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Record W4285586064 · doi:10.1117/12.2633827

New views in the ultraviolet of the Andromeda galaxy enabled by the AstroSAT/UVIT telescope

2022· article· en· W4285586064 on OpenAlexaff
D. A. Leahy, J. Postma, Megan Buick, Cameron Leahy, Traian Craiciu

Bibliographic record

VenueSpace Telescopes and Instrumentation 2022: Ultraviolet to Gamma Ray · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdaptive optics and wavefront sensing
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAndromedaPhysicsAndromeda GalaxyAstrophysicsGalaxyAstronomyStarsBulgePhotometry (optics)TelescopeSpiral galaxyMilky Way

Abstract

fetched live from OpenAlex

The UVIT instrument on AstroSat has carried out a survey of our neighboring Andromeda galaxy, with a set of 19 fields to cover its large angular extent. The survey is complete in the FUV F148W filter, and about halfcomplete in FUV F169M, FUV F172M, NUV N219M and NUV N279N filters. The NUV coverage is incomplete due to failure of the NUV detector partway through the AstroSat mission. The survey and its scientific results are reviewed, with emphasis on the most recent results. From the Andromeda survey, catalogs of point sources in the FUV and NUV filters have been created. Young stars have been detected in the bulge. FUV and NUV counterparts of the X-ray sources in Andromeda were identified and are predominantly globular clusters. Clusters from the HST/Pan-Andromeda Hubble Treasury (PHAT), which covers a large part of the NE half of the galaxy, have been identified in UVIT FUV and NUV and characterized using their multi-band FUV to IR photometry. FUV variable stars have been identified in Andromeda observations with exposures separated by a few years, and cross-matched with hot stars. The Andromeda bulge has been characterized in FUV and NUV wavelengths for the first time, including measurement of structural parameters and modelling of the star formation and metallicity history of the bulge.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.526
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.235
Teacher spread0.225 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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