REVIEW 1 major objections 5 minor 2 cited by
Dwarf Galaxies in the TNG50 Field: connecting their Star-formation Rates with their Environments
T0 review · 1 major / 5 minor · reviewed 2026-08-10 · deepseek-v4-flash
Pith's one-line read In the TNG50 simulation, only about 1% of the most isolated dwarf galaxies are quenched, and nearly all quenched field dwarfs are backsplash galaxies that once orbited near cluster-scale halos.
desk verdict Solid TNG50 analysis that convincingly identifies backsplash dwarfs as the main quenched field population and the drivers of two-halo conformity; the headline fractions are single-realization numbers, so treat them with a cosmic-variance caveat. 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 machinery is a classification of field dwarf subhalos into primary (central), secondary, and backsplash dwarfs, combined with two large-scale environment estimators. Backsplash dwarfs are identified by tracing merger trees for subhalos currently outside a massive halo's virial radius (R200 < r < 10R200) whose main progenitor branch crossed inside that halo's R200 at some earlier time. The environment estimators are the distance to the nearest massive galaxy dmassive (defined with log(M*/M⊙) ≥ 9.5 neighbors) and the tidal index Θ1, a dimensionless measure of the tidal force from the five nearest massive galaxies. These estimators separate isolated, star-forming dwarfs from those influenced by massive halos, and the backsplash classification isolates the population that carries the quenching and conformity signals.
What would settle it
Measure the quenched fraction of isolated dwarf galaxies (log(M*/M⊙) between 7.5 and 9.5) with nearest massive galaxy farther than 1.5 Mpc in a large spectroscopic survey. If significantly more than about 1% of such truly isolated dwarfs are quenched, the paper's central claim would be contradicted. A second falsifier would be to run a higher-resolution simulation with a different stellar feedback model and check whether the 1% isolated quenched fraction and the backsplash domination of quenched field dwarfs persist.
Extended reading notes
Core claim
The central claim is that environmental quenching of dwarf galaxies in the field is almost entirely confined to regions near massive halos, while genuinely isolated dwarfs remain star-forming. In dwarf galaxies with stellar masses 7.5 < log(M*/M⊙) < 9.5 hosted by halos with log(M200/M⊙) < 11.5, the quenched fraction is only about 1% for dwarfs with distance to nearest massive galaxy dmassive > 1.5 Mpc and tidal index Θ1 < 0. Most of the 8% overall quenched fraction among field dwarfs consists of backsplash dwarfs (82.4% quenched) located at dmassive < 1.5 Mpc and Θ1 > 0, near cluster-scale halos with log(M200/M⊙) ≳ 13. The paper further discovers a two-halo galactic conformity signal at dmassive ≲ 1 Mpc that largely disappears when backsplash dwarfs are removed, indicating that the clustering of quenched massive neighbors and quenched dwarf neighbors is a backsplash-driven phenomenon. The low quenched fractions of observed LMC/SMC analogs are explained by the sparse large-scale environments of their low-mass hosts, which dominate over the small number of backsplash and processed primary dwarfs.
Load-bearing premise
The analysis assumes that TNG50's subgrid baryonic physics, especially stellar feedback and ram-pressure stripping, faithfully reproduces how real dwarf galaxies quench; if those processes quench dwarfs at incorrect rates, the absolute quenched fractions would not transfer to observations even if the relative environmental trends might.
Editorial extensions
If this is right
- Observational surveys of LMC/SMC-like dwarfs in low-density environments should find quenched fractions near 1%, not the higher values seen in groups and clusters.
- Quenched field dwarfs discovered in surveys should preferentially be found within about 1.5 Mpc of cluster-scale halos, and many should show signatures of past pericentric passages, such as tidally stripped outer halos.
- Two-halo galactic conformity for dwarf galaxies should be detected at separations of about 1 Mpc or less, and it should be dominated by backsplash dwarfs rather than isolated primaries.
- The isolation threshold of 1.5 Mpc from a massive galaxy, often used in observational studies, corresponds to the reach of backsplash orbits around cluster-scale halos, so the definition of 'field' may need to account for the splashback radius.
Reading between the lines
- If the backsplash interpretation is correct, weak-lensing measurements of quenched field dwarfs should reveal lower dark-matter masses at fixed stellar mass compared to star-forming field dwarfs, because tidal stripping removes outer halo mass.
- The result implies that environmental quenching of dwarfs can act beyond the virial radius, across inter-halo scales, so simulations with larger volumes and more massive clusters may find that the 1.5 Mpc isolation threshold varies with cluster abundance and redshift.
- The strong backsplash contribution to two-halo conformity suggests that single-halo quenching models that ignore orbital histories will underpredict the spatial correlation of quenched dwarfs with quenched massive galaxies.
