Betelgeuse Fainter in the Submillimeter Too: An Analysis of JCMT and APEX Monitoring during the Recent Optical Minimum

Betelgeuse is the nearest Red Supergiant star and it underwent an unusually deep minimum at optical wavelengths during its most recent pulsation cycle. We present submillimetre observations taken by the James Clerk Maxwell Telescope and Atacama Pathfinder Experiment over a time span of 13 years including the optical dimming. We find that Betelgeuse has also dimmed by \sim20\% at these longer wavelengths during this optical minimum. Using radiative-transfer models, we show that this is likely due to changes in the photosphere (luminosity) of the star as opposed to the surrounding dust as was previously suggested in the literature.

[1]  G. Perrin,et al.  The inner dust shell of Betelgeuse detected by polarimetric aperture-masking interferometry , 2019, Astronomy & Astrophysics.

[2]  Ireland,et al.  e-MERLIN resolves Betelgeuse at λ 5 cm: hotspots at 5 R⋆ , 2013, 1303.2864.

[3]  Thomas P. Robitaille,et al.  HYPERION: an open-source parallelized three-dimensional dust continuum radiative transfer code , 2011, 1112.1071.

[4]  P. A. R. Ade,et al.  SCUBA-2: the 10 000 pixel bolometer camera on the James Clerk Maxwell Telescope , 2013, 1301.3650.

[5]  Ansgar Reiners,et al.  A new extensive library of PHOENIX stellar atmospheres and synthetic spectra , 2013, 1303.5632.

[6]  Kaisey S. Mandel,et al.  CONSTRUCTING A FLEXIBLE LIKELIHOOD FUNCTION FOR SPECTROSCOPIC INFERENCE , 2014, 1412.5177.

[7]  Alexander Brown,et al.  TEXES OBSERVATIONS OF M SUPERGIANTS: DYNAMICS AND THERMODYNAMICS OF WIND ACCELERATION , 2009, 0906.4599.

[8]  G. Meynet,et al.  Massive star evolution: luminous blue variables as unexpected supernova progenitors , 2013, 1301.1519.

[9]  S. Goodman Toward Evidence-Based Medical Statistics. 1: The P Value Fallacy , 1999, Annals of Internal Medicine.

[10]  T. Lebzelter,et al.  Abundance analysis for long period variables. Velocity effects studied with O-rich dynamic model atmospheres , 2010, 1004.3481.

[11]  E. Guinan,et al.  The Fall and Rise in Brightness of Betelgeuse , 2020 .

[12]  S. Höfner,et al.  Mass loss of stars on the asymptotic giant branch , 2018 .

[13]  K. Nordsieck,et al.  The Size distribution of interstellar grains , 1977 .

[14]  M. Trabucchi,et al.  The onset of the AGB wind tied to a transition between sequences in the period–luminosity diagram , 2019, Monthly Notices of the Royal Astronomical Society.

[15]  S. Goodman,et al.  Toward Evidence-Based Medical Statistics. 2: The Bayes Factor , 1999, Annals of Internal Medicine.

[16]  J. Marshall,et al.  The sub-mm variability of IRC+10216 and o Ceti , 2019, Monthly Notices of the Royal Astronomical Society.

[17]  Douglas Scott,et al.  Scuba-2: Iterative map-making with the sub-millimetre user reduction facility , 2013, 1301.3652.

[18]  L. Decin,et al.  The inhomogeneous submillimeter atmosphere of Betelgeuse , 2017, 1706.06021.

[19]  T. Verhoelst,et al.  The dust condensation sequence in red supergiant stars , 2009, 0901.1262.

[20]  J. Lattanzio,et al.  The Dawes Review 2: Nucleosynthesis and Stellar Yields of Low- and Intermediate-Mass Single Stars , 2014, Publications of the Astronomical Society of Australia.

[21]  J. Cami,et al.  The nearby evolved stars survey – I. JCMT/SCUBA-2 submillimetre detection of the detached shell of U Antliae , 2019, Monthly Notices of the Royal Astronomical Society.

[22]  T. Lebzelter,et al.  Abundance analysis for long-period variables - II. RGB and AGB stars in the globular cluster 47 Tucanae , 2014, 1406.6564.

[23]  D. Johnstone,et al.  The JCMT Gould Belt Survey: the effect of molecular contamination in SCUBA-2 observations of Orion A , 2016, 1601.01989.

[24]  F. V. Leeuwen Validation of the new Hipparcos reduction , 2007, 0708.1752.

[25]  J. Skilling Nested sampling for general Bayesian computation , 2006 .

[26]  Jeffrey N. Rouder,et al.  The philosophy of Bayes’ factors and the quantification of statistical evidence , 2016 .

[27]  Cecile Loup,et al.  An Empirical formula for the mass-loss rates of dust-enshrouded red supergiants and oxygen-rich asymptotic giant branch stars , 2005 .

[28]  J. Loon,et al.  Dust, pulsation, chromospheres and their rôle in driving mass loss from red giants in Galactic globular clusters , 2007, 0710.1491.

[29]  J. Beeman,et al.  The Large APEX BOlometer CAmera LABOCA , 2009, 0903.1354.

[30]  H. Rix,et al.  THE LARGE APEX BOLOMETER CAMERA SURVEY OF THE EXTENDED CHANDRA DEEP FIELD SOUTH , 2009, 0910.2821.

[31]  Th. Henning,et al.  Aluminum Oxide and the Opacity of Oxygen-rich Circumstellar Dust in the 12-17 Micron Range , 1997 .

[32]  J. Speagle dynesty: a dynamic nested sampling package for estimating Bayesian posteriors and evidences , 2019, Monthly Notices of the Royal Astronomical Society.

[33]  Edward Higson,et al.  Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation , 2017, Statistics and Computing.

[34]  D. Johnstone,et al.  Molecular line contamination in the SCUBA-2 450 and 850 μm continuum data , 2012, 1204.6180.

[35]  J. Cami,et al.  Extended Dust Emission from Nearby Evolved stars , 2018, Proceedings of the International Astronomical Union.

[36]  C. Georgy Yellow supergiants as supernova progenitors: an indication of strong mass loss for red supergiants? , 2011, 1111.7003.

[37]  Philip Massey,et al.  Betelgeuse Just Is Not That Cool: Effective Temperature Alone Cannot Explain the Recent Dimming of Betelgeuse , 2020, 2002.10463.

[38]  Per Friberg,et al.  Scuba-2: On-sky calibration using submillimetre standard sources , 2013, 1301.3773.

[39]  E. Guinan,et al.  Temporal Evolution of the Size and Temperature of Betelgeuse's Extended Atmosphere , 2015, 1506.07536.