PNICER: Extinction estimator

Author(s)

Stefan Meingast, Marco Lombardi, João Alves

Abstract

PNICER estimates extinction for individual sources and creates

extinction maps using unsupervised machine learning algorithms.

Extinction towards single sources is determined by fitting Gaussian

Mixture Models along the extinction vector to (extinction-free) control

field observations. PNICER also offers access to the well-established

NICER technique in a simple unified interface and is capable of building

extinction maps including the NICEST correction for cloud substructure.

Organisation(s)

Department of Astrophysics

Journal

Astrophysics Source Code Library

Publication date

11-2020

Peer reviewed

Yes

Austrian Fields of Science 2012

103003 Astronomy

Keywords

Portal url