分类： 天文学 >> 天文学 提交时间： 2023-02-19
Sasha Hinkley
Beth Biller
Andrew Skemer
Aarynn L. Carter
Julien Girard
Dean Hines
Jens Kammerer
Jarron Leisenring
William Balmer
Elodie Choquet
Maxwell A. Millar-Blanchaer
Marshall Perrin
Laurent Pueyo
Jason Wang
Kimberly Ward-Duong
Anthony Boccaletti
Brittany Miles
Polychronis Patapis
Isabel Rebollido
Emily Rickman
摘要： We present a set of recommended best practices for JWST data collection for members of the community focussed on the direct imaging and spectroscopy of exoplanetary systems. These findings and recommendations are based on the early analysis of the JWST Early Release Science Program 1386, "High-Contrast Imaging of Exoplanets and Exoplanetary Systems with JWST." Our goal is for this information to be useful for observers in preparation of JWST proposals for Cycle 2 and beyond. In addition to compiling a set of best practices from our ERS program, in a few cases we also draw on the expertise gained within the instrument commissioning programs, as well as include a handful of data processing best practices. We anticipate that this document will be regularly updated and resubmitted to arXiv.org to ensure that we have distributed our knowledge of best-practices for data collection as widely and efficiently as possible.
分类： 天文学 >> 天文学 提交时间： 2023-02-19
Jéa I. Adams Redai
Katherine B. Follette
Jason Wang
William Balmer
Laird M. Close
Beck Dacus
Jared R. Males
Katie M. Morzinski
Joseph Palmo
Laurent Pueyo
Elijah Spiro
Helena Treiber
Kimberly Ward-Duong
Alex Watson
摘要： High-contrast imaging has afforded astronomers the opportunity to study light directly emitted by adolescent (tens of Myr) and ``proto" ($<$10Myr) planets still undergoing formation. Direct detection of these planets is enabled by empirical Point Spread Function (PSF) modeling and removal algorithms. The computational intensity of such algorithms, and their multiplicity of tunable input parameters, has led to the prevalence of ad-hoc optimization approaches to high-contrast imaging results. In this work, we present a new, systematic approach to optimization vetted using data of the high-contrast stellar companion HD 142527 B from the Magellan Adaptive Optics (MagAO) Giant Accreting Protoplanet Survey (GAPlanetS). More specifically, we present a grid search technique designed to explore three influential parameters of the PSF-subtraction algorithm pyKLIP -- annuli, movement, and KL modes. We consider multiple metrics for post-processed image quality in order to optimally recover at H$\alpha$ (656nm) synthetic planets injected into contemporaneous continuum (643nm) images. These metrics include: peak (single-pixel) SNR, average (multi-pixel average) SNR, 5$\sigma$ contrast, and false-positive fraction. We apply continuum-optimized KLIP reduction parameters to six H$\alpha$ direct detections of the low-mass stellar companion HD142527 B, and recover the companion at a range of separations. Relative to a single-informed, non-optimized set of KLIP parameters applied to all datasets uniformly, our multi-metric grid search optimization led to improvements in companion SNR of up to 1.2$\sigma$, with an average improvement of 0.6$\sigma$. Since many direct imaging detections lie close to the canonical 5$\sigma$ threshold, even such modest improvements may result in higher yields in future imaging surveys.
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