REVIEW 3 major objections 4 minor 290 references
Globular clusters on tighter Galactic orbits host more chemically diverse second-generation populations.
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
2026-08-01 10:46 UTC pith:2ODED5UM
load-bearing objection Careful and thought-provoking, but the headline orbital claim relies on a correction calibrated on the same data; treat the environmental imprint as a hypothesis until it survives out-of-sample validation. the 3 major comments →
A universal chromosome map for globular clusters: chemical calibration and environmental regulation of the multiple populations
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's central claim is that the raw chromosome map is not a universal coordinate system: the apparent separation between primordial and enriched stars grows with metallicity because the UV filters respond more strongly at higher [Fe/H]. After removing this photometric drift with an empirical correction evaluated at a reference metallicity, the corrected maps reveal a chemically meaningful quantity — the extension of the enriched sequence — that varies coherently across clusters. Validated against homogeneous spectroscopy, the corrected index S_ChM,z tracks the multivariate abundance width of the second population along a high-temperature proton-capture axis, not a single element. The s
What carries the argument
The load-bearing construction is the 'universal chromosome map' frame. The paper fits each raw map coordinate as a linear function of metallicity, initial cluster mass, and reddening; subtracts the metallicity and reddening terms to a common reference (preserving the mass term as a physical signal); then, cluster by cluster, rotates the map so the vector from the primordial to the enriched centroid defines the enrichment axis. The enriched stars are projected onto that axis and the perpendicular direction, yielding three 2P observables — mean displacement, parallel width, and perpendicular width — whose first principal component is the index S_ChM,z. A spectroscopic validation using a multiv
Load-bearing premise
The result rests on two assumptions: that the raw metallicity drift in the chromosome maps is photometric rather than intrinsic, and that the externally adopted orbital parameters used for the correlation are accurate; the first is supported by synthetic spectra but fitted on the same sample, and the second is not independently verified here.
What would settle it
Take a metal-poor and a metal-rich cluster with the same initial mass and the same spectroscopically measured 2P abundance width; if, after applying the paper's correction, their corrected ChM extensions differ by much more than the measurement error, the metallicity drift is not purely photometric and the universal frame is not universal. Alternatively, gather a sample extending to z_max > 25 kpc: if the S_ChM,z–z_max anti-correlation does not continue (or reverses) in that regime, the claim of an orbital-confinement imprint is not general.
If this is right
- Raw chromosome-map separations should no longer be quoted as enrichment amplitudes across clusters of different metallicities; the corrected frame is the required basis for comparison.
- S_ChM,z gives a photometric, population-level measure of chemical diversity that is particularly sensitive to the Mg-Al/O part of proton-capture processing, which is expensive to measure spectroscopically for many stars.
- Any successful model of multiple populations must reproduce the orbital/environmental dependence of the enriched-sequence extent at fixed mass and metallicity, not just the internal polluter budget.
- The index does not simply trace current tidal erosion: it does not correlate with mass-loss or relaxation indicators, and its geometry (longer and more displaced, not truncated) argues against stripping as the main driver.
- Accreted versus in-situ origin labels organise the index less cleanly than continuous orbital quantities, suggesting the relevant variable is the orbital-confinement dimension itself.
Where Pith is reading between the lines
- If this result holds, one testable consequence is that globular clusters of equal mass and metallicity in dwarf galaxies — which have very different confining potentials — should show a different distribution of S_ChM,z than Milky Way halo clusters.
- The correction's validity could be checked directly by obtaining UV photometry of a metal-poor and a metal-rich cluster with matched spectroscopically measured enrichment widths; the corrected maps should coincide if the drift is purely photometric.
- A sharper use of the index would be to look for clusters with similar nitrogen spreads but different Mg-Al spreads; since S_ChM,z is weighted toward the high-temperature component, such pairs would separate, making it a diagnostic of enrichment temperature rather than just overall processing.