- A testable extension is to measure the quenched fraction of isolated dwarfs in upcoming wide surveys such as DESI or LSST as a function of distance to the nearest massive galaxy; if it rises well above 1% at large distances, the backsplash-dominated picture would need revision.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript uses the TNG50 simulation to study dwarf galaxies with stellar masses 7.5 < log(M*/Msun) < 9.5 that reside in low-mass host halos with 9 < log(M200/Msun) < 11.5, classifying them into primaries, secondaries, and backsplash dwarfs. It defines quenched and starburst populations by offset from the simulated star-forming main sequence, measures quenched and starburst fractions as functions of distance to the nearest massive galaxy and the tidal index, computes star-formation history epochs tau50 and tau90, and searches for two-halo galactic conformity. The principal findings are that only about 1% of the most isolated dwarfs are quenched, that 8% of the fiducial field sample is quenched, that the quenched field dwarfs are predominantly backsplash dwarfs near cluster-scale halos, and that the two-halo conformity signal at dmassive < 1.5 Mpc is largely driven by the backsplash population. Appendix B repeats the analysis with a broader field definition and reports qualitatively unchanged results.
Significance. If the results hold, the paper provides a coherent environmental explanation for the low quenched fraction of LMC/SMC analogs in the field and identifies backsplash dwarfs as the dominant quenched population outside massive halos. The analysis is careful in several respects: it uses two independent environment estimators, provides bootstrap uncertainties, tests the robustness of the field definition in Appendix B, and connects the findings to ongoing and future surveys such as DESI, LSST, and Merian. The main limitation is that all quantitative fractions are measured in a single TNG50 realization; the bootstrap errors are conditional on that box and do not capture field-to-field cosmic variance.
major comments (1)
- [Section 4.2, Figures 6/8/10; Section 5.2; Section 6] The headline fractions (1%, 8%, 82%) and the two-halo conformity amplitude are single-realization estimates. The bootstrap resampling described in Section 4.2 resamples halos inside the one TNG50 box, so it estimates sampling noise conditional on that box, not independent realizations of a 35 Mpc/h volume. This matters because the quenched backsplash dwarfs are concentrated around cluster-scale halos with log(M200/Msun) >= 13, and Section 5.2 notes that TNG50 contains only a single cluster with log(M200/Msun) > 14. The 8% overall field quenched fraction and the conformity signal at dmassive < 1.5 Mpc could therefore fluctuate substantially across independent boxes. The authors acknowledge this in words in Sections 5.2 and 6, but the abstract and Section 4.3 present the numbers without a corresponding caveat. I recommend either quantifying the realization variance (for example, by jackknifing over subvolumes or comparing with TNG100/TNG300 at matched resolution) or explicitly stating in the abstract and throughout that the fractions are conditional on the single TNG50 realization.
minor comments (5)
- [Section 3.2 and Section 5.3] The sample counts are internally inconsistent: Section 3.2 reports 5843 field dwarfs composed of 5003 primaries, 465 secondaries, and 375 backsplash dwarfs, but then refers to 505 secondaries, and Section 5.3 states that 317 pairs, 45 triples, and 5 higher-order groups exist; these numbers do not obviously reconcile with the stated counts of primaries with secondaries (429) or with 465/505 secondaries. Please clarify the definitions and make the numbers consistent.
- [Section 4.3, Section 5.1, Section 6] The percentages of quenched field dwarfs in the dense-environment regions are quoted inconsistently: Section 4.3 says the dmassive < 1.5 Mpc and Theta1 > 0 regions contain 91% and 93% of the quenched dwarfs, whereas Section 5.1 and the conclusions say 88% and 92%. These numbers should be harmonized.
- [Table 1 and Section 4.4] The quenched fraction for backsplash dwarfs is given as 82.4% in Table 1 but as 84% in the text of Section 4.4; please make these consistent, and clarify whether the 96% quoted in Section 4.1 refers only to the gas-poor backsplash dwarfs or to the full backsplash sample.
- [Section 4.2] The bootstrap description states that N=1000 resamplings of the host halos were performed, but it does not specify whether the resampling is at the host-halo level or the galaxy level, or whether it is with replacement; please specify the resampling unit so the uncertainty estimates are reproducible.
- [Typographical issues] There are several typographical errors that should be corrected: "enviornment" in Section 3.5.1, "backlsplash" and "sqaures" in the caption of Figure 8, "the the virial radius" in Section 5.2, and the caption of Figure 16 contains the self-referential phrase "to be compared with 16".
