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A halo merger tree forms the essential backbone of a semi-analytic model forgalaxy formation and evolution. Recent studies have pointed out that extractingmerger trees from numerical simulations of structure formation is non-trivial;different tree building algorithms can give differing merger histories. Thesedifferences should be carefully understood before merger trees are used asinput for models of galaxy formation. We investigate the impact of differenthalo merger trees on a semi-analytic model. We find that the z=0 galaxyproperties in our model show differences between trees when using a commonparameter set. The star formation history of the Universe and the properties ofsatellite galaxies can show marked differences between trees with differentconstruction methods. Independently calibrating the semi-analytic model foreach tree can reduce the discrepancies between the z=0 global galaxyproperties, at the cost of increasing the differences in the evolutionaryhistories of galaxies. Furthermore, the underlying physics implied can vary,resulting in key quantities such as the supernova feedback efficiency differingby factors of 2. Such a change alters the regimes where star formation isprimarily suppressed by supernovae. Therefore, halo merger trees extracted froma common halo catalogue using different, but reliable, algorithms can result ina difference in the semi-analytic model. Given the uncertainties in galaxyformation physics, however, these differences may not necessarily be viewed assignificant.

Sussing Merger Trees : The Impact of Halo Merger Trees on Galaxy Properties in a Semi-Analytic Model