RainbowKit

RainbowKit is a Python toolkit for spectral analysis. It allows you to create spectrum objects and perform various tasks, such as plotting spectra, marking spectral lines, and estimating redshifts from observed spectral transitions.

Features

• Create and manipulate spectrum objects
• Plot flux versus wavelength
• Plot normalized flux
• Mark important spectral lines for analysis
• Estimate redshift from spectral transitions

Installation

You can install RainbowKit using pip:

pip install rainbowkit

RainbowKit requires Python 3.8 or later.

Quick start

Import RainbowKit:

import rainbowkit

RainbowKit includes an example spectrum, which can be loaded directly:

spec = rainbowkit.Spectrum()

or your own spectrum file:

spec = rainbowkit.Spectrum("my_spectrum.dat")

You can then plot the spectrum:

spec.fplot()

or plot the normalized spectrum:

spec.nfplot()

The input file should contain four columns:

1. Wavelength
2. Flux
3. Error
4. Continuum

Important spectral transitions can be marked on the spectrum:

spec.marklines()

The lines can also be shifted according to a redshift:

spec.marklines(z=3.0)

RainbowKit can estimate the redshift of a spectral transition interactively.

For example:

spec.getz("CIV_1548")

After calling this method, click on the observed transition in the plotted spectrum. RainbowKit will calculate and print the corresponding redshift.

Example workflow

A minimal working example:

import rainbowkit

spec = rainbowkit.Spectrum()  # default example spectrum
# For user-provided spectrum
# spec = rainbowkit.Spectrum('my_spectrum.dat')

spec.nfplot()
spec.marklines()

Input Spectrum Format

RainbowKit expects a plain-text spectrum containing four columns:

Column	Description
1	Wavelength
2	Flux
3	Error
4	Continuum

The columns should be separated by whitespace.

Requirements

• Python >= 3.8
• NumPy
• Matplotlib

Acknowledgements

I would like to thank Prof. Sowgat Muzahid at the Inter-University Centre for Astronomy and Astrophysics (IUCAA), who was my MSc supervisor, for his guidance and support during the development of this work.

I am particularly grateful to him for providing the spectral line lists and the example spectrum included with RainbowKit.

License

RainbowKit is released under the MIT License. See the LICENSE file for details.

Author

Sourav Das