Name: ticgen
Owner: TESS Guest Investigator Program
Description: Software to estimate the noise level on TESS data and to calculate a TESS magnitude
Created: 2017-09-05 13:08:19.0
Updated: 2018-03-17 08:28:05.0
Pushed: 2017-10-03 22:51:36.0
Homepage: null
Size: 33
Language: Python
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A tool for calculating a TESS magnitude, and an expected noise level for stars to be observed by TESS.
You can install using pip
p install ticgen --upgrade
or via the github repository
t clone https://github.com/tessgi/ticgen.git
tvguide
thon setup.py install
The code has been tested in Python 2.7, 3.5, and 3.6.
Provide some magnitudes and we'll calculate a TESS magnitude and a noise level
cgen -V 7.5 -J 12.0 -Ks 11.5
mag = 10.09, calculated using V/J/Ks.
gma scatter in 60 min = 212 ppm.
You can provide any combination of these mangitudes
You can also specify the integration time in minutes. This will be used to calculate the noise. This assumes noise scales with the inverse square-root of the integration time. (default: 60)
en --Tmag 18.0 --integration 1440
mag = 18.00, calculated using Tmag was provided.
gma scatter in 1440 min = 51045 ppm.
You can also run on a csvfile with magnitudes. The header of the file must contain one or more of Tmag, Vmag, Jmag, Bmag, Bphmag, Ksmag, Hmag, and Gmag. Not all the magnitues need to be included in the file and the columns can be in any order.
A new csv file will be created with two columns: TESS mag and 1-sigma noise level in parts-per-million.
Here is an example of an acceptable file
,Vmag,Jmag,Bmag,Bphmag,Ksmag,Hmag,Gmag
,,,,,,,
5,8.1,,,6.7,,
,,16.0,
.0,12.0,,8.6,,
and the calling pattern would be
en-csv mycsvfile.csv
and this would output
ag, 1-sigma noise (ppm)
12.000, 595.007
9.850, 188.867
16.700, 32331.695
12.872, 1030.614
This code is build using the algorithms from the TESS Input Catalog publication from Stassun et al. (2017).
If you find this code useful and want to cite it in your research then we have made that possible for you
e, T. J. & Barclay, T. 2017, ticgen: A tool for calculating a TESS magnitude, and an expected noise level for stars to be observed by TESS., v1.0.0, Zenodo, doi:10.5281/zenodo.888217
Please also cite Stassun et al. (2017) who developed the algorithms underlying this code.