXiv
-
[14]
P., Cole, S., Frenk, C
Cooper, A. P., Cole, S., Frenk, C. S., et al. 2010, MNRAS, 406, 744
2010
-
[15]
P., Koposov, S
Cooper, A. P., Koposov, S. E., Prieto, C. A., et al. 2023, ApJ, 947, 37
2023
-
[16]
P., Parry, O
Cooper, A. P., Parry, O. H., Lowing, B., Cole, S., & Frenk, C. 2015, MNRAS, 454, 3185
2015
-
[17]
S., & White, S
Davis, M., Efstathiou, G., Frenk, C. S., & White, S. D. M. 1985, ApJ, 292, 371
1985
-
[18]
Deason, A. J. & Belokurov, V . 2024, New Astronomy Reviews, 99, 101706
2024
-
[19]
J., Mao, Y .-Y ., & Wechsler, R
Deason, A. J., Mao, Y .-Y ., & Wechsler, R. H. 2016, ApJ, 821, 5
2016
-
[20]
2009, MNRAS, 399, 497–514 D’Souza, R
Dolag, K., Borgani, S., Murante, G., & Springel, V . 2009, MNRAS, 399, 497–514 D’Souza, R. & Bell, E. F. 2018, MNRAS, 474, 5300
2009
-
[21]
J., Frenk, C
Fattahi, A., Deason, A. J., Frenk, C. S., et al. 2020, MNRAS, 497, 4459
2020
-
[22]
S., McCarthy, I
Font, A. S., McCarthy, I. G., Crain, R. A., et al. 2011, MNRAS, 416, 2802
2011
-
[23]
S., McCarthy, I
Font, A. S., McCarthy, I. G., Poole-Mckenzie, R., et al. 2020, MNRAS, 498, 1765 François, P., Matteucci, F., Cayrel, R., et al. 2004, A&A, 421, 613
2020
-
[24]
& Bland-Hawthorn, J
Freeman, K. & Bland-Hawthorn, J. 2002, Annual Review of Astronomy and Astrophysics, 40, 487 Gaia Collaboration, Brown, A., Vallenari, A., et al. 2016a, A&A, 595, A2 Gaia Collaboration, Brown, A. G. A., Vallenari, A., et al. 2016b, A&A, 595, A2 Gaia Collaboration, Vallenari, A....
2002
-
[25]
J., Brook, C
Gallart, C., Bernard, E. J., Brook, C. B., et al. 2019, Nature Astronomy, 3, 932
2019
-
[26]
M., Kirby, E
Gilbert, K. M., Kirby, E. N., Escala, I., et al. 2019, ApJ, 883, 128
2019
-
[27]
F., et al
Harmsen, B., Monachesi, A., Bell, E. F., et al. 2017, MNRAS, 466, 1491
2017
-
[28]
2015, MNRAS, 453, 758
Hawkins, K., Jofre, P., Masseron, T., & Gilmore, G. 2015, MNRAS, 453, 758
2015
-
[29]
D., Katz, D., & Gómez, A
Haywood, M., Di Matteo, P., Lehnert, M. D., Katz, D., & Gómez, A. 2013, As- tronomy & Astrophysics, 560, A109
2013
-
[30]
2008, The Astronomy and Astrophysics Review, 15, 145
Helmi, A. 2008, The Astronomy and Astrophysics Review, 15, 145
2008
-
[31]
2020, ARA&A, 58, 205
Helmi, A. 2020, ARA&A, 58, 205
2020
-
[32]
H., et al
Helmi, A., Babusiaux, C., Koppelman, H. H., et al. 2018, Nature, 563, 85
2018
-
[33]
& Tim de Zeeuw, P
Helmi, A. & Tim de Zeeuw, P. 2000, MNRAS, 319, 657
2000
-
[34]
C., Sanderson, R
Horta, D., Cunningham, E. C., Sanderson, R. E., et al. 2023, ApJ, 943, 158
