Post by Hosein on Jul 25, 2017 1:57:13 GMT 8
ProFit is a new code for Bayesian two-dimensional photometric galaxy profile modelling. ProFit consists of a low-level c++ library (libprofit), acces- sible via a command-line interface and documented API, along with high-level R (ProFit) and PYTHON (PyProFit) interfaces (available at github.com/ICRAR/libprofit, github.com/ICRAR/ProFit, and github.com/ICRAR/pyprofit respectively). R ProFit is also available pre-built from CRAN, however this version will be slightly behind the latest GitHub version. libprofit offers fast and accurate two- dimensional integration for a useful number of profiles, including Sersic, Core-Sersic, broken-exponential, Ferrer, Moffat, empirical King, point-source and sky, with a simple mechanism for adding new profiles. Compare with GALFIT, ProFit is faster and more accurate.
Borrowed from:
Robotham, A.S.G., Taranu, D.S., Tobar, R., Moffett, A. and Driver, S.P., 2016. ProFit: Bayesian profile fitting of galaxy images. Monthly Notices of the Royal Astronomical Society, 466(2), pp.1513-1541. (arxiv.org/pdf/1611.08586.pdf)
You can dive deeper into the ProFit in the attached manual.
Borrowed from:
Robotham, A.S.G., Taranu, D.S., Tobar, R., Moffett, A. and Driver, S.P., 2016. ProFit: Bayesian profile fitting of galaxy images. Monthly Notices of the Royal Astronomical Society, 466(2), pp.1513-1541. (arxiv.org/pdf/1611.08586.pdf)
You can dive deeper into the ProFit in the attached manual.