varstardetect 1.0.2

TESS Variable Star Light Curve Fitter

Varstar Detect

Python package optimized for variable star detection in TESS Secctor 1 data.

Initialization:

To install repository from PyPi: pip install varstardetect

Function documentation and tutorials:

For full documentation and tutorials visit https://github.com/VarStarDetect/varstardetect

Looking for stellar variability:

Use the amplitude_test() function, with the following documentation, to determine objects which are variable.

amplitude_test(min, max, amp, dir)

  """
              amplitude_test DOCUMENTATION
---------------------------------------------------------------------
Detects variable stars with amplitude higher than threshold.
---------------------------------------------------------------------
INPUTS:     - min: lower star search (TESS) range delimiter
            - max: higher star search (TESS) range delimiter
            - amp: amplitude threshold
            - dir: directory with TESS sector 1 files csv. You can
              download from
              https://tess.mit.edu/observations/target-lists/
        -------------------------------------------------------------
OUTPUTS:    - candidates: 1D numpy array with variable candidate
            target IDs
            - chis: 1D numpy array with the chi^2 parameter of each
            approximation.
            - degree: 1D numpy array with the degree of the optimal
            degree of the approximation.
            - periods: 1D numpy array with the period of each
            approximating function.
            - period_errors: 1D numpy array with the period
            uncertainty for each candidate.
            - amplitudes: 1D numpy array with the amplitude of each
            approximation.
            - amplitude_errors: 1D numpy array with the uncertainty
            of the amplitude of each candidate.
----------------------------------------------------------------------
PROCEDURE:
            1. Calculates amplitude for an observed star.
            2. Calculates if amplitude is bigger than threshold.
            3. Returns candidates and their characteristics.
----------------------------------------------------------------------
  """

Background:

The function uses several numerical and statistical methods to filter and interpret the data obtained form TESS, providing the characteristics of each star through phenomenological analysis of the lightcurve, given that it has passed the amplitude test