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Record W1515224964 · doi:10.4271/2000-01-2273

Hubble Space Telescope Servicing Mission 3A Thermal Timeline Analysis

2000· article· en· W1515224964 on OpenAlexaff
Melissa J. Fasold, C.E. Mineo

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2000
Typearticle
Languageen
FieldEngineering
TopicSpacecraft Design and Technology
Canadian institutionsLockheed Martin (Canada)
FundersGoddard Space Flight Center
KeywordsTimelineHubble space telescopeSpace (punctuation)Space observatoryComputer scienceHubble Deep FieldAstronomyPhysicsOperating systemGeographyStars

Abstract

fetched live from OpenAlex

<div class="section abstract"><div class="htmlview paragraph">This paper presents an overview of the thermal analysis and results of the Hubble Space Telescope (HST) Servicing Mission 3A (SM3A). The shuttle mission took place from December 19-27, 1999, with the servicing mission taking place December 21-25, 1999. During the mission, several components were replaced during three planned Extra Vehicular Activities (EVAs). Also, a New Outer Blanket Layer (NOBL) was installed on several bays to repair the damage to the Multi-layer Insulation (MLI) that was seen during Servicing Mission 2.</div><div class="htmlview paragraph">The timeline analysis predicts temperatures for all HST installed hardware in order to determine if they will remain within their temperature limits for the duration of Servicing Mission 3A. The maximum electrical power required by the HST while attached to the Orbiter is predicted and compared to the documented maximum. The analysis is done using two models, the Forward Section of the HST including all equipment bays and Solar Arrays, and the Aft Shroud of the HST including all axial and radial instruments. The divisions of HST can be seen in <span class="xref">Figure 1</span>. Fourteen different HST and shuttle attitudes or orientations were analyzed and integrated into the thermal math models, as well as over one hundred instrument and electronics configuration changes incorporated as outlined in the mission timeline. The two models use the same orientations and mission timeline but the analysis is conducted separately using different thermal computer codes. The results of the preflight analysis have been documented for use during the mission, and will be compared to the mission actual temperatures.</div></div>

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.971
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.008
GPT teacher head0.223
Teacher spread0.215 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
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
Published2000
Admission routes1
Has abstractyes

Explore more

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