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Students learn the way astrophysicists manipulate observatory data and perform analyses in Google Colab Python notebooks with an emphasis on data visualization and plot interpretation.

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Astronomy: Celestial Bodies Data Science Module

Contributors: James Busch (GR), Garrett Scott ('22), Elisabeth Newton (Professor of Physics and Astronomy), Lorie Loeb (Professor of Computer Science, DIFUSE PI)

DIFUSE Data Science Module.  Astronomy 15: Stars and the Milky Way.  Professor Elisabeth Newton, Dartmouth College.  Funded by NSF IUSE1917002

This module was developed through the DIFUSE project at Dartmouth College and funded by the National Science Foundation award IUSE-1917002.

Download the entire module Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Module Objective

Introduce students to the way Astrophysicists manipulate data and perform analyses in Python with an emphasis on data visualization and plot interpretation.

Learning Objectives

  1. Actively engage with a coding environment.
  2. Analyze and compare astronomical data about different objects and/or from different observatories.
  3. Interpret data visualizations in the context of course content.

Module Description

The module aims to introduce students to the way Astrophysicists manipulate data and perform analyses with an emphasis on data visualization and plot interpretation. Students use a sequence of python notebooks to explore, analyze astronomical data. This module uses python notebooks as its main tool and engages students in data analysis, visualization, and drawing conclusions.

Data

The module pyhton notebooks pull observatory data from the Gaia star luminosity data set, a celestial object data set, TESS data on exoplanets, and the Dartmouth stellar evolution database.

Platform

This module uses pyhton notebooks in Google CoLab for student work.

Module Outline and Timeline

Date In/Out of Class Assignment Description Assignment Files (Linked to Repository Contents)
Week 1 In class Introduction to python, using google colab Colab documentation and start-up guide
Week 1 Out of class Getting used to colab, looking at data from different observatories Assignment 1
Week 3 Out of class The Night Sky Assignment 2
Week 5 Out of class Orbits and Gravity Assignment 3
Week 7 Out of class Stellar Evolution Assignment 4

Course Description

Stars and the Milky Way is an introductory astronomy course in the Physics and Astronomy Department at Dartmouth College. It is a general introduction to astronomy and assumes no particular student background but instructors expect that about a third of students will have some python or coding background.

Download the entire module Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Week 9 Out of class

Student Expectations

ASTR15 is an introductory course and has no prerequisites, but the instructors observe that about a third of the students will have at least some familiarity with Python/coding.

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Students learn the way astrophysicists manipulate observatory data and perform analyses in Google Colab Python notebooks with an emphasis on data visualization and plot interpretation.

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