Download IGRINS data from Box

IGRINS is in the process of migrating its data to the Box cloud data storage service. Here we show how to programmatically fetch that data with Python.

[1]:

from muler.igrins import IGRINSSpectrum
import requests
%matplotlib inline
%config InlineBackend.figure_format='retina'

For now, you need the filename and Box static filename to fetch a spectrum. Eventually this information may come from an observation Log provided by the IGRINS team. At the moment, I just retrieved this information by navigating to the UTBox website.

These data are already public on the muler_example_date repo, but I uploaded them to a public UTBox folder for the purpose of this demo. Eventually the entire IGRINS archive may be in a public UTBox like this.

[2]:

URL = 'https://utexas.box.com/shared/static/'
download_dictionary = {'SDCH_20201202_0059.spec_a0v.fits':'verow76mp47nzk6m1t4y08xmwt0n6tlg.fits',
                       'SDCH_20201202_0059.sn.fits':'wl5roxf0zfgs3tnhqvnlkl9ixqp2xfve.fits'}

We need two files because the IGRINS pipeline houses the uncertainty values in a separate file from the flux values.

[3]:

def download_file(filename, file_id):
    """Download the file from Google Drive"""
    session = requests.Session()
    response = session.get(URL+file_id)
    if response.status_code == 200: # Successfully found the file on Google Drive
        with open(filename, "wb") as f:
            f.write(response.content)
        print("Downloaded {}".format(filename))

[4]:

for key, value in download_dictionary.items():
    download_file(key, value)

Downloaded SDCH_20201202_0059.spec_a0v.fits
Downloaded SDCH_20201202_0059.sn.fits

[5]:

spectrum = IGRINSSpectrum(file='SDCH_20201202_0059.spec_a0v.fits', order=11).normalize()

[6]:

spectrum = spectrum.trim_edges().remove_nans()
spectrum.plot();
../_images/tutorials_Download_IGRINS_data_from_Box_9_0.png

Great, we fetched the spectrum from UTBox, did some light post-processing, and plotted it, all in one fell swoop.