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Automation of MKID Simulations for Array Building with AEM (Automated Electromagnetic MKID Simulations).

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Automated Electromagnetic MKID simulations (AEM) software designs superconducting photon detectors, increasing pixel yield and accuracy. This tool avoids interpolation, ensuring optimal performance for large detector arrays.

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Area of Science:

  • Superconducting detector technology
  • Electromagnetic simulation for astrophysics

Background:

  • Microwave Kinetic Inductance Detectors (MKIDs) are superconducting LC resonators used for photon detection.
  • Each MKID pixel has a unique geometry, making manual electromagnetic simulation of large arrays impractical.
  • Interpolating simulations from a limited subset of pixels risks reduced array yield due to overlapping resonant frequencies.

Purpose of the Study:

  • To introduce Automated Electromagnetic MKID simulations (AEM) software for automating MKID design.
  • To improve pixel yield and accuracy in large-scale MKID arrays.
  • To eliminate the need for interpolation in MKID array simulations.

Main Methods:

  • Developed AEM software to automate the construction and electromagnetic simulation of MKID pixels.
  • Specified resonant frequencies and Q-factor ranges for automated pixel design.
  • Compared automated designs against interpolated structures for yield and accuracy.

Main Results:

  • Automated designs using AEM demonstrated increased pixel yield by avoiding interpolation losses.
  • AEM-designed MKIDs showed improved accuracy in resonance frequency and Q-factor values compared to interpolated designs.
  • A simulated trial of AEM for 100 MKIDs (4-8 GHz) achieved ±0.2 MHz accuracy within 10 hours 45 minutes.

Conclusions:

  • AEM software effectively automates the design and simulation of MKID arrays.
  • Automated design significantly enhances pixel yield and simulation accuracy for large MKID arrays.
  • AEM provides a practical solution for designing high-performance superconducting photon detectors.