MétaCan
Menu
Back to cohort
Record W7132969177

Geometric and Access Time Utilities for a Payload Operations Planning Software

2023· dissertation· W7132969177 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

VenueTSpace · 2023
Typedissertation
Language
FieldEngineering
TopicSpacecraft Design and Technology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPayload (computing)SoftwareSpacecraftSatelliteScheduleGround segmentSatellite constellationPolygon (computer graphics)Computation
DOInot available

Abstract

fetched live from OpenAlex

The Payload Operations Planning Software is a tool that satellite mission operators use for handling the deterministic aspects of mission operations, which include schedule validation and searching for observation opportunities. The software is applicable to any Earth observation satellite mission. This work presents the design and implementation of two modules within the planning software, namely the Geometric Utilities and the Access Time Utilities. The Geometric Utilities perform calculations involving ellipsoidal polygons representing area regions on Earth’s surface, spacecraft sensor fields, and specular reflections on Earth’s surface. The Access Time Utilities compute the periods of access between a spacecraft and objects of interest, which are ground stations, ground targets, latitude ranges, polygon areas, and specular points. Both modules are integral to finding observation opportunities. A Technology Demonstration Mission with radio frequency sensing, bistatic radar, and imaging capability is used as an example for describing design and development.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.564
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.045
GPT teacher head0.356
Teacher spread0.311 · 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