REVIEW 3 major objections 4 minor 147 references
Cosmic reflections I: the structural diversity of simulated and observed low-mass galaxy analogues
T0 review · 3 major / 4 minor · reviewed 2026-08-15 · deepseek-v4-flash
Pith's one-line read This paper establishes that NEWHORIZON and TNG50 produce dwarf galaxies with structural properties at opposite extremes of observed COSMOS dwarfs, and that neither simulation captures the full diversity of low-mass dwarfs.
desk verdict Solid forward-modeling comparison of dwarf structure in TNG50 vs NewHorizon that makes a useful point about simulation physics, though the sample completeness analysis does not cover the photo-z/mass selection and deserves scrutiny. 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 machinery is a matched synthetic-observation pipeline. Simulated galaxies are built from star particles via stellar-population SEDs, dust attenuation, and PSF convolution, then injected into HSC-SSP COSMOS backgrounds so they experience the same detection, segmentation, sky, and measurement biases as observed galaxies; observed and mock samples are matched in stellar mass and redshift. Structural comparisons then use two families of measures: single-component Sérsic fits (effective radius, surface brightness at the effective radius, Sérsic index, ellipticity) and non-parametric statistics (Gini, $M_{20}$, concentration, asymmetry). A rest-frame control at fixed physical scale separates intrinsic simulation properties from observational smearing. This design is what lets the authors attribute residual disagreements to physics rather than to selection effects or the telescope.
What would settle it
A direct test would be a survey in the same redshift window reaching roughly 32 mag arcsec$^{-2}$ in the $i$ band, with a completeness function measured by injecting real ultra-diffuse galaxies rather than simulation galaxies. Recovered dwarfs at those depths whose structural distribution remains between the two simulated extremes would support the paper; a recovered distribution matching either simulation's extreme would show the COSMOS baseline was incomplete.
Extended reading notes
Core claim
The central discovery claimed is negative in form: neither of the two simulations reproduces the structural range of observed low-mass dwarfs, and the failures are systematic and opposite. In Sérsic terms, NEWHORIZON dwarfs have large effective radii and low Sérsic indices, while TNG50 dwarfs have small effective radii and high Sérsic indices; non-parametric Gini, $M_{20}$, asymmetry, and concentration measurements place NEWHORIZON as clumpy and asymmetric and TNG50 as smooth and overconcentrated. The observed COSMOS dwarfs sit between these extremes, with relatively flat trends of structure with stellar mass, whereas both simulations show stronger mass dependence. The authors rule out their measurement pipeline and the HSC PSF as the cause: rest-frame measurements at fixed physical scale make TNG50's compactness more extreme once PSF smearing is removed, and detection-injection tests show high completeness for the observed sample. They interpret the split as a fingerprint of the sub-grid physics, with NEWHORIZON's bursty, locally coupled supernova feedback evacuating central gas and TNG50's smoother ISM and feedback model concentrating star formation in the center.
Load-bearing premise
Everything rests on treating the COSMOS sample as a fair view of the true dwarf population, but the completeness correction uses mock galaxies from the very simulations whose realism is on trial, so a real population fainter or more diffuse than either simulation could be missing and the conclusion would shift.
Editorial extensions
If this is right
- Below $M_\star\sim10^{9.5}\,M_\odot$, neither simulation's raw structural distributions should be treated as predictions of dwarf morphology; the matched-injection transform is required before comparison.
- The direction of the mismatch is tied to ISM and supernova feedback prescriptions, so dwarf structure can discriminate between such recipes.
- Rest-frame results imply that TNG50 dwarfs are intrinsically too compact and not merely PSF-biased.
- Better agreement at the high-mass end means the discrepancy is specific to the low-mass dwarf regime, where feedback physics is most sensitive.
Reading between the lines
- If the bracketing pattern generalizes, a third simulation with intermediate sub-grid choices should produce dwarfs whose structural distribution falls inside the observed COSMOS cloud; locating that 'Goldilocks' model is a direct target for future simulation comparisons.
- The completeness test, which injects the two simulations' own galaxies, cannot detect a population of real dwarfs that is fainter or more diffuse than both; if such a population exists, the observed COSMOS distribution would be incomplete and the true diversity gap would be even larger than reported.
- The same matched-injection methodology applied to environment-ranked subsamples could separate feedback-driven from environment-driven structural scatter; the paper's own environmental argument suggests this is testable.
- If star-formation burstiness is the culprit, the scatter in structural parameters within each simulation should correlate with the burstiness of individual dwarfs' star-formation histories, a testable prediction the paper gestures toward for its companion analysis.
Signed reviews
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. Using ultra-deep HSC-SSP imaging of the COSMOS field, the authors compare Sérsic and non-parametric structural measurements of 1320 dwarf galaxies (10^7.5 < M*/Msun < 10^9.5, 0.05 < z < 0.25) with redshift- and mass-matched mock observations of dwarfs from the TNG50 and NewHorizon simulations. Synthetic images are produced with SED evolution, dust attenuation, HSC PSF convolution, and injection into real HSC backgrounds, with detection performed consistently for observed and simulated galaxies. The central finding is that NewHorizon and TNG50 lie at opposite extremes of the observed structural trends and that both simulations fail to capture the full diversity of the COSMOS dwarfs at lower masses, with better agreement near 10^9.5 Msun. The paper attributes the differences to distinct ISM and feedback implementations.
Significance. If the conclusions hold, the paper provides a stringent, parameter-free test of two state-of-the-art simulation codes in a mass regime where galaxy formation models remain poorly constrained, and it demonstrates a repeatable forward-modeling pipeline for low-mass galaxy morphology. The strength of the paper is its careful matching of samples, consistent PSF treatment, source injection, and the use of rest-frame checks to separate observational bias from intrinsic differences. The comparison to observations is not fitted to the simulations, so the reported discrepancies are informative for feedback physics. The main residual uncertainties are the completeness of the observed sample and the lack of formal statistical tests, both of which are addressable.
major comments (3)
- [Section 3.3, Figure 2] The completeness analysis tests only whether injected simulated galaxies are recovered by the photutils detection/segmentation on HSC deepCoadd images; it does not propagate the galaxies through the COSMOS2020 LePhare photometric-redshift and stellar-mass selection (criteria i-iii). The statement that completeness is 'expected to be high' and the inference that the COSMOS sample is an unbiased census of dwarfs in the stated mass and redshift range therefore overreach. If real dwarfs are fainter or more diffuse than both simulations, or have noisier photometry yielding larger photo-z errors, they could be preferentially rejected by the redshift and mass cuts even when detected. I request either an injection run that includes the full photo-z/mass selection or a softened statement of the 'full diversity' claim.