- The environmental trend suggests high-redshift compact nitrogen-enriched star-forming sources might show environment-dependent enrichment strengths, meaning the abundance patterns seen in early galaxies could carry formation-environment information.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper addresses the metallicity-dependent photometric response of HST chromosome maps (ChMs) of globular clusters. Using 23 Galactic GCs from HUGS, the authors fit linear trends of the 1P/2P ChM loci and the 2P-tail anchor with [Fe/H], initial mass, and reddening (Sect. 3.2), subtract the [Fe/H] and E(B-V) terms relative to reference values, and define corrected 2P observables Delta2P_parallel, L2P_parallel, and L2P_perp in a local enrichment-aligned frame. A standardized index S_ChM,z is defined as PC1 of these three observables (Sect. 3.3.1). The index is validated against APOGEE abundance widths (11 clusters), then correlated with cluster mass, structure, orbits, and accretion labels. The central claim is that S_ChM,z anti-correlates with orbital-confinement quantities (zmax, Jz, apocentre, energy, R_GC) at rho_S ~ -0.6 to -0.65, surviving partial correlations and a low-reddening subsample, while initial mass is only marginally correlated. The authors interpret the orbital dependence as a fossil imprint of the birth environment rather than a survival artifact.
Significance. If the result holds, the paper provides a chemically meaningful, cross-cluster photometric index of the 2P enrichment amplitude and introduces a new empirical constraint: MP chemical diversity depends not only on cluster potential but also on orbital/environmental conditions. Strengths include public code, permutation p-values with Benjamini-Hochberg control, partial correlations, a low-reddening decoupling test, and an APOGEE validation that is independent of the photometric classification. However, the correction is calibrated on the same 23 clusters whose corrected morphologies are then analyzed; the external validations are partial (synthetic spectra test only the raw 1P-2P separation slope; APOGEE sample of 11 with marginal p=0.047); and the orbital data sources are not cited. These issues leave the environmental claim plausible but not fully established.
major comments (3)
- [Sects. 3.2-3.3] The metallicity correction is fitted and tested on the same 23 clusters. The post-correction statement that no 2P observable retains a metallicity dependence is an in-sample check; subtracting least-squares linear trends necessarily reduces those trends. The Branco et al. synthetic test validates only the raw 1P-2P separation slope, not the corrected L2P_parallel, L2P_perp, or Delta2P_parallel; the APOGEE validation (Sect. 3.3.2) uses 11 clusters and gives p=0.047, i.e. marginal. Since [Fe/H] and zmax are collinear in the Milky Way GC system, a residual correction error at low [Fe/H] could masquerade as the reported S_ChM,z-zmax anti-correlation; the partial correlation controlling for [Fe/H] removes only the linear component already fitted. Please add an out-of-sample check (e.g. leave-one-out calibration, split-sample validation, or synthetic clusters with an [Fe/H]-independent input i
- [Sect. 4.1] The orbital quantities zmax, Jz, orbital energy, apocentre, and R_GC are used as the central result, but no source is given for these values (only Harris 1996 and Baumgardt & Hilker 2018 are cited for mass/structural parameters). The adopted Galactic potential, orbit-integration scheme, and associated uncertainties are not described. Without this information the reader cannot assess systematic errors in the orbital-confinement family. Please cite the orbit catalogue and provide uncertainties; if the orbits are computed here, give the potential and method.
- [Sect. 3.3.1] S_ChM,z is defined as PC1 of three point-estimate observables. No uncertainties are propagated from photometric errors, GMM classification, reddening correction, or the beta-slope fits. The permutation p-values in Sect. 4.1 treat S_ChM,z as noiseless. With N=23 and |rho_S| approximately 0.6, measurement error could materially affect the reported significances. Please provide bootstrap or Monte Carlo uncertainties for S_ChM,z and re-evaluate the correlations, or at least state how measurement noise affects the p-values.
minor comments (4)
- [Sect. 2.1] The orbital quantities are introduced only in Sect. 4.1; define zmax, Jz, apocentre, energy, and R_GC in the data section and state their provenance there.
- [Sect. 3.2] When comparing the empirical separation slope with Branco et al., the empirical slope is quoted as +0.098 with a 95% HDI for the Bayesian estimate; give the full credible interval for the empirical slope as well.