Circularity Check
No significant circularity: the quenched fractions and conformity signal are direct measurements in TNG50, with definitions taken from external or established work, and no fitted parameter is renamed as a prediction.
full rationale
The paper's central claims are measurements within the TNG50 simulation, not derivations from fitted parameters. The quenched/star-forming classification uses the SFMS defined internally from the same simulated dwarfs ('we calculate the median sSFR for dwarfs in 0.2 dex bins of log(M*/Msun)... any galaxy below this is deemed quenched'), but this is a standard classification threshold borrowed from Donnari et al. (2021a), not a parameter tuned to produce the headline fractions. The key numbers — ~1% quenched at dmassive > 1.5 Mpc and Theta1 < 0, 8% overall field quenched fraction, 82.4% backsplash quenched fraction, and the two-halo conformity signal — are counted directly from sample definitions (host mass cuts, backsplash orbit identification following Borrow et al. 2023, and nearest-massive-galaxy/tidal-index estimators). No equation reduces to itself by construction: the isolation threshold 1.5 Mpc comes from Geha et al. (2012), the tidal-index calibration from Karachentsev et al. (2013), and the splashback radius from More et al. (2015), all external. The self-citations to Bhattacharyya et al. (2024) appear in context statements about backsplash dwarfs and gravitational influence of massive galaxies, but they are not load-bearing for the measured fractions or the conformity signal. The acknowledged single-cluster limitation of TNG50 is a cosmic-variance and model-fidelity caveat, not a circularity; bootstrap errors condition on the one simulated box. The baryonic-physics fidelity of TNG50 is an external validity assumption, not an input-output equivalence inside the paper. Accordingly, no circular step is identified.
Assumptions & free parameters
free parameters (5)
- Field host halo mass selection =
9 < log(M200/Msun) < 11.5
- Stellar mass selection =
7.5 < log(M*/Msun) < 9.5
- Quenched threshold =
1 dex below star-forming main sequence
- Massive galaxy threshold =
log(M*/Msun) >= 9.5
- Isolation thresholds =
dmassive > 1.5 Mpc and Theta1 < 0
assumptions (3)
- domain assumption TNG50 subgrid baryonic physics (star formation, stellar and AGN feedback, gas cooling) accurately reproduces dwarf galaxy quenching.
- domain assumption SUBFIND halo identification and merger trees correctly trace subhalo orbits, allowing reliable backsplash classification.
- domain assumption The star-forming main sequence derived from the simulation is a valid reference for defining quenched galaxies.
Cite this review
Pith. "Pith review of Dwarf Galaxies in the TNG50 Field: connecting their Star-formation Rates with their Environments." pith.science (2026). https://pith.science/paper/2KH74NIJ
@misc{pith2026250101946,
author = {Pith},
title = {Pith review of: Dwarf Galaxies in the TNG50 Field: connecting their Star-formation Rates with their Environments},
year = {2026},
howpublished = {\url{https://pith.science/paper/2KH74NIJ}},
note = {Machine review of arXiv:2501.01946}
}
abstract
The dwarf galaxies comparable to the LMC and SMC, with stellar masses $7.5 <{\rm log}(M_{\ast}/M_{\odot})<9.5$, are found in a diversity of environments and have long quenching timescales. We need to understand how this phenomenon is connected to the dwarfs' halo properties and their locations in the large-scale structure of the universe. We study the star-formation rates of dwarfs in the TNG50 simulation of the IllustrisTNG project across different environments, focusing on field dwarfs in host halos with virial masses of $9 < {\rm log}(M_{200}/M_{\odot}) < 11.5$, in contrast to dwarf satellites in hosts with ${\rm log}(M_{200}/M_{\odot}) \geq 11.5$. Our field dwarf sample is heterogeneous, consisting of primary (central) galaxies, with smaller numbers of secondaries and dwarf galaxies that are on backsplash orbits around massive galaxies. We study how the quenched fraction and star-formation histories depend on the dwarfs' large-scale environment and find that only $\sim 1\%$ of the most isolated dwarfs are quenched. The vast majority of the quenched field dwarfs are backsplash dwarfs located in the neighborhood of cluster-scale halos. We discover a two-halo galactic conformity signal that arises from the tendency of the quenched dwarfs, particularly the backsplash sample, to have a quenched massive galaxy as a neighbor. We attribute the low quenched fractions of the simulated LMC/SMC analogs in the field to the locations of their low-mass hosts in the sparse large-scale environment, which predominate over the relatively small number of backsplash and quenched primary dwarfs in denser environments.
Figures
Figures from the paper (13 more)
Forward citations
Cited by 2 Pith papers
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Zangetsu: A Candidate of Isolated, Quiescent, and Backsplash Ultra-Diffuse Galaxy in the COSMOS Field
A candidate ultra-diffuse galaxy, Zangetsu, found in HSC COSMOS images is unusually elongated, quiescent, apparently isolated, and an extreme size outlier.
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The Environmental Quenching Mechanisms of Field Dwarf Galaxies
In TNG50, all quenched field dwarf galaxies are environmental casualties, split between backsplash from massive hosts and cosmic-web stripping in filaments.
