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Published June 2023 | Published
Journal Article Open

The Giant Accreting Protoplanet Survey (GAPlanetS)—Results from a 6 yr Campaign to Image Accreting Protoplanets

Abstract

Accreting protoplanets are windows into planet formation processes, and high-contrast differential imaging is an effective way to identify them. We report results from the Giant Accreting Protoplanet Survey (GAPlanetS), which collected Hα differential imagery of 14 transitional disk host stars with the Magellan Adaptive Optics System. To address the twin challenges of morphological complexity and point-spread function instability, GAPlanetS required novel approaches for frame selection and optimization of the Karhounen–Loéve Image Processing algorithm pyKLIP. We detect one new candidate, CS Cha "c," at a separation of 68 mas and a modest Δmag of 2.3. We recover the HD 142527 B and HD 100453 B accreting stellar companions in several epochs, and the protoplanet PDS 70 c in 2017 imagery, extending its astrometric record by nine months. Though we cannot rule out scattered light structure, we also recover LkCa 15 "b," at Hα; its presence inside the disk cavity, absence in Continuum imagery, and consistency with a forward-modeled point source suggest that it remains a viable protoplanet candidate. Through targeted optimization, we tentatively recover PDS 70 c at two additional epochs and PDS 70 b in one epoch. Despite numerous previously reported companion candidates around GAplanetS targets, we recover no additional point sources. Our moderate Hα contrasts do not preclude most protoplanets, and we report limiting Hα contrasts at unrecovered candidate locations. We find an overall detection rate of ∼36⁺²⁶₋₂₂%, considerably higher than most direct imaging surveys, speaking to both GAPlanetS's highly targeted nature and the promise of Hα differential imaging for protoplanet identification.

Additional Information

© 2023. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. We would like to thank the anonymous referee for providing supportive and constructive suggestions for improving this manuscript. K.B.F., W.O.B., J.A., J.M., and C.S. acknowledge funding from NSF-AST-2009816. K.B.F.'s work on this project was also supported by a NASA Sagan fellowship. L.M.C.'s and K.B.F.'s work was supported in part by NASA Exoplanets Research Program (XRP) grants 80NSSC18K0441 and 80NSSC21K0397 and NSF-AAG-1615408. The MagAO system would not have been possible without construction support from the NSF MRI and ATI programs (MRI-0321312, ATI-1206422, ATI-1506818). W.O.B. thanks the LSSTC Data Science Fellowship Program, which is funded by LSSTC, NSF Cybertraining grant No. 1829740, the Brinson Foundation, and the Moore Foundation; their participation in the program has benefited this work. K.M.M.'s work has been supported by the NASA XRP by cooperative agreement NNX16AD44G. K.W. acknowledges support from NASA through the NASA Hubble Fellowship grant HST-HF2-51472.001-A awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Incorporated, under NASA contract NAS5-26555. This paper includes data gathered with the 6.5 m Magellan Telescopes located at Las Campanas Observatory, Chile. We thank T. J. Rodigas for his help in collecting some of the data reported in this work. This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC; https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. We would like to acknowledge the land that the observations used in this paper were taken from. Las Campanas Observatory, and the Magellan Clay Telescope, are built on Diaguita land. More on the Diaguita is available from the Museo Chileno de Arte Precolombino: http://precolombino.cl/en/culturas-americanas/pueblos-originarios-de-chile/diaguita/. Facility: Magellan (MagAO). - Software: astropy (Astropy Collaboration et al. 2013, 2018), emcee (Foreman-Mackey et al. 2013), photutils (Bradley et al. 2020), ptemcee (Vousden et al. 2016), pyklip (Wang et al. 2015).

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Additional details

Created:
August 22, 2023
Modified:
October 20, 2023