Estimating Volumetric Rates of Super Luminous Supernovae using data from Zwicky Transient Facility (ZTF)
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Updated
Oct 2, 2023 - Jupyter Notebook
Estimating Volumetric Rates of Super Luminous Supernovae using data from Zwicky Transient Facility (ZTF)
Application, site web du CPH (Christian Publishing House). Le site web présente une landing page résumant les activités du CPH et un formulaire pour commander un livre prêt à être imprimé.
Provides a forced photometry pipeline for ZTF based on ztfquery and ztflc
Simulation for survey (cadence, strategy) based on Python
A python library to streamline requesting Zwicky Transient Facility (ZTF) forced photometry.
Analyzing the Zwicky Transient Facility forced photometry nuclear transient sample
Automated identification of supernovae with multi-modal deep learning
Collection of examples of using the simsurvey package to simulate transient lightcurves
Tails: chasing comets with ZTF and deep learning
braai [Bogus/Real Adversarial AI]: Real-bogus astrophysical event classification for the Zwicky Transient Facility (ZTF) using deep learning
ZTF Uniform Depth Survey Image Processing Pipeline
Kowalski: a multi-survey data archive and alert broker for time-domain astronomy
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