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Record W4286423466 · doi:10.1117/12.2643009

FORECASTOR: an exposure time calculator for the CASTOR space mission simulating UVMOS spectroscopy

2022· article· en· W4286423466 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSpace Telescopes and Instrumentation 2022: Ultraviolet to Gamma Ray · 2022
Typearticle
Languageen
FieldEngineering
TopicPhotocathodes and Microchannel Plates
Canadian institutionsNational Research Council CanadaUniversity of Victoria
Fundersnot available
KeywordsCalculatorPhysicsRemote sensingSpace Telescope Imaging SpectrographComputer scienceAstronomyOpticsHubble space telescopeGalaxyGeography

Abstract

fetched live from OpenAlex

The Cosmological Advanced Survey Telescope for optical and UV research (CASTOR) is a proposed Canadian Space Agency-led mission that will provide wide-field imaging and spectroscopy in the ultraviolet and blue optical region. CASTOR will fill the “UV-optical gap” in space astronomy after the Hubble Space Telescope, enabling new discovery opportunities in the solar system and beyond to the nature of the cosmos, especially in partnership with the other great wide-field observatories of the next decade (e.g., Euclid, Roman, Rubin). Here, we expand on FORECASTOR (finding optics requirements and exposure times for CASTOR), a coordinated suite of science planning tools for the CASTOR mission. We describe a pixel-based, user-friendly, exposure time calculator for the UVMOS spectroscopic mode, complementary to the photometric exposure time calculator developed earlier this year. These open-source tools are hosted on the Canadian advanced network for astronomical research for community use with no configuration required.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.411
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.010
GPT teacher head0.241
Teacher spread0.231 · 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