Reference graph
Works this paper leans on
-
[1]
Adhikari , S., Dalal , N., & Chamberlain , R. T. 2014, , 2014, 019, 10.1088/1475-7516/2014/11/019
-
[2]
Akins , H. B., Christensen , C. R., Brooks , A. M., et al. 2021, , 909, 139, 10.3847/1538-4357/abe2ab
-
[3]
Aragon Calvo , M. A., Neyrinck , M. C., & Silk , J. 2019, The Open Journal of Astrophysics, 2, 7, 10.21105/astro.1697.07881
arXiv 2019
-
[4]
Astropy Collaboration , Robitaille , T. P., Tollerud , E. J., et al. 2013, , 558, A33, 10.1051/0004-6361/201322068
-
[5]
Astropy Collaboration , Price-Whelan , A. M., Sip o cz , B. M., et al. 2018, , 156, 123, 10.3847/1538-3881/aabc4f
-
[6]
Ayromlou , M., Kauffmann , G., Anand , A., & White , S. D. M. 2023, , 519, 1913, 10.1093/mnras/stac3637
-
[7]
Ayromlou , M., Kauffmann , G., Yates , R. M., Nelson , D., & White , S. D. M. 2021, , 505, 492, 10.1093/mnras/stab1245
-
[8]
Bah \'e , Y. M., McCarthy , I. G., Balogh , M. L., & Font , A. S. 2013, , 430, 3017, 10.1093/mnras/stt109
Show all 137 references
-
[9]
H., Hearin , A
Behroozi , P., Wechsler , R. H., Hearin , A. P., & Conroy , C. 2019, , 488, 3143, 10.1093/mnras/stz1182
2019 doi
-
[10]
2013, , 559, L11, 10.1051/0004-6361/201322744
Bellazzini , M., Oosterloo , T., Fraternali , F., & Beccari , G. 2013, , 559, L11, 10.1051/0004-6361/201322744
2013 doi
- [11]
-
[12]
A., Sales , L
Benavides , J. A., Sales , L. V., Abadi , M. G., et al. 2021, Nature Astronomy, 5, 1255, 10.1038/s41550-021-01458-1
2021 doi
-
[13]
F., Abadi , M
Ben \' tez-Llambay , A., Navarro , J. F., Abadi , M. G., et al. 2013, , 763, L41, 10.1088/2041-8205/763/2/L41
2013 doi
-
[14]
R., Stierwalt , S., et al
Besla , G., Patton , D. R., Stierwalt , S., et al. 2018, , 480, 3376, 10.1093/mnras/sty2041
2018 doi
-
[15]
Bhattacharyya , J., Peter , A. H. G., Martini , P., et al. 2024, , 975, 244, 10.3847/1538-4357/ad79fe
2024 doi
-
[16]
A., & Smith , A
Borrow , J., Vogelsberger , M., O'Neil , S., McDonald , M. A., & Smith , A. 2023, , 520, 649, 10.1093/mnras/stad045
2023 doi
-
[17]
D., Geha , M
Bradford , J. D., Geha , M. C., & Blanton , M. R. 2015, , 809, 146, 10.1088/0004-637X/809/2/146
2015 doi
-
[18]
L., Sand , D
Carlin , J. L., Sand , D. J., Price , P., et al. 2016, , 828, L5, 10.3847/2041-8205/828/1/L5
2016 doi
-
[19]
L., Garling , C
Carlin , J. L., Garling , C. T., Peter , A. H. G., et al. 2019, , 886, 109, 10.3847/1538-4357/ab4c32
2019 doi
-
[20]
L., Mutlu-Pakdil , B., Crnojevi \'c , D., et al
Carlin , J. L., Mutlu-Pakdil , B., Crnojevi \'c , D., et al. 2021, , 909, 211, 10.3847/1538-4357/abe040
2021 doi
-
[21]
G., Greene , J
Carlsten , S. G., Greene , J. E., Beaton , R. L., Danieli , S., & Greco , J. P. 2022, , 933, 47, 10.3847/1538-4357/ac6fd7
2022 doi
-
[22]
R., Brooks , A
Christensen , C. R., Brooks , A. M., Munshi , F., et al. 2024, , 961, 236, 10.3847/1538-4357/ad0c5a
2024 doi
-
[23]
C., Newman , J
Cooper , M. C., Newman , J. A., Madgwick , D. S., et al. 2005, , 634, 833, 10.1086/432868
2005 doi
-
[24]
J., Gao , L., & White , S
Croton , D. J., Gao , L., & White , S. D. M. 2007, , 374, 1303, 10.1111/j.1365-2966.2006.11230.x
2007
- [25]
-
[26]
F., Mao , Y.-Y., et al
Darragh-Ford , E., Wu , J. F., Mao , Y.-Y., et al. 2023, , 954, 149, 10.3847/1538-4357/ace902
2023 doi
-
[27]
B., Nierenberg , A
Davis , A. B., Nierenberg , A. M., Peter , A. H. G., et al. 2021, , 500, 3854, 10.1093/mnras/staa3246
