ZTF Summer School 2024

Hosted hybrid by the University of Minnesota

July 29 - August 2: 9 am - 12:30 pm (synchronous), group work in the afternoons (asynchronous)

Course materials for ZTF Summer School 2024

Purpose

This course will introduce key concepts and techniques used to work with large datasets, in the context of the field of astrophysics. The school will focus on modern approaches to creating and manipulating large data sets. We will introduce a range of machine learning techniques for processing data: classification algorithms (supervised and unsupervised learning), clustering algorithms, regression problems, recommender systems, graphic models and others. The algorithms will first be introduced in lectures, and the emphasis will then be placed on homework worked as teams in which the students will apply the algorithms (and already available packages) to astrophysical data sets to answer specific astrophysics questions. The course will assume familiarity with basic concepts in astrophysics, but it will include brief reviews as needed to demonstrate the use of modern data analysis techniques.

Sample Syllabus

Day 1 (Monday, July 29th):

Talks: ZTF Lecture and Notebook (Michael Coughlin / Theophile Jegou Du Laz, 9:30 - 12:30 pm), Supervised Learning Lecture (Jie Ding, 2-3 pm), BTS Notebook (Theophile Jegou Du Laz, 3-4:30 pm)
Tutorials: Alert Stream Access, Training a BTS-like model

Day 2 (Tuesday, July 30th):

Talks: Supervised Learning Lecture and Notebook (William Benoit, 9 am - 12:30 pm)
Tutorials: Compact binary coalescences
Outing: Bell Museum / Planetarium

Day 3 (Wednesday, July 31st):

Talks: Mixed Integer Linear Programming Lecture and Notebook (Leo Singer, 9 am - 12:30 pm), Simulation Based Inference Lecture and Notebook (Ethan Marx, 2 - 5 pm),
Tutorials: Kilonova light curves, Telescope Scheduling with MILP

Day 4 (Thursday, August 1st):

Talks: Anomaly Detection Lecture and Notebook (Xialong Li, 9 am - 10:30 am, Daniel Warshofsky, 11 am - 12:30 pm)
Tutorials: Echoes case study, transient case study
Outing: Mall of America

Day 5 (Friday, August 2nd):

Hackathon with BTS data set

How to use these materials

Fork this repo
The topics of each day's lectures are described in the schools' program
Lectures are in directories named XY/ where XY/ is the number of the day
Various help cheat sheets are included in help/.
You should also review in-class notebooks to make sure you understand what is happening
The lecture notebooks have in-class exercises for you to work on

Related Material

UIUC Fundamentals of Data science: https://github.com/gnarayan/ast596_2023_Spring
Caltech Astroinformatics: https://sites.astro.caltech.edu/ay119/
GROWTH summer school: http://growth.caltech.edu/growth-school-2019.html
AURA winter school: http://www.aura-o.aura-astronomy.org/winter_school/ - go to Past Years.
YouTube Neural Networks: https://www.youtube.com/watch?v=aircAruvnKk
UMN Big Data Astronomy: https://github.com/mcoughlin/ast8581_2024_Spring

Github

If you are new to github, we recommend watching:

ZTF useful links + QA

Question	Answer
ztfquery documentation	https://github.com/MickaelRigault/ztfquery
ZTF table content	https://irsa.ipac.caltech.edu/onlinehelp/ztf/overview.html
Alerts content	https://zwickytransientfacility.github.io/ztf-avro-alert/schema.html
What is the "Redshift Completeness Factor" program?	It's a program dedicated to determine the number of SN host galaxies with known spectroscopic redshift prior to the SN discovery divided by the total number of SN hosts. See https://arxiv.org/abs/1910.12973
What is the "Census of the Local Unverse" program?	The Census of the Local Universe (CLU) aims to provide a galaxy catalog out to 200 Mpc that is as complete as possible. See https://arxiv.org/abs/1710.05016
How is the time allocation for each filter decided?	ZTF uses a Integer Linear Programming approach, that optimizes an observing plan for an entire night by assigning targets to temporal blocks, enables strict control of the number of exposures obtained per field and minimizes filter changes. See https://arxiv.org/abs/1905.02209

akshaypanayada / ztf_summer_school_2024 Goto Github PK