D. Starr

Astronomical Data Analysis Software and Systems XII

Measuring the Hubble constant with Type Ia supernovae as near-infrared standard candles

Mapping the outer bulge with RRab stars from the VVV Survey

K2 variable catalogue – II. Machine learning classification of variable stars and eclipsing binaries in K2 fields 0–4

IMPROVED DARK ENERGY CONSTRAINTS FROM ∼100 NEW CfA SUPERNOVA TYPE Ia LIGHT CURVES

The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package

Type Ia Supernovae Are Excellent Standard Candles in the Near-infrared

Near-infrared variability study of the central 2.3 × 2.3 arcmin2 of the Galactic Centre – II. Identification of RR Lyrae stars in the Milky Way nuclear star cluster

Observational probes of cosmic acceleration

PROBING TRAPPIST-1-LIKE SYSTEMS WITH K2

THE CARNEGIE SUPERNOVA PROJECT: LIGHT-CURVE FITTING WITH SNooPy

LOOC UP: locating and observing optical counterparts to gravitational wave bursts

f(R,T)gravity

From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning

A Comprehensive Measurement of the Local Value of the Hubble Constant with 1 km s⁻¹ Mpc⁻¹ Uncertainty from the Hubble Space Telescope and the SH0ES Team

A 3% SOLUTION: DETERMINATION OF THE HUBBLE CONSTANT WITH THEHUBBLE SPACE TELESCOPEAND WIDE FIELD CAMERA 3

Quasinormal modes of black holes and black branes

Nine-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Cosmological Parameter Results

The Raptor Real-Time Processing Architecture

ON MACHINE-LEARNED CLASSIFICATION OF VARIABLE STARS WITH SPARSE AND NOISY TIME-SERIES DATA

Towards a real‐time transient classification engine

Type Ia Supernovae Are Good Standard Candles in the Near Infrared: Evidence from PAIRITEL