PyKinematicalBroadening 0.0.6

Extragalactic Kinematics is an exciting tool that utilizes a kernel (e.g., Gaussian) to broaden models in velocity space, resulting in a highly accurate and detailed output. With this repository, you can easily apply kinematical broadening to your models and gain valuable insights into extragalactic kinematics.

PyKinematicalBroadening

email: [e-mail], [e-mail]

© Copyright ®

J.G. - Jean Gomes

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RESUME

PyKinematicalBroadening is an Extragalactic Kinematics repository for applying a kernel in velocity space to models in order to obtain the respective broadened model. This is a python code that performs kinematical broadening of a spectrum by applying a kernel in velocity space to a model, and obtaining the respective broadened model. The code defines the function broadening, which performs the convolution with a Gaussian kernel. The kernel is generated using a certain number of points, which can be set with the Ni_Gauss parameter. The code then reads in a test spectrum from a file, interpolates it onto a set of equally spaced wavelength values, and then plots the original and broadened spectra for different velocity dispersions.

In detail, the GaussianConvolution function convolves a given input spectrum fluxes_o defined at wavelengths lambda_o with a Gaussian kernel of width vd_sigma and mean velocity vc0_gals. The kernel is defined with Ni_Gauss points, which should be at least as large as vd_sigma. The output spectrum is defined at wavelengths lambda_s, and is returned as fluxes_s. The fill_val parameter defines the value to use for regions outside of the original wavelength range, and verbosity controls the level of detail of console output.

The main code reads in a test spectrum from a file and interpolates it onto a set of equally spaced wavelength values. It then loops over different velocity dispersions and calls 'broadening' for each one, broadening the spectrum and plotting the results.

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INSTALLATION

You can easily install PyKinematicalBroadening by using pip - PyPI - The Python Package Index:

pip install PyKinematicalBroadening

or by using a generated conda repository https://anaconda.org/neutrinomuon/PyKinematicalBroadening:

conda install -c neutrinomuon PyKinematicalBroadening

OBS.: Linux, OS-X ad Windows pre-compilations available in conda.

You can also clone the repository and install by yourself in your machine:

git clone https://github.com/neutrinomuon/PyKinematicalBroadening
python setup.py install

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EXAMPLE

Example of the test_spectrum test_spectrum.spec successively broadened by different velocity dispersions in [km/s]. The code is not optimized for cpu speed, but it shows the principle of how it works.

LICENSE

Attribution-NonCommercial-NoDerivatives 4.0 (CC BY-NC-ND 4.0)

Creative Commons Attribution-NonCommercial-NoDerivs (CC-BY-NC-ND)