Application of a damped Locally Optimized Combination of Images method to the spectral characterization of faint companions using an Integral Field Spectrograph
Laurent Pueyo, Justin R. Crepp, Gautam Vasisht, Douglas Brenner, Ben, R. Oppenheimer, Neil Zimmerman, Sasha Hinkley, Ian Parry, Charles Beichman,, Lynne Hillenbrand, Lewis C. Roberts Jr., Richard Dekany, Mike Shao, Rick, Burruss, Antonin Bouchez, Jenny Roberts, R\'emi Soummer

TL;DR
This paper introduces 'damped LOCI', a new PSF calibration method for high-contrast integral field spectrograph data that improves the accuracy of faint companion spectra extraction without iterative spectral type assumptions.
Contribution
The paper presents a novel 'damped LOCI' algorithm that enhances spectral extraction accuracy in IFS data by modifying the PSF subtraction process to reduce bias and reliance on prior spectral information.
Findings
Demonstrated on-sky data with Palomar's Project 1640 IFS.
Achieved more precise companion spectra extraction.
Eliminated need for iterative spectral type assumptions.
Abstract
High-contrast imaging instruments are now being equipped with integral field spectrographs (IFS) to facilitate the detection and characterization of faint substellar companions. Algorithms currently envisioned to handle IFS data, such as the Locally Optimized Combination of Images (LOCI) algorithm, rely upon aggressive point-spread-function (PSF) subtraction, which is ideal for initially identifying companions but results in significantly biased photometry and spectroscopy due to unwanted mixing with residual starlight. This spectro-photometric issue is further complicated by the fact that algorithmic color response is a function of the companion's spectrum, making it difficult to calibrate the effects of the reduction without using iterations involving a series of injected synthetic companions. In this paper, we introduce a new PSF calibration method, which we call "damped LOCI", that…
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