- [Fig. 4] The color-coding by [Fe/H] is mentioned in the caption but no colorbar or scale is shown; add one for clarity.
- [Sect. 4.1] The footnote defining p_perm says 'these probabilities' without an explicit antecedent in the main text; rephrase for clarity.
Circularity Check
Metallicity correction fitted on the same 23 clusters makes the residual-[Fe/H] 'validation' partly in-sample, but the central orbital signal is not forced by construction.
specific steps
-
fitted input called prediction
[Sect. 3.3 (corrected frame validation); fit defined in Sect. 3.2]
"we subtract the empirical dependence of the 1P and 2P loci on [Fe/H] and E(B−V), using the population- and coordinate-dependent slopes derived in Sect. 3.1. ... As a validation of the corrected frame, we test these observables for residual trends with [Fe/H]. None of the three primary 2P observables retains a significant metallicity dependence, confirming that the first-order photometric effect has been removed."
The removed slopes are fitted to the same 23 clusters (q_i = α + β_[Fe/H][Fe/H]_i + ...). Subtracting a fitted linear [Fe/H] term from the same data guarantees that the linear [Fe/H] component of the fitted loci is zero, so the residual check cannot independently confirm a 'universal' frame. The three 2P observables are not literally the six fitted loci, so this is not a pure identity, but the corrected centroids entering Δ2P∥ are direct functions of the fitted loci. External synthetic (Branco +0.125 vs +0.098) and APOGEE width checks provide independent support, but they validate the raw separation slope and intrinsic widths, not the corrected index's [Fe/H] independence.
full rationale
The central environmental claim (S_ChM,z anticorrelates with z_max, J_z, apocentre after BH correction) is not circular: the orbital quantities are external to the ChM construction, the correction was not fitted to them, and the low-reddening subsample plus partial correlation on mass and [Fe/H] are genuine controls. The APOGEE chemical validation is correctly separated from the photometric classification (Sect. 2.2, Appendix B), and the S_ChM,z–IQR(PC1chem) correlation uses spectroscopic quantities not used to build the index. The one partly circular step is the in-sample residual-[Fe/H] validation of the correction; it is a fitted-input check rather than an independent prediction, and the paper's own external evidence mitigates but does not fully remove this. Self-citations (Lardo et al. 2026) are used for secondary origin labels and are not load-bearing for the orbital result. No uniqueness theorem or ansatz is smuggled via self-citation. The paper is therefore not centrally circular, but the calibration claim is weaker than its wording suggests.
Axiom & Free-Parameter Ledger
free parameters (4)
- β_FeH(y2P) =
+0.10 ± 0.01 mag dex^-1
- β_FeH(y2P,max) =
+0.12 ± 0.02 mag dex^-1
- β_FeH, β_M, β_E for six raw ChM loci =
not tabulated
- [Fe/H]_ref and E(B−V)_ref =
-1.32, 0.05
axioms (5)
- domain assumption Raw ChM drift with [Fe/H] is essentially photometric, not intrinsic enrichment
- domain assumption Linear model in [Fe/H], log M_ini, E(B−V) is sufficient for raw ChM loci
- domain assumption GMM-based 1P/2P partition and cleaning procedures yield homogeneous population labels across 23 clusters
- domain assumption Orbital quantities are accurate and homogeneous tracers of orbital confinement
- domain assumption Excluding Type-II/complex clusters does not bias the orbital trend
read the original abstract
Chromosome maps (ChMs) are two-dimensional diagrams of UV/optical pseudocolours widely used to diagnose the multiple stellar populations (MPs) phenomenon in globular clusters. Their raw morphology is affected by the metallicity-dependent response of the photometric filters, preventing unbiased comparisons across clusters of different metallicities. We identify a cross-cluster ChM framework that accounts for this dependence, enabling an unbiased investigation of the physical drivers of MP diversity. We analyse ChMs for 23 Galactic globulars and devise a technique to correct the raw maps for the clusters' different metallicities. On the resulting "universal" ChM we define a new photometric enrichment index $S_{\rm ChM,z}$, validated against APOGEE spectroscopy. We compare this index with cluster masses, structural parameters, orbital quantities, and accretion-origin classifications. $S_{\rm ChM,z}$ correlates with the multivariate chemical abundance ranges of the enriched population and with the aluminium spread. Across the sample it increases with initial mass but correlates most strongly with a family of orbital-confinement quantities ($z_{\max}$, vertical action, apocentre, Galactocentric radius, orbital energy). The corrected ChMs provide a chemically meaningful, population-level measure of the enriched sequence. $S_{\rm ChM,z}$ does not trace a single abundance ratio but captures the cluster-to-cluster amplitude of the combined light-element variations, with particular sensitivity to the high-temperature Mg-Al/O component of proton-capture processing. Its dependence on both cluster potential depth and orbital confinement suggests that 2P chemical diversity is shaped by internal enrichment physics together with an environmental imprint, whether inherited at formation, modified by early evolution, or filtered by subsequent orbital survival.
