74 citations · 142 across the 7 of their papers we have counts for
6 papers · 1 filter
Lightstack: A Python Package for Creating Photometric Data Cubes
Andressa Wille, Rafael S. de Souza, Ana L. Chies-Santos +3
Multi-band photometry traces diverse physical processes across a wide range of wavelengths. In recent decades, this field has been driven by the rapid growth of multi-imaging datas…
Coniferest: a complete active anomaly detection framework
M. V. Kornilov, V. S. Korolev, K. L. Malanchev +8
We present coniferest, an open source generic purpose active anomaly detection framework written in Python. The package design and implemented algorithms are described. Currently,…
Superluminous supernova search with PineForest
T. Majumder, M. V. Pruzhinskaya, E. E. O. Ishida +3
The advent of wide-field astronomical surveys has made available large and complex data sets. However, the process of discovery and interpretation of each potentially new astronomi…
Rainbow: a colorful approach on multi-passband light curve estimation
E. Russeil, K. L. Malanchev, P. D. Aleo +10
We present Rainbow, a physically motivated framework which enables simultaneous multi-band light curve fitting. It allows the user to construct a 2-dimensional continuous surface a…
Anomaly detection in the Zwicky Transient Facility DR3
K. L. Malanchev, M. V. Pruzhinskaya, V. S. Korolev +11
We present results from applying the SNAD anomaly detection pipeline to the third public data release of the Zwicky Transient Facility (ZTF DR3). The pipeline is composed of 3 stag…
Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning
E. E. O. Ishida, R. Beck, S. Gonzalez-Gaitan +10
We report a framework for spectroscopic follow-up design for optimizing supernova photometric classification. The strategy accounts for the unavoidable mismatch between spectroscop…