written by Jacob Moldenhauer, Larry Engelhardt, and Keenan Stone

The Fitting Cosmological Supernovae Data Model allows users to compare and fit cosmological models with recent supernovae type Ia datasets to confirm the accelerated expansion of the universe.  The 2011 Nobel Prize in Physics was awarded for the discovery of the cosmic acceleration using Supernovae Type Ia.  This simulation allows the user to vary cosmological parameters within a particular class of dark energy cosmological models to fit a particular supernovae dataset.  The simulation can plot several theoretical curves with the supernovae data to compare different models.  The values of these parameters, for a particular model, determine the physical description and evolution of the universe.

The  Fitting Cosmological Supernovae Data Model model was created using Easy Java Simulations (EJS) modeling tool.  It is distributed as a ready-to-run (compiled) Java archive.  Double clicking the ejs_Fitting_Cosmological_Models_Supernovae.jar file will run the program if Java is installed.  You can modify this simulation if you have EJS by right-clicking within the plot and selecting "Open Ejs Model" from the pop-up menu item.

• Download ejs_model_FittingCosmologicalDataSNeGRBDEDGP.jar - 2489kb Java Archive File

Last Modified August 17, 2017

This file has previous versions.

The source code zip archive contains an EJS-XML representation of the Fitting Cosmological Supernovae Data Model.   Unzip this archive in your EJS workspace to compile and run this model using EJS.

• Download ejs_src_FittingCosmologicalDataSNeGRBDEDGP.zip - 138kb Compressed File

Last Modified August 17, 2017

This file has previous versions.