Abell 41: shaping of a planetary nebula by a binary central star?
D. Jones (1), M. Lloyd (1), M. Santander-Garc\'ia (2,3,4), J.A., L\'opez (5), J. Meaburn (1), D.L. Mitchell (1), T.J. O'Brien (1), D. Pollacco, (6), M.M. Rubio-D\'iez (7,2), N.M.H. Vaytet (8) ((1) Jodrell Bank Centre for, Astrophysics (JBCA), (2) Isaac Newton Group (ING)

TL;DR
This study provides the first detailed spatio-kinematical analysis of Abell 41, demonstrating that its bipolar shape is aligned with the binary star system at its center, supporting theories of binary influence on nebula shaping.
Contribution
It offers the first observational confirmation that the nebula's symmetry axis is perpendicular to the binary star plane, validating key predictions of planetary nebula evolution theories.
Findings
Abell 41 has a waisted, bipolar structure with ~40 km/s expansion velocity.
The nebula's symmetry axis is within 5° of perpendicular to the binary plane.
This is only the second nebula with confirmed binary-shaping alignment.
Abstract
We present the first detailed spatio-kinematical analysis and modelling of the planetary nebula Abell 41, which is known to contain the well-studied close-binary system MT Ser. This object represents an important test case in the study of the evolution of planetary nebulae with binary central stars as current evolutionary theories predict that the binary plane should be aligned perpendicular to the symmetry axis of the nebula. Deep narrowband imaging in the light of [NII], [OIII] and [SII], obtained using ACAM on the William Herschel Telescope, has been used to investigate the ionisation structure of Abell 41. Longslit observations of the H-alpha and [NII] emission were obtained using the Manchester Echelle Spectrometer on the 2.1-m San Pedro M\'artir Telescope. These spectra, combined with the narrowband imagery, were used to develop a spatio-kinematical model of [NII] emission from…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
