kaitiaki.helpers

Classes

Functions

`RL`(q, a[, lobe])	Computes the roche lobe radius of a star in a binary.
`roche_lobes`(donor_plotfile, accretor_plotfile)
`contact_phases`(donor_plotfile, accretor_plotfile)
`find_runs`(x)	Find runs of consecutive items in an array.

Module Contents

kaitiaki.helpers.RL(q, a, lobe='L1')

Computes the roche lobe radius of a star in a binary.

Uses the approximation by P. Eggleton for L1, and P. Marchant for L2. - Eggleton (1983): https://ui.adsabs.harvard.edu/abs/1983ApJ…268..368E/abstract - Marchant et al (2016): https://ui.adsabs.harvard.edu/abs/2016A%26A…588A..50M/abstract

Note that Eggleton takes q=m2/m1, whereas Marchant takes m1/m2. For consistency, we have elected to take q=m2/m1.

Parameters:

q (float) – The mass ratio to compute for. Note that q=m2/m1.
a (float) – The binary separation
lobe (str) – Whether to compute L1 or L2 (default: ‘L1’)

Returns:

The roche lobe radius (in real units)

Return type:

float

kaitiaki.helpers.roche_lobes(donor_plotfile, accretor_plotfile)

kaitiaki.helpers.contact_phases(donor_plotfile, accretor_plotfile)

kaitiaki.helpers.find_runs(x)

Find runs of consecutive items in an array.

https://gist.github.com/alimanfoo/c5977e87111abe8127453b21204c1065

class kaitiaki.helpers.Range(bound_low, bound_high, inclusivity='[]', mutable=False)

_bound_low

_bound_high

_right_inclusive

_inclusives = [None, None]

_mutable = False

__contains__(item)

__getitem__(idx)

inclusives()

__setitem__(key, val)

__str__()