Figures
Reference graph
Works this paper leans on
-
[1]
The abundance spread in the giants of NGC 6752. ApJ , keywords =. doi:10.1086/158698 , adsurl =
-
[2]
Five Groups of Red Giants with Distinct Chemical Composition in the Globular Cluster NGC 2808. , keywords =. doi:10.1088/0004-637X/810/2/148 , archivePrefix =. 1507.07553 , primaryClass =
-
[3]
Multiple populations in massive star clusters under the magnifying glass of photometry: theory and tools. , keywords =. doi:10.1007/s00159-020-00127-y , archivePrefix =. 2006.13172 , primaryClass =
Pith/arXiv arXiv 2006
-
[4]
The binary content of multiple populations in NGC 3201. , keywords =. doi:10.1051/0004-6361/201936843 , archivePrefix =. 1912.01627 , primaryClass =
Pith/arXiv arXiv 1912
-
[5]
Constraining the original composition of the gas forming first-generation stars in globular clusters. , keywords =. doi:10.1093/mnras/stac734 , archivePrefix =. 2203.07571 , primaryClass =
-
[6]
A single model for the variety of multiple-population formation(s) in globular clusters: a temporal sequence. , keywords =. doi:10.1093/mnras/stw387 , archivePrefix =. 1602.05412 , primaryClass =
-
[7]
A catalogue of masses, structural parameters, and velocity dispersion profiles of 112 Milky Way globular clusters. , keywords =. doi:10.1093/mnras/sty1057 , archivePrefix =. 1804.08359 , primaryClass =
-
[8]
A chemical tagging of the multiple stellar populations over the chromosome maps
The Hubble Space Telescope UV Legacy Survey of Galactic Globular Clusters - XIX. A chemical tagging of the multiple stellar populations over the chromosome maps. , keywords =. doi:10.1093/mnras/stz1415 , archivePrefix =. 1904.05180 , primaryClass =
Pith/arXiv arXiv 1904
-
[9]
Discrepancies between spectroscopy and HST photometry in tagging multiple stellar populations in 22 globular clusters. , keywords =. doi:10.1051/0004-6361/202450482 , archivePrefix =. 2406.06683 , primaryClass =
-
[10]
Chemo-dynamical reconstruction of Milky Way globular cluster progenitors: Age─metallicity relations and the universality of multiple stellar populations. , keywords =. doi:10.1051/0004-6361/202659820 , archivePrefix =. 2603.11814 , primaryClass =
-
[11]
The Pattern of CN, O, and Na Inhomogeneities on the Red Giant Branch of Messier 5. , keywords =. doi:10.1086/673753 , archivePrefix =. 1310.4910 , primaryClass =
-
[12]
The APOGEE value-added catalogue of Galactic globular cluster stars. , keywords =. doi:10.1093/mnras/stad3020 , archivePrefix =. 2310.07764 , primaryClass =
-
[13]
Multiple Populations in Star Clusters. Universe , keywords =. doi:10.3390/universe8070359 , archivePrefix =. 2206.10564 , primaryClass =
-
[14]
ApJ , archivePrefix = "arXiv", eprint =
Gravitational Fragmentation in Turbulent Primordial Gas and the Initial Mass Function of Population III Stars. ApJ , archivePrefix = "arXiv", eprint =. doi:10.1088/0004-637X/727/2/110 , adsurl =
-
[15]
The Most Metal-poor Stars. IV. The Two Populations with [Fe/H] < -3.0. ApJ , archivePrefix = "arXiv", eprint =. doi:10.1088/0004-637X/762/1/28 , adsurl =
-
[16]
Probing the formation of the first low-mass stars with stellar archaeology. MNRAS , eprint =. doi:10.1111/j.1745-3933.2007.00344.x , adsurl =
