Using optical images and spectra of the bipolar nebula M 2-9 we show that, in addition to the well-known bright inner nebula, the object has fast, highly...
M Dwarf Flare Continuum Variations on One-second Timescales: Calibrating and Modeling of ULTRACAM Flare Color Indices
We present a large data set of high-cadence dMe flare light curves obtained with custom continuum filters on the triple-beam, high-speed camera system ULTRACAM...
M1-46: A Case Study on Multiple-Shell Planetary Nebula Formation
We discuss in detail the evolutionary path of the multiple-shell planetary nebula M1-46, in the light of our new observations. The velocities of the halo and...
M1-78: a nitrogen-rich Galactic compact H II region beyond the Perseus arm
Context: There is considerable controversy surrounding the nature of M1-78, a compact nebula located beyond the Perseus arm. It was first classified as a...
M31N 2008-12a - The Remarkable Recurrent Nova in M31: Panchromatic Observations of the 2015 Eruption.
The Andromeda Galaxy recurrent nova M31N 2008-12a had been observed in eruption 10 times, including yearly eruptions from 2008 to 2014. With a measured...
Machine learning for galactic archaeology: a chemistry-based neural network method for identification of accreted disc stars
We develop a method ('Galactic Archaeology Neural Network', GANN) based on neural network models (NNMs) to identify accreted stars in galactic discs by only...
Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects
In this paper we investigate how implementing machine learning could improve the efficiency of the search for Trans-Neptunian Objects (TNOs) within Dark Energy...
Machine learning for transient recognition in difference imaging with minimum sampling effort
The amount of observational data produced by time-domain astronomy is exponentially increasing. Human inspection alone is not an effective way to identify...
Machine learning in APOGEE. Identification of stellar populations through chemical abundances
Context. The vast volume of data generated by modern astronomical surveys offers test beds for the application of machine-learning. In these exploratory...