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Since its launch in 2008, the Fermi Large Area Telescope (LAT) has detectedover 200 -ray pulsars above 100 MeV. This population of pulsars ischaracterised by a rich diversity of light curve morphologies. Researchers havebeen using both the radio and -ray light curves to constrain the inclinationand observer angles for each of these pulsars. At first, this was done using aby-eye technique and later via statistical approaches. We have also developedtwo novel statistical approaches that place the radio and -ray data on equalfooting despite their disparate relative flux errors. We chose eleven pulsarsfrom the Second Fermi Pulsar Catalog, both old and young, and applied these newtechniques as well as the by-eye technique to constrain their geometricparameters using standard pulsar models. We present first results on ourcomparison of the best-fit parameters yielded by each of the aforementionedtechniques. This will assist us in determining the utility of our newstatistical approaches, and gauge the overlap of the best-fit parameters (pluserrors) from each of the different methods. Such a statistical fitting approachwill provide the means for further pulsar magnetospheric model developmentusing light curve data.

Calibration of statistical methods used to constrain pulsar geometries via multiband light curve modelling