arXiv 2007
-
[18]
The Formation of the First Stars. I. The Primordial Star-forming Cloud. ApJ , eprint =. doi:10.1086/323947 , adsurl =
-
[19]
TOPoS . II. On the bimodality of carbon abundance in CEMP stars Implications on the early chemical evolution of galaxies. A&A , archivePrefix = "arXiv", eprint =. doi:10.1051/0004-6361/201425266 , adsurl =
-
[20]
Is helium the key parameter in the extended colour spread of the first generation stars in M3?. MNRAS , keywords =. 2019. doi:10.1093/mnras/stz1273 , archivePrefix =. 1905.02584 , primaryClass =
Pith/arXiv arXiv 2019
-
[21]
Statistics and Computing , year =
Vehtari, Aki and Gelman, Andrew and Gabry, Jonah , title =. Statistics and Computing , year =. doi:10.1007/s11222-016-9696-4 , url =
-
[22]
Simulating from very deep to very shallow photometric surveys with the TRILEGAL code
Star counts in the Galaxy. Simulating from very deep to very shallow photometric surveys with the TRILEGAL code. , keywords =. doi:10.1051/0004-6361:20042352 , archivePrefix =. astro-ph/0504047 , primaryClass =
-
[23]
2021 , url =
R: A Language and Environment for Statistical Computing , author =. 2021 , url =
2021
-
[24]
, year = 1968, month = nov, volume =
Low-Mass Red Giants. , year = 1968, month = nov, volume =. doi:10.1086/149782 , adsurl =
-
[25]
Journal of Statistical Software , year =
S\'ebastien L\^e and Julie Josse and Fran. Journal of Statistical Software , year =
-
[26]
2020 , note =
factoextra: Extract and Visualize the Results of Multivariate Data Analyses , author =. 2020 , note =
2020
-
[27]
MNRAS , archivePrefix = "arXiv", eprint =
Age as a major factor in the onset of multiple populations in stellar clusters. MNRAS , archivePrefix = "arXiv", eprint =. doi:10.1093/mnras/stx2556 , adsurl =
-
[28]
ARA&A , year = 2005, month = sep, volume = 43, pages =
The Discovery and Analysis of Very Metal-Poor Stars in the Galaxy. ARA&A , year = 2005, month = sep, volume = 43, pages =. doi:10.1146/annurev.astro.42.053102.134057 , adsurl =
arXiv 2005
-
[30]
MNRAS , archivePrefix = "arXiv", eprint =
The Gaia-ESO Survey: the most metal-poor stars in the Galactic bulge. MNRAS , archivePrefix = "arXiv", eprint =. doi:10.1093/mnras/stu1991 , adsurl =
-
[31]
MNRAS , archivePrefix = "arXiv", eprint =
Classification of extremely metal-poor stars: absent region in A(C)-[Fe/H] plane and the role of dust cooling. MNRAS , archivePrefix = "arXiv", eprint =. doi:10.1093/mnrasl/slx163 , adsurl =
-
[33]
MNRAS , archivePrefix = "arXiv", eprint =
The Pristine survey IV: approaching the Galactic metallicity floor with the discovery of an ultra-metal-poor star. MNRAS , archivePrefix = "arXiv", eprint =. doi:10.1093/mnras/sty2276 , adsurl =
-
[34]
ApJL , archivePrefix = "arXiv", eprint =
J0023+0307: A Mega Metal-poor Dwarf Star from SDSS/BOSS. ApJL , archivePrefix = "arXiv", eprint =. doi:10.3847/2041-8213/aaadb8 , adsurl =
-
[35]
ApJL , archivePrefix = "arXiv", eprint =
J0815+4729: A Chemically Primitive Dwarf Star in the Galactic Halo Observed with Gran Telescopio Canarias. ApJL , archivePrefix = "arXiv", eprint =. doi:10.3847/2041-8213/aaa23a , adsurl =
-
[36]
arXiv e-prints , keywords =
