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Record W2329041693 · doi:10.2514/6.2015-4552

Impact of Atmospheric Perturbation on Dynamics of Space Tether Systems

2015· article· en· W2329041693 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.

Bibliographic record

VenueAIAA SPACE 2015 Conference and Exposition · 2015
Typearticle
Languageen
FieldEngineering
TopicSpace Satellite Systems and Control
Canadian institutionsYork University
Fundersnot available
KeywordsPerturbation (astronomy)Aerospace engineeringAtmospheric modelEnvironmental scienceComputer scienceAstrobiologyPhysicsRemote sensingAtmospheric sciencesMeteorologyGeologyEngineeringAstronomy

Abstract

fetched live from OpenAlex

This paper studies the impact of atmospheric perturbations on the dynamics of space tether systems using the recent atmosphere models. The dynamic behavior of space tether systems is directly affected by the atmospheric drag perturbations. Models of the atmosphere around the Earth have always been important to a complete study of space tether systems especially in the estimation of atmosphere drag. However, many existing studies employ models that have not accounted for recently discovered phenomena in the atmosphere. As such, the estimates of atmospheric density derived from these models can be improved. In the present work, we show how the new models of the atmosphere differ from the models commonly used in the dynamic analysis of space tether systems and how these changes influence the dynamic behavior of space tether systems in the station-keeping phase. The models under consideration in this paper are the Jacchia-Bowman 2008 (JB2008) model and the Drag Temperature Model 2013 (DTM-2013). In the first part of the paper, we briefly discuss the predecessor models which have been derived either empirically or semiempirically. We discuss the introduction of new solar proxies and new geomagnetic indices which were obtained from data made available from satellites such as CHAMP, GRACE, Stella, Starlette and GOCE and ground-based instruments. The second part of the paper involves the application of the JB2008 model and the DTM-2013 model to a space tether system. The new models will give us an estimate of the density of the atmosphere and, thus, an estimate of the drag acting on the space tether system. We incorporate these values of density into our model for a space tether system and compare them with the results from our previous model using a simple atmosphere model. This helps us determine whether the new models of the atmosphere have a significant impact on the prediction of dynamic behavior of a space tether system. These simulations for the model of the space tether system in different atmospheric models are performed in MATLAB/Simulink and the results are demonstrated accordingly.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.493
Threshold uncertainty score0.557

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 head0.013
GPT teacher head0.232
Teacher spread0.220 · 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