Metadata-Version: 2.4
Name: xcavation
Version: 0.3.2
Summary: SphereX Data Retrieval and Photometry Toolkit
Home-page: https://github.com/huntbrooks85/xcavation
Author: Hunter Brooks
Author-email: hbrooks8@rockets.utoledo.edu
License: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: astroscrappy
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: astropy
Requires-Dist: astroquery
Requires-Dist: photutils
Requires-Dist: scikit-learn
Requires-Dist: xarray
Requires-Dist: tqdm
Requires-Dist: h5py
Requires-Dist: emcee
Requires-Dist: corner
Requires-Dist: pathos
Requires-Dist: requests
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
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<p align="center">
    <a href="https://ibb.co/pvx3rgVs"><img src="/misc/xcavation-logo.png" width="180%"></a> <br>
</p>

<p align="center">

[![SPHEREx QR2](https://img.shields.io/badge/SPHEREx-QR2-green)](https://irsa.ipac.caltech.edu/data/SPHEREx/docs/overview_qr.html)
[![PyPI version](https://img.shields.io/pypi/v/xcavation)](https://pypi.org/project/xcavation/)
[![PyPI downloads](https://img.shields.io/pypi/dm/xcavation)](https://pypistats.org/packages/xcavation)
[![DOI](https://zenodo.org/badge/18316250.svg)](https://doi.org/10.5281/zenodo.18316250)

</p>


<div align="center">
  <p id="description" > <b>Xcavation</b> is a Python package for rapid forced-photometry calculations of <a href="https://spherex.caltech.edu/">SPHEREx</a> QR2 spectral data. It uses the <code>astroquery.irsa</code> package to access <a href="https://spherex.caltech.edu/">SPHEREx</a> images through the IRSA API. Both aperture and PSF photometry are supported and include multi-threading for improved performance.  </p>
</div>

<div align="center">
  <h2 style="font-size: 2em;"> 🔍 Example 🔎 </h2>
</div>

<div align="center">
  <p style="font-size: 1.2em;"> <b>
      The example notebook is provided through <a href="https://drive.google.com/file/d/1S0iLap2IoNdk4ErpdEyMyipBvJeaJ3ay/view?usp=sharing">Google Colab</a>, as it has excellent internet speed for the image API.
    </b> </p>
</div>

<div align="center">
  <h2 style="font-size: 2em;">🛠️ Installation 🛠️</h2>
</div>

<div align="center">
<pp><b> pip Installation </b><pp>
</div>
<div align="center">
</div>

1. **Download Python:** Visit [here](https://www.python.org/downloads/) to install Python 
2. **Download pip:** Visit [here](https://pip.pypa.io/en/stable/installation/) to install pip
3. **Run Install Command:** Run the command in terminal:
   ```bash
   pip install xcavation

<div align="center">
  <h2 style="font-size: 2em;">📞 Support Team 📞</h2>
</div>

- **Mr. Hunter Brooks**
  - hbrooks8 (at) rockets.utoledo.edu
- **Dr. Michael Cushing**

<div align="center">
  <h2 style="font-size: 2em;">📖 Acknowledgments 📖</h2>
</div>

1. If you intend to publish any calculations done by xcavation, please reference Brooks et al. (in prep.).

2. Please reference the relevant [SPHEREx citations](https://spherex.caltech.edu/page/publications).

