REVIEW 3 major objections 4 minor 1 cited by
In a Milky Way analogue, stars with Splash-like chemistry were born on hot orbits, not dynamically heated by the last major merger.
Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →
T0 review · deepseek-v4-flash
2026-08-04 08:27 UTC pith:EGD2YT7L
load-bearing objection The born-hot vs heated question is not fully closed by the spatial-displacement proxy, but this is a careful, readable simulation study that deserves peer review. the 3 major comments →
The chemodynamical memory of a major merger in a NIHAO-UHD Milky Way analogue -- II. Were Splash stars heated or already born hot?
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The paper argues that Splash-like stars in the simulated Milky Way analogue were already dynamically hot at birth, needing no major additional 'splashing'. Comparing birth and present-day positions gives ΔR_2D = 0.1^+1.2_-1.1 kpc and Δ|Z| = -0.03^+0.68_-0.70 kpc, indicating little net motion. Stars with similar chemistry and age have an azimuthal velocity distribution of V_phi = 73^+74_-59 km/s, positively skewed, and low- and high-azimuthal-velocity coeval stars are statistically indistinguishable. The Splash, then, reflects the already turbulent early disc, later mixed with accreted stars and merger-driven star formation, not a distinct heated population.
What carries the argument
Birth-position tracing, the record of where every star formed relative to the evolving centre of mass of the main galaxy in 0.1 Gyr steps. The argument hinges on comparing the birth and present-day cylindrical radius and height for the Splash-like sample and on fitting the azimuthal velocity distribution of chemically similar, coeval stars with a skew-normal model; the small ΔR and Δ|Z| and the positive skewness are what rule out large-scale dynamical heating in this simulation.
Load-bearing premise
The conclusion that these stars were not dynamically heated depends on using median birth versus present-day radius and height as a proxy for orbital heating; that metric could miss heating that changes eccentricity, inclination, or orbital actions without shifting the median position of the sample.
What would settle it
Trace the radial and vertical actions (or eccentricity) of each Splash-like star from birth to the present in this simulation; if present-day actions are systematically larger than birth actions even though median radius and height are unchanged, the 'born hot' conclusion would fail.
If this is right
- If Splash stars were born hot, they are not a clean dynamical clock for dating the last major merger; they instead record the turbulent state of the early disc.
- The observed Splash in the Milky Way may be a mixture of hot-born protodisc stars, accreted stars, and stars formed from gas brought in by the merger.
- The transition to a rotation-supported disc happens only during or after the merger, so the merger may still be important for building disc angular momentum even if it did not heat these particular stars.
- A chemically and age-matched selection yields a broad, positively skewed azimuthal velocity distribution, a signature that can be searched for in observational samples.
- Because the simulated galaxy lacks a significant bar, the Splash-like population here cannot be attributed to bar resonances, strengthening the born-hot interpretation within this run.
Where Pith is reading between the lines
- Editorial inference: This is a single cosmological simulation without a no-merger control run, so the result demonstrates a plausible pathway rather than a measurement of the Milky Way's own history; the same analysis across multiple simulations would test whether hot birth is generic.
- Editorial inference: If positive skewness in the azimuthal velocity distribution of old, metal-rich stars is confirmed in observational samples, it would favour born-hot over a heated-cold-disc origin, where negative skewness would be expected.
- Editorial inference: The birth radii of Splash-like stars are concentrated in the inner galaxy (median about 4.6 kpc), implying significant outward radial migration to reach the solar neighbourhood; this migration, rather than vertical heating, may be the observable signature to look for in age-metallicity gradients.
- Editorial inference: A direct action-space analysis (radial and vertical actions at birth versus today) would sharpen the test, since median radius and height can miss heating that only changes eccentricity or orbital inclination.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This paper (Paper II of a series) uses the NIHAO-UHD cosmological zoom-in simulation g8.26e11, a Milky Way analogue with a 1:5 stellar-mass major merger at ~8.6 Gyr ago, to ask whether Splash-like stars (disc-like chemistry, halo-like kinematics) were dynamically heated by the merger or were already born on dynamically hot orbits. The authors select in-situ Splash-like stars in a solar-neighbourhood-like volume (Sample D), compare them with coeval higher-V_phi stars, and trace stellar birth positions. They report small median displacements between birth and present-day positions (ΔR_2D = 0.1^{+1.2}_{-1.1} kpc, Δ|Z| = -0.03^{+0.68}_{-0.70} kpc), a broad positively skewed azimuthal-velocity distribution, and evidence that the early stellar distribution was already spheroidal. They conclude that in this analogue the Splash-like population was primarily born hot in a turbulent early disc, with no significant additional dynamical splashing, and that the observed Milky Way Splash may similarly reflect a hot-born population rather than a distinct merger-heated one.
