inject.py - Transit injection

The Inject class is the model that handles transit injection and recovery.

everest.inject.Inject(ID, inj_model='nPLD', t0=None, per=None, dur=0.1, depth=0.001, mask=False, trn_win=5, poly_order=3, make_fits=False, **kwargs)

Run one of the everest models with injected transits and attempt to recover the transit depth at the end with a simple linear regression with a polynomial baseline. The depth is stored in the inject attribute of the model (a dictionary) as rec_depth. A control injection is also performed, in which the transits are injected into the de-trended data; the recovered depth in the control run is stored in inject as rec_depth_control.

Parameters:

• ID (int) – The target id
• inj_model (str) – The name of the everest model to run. Default “nPLD”
• t0 (float) – The transit ephemeris in days. Default is to draw from the uniform distributon [0., per)
• per (float) – The injected planet period in days. Default is to draw from the uniform distribution [2, 10]
• dur (float) – The transit duration in days. Must be in the range [0.05, 0.5]. Default 0.1
• depth (float) – The fractional transit depth. Default 0.001
• mask (bool) – Explicitly mask the in-transit cadences when computing the PLD model? Default False
• trn_win (float) – The size of the transit window in units of the transit duration
• poly_order (int) – The order of the polynomial used to fit the continuum