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Record W2149485389 · doi:10.2514/6.2010-6195

Phoenix Mars Lander Mission: Thermal and CFD Modeling of the Meteorological Instrument based on Flight Data

2010· article· en· W2149485389 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venue40th International Conference on Environmental Systems · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsUniversity of AlbertaCanadian Space Agency
FundersCanadian Space Agency
KeywordsMars Exploration ProgramPhoenixAerospace engineeringMars landingEnvironmental scienceExploration of MarsComputational fluid dynamicsMeteorologyRemote sensingAstrobiologyAeronauticsGeologyEngineeringPhysicsGeography

Abstract

fetched live from OpenAlex

The Phoenix Mars Lander, launched on August 4, 2007, landed in the northern Vastitas Borealis region on May 25, 2008 and operated successfully in this harsh environment for more than five months (far beyond its planned 90-day lifespan). The Lander was equipped with instruments designed to investigate the Martian mineralogy, geochemistry and atmosphere. One of these instruments, the Canadian Meteorological Instrument (MET), has successfully measured the location and the extent of clouds, fog and dust in Mars’ lower atmosphere, as well as the gas temperature and pressure. These measurements have provided Canadian scientists a unique opportunity to study the Martian atmosphere and enhanced the understanding of Canadian expertise of the red planet. The MET instrument was composed of multiple elements in order to fulfil the science objectives. The MET Light Imaging Detection and Ranging (LIDAR) probed the atmosphere by sending out laser pulses and measuring the backscattered returns. The MET mast, instrumented with three thermocouples, measured the atmosphere temperature at three different heights; and a Telltale, installed at the tip of the mast, measured wind speed and direction. The upper Payload Electronic Box (PEB) housed the MET barometric pressure sensor and the MET main electronics. From this successful mission, substantial amounts of data were collected to satisfy the science goals, but very few data for validation and correction of the instrument measurements. In the thermal design and analysis of the MET instruments, many assumptions were made. One of the key assumptions was the determination of the proper convective heat transfer coefficients between the instrument surfaces and Martian atmosphere, applicable both inside and outside the instrument. These coefficients determined from empirical relations were then corrected using heat balance tests on Earth under simulated conditions, taking into account the difference in gravity, pressure, density and gas compositions on Mars. This paper will present the results of the thermal and Computational Fluid Dynamics (CFD) analyses of the LIDAR and the full Lander, based on environmental thermal conditions determined from meteorological measurements of the Martian atmosphere in combination with a simplified thermal atmospheric tool. Special attention will be focussed on the determination of the convective heat transfer coefficients, both through classical empirical relations and the CFD analysis.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.877
Threshold uncertainty score0.496

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 head0.054
GPT teacher head0.244
Teacher spread0.190 · 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