Lightkurve Model
In collaboration with:
New LightKurve Calculation
Name
Provide a name for this calculation
Data Archive
Target Pixel File
TESS Cutouts
Light Curve File
Search Parameters
Target object name or KIC/EPIC ID.
K2
Kepler
TESS
Mission
Kepler Quarter number(s)
K2 Campaign number(s)
TESS Sector number(s)
arcsec
Search radius
Long (default)
Short
Cadence
1
2
3
4
Month
Maximum number of target results to return
Search
Download Options
None (0)
Default (1130799)
Hard (1664431)
Hardest (2096639)
Quality Bitmask (to remove bad cadences)
pixels
Cutout Size (side length)
Photometry options
Aperture Photometry
PRF Photometry
(beta)
Simple Aperture Photometry
(SAP)
Pre-search Data Conditioning SAP
Custom Aperture
Aperture Percentile
Manual Aperture
Percentile
Pixel Rows
Pixel Columns
Generate Mask
Lightcurve Options
Remove NaNs
(removes cadences where the flux is NaN)
Remove Outliers
(using sigma-clipping)
sigma
Number of standard deviations
to use for clipping outliers
Self Flat Fielding (SFF) correction
Windows
Fill gaps in time
(using linear interpolation of random white Gaussian noise)
Flatten
(removes low frequency trend using scipy’s
Savitzky-Golay filter
)
Length of the filter window
(i.e. the number of coefficients as a positive odd integer)
Order of the polynomial used to fit the samples
(must be less than
window length
)
Break tolerance
(splits flux into several lightcurves to apply filter)
Number of iterations
(to iteratively sigma clip and flatten)
Number of sigma
(above which to remove outliers from the flatten)
Stitch search results together
(makes one long lightcurve)
Fold the lightcurve
(at a specified period and phase)
days
Period upon which to fold
Phase
(data points which occur exactly at phase or an integer multiple of phase + n*period have time value 0.0)
Bin
(reduce the time resolution of the array, taking the average value in each bin)
cadences
Number of cadences to include in every bin
bins
Number of bins
Mean (default)
Median
Summary statistic method
Normalize
Unscaled (default)
Percent
Parts per Thousand (ppt)
Parts per Million (ppm)
Relative unit
Convert Lightcurve
Periodogram
Lomb Scargle (default)
Box Least Squares (BLS)
Method
Amplitude (default)
Power Spectral Density (PSD)
Normalization of the spectrum
Fast (default)
Slow
Fast Chi 2
Chi 2
Lomb Scargle method
Oversample Factor
(to divide the frequency spacing by)
Number of terms to use in the Fourier fit
Multiple of the average Nyquist frequency
(overridden by maximum_frequency/minimum_period)
Frequency
Period
Custom limit
μHz
1/day
Limit Min
1/day
Limit Max
Duration
Frequency Factor
day
Minimum Period
day
Maximum Period
Seismology
Viewing Options
Display river plot
(to see how periodic signals evolve over time)
Period
(at which to fold the light curve)
Epoch time
(phase mid point for plotting)
Number of points in each bin
Minimum phase to plot
Maximum phase to plot
Mean (default)
Median
Sigma
River method
Estimate CDPP noise metric
cadences
Transit duration
(window length used to compute the running mean)
cadences
Width of Savitsky-Golay filter (odd number)
Polynomial order of the Savitsky-Golay filter
sigma
Number of standard deviations to use for clipping outliers
Inspect raw target metadata from FITS file
Run Calculation
Plots
Output Values
Name
Value