GD-1 Stream Analysis

This repository contains Jupyter Notebooks for analyzing the GD-1 stellar stream using data from the Gaia mission and Pan-STARRS survey. The analysis includes querying the Gaia database, transforming coordinates, selecting candidate stars, and visualizing the results.

Notebooks Overview

1. 1BASIC_QUERY.ipynb

• Outline: Demonstrates connecting to the Gaia server, exploring database tables, writing and sending queries, and downloading responses as Astropy Tables.
• Key Steps:
  • Connecting to Gaia.
  • Exploring table metadata.
  • Writing and executing basic queries.
  • Handling asynchronous queries.

2. 2CORD_SYS.ipynb

• Outline: Shows how to perform a cone search, convert coordinates between different frames, and select stars within a polygonal region.
• Key Steps:
  • Defining and transforming coordinates.
  • Selecting a rectangular region in the GD-1 frame.
  • Assembling and executing ADQL queries.

3. 3PLOT1.ipynb

• Outline: Reads data from a FITS file, transforms coordinates and proper motions, and visualizes the results.
• Key Steps:
  • Reading and transforming data.
  • Reflex correction for proper motion.
  • Visualizing transformed coordinates.

4. 4PLOT_PROPER.ipynb

• Outline: Selects stars near the centerline of GD-1, plots proper motion, and identifies candidate stars based on proper motion.
• Key Steps:
  • Selecting stars near the centerline.
  • Plotting proper motion.
  • Filtering based on proper motion.

5. 5TRANS_PLOT.ipynb

• Outline: Transforms proper motions, computes the convex hull of points, and writes ADQL queries for proper motion selection.
• Key Steps:
  • Transforming proper motions.
  • Computing convex hull.
  • Assembling and executing ADQL queries.

6. 6JOIN.ipynb

• Outline: Uses database JOIN operations to select photometry data for candidate stars in GD-1.
• Key Steps:
  • Exploring Pan-STARRS tables.
  • Performing JOIN operations.
  • Selecting stars based on photometry.

7. 7PHOTOMETRY.ipynb

• Outline: Uses isochrone data to specify a polygon and determine which points fall inside it, and customizes figure appearances using Matplotlib.
• Key Steps:
  • Plotting photometry data.
  • Defining and using isochrones.
  • Customizing plots.

8. 8VISUALIZE.ipynb

• Outline: Visualizes various aspects of the GD-1 stream using Matplotlib.
• Key Steps:
  • Plotting CMD selection.
  • Plotting proper motion selection.
  • Adding shaded regions to plots.

Final.ipynb

• Outline: Integrates all steps from previous notebooks to provide a comprehensive analysis of the GD-1 stream.
• Key Steps:
  • Importing necessary libraries.
  • Reading and transforming data.
  • Visualizing results.

Acknowledgments

• Data from the Gaia mission and Pan-STARRS survey.
• Libraries: Astropy, Matplotlib, Pandas, Gala, and Astroquery.