StackedPickle

class StackedPickle

Bases: dict

Data format of the pickle files produced by the stacking step

All the weighted averages are made using the bolometric flux

flux: ndarray[Any, dtype[float64]]

Flux, stacked

flux_err: ndarray[Any, dtype[float64]]

Flux error, stacked (square of this is the sum of squares of individual spectra)

RV_sys: float64

Average rv correction (median), same for all spectra

RV_shift: float64

RV correction, shift compared to the median, weighted average

SNR_5500: float64

Corresponds to the square root of the 95th percentile for 100 bins around the wavelength=5500

berv: float64

berv, weighted average

lamp_offset: float64

lamp_offset, weighted average

acc_sec: float64

acc_sec, taken from first spectrum

mjd: float64

mjd weighted average

jdb: float64

jdb weighted average

hole_left: float64

Left boundary of hole, or -99.9 if not present

hole_right: float64

Right boundary of hole, or -99.9 if not present

wave_min: float64

Minimum wavelength

wave_max: float64

Maximum wavelength, not necessarily equal to np.max(static_grid)

dwave: float64

delta between two bins, synonym dlambda

stacking_length: float64

Number of days using for the stacking

nb_spectra_stacked: int

Number of individual spectra using for this individual spectrum

arcfiles: Sequence[str]

Paths of files used in this stacked spectrum

static __new__(cls, /, *args, **kwargs)