NBursts: Simultaneous Extraction of Internal Kinematics and Parametrized SFH from Integrated Light Spectra

TL;DR

This paper introduces NBursts, a new method for extracting stellar population parameters and internal kinematics from integrated light spectra by fitting templates in pixel space, applicable to IFU and multi-object spectroscopy.

Contribution

It presents a novel simultaneous fitting technique that combines kinematic and star formation history analysis from integrated spectra, improving over previous separate methods.

Findings

Successfully applied to low-luminosity early type galaxy spectra.

Demonstrated accurate extraction of kinematic and stellar population parameters.

Enhanced analysis capabilities for galaxy spectroscopy data.

Abstract

We present a novel approach for simultaneous extraction of stellar population parameters and internal kinematics from the spectra integrated along a line of sight. We fit a template spectrum into an observed one in a pixel space using a non-linear $\chi^2$ minimization in the multidimensional parameter space, including characteristics of the line-of-sight velocity distribution (LOSVD) and parametrized star formation history (SFH). Our technique has been applied to IFU and multi-object spectroscopy of low-luminosity early type galaxies.