Iain McDonald
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View article: Long-period Variable Stars in NGC 147 and NGC 185. II. Their Dust Production
Long-period Variable Stars in NGC 147 and NGC 185. II. Their Dust Production Open
This study presents a comparative analysis of mass-loss and dust production rates in the dwarf galaxies NGC 147 and NGC 185, focusing on long-period variables (LPVs) and pulsating asymptotic giant branch stars as primary indicators of dust…
View article: Central-star extinctions towards planetary nebulae
Central-star extinctions towards planetary nebulae Open
Planetary nebulae (PNe) trace the hottest and most luminous phase of evolution of solar-type stars. We use these hot, bright stars to investigate extinctions towards a complete sample of 262 confirmed PNe with large angular diameters, whic…
View article: Discovery of SiC and Iron Dust around AGB Stars in the Very Metal-poor Sextans a Dwarf Galaxy with JWST: Implications for Dust Production at High Redshift
Discovery of SiC and Iron Dust around AGB Stars in the Very Metal-poor Sextans a Dwarf Galaxy with JWST: Implications for Dust Production at High Redshift Open
Low-resolution infrared spectroscopy from JWST confirms the presence of SiC and likely metallic iron dust around asymptotic giant branch (AGB) stars in the Sextans A dwarf galaxy, which has a metallicity ∼1%–7% Z ⊙ . While metal-poor carbo…
View article: Central-star extinctions towards planetary nebulae
Central-star extinctions towards planetary nebulae Open
Planetary nebulae trace the hottest and most luminous phase of evolution of solar-type stars. We use these hot, bright stars to investigate extinctions towards a complete sample of 262 confirmed PNe with large angular diameters, which have…
View article: Comparison of Photometric and Spectroscopic Labels in Classifying Dusty Stellar Sources Using Machine Learning in the Magellanic Clouds
Comparison of Photometric and Spectroscopic Labels in Classifying Dusty Stellar Sources Using Machine Learning in the Magellanic Clouds Open
Dusty stellar sources, including young stellar objects (YSOs) and evolved stars such as oxygen- and carbon-rich AGBs (OAGBs, CAGBs), red supergiants (RSGs), and post-AGB stars (PAGBs), play a key role in the chemical enrichment of galaxies…
View article: Exploration of groups and outliers in Gaia RVS stellar spectra with metric learning
Exploration of groups and outliers in Gaia RVS stellar spectra with metric learning Open
The Gaia mission is transforming our view of the Milky Way by providing distances towards a billion stars, and much more. The third data release includes nearly a million spectra from its Radial Velocity Spectrometer (RVS). Identifying une…
View article: Discovery of SiC and Iron Dust Around AGB Stars in the very Metal-Poor Sextans A Dwarf Galaxy with JWST: Implications for Dust Production at High Redshift
Discovery of SiC and Iron Dust Around AGB Stars in the very Metal-Poor Sextans A Dwarf Galaxy with JWST: Implications for Dust Production at High Redshift Open
Low-resolution infrared spectroscopy from JWST confirms the presence of SiC and likely metallic iron dust around asymptotic giant branch (AGB) stars in the Sextans A dwarf galaxy, which has a metallicity ~1%-7% Z_sun. While metal-poor carb…
View article: The Isaac Newton Telescope Monitoring Survey of Local Group Dwarf Galaxies. VII. Long-period Variable Stars in the Nearest Starburst Dwarf Galaxy, IC 10
The Isaac Newton Telescope Monitoring Survey of Local Group Dwarf Galaxies. VII. Long-period Variable Stars in the Nearest Starburst Dwarf Galaxy, IC 10 Open
To identify long-period variable (LPV) stars in IC 10—the nearest starburst galaxy of the Local Group—we conducted an optical monitoring survey using the 2.5 m Isaac Newton Telescope with the wide-field camera (WFC) in the i band and V ban…
View article: Dusty Stellar Source Classification by Implementing Machine Learning Methods Based on Spectroscopic Observations in the Magellanic Clouds
Dusty Stellar Source Classification by Implementing Machine Learning Methods Based on Spectroscopic Observations in the Magellanic Clouds Open
Dusty stellar point sources are a significant stage in stellar evolution and contribute to the metal enrichment of galaxies. These objects can be classified using photometric and spectroscopic observations using color–magnitude diagrams an…