- [Section 4] No formal two-sample significance tests are reported anywhere in Section 4. The narrative repeatedly uses 'significant' (e.g., 'significantly larger sizes' in Section 4.1; 'highly significant differences' in Section 5.1.2) without a statistical measure. Because the central claim is that the simulations do not reproduce the observed distribution, the paper should quantify the agreement or disagreement using a test such as a two-dimensional Kolmogorov-Smirnov or energy-distance statistic applied to the mass-matched samples, with bootstrap confidence intervals on the medians and distribution widths.
- [Section 3.1.2] The mock galaxies are drawn from a single snapshot at z approximately 0.2 and then assigned redshifts matching the observed distribution. The authors argue that structural evolution between z=0.25 and 0.05 is small compared with the simulation differences, but no quantitative justification (e.g., a comparison of two snapshots) is given. Since the observed sample spans this full range and the non-parametric metrics are redshift-sensitive, as shown by the rest-frame appendix, a check of structural stability across the snapshot would strengthen the comparison.
minor comments (4)
- [Section 4.2] The variable 'Gsini' should be 'Gini'.
- [Figure 3 caption] The word 'redshft' should be 'redshift'.
- [Appendix A] The passage beginning 'A 256x256 pixel bin third-order sky correction task...' ends with an incomplete sentence: 'objects smaller than this scale...' This fragment should be integrated into the previous sentence.
- [Figure 10] The violin plots would benefit from labeling sample sizes and from adding units to the Reff axis, as is done elsewhere in the paper.
Circularity Check
No significant circularity: the simulations are external inputs, no parameter is fitted to observed morphologies, and the completeness self-injection is a limitation rather than a load-bearing circular step.
full rationale
The paper's central claim is a direct comparison of structural properties measured on HSC-SSP COSMOS dwarfs and on synthetic HSC-like images of NewHorizon and TNG50 galaxies. No simulation parameter is fitted to the observed morphologies: the simulations were produced independently (Section 2.1), and the mock-image pipeline (Section 3.1.2) forwards the simulated stellar populations through dust, redshift, PSF convolution, and injection into real HSC backgrounds. The structural measurements (Sérsic, Gini/M20, CAS) are standard estimators applied identically to observed and simulated images, so the reported differences are not enforced by construction. The one self-referential element is the completeness estimate in Section 3.3, which injects galaxies drawn from the very simulations whose realism is under test into HSC-SSP deepCoadd images and then infers that the COSMOS sample is largely complete because its galaxies lie between the NewHorizon and TNG50 extremes. This is a genuine caveat: if real dwarfs are more diffuse or fainter than both simulations, the completeness calibration would not reveal it, and the 'full diversity' conclusion would be weakened. However, this is a selection-function limitation and a correctness risk, not a circular derivation: the observed structural distributions are measured independently of the simulations, and the rest-frame analysis in Appendix B shows the simulation-observation differences persist without the observational pipeline. Self-citations (e.g., Martin et al. 2022 for the image-generation method, Watkins et al. 2025 for dust and star-formation assumptions) are methodological and are not used to force the central result. Therefore the paper is self-contained in its main comparison and receives a low circularity score.
Assumptions & free parameters
assumptions (4)
- domain assumption The observed COSMOS dwarf sample is complete and representative across the mass and surface-brightness range probed.
- domain assumption A single simulation snapshot at z~0.2, with distances drawn from the observed redshift distribution, adequately represents the z=0.05-0.25 population.
- domain assumption SED modelling choices (Chabrier IMF, BC03 SSPs, gas-to-dust ratio 0.4, MW dust attenuation) do not materially affect recovered structural parameters.
- domain assumption Photometric redshifts and stellar masses from the COSMOS2020 catalogue are accurate enough for sample matching.
Cite this review
Pith. "Pith review of Cosmic reflections I: the structural diversity of simulated and observed low-mass galaxy analogues." pith.science (2026). https://pith.science/paper/H67KSL6O
@misc{pith2026250504509,
author = {Pith},
title = {Pith review of: Cosmic reflections I: the structural diversity of simulated and observed low-mass galaxy analogues},
year = {2026},
howpublished = {\url{https://pith.science/paper/H67KSL6O}},
note = {Machine review of arXiv:2505.04509}
}
abstract
Dwarf galaxies serve as powerful laboratories for investigating the underlying physics of galaxy evolution including the impact of baryonic feedback processes and environmental influences. We compare the visual and structural properties of dwarf galaxies in ultra-deep HSC-SSP imaging of the COSMOS field with those measured from realistic HSC-like synthetic observations of dwarfs generated by the Illustris TNG50 and NewHorizon simulations. Using S\'ersic profile fitting and non-parametric morphological metrics (Gini, $M_{20}$, asymmetry, and concentration), we evaluate the diversity of structural properties in observed and simulated galaxies. Our analysis shows that NewHorizon and TNG50 galaxies lie at opposite extremes of observed structural trends: NewHorizon produces diffuse, extended galaxies with shallow S\'ersic indices, while TNG50 yields compact, concentrated systems with steep indices. Both simulations reproduce observed structural trends more closely at higher stellar masses ($M_{\star}\sim10^{9.5} {\rm M_{\odot}}$) but fail to capture the full diversity of COSMOS dwarfs at lower masses. Non-parametric metrics further show that NewHorizon galaxies exhibit more uneven, clumpy light distributions while TNG50 galaxies have smoother but excessively concentrated profiles. These structural differences reflect underlying differences in their physical prescriptions and are likely driven by differing approaches to ISM physics, supernova feedback and star formation in addition to differences in numerical resolution. Our findings highlight the unique power of low-mass galaxies to constrain differences in simulation physics, especially star formation and feedback. Upcoming surveys from facilities like the Vera C. Rubin Observatory and Euclid will enable more rigorous comparisons with simulations, offering deeper insights into the physical processes shaping galaxy evolution.
