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Massachusetts Institute of Technology

A root cause analysis of REXIS detection efficiency loss during phase E operations

Abstract

dc:description.abstract

The Regolith X-ray Imaging Spectrometer (REXIS) is a student-built instrument flown on NASA's Origins, Spectral Interpretation, Resource Identification, Safety, Regolith Explorer (OSIRIS-REx) mission. During main science operations, the instrument experienced detector efficiency loss in the form of loss of iron calibration source counts, which greatly affected the science output. In this thesis, a root cause investigation is performed on the loss of iron counts, and an optical light leak onto the edge of the instrument's detectors is identified as the most likely cause. A CAST analysis is then performed to identify possible organizational and cultural causes of the design that allowed for an optical light leak, and recommendations for future similar instruments (low-cost, high-risk) are made.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lambert, Madeline(Madeline Marie)
Advisor dc:contributor.advisor
  • Rebecca Masterson.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/127077
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/127077

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Lambert, Madeline(Madeline Marie). A root cause analysis of REXIS detection efficiency loss during phase E operations. Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127077