Significance. If the central claim holds, it challenges the common interpretation of the Splash as a clean dynamical clock for the last major merger and instead supports a multi-pathway origin involving a turbulent early disc, with merger-driven angular-momentum redistribution playing a secondary role. The paper benefits from several strengths: it uses a high-resolution cosmological simulation with directly traced birth positions, it defines statistically matched samples, it reports percentiles and p-values, and it makes the analysis code and data publicly available. The authors also explicitly acknowledge the absolute metallicity offset between the simulation and observations and the lack of gas tracing. However, the key quantitative inference — that the Splash-like stars were not significantly heated — rests on a spatial-displacement proxy that, as argued below, is insufficient to distinguish orbital heating from birth on eccentric orbits. The single-simulation design further limits the generality of the conclusions. The paper is a valuable demonstration of one plausible pathway, but the no-splashing claim needs additional dynamical evidence before it can be regarded as established.
major comments (3)
- [§3.5, Fig. 6] The central inference that Splash-like stars were 'born hot' rather than 'dynamically heated' is based on comparing median birth and present-day spatial positions (ΔR_2D = 0.1^{+1.2}_{-1.1} kpc, Δ|Z| = -0.03^{+0.68}_{-0.70} kpc). This metric is largely insensitive to the type of orbital heating expected from a merger. Radial heating increases the amplitude of epicyclic oscillations and the radial action J_R without changing the guiding-center radius; at any given snapshot roughly half of a heated population will be at R smaller than its birth radius and half at larger R, so the median ΔR_2D can remain near zero even for substantial heating. Vertical heating similarly phase-mixes around the midplane, so median |Z| displacement need not grow. The paper itself states that it compares spatial distributions 'in an effort to quantify the change of spatial distributions which would imply a chan
- [§4.3, Section 5] The analysis is based on a single cosmological zoom-in simulation with no no-merger control run and no explicit gas tracing, as acknowledged in Section 4.3. The conclusion in Section 5 that 'the interpretation of the Splash as a distinct, merger-heated population is overly restrictive' generalizes beyond what one analogue can demonstrate. The result is better framed as a proof-of-concept that a born-hot population can arise in a Milky Way-like galaxy, rather than as evidence against merger heating in the Milky Way. The authors should either temper the language throughout the abstract and conclusions (e.g., 'in this simulation') or, preferably, add a comparison to a control simulation without a major merger or to a small suite of analogous runs with varying merger parameters to establish the range of possible outcomes. This is a load-bearing point because the central claim is about the in
- [§4.1, Fig. 4] The skewness argument used to distinguish born-hot from heated origins is presented qualitatively. The text states that a positive skewness of V_phi indicates that 'the majority of stars in this population already occupy lower V_phi orbits, rather than being drawn from a dynamically cold distribution that was later heated,' because heating would produce negative skewness. This is a model-dependent assertion that is not quantitatively demonstrated with a synthetic heating model or an alternative simulation. A heated cold disc can produce a variety of V_phi skewness values depending on the heating mechanism, the initial velocity dispersion, and the selection function (here, the imposed V_phi < 75 km/s cut for Sample D). The MMD and KS tests in Section 3.4 show that the high- and low-V_phi samples are consistent in chemistry, but they do not discriminate between heating and born-hot hypothe
minor comments (4)
- [Figure captions (Figs. 5, 6, 7)] Several figure captions contain the stray string '/gtb' (e.g., Fig. 5, Fig. 6, Fig. 7). This appears to be a leftover placeholder and should be removed.
- [§3.2, §3.4] Sample D is introduced as stars with -0.4 < [Fe/H] < 0.1 and -100 < V_phi < 75 km/s, but in Section 3.4 the 'low azimuthal velocity (Splash) stars' are described with V_phi < 75 km/s without the lower bound. Please specify consistently whether the lower cut at -100 km/s is applied in the V_phi distribution shown in Fig. 4, as this affects the skewness fit.