2021 doi
- [28]
-
[29]
J., Wetzel , A
Deason , A. J., Wetzel , A. R., Garrison-Kimmel , S., & Belokurov , V. 2015, , 453, 3568, 10.1093/mnras/stv1939
2015 doi
- [30]
-
[31]
M., Starkenburg , T
Dickey , C. M., Starkenburg , T. K., Geha , M., et al. 2021, , 915, 53, 10.3847/1538-4357/abc014
2021 doi
-
[32]
2018, , 239, 35, 10.3847/1538-4365/aaee8c
Diemer , B. 2018, , 239, 35, 10.3847/1538-4365/aaee8c
2018 doi
- [33]
-
[34]
Diemer , B., & Kravtsov , A. V. 2014, , 789, 1, 10.1088/0004-637X/789/1/1
2014 doi
-
[35]
2008, , 686, L61, 10.1086/592995
D'Onghia , E., & Lake , G. 2008, , 686, L61, 10.1086/592995
2008 doi
-
[36]
2021 a , , 506, 4760, 10.1093/mnras/stab1950
Donnari , M., Pillepich , A., Nelson , D., et al. 2021 a , , 506, 4760, 10.1093/mnras/stab1950
2021 doi
-
[37]
D., et al
Donnari , M., Pillepich , A., Joshi , G. D., et al. 2021 b , , 500, 4004, 10.1093/mnras/staa3006
2021 doi
-
[38]
A., Peter , A
Dooley , G. A., Peter , A. H. G., Carlin , J. L., et al. 2017, , 472, 1060, 10.1093/mnras/stx2001
2017 doi
-
[39]
L., Nidever , D
Drlica-Wagner , A., Carlin , J. L., Nidever , D. L., et al. 2021, , 256, 2, 10.3847/1538-4365/ac079d
2021 doi
-
[40]
D., et al
Engler , C., Pillepich , A., Joshi , G. D., et al. 2023, , 522, 5946, 10.1093/mnras/stad1357
2023 doi
- [41]
-
[42]
Erkal , D., & Belokurov , V. A. 2020, , 495, 2554, 10.1093/mnras/staa1238
2020 doi
-
[43]
P., Cooper , M
Fillingham , S. P., Cooper , M. C., Wheeler , C., et al. 2015, , 454, 2039, 10.1093/mnras/stv2058
2015 doi
- [44]
- [45]
-
[46]
Gao , L., Springel , V., & White , S. D. M. 2005, , 363, L66, 10.1111/j.1745-3933.2005.00084.x
2005
-
[47]
T., Peter , A
Garling , C. T., Peter , A. H. G., Kochanek , C. S., Sand , D. J., & Crnojevi \'c , D. 2020, , 492, 1713, 10.1093/mnras/stz3526
2020 doi
- [48]
-
[49]
T., Peter , A
Garling , C. T., Peter , A. H. G., Spekkens , K., et al. 2024, , 528, 365, 10.1093/mnras/stae014
2024 doi
-
[50]
S., & Lee , K
Garrison-Kimmel , S., Boylan-Kolchin , M., Bullock , J. S., & Lee , K. 2014, , 438, 2578, 10.1093/mnras/stt2377
2014 doi
-
[51]
R., Yan , R., & Tinker , J
Geha , M., Blanton , M. R., Yan , R., & Tinker , J. L. 2012, , 757, 85, 10.1088/0004-637X/757/1/85
2012 doi
-
[52]
H., Mao , Y.-Y., et al
Geha , M., Wechsler , R. H., Mao , Y.-Y., et al. 2017, , 847, 4, 10.3847/1538-4357/aa8626
2017 doi
- [53]
-
[54]
Gill , S. P. D., Knebe , A., & Gibson , B. K. 2005, , 356, 1327, 10.1111/j.1365-2966.2004.08562.x
2005
-
[55]
E., Danieli , S., Carlsten , S., et al
Greene , J. E., Danieli , S., Carlsten , S., et al. 2023, , 949, 94, 10.3847/1538-4357/acc58c
2023 doi
-
[57]
R., Millman , K
Harris , C. R., Millman , K. J., van der Walt , S. J., et al. 2020, , 585, 357, 10.1038/s41586-020-2649-2
2020 doi
-
[58]
2006, , 131, 2514, 10.1086/500974
Harris , J., & Zaritsky , D. 2006, , 131, 2514, 10.1086/500974
2006 doi
-
[59]
N., Abeyta , A., et al
Hasan , F., Burchett , J. N., Abeyta , A., et al. 2023, , 950, 114, 10.3847/1538-4357/acd11c
2023 doi
-
[60]
P., Watson , D
Hearin , A. P., Watson , D. F., & van den Bosch , F. C. 2015, , 452, 1958, 10.1093/mnras/stv1358
2015 doi
-
[61]
2014, , 444, 2938, 10.1093/mnras/stu1609
Hirschmann , M., De Lucia , G., Wilman , D., et al. 2014, , 444, 2938, 10.1093/mnras/stu1609
2014 doi
-
[63]
Hunter , J. D. 2007, Computing in Science and Engineering, 9, 90, 10.1109/MCSE.2007.55
2007 doi
-
[64]
