Check whether targets are in the field of view of NASA's K2 mission.
The K2fov Python package allows users to check whether a target is in the field of view of K2.
In particular, the package adds the K2onSilicon and K2findCampaigns tools
to the command line, which allow the visibility of targets to be checked
during one (K2onSilicon) or all (K2findCampaigns) campaigns, respectively.
The usage of these tools is explained below.
You will need a modern version of Python 2 or 3 on your system.
If this requirement is met, you can install K2fov using pip:
pip install K2fovif you have a previous version installed, please make sure you upgrade to the latest version using:
pip install K2fov --upgradeIt is important to upgrade frequently to ensure that you are using the most up to date K2 field parameters.
If you require to install the latest development version, e.g. to test a bugfix, then you can install the package straight from the git repository as follows:
git clone https://github.com/KeplerGO/K2fov.git
cd K2fov
python setup.py install
Installing K2fov will automatically add a command line tool
to your path called K2onSilicon, which takes a list of targets
as input and writes a new list that indicates the "silicon status"
of each target, i.e. whether or not it falls on one of the
detectors of the spacecraft's focal plane.
Example
The simplest thing to do is to have a CSV file with columns "RA_degrees, Dec_degrees, Kepmag". Do not use a header.
For example, create a file called mytargetlist.csv containing
the following rows:
178.19284, 1.01924, 13.2
171.14213, 5.314616, 11.3The format for the target list is very strict -- you need three columns: RA in degrees, Declination in degrees and Kepler magnitude. Headers or other additional columns will cause an execution failure.
You can then check whether each object in the file falls on silicon
by calling K2onSilicon from the command line:
K2onSilicon mytargetlist.csv 1Where mytargetlist.csv is your CSV file and 1 is the K2 Campaign number.
Running the code will output an updated target list containing the three input columns and an extra column containing either a "0" or "2".
0 = Not observable
2 = Target is in the K2 field of view and on silicon
The code will also write an image, called targets_fov.png, showing where the targets fall.
Execute K2onSilicon --help to be reminded of its usage:
$ K2onSilicon --help
usage: K2onSilicon [-h] csv_file campaign
Run K2onSilicon to find which targets in a list call on active silicon for a
given K2 campaign.
positional arguments:
csv_file Name of input csv file with targets, column are Ra_degrees,
Dec_degrees, Kepmag
campaign K2 Campaign number
optional arguments:
-h, --help show this help message and exit
If instead of checking the targets in a single campaign,
you want to understand whether a target is visible in any past or
future K2 Campaign, you can use a different tool called K2findCampaigns.
Example
For example, to verify whether J2000 coordinate (ra, dec) = (269.5, -28.5) degrees is visible at any point during the K2 mission, type:
$ K2findCampaigns 269.5 -28.5
Success! The target is on silicon during K2 campaigns [9].
Position in C9: channel 31, col 613, row 491.
You can also search by name. For example, to check whether T Tauri is visible, type:
$ K2findCampaigns-byname "T Tauri"
Success! T Tauri is on silicon during K2 campaigns [4].
Position in C4: channel 3, col 62, row 921.
Finally, you can check a list of targets (either using their coordinates or names), using K2findCampaigns-csv.
For example:
$ K2findCampaigns-csv targets.csv
Writing targets.csv-K2findCampaigns.csv.
More information
Execute K2findCampaigns --help, K2findCampaigns-byname --help or K2findCampaigns-csv --help to be reminded of the use:
$ K2findCampaigns --help
usage: K2findCampaigns [-h] [-p] ra dec
Check if a celestial coordinate is (or was) observable by any past or future
observing campaign of NASA's K2 mission.
positional arguments:
ra Right Ascension in decimal degrees (J2000).
dec Declination in decimal degrees (J2000).
optional arguments:
-h, --help show this help message and exit
-p, --plot Produce a plot showing the target position with respect to all
K2 campaigns.
K2findCampaigns-byname --help
usage: K2findCampaigns-byname [-h] [-p] name
Check if a target is (or was) observable by any past or future observing
campaign of NASA's K2 mission.
positional arguments:
name Name of the object. This will be passed on to the CDS name
resolver to retrieve coordinate information.
optional arguments:
-h, --help show this help message and exit
-p, --plot Produce a plot showing the target position with respect to all
K2 campaigns.
$ K2findCampaigns-csv --help
usage: K2findCampaigns-csv [-h] input_filename
Check which objects listed in a CSV table are (or were) observable by NASA's
K2 mission.
positional arguments:
input_filename Path to a comma-separated table containing columns
'ra,dec,kepmag' (decimal degrees) or 'name'.
optional arguments:
-h, --help show this help message and exit
Finally, this package adds the K2inMicrolensRegion tool to check if a
celestial coordinate is inside the 3-megapixel superstamp region
that has been allocated to the Campaign 9 microlensing experiment.
The stamp covers a large, ~contiguous region towards the Galactic Bulge.
$ K2inMicrolensRegion --help
usage: K2inMicrolensRegion [-h] ra dec
Check if a celestial coordinate is inside the K2C9 microlensing superstamp.
positional arguments:
ra Right Ascension in decimal degrees (J2000).
dec Declination in decimal degrees (J2000).
optional arguments:
-h, --help show this help message and exit
K2fov was created by Fergal Mullally, Thomas Barclay, and Geert Barentsen
for NASA's Kepler/K2 Guest Observer Office.
If this tool aided your research, please cite it using the ADS bibcode
(2016ascl.soft01009M)
and its DOI identifier (10.5281/zenodo.44283).
The BibTeX entry is as follows:
@MISC{2016ascl.soft01009M,
author = {{Mullally}, Fergal; {Barclay}, Thomas; {Barentsen}, Geert},
title = "{K2fov: Field of view software for NASA's K2 mission}",
howpublished = {Astrophysics Source Code Library},
year = 2016,
month = jan,
archivePrefix = "ascl",
eprint = {1601.009},
adsurl = {http://adsabs.harvard.edu/abs/2016ascl.soft01009M},
adsnote = {Provided by the SAO/NASA Astrophysics Data System},
doi = {10.5281/zenodo.44283},
url = {http://dx.doi.org/10.5281/zenodo.44283}
}