LRP2020: Machine Learning Advantages in Canadian Astrophysics. arXiv e-prints , keywords =. 2019
2019
-
[37]
Nucleosynthetic signatures of the first stars. Nature , eprint =. doi:10.1038/nature03455 , adsurl =
-
[38]
A stellar relic from the early Milky Way. Nature , eprint =. doi:10.1038/nature01142 , adsurl =
-
[39]
Stellar populations in the Galactic bulge of the Milky Way
ARGOS - III. Stellar populations in the Galactic bulge of the Milky Way. MNRAS , archivePrefix = "arXiv", eprint =. doi:10.1093/mnras/sts629 , adsurl =
-
[40]
Chemical Evolution in Hierarchical Models of Cosmic Structure. II. The Formation of the Milky Way Stellar Halo and the Distribution of the Oldest Stars. ApJ , archivePrefix = "arXiv", eprint =. doi:10.1088/0004-637X/708/2/1398 , adsurl =
-
[41]
The Messenger , year = 2012, month = mar, volume = 147, pages =
The Gaia-ESO Public Spectroscopic Survey. The Messenger , year = 2012, month = mar, volume = 147, pages =
2012
-
[42]
MNRAS , archivePrefix = "arXiv", eprint =
Multiple populations along the asymptotic giant branch of the globular cluster M4. MNRAS , archivePrefix = "arXiv", eprint =. doi:10.1093/mnras/stw3374 , adsurl =
-
[43]
ApJL , archivePrefix = "arXiv", eprint =
Lost and Found: Evidence of Second-generation Stars Along the Asymptotic Giant Branch of the Globular Cluster NGC 6752. ApJL , archivePrefix = "arXiv", eprint =. doi:10.3847/2041-8205/826/1/L1 , adsurl =
-
[44]
Nature , archivePrefix = "arXiv", eprint =
Sodium content as a predictor of the advanced evolution of globular cluster stars. Nature , archivePrefix = "arXiv", eprint =. doi:10.1038/nature12191 , adsurl =
-
[45]
ArXiv e-prints , archivePrefix = "arXiv", eprint =
IC4499 revised: spectro-photometric evidence of small light-element variations. ArXiv e-prints , archivePrefix = "arXiv", eprint =
-
[46]
Evolution of Stars and Stellar Populations. 2005
2005
-
[47]
CNO abundances in the globular clusters NGC 1851 and NGC 6752. MNRAS , keywords =. 2015. doi:10.1093/mnras/stu2334 , archivePrefix =. 1411.1474 , primaryClass =
Pith/arXiv arXiv 2015
-
[48]
Masses, Radii, and the Equation of State of Neutron Stars. ARA&A , keywords =. 2016. doi:10.1146/annurev-astro-081915-023322 , archivePrefix =. 1603.02698 , primaryClass =
Pith/arXiv arXiv 2016
-
[49]
What is a globular cluster? An observational perspective. A&ARv , keywords =. 2019. doi:10.1007/s00159-019-0119-3 , archivePrefix =. 1911.02835 , primaryClass =
Pith/arXiv arXiv 2019
-
[50]
A stellar census in globular clusters with MUSE: multiple populations chemistry in NGC 2808. A&A , keywords =. 2019. doi:10.1051/0004-6361/201936242 , archivePrefix =. 1909.04959 , primaryClass =
Pith/arXiv arXiv 2019
-
[51]
The SLUGGS survey: globular clusters and the dark matter content of early-type galaxies. mnras , keywords =. 2016. doi:10.1093/mnrasl/slw015 , archivePrefix =. 1602.01105 , primaryClass =
Pith/arXiv arXiv 2016
-
[52]
Modelling reionization in a bursty universe. mnras , keywords =. 2016. doi:10.1093/mnras/stw1562 , archivePrefix =. 1602.06302 , primaryClass =
Pith/arXiv arXiv 2016
-
[53]
Clues on the missing sources of reionization from self-consistent modelling of Milky Way and dwarf galaxy globular clusters. mnras , keywords =. 2014. doi:10.1093/mnras/stu1489 , archivePrefix =. 1406.6055 , primaryClass =
