Hk package

seispy.hk module

seispy.hk.ci(allstack, h, kappa, ev_num)[source]

Search best H and kappa from stacked matrix. Calculate error for H and kappa :param allstack: stacked HK matrix :param h: 1-D array of H :param kappa: 1-D array of kappa :param ev_num: event number :return:

seispy.hk.hk()[source]
seispy.hk.hk_sta_test()[source]
seispy.hk.hksta(hpara, isplot=False)[source]
seispy.hk.hkstack(seis, t0, dt, p, h, kappa, vp=6.3, weight=0.7, 0.2, 0.1)[source]
seispy.hk.hktest()[source]
seispy.hk.load_cyan_map()[source]
seispy.hk.plot(stack, allstack, h, kappa, besth, bestk, cvalue, cmap=<matplotlib.colors.ListedColormap object>, title=None, path=None)[source]
seispy.hk.print_result(besth, bestk, maxhsig, maxksig, print_comment=True)[source]
seispy.hk.time2idx(times, ti0, dt)[source]
seispy.hk.tppps(depth, eta_p, eta_s)[source]
seispy.hk.tps(depth, eta_p, eta_s)[source]
seispy.hk.tpsps(depth, eta_s)[source]
seispy.hk.transarray(array, axis=0)[source]
seispy.hk.vslow(v, rayp)[source]

seispy.hkpara module

class seispy.hkpara.HKPara[source]

Bases: object

property hrange
property krange
seispy.hkpara.hkpara(cfg_file)[source]