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Record W6930902251 · doi:10.5281/zenodo.3758367

Star Formation in the Galactic Ecosystem

2019· article· en· W6930902251 on OpenAlexaffabout

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsMcMaster UniversityQueen's UniversityUniversity of British Columbia
Fundersnot available
KeywordsStar formationGalaxyGalaxy formation and evolutionProtogalaxyStar (game theory)Interstellar medium

Abstract

fetched live from OpenAlex

Over the next decade, the Canadian community will play a leading role in answering key questions about the interaction between star formation and galaxy evolution. These opportunities flow from a productive decade since LRP 2010 that has yielded new insights into the connections between how stars form and their local galactic environment. All these past and future advances have capitalized upon a broad suite of instrumental access from the long-wavelength radio to the ultraviolet. Galaxy evolution and star formation have traditionally been distinct subfields within astronomy, but the work since LRP 2010 has shown that the two are intimately connected. The buildup of the star forming main sequence and quenching of galaxies are both driven by star formation. Reciprocally, studies have also revealed that a galaxy's mass and morphology regulate the efficiency of ongoing star formation within it. These variations in efficiency are only now being clearly linked to changes in the properties of the star forming molecular medium and the conditions in the galactic interstellar medium. Over the next ten years, we will make a physically motivated connection between star formation and the broader galactic environment. This work focuses around five key questions and the survey-driven approaches that will enable Canadian researchers to come to clear answers over the next decade: How are ISM conditions and individual star formation events influenced by the galactic environment? We are carrying out the surveys of galaxy populations needed to make a census of ISM conditions across a statistically significant number of galaxies. These focus on careful work in the Milky Way and nearby galaxies where individual star formation events can be discerned. What processes regulate the formation of the molecular ISM and its organization into massive structures? Surveying a broad range of galactic environments is also a key data set for addressing this question, but this must also be done using new tracers to access obscured physics. Specifically, we will need good access to the submillimetre so we can execute high quality polarization measurements for studying the magnetic field and fine structure lines ([CI], [OI], [CII]) to trace the material being channeled into star forming clouds. What processes disrupt the neutral ISM leading to the quenching of galaxies? We will make surveys of Galactic and extragalactic star forming regions across the wavebands to calibrate how stars inject momentum and energy into their host galaxy ISM. We will establish how this feedback depends on local star formation properties, including the including cluster mass function. How does local star formation relate to the different mode of star formation seen in z>2 Universe? Studies of lensed systems, notably with ALMA, allow for resolved studies of a different mode of star formation in galactic assembly. However, these studies rely on tracers that are difficult to observe without new access to the submillimetre and far infrared. Through local mapping of the tracers typically used in high redshift studies, we can resolve how these tracers are influenced by local conditions, providing a better calibration of the properties in distant systems. How does the galactic environment predict other aspects of the star formation process beyond the star formation rate? Multiwaveband surveys will also extend our studies beyond simply answering how the star formation rate changes, turning to questions of variations in the initial mass function, the initial cluster mass function, and binary property distributions. To address these central questions in the next decade requires that we maintain and expand our access to a broad suite of observational facilities. In particular, we must remain actively engaged with ALMA, which is still in its early stages of discovery. We must also continue strong investment in high-performance computing necessary to carry out the expensive, multi-physics simulations of star formation in a galactic context. We continue to require access to single-dish radio to submillimetre facilities such as CCAT-p, the JCMT, and the GBT, and the DRAO Synthesis Telescope to carry out wide area mapping of our own Galaxy. ALMA should not be regarded as a replacement for this class of observatory. Finally, participating in next generation radio interferometers, namely the SKA and ngVLA, are needed to carry out resolved surveys of star formation and the interstellar medium beyond the nearest galaxies.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.506
Threshold uncertainty score0.994

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.007
Scholarly communication0.0080.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.019
GPT teacher head0.218
Teacher spread0.199 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2019
Admission routes2
Has abstractyes

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