D., Sales , L
Jahn , E. D., Sales , L. V., Wetzel , A., et al. 2022, , 513, 2673, 10.1093/mnras/stac811
2022 doi
-
[65]
D., Pillepich , A., Nelson , D., et al
Joshi , G. D., Pillepich , A., Nelson , D., et al. 2021, , 508, 1652, 10.1093/mnras/stab2573
2021 doi
-
[66]
2024, , 963, 37, 10.3847/1538-4357/ad18cb
Kado-Fong , E., Robinson , A., Nyland , K., et al. 2024, , 963, 37, 10.3847/1538-4357/ad18cb
2024 doi
-
[67]
D., Kaisina , E
Karachentsev , I. D., Kaisina , E. I., & Makarov , D. I. 2018, , 479, 4136, 10.1093/mnras/sty1774
2018 doi
-
[68]
D., Karachentseva , V
Karachentsev , I. D., Karachentseva , V. E., Huchtmeier , W. K., & Makarov , D. I. 2004, , 127, 2031, 10.1086/382905
2004 doi
-
[69]
D., & Makarov , D
Karachentsev , I. D., & Makarov , D. I. 1999, in Galaxy Interactions at Low and High Redshift, ed. J. E. Barnes & D. B. Sanders , Vol. 186, 109
1999
-
[70]
D., Makarov , D
Karachentsev , I. D., Makarov , D. I., & Kaisina , E. I. 2013, , 145, 101, 10.1088/0004-6256/145/4/101
2013 doi
-
[71]
2013, , 430, 1447, 10.1093/mnras/stt007
Kauffmann , G., Li , C., Zhang , W., & Weinmann , S. 2013, , 430, 1447, 10.1093/mnras/stt007
2013 doi
-
[72]
2015, , 454, 1798, 10.1093/mnras/stv2040
Klypin , A., Karachentsev , I., Makarov , D., & Nasonova , O. 2015, , 454, 1798, 10.1093/mnras/stv2040
2015 doi
-
[73]
I., Knollmann , S
Knebe , A., Libeskind , N. I., Knollmann , S. R., et al. 2011, , 412, 529, 10.1111/j.1365-2966.2010.17924.x
2011
-
[74]
J., Cucciati , O., et al
Kova c , K., Lilly , S. J., Cucciati , O., et al. 2010, , 708, 505, 10.1088/0004-637X/708/1/505
2010 doi
-
[75]
J., Knobel , C., et al
Kova c , K., Lilly , S. J., Knobel , C., et al. 2014, , 438, 717, 10.1093/mnras/stt2241
2014 doi
-
[76]
D., et al
Lacerna , I., Rodriguez , F., Montero-Dorta , A. D., et al. 2022, , 513, 2271, 10.1093/mnras/stac1020
2022 doi
-
[77]
2020, Physics of the Dark Universe, 30, 100719, 10.1016/j.dark.2020.100719
Leauthaud , A., Singh , S., Luo , Y., et al. 2020, Physics of the Dark Universe, 30, 100719, 10.1016/j.dark.2020.100719
2020
- [78]
-
[79]
D., Navarro , J
Ludlow , A. D., Navarro , J. F., Springel , V., et al. 2009, , 692, 931, 10.1088/0004-637X/692/1/931
2009 doi
-
[80]
2024, , 530, 4988, 10.1093/mnras/stae925
Luo , Y., Leauthaud , A., Greene , J., et al. 2024, , 530, 4988, 10.1093/mnras/stae925
2024 doi
-
[81]
J., Gabany , R
Mart \' nez-Delgado , D., Romanowsky , A. J., Gabany , R. J., et al. 2012, , 748, L24, 10.1088/2041-8205/748/2/L24
2012 doi
-
[82]
Mateo , M. L. 1998, , 36, 435, 10.1146/annurev.astro.36.1.435
1998 doi
-
[83]
McConnachie , A. W. 2012, , 144, 4, 10.1088/0004-6256/144/1/4
2012 doi
-
[84]
E., Kado-Fong , E., et al
Mintz , A., Greene , J. E., Kado-Fong , E., et al. 2024, , 974, 273, 10.3847/1538-4357/ad6861
2024 doi
-
[85]
More , S., Diemer , B., & Kravtsov , A. V. 2015, , 810, 36, 10.1088/0004-637X/810/1/36
2015 doi
-
[86]
P., Naab , T., & White , S
Moster , B. P., Naab , T., & White , S. D. M. 2013, , 428, 3121, 10.1093/mnras/sts261
2013 doi
-
[87]
I., Croton , D
Muldrew , S. I., Croton , D. J., Skibba , R. A., et al. 2012, , 419, 2670, 10.1111/j.1365-2966.2011.19922.x
2012
-
[88]
M., Applebaum , E., et al
Munshi , F., Brooks , A. M., Applebaum , E., et al. 2021, , 923, 35, 10.3847/1538-4357/ac0db6
2021 doi
-
[89]
J., Crnojevi \'c , D., et al
Mutlu-Pakdil , B., Sand , D. J., Crnojevi \'c , D., et al. 2024, , 966, 188, 10.3847/1538-4357/ad36c4