Pith/arXiv arXiv 2014
-
[54]
Search for exoplanets and variable stars within the open cluster M 67 (NGC 2682)
A PSF-based approach to Kepler/K2 data - III. Search for exoplanets and variable stars within the open cluster M 67 (NGC 2682). mnras , keywords =. 2016. doi:10.1093/mnras/stw2169 , archivePrefix =. 1608.08539 , primaryClass =
Pith/arXiv arXiv 2016
-
[55]
Habitability in the Omega Centauri Cluster. ApJ , keywords =. 2018. doi:10.3847/1538-4357/aad802 , archivePrefix =. 1808.00053 , primaryClass =
Pith/arXiv arXiv 2018
-
[56]
A Lack of Planets in 47 Tucanae from a Hubble Space Telescope Search. ApJL , keywords =. 2000. doi:10.1086/317334 , adsurl =
doi:10.1086/317334 2000
-
[57]
Stability of multiplanetary systems in star clusters. mnras , keywords =. 2017. doi:10.1093/mnras/stx1464 , archivePrefix =. 1706.03789 , primaryClass =
Pith/arXiv arXiv 2017
-
[58]
Omega Centauri, A Unique Window into Astrophysics , year = "2002", editor =
Stellar Exotica Produced from Stellar Encounters. Omega Centauri, A Unique Window into Astrophysics , year = "2002", editor =
2002
-
[59]
A Wide-field Map of Intracluster Globular Clusters in Coma. ApJ , keywords =. 2018. doi:10.3847/1538-4357/aae206 , archivePrefix =. 1811.11794 , primaryClass =
Pith/arXiv arXiv 2018
-
[60]
Stellar classification from single-band imaging using machine learning. A&A , keywords =. 2016. doi:10.1051/0004-6361/201628660 , archivePrefix =. 1605.03201 , primaryClass =
Pith/arXiv arXiv 2016
-
[61]
SPIE , year = "2011", series =
20 years of Hubble Space Telescope optical modeling using Tiny Tim. SPIE , year = "2011", series =. doi:10.1117/12.892762 , adsurl =
-
[62]
Young Massive Star Clusters. A&AARv , keywords =. 2010. doi:10.1146/annurev-astro-081309-130834 , archivePrefix =. 1002.1961 , primaryClass =
Pith/arXiv arXiv 2010
-
[63]
Internal dynamics of globular clusters. A&ARv , keywords =. 1997. doi:10.1007/s001590050008 , archivePrefix =. astro-ph/9610076 , primaryClass =
Pith/arXiv arXiv 1997
-
[64]
and Chaboyer, Brian , title =
Krauss, Lawrence M. and Chaboyer, Brian , title =. 2003 , doi =. https://science.sciencemag.org/content/299/5603/65.full.pdf , journal =
2003
-
[65]
Dynamical constraints on the origin of multiple stellar populations in globular clusters. MNRAS , keywords =. 2015. doi:10.1093/mnras/stv1356 , archivePrefix =. 1506.05303 , primaryClass =
Pith/arXiv arXiv 2015
-
[66]
Recurrent gas accretion by massive star clusters, multiple stellar populations and mass thresholds for spheroidal stellar systems. MNRAS , keywords =. 2009. doi:10.1111/j.1365-2966.2009.14954.x , archivePrefix =. 0904.4476 , primaryClass =
arXiv 2009
-
[67]
The origin of discrete multiple stellar populations in globular clusters. MNRAS , keywords =. 2017. doi:10.1093/mnras/stx1609 , archivePrefix =. 1706.06787 , primaryClass =
Pith/arXiv arXiv 2017
-
[69]
The Initial Mass Function of Stars: Evidence for Uniformity in Variable Systems. Science , eprint =. doi:10.1126/science.1067524 , adsurl =
-
[70]