- [Abstract vs. body] The abstract says 'no evidence for significant additional dynamical splashing' while the body (Section 3.5) concludes 'little orbital change' and 'no significant splashing.' The strength of the claim shifts slightly across the text; please align the wording.
- [§3.3] The sentence 'we note only a little overlap in the distribution of ages and chemistry of the most metal-poor in-situ stars with the Splash stars' mixes two separate properties. Consider reporting age and chemistry overlaps separately, as is later done for Sample C and D.
Circularity Check
No significant circularity: the born-hot inference is a direct simulation measurement, not a fitted or self-citation-forced result.
full rationale
The paper's central claim — that Splash-like protodisc stars were already born dynamically hot, with little additional merger-induced splashing — rests on direct measurements in the simulation: comparing each star's traced birth position with its present-day position (Section 3.5, Fig. 6: ΔR2D = 0.1^{+1.2}_{-1.1} kpc, Δ|Z| = -0.03^{+0.68}_{-0.70} kpc) and on the spatially spheroidal early star-forming distribution (Fig. 7). These are not fitted parameters later renamed as predictions; they are independent outputs of the simulation's birth-position tracing. The positive skewness of the azimuthal-velocity distribution of coeval, chemically selected stars (Section 3.4, Fig. 4) is a descriptive statistic, not an input selected by the same Vφ cut used to define the Splash subsample. The paper does rely on Paper I for the in-situ/accreted classification and birth-position methodology, but Paper I is a companion, code-reproducible method with stated assumptions rather than an unverified uniqueness theorem, and the central measurement does not reduce to accepting a self-cited conclusion. The acknowledged limitations — single simulation, no no-merger control, no explicit gas tracing, and the possibility that median radial/vertical displacement is insensitive to phase-mixed eccentricity/action heating — are validity and generalizability concerns, not circular reductions. No step in the derivation is equivalent by construction to its inputs.
Axiom & Free-Parameter Ledger
free parameters (4)
- Sample D selection boundaries =
-0.4<[Fe/H]<0.1, -100<V_phi<75 km/s
- Solar neighbourhood selection =
R_2D = 8.2 ± 2 kpc
- In-situ classification cut =
|Z_birth| > 5 kpc (Paper I Eqs. 4-5)
- Skew normal fit parameters =
mean ~79±65 km/s, skewness ~0.35-0.51
axioms (4)
- domain assumption Lambda-CDM cosmology with Planck 2014 parameters
- domain assumption Gasoline2 SPH feedback and chemical enrichment model
- domain assumption Birth positions can be traced from simulation snapshots at 0.1 Gyr steps relative to the evolving center of mass
- domain assumption The simulation g8.26e11 is a valid Milky Way analogue (stellar mass, disc morphology, merger timing and mass ratio)
read the original abstract
One of the most debated consequences of the Milky Way's last major merger is the so-called $Splash$: stars with disc-like chemistry but halo-like kinematics, often interpreted as evidence for the violent heating of an early protodisc. Using the same high-resolution NIHAO-UHD cosmological simulation analysed in Paper I, we test whether, and if so how, a $Splash$-like population arises in the Milky Way analogue. By tracing stellar birth positions, ages, and present-day orbits, we find that protodisc stars were already born on dynamically hot orbits, with only limited additional dynamical $splashing$ of these particular in-situ stars despite a 1:5 stellar mass merger. A subset of stars, particularly those that end up in the Solar neighbourhood, shows evidence for merger-driven angular-momentum redistribution, but the overall kinematic distribution of stars with $Splash$-like chemistry remains largely unchanged. The observed $Splash$ may therefore primarily reflect the already turbulent early disc, subsequently intermixed with accreted stars and those formed from merger-driven gas inflows, rather than a distinct merger-heated population. When selecting stars with similar chemistry and age as the $Splash$-like ones, we find their azimuthal velocity distribution to be broad and positively skewed, with $V_\varphi = 73_{-59}^{+74}\,\mathrm{km\,s^{-1}}$. The transition to a rotation-supported disc with large azimuthal velocities occurs only during or after the merger. Our results suggest an alternative to the proposed $splashing$ scenario and highlight the need to disentangle the relative contributions of merger-induced heating and intrinsically hot disc formation to clarify the nature of $Splash$-like stars and their role in shaping the early Milky Way.
