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Record W2564990470

The Frequency and Modal System Identification of the Balloon-borne Imaging Testbed

2015· dissertation· en· W2564990470 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTSpace (University of Toronto) · 2015
Typedissertation
Languageen
FieldEngineering
TopicAerospace Engineering and Energy Systems
Canadian institutionsnot available
Fundersnot available
KeywordsTestbedModalTelescopeRemote sensingBalloonAerospace engineeringEngineeringModal analysisPhysicsComputer scienceAcousticsOpticsGeography
DOInot available

Abstract

fetched live from OpenAlex

The Balloon-borne Imaging Testbed (BIT) is a stratospheric ballooning astronomy project that was successfully launched on September 18, 2015 from Timmins, Ontario to an altitude of 36 km over the period of one night. The design of the BIT gondola must allow the on-board telescope to maintain a constant position for an extended period of time during which the structure is subjected to external forces. Oscillations created by resonances of the gondola can prove detrimental to the resulting image quality. Therefore, the development of a modal analysis method for the gondola is explored in this thesis. This method combines simulation with measurement results to identify the modes of the system. For the gondola's external frame, the four lowest natural frequencies and their corresponding mode shapes are identified. BIT represents a new generation of balloon-borne telescopes that can produce images comparable to those of space telescopes but at significantly lower costs.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score0.997

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 studies0.0000.000
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 head0.005
GPT teacher head0.186
Teacher spread0.181 · 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