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Record W4408439349 · doi:10.1051/0004-6361/202452702

ALMAGAL

2025· article· en· W4408439349 on OpenAlexaff
S. Molinari, P. Schilke, C. Battersby, Paul T. P. Ho, A. S'anchez-Monge, A. Traficante, B. Jones, M.T. Beltr'an, H. Beuther, G. A. Fuller, Qizhou Zhang, R.S. Klessen, S. Walch, Ya‐Wen Tang, M. Benedettini, D. Elia, Alessandro Coletta, C. Mininni, E. Schisano, A. Avison, Chi-Yan Law, J. D. Soler, G. Stroud, J. Wallace, M. R. A. Wells, A. Ahmadi, C. L. Brogan, T. R. Hunter, Sheng‐Yuan Liu, S. Pezzuto, Yang Su, Bernd Alois Zimmermann, F. Wyrowski, F. De Angelis, S. J. Liu, Shaun D. Clarke, F. Fontani, Pamela Klaassen, Patrick M. Koch, K. Johnston, U. Lebreuilly, Tie Liu, S.L. Lumsden, T. Moeller, L. Moscadelli, R. Kuiper, D. Lis, N. Peretto, Susanne Pfalzner, A. J. Rigby, P. Sanhueza, K. L. J. Rygl, F. van der Tak, H. Zinnecker, J. Bally, L. Bronfman, R. Cesaroni, Khean‐Lee Goh, M. G. Hoare, P. Hatchfield, P. Hennebelle, T. Henning, Kee‐Tae Kim, W.-J. Kim, L. T. Maud, Manuel Merello, F. Nakamura, R. Plume, Sheng‐Li Qin, B. Svoboda, L. Testi, V. S. Veena, D. Walker

Bibliographic record

VenueAstronomy and Astrophysics · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstronomy and Astrophysical Research
Canadian institutionsUniversity of Calgary
FundersEuropean Research CouncilScience and Technology Facilities CouncilNational Institutes of Natural SciencesSmithsonian Astrophysical ObservatoryJet Propulsion LaboratoryCalifornia Institute of TechnologyEuropean CommissionUniversität zu KölnDeutsche ForschungsgemeinschaftNational Astronomical Observatory of JapanAgencia Nacional de Investigación y DesarrolloKorea Astronomy and Space Science InstituteNational Aeronautics and Space AdministrationAgencia Estatal de InvestigaciónNational Radio Astronomy ObservatorySmithsonian InstitutionNational Science Foundation
KeywordsPhysicsAstrophysicsGalaxyHigh massGalaxy formation and evolutionPresentation (obstetrics)AstronomyMedicine

Abstract

fetched live from OpenAlex

Context. A large fraction of stars form in clusters containing high-mass stars, which subsequently influences the local and galaxy-wide environment. Aims. Fundamental questions about the physics responsible for fragmenting molecular parsec-scale clumps into cores of a few thousand astronomical units (au) are still open, that only a statistically significant investigation with ALMA is able to address; for instance: the identification of the dominant agents that determine the core demographics, mass, and spatial distribution as a function of the physical properties of the hosting clumps, their evolutionary stage and the different Galactic environments in which they reside. The extent to which fragmentation is driven by clumps dynamics or mass transport in filaments also remains elusive. Methods. With the ALMAGAL project, we observed the 1.38 mm continuum and lines toward more than 1000 dense clumps in our Galaxy, with M ≥ 500 M⊙, Σ ≥ 0.1 g cm−2 and d ≤ 7.5 kiloparsec (kpc). Two different combinations of ALMA Compact Array (ACA) and 12-m array setups were used to deliver a minimum resolution of ∼1000 au over the entire sample distance range. The sample covers all evolutionary stages from infrared dark clouds (IRDCs) to H II regions from the tip of the Galactic bar to the outskirts of the Galaxy. With a continuum sensitivity of 0.1 mJy, ALMAGAL enables a complete study of the clump-to-core fragmentation process down to M ∼ 0.3 M⊙ across the Galaxy. The spectral setup includes several molecular lines to trace the multiscale physics and dynamics of gas, notably CH3CN, H2CO, SiO, CH3OH, DCN, HC3N, and SO, among others. Results. We present an initial overview of the observations and the early science product and results produced in the ALMAGAL Consortium, with a first characterization of the morphological properties of the continuum emission detected above 5σ in our fields. We used “perimeter-versus-area” and convex hull-versus-area metrics to classify the different morphologies. We find that more extended and morphologically complex (significantly departing from circular or generally convex) shapes are found toward clumps that are relatively more evolved and have higher surface densities. Conclusions. ALMAGAL is poised to serve as a game-changer for a number of specific issues in star formation: clump-to-core fragmentation processes, demographics of cores, core and clump gas chemistry and dynamics, infall and outflow dynamics, and disk detections. Many of these issues will be covered in the first generation of papers that closely follow on the present publication.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.631
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0060.004
Open science0.0020.005
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.6310.509

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.253
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations21
Published2025
Admission routes1
Has abstractyes

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