MétaCan
Menu
Back to cohort
Record W2751081621 · doi:10.1117/12.2283823

Design of a mechanically actuated reconfigurable slitmask for the NGST near IR spectrograph

2017· article· en· W2751081621 on OpenAlexaffabout
Darren Erickson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstronomy and Astrophysical Research
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsSpectrographMars Exploration ProgramJames Webb Space TelescopeActuatorPhysicsCardinal pointSubaru TelescopeControl reconfigurationTelescopeOpticsAerospace engineeringEngineeringElectrical engineeringAstronomyEmbedded system

Abstract

fetched live from OpenAlex

The National Research Council of Canada, Herzberg Institute of Astrophysics has been developing a reconfigurable slitmask intended for the NGST near IR spectrograph. The Mechanically Actuated Reconfigurable Slitmask (MARS) creates 50 slits in the telescope focal plane. The slit location and width are adjustable, but the height is fixed. Reconfiguration of the mask components is achieved using a combination of electromagnetic and piezoelectric actuators. This actuation scheme has undergone structural, electrical, thermal and magnetic analysis. Several prototype components have also been built and tested. This analysis and testing indicates that the MARS device represents a viable concept for creating slits within the NGST near IR spectrograph.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.038
GPT teacher head0.304
Teacher spread0.266 · 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 designBench or experimental
Domainnot available
GenreMethods

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
Published2017
Admission routes2
Has abstractyes

Explore more

Same topicAstronomy and Astrophysical ResearchFrench-language works237,207