Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/8305
Title: Simulating medium-spectral-resolution exoplanet characterization with SCALES angular/reference differential imaging
Authors: Desai, Aditi
Sallum, Stephanie E
Banyal, R. K
Batalha, Natalie
Batalha, Natasha
Blake, Geoff
Brandt, Tim
Briesemeister, Zack
Kleer, Katherine de
Pater, Imke de
Eisner, Josh
Fong, Wen-fai
Greene, Tom
Honda, Mitsuhiko
Kain, Isabel
Kilpatrick, Charlie
Lach, Mackenzie
Liu, Mike
Macintosh, Bruce
Martinez, Raquel A
Mawet, Dimitri
Miles, Brittany
Morley, Caroline
Powell, Diana
Sheehan, Patrick
Skemer, Andrew J
Spilker, Justin
Stelter, R. Deno
Stone, Jordan
Surya, Arun
Sivarani, T
Wagner, Kevin
Zhou, Yifan
Keywords: SCALES
High-contrast spectroscopy
Exoplanet characterization
ADI
RDI
Issue Date: Oct-2023
Publisher: SPIE-The International Society for Optical Engineering
Citation: Proceedings of the SPIE, Vol. 12680, pp. 1268023 7
Abstract: SCALES (Slicer Combined with Array of Lenslets for Exoplanet Spectroscopy) is a 2 - 5 micron high-contrast lenslet-based integral field spectrograph (IFS) designed to characterize exoplanets and their atmospheres. The SCALES medium-spectral-resolution mode uses a lenslet subarray with a 0.34 x 0.36 arcsecond field of view which allows for exoplanet characterization at increased spectral resolution. We explore the sensitivity limitations of this mode by simulating planet detections in the presence of realistic noise sources. We use the SCALES simulator scalessim to generate high-fidelity mock observations of planets that include speckle noise from their host stars, as well as other atmospheric and instrumental noise effects. We employ both angular and reference differential imaging as methods of disentangling speckle noise from the injected planet signals. These simulations allow us to assess the feasibility of speckle deconvolution for SCALES medium resolution data, and to test whether one approach outperforms another based on planet angular separations and contrasts.
Description: Restricted Access
URI: http://hdl.handle.net/2248/8305
ISSN: 0277-786X
Appears in Collections:IIAP Publications



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