Sarah Martell

Has grant

Associate Professor

UNSW Sydney
Country flag
Australia

Research Interests

Explore related searches

Contact this professor

LinkedIn
ORCID
Google Scholar

About

Dr. Sarah Martell is an Associate Professor at UNSW Sydney, Australia. Her research primarily focuses on stellar astrophysics, with recent work examining chemical abundances in globular clusters, spectroscopic parameters of red giants, and the implications of galactic dynamics on stellar populations. Dr. Martell is also involved in large-scale surveys such as the GALAH and Gaia-ESO Surveys, contributing to our understanding of elemental abundances and stellar evolution.

Recent Grants

Grant: Close

A dedicated telescope to study the interiors of stars from their oscillations

Open Date: 2019-01-01

Close Date: 2019-12-31

Grant: Close

Tracing the accretion history of the Milky Way with chemical tagging

Open Date: 2018-01-01

Close Date: 2020-12-31

Grant: Close

VeloceCal: Hyper-calibrating Australia's planet foundry

Open Date: 2016-01-01

Close Date: 2016-12-31

Grant: Close

Australian membership of the European 4MOST consortium

Open Date: 2016-01-01

Close Date: 2016-12-31

Grant: Close

Veloce - Australia's Next-Generation Planet Foundry

Open Date: 2015-01-01

Close Date: 2015-12-31

Articles (23)

The role of carbon in red giant spectro-seismology

Although red clump stars function as reliable standard candles, their surface characteristics (i.e. Teff, log g, and [Fe/H]) overlap with those of red giant branch stars, which are not standard candles. Recent results have revealed that spectral features containing carbon (e.g. CN molecular bands) carry information correlating with the ‘gold-standard’ asteroseismic classifiers that distinguish red clump from red giant branch stars. However, the underlying astrophysical processes driving the correlation between these spectroscopic and asteroseismic quantities in red giants remain inadequately explored. This study aims to enhance our understanding of this ‘spectro-seismic’ effect by refining the list of key spectral features predicting red giant evolutionary state. In addition, we conduct further investigation into those key spectral features to probe the astrophysical processes driving this connection. We employ the data-driven The Cannon algorithm to analyse high-resolution (R ∼ 80 000) Veloce Rosso spectra from the Anglo-Australian Telescope for 301 red giant stars (where asteroseismic classifications from the TESS mission are known for 123 of the stars). The results highlight molecular spectroscopic features, particularly those containing carbon (e.g. CN), as the primary indicators of the evolutionary states of red giant stars. Furthermore, by investigating CN isotopic pairs (that is, 12C14N and 13C14N), we find suggestions of statistically significant differences in the reduced equivalent widths of such lines, suggesting that physical processes that change the surface abundances and isotopic ratios in red giant stars, such as deep mixing, are the driving forces of the ‘spectro-seismic’ connection of red giants.

Year:

2024

Rapid polarization variations in the O4 supergiant ζ Puppis

We present time-series linear-polarization observations of the bright O4 supergiant ζ Puppis. The star is found to show polarization variation on time-scales of around an hour and longer. Many of the observations were obtained contemporaneously with Transiting Exoplanet Survey Satellite (TESS) photometry. We find that the polarization varies on similar time-scales to those seen in the TESS light curve. The previously reported 1.78-d photometric periodicity is seen in both the TESS and polarization data. The amplitude ratio of photometry to polarization is ∼9 for the periodic component and the polarization variation is oriented along position angle ∼70°–160°. Higher frequency stochastic variability is also seen in both data sets with an amplitude ratio of ∼19 and no preferred direction. We model the polarization expected for a rotating star with bright photospheric spots and find that models that fit the photometric variation produce too little polarization variation to explain the observations. We suggest that the variable polarization is more likely the result of scattering from the wind, with corotating interaction regions producing the periodic variation and a clumpy outflow producing the stochastic component. The Hα emission line strength was seen to increase by 10 per cent in 2021 with subsequent observations showing a return to the pre-2018 level.

Year:

2024

Collaborators (33)

Tomaž Zwitter

-

SLOVENIA

C.G. Tinney

Professor

University of New South Wales

AUSTRALIA

D Horta

Liverpool John Moores University

UNITED KINGDOM

ANAIS GONNEAU

-

UNITED KINGDOM

Brian Metzger

Assistant Professor

Columbia University

UNITED STATES

Claudia Reyes

The Australian National University

AUSTRALIA

Paul Luckas

University of Western Australia

AUSTRALIA

Keith Hawkins

University of Texas at Austin

UNITED STATES

Geraint F Lewis

University of Sydney

AUSTRALIA

D Yong

Australian National University

AUSTRALIA

Ian Roederer

Associate Professor

North Carolina State University

UNITED STATES

Daniel Cotton

-

UNITED STATES

Jonathan Horner

Professor (Astrophysics)

University of Southern Queensland

AUSTRALIA

Dennis Stello

University of Sydney

AUSTRALIA

Benjamin T Montet

University of New South Wales

AUSTRALIA

Andrew Howard

Professor of Astronomy

California Institute of Technology

UNITED STATES

Benoit Mosser

Professeur

-

FRANCE

Sven Buder

Australian National University

AUSTRALIA

Sanjib Sharma

University of Sydney

AUSTRALIA

Jakob Lysgaard Rørsted

Aarhus University

DENMARK

Tim Bedding

University of Sydney

AUSTRALIA

Richard de Grijs

Macquarie University

AUSTRALIA

Joss Bland-Hawthorn

ARC Laureate Professor

University of Sydney

AUSTRALIA

Kenneth Freeman

Duffield Professor

Australian National University

AUSTRALIA

Pradosh Barun Das

Macquarie University

AUSTRALIA

Thomas Bensby

Senior University Lecturer

Lund University

SWEDEN

Chris Flynn

Swinburne University of Technology

AUSTRALIA

Adam D Rains

Australian National University

AUSTRALIA

Tayyaba Zafar

Macquarie University

AUSTRALIA

Courtney Crawford

University of Sydney

AUSTRALIA

Andrew Casey

MONASH UNIVERSITY

AUSTRALIA

M Carlos

Uppsala University

SWEDEN

Melissa Ness

Australian National University

AUSTRALIA
Social connections

How do I reach out?

Sign in for free to see their profile details and contact information.

Meet Kite AI