minke package¶

Submodules¶

minke.distribution.burst_dist(minimum, maximum, size=1)[source]¶: Generate an hrss drawn from the distribution [ r + 50/r ] as desired by the Burst group for observing MDCs

minke.distribution.even_time(start, stop, rate, jitter=0)[source]¶

Produce an evenly-distributed set of times which has some jitter.

Parameters:

Parameters:	start : int The gps start time of the set. stop : int The gps end time of the set. rate : int The rate of events per year. jitter : float The number of seconds around which the time can “jitter”. This has the effect of adding a small random time on to each time returned in the distribution, up to a maximum of half the jitter value, or taking away up to half the jitter value.
Returns:	times : ndarray A numpy array of gps times where injections should be made.

start : int: The gps start time of the set.
stop : int: The gps end time of the set.
rate : int: The rate of events per year.
jitter : float: The number of seconds around which the time can “jitter”. This has the effect of adding a small random time on to each time returned in the distribution, up to a maximum of half the jitter value, or taking away up to half the jitter value.

Returns:

times : ndarray: A numpy array of gps times where injections should be made.

minke.distribution.favorable_sky(net, time)[source]¶: Wander through the skies, searching for a most favorable location — draw extrinsic parameters as if the network antenna pattern magnitude were the PDF.

minke.distribution.log_uniform(lower, upper, number)[source]¶

Draw uniformly in the log of a predefined range.

Parameters:	lower : float The lower hrss value (n.b. not the lower log(hrss) value) upper : float The upper hrss value (n.b. not the upper log(hrss) value) number : int The number of samples to be drawn from the distribution.
Returns:	sample : float An sample value drawn from the log uniform distribution.

minke.distribution.sky_params(net, time, ra, dec, psi, incl=3.141592653589793)[source]¶

minke.distribution.supernova_angle(num, divisions=10)[source]¶: Draw from a discrete distribution of angles.

minke.distribution.uniform_dec(num)[source]¶: Declination distribution: uniform in sin(dec). num controls the number of draws.

minke.distribution.uniform_interval(interval, num)[source]¶

Return a number, or a list of numbers which are sampled from a uniform distribution.

Parameters:	interval : tuple (lower, upper) The interval which the uniform distribution covers. num : int The number of samples which should be drawn from the distribution.
Returns:	sample : float or list A sample, or a list of samples.

Notes

minke.distribution.uniform_phi(num)[source]¶: Uniform in (0, 2pi) distribution. num controls the number of draws.

minke.distribution.uniform_sky(number=1)[source]¶: Get a set of (RA, declination, polarization) randomized appopriately to astrophysical sources isotropically distributed in the sky.

minke.distribution.uniform_theta(num)[source]¶: Uniform in cos distribution. num controls the number of draws.

minke.distribution.uniform_time(tstart, tstop, number)[source]¶: Get a set of randomized (integer) event times.