2024 doi
-
[90]
O., Gluscevic , V., Driskell , T., et al
Nadler , E. O., Gluscevic , V., Driskell , T., et al. 2024, , 967, 61, 10.3847/1538-4357/ad3bb1
2024 doi
-
[91]
O., Wechsler , R
Nadler , E. O., Wechsler , R. H., Bechtol , K., et al. 2020, , 893, 48, 10.3847/1538-4357/ab846a
2020 doi
-
[92]
2018, , 475, 624, 10.1093/mnras/stx3040
Nelson , D., Pillepich , A., Springel , V., et al. 2018, , 475, 624, 10.1093/mnras/stx3040
2018 doi
-
[93]
2019, Computational Astrophysics and Cosmology, 6, 2, 10.1186/s40668-019-0028-x
Nelson , D., Springel , V., Pillepich , A., et al. 2019, Computational Astrophysics and Cosmology, 6, 2, 10.1186/s40668-019-0028-x
2019 doi
-
[94]
I., Knebe , A., et al
Newton , O., Libeskind , N. I., Knebe , A., et al. 2022, , 514, 3612, 10.1093/mnras/stac1316
2022 doi
-
[95]
2023, , 943, 30, 10.3847/1538-4357/acaa39
Olsen , C., & Gawiser , E. 2023, , 943, 30, 10.3847/1538-4357/acaa39
2023 doi
-
[96]
B., Erkal , D., & Li , T
Pace , A. B., Erkal , D., & Li , T. S. 2022, , 940, 136, 10.3847/1538-4357/ac997b
2022 doi
-
[97]
M., Kravtsov , A., et al
Pan , Y., Simpson , C. M., Kravtsov , A., et al. 2023, , 519, 4499, 10.1093/mnras/stac3663
2023 doi
-
[98]
C., Springel , V., & van de Voort , F
Pasha , I., Mandelker , N., van den Bosch , F. C., Springel , V., & van de Voort , F. 2022, , 10.1093/mnras/stac3776
2022 doi
-
[99]
2020, , 893, 121, 10.3847/1538-4357/ab7b75
Patel , E., Kallivayalil , N., Garavito-Camargo , N., et al. 2020, , 893, 121, 10.3847/1538-4357/ab7b75
2020 doi
-
[100]
E., et al
Pearson , S., Besla , G., Putman , M. E., et al. 2016, , 459, 1827, 10.1093/mnras/stw757
2016 doi
-
[101]
J., Kova c , K., et al
Peng , Y.-j., Lilly , S. J., Kova c , K., et al. 2010, , 721, 193, 10.1088/0004-637X/721/1/193
2010 doi
-
[102]
I., Wheeler , C., Cooper , M
Phillips , J. I., Wheeler , C., Cooper , M. C., et al. 2015, , 447, 698, 10.1093/mnras/stu2192
2015 doi
-
[103]
2018, , 473, 4077, 10.1093/mnras/stx2656
Pillepich , A., Springel , V., Nelson , D., et al. 2018, , 473, 4077, 10.1093/mnras/stx2656
2018 doi
-
[104]
2019, , 490, 3196, 10.1093/mnras/stz2338
Pillepich , A., Nelson , D., Springel , V., et al. 2019, , 490, 3196, 10.1093/mnras/stz2338
2019 doi
-
[105]
Planck Collaboration , Ade , P. A. R., Aghanim , N., et al. 2016, , 594, A13, 10.1051/0004-6361/201525830
2016 doi
-
[106]
I., Iorio , G., Agertz , O., & Fraternali , F
Read , J. I., Iorio , G., Agertz , O., & Fraternali , F. 2017, , 467, 2019, 10.1093/mnras/stx147
2017 doi
- [107]
-
[108]
V., Wang , W., White , S
Sales , L. V., Wang , W., White , S. D. M., & Navarro , J. F. 2013, , 428, 573, 10.1093/mnras/sts054
2013 doi
-
[109]
2023, , 525, 3849, 10.1093/mnras/stad2576
Samuel , J., Pardasani , B., Wetzel , A., et al. 2023, , 525, 3849, 10.1093/mnras/stad2576
2023 doi
-
[110]
2022, , 514, 5276, 10.1093/mnras/stac1706
Samuel , J., Wetzel , A., Santistevan , I., et al. 2022, , 514, 5276, 10.1093/mnras/stac1706
2022 doi
-
[111]
J., Spekkens , K., Crnojevi \'c , D., et al
Sand , D. J., Spekkens , K., Crnojevi \'c , D., et al. 2015, , 812, L13, 10.1088/2041-8205/812/1/L13
2015 doi
-
[112]
Simon , J. D. 2019, , 57, 375, 10.1146/annurev-astro-091918-104453
2019 doi
-
[113]
M., Grand , R
Simpson , C. M., Grand , R. J. J., G \'o mez , F. A., et al. 2018, , 478, 548, 10.1093/mnras/sty774
2018 doi