View article: The Nearby Evolved Stars Survey (NESS) V: properties of volume-limited samples of Galactic evolved stars
The Nearby Evolved Stars Survey (NESS) V: properties of volume-limited samples of Galactic evolved stars Open
We provide a meta-study of the statistical and individual properties of two volume-complete sets of evolved stars in the solar neighbourhood: (1) 852 stars from the Nearby Evolved Stars Survey (NESS), and (2) a partially overlapping set of…
View article: An accreting dwarf star orbiting the S-type giant star <i>π</i><sup>1</sup> Gru
An accreting dwarf star orbiting the S-type giant star <i>π</i><sup>1</sup> Gru Open
Context. At the end of their lives, low- to intermediate-mass stars reach the asymptotic giant branch (AGB), during which their photospheres expand by up to several hundred times and strong stellar winds develop. These changes lead to vari…
View article: The Isaac Newton Telescope Monitoring Survey of Local Group Dwarf Galaxies. VII. Long-Period Variable Stars in the Nearest Starburst Dwarf Galaxy, IC 10
The Isaac Newton Telescope Monitoring Survey of Local Group Dwarf Galaxies. VII. Long-Period Variable Stars in the Nearest Starburst Dwarf Galaxy, IC 10 Open
To identify long-period variable (LPV) stars in IC10 - the nearest starburst galaxy of the Local Group (LG) - we conducted an optical monitoring survey using the 2.5-m Isaac Newton Telescope (INT) with the wide-field camera (WFC) in the i-…
View article: Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier Open
The Magellanic Clouds (MCs) are excellent locations to study stellar dust emission and its contribution to galaxy evolution. Through spectral and photometric classification, MCs can serve as a unique environment for studying stellar evolut…
View article: Detection of the Long Period Variable Stars of And II Dwarf Satellite galaxy
Detection of the Long Period Variable Stars of And II Dwarf Satellite galaxy Open
We conducted an extensive study of the spheroidal dwarf satellite galaxies around the Andromeda galaxy to produce an extensive catalog of LPV stars. The optical monitoring project consists of 55 dwarf galaxies and four globular clusters th…
View article: Temporal Changes in the Infrared Spectra of Magellanic Carbon Stars
Temporal Changes in the Infrared Spectra of Magellanic Carbon Stars Open
The Medium-Resolution Spectrometer on the Mid-Infrared Instrument on the JWST obtained spectra of three carbon stars in the Large Magellanic Cloud. Two of the spectra differ significantly from spectra obtained ∼16–19 years earlier with the…
View article: The impact of third dredge-up on the mass loss of Mira variables
The impact of third dredge-up on the mass loss of Mira variables Open
Context: The details of the mass-loss process in the late stages of low- and intermediate-mass stellar evolution are not well understood, in particular its dependence on stellar parameters. Mira variables are highly suitable targets for st…
View article: The impact of third dredge-up on the mass loss of Mira variables
The impact of third dredge-up on the mass loss of Mira variables Open
Context. The details of the mass-loss process in the late stages of low- and intermediate-mass stellar evolution are not well understood, in particular its dependence on stellar parameters. Mira variables are highly suitable targets for st…
View article: Machine learning based stellar classification with highly sparse photometry data
Machine learning based stellar classification with highly sparse photometry data Open
Background Identifying stars belonging to different classes is vital in order to build up statistical samples of different phases and pathways of stellar evolution. In the era of surveys covering billions of stars, an automated method of i…
View article: The VISTA Variables in the Vía Láctea extended (VVVX) ESO public survey: Completion of the observations and legacy
The VISTA Variables in the Vía Láctea extended (VVVX) ESO public survey: Completion of the observations and legacy Open
Context. The ESO public survey VISTA Variables in the Vía Láctea (VVV) surveyed the inner Galactic bulge and the adjacent southern Galactic disk from 2009–2015. Upon its conclusion, the complementary VVV extended (VVVX) survey has expanded…