Figures
Figures from the paper (4 more)
Reference graph
Works this paper leans on
-
[1]
write newline
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-
[2]
Aihara H., et al., 2018, @doi [ ] 10.1093/pasj/psx066 , https://ui.adsabs.harvard.edu/abs/2018PASJ...70S...4A 70, S4
-
[3]
Aihara H., et al., 2022, @doi [ ] 10.1093/pasj/psab122 , https://ui.adsabs.harvard.edu/abs/2022PASJ...74..247A 74, 247
-
[4]
Arnouts S., Ilbert O., 2011, LePHARE: Photometric Analysis for Redshift Estimate ( @eprint ascl 1108.009 )
2011
-
[5]
Arnouts S., Cristiani S., Moscardini L., Matarrese S., Lucchin F., Fontana A., Giallongo E., 1999, @doi [ ] 10.1046/j.1365-8711.1999.02978.x , https://ui.adsabs.harvard.edu/abs/1999MNRAS.310..540A 310, 540
arXiv 1999
-
[6]
Atek H., et al., 2014, @doi [ ] 10.1088/0004-637X/789/2/96 , https://ui.adsabs.harvard.edu/abs/2014ApJ...789...96A 789, 96
-
[7]
Aubert D., Pichon C., Colombi S., 2004, @doi [ ] 10.1111/j.1365-2966.2004.07883.x , http://adsabs.harvard.edu/abs/2004MNRAS.352..376A 352, 376
arXiv 2004
-
[8]
Azartash-Namin B., et al., 2024, @doi [ ] 10.3847/1538-4357/ad49a5 , https://ui.adsabs.harvard.edu/abs/2024ApJ...970...40A 970, 40
Show all 147 references
-
[10]
Bertin E., Arnouts S., 1996, @doi [ ] 10.1051/aas:1996164 , https://ui.adsabs.harvard.edu/abs/1996A&AS..117..393B 117, 393
1996 doi
-
[11]
R., Lupton R
Blanton M. R., Lupton R. H., Schlegel D. J., Strauss M. A., Brinkmann J., Fukugita M., Loveday J., 2005, @doi [ ] 10.1086/431416 , http://adsabs.harvard.edu/abs/2005ApJ...631..208B 631, 208
2005 doi
-
[12]
Bluck A. F. L., Mendel J. T., Ellison S. L., Moreno J., Simard L., Patton D. R., Starkenburg E., 2014, @doi [ ] 10.1093/mnras/stu594 , http://adsabs.harvard.edu/abs/2014MNRAS.441..599B 441, 599
2014 doi
-
[13]
S., et al., 2021, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2021arXiv210810321B p
Borlaff A. S., et al., 2021, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2021arXiv210810321B p. arXiv:2108.10321
2021 arXiv
-
[14]
Bosch J., et al., 2018, @doi [ ] 10.1093/pasj/psx080 , https://ui.adsabs.harvard.edu/abs/2018PASJ...70S...5B 70, S5
2018 doi
-
[15]
D., Impey C
Bothun G. D., Impey C. D., Malin D. F., Mould J. R., 1987, @doi [ ] 10.1086/114443 , https://ui.adsabs.harvard.edu/#abs/1987AJ.....94...23B 94, 23
1987 doi
-
[16]
Bradley L., et al., 2022, astropy/photutils: 1.5.0, @doi 10.5281/zenodo.6825092 , https://doi.org/10.5281/zenodo.6825092
2022 doi
-
[18]
S., Boylan-Kolchin M., 2017, @doi [ ] 10.1146/annurev-astro-091916-055313 , https://ui.adsabs.harvard.edu/abs/2017ARA&A..55..343B 55, 343
Bullock J. S., Boylan-Kolchin M., 2017, @doi [ ] 10.1146/annurev-astro-091916-055313 , https://ui.adsabs.harvard.edu/abs/2017ARA&A..55..343B 55, 343
2017 doi
-
[19]
S., Conselice C
Bundy K., Ellis R. S., Conselice C. J., 2005, @doi [ ] 10.1086/429549 , http://adsabs.harvard.edu/abs/2005ApJ...625..621B 625, 621
2005 doi
- [20]
-
[21]
arXiv:2007.04624
Chabanier S., et al., 2020, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2020arXiv200704624C p. arXiv:2007.04624
2020 arXiv
-
[22]
Chabrier G., 2003, @doi [Publications of the Astronomical Society of the Pacific] 10.1086/376392 , https://ui.adsabs.harvard.edu/#abs/2003PASP..115..763C 115, 763
2003 doi
-
[23]
J., 2006, @doi [ ] 10.1111/j.1365-2966.2006.11114.x , http://adsabs.harvard.edu/abs/2006MNRAS.373.1389C 373, 1389
Conselice C. J., 2006, @doi [ ] 10.1111/j.1365-2966.2006.11114.x , http://adsabs.harvard.edu/abs/2006MNRAS.373.1389C 373, 1389
2006
-
[24]
J., Bershady M
Conselice C. J., Bershady M. A., Dickinson M., Papovich C., 2003, @doi [ ] 10.1086/377318 , https://ui.adsabs.harvard.edu/abs/2003AJ....126.1183C 126, 1183
2003 doi
-
[26]
J., Spergel D
Dalcanton J. J., Spergel D. N., Gunn J. E., Schmidt M., Schneider D. P., 1997, @doi [ ] 10.1086/118499 , https://ui.adsabs.harvard.edu/#abs/1997AJ....114..635D 114, 635
1997 doi
-
[27]
A., 1972, @doi [ ] 10.1146/annurev.aa.10.090172.002111 , https://ui.adsabs.harvard.edu/abs/1972ARA&A..10..375D 10, 375
Dalgarno A., McCray R. A., 1972, @doi [ ] 10.1146/annurev.aa.10.090172.002111 , https://ui.adsabs.harvard.edu/abs/1972ARA&A..10..375D 10, 375
1972
-
[28]
Davis F., et al., 2022, @doi [ ] 10.1093/mnras/stac068 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.511.4109D 511, 4109
2022 doi
-
[29]
P., Mamon G
De Almeida A. P., Mamon G. A., Dekel A., Lima Neto G. B., 2024, @doi [ ] 10.1051/0004-6361/202449939 , https://ui.adsabs.harvard.edu/abs/2024A&A...687A.131D 687, A131
2024 doi
-
[30]
Dekel A., Silk J., 1986, @doi [ ] 10.1086/164050 , https://ui.adsabs.harvard.edu/abs/1986ApJ...303...39D 303, 39
1986 doi
-
[31]
B., Dutton A
