PRECISION: A fast python pipeline for high-contrast imaging -- application to SPHERE observations of the red supergiant VX Sagitariae

P. Scicluna, F. Kemper, R. Siebenmorgen, R. Wesson, Joris Blommaert, S. Wolf

Research output: Contribution to journalArticle

Abstract

The search for extrasolar planets has driven rapid advances in instrumentation, resulting in cameras such as SPHERE at the VLT, GPI at Gemini South and SCExAO at Subaru, capable of achieving very high contrast (∼106) around bright stars with small inner working angles (∼0.1 arcsec). The optimal exploitation of data from these instruments depends on the availability of easy-to-use software to process and analyse their data products. We present a pure-PYTHON pipeline, PRECISION, which provides fast, memory-efficient reduction of data from the SPHERE/IRDIS near-infrared imager, and can be readily extended to other instruments. We apply PRECISION to observations of the extreme red supergiant VX Sgr, the inner outflow of which is revealed to host complex, asymmetric structure in the near- IR. In addition, optical polarimetric imaging reveals clear extended polarized emission on ∼0.5 arcsec scales that varies significantly with azimuth, confirming the asymmetry. While not conclusive, this could suggest that the ejecta are confined to a disc or torus, which we are viewing nearly face on, although other non-spherical or clumpy configurations remain possible. VX Sgr has no known companions, making such a geometry difficult to explain, as there is no obvious source of angular momentum in the system.

Original languageEnglish
Article number471
Pages (from-to)3200-3211
Number of pages12
JournalMonthly Notices of the Royal Astronomical Society
Volume494
Issue number3
DOIs
Publication statusPublished - 9 Mar 2020

Bibliographical note

13 pages, 5 figures. Accepted by MNRAS

Keywords

  • astro-ph.SR
  • astro-ph.EP
  • astro-ph.GA
  • astro-ph.IM

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