2023
-
[35]
P., Mackereth, J
Horta, D., Schiavon, R. P., Mackereth, J. T., et al. 2022, MN- RAS[arXiv:2204.04233]
2022 arXiv
-
[36]
S., de Jong, R
Jang, I. S., de Jong, R. S., Holwerda, B. W., et al. 2020, A&A, 637, A8
2020
-
[37]
W., Conroy, C., Johnson, B
Johnson, J. W., Conroy, C., Johnson, B. D., et al. 2023, MNRAS, 526, 5084
2023
-
[38]
A., Weiner, B
Kassin, S. A., Weiner, B. J., Faber, S. M., et al. 2012, ApJ, 758, 106
2012
-
[39]
2023, A&A, 677, A89
Khoperskov, Sergey, Minchev, Ivan, Libeskind, Noam, et al. 2023, A&A, 677, A89
2023
-
[40]
Knollmann, S. R. & Knebe, A. 2009, ApJS, 182, 608–624
2009
-
[41]
D., Cannon, J
Lee, H., Skillman, E. D., Cannon, J. M., et al. 2006, ApJ, 647, 970
2006
-
[42]
F., Serrano, A., & Torres-Peimbert, S
Lequeux, J., Peimbert, M., Rayo, J. F., Serrano, A., & Torres-Peimbert, S. 1979, A&A, 80, 155
1979
-
[43]
R., Schiavon, R
Majewski, S. R., Schiavon, R. P., Frinchaboy, P. M., et al. 2017, AJ, 154, 94
2017
-
[44]
C., Crain, R
Mason, A. C., Crain, R. A., Schiavon, R. P., et al. 2023, arXiv e-prints, arXiv:2311.00041
2023 arXiv
-
[45]
2021, A&A Rev., 29, 5
Matteucci, F. 2021, A&A Rev., 29, 5
2021
-
[46]
& Brocato, E
Matteucci, F. & Brocato, E. 1990, ApJ, 365, 539
1990
-
[47]
& Greggio, L
Matteucci, F. & Greggio, L. 1986, A&A, 154, 279
1986
-
[48]
2016, ApJ, 830, 62
Merritt, A., van Dokkum, P., Abraham, R., & Zhang, J. 2016, ApJ, 830, 62
2016
-
[49]
F., Radburn-Smith, D
Monachesi, A., Bell, E. F., Radburn-Smith, D. J., et al. 2016, MNRAS, 457, 1419
2016
-
[50]
A., Grand, R
Monachesi, A., Gómez, F. A., Grand, R. J. J., et al. 2019, MNRAS, 485, 2589
2019
-
[51]
2024, A&A, 690, A136
Mori, A., Di Matteo, P., Salvadori, S., et al. 2024, A&A, 690, A136
2024
-
[52]
B., Tissera, P
Mosconi, M. B., Tissera, P. B., Lambas, D. G., & Cora, S. A. 2001, MNRAS, 325, 34
2001
-
[53]
P., Conroy, C., Bonaca, A., et al
Naidu, R. P., Conroy, C., Bonaca, A., et al. 2020, ApJ, 901, 48
2020
-
[54]
Norris, J. E. 1994, ApJ, 431, 645
1994
-
[55]
2024, arXiv e-prints, arXiv:2401.00668
Ogami, I., Tanaka, M., Komiyama, Y ., et al. 2024, arXiv e-prints, arXiv:2401.00668
2024 arXiv
-
[56]
2014, MNRAS, 444, 237 Planck Collaboration, Ade, P
Pillepich, A., V ogelsberger, M., Deason, A., et al. 2014, MNRAS, 444, 237 Planck Collaboration, Ade, P. A. R., Aghanim, N., et al. 2014, A&A, 571, A16
2014
-
[57]
W., Bullock, J
Purcell, C. W., Bullock, J. S., & Kazantzidis, S. 2010, MNRAS, 404, 1711
2010
-
[58]
J., de Jong, R
