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The sensitivity of the Large Area Telescope (LAT) aboard the Fermi Gamma-raySpace Telescope allows detection of thousands of new gamma-ray sources anddetailed characterization of the spectra and variability of bright sources.Unsurprisingly, this increased capability leads to increased complexity in dataanalysis. Likelihood methods are ideal for connecting models with data, but thecomputational cost of folding the model input through the multi-scaleinstrument response function is appreciable. Both interactive analysis andlarge projects---such as analysis of the full gamma-ray sky---can beprohibitive or impossible, reducing the scope of the science possible with theLAT. To improve on this situation, we have developed pointlike, a softwarepackage for fast maximum likelihood analysis of LAT data. It is interactive bydesign and its rapid evaluation of the likelihood facilitates exploratory andlarge-scale, all-sky analysis. We detail its implementation and validate itsperformance on simulated data. We demonstrate its capability for interactiveanalysis and present several all-sky analyses. These include a search for newgamma-ray sources and the selection of LAT sources with pulsar-likecharacteristics for targeted radio pulsation searches. We conclude bydeveloping sensitive periodicity tests incorporating spectral informationobtained from pointlike.

Likelihood Methods for the Detection and Characterization of Gamma-ray Pulsars with the Fermi Large Area Telescope