Metadata-Version: 2.1
Name: astrosource
Version: 1.3.5
Summary: Analysis script for sources with variability in their brightness
Home-page: https://github.com/zemogle/astrosource
Author: Michael Fitzgerald and Edward Gomez
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: astropy
Requires-Dist: click
Requires-Dist: matplotlib
Requires-Dist: numpy (>=1.16)
Requires-Dist: pytest
Requires-Dist: astroquery
Requires-Dist: scipy
Requires-Dist: colorlog
Requires-Dist: barycorrpy

# astrosource
Analysis script for sources with variability in their brightness. The package was formerly called `autovar` but this clashes with an existing Python package.

## Installation

It is strongly recommended you use python 3 and a virtual environment

Using the [Anaconda](https://www.anaconda.com/download/) distribution of Python:

```bash
conda create -n astrosource python=3
source activate astrosource
```

The package is available on PyPi and can be installed with `pip`.

```bash
pip install astrosource
```

### Install development version

If you need to install the development branch, download from [GitHub](https://github.com/zemogle/astrosource) and from the root of the repo, run:

```bash
cd astrosource
pip install .
```

or directly with the setup script

```bash
cd astrosource
python setup.py install
```

## Usage

There are a few input options when running the scripts. You can either run the whole analysis at once or the individual stages.

`--ra` *[required parameter]* Right Ascension of the target (in decimal)

`--dec` *[required parameter]* Declination of the target (in decimal)

`--target-file` *[required parameter]*

`--indir` [parameter] Path of directory containing LCO data files. If none is given, astrosource assumes the current directory

`--format` [parameter] input file format. If not `fz`, `fits`, or `fit` assumes the input files are photometry files with correct headers. If image files given, code will extra photometry from FITS extension. Defaults to `fz`.

`--stars` [boolean flag] Step 1: Identify and match stars from each data file

`--comparison` [boolean flag] Step 2: Identify non-varying stars to use for comparisons

`--calc` [boolean flag] Step 3: Calculate the brightness change of the target

`--phot` [boolean flag] Step 4: Photometry calculations for either differential or calibrated

`--plot` [boolean flag] Step 5: Produce lightcurve plots

`--full` [boolean flag] Run the whole code. This will run the following steps in this order `stars` > `comparison` > `calc` > `phot` > `plot`

### Extra options
`--verbose` [boolean flag] Show all system messages for AstroSource

`--detrend` [boolean flag] Detrend exoplanet data

`--eebls` [boolean flag] EEBLS - box fitting to search for periodic transits

`--calib` [boolean flag] Perform calibrated

`--imgreject` [float] Image fraction rejection allowance. Defaults to `0.0`. Increasing this will allow AstroSource to reject some of your data files if there are not enough comparison stars.

`--clean` [boolean flag] Remove all files except the original data files, and photometry files


### Example Usage

```bash
astrosource --ra 154.9083708 --dec -9.8062778 --indir /path/to/your/data --full
```

All the files generated will be stored in the directory you specify in `--indir`

### Tests

If you are developing this package, you will want to run the tests. You will need `pytest` installed and then, from the `astrosource` directory within this repo, run:

```bash
pytest
```

To suppress the warning messages use:

```bash
pytest --disable-pytest-warnings
```

You may also want to install this in developer mode

```bash
python setup.py develop
```

## Authors
Written by Michael Fitzgerald and [Edward Gomez](@zemogle)


