gammapy
0.16

Getting Started

  • Overview
    • Workflow
    • Data reduction
    • Datasets
    • Modeling and Fitting
    • Time analysis
    • Simulation
    • Other topics
    • What next?
      • The Data Level 3 (DL3) format
        • Data levels in CTA
        • Application in gammapy
  • Installation
    • Gammapy Dependencies
      • Required dependencies
      • Optional dependencies
      • Versions
    • Installation with pip
    • Other package managers
  • Getting Started
    • Help!?
    • Check
    • Download tutorials
    • Check your setup
    • Use Gammapy
      • Python
      • IPython
      • Python script
      • Command line
      • Jupyter notebooks
    • Install issues
  • Tutorials
    • Getting started
      • First analysis with gammapy high level interface
        • Prerequisites:
        • Context
        • Proposed approach:
        • Setup
        • Analysis configuration
        • Running the analysis
        • Data reduction
        • Save dataset to disk
        • Model fitting
        • What’s next
      • First analysis with gammapy library API
        • Prerequisites:
        • Context
        • Proposed approach:
        • Setup
        • Defining the datastore and selecting observations
        • Preparing reduced datasets geometry
        • Data reduction
        • Save dataset to disk
        • Define the model
        • Fit the model
        • Plot the fitted spectrum
    • Core tutorials
      • CTA with Gammapy
        • Introduction
        • Tutorial overview
        • Setup
        • CTA 1DC
        • Events
        • IRFs
        • Source models
        • CTA performance files
        • Exercises
        • Next steps
      • H.E.S.S. data with Gammapy
        • DL3 DR1
        • Exercises
        • Next steps
      • Fermi-LAT data with Gammapy
        • Introduction
        • Setup
        • Events
        • Counts
        • Exposure
        • Galactic diffuse background
        • Isotropic diffuse background
        • PSF
        • Fit
        • Exercises
        • Summary
      • CTA data analysis with Gammapy
        • Introduction
        • Setup
        • Select observations
        • Make sky images
        • Source Detection
        • Spatial analysis
        • Spectrum
        • Exercises
        • What next?
      • 3D analysis
        • Analysis configuration
        • Configuration for stacked and joint analysis
        • Stacked analysis
        • Joint analysis
        • Summary
        • Exercises
      • 3D simulation and fitting
        • Prerequisites
        • Context
        • Proposed approach:
        • Imports and versions
        • Simulation
        • Fit
      • Spectral analysis with Gammapy
        • Prerequisites
        • Context
        • Introduction
        • Setup
        • Load Data
        • Define Target Region
        • Create exclusion mask
        • Run data reduction chain
        • Plot off regions
        • Source statistic
        • Fit spectrum
        • Compute Flux Points
        • Stack observations
        • Exercises
        • What next?
      • Flux point fitting in Gammapy
        • Prerequisites
        • Context
        • Proposed approach
        • Setup
        • Load spectral points
        • Power Law Fit
        • Exponential Cut-Off Powerlaw Fit
        • Log-Parabola Fit
        • Exercises
        • What next?
      • Light curve estimation
        • Prerequisites
        • Context
        • Proposed approach
        • Setup
        • Analysis configuration
        • Light Curve estimation: by observation
        • Running the light curve extraction in 1D
        • Night-wise LC estimation
        • What next?
      • Light curve - Flare
        • Prerequisites:
        • Context
        • Proposed approach:
        • Setup
        • Select the data
        • Define time intervals
        • Filter the observations list in time intervals
        • Building 1D datasets from the new observations
        • Define the Model
        • Extract the light curve
      • Spectrum simulation
        • Prerequisites
        • Context
        • Proposed approach:
        • Setup
        • Simulation of a single spectrum
        • Exercises
      • Modeling and fitting 2D images using Gammapy
        • Prerequisites:
        • Context:
        • Objective:
        • Proposed approach:
        • Setup
        • Creating the config file
        • Getting the reduced dataset
        • Modelling
      • Ring Background Estimation
        • Context:
        • Objective:
        • Proposed approach:
        • Setup
        • Creating the config file
        • Getting the reduced dataset
        • Extracting the ring background
        • Compute correlated significance and correlated excess maps
    • Advanced tutorials
