Speaker
Description
For this talk I will present synchrofit (synchrotron fitter), which implements a reduced dimensionality parameterisation of standard synchrotron spectrum models, and provides fitting routines applicable for active galactic nuclei and supernova remnants. The Python code includes the Jaffe-Parola model (JP), Kardashev-Pacholczyk model (KP), and continuous injection models (CI/KGJP) for both constant or Maxwell-Boltzmann magnetic field distributions. An adaptive maximum likelihood algorithm is invoked to fit these models to multi-frequency radio observations; the adaptive mesh is customisable for either optimal precision or computational efficiency. Principally, synchrofit is designed to parameterize an integrated radio spectrum by physical properties such as the injection index, break frequency, and (if applicable) the remnant fraction. With knowledge of redshift and magnetic field, these quantities can then be related to the spectral age of the emission (which synchrofit provides functions for). I also show how synchrofit can be adapted to produce spatially-resolved spectral age maps.
