LUCI-package 0.0.3

A data analysis pipeline for SITELLE data cubes

Welcome to LUCI

In this document, you will find a brief description of what LUCI is, how to install it (her), where to go to find examples, documentation, and more!

What is LUCI

LUCI is a general purpose fitting pipeline built specifically with SITELLE IFU data cubes in mind; however, if you need to fit any emission line spectra, LUCI will be able to help! Although other codees exist, we built LUCI specifically with the user in mind. Thanks to the clear coding practices used in creating LUCI and her detailed documentation, users can modify the code easily by changing numerical solvers. Additionally, we implemented a Bayesian Inference algorithm using MCMC (using emcee) to derive uncertainty estimates.

Installing LUCI

We have tried to make the installation of LUCI as smooth and painless as possible; however, if you have suggestions, please reach out to us. Below are our instructions for installing on a linux/MacOS-based distribution.

1. Clone this repository . I suggest cloning it in Documents or Applications. git clone https://github.com/crhea93/LUCI.git
2. Enter repository wherever you cloned it. cd LUCI
3. Create luci environment using the following command: conda env create -f luci.yml. Now, whenever you wish to use LUCI, you can load the environment by simply typing the following into your terminal: conda activate luci.

Now you are all set to use Luci! To load the module into a python file or jupyter notebook simply add the following lines:

import sys
sys.path.insert(0, '/the/path/to/LUCI/')
import Luci

What to use LUCI for

LUCI is, of course, first and foremost a fitting algorithm. In order to ease the pain of fitting IFU data cubes, we have built several wrappers for the fitting functions (these can be found in Luci/LuciFit.py). These functionalities include, but are not limited to, reading in a data cube in the HDF5 format (LUCI()), fitting the entire data cube (LUCI.fit_entire_cube), fitting a region or masked region of the cube (LUCI.fit_region()), extracting and fitting an integrated region (LUCI.fit_spectrum_region, creating a deep image (LUCI.create_deep_image), and building a Signal-to-Noise ratio map of the cube (LUCI.create_snr_map).

You can also access the fitting directly by circumventing the LUCI wrappers and directly accesing the fitting algorithms (Luci.LuciFitting). With this, you can fit any spectrum using the Luci.LuciFitting.fit and Luci.LuciFitting.bayes_fit algorithms. We also provide basic plotting functionality which can be found in Luci.LuciPlotting.

Where to find examples

Examples are paramount to the success of any open source code. Therefore, we have tried to make our examples as complete as possible. That said, we surely have forgotten something! If you wish to see an example that does not exist (or for an example to be better explained), please shoot us an email or open up an issue!

All examples can be found in two locations. Read-through examples can be found on our read the docs (https://crhea93.github.io/LUCI/index.html) page while jupyter notebooks can be found in the Examples folder. I suggest starting with https://crhea93.github.io/LUCI/example_basic_lite.html.

Where to find documentation

Documentation can also be found on our read the docs (https://luci-fitting.readthedocs.io/en/latest/) page. In addition to documentation on each function in LUCI, you can also find a description of what LUCI calculates and how she does what she does!

Contributing

If you wish to contribute, that's awesome! Please shoot me an email at [e-mail]. The easiest way to get involved is to make an issue or fork the repo, make your changes, and submit a well-documented pull request.

Contact

If you have any questions about how to install, use, or modify LUCI, please send an email to Carter Rhea.

Copyright & License

2021 Carter Rhea ([e-mail])

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with this program. If not, see https://www.gnu.org/licenses/.