Update README.md

README.md

@@ -13,47 +13,3 @@ pw = PreWhitener(name='HDxxxxx')
 pw.auto()
 ```
 
-## Available parameters
-`name`: Default=None, Type: `str`  
-KIC/TIC/HD ID, will be used to download light curve if no `lc` is provided. 
-
-`lc`: Default=None, Type: `lightkurve.lightcurve.LightCurve` or `pandas.DataFrame` or tuple  
-Light curve, if already available. If not provided, the light curve will be downloaded using the `name` parameter.
-
-`max_iterations`: Default=100, Type: `int`  
-Maximum number of iterations.
-
-`snr_threshold`: Default=5, Type: `float`  
-Signal-to-Noise Ratio threshold.
-
-`flag_harmonics`: Default=True, Type: `bool`  
-Flag harmonics of the fitted frequencies.
-
-`harmonic_tolerance`: Default=0.001, Type: `float`  
-Tolerance for flagging harmonics.
-
-`frequency_resolution`: Default=4/27, Type: `float`  
-Frequency resolution of the amplitude spectrum.
-
-`fbounds`: Default=None, Type: `tuple` or `list`  
-Frequency bounds for the amplitude spectrum.
-
-`nyq_mult`: Default=1, Type: `int`  
-Multiplier for the Nyquist frequency.
-
-`oversample_factor`: Default=5, Type: `int`  
-Oversampling factor for the amplitude spectrum.
-
-`mode`: Default='amplitude', Type: `str`  
-Mode of the spectrum. Can be 'amplitude' or 'power'.
-
-## Available methods
-```python
-pw.auto(make_plot=True, save=True) ## Automatically pre-whiten the light curve
-pw.interate()   ## Iteratively pre-whiten the light curve once a PreWhitening object has been created
-pw.post_pw(make_plot=True, save=True)   ## Post-processing of the pre-whitened light curve
-pw.post_pw_plot()   ## Plot the pre-whitened light curve and the identified peaks in the amplitude spectrum
-pw.amplitude_power_spectrum()   ## Get the amplitude/power spectrum
-pw.get_lightcurve()   ## Get the pre-whitened light curve
-```
-