Instrumentation development for astrophysical spectro-polarimetry

Astronomy and Astrophysics – Astrophysics

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Astronomical dust particles form from cooling plasma in stellar winds, and play a significant role in many astrophysical processes from galactic evolution to the formation of stars and planets. The development of reliable models describing these processes must include a description of the particles. Despite efforts in numerous studies, many of the chemical and physical properties remain undetermined. The chemical and physical nature of dust is characterized not only by their composition, size and shape, but also by their optical properties.
Observations in the infrared are well suited for studies of these dusty environments, providing a wealth of absorption and emission bands with which to diagnose grain characteristics, and dynamics. In the near infrared, the main spectral features are the 3.1 mm H 2 O ice, 3.3 mm Polycyclic Aromatic Hydrocarbons (PAH), 3.47 mm C-H stretching mode, 3.54 mm CH 3 OH ice, and the 4.26 mm CO 2 ice. The mid infrared contains the 8.6 and 11.3 mm PAH bands, 9.7 mm amorphous Si-O stretching mode, 11.2 mm crystalline olivine, and the 12.5/ 15-16 mm solid-state hexagonal silicates. This dissertation discusses the development of SIFTIR: the Spectro-polarimetric Imaging Fourier Transform for the Infra- Red. The purpose of which will be to survey the polarization properties of dust in Asymptotic Giant Branch (AGB) stellar environments, in order to deduce physical and optical properties of the particles.
SIFTIR will build upon the advances and results in mid-IR polarimetry of TNTCAM2 achieved by the astrophysics group at the University of Denver. Whereas TNTCAM2 provided only broadband imaging polarimetry, SIFTIR will allow moderately high resolution imaging spectropolarimetry. In this wavelength region, polarization is thought to be dominated by dichroic absorption, so that polarization measurements effectively measure grain cross sections. The need for higher resolution is that the resonance features must be adequately sampled in order for grain properties to be derived.

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