出版社：SISSA, Scuola Internazionale Superiore di Studi Avanzati
摘要：The analysis of the light distribution of galaxy is a crucial step in studying their structural components
and therefore it plays a key role in understanding the processes that led to galaxy formation
and evolution. For example, this allows to investigate the 3D shape of bulges and disks or when
combined with kinematic data to derive the mass distribution of the luminous matter of galaxies
in order to constrain their dark matter content.
Conventional bulge-disk photometric decompositions based on elliptically averaged surfacebrightness
proles are subject to strong systematic errors due to the different intrinsic shapes
of bulge and disk and to the viewing angle of the galaxy (e.g., [1]). Several 2D decomposition
techniques have been developed in the last years (e.g., [2], [3]).
Here we present an automatic and 2D parametric photometric decomposition to derive the parameters
of the structural components of disk galaxies. It differs from the previous ones for the
choice of guess parameters, seeing convolution, and allowing free position angles for bulge and
disk. The tting algorithm adopts a Sérsic and exponential model for the bulge and disk component,
respectively. Our aim is to apply our code for photometric decomposition to study high and
low surface-brightness galaxies.
