Poster abstract details

We have written a code which calculates temperatures, densities, and chemical abundances from both forbidden and permitted transitions in photoionized nebulae, and which quickly and robustly calculates the associated statistical uncertainties using a Monte Carlo technique. We apply this code to a number of objects. For spectra with low signal to noise, typical assumptions of Gaussian uncertainty distributions break down, and uncertainty distributions are significantly non-symmetrical. We also use the code to estimate the significance of systematic uncertainties such as those introduced by the choice of atomic data. We find that these uncertainties can be comparable with the statistical uncertainties.