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Stacking analysis of HERITAGE data to statistically study far-IR dust emission from evolved stars

Published online by Cambridge University Press:  30 December 2019

Thavisha E. Dharmawardena
Affiliation:
Academia Sinica Institute of Astronomy and Astrophysics, 11F of AS/NTU Astronomy-Mathematics Building, No.1, Sect. 4, Roosevelt Rd, Taipei 10617, Taiwan, R.O.C. Stacking analysis of HERITAGE data to statistically study far-IR dust emission from evolved starsGraduate Institute of Astronomy, National Central University, 300 Zhongda Road, Zhongli 32001, Taoyuan, Taiwan, R.O.C. email: tdharmawardena@asiaa.sinica.edu.tw
Francisca Kemper
Affiliation:
Academia Sinica Institute of Astronomy and Astrophysics, 11F of AS/NTU Astronomy-Mathematics Building, No.1, Sect. 4, Roosevelt Rd, Taipei 10617, Taiwan, R.O.C.
Sundar Srinivasan
Affiliation:
Academia Sinica Institute of Astronomy and Astrophysics, 11F of AS/NTU Astronomy-Mathematics Building, No.1, Sect. 4, Roosevelt Rd, Taipei 10617, Taiwan, R.O.C.
Sacha Hony
Affiliation:
Heidelberg University, Center for Astronomy, Institute of Theoretical Astrophysics, Albert-Ueberle-Str. 2, 69120 Heidelberg, Germany
Olivia Jones
Affiliation:
UK Astronomy Technology Centre, Royal Observatory, Blackford Hill View, Edinburgh EH9 3HJ, UK
Peter Scicluna
Affiliation:
Academia Sinica Institute of Astronomy and Astrophysics, 11F of AS/NTU Astronomy-Mathematics Building, No.1, Sect. 4, Roosevelt Rd, Taipei 10617, Taiwan, R.O.C.
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Abstract

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We aim to analyse the co-added Herschel images of various categories of evolved stars in the LMC and SMC from the Herschel HERITAGE survey in order to identify, in a statistical sense, a cool historic dust mass component emitted by these sources. The fluxes derived from the co-added stacks can then be compared with those predicted by the GRAMS model grid in order to refine the DPRs estimated for the SMC and LMC.

Type
Contributed Papers
Copyright
© International Astronomical Union 2019 

References

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