TA-DA: a Tool for Astrophysical Data Analysis
Nicola Da Rio, Massimo Robberto

TL;DR
TA-DA is a user-friendly software tool that simplifies the analysis of stellar photometric data and enables the derivation of stellar parameters using theoretical models and multi-band observations.
Contribution
The paper introduces TA-DA, a flexible IDL-based software that streamlines stellar data analysis and parameter estimation from multi-band photometry.
Findings
TA-DA effectively interpolates stellar models and computes synthetic photometry.
It enables Bayesian derivation of stellar parameters and extinction.
The software is accessible via a graphical user interface.
Abstract
We present TA-DA, a new software aimed at greatly simplify and improve the analysis of stellar photometric data in comparison with theoretical models, and allow the derivation of stellar parameters from multi-band photometry. Its flexibility allows one to address a number of such problems: from the interpolation of stellar models, or sets of stellar physical parameters in general, to the computation of synthetic photometry in arbitrary filters or units; from the analysis of observed color-magnitude diagrams, to a Bayesian derivation of stellar parameters (and extinction) based on multi-band data. TA-DA is available as a pre-compiled IDL widget-based application; its graphical user interface makes it considerably user-friendly. In this paper we describe the software and its functionalities.
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomical Observations and Instrumentation · Astronomy and Astrophysical Research
