This page documents some of the more advanced methods and features available in Fermipy:
tsmap: Generate a test statistic (TS) map for a new source centered at each spatial bin in the ROI.tscube: 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.residmap: Generate a residual map by evaluating the difference between smoothed data and model maps (residual) at each spatial bin in the ROI.findsources: Find new sources using an iterative source-finding algorithim. Adds new sources to the ROI by looking for peaks in the TS map.sed: Compute the spectral energy distribution of a source by fitting its amplitude in a sequence of energy bins.lightcurve: Compute the lightcurve of a source by fitting its amplitude in a sequence of time bins.extension: Fit the angular extension of a source.localization: Find the best-fit position of a source.phased: Instructions for performing a phased-selected analysis.sensitivity: Scripts and classes for estimating sensitivity.
sed lightcurve extension tsmap tscube residmap detection localization phased sensitivity