Di Cintio A., Brook C. B., Dutton A. A., Macci \`o A. V., Obreja A., Dekel A., 2017, @doi [ ] 10.1093/mnrasl/slw210 , https://ui.adsabs.harvard.edu/#abs/2017MNRAS.466L...1D 466, L1
2017 doi
-
[32]
J., 1976, @doi [ ] 10.1038/263573a0 , https://ui.adsabs.harvard.edu/#abs/1976Natur.263..573D 263, 573
Disney M. J., 1976, @doi [ ] 10.1038/263573a0 , https://ui.adsabs.harvard.edu/#abs/1976Natur.263..573D 263, 573
1976 doi
-
[33]
T., et al., 2007, @doi [ ] 10.1086/518306 , https://ui.adsabs.harvard.edu/#abs/2007ApJ...663..866D 663, 866
Draine B. T., et al., 2007, @doi [ ] 10.1086/518306 , https://ui.adsabs.harvard.edu/#abs/2007ApJ...663..866D 663, 866
2007 doi
-
[34]
Dressler A., 1980, @doi [ ] 10.1086/157753 , http://adsabs.harvard.edu/abs/1980ApJ...236..351D 236, 351
1980 doi
-
[35]
Dressler A., et al., 1997, @doi [ ] 10.1086/304890 , http://adsabs.harvard.edu/abs/1997ApJ...490..577D 490, 577
1997 doi
-
[36]
P., Liske J., Cross N
Driver S. P., Liske J., Cross N. J. G., De Propris R., Allen P. D., 2005, @doi [ ] 10.1111/j.1365-2966.2005.08990.x , https://ui.adsabs.harvard.edu/#abs/2005MNRAS.360...81D 360, 81
2005
-
[37]
Dubois Y., et al., 2014, @doi [ ] 10.1093/mnras/stu1227 , http://adsabs.harvard.edu/abs/2014MNRAS.444.1453D 444, 1453
2014 doi
-
[38]
Dubois Y., Volonteri M., Silk J., Devriendt J., Slyz A., Teyssier R., 2015, @doi [ ] 10.1093/mnras/stv1416 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.452.1502D 452, 1502
2015 doi
-
[39]
Dubois Y., et al., 2021, @doi [ ] 10.1051/0004-6361/202039429 , https://ui.adsabs.harvard.edu/abs/2021A&A...651A.109D 651, A109
2021 doi
-
[40]
Eisert L., Bottrell C., Pillepich A., Shimakawa R., Rodriguez-Gomez V., Nelson D., Angeloudi E., Huertas-Company M., 2024, @doi [ ] 10.1093/mnras/stae481 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.528.7411E 528, 7411
2024 doi
-
[41]
arXiv:2405.13491
Euclid Collaboration et al., 2024, @doi [arXiv e-prints] 10.48550/arXiv.2405.13491 , https://ui.adsabs.harvard.edu/abs/2024arXiv240513491E p. arXiv:2405.13491
2024 doi
-
[42]
Fakhouri O., Ma C.-P., Boylan-Kolchin M., 2010, @doi [ ] 10.1111/j.1365-2966.2010.16859.x , https://ui.adsabs.harvard.edu/abs/2010MNRAS.406.2267F 406, 2267
2010
-
[43]
Faucher-Gigu \`e re C.-A., Lidz A., Zaldarriaga M., Hernquist L., 2009, @doi [ ] 10.1088/0004-637X/703/2/1416 , https://ui.adsabs.harvard.edu/abs/2009ApJ...703.1416F 703, 1416
2009 doi
-
[44]
Feldmann R., et al., 2023, @doi [ ] 10.1093/mnras/stad1205 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.522.3831F 522, 3831
2023 doi
-
[45]
P., et al., 2006, @doi [ ] 10.1007/s11214-006-8315-7 , http://adsabs.harvard.edu/abs/2006SSRv..123..485G 123, 485
Gardner J. P., et al., 2006, @doi [ ] 10.1007/s11214-006-8315-7 , http://adsabs.harvard.edu/abs/2006SSRv..123..485G 123, 485
2006 doi
-
[46]
Geha M., et al., 2013, @doi [ ] 10.1088/0004-637X/771/1/29 , https://ui.adsabs.harvard.edu/abs/2013ApJ...771...29G 771, 29
2013 doi
-
[47]
S., Krumholz M
Gentry E. S., Krumholz M. R., Madau P., Lupi A., 2019, @doi [ ] 10.1093/mnras/sty3319 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.483.3647G 483, 3647
2019 doi
-
[48]
J., 1962, Journal of the American Statistical Association, 57, 648
Glasser G. J., 1962, Journal of the American Statistical Association, 57, 648
1962
-
[49]
P., 2018, PhD thesis, Princeton University, New Jersey
Greco J. P., 2018, PhD thesis, Princeton University, New Jersey
2018
-
[50]
E., et al., 2022, @doi [ ] 10.3847/1538-4357/ac7238 , https://ui.adsabs.harvard.edu/abs/2022ApJ...933..150G 933, 150
Greene J. E., et al., 2022, @doi [ ] 10.3847/1538-4357/ac7238 , https://ui.adsabs.harvard.edu/abs/2022ApJ...933..150G 933, 150
2022 doi
-
[51]
Guedes J., Callegari S., Madau P., Mayer L., 2011, @doi [ ] 10.1088/0004-637X/742/2/76 , https://ui.adsabs.harvard.edu/abs/2011ApJ...742...76G 742, 76
2011 doi
-
[52]
Guo Y., et al., 2016, @doi [ ] 10.3847/1538-4357/833/1/37 , https://ui.adsabs.harvard.edu/abs/2016ApJ...833...37G 833, 37
2016 doi
-
[53]
F., Chamberlain K., Hernquist L., 2023, @doi [ ] 10.1093/mnras/stac3334 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.519.4920G 519, 4920
Guzm \'a n-Ortega A., Rodriguez-Gomez V., Snyder G. F., Chamberlain K., Hernquist L., 2023, @doi [ ] 10.1093/mnras/stac3334 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.519.4920G 519, 4920
2023 doi
-
[54]
Haardt F., Madau P., 1996, @doi [ ] 10.1086/177035 , http://adsabs.harvard.edu/abs/1996ApJ...461...20H 461, 20
1996 doi
-
[55]
Hagen L. M. Z., et al., 2016, @doi [ ] 10.3847/0004-637X/826/2/210 , https://ui.adsabs.harvard.edu/#abs/2016ApJ...826..210H 826, 210
2016 doi
-
[56]
W., et al., 2002, @doi [ ] 10.1086/341392 , http://adsabs.harvard.edu/abs/2002AJ....124..646H 124, 646
