Metadata-Version: 2.1
Name: zptess
Version: 2.1.2
Summary: ('Utility to calibrate TESS-W photometers',)
Home-page: http://github.com/astrorafael/tessdb/
Author: Rafael Gonzalez
Author-email: astrorafael@gmail.es
License: MIT
Description: 
        # zptess
        Command line utility to calibrate TESS-W at LICA
        
        ## Installation
        
        ```bash
        git clone https://github.com/STARS4ALL/zptess.git
        sudo python setup.py install
        ```
        or
        
        ```bash
        pip install --user zptess
        ```
        
        ## Run
        
        See `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.
        
        #### Formulae
        ```
        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.
        ```
Keywords: Astronomy Python RaspberryPi
Platform: UNKNOWN
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Topic :: Scientific/Engineering :: Atmospheric Science
Classifier: Development Status :: 4 - Beta
Description-Content-Type: text/markdown