Chemical Abundances along the 1G Sequence of the Chromosome Maps: The Globular Cluster NGC 3201. , keywords =. doi:10.3847/1538-4357/ab53d9 , archivePrefix =. 1910.02892 , primaryClass =
Pith/arXiv arXiv 1910
-
[71]
International Journal of Modern Physics D , keywords =
Data Mining and Machine Learning in Astronomy. International Journal of Modern Physics D , keywords =. 2010. doi:10.1142/S0218271810017160 , archivePrefix =. 0906.2173 , primaryClass =
Pith/arXiv arXiv 2010
-
[72]
IEEE Intelligent Systems , year=
Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy , author=. IEEE Intelligent Systems , year=
-
[73]
Kinematical evolution of multiple stellar populations in star clusters. MNRAS , keywords =. 2019. doi:10.1093/mnras/stz1595 , archivePrefix =. 1907.05901 , primaryClass =
Pith/arXiv arXiv 2019
-
[74]
Debris streams in the solar neighbourhood as relicts from the formation of the Milky Way. , keywords =. doi:10.1038/46980 , archivePrefix =. astro-ph/9911041 , primaryClass =
-
[75]
The merger that led to the formation of the Milky Way's inner stellar halo and thick disk. , keywords =. doi:10.1038/s41586-018-0625-x , archivePrefix =. 1806.06038 , primaryClass =
-
[76]
Globular clusters in the Gaia era
Homogeneous photometry - VII. Globular clusters in the Gaia era. MNRAS , keywords =. 2019. doi:10.1093/mnras/stz585 , archivePrefix =. 1902.09925 , primaryClass =
Pith/arXiv arXiv 2019
-
[77]
Star Formation at z = 2.481 in the Lensed Galaxy SDSS J1110+6459: Star Formation Down to 30 pc Scales. ApJL , keywords =. 2017. doi:10.3847/2041-8213/aa7516 , archivePrefix =. 1707.00706 , primaryClass =
Pith/arXiv arXiv 2017
-
[78]
Magnifying the Early Episodes of Star Formation: Super Star Clusters at Cosmological Distances. ApJ , keywords =. 2017. doi:10.3847/1538-4357/aa74ae , archivePrefix =. 1703.02044 , primaryClass =
Pith/arXiv arXiv 2017
-
[79]
Massive star cluster formation under the microscope at z = 6. MNRAS , keywords =. 2019. doi:10.1093/mnras/sty3311 , archivePrefix =. 1809.02617 , primaryClass =
Pith/arXiv arXiv 2019
-
[80]
Yields of AGB and SAGB models with chemistry of low- and high-metallicity globular clusters. , keywords =. doi:10.1093/mnras/stt444 , archivePrefix =. 1303.3912 , primaryClass =
-
[81]
Explaining the Multiple Populations in Globular Clusters by Multiple Episodes of Star Formation and Enrichment without Gas Expulsion from Massive Star Feedback. ApJ , keywords =. 2018. doi:10.3847/1538-4357/aaec67 , archivePrefix =. 1807.01317 , primaryClass =
Pith/arXiv arXiv 2018
-
[82]
The helium abundance of multiple populations
The Hubble Space Telescope UV legacy survey of galactic globular clusters - XVI. The helium abundance of multiple populations. MNRAS , keywords =. 2018. doi:10.1093/mnras/sty2573 , archivePrefix =. 1809.05006 , primaryClass =
Pith/arXiv arXiv 2018
-
[83]
The Role of Cluster Mass in the Multiple Populations of Galactic and Extragalactic Globular Clusters. AJ , keywords =. 2019. doi:10.3847/1538-3881/ab45f2 , archivePrefix =. 1909.08439 , primaryClass =
Pith/arXiv arXiv 2019
-
[84]
arXiv e-prints , keywords =
An Extragalactic Chromosome Map: The intermediate age SMC Cluster Lindsay 1. arXiv e-prints , keywords =. 2019
2019
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.