Utility Methods

breads.utils Module

Functions

`LPFvsHPF`(myvec, cutoff)	Ask JB to write documentation!
`broaden`(wvs, spectrum, R[, mppool, kernel])	Broaden a spectrum to instrument resolution assuming a gaussian line spread function.
`broaden_kernel`(wvs, spectrum, kernel)	Broaden a spectrum to instrument resolution assuming a custom kernel.
`clean_nans`(arr[, set_to, allowed_range, ...])
`companion_relative_to_absolute_position`(...)	Compute absolute ICRS coordinates of a substellar companion at a given date
`copy`(x)	Shallow copy operation on arbitrary Python objects.
`corrected_wavelengths`(data, off0, off1, ...)
`correlate2d`(in1, in2[, mode, boundary, ...])	Cross-correlate two 2-dimensional arrays.
`file_directory`(file)
`filter_spec_with_spline`(wvs, spec[, ...])
`find_closest_leftnright_elements`(v1, v2)	Find the closest elements in v1 to the left and right of each element in v2.
`findbadpix`(cube[, noisecube, badpixcube, ...])
`gaussian2D`(nx, ny, mu_x, mu_y, sig_x, sig_y, A)	Two Dimensional Gaussian for getting PSF for different wavelength slices
`get_err_from_posterior`(x, posterior)	Return the mode, and the left and right errors of a distribution.
`get_spline_model`(x_knots, x_samples[, ...])	Compute a spline based linear model.
`lsq_linear`(A, b[, bounds, method, tol, ...])	Solve a linear least-squares problem with bounds on the variables.
`mask_bleeding`(data[, threshold, per, ...])
`median_abs_deviation`(x[, axis, center, ...])	Compute the median absolute deviation of the data along the given axis.
`nonlin_lnprior_func`(nonlin_paras, ...)	basic function to limit prior ranges for emcee
`open_psg_allmol`(filename, l0, l1)	Open psg model for all molecules returns wavelength, h2o, co2, ch4, co for l0-l1 range specified
`pixgauss2d`(p, shape[, hdfactor, xhdgrid, ...])	2d gaussian model.
`propagate_coordinates_at_epoch`(targetname, date)	Get coordinates at an epoch for some target, taking into account proper motions.
`rotate_coordinates`(x, y, angle[, flipx])
`scale_psg`(psg_tuple, airmass, pwv)