Installation

Through pip

At the command line you can install using pip:

$ pip install PynPoint-exoplanet --user

For background information on pip, see our installation help pages.

You can also join the PynPoint mailing list by sending an email to pynpoint-join@lists.phys.ethz.ch (you can leave the subject line and body of the email blank).

Initial test

We have provided some useable data as part of the package. To perform your first calculations do the following:

import PynPoint
from PynPoint import PynPlot

data_dir = PynPoint.get_data_dir() #internal location of data directory
test_file = '/Data_betapic_L_Band_PynPoint_conv_stck_500_.hdf5'

images = PynPoint.images.create_whdf5input(data_dir+test_file,cent_size=0.07)
basis = PynPoint.basis.create_whdf5input(data_dir+test_file,cent_size=0.07)
res = PynPoint.residuals.create_winstances(images, basis)

PynPlot.plt_res(res,6,imtype='mean')

That is it! If this worked, you should have a picture like the one in the section below. What you see in the image is the planet beta-pic b.

You are now ready to go. As you use PynPoint for your exciting discoveries, please cite the two PynPoint papers that describe the method and the package:

Amara, A. & Quanz, S. P., MNRAS vol. 427 (2012) ; and

Amara, A., Quanz, S. P. and Akeret J., Astronomy and Computing (submitted 2014)

Initial result

If you run the example above, you should see this:

_images/install_example.jpg

The image shows the final results at the end of the PynPoint analysis. The star of the planetary system sits at the center of the image, which is masked here. The prominent red blob to the top-right of center is the planet beta-pic b. The pixel scale for the image is 0.0135” (half of the original data), so the total image is 2”x 2”. We see that beta-pic b is roughly 22 pixels from the star (image center), corresponding to roughly 0.3”.

When making this result, all the images have been aligned to the parallactic angle of the first image. In this particular case, this means that North is to the left. The plt_res() function is able to produce an image that is rotated by a user-specified angle (for example to make North point up). For more discussions on the options available, see Usage and example tutorials . We have also made available the the full data.