      • Joint modeling, fitting, and serialization
        • Prerequisites
        • Context
        • Proposed approach
        • The setup
        • Data and models files
        • Reading different datasets
        • Datasets serialization
        • Joint analysis
      • Spectral analysis of extended sources
        • Prerequisites:
        • Context
        • Proposed approach:
        • Setup
        • Select the data
        • Prepare the datasets creation
        • Perform the data reduction loop.
        • Explore the results
        • Perform spectral model fitting
      • Source detection with Gammapy
        • Context
        • Proposed approach
        • Setup
        • Read in input images
        • Adaptive smoothing
        • TS map estimation
        • Source candidates
        • What next?
      • Estimation of the CTA point source sensitivity
        • Introduction
        • Setup
        • Define analysis region and energy binning
        • Load IRFs and prepare dataset
        • Compute sensitivity
        • Results
        • Exercises
      • Modeling and fitting 2D images using Gammapy
        • Prerequisites:
        • Context:
        • Objective:
        • Proposed approach:
        • Setup
        • Creating the config file
        • Getting the reduced dataset
        • Modelling
      • Ring Background Estimation
        • Context:
        • Objective:
        • Proposed approach:
        • Setup
        • Creating the config file
        • Getting the reduced dataset
        • Extracting the ring background
        • Compute correlated significance and correlated excess maps
      • Getting started with Gammapy
        • Introduction
        • Setup
        • Maps
        • Event lists
        • Source catalogs
        • Spectral models and flux points
        • What next?
      • Gammapy Maps
        • Introduction
        • Setup
        • Creating WCS Maps
        • Accessing and Modifying Data
        • Reading and Writing
        • Visualizing and Plotting
        • Interpolating and Miscellaneous
      • Modeling and fitting
      • Gammapy Models
      • Setup
      • Spectral Models
      • Spatial Models
      • SkyModel and SkyDiffuseCube
      • Model Lists and Serialisation
      • Implementing a Custom Model
      • Source catalogs
        • List available catalogs
        • Load catalogs
        • Select a source
        • Pretty-print source information
        • Source models
        • Flux points
        • Lightcurves
        • Catalog table and source dictionary
        • Exercises
        • Next steps
    • Scripts
      • Survey map
    • Extra topics
      • Dark matter utilities
        • Introduction
        • Setup
        • Profiles
        • J Factors
        • Gamma-ray spectra at production
        • Flux maps
      • Make template background model
        • Introduction
        • Setup
        • Select off data
        • Background model
        • Zenith dependence
        • Index tables
        • Exercises
      • Fitting and error estimation with MCMC
        • Introduction
        • Simulate an observation
        • Estimate parameter correlations with MCMC
        • Plot the results
        • Plot the model dispersion
        • Fun Zone
        • PeVatrons in CTA ?
      • Pulsar analysis with Gammapy
        • Introduction
        • Opening the data
        • Phasogram
        • Phase-resolved map
        • Phase-resolved spectrum
  • How To
    • Access IACT data
    • Check IRFs
    • Extract 1D spectra
    • Extract a lightcurve
    • Compute source significance
    • Compute cumulative significance
    • Detect sources in a map
    • Astrophysical source modeling
  • Glossary and references
    • Glossary
    • Publications
    • Other gamma-ray packages
    • Other useful packages
  • Changelog
    • 0.16 (Feb 1, 2020)
      • Summary
      • Pull Requests
    • 0.15 (Dec 3, 2019)
      • Summary
      • Pull Requests
    • 0.14 (Sep 30, 2019)
      • Summary
      • Pull Requests
    • 0.13 (Jul 26, 2019)
      • Summary
      • Pull Requests
    • 0.12 (May 30, 2019)
      • Summary
      • Pull Requests
    • 0.11 (Mar 29, 2019)
      • Summary
      • Pull requests
    • 0.10 (Jan 28, 2019)
      • Summary
      • Pull requests
    • 0.9 (Nov 29, 2018)
      • Summary
      • Pull requests
    • 0.8 (Sep 23, 2018)
      • Summary
      • Pull requests
    • 0.7 (Feb 28, 2018)
      • Summary
      • Pull requests
    • 0.6 (Apr 28, 2017)
      • Summary
      • Pull requests
    • 0.5 (Nov 22, 2016)
      • Summary
      • Pull requests
    • 0.4 (Apr 20, 2016)
      • Summary
      • Pull requests
    • 0.3 (Aug 13, 2015)
      • Summary
      • Pull requests
    • 0.2 (Apr 13, 2015)
      • Summary
      • Pull requests
    • 0.1 (Aug 25, 2014)
      • Summary
      • Pull requests

