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Published November 2019 | Submitted + Published
Journal Article Open

The dust in M31

Abstract

We have analysed Herschel observations of M31, using the PPMAP procedure. The resolution of PPMAP images is sufficient (⁠∼31pc on M31) that we can analyse far-IR dust emission on the scale of giant molecular clouds. By comparing PPMAP estimates of the far-IR emission optical depth at 300μm(τ₃₀₀)⁠, and the near-IR extinction optical depth at 1.1μm(τ_(1.1)) obtained from the reddening of Red Giant Branch (RGB) stars, we show that the ratio R^(obs.)_τ ≡ τ_(1.1)/τ₃₀₀ falls in the range 500 ≲ R^(obs.)_τ ≲ 1500⁠. Such low values are incompatible with many commonly used theoretical dust models, which predict values of Rmodelκ≡κ1.1/κ300 (where κ is the dust opacity coefficient) in the range 2500 ≲ R^(model)_κ ≲ 4000⁠. That is, unless a large fraction, ≳60 per cent⁠, of the dust emitting at 300μm is in such compact sources that they are unlikely to intercept the lines of sight to a distributed population like RGB stars. This is not a new result: variants obtained using different observations and/or different wavelengths have already been reported by other studies. We present two analytic arguments for why it is unlikely that ≳60 per cent of the emitting dust is in sufficiently compact sources. Therefore it may be necessary to explore the possibility that the discrepancy between observed values of R^(obs.)_τ and theoretical values of R^(model)_κ is due to limitations in existing dust models. PPMAP also allows us to derive optical-depth weighted mean values for the emissivity index, β ≡ −dln (κλ)/dln (λ), and the dust temperature, T, denoted ˉβ and ˉT⁠. We show that, in M31, R^(obs.)_τ is anticorrelated with ˉβ according to R^(obs.)_τ ≃ 2042(±24)−557(±10)ˉβ⁠. If confirmed, this provides a challenging constraint on the nature of interstellar dust in M31.

Additional Information

© 2019 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model). Accepted 2019 July 31. Received 2019 July 5; in original form 2019 April 12. Published: 13 August 2019. APW, KAM, MWLS, OL, MJG, and SAE gratefully acknowledge the support of a Consolidated Grant (ST/K00926/1) from the UK Science and Technology Funding Council (STFC). PJC and HLG acknowledge support from the European Research Council (ERC-CoG-647939). The computations were performed using Cardiff University's Advanced Research Computing facility (ARCCA).

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August 19, 2023
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