Hogg D. W., et al., 2002, @doi [ ] 10.1086/341392 , http://adsabs.harvard.edu/abs/2002AJ....124..646H 124, 646
2002 doi
-
[57]
W., et al., 2019, @doi [ ] 10.3847/1538-3881/ab2886 , https://ui.adsabs.harvard.edu/abs/2019AJ....158..103H 158, 103
Holwerda B. W., et al., 2019, @doi [ ] 10.3847/1538-3881/ab2886 , https://ui.adsabs.harvard.edu/abs/2019AJ....158..103H 158, 103
2019 doi
-
[58]
F., Kere s D., O \ n orbe J., Faucher-Gigu \`e re C.-A., Quataert E., Murray N., Bullock J
Hopkins P. F., Kere s D., O \ n orbe J., Faucher-Gigu \`e re C.-A., Quataert E., Murray N., Bullock J. S., 2014, @doi [ ] 10.1093/mnras/stu1738 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.445..581H 445, 581
2014 doi
-
[59]
A., et al., 2013, @doi [ ] 10.1038/nature11717 , https://ui.adsabs.harvard.edu/abs/2013Natur.493...62I 493, 62
Ibata R. A., et al., 2013, @doi [ ] 10.1038/nature11717 , https://ui.adsabs.harvard.edu/abs/2013Natur.493...62I 493, 62
2013 doi
-
[60]
Ilbert O., et al., 2006, @doi [ ] 10.1051/0004-6361:20065138 , https://ui.adsabs.harvard.edu/abs/2006A&A...457..841I 457, 841
2006 doi
-
[61]
Ivezi \'c Z ., et al., 2019, @doi [ ] 10.3847/1538-4357/ab042c , https://ui.adsabs.harvard.edu/abs/2019ApJ...873..111I 873, 111
2019 doi
-
[62]
A., et al., 2021, @doi [ ] 10.1093/mnras/stab077 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.502.4262J 502, 4262
Jackson R. A., et al., 2021, @doi [ ] 10.1093/mnras/stab077 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.502.4262J 502, 4262
2021 doi
-
[63]
K., et al., 2023, @doi [ ] 10.3847/1538-4357/accd68 , https://ui.adsabs.harvard.edu/abs/2023ApJ...950....4J 950, 4
Jang J. K., et al., 2023, @doi [ ] 10.3847/1538-4357/accd68 , https://ui.adsabs.harvard.edu/abs/2023ApJ...950....4J 950, 4
2023 doi
-
[64]
Kartaltepe J., Rose C., Vanderhoof B., Ceers Collaboration 2023, in American Astronomical Society Meeting Abstracts. p. 102.01
2023
-
[65]
H., 1992, @doi [ ] 10.1086/186619 , https://ui.adsabs.harvard.edu/abs/1992ApJ...399L.109K 399, L109
Katz N., Hernquist L., Weinberg D. H., 1992, @doi [ ] 10.1086/186619 , https://ui.adsabs.harvard.edu/abs/1992ApJ...399L.109K 399, L109
1992 doi
-
[66]
Kaviraj S., 2014, @doi [ ] 10.1093/mnras/stu338 , http://adsabs.harvard.edu/abs/2014MNRAS.440.2944K 440, 2944
2014 doi
-
[67]
Kaviraj S., et al., 2017, @doi [ ] 10.1093/mnras/stx126 , http://adsabs.harvard.edu/abs/2017MNRAS.467.4739K 467, 4739
2017 doi
-
[68]
Kaviraj S., Martin G., Silk J., 2019, @doi [ ] 10.1093/mnrasl/slz102 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.489L..12K 489, L12
2019 doi
-
[69]
E., Laigle C., Martin G., Jackson R
Kaviraj S., Lazar I., Watkins A. E., Laigle C., Martin G., Jackson R. A., 2025, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2025arXiv250202656K p. arXiv:2502.02656
2025 arXiv
-
[70]
Kawanomoto S., et al., 2018, @doi [ ] 10.1093/pasj/psy056 , https://ui.adsabs.harvard.edu/abs/2018PASJ...70...66K 70, 66
2018 doi
-
[71]
C., Raileanu R., 2017, @doi [ ] 10.3847/1538-4357/834/1/25 , https://ui.adsabs.harvard.edu/abs/2017ApJ...834...25K 834, 25
Kim C.-G., Ostriker E. C., Raileanu R., 2017, @doi [ ] 10.3847/1538-4357/834/1/25 , https://ui.adsabs.harvard.edu/abs/2017ApJ...834...25K 834, 25
2017 doi
- [72]
-
[73]
Kimm T., Cen R., 2014, @doi [ ] 10.1088/0004-637X/788/2/121 , https://ui.adsabs.harvard.edu/abs/2014ApJ...788..121K 788, 121
2014 doi
-
[74]
Kimm T., Cen R., Devriendt J., Dubois Y., Slyz A., 2015, @doi [ ] 10.1093/mnras/stv1211 , http://adsabs.harvard.edu/abs/2015MNRAS.451.2900K 451, 2900
2015 doi
-
[75]
Kimm T., Katz H., Haehnelt M., Rosdahl J., Devriendt J., Slyz A., 2017, @doi [ ] 10.1093/mnras/stx052 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.466.4826K 466, 4826
2017 doi
-
[76]
Y., Grebel E
Kniazev A. Y., Grebel E. K., Pustilnik S. A., Pramskij A. G., Kniazeva T. F., Prada F., Harbeck D., 2004, @doi [ ] 10.1086/381061 , https://ui.adsabs.harvard.edu/#abs/2004AJ....127..704K 127, 704
2004 doi
-
[77]
Komatsu E., et al., 2011, @doi [ ] 10.1088/0067-0049/192/2/18 , http://adsabs.harvard.edu/abs/2011ApJS..192...18K 192, 18
2011 doi
-
[78]
A., Sijacki D., 2021, @doi [ ] 10.1093/mnras/stab677 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.503.3568K 503, 3568
Koudmani S., Henden N. A., Sijacki D., 2021, @doi [ ] 10.1093/mnras/stab677 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.503.3568K 503, 3568
2021 doi
-
[79]
Laureijs R., et al., 2011, preprint, http://adsabs.harvard.edu/abs/2011arXiv1110.3193L ( @eprint arXiv 1110.3193 )
2011 arXiv
-
[80]
E., Martin G., Bichang'a B., Jackson R
