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Precision Analysis of Evolved Stars

Ridgway, Stephen and Akeson, Rachel and Baines, Ellyn and Creech-Eakman, Michelle and Boyajian, Tabetha and De Beck, Elvire and Dupree, Andrea and Gies, Doug and Hinkle, Kenneth and Humphreys, Elizabeth and Humphreys, Roberta and Joyce, Richard and Matthews, Lynn and Monnier, John and Norris, Ryan and Roettenbacher, Rachael and Stanghellini, Letizia and ten Brummelaar, Theo and van Belle, Gerard and Vlemmings, Wouter and Wheeler, J. Craig and White, Russell and Ziurys, Lucy (2019) Precision Analysis of Evolved Stars. Astro2020 Science White Paper, . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20191126-132032525

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Abstract

Evolved stars dominate galactic spectra, enrich the galactic medium, expand to change their planetary systems, eject winds of a complex nature, produce spectacular nebulae and illuminate them, and transfer material between binary companions. While doing this, they fill the HR diagram with diagnostic loops that write the story of late stellar evolution. Evolved stars sometimes release unfathomable amounts of energy in neutrinos, light, kinetic flow, and gravitational waves. During these late-life times, stars evolve complexly, with expansion, convection, mixing, pulsation, mass loss. Some processes have virtually no spatial symmetries, and are poorly addressed with low-resolution measurements and analysis. Even a "simple" question as how to model mass loss resists solution. However, new methods offer increasingly diagnostic tools. Astrometry reveals populations and groupings. Pulsations/oscillations support study of stellar interiors. Optical/radio interferometry enable 2-3d imagery of atmospheres and shells. Bright stars with rich molecular spectra and velocity fields are a ripe opportunity for imaging with high spatial and spectral resolution, giving insight into the physics and modeling of later stellar evolution.


Item Type:Report or Paper (White Paper)
Related URLs:
URLURL TypeDescription
http://arxiv.org/abs/1903.05109arXivDiscussion Paper
ORCID:
AuthorORCID
Akeson, Rachel0000-0001-9674-1564
Baines, Ellyn0000-0002-5684-3424
Boyajian, Tabetha0000-0001-9879-9313
Humphreys, Roberta0000-0003-1720-9807
Monnier, John0000-0002-3380-3307
ten Brummelaar, Theo0000-0002-0114-7915
van Belle, Gerard0000-0002-8552-158X
Group:Infrared Processing and Analysis Center (IPAC)
Series Name:Astro2020 Science White Paper
Record Number:CaltechAUTHORS:20191126-132032525
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20191126-132032525
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:100068
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:26 Nov 2019 23:15
Last Modified:27 Nov 2019 18:53

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