Gammapy Package

  • analysis - High-level interface
    • Introduction
    • Getting started
    • Configuration and methods
      • General settings
      • Observations selection
      • Data reduction and datasets
      • Model
      • Fitting
      • Flux points
      • Residuals
      • Using the high-level interface
    • Reference/API
      • gammapy.analysis Package
        • Classes
  • modeling - Models and fitting
    • Introduction
    • Tutorials
    • Reference/API
      • gammapy.modeling Package
        • Functions
        • Classes
      • gammapy.modeling.models Package
        • Functions
        • Classes
        • Variables
  • cube - Map cube analysis
    • Introduction
    • Getting Started
    • Safe Data Range Handling
    • Stacking of Datasets
    • Combining Data Reduction Steps
    • Ring Background Estimation
    • Using gammapy.cube
    • Reference/API
      • gammapy.cube Package
        • Functions
        • Classes
  • spectrum - 1D spectrum analysis
    • Introduction
    • Getting Started
    • Using gammapy.spectrum
      • Spectral Fitting
        • Getting Started
        • Interactive Sherpa Fit
      • Reflected regions background
        • Overview
        • Using regions
        • The reflected region finder
        • Using the reflected background estimator
    • Reference/API
      • gammapy.spectrum Package
        • Functions
        • Classes
  • time - Time analysis
    • Introduction
    • Lightcurve
    • Light Curve Extraction
    • Variability and periodicity tests
    • Tutorials
    • Using gammapy.time
      • Period detection and plotting
        • Introduction
        • Getting Started
        • Example
    • Reference/API
      • gammapy.time Package
        • Functions
        • Classes
  • detect - Source detection
    • Introduction
    • Computation of TS images
    • Computation of Li & Ma significance images
    • Using gammapy.detect
    • Reference/API
      • gammapy.detect Package
        • Functions
        • Classes
  • data - Data and observations
    • Introduction
    • Getting Started
    • Using gammapy.data
    • Reference/API
      • gammapy.data Package
        • Classes
        • Variables
  • irf - Instrument response functions
    • Introduction
    • Getting Started
    • Effective area
    • Background
    • PSF
    • Energy Dispersion
    • Using gammapy.irf
      • IRF Theory
        • Modeling the expected number of detected events
        • The Instrument Response Functions
      • Effective area
      • Energy dispersion
      • Point Spread Function
    • Reference/API
      • gammapy.irf Package
        • Functions
        • Classes
  • maps - Sky maps
    • Introduction
    • Getting Started
      • Constructing with Factory Methods
      • Indexing and Slicing
      • Accessor Methods
      • Interface with MapCoord and SkyCoord
      • Differential and integral maps
      • MapCoord
      • Interpolation
      • Iterating by image
      • FITS I/O
      • Visualization
    • Examples
      • Creating counts cubes from event lists
      • Generating a Cutout of a Model Cube
    • Using gammapy.maps
      • HEALPix-based Maps
        • HEALPix Geometry
      • Image plotting
        • Colormaps
    • Reference/API
      • gammapy.maps Package
        • Functions
        • Classes
  • catalog - Source catalogs
    • Introduction
    • Tutorials
    • Reference/API
      • gammapy.catalog Package
        • Classes
        • Variables
  • astro - Astrophysics
    • Introduction
    • Getting Started
    • Sub-packages
      • Astrophysical source models (gammapy.astro.source)
        • Introduction
        • Getting Started
        • Using gammapy.astro.source
        • Reference/API
      • Astrophysical source population models (gammapy.astro.population)
        • Introduction
        • Getting Started
        • Reference/API
      • Dark matter (gammapy.astro.darkmatter)
        • Introduction
        • Other packages
        • Using gammapy.spectrum
        • Reference/API
  • stats - Statistics
    • Introduction
    • Getting Started
      • Li & Ma Significance
      • Confidence Intervals
    • Using gammapy.stats
      • Feldman and Cousins Confidence Intervals
        • Examples
        • Acceptance Interval Fixing
        • Sensitivity
        • General Case
      • Fit statistics
        • Introduction
        • Cash : Poisson data with background model
        • WStat : Poisson data with background measurement
        • Further references
      • Derivation of the WStat formula
        • Profile Likelihood
        • Goodness of fit
        • Final result
        • Special cases
    • Reference/API
      • gammapy.stats Package
        • Functions
  • utils - Utilities
    • Introduction
    • Time handling in Gammapy
      • Time format and scale
      • Mission elapsed times (MET)
      • Time differences
    • Reference/API
      • gammapy.utils.units Module
        • Functions
      • gammapy.utils.coordinates Package
        • Functions
        • Variables
      • gammapy.utils.integrate Module
        • Functions
      • gammapy.utils.interpolation Module
        • Functions
        • Classes
      • gammapy.utils.table Module
        • Functions
      • gammapy.utils.fits Module
        • Gammapy FITS utilities
        • Functions
      • gammapy.utils.random Package
        • Functions
        • Classes
      • gammapy.utils.regions Module
        • Functions
      • gammapy.utils.scripts Module
        • Functions
      • gammapy.utils.testing Module
        • Functions
        • Classes
      • gammapy.utils.nddata Module
        • Classes
      • gammapy.utils.time Module
        • Functions
  • scripts - Command line tools
    • Introduction
      • Execute
      • Command not found
      • Example
    • Reference
      • gammapy
        • analysis
        • check
        • download
        • info
        • jupyter
    • Implementation
    • Limitations
    • Plan
    • Write your own CLI
    • Reference/API

Developer Documentation

  • Developer documentation
    • How to contribute to Gammapy?
    • Gammapy project setup
    • Developer HOWTO
    • How to make a Gammapy release
    • PIGs
      • PIG 1 - PIG purpose and guidelines
      • PIG 2 - Organization of low-level analysis code
      • PIG 3 - Plan for dropping Python 2.7 support
      • PIG 4 - Setup for tutorial notebooks and data
      • PIG 5 - Gammapy 1.0 Roadmap
      • PIG 6 - CTA observation handling
      • PIG 7 - Models
      • PIG 8 - Datasets
      • PIG 9 - Event Sampling
      • PIG 10 - Regions
      • PIG 11 - Light curves
      • PIG 12 - High-level interface
      • PIG 13 - Gammapy dependencies and distribution
      • PIG 14 - Uncertainty estimation
      • PIG 16 - Gammapy package structure
      • PIG 18 - Documentation
    • Data Formats
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