Lazar I., Kaviraj S., Watkins A. E., Martin G., Bichang'a B., Jackson R. A., 2024a, @doi [ ] 10.1093/mnras/stae510 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.529..499L 529, 499
-
[81]
E., Martin G., Bichang'a B., Jackson R
Lazar I., Kaviraj S., Watkins A. E., Martin G., Bichang'a B., Jackson R. A., 2024b, @doi [ ] 10.1093/mnras/stae1956 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.533.3771L 533, 3771
-
[82]
M., Primack J., Madau P., 2004, @doi [ ] 10.1086/421849 , https://ui.adsabs.harvard.edu/abs/2004AJ....128..163L 128, 163
Lotz J. M., Primack J., Madau P., 2004, @doi [ ] 10.1086/421849 , https://ui.adsabs.harvard.edu/abs/2004AJ....128..163L 128, 163
2004 doi
-
[83]
G., Farcy M., Dubois Y., Belokurov V., Rosdahl J., Lopez-Rodriguez E., 2023, @doi [Monthly Notices of the Royal Astronomical Society] 10.1093/mnras/stad2559 , 525, 3806
Martin-Alvarez S., Sijacki D., Haehnelt M. G., Farcy M., Dubois Y., Belokurov V., Rosdahl J., Lopez-Rodriguez E., 2023, @doi [Monthly Notices of the Royal Astronomical Society] 10.1093/mnras/stad2559 , 525, 3806
2023 doi
-
[84]
Martin G., Kaviraj S., Devriendt J. E. G., Dubois Y., Pichon C., 2018, @doi [ ] 10.1093/mnras/sty1936 , https://ui.adsabs.harvard.edu/#abs/2018MNRAS.tmp.1855M p. 1855
2018 doi
-
[85]
Martin G., et al., 2019, @doi [ ] 10.1093/mnras/stz356 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.485..796M 485, 796
2019 doi
-
[86]
Martin G., et al., 2021, @doi [ ] 10.1093/mnras/staa3443 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.500.4937M 500, 4937
2021 doi
-
[87]
Martin G., et al., 2022, @doi [ ] 10.1093/mnras/stac1003 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.513.1459M 513, 1459
2022 doi
-
[88]
R., Hatch N
Martin G., Pearce F. R., Hatch N. A., Contreras-Santos A., Knebe A., Cui W., 2024, @doi [ ] 10.1093/mnras/stae2488 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.535.2375M 535, 2375
2024 doi
-
[89]
Mart \' nez-Delgado D., et al., 2016, @doi [ ] 10.3847/0004-6256/151/4/96 , http://ukads.nottingham.ac.uk/abs/2016AJ....151...96M 151, 96
2016 doi
- [90]
-
[91]
Miyoshi T., Kusano K., 2005, @doi [Journal of Computational Physics] 10.1016/j.jcp.2005.02.017 , https://ui.adsabs.harvard.edu/abs/2005JCoPh.208..315M 208, 315
2005 doi
-
[92]
S., Santucci G., 2021, @doi [ ] 10.3847/1538-4357/abddb6 , https://ui.adsabs.harvard.edu/abs/2021ApJ...910...45M 910, 45
Montes M., Brough S., Owers M. S., Santucci G., 2021, @doi [ ] 10.3847/1538-4357/abddb6 , https://ui.adsabs.harvard.edu/abs/2021ApJ...910...45M 910, 45
2021 doi
-
[93]
Nelson D., et al., 2019, @doi [ ] 10.1093/mnras/stz2306 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.490.3234N 490, 3234
2019 doi
-
[94]
S., Seppala L., Gilmore K., 2008, in
Olivier S. S., Seppala L., Gilmore K., 2008, in . p. 70182G, @doi 10.1117/12.790264
2008 doi
-
[95]
Pakmor R., Bauer A., Springel V., 2011, @doi [ ] 10.1111/j.1365-2966.2011.19591.x , https://ui.adsabs.harvard.edu/abs/2011MNRAS.418.1392P 418, 1392
2011
-
[96]
J., Ohlmann S
Pakmor R., Springel V., Bauer A., Mocz P., Munoz D. J., Ohlmann S. T., Schaal K., Zhu C., 2016, @doi [ ] 10.1093/mnras/stv2380 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.455.1134P 455, 1134
2016 doi
-
[97]
Peirani S., et al., 2024, @doi [ ] 10.1051/0004-6361/202349101 , https://ui.adsabs.harvard.edu/abs/2024A&A...686A.233P 686, A233
2024 doi
-
[98]
Pillepich A., et al., 2018, @doi [ ] 10.1093/mnras/stx3112 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.475..648P 475, 648
2018 doi
-
[99]
Pillepich A., et al., 2019, @doi [ ] 10.1093/mnras/stz2338 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.490.3196P 490, 3196
2019 doi
-
[100]
Planck Collaboration et al., 2016, @doi [ ] 10.1051/0004-6361/201525830 , https://ui.adsabs.harvard.edu/abs/2016A&A...594A..13P 594, A13
2016 doi
-
[101]
Pozzetti L., et al., 2007, @doi [ ] 10.1051/0004-6361:20077609 , https://ui.adsabs.harvard.edu/abs/2007A&A...474..443P 474, 443
2007 doi
-
[102]
C., et al., 2017, @doi [ ] 10.3847/1538-4357/aa8560 , https://ui.adsabs.harvard.edu/abs/2017ApJ...846...74P 846, 74
Privon G. C., et al., 2017, @doi [ ] 10.3847/1538-4357/aa8560 , https://ui.adsabs.harvard.edu/abs/2017ApJ...846...74P 846, 74
2017 doi
-
[103]
J., van der Burg R
Prole D. J., van der Burg R. F. J., Hilker M., Spitler L. R., 2021, @doi [ ] 10.1093/mnras/staa3296 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.500.2049P 500, 2049
2021 doi
-
[104]
E., Greene J
Reines A. E., Greene J. E., Geha M., 2013, @doi [ ] 10.1088/0004-637X/775/2/116 , https://ui.adsabs.harvard.edu/abs/2013ApJ...775..116R 775, 116
2013 doi
-
[105]
Rodriguez-Gomez V., et al., 2019, @doi [ ] 10.1093/mnras/sty3345 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.483.4140R 483, 4140
