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Enregistrement W4400288054 · doi:10.5194/epsc2024-1142

Mars Sample Return (MSR) Sample Receiving Project (SRP) Measurement Definition Team (MDT-1): Overview and Status

2024· preprint· en· W4400288054 sur OpenAlexaff
E. Sefton‐Nash, Brandi L. Carrier, Heather V. Graham, T. Haltigin, Chris Herd, D. M. Paardekooper, Michelle A. Viotti

Notice bibliographique

Revuenon disponible
Typepreprint
Langueen
DomainePhysics and Astronomy
ThématiquePlanetary Science and Exploration
Établissements canadiensUniversity of AlbertaCanadian Space Agency
Organismes subventionnairesnon disponible
Mots-clésMars Exploration ProgramSample (material)AstrobiologyEnvironmental sciencePhysics

Résumé

récupéré en direct d'OpenAlex

Introduction: The planned NASA-ESA Mars Sample Return (MSR) Campaign is a multi-mission effort intended to bring scientifically selected samples of Mars rock cores, regolith, and atmosphere to Earth for the purpose of scientific investigation and discovery. The Mars 2020 Perseverance Rover is collecting a stunningly diverse set of samples for potential return. and the planning for the missions to retrieve and deliver the samples is underway.The currently envisaged high containment facility to which the samples would initially be delivered is referred to as the Sample Receiving Facility (SRF). It is strongly preferred to do as many measurements on the samples as possible in existing laboratories outside of containment for reasons including scientific quality and cost, but certain measurements will be needed to be made within the SRF. Sample investigations within the SRF would need to be carried out in support of the following three elements:Initial Sample Characterization: required to plan properly for the optimized use of the samples for curation, safety, and scientific purposes (for a recent summary, see [1]);Safety Assessment: implement a protocol derived from the Sample Safety Assessment Framework [2];Science Investigations: support time-sensitive [3] and sterilization-sensitive [4] investigations that cannot be done using sterilized samples outside of high containment.To minimize the footprint, cost, and complexity of the SRF in handling the samples from Mars, it is crucial to define properly the minimum set of investigations, measurements, instrumentation, and operations concept required to cover the initial characterization, safety assessment, and science investigation needs.NASA and ESA appointed the international Measurement Definition Team Phase 1 (MDT-1). While the overall process of the MDT is similar to traditional Science Definition Teams (SDTs), the scope of this MDT is distinct because they must focus on the specifics of the measurement implementation plan, as well measurements needed for sample characterization and planetary protection. MDT-1 Statement of Task: The MDT was asked to perform four tasks (Figure 1):Overarching Investigation Strategy​: Determine options and priorities for activities inside and outside the SRF, providing a narrative rationale for the scientific basis underpinning the proposed investigations. ​ Measurement Traceability Matrices​: Develop traceability matrices flowing from objectives to investigations to measurements and required capabilities within the SRF.​ Reference Instruments: Provide descriptions of proposed suites of instruments capable of collecting the needed measurements, as well as interface requirements and any special accommodation considerations.​ Concept of Operations (ConOps)​: Describe a feasible model concept of operations for activities to be conducted within the SRF that will maximize overall science return. Figure 1. Generalized flow chart of MDT-1 Tasks.MDT Composition: The MDT-1 committee consists of twenty competitively selected members of the international science community, co-chaired by Heather Graham and Chris Herd, an executive team consisting of Project Science representatives, and six ex-officio members representing NASA and ESA curation, the Centre for Disease Control (CDC), and liaisons with the Sample Safety Assessment Protocol Tiger Team (SSAP-TT).MDT Process and Status: The essential deliverables of MDT are achieved via the sequential flow of Tasks 1-4 (Fig. 1), the starting point for which is a baseline set of science objectives. At a high-level, there are four proposed science objectives of Mars Sample Return, each of which are elaborated to form a total set of 17 proposed sub-objectives. These were formulated by the MSR Campaign Science Group (MCSG) [5], by adapting and building on proposed objectives laid out by numerous prior studies (e.g. [6]).Since September 2023, MDT has first elaborated each of the 17 sub-objectives into specific research questions (Task 1), which were used to define specific measurements that can address them (Task 2).A key step in MDT’s workflow has been to establish and apply logic to determine whether a measurement would need to be done inside the SRF. The model conceived produces a minimum set of measurements to be done in the SRF such that the scientific integrity of samples is preserved, and thus science objectives may be addressed.Figure 2. Logic for determining whether a measurement must be done within the SRF (i.e. within biocontainment).Measurements determined necessary to be in the SRF were then grouped and linked to the corresponding set of reference instruments and complemented with additional information, including measurement performance requirements, sample preparation needs, instrument accommodation considerations and sample mass requirements. With the resulting dataset, fully backward traceable to measurements, investigations and science objectives, Task 4 (ConOps) was addressed.Two aspects required specific treatment in MDTs work plan: 1. Work by the SSAP-TT resulted in measurement requirements that are incorporated into MDT’s traceability matrix. Members of SSAP-TT and MDT-1 worked closely together to ensure that accurate and complete information was incorporated into measurement traceability. 2. Measurements necessary for initial sample characterization (e.g. box in Fig. 2) were established via a dedicated analysis of what sample properties must be known to properly allocate sub-samples for all the scientific investigations. Disclaimer: The decision to implement Mars Sample Return will not be finalized until NASA’s completion of the National Environmental Policy Act (NEPA) process. This document is being made available for informational purposes only.References[1] Tait, K. T. et al. (2022). Preliminary Planning for Mars Sample Return (MSR) Curation Activities in a Sample Receiving Facility (SRF). Astrobiology, 22(S1), S-57-S-80. https://doi.org/10.1089/ast.2021.0105[2] Kminek, G. et al., (2022). COSPAR Sample Safety Assessment Framework (SSAF). Astrobiology, 22(S1), S186–S216. https://doi.org/10.1089/ast.2022.0017[3] Tosca, N. J. et al., (2022). Time-Sensitive Aspects of Mars Sample Return (MSR) Science. Astrobiology, 22(S1), S-81-S-111. https://doi.org/10.1089/ast.2021.0115[4] Velbel, M. A. et al. (2022). Planning Implications Related to Sterilization-Sensitive Science Investigations Associated with Mars Sample Return (MSR). Astrobiology, 22(S1), S112–S164. https://doi.org/10.1089/ast.2021.0113[5] MSR Campaign Science Group (MCSG) (2024). Mars Sample Return Campaign Science Objectives for the MSR Sample Receiving Project., 10th International Conference on Mars, Pasadena CA, USA.[6] Beaty, D. W. et al., (2019). The potential science and engineering value of samples delivered to Earth by Mars sample return: International MSR Objectives and Samples Team (iMOST). Meteoritics and Planetary Science, 54(S1), S3–S152. https://doi.org/10.1111/maps.13242

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,025
score de la tête « metaresearch » (Gemma)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,025
Score d'incertitude au seuil0,135

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0250,009
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0050,005
Études des sciences et des technologies0,0020,001
Communication savante0,0050,006
Science ouverte0,0040,005
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0120,014

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,108
Tête enseignante GPT0,284
Écart entre enseignants0,176 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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