Keywords: astro-noema-sensitivity-estimator

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### Python implementation

1. Tuning overheads:
   - Session parameters:
     - `ttune = 40 min` is renamed `ttune_main` (already a mandatory parameter),
     - `ttune_per_freq_cycle = xxx min` (0 if not defined).
   - User inputs:
     - `cycle_nfreq = 1 or more` (1 if not defined, if 1: not a frequency cycling estimation).
2. Observing efficiency:
   - Session parameters:
     - `obseffref = 1.6` already defined is ignored if next parameters are defined,
     - `obseffgen = 1.3`,
     - `obseffgaincal = 0.3`,
     - `ngaincal_detection = 1`,
     - `ngaincal_imaging = 2`,
     - `ngain_cycling = 2`.
   - User inputs:
     - `target_kind = code_detection|code_imaging` (detection if not defined i.e. same as before),
     - `cycle_time_frac = 0 to 1` (1 if not defined; if 1: not a frequency cycling estimation).