2019 doi
-
[106]
A., Ruiz-Lara T., Valls-Gabaud D., 2019, @doi [ ] 10.1093/mnras/stz835 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.486..823R 486, 823
Rom \'a n J., Beasley M. A., Ruiz-Lara T., Valls-Gabaud D., 2019, @doi [ ] 10.1093/mnras/stz835 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.486..823R 486, 823
2019 doi
-
[107]
Rom \'a n J., Trujillo I., Montes M., 2020, @doi [ ] 10.1051/0004-6361/201936111 , https://ui.adsabs.harvard.edu/abs/2020A&A...644A..42R 644, A42
2020 doi
-
[108]
B., Agertz O., Renaud F., 2020, @doi [ ] 10.1093/mnras/staa3245 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.499.5656R 499, 5656
Romeo A. B., Agertz O., Renaud F., 2020, @doi [ ] 10.1093/mnras/staa3245 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.499.5656R 499, 5656
2020 doi
-
[109]
Rosdahl J., Blaizot J., 2012, @doi [ ] 10.1111/j.1365-2966.2012.20883.x , https://ui.adsabs.harvard.edu/abs/2012MNRAS.423..344R 423, 344
2012
-
[110]
E., 1955, @doi [ ] 10.1086/145971 , https://ui.adsabs.harvard.edu/abs/1955ApJ...121..161S 121, 161
Salpeter E. E., 1955, @doi [ ] 10.1086/145971 , https://ui.adsabs.harvard.edu/abs/1955ApJ...121..161S 121, 161
1955 doi
-
[111]
Sazonova E., et al., 2020, @doi [ ] 10.3847/1538-4357/aba42f , https://ui.adsabs.harvard.edu/abs/2020ApJ...899...85S 899, 85
2020 doi
-
[112]
Sazonova E., et al., 2024, @doi [The Open Journal of Astrophysics] 10.33232/001c.123524 , 7
2024 doi
-
[113]
Scoville N., et al., 2007, @doi [ ] 10.1086/516585 , https://ui.adsabs.harvard.edu/abs/2007ApJS..172....1S 172, 1
2007 doi
-
[114]
Searle L., Sargent W. L. W., Bagnuolo W. G., 1973, @doi [ ] 10.1086/151882 , https://ui.adsabs.harvard.edu/abs/1973ApJ...179..427S 179, 427
1973 doi
-
[115]
B., 2022, @doi [ ] 10.1093/mnras/stac1719 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.514.5853S 514, 5853
Seo M., Ann H. B., 2022, @doi [ ] 10.1093/mnras/stac1719 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.514.5853S 514, 5853
2022 doi
-
[116]
L., 1968, Atlas de Galaxias Australes
S\' e rsic J. L., 1968, Atlas de Galaxias Australes
1968
-
[118]
Smith B., Sigurdsson S., Abel T., 2008, @doi [ ] 10.1111/j.1365-2966.2008.12922.x , https://ui.adsabs.harvard.edu/abs/2008MNRAS.385.1443S 385, 1443
2008
-
[120]
Springel V., Hernquist L., 2003, @doi [ ] 10.1046/j.1365-8711.2003.06206.x , https://ui.adsabs.harvard.edu/abs/2003MNRAS.339..289S 339, 289
2003
-
[121]
Springel V., White S. D. M., Tormen G., Kauffmann G., 2001, @doi [ ] 10.1046/j.1365-8711.2001.04912.x , https://ui.adsabs.harvard.edu/abs/2001MNRAS.328..726S 328, 726
2001
-
[122]
Strateva I., et al., 2001, @doi [ ] 10.1086/323301 , http://adsabs.harvard.edu/abs/2001AJ....122.1861S 122, 1861
2001 doi
-
[123]
H., et al., 2021, @doi [ ] 10.1051/0004-6361/202039633 , https://ui.adsabs.harvard.edu/abs/2021A&A...647A.100S 647, A100
Su A. H., et al., 2021, @doi [ ] 10.1051/0004-6361/202039633 , https://ui.adsabs.harvard.edu/abs/2021A&A...647A.100S 647, A100
2021 doi
-
[124]
S., Dopita M
Sutherland R. S., Dopita M. A., 1993, @doi [ ] 10.1086/191823 , http://adsabs.harvard.edu/abs/1993ApJS...88..253S 88, 253
1993 doi
-
[125]
S., Connolly A
Szalay A. S., Connolly A. J., Szokoly G. P., 1999, @doi [ ] 10.1086/300689 , https://ui.adsabs.harvard.edu/abs/1999AJ....117...68S 117, 68
1999 doi
-
[126]
Teyssier R., 2002, @doi [ ] 10.1051/0004-6361:20011817 , http://adsabs.harvard.edu/abs/2002A
2002 doi
-
[127]
T., Steinmetz M., 1998, @doi [ ] 10.1086/305704 , https://ui.adsabs.harvard.edu/abs/1998ApJ...500...95T 500, 95
Thornton K., Gaudlitz M., Janka H. T., Steinmetz M., 1998, @doi [ ] 10.1086/305704 , https://ui.adsabs.harvard.edu/abs/1998ApJ...500...95T 500, 95
1998 doi
-
[128]
Springer-Verlag
Toro E., 1999, Riemann Solvers and Numerical Methods for Fluid Dynamics . Springer-Verlag
1999
-
[129]
Trebitsch M., Blaizot J., Rosdahl J., Devriendt J., Slyz A., 2017, @doi [ ] 10.1093/mnras/stx1060 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.470..224T 470, 224
2017 doi
-
[130]
Trebitsch M., Volonteri M., Dubois Y., 2020, @doi [ ] 10.1093/mnras/staa1012 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.494.3453T 494, 3453
2020 doi
-
[131]
R., Pontzen A., Anderson L., Bellovary J., 2017, @doi [ ] 10.1093/mnras/stx1160 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.470.1121T 470, 1121
Tremmel M., Karcher M., Governato F., Volonteri M., Quinn T. R., Pontzen A., Anderson L., Bellovary J., 2017, @doi [ ] 10.1093/mnras/stx1160 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.470.1121T 470, 1121
2017 doi
-
[132]
E., Kaviraj S., 2020, @doi [ ] 10.1093/mnras/staa2651 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.498.4021U 498, 4021
