Description

Signal-to-noise (SNR) is a key driving specification of the payload. The higher the number, the better our camera is at doing its job: acquiring a spectrum.

TODO

• [x] Research a way to experimentally measure the SNR of a hyperspectral imaging camera.
• [x] Document the test plan in Signal-to-Noise Measurement.
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Artifacts

Signal-to-Noise Measurement

Notes

Mathematical Modelling for SNR Signal-to-Noise

• SNR equations (broken up into Signal and Noise) and derivations

Maggie’s Payload Verification Plan https://docs.google.com/document/d/1SshDxI9InHiAlE5Tu84_Cqo4g86HLmFdmC2XYSTgwpw/edit?usp=sharing

• Read through, relevant sections for SNR are spectral response testing and dark noise testing

10/21 - Jennifer and Madina meet to go over SNR equation and derivation, outline next steps:

• message Maggie and ask about test plan timeline/scope of test plan
  • We’re working on a project for Optics, developing the test plan for measuring SNR
  • Looked through payload verification plan
  • Pretty comprehensive, are there any parts that need to be fleshed out or anything we can help with in terms of developing the test plan?
  • Timeline for TVAC testing/when facility is available
  • Could we meet next Saturday during worksession to go over spectral accuracy test plan?
• start on SNR measurement test plan Signal-to-Noise Measurement

11/10 - Jennifer, Madina, Maggie

• sensor is CMOS array of photodiodes arranged in a matrix, light-sensitive
• current from each pixel goes directly to circuit, get the intensity of each pixel