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Automatic characterization of large arrays of superconducting far-infrared detectors for astronomy

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Automatic characterization of large arrays of superconducting far-infrared detectors for astronomy

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Samenvatting

The observations of the Universe in the Far Infrared (FIR) spectrum are vital to astronomers and require the use of instruments based on large arrays of cryogenic sensors like the Microwave Kinetic Inductance Detector (MKID). A MKID array has more than 1000 detectors displaced in frequency that need to be characterized. The currently implemented solution uses the Second Derivative of the frequency spectrum's amplitude. Observations showed that this method is highly susceptible to high frequency noise, making it too dependent on operators to select a correct threshold. The proposed solution uses the Continuous Wavelet Transform (CWT) to improve the signal to noise ratio of the spectrum, allowing for more stable thresholding to be performed. The algorithms were compared using real spectrum scans and simulated resonances. With an optimal configuration for both algorithms, the CWT detected 4% more resonances in the real data and simulated results prove that it can operate successfully in the presence of close to 40% more high frequency noise than the current solution. The improvements to the resonance characterization result in more efficient use of the MKID arrays under a greater variety of conditions. This allows for better FIR observations, using instruments with higher resolutions.

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OrganisatieHanzehogeschool Groningen
OpleidingAdvanced Sensor Applications
AfdelingHanze Institute of Technology
Jaar2015
TypeBachelor
TaalEngels

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