Figures
Forward citations
Cited by 1 Pith paper
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The Low-$\alpha$ Splash Population in the Milky Way
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Reference graph
Works this paper leans on
-
[1]
Agertz O., et al., 2021, @doi [ ] 10.1093/mnras/stab322 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.503.5826A 503, 5826
-
[2]
Amarante J. A. S., Beraldo e Silva L., Debattista V. P., Smith M. C., 2020, @doi [ ] 10.3847/2041-8213/ab78a4 , https://ui.adsabs.harvard.edu/abs/2020ApJ...891L..30A 891, L30
-
[3]
Amarante J. A. S., Debattista V. P., Beraldo e Silva L., Laporte C. F. P., Deg N., 2022, @doi [ ] 10.3847/1538-4357/ac8b0d , https://ui.adsabs.harvard.edu/abs/2022ApJ...937...12A 937, 12
-
[4]
Astropy Collaboration et al., 2013, @doi [ ] 10.1051/0004-6361/201322068 , http://adsabs.harvard.edu/abs/2013A
-
[5]
Astropy Collaboration et al., 2018, @doi [ ] 10.3847/1538-3881/aabc4f , https://ui.adsabs.harvard.edu/abs/2018AJ....156..123A 156, 123
-
[6]
Belokurov V., Kravtsov A., 2022, @doi [ ] 10.1093/mnras/stac1267 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.514..689B 514, 689
-
[7]
Belokurov V., Erkal D., Evans N. W., Koposov S. E., Deason A. J., 2018, @doi [ ] 10.1093/mnras/sty982 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.478..611B 478, 611
-
[8]
Belokurov V., Sanders J. L., Fattahi A., Smith M. C., Deason A. J., Evans N. W., Grand R. J. J., 2020, @doi [ ] 10.1093/mnras/staa876 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.494.3880B 494, 3880
-
[9]
Bland-Hawthorn J., et al., 2025, @doi [arXiv e-prints] 10.48550/arXiv.2502.01895 , https://ui.adsabs.harvard.edu/abs/2025arXiv250201895B p. arXiv:2502.01895
-
[10]
Bonaca A., Conroy C., Wetzel A., Hopkins P. F., Kere s D., 2017, @doi [ ] 10.3847/1538-4357/aa7d0c , http://adsabs.harvard.edu/abs/2017ApJ...845..101B 845, 101
-
[11]
Bonaca A., et al., 2020, @doi [ ] 10.3847/2041-8213/ab9caa , https://ui.adsabs.harvard.edu/abs/2020ApJ...897L..18B 897, L18
-
[12]
Brooks R. A. N., Sanders J. L., Dillamore A. M., Garavito-Camargo N., Price-Whelan A. M., 2025, @doi [arXiv e-prints] 10.48550/arXiv.2507.10667 , https://ui.adsabs.harvard.edu/abs/2025arXiv250710667B p. arXiv:2507.10667
-
[13]
Brown A. G. A., 2021, @doi [ ] 10.1146/annurev-astro-112320-035628 , https://ui.adsabs.harvard.edu/abs/2021ARA&A..59...59B 59, 59
-
[14]
Buck T., 2020, @doi [ ] 10.1093/mnras/stz3289 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.491.5435B 491, 5435
-
[15]
Buck T., Macci \`o A. V., Dutton A. A., Obreja A., Frings J., 2019, @doi [ ] 10.1093/mnras/sty2913 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.483.1314B 483, 1314
-
[16]
Buck T., Obreja A., Macci \`o A. V., Minchev I., Dutton A. A., Ostriker J. P., 2020, @doi [ ] 10.1093/mnras/stz3241 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.491.3461B 491, 3461
-
[17]
Buck T., Rybizki J., Buder S., Obreja A., Macci \`o A. V., Pfrommer C., Steinmetz M., Ness M., 2021, @doi [ ] 10.1093/mnras/stab2736 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.508.3365B 508, 3365
-
[18]
Buck T., Obreja A., Ratcliffe B., Lu Y., Minchev I., Macci \`o A. V., 2023, @doi [ ] 10.1093/mnras/stad1503 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.523.1565B 523, 1565