Radburn-Smith, D. J., de Jong, R. S., Seth, A. C., et al. 2011, ApJS, 195, 18 Rodríguez, S., Garcia Lambas, D., Padilla, N. D., et al. 2022, MNRAS, 514, 6157
2011
-
[59]
2005, MNRAS, 364, 552
Scannapieco, C., Tissera, P., White, S., & Springel, V . 2005, MNRAS, 364, 552
2005
-
[60]
2006, MNRAS, 371, 1125
Scannapieco, C., Tissera, P., White, S., & Springel, V . 2006, MNRAS, 371, 1125
2006
-
[61]
B., White, S
Scannapieco, C., Tissera, P. B., White, S. D. M., & Springel, V . 2008, MNRAS, 389, 1137
2008
-
[62]
2021, MNRAS, 500, 3750
Sestito, F., Buck, T., Starkenburg, E., et al. 2021, MNRAS, 500, 3750
2021
-
[63]
R., & Bland-Hawthorn, J
Sharma, S., Hayden, M. R., & Bland-Hawthorn, J. 2021, MNRAS, 507, 5882–5901
2021
-
[64]
2017, arXiv e-prints, arXiv:1705.06449
Spitoni, E., Vincenzo, F., Matteucci, F., & Romano, D. 2017, arXiv e-prints, arXiv:1705.06449
2017 arXiv
-
[65]
2005, MNRAS, 364, 1105
Springel, V . 2005, MNRAS, 364, 1105
2005
-
[66]
& Hernquist, L
Springel, V . & Hernquist, L. 2003, MNRAS, 339, 312
2003
-
[67]
Springel, V ., Yoshida, N., & White, S. D. M. 2001, New A, 6, 79
2001
-
[68]
B., Sillero, E., et al
Tapia, B., Tissera, P. B., Sillero, E., et al. 2022, Boletin de la Asociacion Ar- gentina de Astronomia La Plata Argentina, 63, 256
2022
-
[69]
Tinsley, B. M. 1979, ApJ, 229, 1046
1979
-
[70]
B., Beers, T
Tissera, P. B., Beers, T. C., Carollo, D., & Scannapieco, C. 2014, MNRAS, 439, 3128
2014
-
[71]
B., Bignone, L., Gonzalez-Jara, J., et al
Tissera, P. B., Bignone, L., Gonzalez-Jara, J., et al. 2024 submitted, A&A
2024
-
[72]
B., Scannapieco, C., Beers, T
Tissera, P. B., Scannapieco, C., Beers, T. C., & Carollo, D. 2013, MNRAS, 432, 3391
2013
-
[73]
B., White, S
Tissera, P. B., White, S. D., & Scannapieco, C. 2012, MNRAS, 420, 255
2012
-
[74]
2009, ARA&A, 47, 371
Tolstoy, E., Hill, V ., & Tosi, M. 2009, ARA&A, 47, 371
2009
-
[75]
A., Heckman, T
Tremonti, C. A., Heckman, T. M., Kauffmann, G., et al. 2004, ApJ, 613, 898 van Dokkum, P. G., Abraham, R., & Merritt, A. 2014, ApJ, 782, L24
2004
-
[76]
A., Monachesi, A., et al
Vera-Casanova, A., Gomez, F. A., Monachesi, A., et al. 2022, MNRAS, 514, 4898
2022
-
[77]
White, S. D. M. & Rees, M. J. 1978, MNRAS, 183, 341
1978
-
[78]
2006, A&A, 457, L1
Zoccali, M., Lecureur, A., Barbuy, B., et al. 2006, A&A, 457, L1
2006
-
[79]
M., et al
Zolotov, A., Willman, B., Brooks, A. M., et al. 2009, ApJ, 702, 1058 Article number, page 16 of 16
2009
Reviewed August 11, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.