View article: The VISTA Variables in the Vía Láctea eXtended (VVVX) ESO public survey: Completion of the observations and legacy
The VISTA Variables in the Vía Láctea eXtended (VVVX) ESO public survey: Completion of the observations and legacy Open
The ESO public survey VISTA Variables in the Vía Láctea (VVV) surveyed the inner Galactic bulge and the adjacent southern Galactic disk from $2009-2015$. Upon its conclusion, the complementary VVV eXtended (VVVX) survey has expanded both t…
View article: SMC-Last Extracted Photometry
SMC-Last Extracted Photometry Open
We present point-source photometry from the Spitzer Space Telescope's final survey of the Small Magellanic Cloud (SMC). We mapped nearly 30 deg 2 in two epochs in 2017, with the second extending to early 2018 at 3.6 and 4.5 μ m using the I…
View article: PySSED: an automated method of collating and fitting stellar spectral energy distributions
PySSED: an automated method of collating and fitting stellar spectral energy distributions Open
Stellar atmosphere modelling predicts the luminosity and temperature of a star, together with parameters such as the effective gravity and the metallicity, by reproducing the observed spectral energy distribution. Most observational data c…
View article: Machine learning based stellar classification with highly sparse photometry data
Machine learning based stellar classification with highly sparse photometry data Open
Background Identifying stars belonging to different classes is vital in order to build up statistical samples of different phases and pathways of stellar evolution. In the era of surveys covering billions of stars, an automated method of i…
View article: Chemical tracers of a highly eccentric AGB–main-sequence star binary
Chemical tracers of a highly eccentric AGB–main-sequence star binary Open
View article: <scp>PySSED</scp>: an automated method of collating and fitting stellar spectral energy distributions
<span>PySSED</span>: an automated method of collating and fitting stellar spectral energy distributions Open
Stellar atmosphere modelling predicts the luminosity and temperature of a star, together with parameters such as the effective gravity and the metallicity, by reproducing the observed spectral energy distribution. Most observational data c…
View article: <i>JWST</i> observations of the Ring Nebula (NGC 6720): I. Imaging of the rings, globules, and arcs
<i>JWST</i> observations of the Ring Nebula (NGC 6720): I. Imaging of the rings, globules, and arcs Open
We present JWST images of the well-known planetary nebula NGC 6720 (the Ring Nebula), covering wavelengths from 1.6 to 25 $\, \mu$m. The bright shell is strongly fragmented with some 20 000 dense globules, bright in H2, with a characterist…
View article: EXPLORE: The wide binary companions to the two Ring nebulae
EXPLORE: The wide binary companions to the two Ring nebulae Open
Two planetary nebulae have sofar been observed with JWST. Both show stellar companions. The paper discusses how and what we can learn from the companions.
View article: JWST imaging observations of the Ring Nebula
JWST imaging observations of the Ring Nebula Open
We present JWST images of NGC 6720 (the Ring Nebula), covering wavelengths from 1.6 μ m to 25 μ m. The bright shell is strongly fragmented with some 20 000 dense globules, bright in H 2 , with a characteristic diameter of 0.2 arcsec and de…
View article: ATOMIUM: Molecular inventory of 17 oxygen-rich evolved stars observed with ALMA
ATOMIUM: Molecular inventory of 17 oxygen-rich evolved stars observed with ALMA Open
Context. The dusty winds of cool evolved stars are a major contributor of the newly synthesised material enriching the Galaxy and future generations of stars. However, the details of the physics and chemistry behind dust formation and wind…
View article: Revisiting the Transit Timing and Atmosphere Characterization of the Neptune-mass Planet HAT-P-26 b
Revisiting the Transit Timing and Atmosphere Characterization of the Neptune-mass Planet HAT-P-26 b Open
We present a transit-timing variation (TTV) and planetary atmosphere analysis of the Neptune-mass planet HAT-P-26 b. We present a new set of 13 transit light curves from optical ground-based observations and combine them with light curves …