Beispiel #1
0
def create_d1():
    N = 68
    # from 01/03/2010 to 24/01/2019, because why not
    t = np.sort(np.random.uniform(55256, 58507, N))

    rv = np.full_like(t, vsys)

    Tp = t[0] + 10
    planet = keplerian(t, P, K, ecc, w, Tp, 0.0)
    rv += planet

    srv = np.random.uniform(0.6, 0.9, t.size)
    jit = 0.3

    err = norm(0, np.hypot(np.median(srv), jit)).rvs(t.size)
    # err = Tstudent(df=2.1, loc=0, scale=np.hypot(np.median(srv), jit)).rvs(t.size)
    rv += err

    # outliers!!!
    rv[10] += 16.1
    rv[15] += 20
    rv[56] -= 13

    header = 'bjd\tvrad\tsvrad\n---\t----\t-----'
    np.savetxt('d1.txt',
               np.c_[t, rv, srv],
               header=header,
               comments='',
               fmt='%6.3f')

    return t, rv, srv, (P, K, ecc, w, Tp, vsys, jit)
Beispiel #2
0
def plot_dataset():
    t, rv, srv, pars = create_d1()

    tt = np.linspace(t[0], t[-1], 5000)
    pl = keplerian(tt, *pars[:6])

    _, ax = plt.subplots(1, 1)
    ax.set(xlabel='Time [days]', ylabel='RV [m/s]')

    ax.errorbar(t, rv, srv, fmt='o')
    ax.plot(tt, pl, 'k', zorder=-1)

    plt.show()
Beispiel #3
0
def test_keplerian():
    from pykima.keplerian import keplerian
    # keplerian(time, p, k, ecc, omega, t0, vsys)

    times1 = [
        0.,
    ]
    times2 = [0., 1., 2.]

    # before we were testing getting a NaN result when P=0
    # now it should raise a FloatingPointError
    with pytest.warns(RuntimeWarning):
        with pytest.raises(FloatingPointError):
            keplerian(times1, 0., 0., 0., 0., 0., 0.)
            # assert np.isnan(result)
            keplerian(times2, 0., 0., 0., 0., 0., 0.)
            # assert np.all(np.isnan(result))

    npt.assert_allclose(keplerian(times1, 100., 1., 0., 0., 0., 0.), 1.)
    npt.assert_allclose(keplerian(times2, 1., 1., 0., 0., 0., 0.), 1.)