-
[19]
Buder S., et al., 2022, @doi [ ] 10.1093/mnras/stab3504 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.510.2407B 510, 2407
-
[20]
Buder S., Mijnarends L., Buck T., 2024, @doi [ ] 10.1093/mnras/stae1552 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.532.1010B 532, 1010
-
[21]
Buder S., Buck T., Chen Q.-H., Grasha K., 2025a, @doi [ ] 10.33232/001c.137295 , https://ui.adsabs.harvard.edu/abs/2025OJAp....8E..47B 8, 47
-
[22]
Buder S., Buck T., Sk \'u lad \'o ttir \'A ., Ness M., McKenzie M., Monty S., 2025b, @doi [arXiv e-prints] 10.48550/arXiv.2510.11284 , https://ui.adsabs.harvard.edu/abs/2025arXiv251011284B arXiv:2510.11284, Paper I
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2510.11284
-
[23]
Carrillo A., Deason A. J., Fattahi A., Grand R. J. J., Fragkoudi F., 2025, @doi [arXiv e-prints] 10.48550/arXiv.2509.24705 , https://ui.adsabs.harvard.edu/abs/2025arXiv250924705C p. arXiv:2509.24705
-
[24]
Chandra V., et al., 2024, @doi [ ] 10.3847/1538-4357/ad5b60 , https://ui.adsabs.harvard.edu/abs/2024ApJ...972..112C 972, 112
-
[25]
Cooper A. P., Parry O. H., Lowing B., Cole S., Frenk C., 2015, @doi [ ] 10.1093/mnras/stv2057 , http://adsabs.harvard.edu/abs/2015MNRAS.454.3185C 454, 3185
-
[26]
D., Katz D., Khoperskov S., Snaith O
Di Matteo P., Haywood M., Lehnert M. D., Katz D., Khoperskov S., Snaith O. N., G \'o mez A., Robichon N., 2019, @doi [ ] 10.1051/0004-6361/201834929 , https://ui.adsabs.harvard.edu/abs/2019A&A...632A...4D 632, A4
-
[27]
Di Matteo P., Spite M., Haywood M., Bonifacio P., G \'o mez A., Spite F., Caffau E., 2020, @doi [ ] 10.1051/0004-6361/201937016 , https://ui.adsabs.harvard.edu/abs/2020A&A...636A.115D 636, A115
-
[28]
Dillamore A. M., Sanders J. L., 2025, @doi [ ] 10.1093/mnras/staf1264 , https://ui.adsabs.harvard.edu/abs/2025MNRAS.542.1331D 542, 1331
-
[29]
Dillamore A. M., Belokurov V., Font A. S., McCarthy I. G., 2022, @doi [ ] 10.1093/mnras/stac1038 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.513.1867D 513, 1867
-
[30]
Dillamore A. M., Belokurov V., Evans N. W., Davies E. Y., 2023, @doi [ ] 10.1093/mnras/stad2136 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.524.3596D 524, 3596
-
[31]
Font A. S., et al., 2020, @doi [ ] 10.1093/mnras/staa2463 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.498.1765F 498, 1765
-
[32]
Frankel N., Rix H.-W., Ting Y.-S., Ness M., Hogg D. W., 2018, @doi [ ] 10.3847/1538-4357/aadba5 , http://adsabs.harvard.edu/abs/2018ApJ...865...96F 865, 96
-
[33]
Frankel N., Sanders J., Ting Y.-S., Rix H.-W., 2020, @doi [ ] 10.3847/1538-4357/ab910c , https://ui.adsabs.harvard.edu/abs/2020ApJ...896...15F 896, 15
-
[34]
Gallart C., Bernard E. J., Brook C. B., Ruiz-Lara T., Cassisi S., Hill V., Monelli M., 2019, @doi [Nature Astronomy] 10.1038/s41550-019-0829-5 , https://ui.adsabs.harvard.edu/abs/2019NatAs...3..932G 3, 932
-
[35]
M., Rasch M
Gretton A., Borgwardt K. M., Rasch M. J., Sch \"o lkopf B., Smola A., 2012, Journal of Machine Learning Research, 13, 723
2012
-
[36]
Haywood M., Di Matteo P., Lehnert M. D., Snaith O., Khoperskov S., G \'o mez A., 2018, @doi [ ] 10.3847/1538-4357/aad235 , http://adsabs.harvard.edu/abs/2018ApJ...863..113H 863, 113
