3D BAROLO: a new 3D algorithm to derive rotation curves of galaxies
By E. D. Teodoro, Filippo Fraternali. 2015
265 citations recorded by the source corpus.
We present ^{3{D}}BAROLO,† a new code that derives rotation curves of galaxies from emission-line observations. This software fits 3D tilted-ring models to spectroscopic data cubes and can be used with a variety of observations: from H I and molecular lines to optical/IR recombination lines. We describe the structure of the main algorithm and show that it performs much better than the standard 2D approach on velocity fields. A number of successful applications, from high to very low spatial resolution data are presented and discussed. ^{3D}BAROLO can recover the true rotation curve and estimate the intrinsic velocity dispersion even in barely resolved galaxies (˜2 resolution elements) provided that the signal to noise of the data is larger than 2-3. It can also be run automatically thanks to its source-detection and first-estimate modules, which make it suitable for the analysis of large 3D data sets. These features make ^{3D}BAROLO a uniquely useful tool to derive reliable kinematics for both local and high-redshift galaxies from a variety of different instruments including the new generation Integral Field Units, ALMA and the SKA pathfinders.
Subfields: Astronomy and Astrophysics, Instrumentation
View Paper: https://www.semanticscholar.org/paper/c576934eeaaaec95fb003a78a22e2d63fcbd42eb
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In Astronomy and Astrophysics
In Instrumentation
- Justin I. Read
- O. Agertz
- G. Iorio
- Filippo Fraternali
- L. Strigari
- Romain Teyssier
- O. Gerhard
- A. Dekel
Citations in the corpus
- Understanding the shape and diversity of dwarf galaxy rotation curves in ΛCDM (2016, methodology): “In §3, we describe our data compilation for NGC 6822, WLM and IC 1613, and we briefly describe the 3DBarolo method for extracting rotation curves from these data (Di Teodoro & Fraternali 2015).”
- The stellar mass-halo mass relation of isolated field dwarfs : a critical test of ΛCDM at the edge of galaxy formation (2016, methodology): “…focus on building a particularly clean sample of rotation curves, derived in a consistent manner and with a stateof-the-art technique 3DBarolo (Di Teodoro & Fraternali 2015; Iorio et al. 2016); (ii) we perform our comparison at M∗ <∼ 108 M , maximising the constraints on cosmological models; and…”