Advanced Analysis Methods

This page documents some of the more advanced methods and features available in Fermipy:

  • PS Map: Generate a PS map quantifying the data/model agreement using the algorithm described in Bruel P. (2021), A&A, 656, A81. (doi:10.1051/0004-6361/202141553).

  • TS Map: Generate a test statistic (TS) map for a new source centered at each spatial bin in the ROI.

  • TS Cube: Generate a TS map using the gttscube ST application. In addition to generating a TS map this method can also extract a test source likelihood profile as a function of energy and position over the whole ROI.

  • Residual Map: Generate a residual map by evaluating the difference between smoothed data and model maps (residual) at each spatial bin in the ROI.

  • Source Finding: Find new sources using an iterative source-finding algorithim. Adds new sources to the ROI by looking for peaks in the TS map.

  • SED Analysis: Extract the spectral energy distribution of a source with the sed method. This method fits the source amplitude in a sequence of energy bins.

  • Curvature test: Quickly test for spectral curvature with the curvature method.

  • Light Curves: Extract the lightcurve of a source with the lightcurve method. This method fits the source amplitude in a sequence of time bins.

  • Extension Fitting: Fit the angular extension of a source with the extension method.

  • Source Localization: Find the best-fit position of a source with the localize method.

  • Phased Analysis: Instructions for performing a phased-selected analysis.

  • Sensitivity Tools: Scripts and classes for estimating sensitivity.