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ZTF Summer School 2021

Aug 16-20 | Virtual

Theme: Variable Stars


The ZTF summer school is designed to provide young astronomers (graduate level and above) with hands-on experience and training in data processing of ZTF and other transient survey data using modern data science techniques such as Bayesian inference, time-series analysis, and machine learning. During the school, students will use Python Jupyter notebooks and work on multiple assignments under the guidance of experts in the field. 

The 2021 school will be virtual and will take place on Aug 16-20. The theme for this school is variable stars. Click below to view a summary program of the topics that will be included. The school format will include pre-recorded lectures that students need to watch before joining the live school sessions. The live sessions will have a brief Q&A part during which students can discuss the video lectures with the lecturers and an interactive part when students will work with Python Jupyter notebooks to complete data processing assignments under the guidance of tutors. 



Links to all school resources (recorded lectures, Python notebooks and solutions) are available from the school program

View Program

Organizing Committee

The lead organizer of the ZTF summer schools is Michael Coughlin at the University of Minnesota. He is assisted by members of the ZTF partnership who bring in diverse expertise to form an organizing committee. The members of the organizing committee are:

  • Matthew Graham - ZTF Project Scientist (Caltech)
  • David Kaplan - Associate Professor (UWM)
  • Marek Kowalski - Professor of Astronomy (Humboldt University of Berlin/DESY)
  • Leo Singer - Researcher (NASA/GSFC)
  • Albert Kong - Professor (NTHU, Taiwan)
  • Tomas Ahumada - Graduate Student (UMD)
  • Iva Kostadinova - ZTF Program Coordinator (Caltech)



If you have questions, please get in touch with the organizing committee at ztf.summer.school@gmail.com.