Uzeirbegovic E., Geach J. E., Kaviraj S., 2020, @doi [ ] 10.1093/mnras/staa2651 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.498.4021U 498, 4021
2020 doi
-
[133]
Uzeirbegovic E., Martin G., Kaviraj S., 2022, @doi [ ] 10.1093/mnras/stab3715 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.510.3849U 510, 3849
2022 doi
-
[134]
Uzeirbegovic E., et al., 2024, @doi [ ] 10.1093/mnras/stae2632 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.535.3775U 535, 3775
2024 doi
-
[135]
M., Oppenheimer B
Voit G. M., Oppenheimer B. D., Bell E. F., Terrazas B., Donahue M., 2024, @doi [ ] 10.3847/1538-4357/ad0039 , https://ui.adsabs.harvard.edu/abs/2024ApJ...960...28V 960, 28
2024 doi
-
[136]
J., 2023, @doi [ ] 10.3847/1538-4357/acecfd , https://ui.adsabs.harvard.edu/abs/2023ApJ...955...55W 955, 55
Wang E., Lilly S. J., 2023, @doi [ ] 10.3847/1538-4357/acecfd , https://ui.adsabs.harvard.edu/abs/2023ApJ...955...55W 955, 55
2023 doi
-
[137]
E., et al., 2022, @doi [ ] 10.1051/0004-6361/202142627 , https://ui.adsabs.harvard.edu/abs/2022A&A...660A..69W 660, A69
Watkins A. E., et al., 2022, @doi [ ] 10.1051/0004-6361/202142627 , https://ui.adsabs.harvard.edu/abs/2022A&A...660A..69W 660, A69
2022 doi
-
[138]
E., Salo H., Kaviraj S., Collins C
Watkins A. E., Salo H., Kaviraj S., Collins C. A., Knapen J. H., Venhola A., Rom \'a n J., 2023, @doi [ ] 10.1093/mnras/stad654 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.521.2012W 521, 2012
2023 doi
-
[139]
E., Kaviraj S., Collins C
Watkins A. E., Kaviraj S., Collins C. C., Knapen J. H., Kelvin L. S., Duc P.-A., Rom \'a n J., Mihos J. C., 2024, @doi [ ] 10.1093/mnras/stae236 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.528.4289W 528, 4289
2024 doi
-
[140]
K., 2025, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2025arXiv250202632W p
Watkins A., Martin G., Kaviraj S., Collins C., Dubois Y., Kraljic K., Pichon C., Yi S. K., 2025, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2025arXiv250202632W p. arXiv:2502.02632
2025 arXiv
-
[141]
R., et al., 2022, @doi [ ] 10.3847/1538-4365/ac3078 , https://ui.adsabs.harvard.edu/abs/2022ApJS..258...11W 258, 11
Weaver J. R., et al., 2022, @doi [ ] 10.3847/1538-4365/ac3078 , https://ui.adsabs.harvard.edu/abs/2022ApJS..258...11W 258, 11
2022 doi
-
[142]
198: Near-fields cosmology with dwarf elliptical galaxies
Weidner C., Kroupa P., 2005, in Jerjen H., Binggeli B., eds, IAU Colloq. 198: Near-fields cosmology with dwarf elliptical galaxies. pp 130--133, @doi 10.1017/S1743921305003625
2005 doi
-
[143]
Weinberger R., et al., 2017, @doi [ ] 10.1093/mnras/stw2944 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.465.3291W 465, 3291
2017 doi
-
[144]
C., Draine B
Weingartner J. C., Draine B. T., 2001, @doi [ ] 10.1086/318651 , https://ui.adsabs.harvard.edu/abs/2001ApJ...548..296W 548, 296
2001 doi
-
[145]
R., Hopkins P
Wetzel A. R., Hopkins P. F., Kim J.-h., Faucher-Gigu \`e re C.-A., Kere s D., Quataert E., 2016, @doi [ ] 10.3847/2041-8205/827/2/L23 , https://ui.adsabs.harvard.edu/abs/2016ApJ...827L..23W 827, L23
2016 doi
-
[146]
E., et al., 2015, @doi [ ] 10.1088/2041-8205/811/1/L12 , http://adsabs.harvard.edu/abs/2015ApJ...811L..12W 811, L12
Whitaker K. E., et al., 2015, @doi [ ] 10.1088/2041-8205/811/1/L12 , http://adsabs.harvard.edu/abs/2015ApJ...811L..12W 811, L12
2015 doi
-
[147]
Wiersma R. P. C., Schaye J., Theuns T., Dalla Vecchia C., Tornatore L., 2009, @doi [ ] 10.1111/j.1365-2966.2009.15331.x , https://ui.adsabs.harvard.edu/abs/2009MNRAS.399..574W 399, 574
2009
-
[148]
C., et al., 2021, PANORAMIC - A Pure Parallel Wide Area Legacy Imaging Survey at 1-5 Micron , JWST Proposal
Williams C. C., et al., 2021, PANORAMIC - A Pure Parallel Wide Area Legacy Imaging Survey at 1-5 Micron , JWST Proposal. Cycle 1, ID. \#2514
2021
- [149]
-
[150]
G., et al., 2000, @doi [ ] 10.1086/301513 , https://ui.adsabs.harvard.edu/abs/2000AJ....120.1579Y 120, 1579
York D. G., et al., 2000, @doi [ ] 10.1086/301513 , https://ui.adsabs.harvard.edu/abs/2000AJ....120.1579Y 120, 1579
2000 doi
-
[151]
de Jong J. T. A., Verdoes Kleijn G. A., Kuijken K. H., Valentijn E. A., 2013, @doi [Experimental Astronomy] 10.1007/s10686-012-9306-1 , https://ui.adsabs.harvard.edu/abs/2013ExA....35...25D 35, 25
2013 doi
-
[152]
G., Abraham R., Merritt A., Zhang J., Geha M., Conroy C., 2015, @doi [ ] 10.1088/2041-8205/798/2/L45 , https://ui.adsabs.harvard.edu/#abs/2015ApJ...798L..45V 798
van Dokkum P. G., Abraham R., Merritt A., Zhang J., Geha M., Conroy C., 2015, @doi [ ] 10.1088/2041-8205/798/2/L45 , https://ui.adsabs.harvard.edu/#abs/2015ApJ...798L..45V 798
2015 doi
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