-
[114]
2010, , 401, 791, 10.1111/j.1365-2966.2009.15715.x
Springel , V. 2010, , 401, 791, 10.1111/j.1365-2966.2009.15715.x
2010
-
[115]
Springel , V., White , S. D. M., Tormen , G., & Kauffmann , G. 2001, , 328, 726, 10.1046/j.1365-8711.2001.04912.x
2001
-
[116]
2018, , 475, 676, 10.1093/mnras/stx3304
Springel , V., Pakmor , R., Pillepich , A., et al. 2018, , 475, 676, 10.1093/mnras/stx3304
2018 doi
-
[117]
2015, , 805, 2, 10.1088/0004-637X/805/1/2
Stierwalt , S., Besla , G., Patton , D., et al. 2015, , 805, 2, 10.1088/0004-637X/805/1/2
2015 doi
-
[118]
E., Johnson , K
Stierwalt , S., Liss , S. E., Johnson , K. E., et al. 2017, Nature Astronomy, 1, 0025, 10.1038/s41550-016-0025
2017 doi
-
[119]
V., & Kuhlen , M
Teyssier , M., Johnston , K. V., & Kuhlen , M. 2012, , 426, 1808, 10.1111/j.1365-2966.2012.21793.x
2012
- [120]
-
[121]
L., Hahn , C., Mao , Y.-Y., Wetzel , A
Tinker , J. L., Hahn , C., Mao , Y.-Y., Wetzel , A. R., & Conroy , C. 2018, , 477, 935, 10.1093/mnras/sty666
2018 doi
-
[122]
B., Somerville , R
Tully , R. B., Somerville , R. S., Trentham , N., & Verheijen , M. A. W. 2002, , 569, 573, 10.1086/339425
2002 doi
-
[123]
B., Rizzi , L., Dolphin , A
Tully , R. B., Rizzi , L., Dolphin , A. E., et al. 2006, , 132, 729, 10.1086/505466
2006 doi
-
[124]
P., Alves , D
van der Marel , R. P., Alves , D. R., Hardy , E., & Suntzeff , N. B. 2002, , 124, 2639, 10.1086/343775
2002 doi
-
[125]
E., et al
Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nature Methods, 17, 261, 10.1038/s41592-019-0686-2
2020 doi
-
[126]
2023, , 523, 1268, 10.1093/mnras/stad1169
Wang , K., Peng , Y., & Chen , Y. 2023, , 523, 1268, 10.1093/mnras/stad1169
2023 doi
-
[127]
J., et al
Wang , Y., Yang , X., Mo , H. J., et al. 2009, , 697, 247, 10.1088/0004-637X/697/1/247
2009 doi
-
[128]
H., & Tinker , J
Wechsler , R. H., & Tinker , J. L. 2018, , 56, 435, 10.1146/annurev-astro-081817-051756
2018 doi
-
[129]
2017, , 465, 3291, 10.1093/mnras/stw2944
Weinberger , R., Springel , V., Hernquist , L., et al. 2017, , 465, 3291, 10.1093/mnras/stw2944
2017 doi
-
[130]
M., van den Bosch , F
Weinmann , S. M., van den Bosch , F. C., Yang , X., & Mo , H. J. 2006, , 366, 2, 10.1111/j.1365-2966.2005.09865.x
2006
-
[131]
R., Dolphin , A
Weisz , D. R., Dolphin , A. E., Skillman , E. D., et al. 2015, , 804, 136, 10.1088/0004-637X/804/2/136
2015 doi
-
[132]
R., Tinker , J
Wetzel , A. R., Tinker , J. L., Conroy , C., & van den Bosch , F. C. 2014, , 439, 2687, 10.1093/mnras/stu122
2014 doi
-
[133]
R., Tollerud , E
Wetzel , A. R., Tollerud , E. J., & Weisz , D. R. 2015, , 808, L27, 10.1088/2041-8205/808/1/L27
2015 doi
-
[134]
I., Cooper , M
Wheeler , C., Phillips , J. I., Cooper , M. C., Boylan-Kolchin , M., & Bullock , J. S. 2014, , 442, 1396, 10.1093/mnras/stu965
2014 doi
-
[135]
White , S. D. M., & Rees , M. J. 1978, , 183, 341, 10.1093/mnras/183.3.341
1978 doi
-
[136]
M., et al
Woo , J., Dekel , A., Faber , S. M., et al. 2013, , 428, 3306, 10.1093/mnras/sts274
2013 doi
-
[137]
Y., Abadi , M
Yaryura , C. Y., Abadi , M. G., Gottl \"o ber , S., et al. 2023, , 525, 415, 10.1093/mnras/stad2300
2023 doi
-
[138]
2016, , 457, 4360, 10.1093/mnras/stw221
Zu , Y., & Mandelbaum , R. 2016, , 457, 4360, 10.1093/mnras/stw221
2016 doi
- [139]
Reviewed August 10, 2026 · model on record in the stance chip above.
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