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Numerical optimization of integrating cavities for diffraction-limited millimeter-wave bolometer arrays
Jason Glenn1, Goutam Chattopadhyay, Samantha F Edgington
1Center for Astrophysics and Space Astronomy, University of Colorado, Boulder 80309, USA. jglenn@casa.colorado.edu
Applied Optics
|March 20, 2002
Summary
Optimizing integrating cavities for far-infrared bolometers enhances astronomical observations. Simulations show high absorption efficiency and minimal crosstalk, crucial for next-generation array cameras like Bolocam.
Area of Science:
- Astrophysics
- Optical Engineering
- Detector Physics
Background:
- Far-infrared to millimeter-wave bolometers are essential for astronomical observations.
- Integrating cavities enhance radiation absorption and minimize stray light in photometers.
- Future astronomical arrays will utilize hundreds of silicon nitride micromesh bolometers.
Purpose of the Study:
- To optimize integrating cavity designs for maximizing sensitivity in bolometer arrays.
- To investigate the electromagnetic fields within plane-parallel integrating cavities.
- To evaluate cavity performance for the Bolometer Array Camera (Bolocam) at 214 GHz.
Main Methods:
- Numerical simulations of electromagnetic fields in infinite plane-parallel integrating cavities.
- Modeling cavities with a solid reflecting backshort and feedhorn array block back surface.
- Comparison of simulation results with experimental data from a room-temperature model and Bolocam performance.
Main Results:
- Achieved monochromatic absorptions as high as 95% with less than 1% crosstalk.
- Identified optimal absorber impedances around 400 ohms/sq, with a broad maximum (150-700 ohms/sq).
- Determined that maximum absorption requires absorber diameters greater than or equal to 1.5 times the wavelength (λ).
Conclusions:
- The simulated integrating cavity design shows high absorption efficiency and low crosstalk.
- The findings provide critical parameters for optimizing bolometer cavity design for enhanced sensitivity.
- Good agreement between simulations and experimental data validates the modeling approach.