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Record W2816606334 · doi:10.1117/12.2313157

The Maunakea Spectroscopic Explorer (MSE) telescope mount

2018· article· en· W2816606334 on OpenAlexaboutno aff
Gaizka Murga Llano, Kei Szeto, Rafael Urrutia, Steven E. Bauman, Armando Bilbao, Thomas E. Lorentz, Richard Murowinski

Bibliographic record

VenueGround-based and Airborne Telescopes VII · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstronomy and Astrophysical Research
Canadian institutionsnot available
Fundersnot available
KeywordsTelescopePhysicsRemote sensingAstronomyGeology

Abstract

fetched live from OpenAlex

The Maunakea Spectroscopic Explorer (MSE) project aims to build a 10-meter class telescope that will be fully dedicated to spectroscopic exploration of the universe. With an ability to simultaneously measure thousands of objects with a spectral resolution range spanning from 2,500 to 40,000, this one-of-a-kind facility will offer unique scientific opportunities to the astrophysics community in the study of the chemistry and dynamics of the Cosmos. Maunakea is one of the best sites in the world for astronomy and, at the same time, a culturally and environmentally sensitive area. The location of the current 3.6m Canada France Hawaii Telescope (CFHT) is arguably one of the best observation points in Maunakea, and thus, it was resolved to minimize impact on the site by redeveloping the 3.6 meter CFHT Telescope and using their former facility building and telescope pier to build and host a larger 10-meter class telescope for the MSE Project. The MSE – CFHT Corporation entrusted IDOM with the Conceptual Design of the MSE Telescope. The telescope design developed by IDOM features a novel architecture that combines well-proven and robust technologies, integrated in a telescope assembly that delivers optomechanic and mechatronic performances exceeding the 10-meter class telescopes currently in operation. The developed solution offers a very high stiffness-to-mass ratio that leads to optimal seeing performance. It also incorporates a high efficiency seismic protection system and other remarkable features.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.867
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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.259
Teacher spread0.248 · 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 designOther design
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

Citations13
Published2018
Admission routes1
Has abstractyes

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Same venueGround-based and Airborne Telescopes VIISame topicAstronomy and Astrophysical ResearchFrench-language works237,207