-
[37]
Helmi A., 2020, @doi [ ] 10.1146/annurev-astro-032620-021917 , https://ui.adsabs.harvard.edu/abs/2020ARA&A..58..205H 58, 205
-
[38]
H., Massari D., Veljanoski J., Brown A
Helmi A., Babusiaux C., Koppelman H. H., Massari D., Veljanoski J., Brown A. G. A., 2018, @doi [ ] 10.1038/s41586-018-0625-x , http://adsabs.harvard.edu/abs/2018Natur.563...85H 563, 85
-
[39]
Hodges J. L., 1958, @doi [Arkiv for Matematik] 10.1007/BF02589501 , https://ui.adsabs.harvard.edu/abs/1958ArM.....3..469H 3, 469
-
[40]
D., 2007, @doi [Comput Sci Eng] 10.1109/MCSE.2007.55 , 9, 90
Hunter J. D., 2007, @doi [Comput Sci Eng] 10.1109/MCSE.2007.55 , 9, 90
-
[41]
Jofr \'e P., Heiter U., Soubiran C., 2019, @doi [ ] 10.1146/annurev-astro-091918-104509 , https://ui.adsabs.harvard.edu/abs/2019ARA&A..57..571J 57, 571
-
[42]
Khoperskov S., Minchev I., Steinmetz M., Marabotto J., Kordopatis G., Delgado Gomez J., Libeskind N., 2023a, @doi [arXiv e-prints] 10.48550/arXiv.2310.05287 , https://ui.adsabs.harvard.edu/abs/2023arXiv231005287K p. arXiv:2310.05287
-
[43]
Khoperskov S., et al., 2023b, @doi [ ] 10.1051/0004-6361/202244232 , https://ui.adsabs.harvard.edu/abs/2023A&A...677A..89K 677, A89
-
[44]
Kisku S., et al., 2025, @doi [ ] 10.1093/mnras/staf1075 , https://ui.adsabs.harvard.edu/abs/2025MNRAS.542...76K 542, 76
-
[45]
Lagos C. d. P., Theuns T., Stevens A. R. H., Cortese L., Padilla N. D., Davis T. A., Contreras S., Croton D., 2017, @doi [ ] 10.1093/mnras/stw2610 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.464.3850L 464, 3850
-
[46]
Lagos C. d. P., et al., 2018, @doi [ ] 10.1093/mnras/stx2667 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.473.4956L 473, 4956
-
[47]
Minchev I., Chiappini C., Martig M., 2013, @doi [ ] 10.1051/0004-6361/201220189 , http://adsabs.harvard.edu/abs/2013A
-
[48]
Mori A., Di Matteo P., Salvadori S., Khoperskov S., Pagnini G., Haywood M., 2024, @doi [ ] 10.1051/0004-6361/202449291 , https://ui.adsabs.harvard.edu/abs/2024A&A...690A.136M 690, A136
-
[49]
P., Conroy C., Bonaca A., Johnson B
Naidu R. P., Conroy C., Bonaca A., Johnson B. D., Ting Y.-S., Caldwell N., Zaritsky D., Cargile P. A., 2020, @doi [ ] 10.3847/1538-4357/abaef4 , https://ui.adsabs.harvard.edu/abs/2020ApJ...901...48N 901, 48
-
[50]
Naidu R. P., et al., 2021, @doi [ ] 10.3847/1538-4357/ac2d2d , https://ui.adsabs.harvard.edu/abs/2021ApJ...923...92N 923, 92
-
[51]
hyppo: A Multivariate Hypothesis Testing Python Package
Panda S., Palaniappan S., Xiong J., Bridgeford E. W., Mehta R., Shen C., Vogelstein J. T., 2019, @doi [arXiv e-prints] 10.48550/arXiv.1907.02088 , https://ui.adsabs.harvard.edu/abs/2019arXiv190702088P p. arXiv:1907.02088
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.1907.02088 2019
-
[52]
E., 2007, @doi [Comput Sci Eng] 10.1109/MCSE.2007.53 , 9, 21
P\'erez F., Granger B. E., 2007, @doi [Comput Sci Eng] 10.1109/MCSE.2007.53 , 9, 21
-
[53]
Pillepich A., et al., 2019, @doi [ ] 10.1093/mnras/stz2338 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.490.3196P 490, 3196
-
[54]
Planck Collaboration et al., 2014, @doi [ ] 10.1051/0004-6361/201321591 , https://ui.adsabs.harvard.edu/abs/2014A&A...571A..16P 571, A16
-
[55]
