Jupyter Notebook TutorialsΒΆ

  • Finding BATSE Data Tutorial

    BATSE Data is hosted publicly on the HEASARC FTP server via the Fermi Science Support Center and via Amazon Webservices (AWS), and is stored in a consistent directory structure. Learn how to earch the HEASARC FTP server or AWS for trigger data and continuous data, as well as how to search the BATSE catalogs.

  • Exploring CGRO Times

    This quick tutorial explores the CGRO/BATSE mission time system and how to convert CGRO times to other time systems.

  • Exploring BATSE PHAII Data

    PHAII data is one of the primary types of science data provided by BATSE, and is temporally pre-binned. The two continuous types of PHAII data are CONT and DISCLA, where CONT has 16 energy channels and DISCLA has 4 energy channels. These continusou data are stored in multi-detector PHAII files.Snippets of these data types are also provided for the time around triggers. These files are typically stored one per detector.Learn how to plot the lightcurves and count spectra of gamma-ray bursts using CONT and DISCLA data.

  • Exploring BATSE TTE Data

    TTE (Time-Tagged Event) data is one of the primary types of science data provided by BATSE, and is temporally unbinned. Learn how to plot the lightcurves and count spectra of gamma-ray bursts using TTE data.

  • Exploring BATSE Detector Responses

    Detector response files allow you to compare a theoretical photon spectrum to an observed count spectrum. One file contains one or more detector response matrices, encoding the energy dispersion and calibration of incoming photons at different energies to to recodered energy channels. This matrix encodes the effective area of the detection as a function of energy for a given source posiion.Learn how to read, manipulate, and plot detector response matrices in files containing a single detctor or multiple detectors.

  • Plotting_BATSE_trigger_lightcurves

    BATSE has numerous trigger data types with several different time and energy resolutions. Trigger data files starting with s come from the smaller spectroscopy detectors while the rest of the files are from the LAD detectors. Learn to retrieve and plot data for the various trigger data types in this tutorial.

  • BATSE Spectral fitting tutorial: single detector

    Often, one would like to perform a spectral fit on BATSE data. The following workflow will guide you through a simple example of this process. Learn how to fit BATSE spectral data, generating a background fit, extracting a source spectrum, and using the detector response to fit a model to the spectrum for a single detector.

  • BATSE Spectral fitting tutorial multiple detectors

    This tutorial builds on the BATSE single detector spectral analysis tutorial and demonstrates how a user can employ tools within the gdt-core package to combine data from multiple BATSE detectors into a single fit.

  • BATSE Detector Definitions tutorial

    BATSE had 16 detectors, 8 large area detectors (LADs) and 8 Spectroscopy Detectors (SDs). This brief tutorial demonstrates options for listing and referring to BATSE detectors.

  • CGRO Spacecraft Frame tutorial

    This brief tutorial allows users to explore manually defining the CGRO spacecraft frame. This is done automatically when reading in CGRO data.

  • BATSE FITS Headers tutorial

    This brief tutorial allows users to explore default values for BATSE FITS headers. These headers are automatically read in when using BATSE data.