Speckle Suppression with the Project 1640 Integral Field Spectrograph

Autor: Crepp, Justin R., Pueyo, Laurent, Brenner, Douglas, Oppenheimer, Ben R., Zimmerman, Neil, Hinkley, Sasha, Parry, Ian, King, David, Vasisht, Gautam, Beichman, Charles, Hillenbrand, Lynne, Dekany, Richard, Shao, Mike, Burruss, Rick, Roberts Jr., Lewis C., Bouchez, Antonin, Roberts, Jenny, Soummer, Remi
Rok vydání: 2010
Předmět:
Druh dokumentu: Working Paper
DOI: 10.1088/0004-637X/729/2/132
Popis: Project 1640 is a high-contrast imaging instrument recently commissioned at Palomar observatory. A combination of a coronagraph with an integral field spectrograph (IFS), Project 1640 is designed to detect and characterize extrasolar planets, brown dwarfs, and circumstellar material orbiting nearby stars. In this paper, we present our data processing techniques for improving upon instrument raw sensitivity via the removal of quasi-static speckles. Our approach utilizes the chromatic image diversity provided by the IFS in combination with the locally-optimized combination of images (LOCI) algorithm to suppress the intensity of residual contaminating light in close angular proximity to target stars. We describe the Project 1640 speckle suppression pipeline (PSSP) and demonstrate the ability to detect companions with brightness comparable to and below that of initial speckle intensities using on-sky commissioning data. Our preliminary results indicate that suppression factors of at least one order of magnitude are consistently possible, reaching $5\sigma$ contrast levels of $2.1\times10^{-5}$ at $1\arcsec$ in the H-band in 20 minutes of on-source integration time when non-common-path errors are reasonably well-calibrated. These results suggest that near-infrared contrast levels of order $\approx10^{-7}$ at subarcsecond separations will soon be possible for Project 1640 and similarly designed instruments that receive a diffraction-limited beam corrected by adaptive optics (AO) systems employing deformable mirrors with high actuator-density.
Comment: accepted to ApJ
Databáze: arXiv