Purcell C. W., Bullock J. S., Kazantzidis S., 2010, @doi [ ] 10.1111/j.1365-2966.2010.16429.x , https://ui.adsabs.harvard.edu/abs/2010MNRAS.404.1711P 404, 1711
arXiv 2010
-
[56]
Quinn P. J., Hernquist L., Fullagar D. P., 1993, @doi [ ] 10.1086/172184 , http://adsabs.harvard.edu/abs/1993ApJ...403...74Q 403, 74
doi:10.1086/172184 1993
-
[57]
Renaud F., Agertz O., Andersson E. P., Read J. I., Ryde N., Bensby T., Rey M. P., Feuillet D. K., 2021, @doi [ ] 10.1093/mnras/stab543 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.503.5868R 503, 5868
-
[58]
Sotillo-Ramos D., et al., 2022, @doi [ ] 10.1093/mnras/stac2586 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.516.5404S 516, 5404
-
[59]
Stinson G., Seth A., Katz N., Wadsley J., Governato F., Quinn T., 2006, @doi [ ] 10.1111/j.1365-2966.2006.11097.x , https://ui.adsabs.harvard.edu/abs/2006MNRAS.373.1074S 373, 1074
arXiv 2006
-
[60]
Stinson G. S., Brook C., Macci \`o A. V., Wadsley J., Quinn T. R., Couchman H. M. P., 2013, @doi [ ] 10.1093/mnras/sts028 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.428..129S 428, 129
-
[61]
B., 2005, ASPC, http://adsabs.harvard.edu/abs/2005ASPC..347...29T 347, 29
Taylor M. B., 2005, ASPC, http://adsabs.harvard.edu/abs/2005ASPC..347...29T 347, 29
2005
-
[62]
Tepper-Garc \' a T., Bland-Hawthorn J., Vasiliev E., Agertz O., Teyssier R., Federrath C., 2024, @doi [ ] 10.1093/mnras/stae2372 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.535..187T 535, 187
-
[63]
Vasiliev E., 2019, @doi [ ] 10.1093/mnras/sty2672 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.482.1525V 482, 1525
-
[64]
Villalobos \'A ., Helmi A., 2008, @doi [ ] 10.1111/j.1365-2966.2008.13979.x , http://adsabs.harvard.edu/abs/2008MNRAS.391.1806V 391, 1806
arXiv 2008
-
[65]
Villalobos \'A ., Helmi A., 2009, @doi [ ] 10.1111/j.1365-2966.2009.15085.x , https://ui.adsabs.harvard.edu/abs/2009MNRAS.399..166V 399, 166
arXiv 2009
-
[66]
Virtanen P., et al., 2020, @doi [Nature Methods] 10.1038/s41592-019-0686-2 , https://rdcu.be/b08Wh 17, 261
-
[67]
Wadsley J. W., Keller B. W., Quinn T. R., 2017, @doi [ ] 10.1093/mnras/stx1643 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.471.2357W 471, 2357
-
[68]
Walt S. v. d., Colbert S. C., Varoquaux G., 2011, @doi [Comput Sci Eng] 10.1109/MCSE.2011.37 , 13, 22
-
[69]
Wang L., Dutton A. A., Stinson G. S., Macci \`o A. V., Penzo C., Kang X., Keller B. W., Wadsley J., 2015, @doi [ ] 10.1093/mnras/stv1937 , http://adsabs.harvard.edu/abs/2015MNRAS.454...83W 454, 83
-
[70]
Yu J., Khanna S., Themessl N., Hekker S., Dr \'e au G., Gizon L., Bi S., 2023a, @doi [ ] 10.3847/1538-4365/acabc8 , https://ui.adsabs.harvard.edu/abs/2023ApJS..264...41Y 264, 41
-
[71]
Yu S., et al., 2023b, @doi [ ] 10.1093/mnras/stad1806 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.523.6220Y 523, 6220
-
[72]
write newline
" write newline "" before.all 'output.state := FUNCTION fin.entry write newline FUNCTION new.block output.state before.all = 'skip after.block 'output.state := if FUNCTION new.sentence output.state after.block = 'skip output.state before.all = 'skip after.sentence 'output.state := if if FUNCTION not #0 #1 if FUNCTION and 'skip pop #0 if FUNCTION or pop #1...
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