('Utility to calibrate TESS-W photometers',)
Command line utility to calibrate TESS-W at LICA
git clone https://github.com/STARS4ALL/zptess.git sudo python setup.py install
pip install --user zptess
python -m zptess --help for help
The calibration process
Samples from the reference TESS-W and the new TESS-W are taken and stored in circular buffers (default: 25 samples). An estimator of central tendency of frequencies is taken on each buffer (default estimator: median). The standard deviation from this estimator is also computed to asses the quality of readings. If this standard deviation is zero on either buffer, the whole process is discarded. Otherwise, we keep the estimated central tendency of reference and test frequencies and compute a candidate Zero Point.
This process is repeated in a series of rounds (default: 5 rounds) and we select the "best" estimation of frequencies and Zero Point. The best freequency estimation is chosen as the mode with a fallback to median if mode does not exists.
Mag[ref] = ZP[fict] - 2.5*log10(Freq[ref]) Mag[tst] = ZP[fict] - 2.5*log10(Freq[tst]) Offset = 2.5*log10(Freq[tst]/Freq[ref]) ZP[calibrated] = ZP[ref] + Offset where ZP[fict] is a ficticios zero point of 20.50 to compare readings with the TESS Windows utility by Cristobal García. ZP[ref] is the absolute Zero Point of the calibrated TESS-W (20.44) determined by LICA.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size zptess-2.1.3.tar.gz (34.8 kB)||File type Source||Python version None||Upload date||Hashes View|