GWInSpect
Gravitational Wave Inflationary Spectra
GWInSpect is a lightweight, research-grade Python package that computes:
- The present-epoch spectral energy density of first-order inflationary gravitational waves, $\Omega_{\rm GW}(f) $, produced by a given (user-defined) post-inflationary expansion history.
- Verifies whether the BBN constraint on (integrated) gravitational wave energy density is satisfied.
📦 Installation
Install GWInSpect by running any one of the following commands in your terminal.
1. ✅ From PyPI (Recommended)
pip install gwinspect
2. 🧪 From GitHub
pip install git+https://github.com/athul104/GWInSpect.git
3. 🛠️ Cloning repo (to make an editable copy of the package in your local system)
git clone https://github.com/athul104/GWInSpect.git
cd GWInSpect
pip install -e .
📋 Requirements
The following necessary libraries will be automatically installed when you install GWInSpect.
- Python 3.9 or later
numpy >= 1.21scipy >= 1.9mpmath >= 1.2.0
📓 Tutorial Notebook
The package includes a tutorial notebook under examples/tutorial_gwinspect.ipynb
🧱 Package Structure
Each module is independently documented and demonstrated in the tutorial notebook.
-
spectrum.pycompute_omega_gw
Computes $\Omega_{\rm GW}(f)$ for a user defined post-inflationary history of the Universe consisting of a sequence of pre-hot Big Bang epochs, each with a constant equation of state.
-
constraints.pycheck_bbn
Computes BBN constraint integral piecewise for the user defined sequence of post-inflationary epochs.
-
cosmo_tools.pyUtilities for cosmological parameter conversions:temp_of_EConvert temperature to energy scaleenergy_of_TConvert energy scale to temperaturefreq_of_TConvert temperature to present-day frequency of gravitational wavescompute_efoldsCompute the duration of each epoch in terms of number of $e$-folds
-
thermo.py- Functions to compute $g_{*}(T), g_{s}(T)$ from fitting functions given in K. Saikawa and S. Shirai arXiv:1803.01038.
- Key functions:
g_starandg_s - Users can also load the pre-computed data of [temperature $T$, $g_{*}(T)$, $g_{s}(T)$, energy($T$)] stored in
src\gwinspect\data\eff_rel_dof.txtusingload_eff_rel_dof()
-
constants.py- Contains constants: reduced Planck mass
m_P, present CMB temperatureT0, scalar amplitudeA_S, Present radiation density parameteromega_rad0, BBN temperatureT_bbn, matter-radiation equality temperatureT_eq - Users can also redefine the values of this conatant using
set_constants
- Contains constants: reduced Planck mass
📚 Citation
This package accompanies the paper:
Swagat S. Mishra & Athul K. Soman (2025)
Morphological Zoo of Inflationary Gravitational Wave Spectra imprinted by a Sequence of Post-Inflationary Epochs
arXiv:2510.25672
If you use GWInSpect in academic work, please cite:
@article{Mishra:2025nnu,
author = "Mishra, Swagat S. and Soman, Athul K.",
title = "{Morphological Zoo of Inflationary Gravitational Wave Spectra imprinted by a Sequence of Post-Inflationary Epochs}",
eprint = "2510.25672",
archivePrefix = "arXiv",
primaryClass = "astro-ph.CO",
month = "10",
year = "2025"
}
🛠 License
GPL-3.0-or-later
©️ GWInSpect authors (2025)
🙋 Feedback
Thank you for your interest in GWInSpect 💜.
Please report issues or suggestions at:
github.com/athul104/GWInSpect/issues
Metadata
Release files for gwinspect 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gwinspect-1.0.0.tar.gz | 1.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gwinspect-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.3 MB
Release files / gwinspect-1.0.0.tar.gz
| Download URL | gwinspect-1.0.0.tar.gz |
|---|---|
| Size | 1.1 MB |
| Tags | Source |
|
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Release files / gwinspect-1.0.0-py3-none-any.whl
| Download URL | gwinspect-1.0.0-py3-none-any.whl |
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| Size | 1.2 MB |
| Tags | Python 3 |
|
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