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The HEASARC tutorials resource is in BETA and may be subject to significant changes.

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v0.1

  • GitHub
  • About
    • Contributors

Developing skills with HEASARC services

  • Accessing HEASARC Data
    • Using PyVO to find and acquire HEASARC data
  • Accessing HEASARC Catalogs
    • Find specific HEASARC catalogs using Python
    • Exploring the contents of HEASARC catalogs using Python
    • Cross-matching local and HEASARC catalogs using Python

Mission specific tutorials

  • NuSTAR
    • Analyzing a single NuSTAR observation
  • RXTE
    • Exploring RXTE spectral observations of Eta Car
    • Using archived and newly generated RXTE light curves
  • NICER
    • Getting started with NICER data
  • IXPE
    • Getting started with preprocessed IXPE data
  • Swift
    • Getting started with Swift-XRT
  • ROSAT
    • Getting started with ROSAT All Sky Survey data

Useful high-energy tools

  • HEASoftPy
    • Getting started with HEASoftPy
  • pySAS
    • Short introduction to pySAS
  • Repository
  • Suggest edit
  • Open issue
  • .md

RXTE

RXTE#

Here we include notebooks that demonstrate how to use data taken by RXTE.

RXTE tutorials

  • Exploring RXTE spectral observations of Eta Car
    • Learning Goals
    • Introduction
    • Imports & Environments
    • Global Setup
    • 1. Finding the data
    • 2. Acquiring the data
    • 3. Reading the data into PyXspec
    • 4. Exploring model fit results
    • 5. Applying simple unsupervised machine learning to the spectra
    • About this notebook
  • Using archived and newly generated RXTE light curves
    • Learning Goals
    • Introduction
    • Imports & Environments
    • Global Setup
    • 1. Finding the data
    • 2. Acquiring the data
    • 3. Examining the archived RXTE light curves
    • 4. Generating new RXTE-PCA light curves
    • 5. Experimenting with an automated method to identify bursts
    • About this notebook

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Analyzing a single NuSTAR observation

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Exploring RXTE spectral observations of Eta Car

By HEASARC developers

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