M. Lochner

Latest

• Impact of Rubin Observatory cadence choices on supernovae photometric classification
• Results of the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC)
• Considerations for optimizing photometric classification of supernovae from the Rubin Observatory
• Classification of multiwavelength transients with machine learning
• Optimising the LSST observing strategy for Supernova light curve classification with machine learning
• The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Selection of a performance metric for classification probabilities balancing diverse science goals
• Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Deep Drilling Fields and other Special Programs
• Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Wide-Fast-Deep Survey
• The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set
• Photometric Supernova classification with machine learning