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Enregistrement W6912393173 · doi:10.5281/zenodo.3758602

Star Clusters Near and Far

2019· article· en· W6912393173 sur OpenAlexaffabout

Notice bibliographique

RevueZenodo (CERN European Organization for Nuclear Research) · 2019
Typearticle
Langueen
DomainePhysics and Astronomy
ThématiqueAstronomy and Astrophysical Research
Établissements canadiensMcGill UniversityMcMaster UniversityHerzberg Institute of Astrophysics
Organismes subventionnairesnon disponible
Mots-clésGlobular clusterStar clusterGalaxyGalaxy clusterCluster (spacecraft)Star formationContext (archaeology)

Résumé

récupéré en direct d'OpenAlex

Building on Canadian expertise in studies of massive star clusters, we outline outstanding prospects in this field to which we can make fundamental contributions in the next decade and beyond. These include: understanding cluster formation in the early Universe and interpreting future observations of globular cluster progenitors at high redshifts, settling the question of the presence of intermediate-mass black holes in the cores of globular clusters, mapping the kinematics and abundances in the outer parts of Galactic globular clusters to understand their formation and the interplay with Galactic tides, solving the puzzle of multiple stellar populations in globular clusters, unveiling and characterizing compact objects in dense clusters and their implications of gravitational-wave astrophysics, and bringing studies of cluster populations as fossil records of the formation and evolution of external galaxies to the next level with large statistical samples. We highlight synergies between these science goals and upcoming and proposed ground- and space-based facilities. Following up on globular cluster progenitor candidates at high redshift (identified by JWST) with a 30-m class ground-based telescope and adaptive optics will be crucial to characterize these systems and will provide important clues on the relative timing of GC formation in the context of galaxy assembly as well as the possible role of GCs in cosmic reionization. In the meantime, we have reached a stage where our computational methods can model GC formation, and these models will be important to interpret observations. The hydro+dynamics simulations needed are however very expensive, and will require Compute Canada to have capacity for such intensive simulations for our community to take full advantage of its expertise in the field of (massive) cluster formation and evolution. Extreme Multi-Conjugate Adaptive Optics (MCAO) on a 30-m class telescope also promises important breakthroughs in this field. It is the most promising option for reaching a definitive answer on the presence of IMBHs in globular clusters and their importance in the growth of supermassive black holes. It would provide order-of-magnitude improvements in angular resolution and in the precision of proper motion measurements needed for dynamical analyses. Imaging and spectroscopy with 30-m class telescopes would also enable careful studies of the companions of compact objects in clusters, especially accreting BHs, allowing to study of the link between black holes in globular clusters and gravitational sources. Important questions in the field can be tackled with deep, space-based, wide-field imaging at HST-like resolution, preferably in the blue optical/UV region. CASTOR represents a unique opportunity to fill this niche. The statistical samples of proper motion measurements over large regions that this would enable would be ideal to map the plane-of-the-sky kinematics of nearby clusters over their entire extent, for example to measure velocity anisotropy and its impact on the inferred mass/presence of IMBHs, or map the kinematics of clusters near the tidal boundary and disentangle scenarios about their formation and interaction with the Galactic tidal field. Moreover, CASTOR imaging would offer opportunities to probe the host environments of neutron star mergers and constrain their dynamical formation in GCs. At larger distances, CASTOR’s UV and blue-optical coverage would complete the SED coverage of other missions over the critical UVOIR region, allowing complete photometric characterization of potentially many tens of thousands of galaxies and their cluster systems in the local volume. MSE with its large field of view, would also be ideally suited for mapping the kinematics (line-of-sight velocities) in the outskirts of globular clusters, out to the tidal radius. But crucially, it would yield detailed chemical composition for large samples of stars in globular clusters, significantly improving upon current surveys. As such, it would be the most important next-generation facility to address the origin of multiple (chemical) populations in these systems, a great unsolved problems in the study of stellar populations. MSE would also make it possible to build large spectroscopic databases of star cluster populations in external galaxies. Finally, upcoming radio facilities like ngVLA and SKA will provide a significant step forward towards a better determination of BH populations in GCs, with substantial improvement in sensitivity that would allow the identification of typical weakly-accreting black hole candidates in clusters, as well as thoroughly test the presence of weakly-accreting intermediate-mass black holes. Significant improvements in the study of compact objects in clusters will also be possible with future advanced X-ray telescopes with higher spectral resolution and sensitivity, such as ESA’s Athena and NASA’s Lynx missions.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,024
Score d'incertitude au seuil0,081

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,001
Communication savante0,0040,003
Science ouverte0,0010,004
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0240,007

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,014
Tête enseignante GPT0,227
Écart entre enseignants0,214 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission2
Résumé présentoui

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