Tutorials

These tutorial Jupyter notebooks demonstrate basic GOPREAUX functionality, including loading data, fitting collections of transients, and working with final template models.

• Loading data for a transient object
  • Introduction
  • Setup
  • 1. The Catalog of Archival Astronomical Transients
  • 2. The SN object
  • 3. Processing the data
  • 4. Iteratively warping the input photometry
  • 5. Plotting photometry for an entire class
  • Next steps
• Saving a new SN object to the CAAT database
  • Introduction
  • Setup
  • 1. Initializing a new SN object
  • 2. Saving the new SN info
  • 3. Saving the new SN data
  • 4. Conclusions
• Fitting a Gaussian Process model to a transient class
  • Introduction
  • Setup
  • 1. GP fitting in 1 dimension
  • 2. Multidimensional GP Fitting
  • Next steps:
• Create a new GP model from a collection of SNe
  • Introduction
  • 1. Defining our sample
  • 2. Constructing our GP model
  • 3. Saving our new GP model
• Using a Gaussian Process model object
  • Introduction
  • Setup
  • 1. Load a saved model object
  • 2. Predict a light curve and compare a light curve to observed photometry
  • 3. Predict an SED and compare an SED to observed spectra
  • 4. Produce synthetic photometry for a class of objects
  • 5. Fit input photometry of a new object
  • 6. Fit photometry of a SN object
  • 7. Predict photometry for a SN outside its data range
  • Next steps: