From 810ba05adc66cc4d19a51f5383aed82ee5dee687 Mon Sep 17 00:00:00 2001
From: Prajakta Jadhav <67930551+Prajakta-Jadhav-25@users.noreply.github.com>
Date: Sun, 12 Sep 2021 17:34:42 -0700
Subject: [PATCH] Delete lanzano_2019.py
---
openquake/hazardlib/gsim/lanzano_2019.py | 299 -----------------------
1 file changed, 299 deletions(-)
delete mode 100644 openquake/hazardlib/gsim/lanzano_2019.py
diff --git a/openquake/hazardlib/gsim/lanzano_2019.py b/openquake/hazardlib/gsim/lanzano_2019.py
deleted file mode 100644
index b2000ca78078..000000000000
--- a/openquake/hazardlib/gsim/lanzano_2019.py
+++ /dev/null
@@ -1,299 +0,0 @@
-# -*- coding: utf-8 -*-
-# vim: tabstop=4 shiftwidth=4 softtabstop=4
-#
-# Copyright (C) 2014-2021 GEM Foundation
-#
-# OpenQuake is free software: you can redistribute it and/or modify it
-# under the terms of the GNU Affero General Public License as published
-# by the Free Software Foundation, either version 3 of the License, or
-# (at your option) any later version.
-#
-# OpenQuake is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-# GNU Affero General Public License for more details.
-#
-# You should have received a copy of the GNU Affero General Public License
-# along with OpenQuake. If not, see .
-
-"""
-Module exports :class:`LanzanoEtAl2019`.
-"""
-import numpy as np
-from scipy.constants import g
-
-from openquake.hazardlib.gsim.base import GMPE, CoeffsTable
-from openquake.hazardlib import const
-from openquake.hazardlib.imt import PGA, PGV, SA
-
-
-def _get_stddevs(C):
- """
- Return standard deviations as defined in table 1.
- """
- return [np.sqrt(C['tau'] ** 2 + C['phi_S2S'] ** 2 + C['phi_0'] ** 2),
- C['tau'], np.sqrt(C['phi_S2S'] ** 2 + C['phi_0'] ** 2)]
-
-
-def _compute_distance(ctx, dist_type, C):
- """
- Compute the third term of the equation 1:
- FD(Mw,R) = [c1(Mw-Mref) + c2] * log10(R) + c3(R) (eq 4)
- Mref, h, Mh are in matrix C
- """
- dist = getattr(ctx, dist_type)
- R = np.sqrt(dist ** 2 + C['h'] ** 2)
- return ((C['c1'] * (ctx.mag - C['Mref']) + C['c2']) * np.log10(R) +
- C['c3']*R)
-
-
-def _compute_magnitude(ctx, C):
- """
- Compute the second term of the equation 1:
- b1 * (Mw-Mh) for M<=Mh
- b2 * (Mw-Mh) otherwise
- """
- dmag = ctx.mag - C["Mh"]
- if ctx.mag <= C["Mh"]:
- mag_term = C['a'] + C['b1'] * dmag
- else:
- mag_term = C['a'] + C['b2'] * dmag
- return mag_term
-
-
-def _site_amplification(ctx, C):
- """
- Compute the fourth term of the equation 1 :
- The functional form Fs in Eq. (1) represents the site amplification and
- it is given by FS = klog10(V0/800) , where V0 = Vs30 when Vs30 <= 1500
- and V0=1500 otherwise
- """
- v0 = np.ones_like(ctx.vs30) * 1500.
- v0[ctx.vs30 < 1500] = ctx.vs30
- return C['k'] * np.log10(v0/800)
-
-
-def _get_mechanism(ctx, C):
- """
- Compute the part of the second term of the equation 1 (FM(SoF)):
- Get fault type dummy variables
- """
- SS, TF, NF = _get_fault_type_dummy_variables(ctx)
- return C['f1'] * SS + C['f2'] * TF
-
-
-def _get_fault_type_dummy_variables(ctx):
- """
- Fault type (Strike-slip, Normal, Thrust/reverse) is
- derived from rake angle.
- Rakes angles within 30 of horizontal are strike-slip,
- angles from 30 to 150 are reverse, and angles from
- -30 to -150 are normal.
- """
- SS, TF, NF = 0, 0, 0
- if np.abs(ctx.rake) <= 30.0 or (180.0 - np.abs(ctx.rake)) <= 30.0:
- # strike-slip
- SS = 1
- elif ctx.rake > 30.0 and ctx.rake < 150.0:
- # reverse
- TF = 1
- else:
- # normal
- NF = 1
- return SS, TF, NF
-
-
-class LanzanoEtAl2019_RJB_OMO(GMPE):
- """
- Implements GMPE developed by G.Lanzano, L.Luzi, F.Pacor, L.Luzi,
- C.Felicetta, R.Puglia, S. Sgobba, M. D'Amico and published as "A Revised
- Ground-Motion Prediction Model for Shallow Crustal Earthquakes in Italy",
- Bull Seismol. Soc. Am., DOI 10.1785/0120180210
- SA are given up to 10 s.
- The prediction is valid for RotD50, which is the median of the
- distribution of the intensity measures, obtained from the combination
- of the two horizontal components across all nonredundant azimuths
- (Boore, 2010).
- """
- #: Supported tectonic region type is 'active shallow crust' because the
- #: equations have been derived from data from Italian database ITACA, as
- #: explained in the 'Introduction'.
- DEFINED_FOR_TECTONIC_REGION_TYPE = const.TRT.ACTIVE_SHALLOW_CRUST
-
- #: Set of :mod:`intensity measure types `
- #: this GSIM can calculate. A set should contain classes from module
- #: :mod:`openquake.hazardlib.imt`.
- DEFINED_FOR_INTENSITY_MEASURE_TYPES = {PGA, PGV, SA}
-
- #: Supported intensity measure component is orientation-independent
- #: measure :attr:`~openquake.hazardlib.const.IMC.RotD50`
- DEFINED_FOR_INTENSITY_MEASURE_COMPONENT = const.IMC.RotD50
-
- #: Supported standard deviation types are inter-event, intra-event
- #: and total, page 1904
- DEFINED_FOR_STANDARD_DEVIATION_TYPES = {
- const.StdDev.TOTAL, const.StdDev.INTER_EVENT, const.StdDev.INTRA_EVENT}
-
- #: Required site parameter is only Vs30
- REQUIRES_SITES_PARAMETERS = {'vs30'}
-
- #: Required rupture parameters are magnitude and rake (eq. 1).
- REQUIRES_RUPTURE_PARAMETERS = {'rake', 'mag'}
-
- #: Required distance measure is R Joyner-Boore distance (eq. 1).
- REQUIRES_DISTANCES = {'rjb'}
-
- def compute(self, ctx, imts, mean, sig, tau, phi):
- """
- See :meth:`superclass method
- <.base.GroundShakingIntensityModel.compute>`
- for spec of input and result values.
- """
- [dist_type] = self.REQUIRES_DISTANCES
- for m, imt in enumerate(imts):
- C = self.COEFFS[imt]
- imean = (_compute_magnitude(ctx, C) +
- _compute_distance(ctx, dist_type, C) +
- _site_amplification(ctx, C) +
- _get_mechanism(ctx, C))
-
- istddevs = _get_stddevs(C)
-
- # Convert units to g, but only for PGA and SA (not PGV):
- if imt.string.startswith(("SA", "PGA")):
- mean[m] = np.log((10.0 ** (imean - 2.0)) / g)
- else:
- # PGV:
- mean[m] = np.log(10.0 ** imean)
-
- # Return stddevs in terms of natural log scaling
- sig[m], tau[m], phi[m] = np.log(10.0 ** np.array(istddevs))
- # mean_LogNaturale = np.log((10 ** mean) * 1e-2 / g)
-
- #: Coefficients from SA PGA and PGV from esupp Table S2
-
- COEFFS = CoeffsTable(sa_damping=5, table="""
- IMT a b1 b2 c1 c2 c3 k f1 f2 tau phi_S2S phi_0 Mh Mref h
- pga 3.4210464090 0.1939540900 -0.0219827770 0.2871492910 -1.4056354760 -0.0029112640 -0.3945759700 0.0859837430 0.0105002390 0.1559878330 0.2205815790 0.2000991410 5.5000000000 5.3239727140 6.9237429440
- pgv 2.0774292740 0.3486332380 0.1359129150 0.2840909830 -1.4565164760 -0.0005727360 -0.5927640710 0.0410782350 -0.0123124280 0.1388529950 0.1641479240 0.1938530300 5.7000000000 5.0155451980 5.9310213910
- 0.010 3.4245483320 0.1925159840 -0.0226504290 0.2875277900 -1.4065574040 -0.0029092280 -0.3936344950 0.0859882130 0.0104732970 0.1561741750 0.2207225690 0.2001331220 5.5000000000 5.3265568770 6.9261983550
- 0.025 3.4831620980 0.1745072330 -0.0303191060 0.2917712270 -1.4243608230 -0.0028437300 -0.3808661290 0.0869007960 0.0121168920 0.1585446770 0.2231805710 0.2008657270 5.5000000000 5.3726995880 6.9273792970
- 0.040 3.6506006610 0.1159102530 -0.0646660020 0.3111117150 -1.4695119300 -0.0027310440 -0.3429284420 0.0870477700 0.0161177530 0.1644920090 0.2324602390 0.2038917110 5.5000000000 5.4968889680 6.9815887950
- 0.050 3.7315797180 0.0938111470 -0.0847276080 0.3184743710 -1.4684793000 -0.0029101640 -0.3201326870 0.0900141460 0.0129486380 0.1679197090 0.2388540270 0.2068943560 5.5000000000 5.5554373580 7.1218137630
- 0.070 3.8298265420 0.0775399420 -0.1074506180 0.3219830820 -1.4693089940 -0.0034922110 -0.2775266740 0.1027835460 0.0229271220 0.1761561100 0.2512937930 0.2101610770 5.5000000000 5.5053847230 7.2904858360
- 0.100 3.8042169810 0.1360109680 -0.0692203330 0.2908601720 -1.4016627520 -0.0043005780 -0.2686743880 0.1147824540 0.0248269350 0.1787478720 0.2637458450 0.2113961580 5.5000000000 5.3797044570 7.2742555760
- 0.150 3.6500641550 0.2565050720 0.0271400960 0.2339551240 -1.3111751160 -0.0047018230 -0.3207560810 0.1109474740 0.0198659050 0.1666766970 0.2596149390 0.2113112910 5.5000000000 5.0965762810 6.6927744070
- 0.200 3.5441076850 0.3561477800 0.0934922750 0.1983575680 -1.2809085750 -0.0045122270 -0.3768139640 0.0942130060 0.0116640180 0.1611613280 0.2493593750 0.2085199270 5.5000000000 4.8016422440 6.1273995880
- 0.250 3.4904108560 0.4258794620 0.1431007860 0.1768779550 -1.2710203890 -0.0038947210 -0.4275803190 0.0803226570 0.0097630190 0.1541437520 0.2349586720 0.2074459640 5.5000000000 4.7851094040 6.0907948160
- 0.300 3.4415379890 0.4717747480 0.1926037060 0.1614915210 -1.2949801370 -0.0032193060 -0.4770515440 0.0776675640 0.0061077540 0.1465825190 0.2248859230 0.2059316980 5.5000000000 4.7167541960 5.9795025500
- 0.350 3.3446630670 0.5062658120 0.2151211470 0.1564621150 -1.3178170520 -0.0029990590 -0.5306569440 0.0728397670 0.0026993430 0.1410870920 0.2175844480 0.2080023630 5.5000000000 4.3812120300 5.8130994320
- 0.400 3.2550575400 0.5331242140 0.2421620470 0.1502822370 -1.2806103220 -0.0027428760 -0.5562808430 0.0661760590 0.0011870680 0.1351999940 0.2142019330 0.2045660900 5.5000000000 4.4598958150 5.8073330520
- 0.450 3.3642504070 0.5364578580 0.1855438960 0.1489823740 -1.3018257500 -0.0022889740 -0.5950316360 0.0648499220 0.0049044230 0.1282711800 0.2116409250 0.2038392300 5.8000000000 4.4733992810 5.9505143630
- 0.500 3.3608504670 0.5595158750 0.2002091480 0.1445889550 -1.3577631940 -0.0018214290 -0.6175021300 0.0643336580 0.0049344710 0.1292553150 0.2101486370 0.2021378460 5.8000000000 4.3061718270 6.0827633150
- 0.600 3.3138586220 0.6159734570 0.2429526950 0.1308776180 -1.3751116050 -0.0011783100 -0.6515274580 0.0517509190 -0.0106807380 0.1388319340 0.2085483340 0.2012532670 5.8000000000 4.2621864430 6.0960486570
- 0.700 3.2215424560 0.6410331910 0.2631217720 0.1310231460 -1.3777586170 -0.0008288090 -0.6770253130 0.0348343350 -0.0138034390 0.1487445760 0.2078712150 0.1990177160 5.8000000000 4.2242791970 5.8705686780
- 0.750 3.1945748660 0.6615384790 0.2753805270 0.1279582150 -1.3816587680 -0.0006332620 -0.6770002780 0.0325604250 -0.0106144310 0.1493281120 0.2061474600 0.1985444200 5.8000000000 4.2193032080 5.9399226070
- 0.800 3.1477172010 0.6744754580 0.2843168320 0.1274454970 -1.3805238730 -0.0005387910 -0.6807607950 0.0301501140 -0.0093150580 0.1488858080 0.2059923330 0.1975251810 5.8000000000 4.1788159560 5.9158308810
- 0.900 3.0438692320 0.6960808380 0.2908389870 0.1307696640 -1.3712299710 -0.0003650810 -0.6901600210 0.0243867030 -0.0057274610 0.1510220880 0.2088059530 0.1964681960 5.8000000000 4.1280019240 5.6499915110
- 1.000 2.9329562820 0.7162569260 0.2992085610 0.1330221520 -1.3581003000 -0.0003481280 -0.7010380780 0.0187836090 -0.0026838270 0.1498799880 0.2099740670 0.1952706350 5.8000000000 4.0068764960 5.4265347610
- 1.200 2.7969754630 0.7522683610 0.3148914470 0.1356882390 -1.3418915980 -0.0001946160 -0.7211447760 0.0156692770 -0.0123682580 0.1475708640 0.2085469600 0.1935369570 5.8000000000 4.0000000000 5.2114400990
- 1.400 2.6681627290 0.7789439750 0.3310958850 0.1374053210 -1.3265422970 -0.0001071290 -0.7304122120 0.0122846810 -0.0159220670 0.1480430620 0.2089391760 0.1905401100 5.8000000000 4.0000000000 5.0911883420
- 1.600 2.5723270160 0.7847328080 0.3394239090 0.1454225100 -1.3308582950 0.0000000000 -0.7386216010 0.0034499080 -0.0231247190 0.1468224080 0.2119887010 0.1888323370 5.8000000000 4.0644421250 5.1206266020
- 1.800 2.4933386330 0.7900020080 0.3305433860 0.1542283440 -1.3289912520 0.0000000000 -0.7538191680 -0.0079587620 -0.0354487870 0.1517555390 0.2125975420 0.1861583190 5.8000000000 4.1264090540 5.2737078390
- 2.000 2.4060176790 0.7777348120 0.3199509080 0.1684793150 -1.3282655150 0.0000000000 -0.7472001440 -0.0111369970 -0.0375300390 0.1533446260 0.2112262090 0.1855430060 5.8000000000 4.2174770140 5.3910987520
- 2.500 2.2251396500 0.7789914250 0.3280727550 0.1827792890 -1.3593977940 0.0000000000 -0.7332744950 -0.0298755170 -0.0447073420 0.1581459890 0.2057405400 0.1873131960 5.8000000000 4.0841192840 5.2885431340
- 3.000 2.0653645110 0.7855377910 0.3585874760 0.1917372820 -1.3622291610 -0.0000725000 -0.6907295050 -0.0523142100 -0.0534721760 0.1730562270 0.2046940180 0.1856376420 5.8000000000 4.0000000000 5.0089807590
- 3.500 1.9413692760 0.8006822910 0.3924715050 0.2003105480 -1.3459808710 -0.0003295060 -0.6572701800 -0.0831135690 -0.0497671120 0.1694808560 0.2000002880 0.1858647730 5.8000000000 4.0000000000 5.2239249130
- 4.000 1.8088893770 0.7742293710 0.3863288840 0.2209746660 -1.3605497440 -0.0004514760 -0.6361325920 -0.0850828750 -0.0481922640 0.1729190890 0.1933427470 0.1876984700 5.8000000000 4.0000000000 5.1428287170
- 4.500 1.7067047740 0.7606577820 0.3932273220 0.2318655310 -1.3607064390 -0.0005424670 -0.6212289540 -0.0851787910 -0.0420861940 0.1750836140 0.1912528510 0.1875258320 5.8000000000 4.0000000000 4.9944908560
- 5.000 1.5674508510 0.7351540960 0.4075899440 0.2444741770 -1.3443973430 -0.0006142880 -0.5996128590 -0.0740372190 -0.0294935120 0.1724655580 0.1849939070 0.1920775290 5.8000000000 4.0995166500 4.9182635170
- 6.000 1.8015664050 0.6866068140 0.2400330900 0.2681399590 -1.4273047180 -0.0004079660 -0.5582643820 -0.0530155580 -0.0281879710 0.1608258320 0.1827343650 0.1868738640 6.3000000000 4.0725997780 5.6196373890
- 7.000 1.6596668010 0.6688108030 0.2910039860 0.2736804460 -1.4575752030 -0.0002092330 -0.5293913010 -0.0164879330 -0.0063757230 0.1639920950 0.1793061350 0.1785781870 6.3000000000 4.0597872070 5.3393074950
- 8.000 1.5146417080 0.6053146580 0.2927231020 0.3021009530 -1.4528220690 -0.0001882700 -0.5054615800 0.0012388470 -0.0011382590 0.1605307940 0.1737530120 0.1769475170 6.3000000000 4.2884159230 5.4984545260
- 9.000 1.4186859130 0.5413850170 0.2751627760 0.3283351620 -1.4351308790 0.0000000000 -0.5015172920 0.0083605610 0.0036314410 0.1593645820 0.1666775610 0.1771272580 6.3000000000 4.5884949620 6.0000000000
- 10.000 1.3142120360 0.4897308100 0.2536297690 0.3484436940 -1.4421713740 0.0000000000 -0.4867303450 0.0170019340 0.0044164240 0.1580884750 0.1616666450 0.1776399420 6.3000000000 4.6826704140 6.2391199410
- """)
-
-
-class LanzanoEtAl2019_RUP_OMO(LanzanoEtAl2019_RJB_OMO):
- """
- Implements GMPE developed by G.Lanzano, L.Luzi, F.Pacor, L.Luzi,
- C.Felicetta, R.Puglia, S. Sgobba, M. D'Amico and published as "A Revised
- Ground-Motion Prediction Model for Shallow Crustal Earthquakes in Italy",
- Bull Seismol. Soc. Am., DOI 10.1785/0120180210
- SA are given up to 10 s.
- The prediction is valid for RotD50, which is the median of the
- distribution of the intensity measures, obtained from the combination
- of the two horizontal components across all nonredundant azimuths
- (Boore, 2010).
- """
- #: Supported tectonic region type is 'active shallow crust' because the
- #: equations have been derived from data from Italian database ITACA, as
- #: explained in the 'Introduction'.
- DEFINED_FOR_TECTONIC_REGION_TYPE = const.TRT.ACTIVE_SHALLOW_CRUST
-
- #: Set of :mod:`intensity measure types `
- #: this GSIM can calculate. A set should contain classes from module
- #: :mod:`openquake.hazardlib.imt`.
- DEFINED_FOR_INTENSITY_MEASURE_TYPES = {PGA, PGV, SA}
-
- #: Supported intensity measure component is orientation-independent
- #: measure :attr:`~openquake.hazardlib.const.IMC.RotD50`
- DEFINED_FOR_INTENSITY_MEASURE_COMPONENT = const.IMC.RotD50
-
- #: Supported standard deviation types are inter-event, intra-event
- #: and total, page 1904
- DEFINED_FOR_STANDARD_DEVIATION_TYPES = {
- const.StdDev.TOTAL, const.StdDev.INTER_EVENT, const.StdDev.INTRA_EVENT}
-
- #: Required site parameter is only Vs30
- REQUIRES_SITES_PARAMETERS = {'vs30'}
-
- #: Required rupture parameters are magnitude and rake (eq. 1).
- REQUIRES_RUPTURE_PARAMETERS = {'rake', 'mag'}
-
- #: Required distance measure is Rrup (eq. 1).
- REQUIRES_DISTANCES = {'rrup'}
-
- #: Coefficients from SA PGA and PGV from esupp Table S2
- COEFFS = CoeffsTable(sa_damping=5, table="""
- IMT a b1 b2 c1 c2 c3 k f1 f2 tau phi_S2S phi_0 Mh Mref h
- pga 3.8476009130 0.0774422740 -0.1419991420 0.3478652700 -1.5533187520 -0.0018762870 -0.3804756380 0.0981863920 0.0312839980 0.1614849070 0.2214693590 0.2009857770 5.5000000000 5.7161225870 6.6412174580
- pgv 2.3828051810 0.2389279260 0.0261097410 0.3406251950 -1.5178700950 0.0000000000 -0.5766806200 0.0496574190 0.0048867220 0.1377338650 0.1657577940 0.1947190870 5.7000000000 5.4986237650 5.2603202210
- 0.010 3.8506248160 0.0758687500 -0.1428322710 0.3483279440 -1.5537399740 -0.0018758340 -0.3795182780 0.0982026160 0.0312888740 0.1617017580 0.2216042230 0.2010196680 5.5000000000 5.7182953400 6.6339536220
- 0.025 3.9192103880 0.0557696980 -0.1527646590 0.3537205430 -1.5755362770 -0.0017839260 -0.3665232370 0.0994148360 0.0335230700 0.1648739390 0.2239781630 0.2017348520 5.5000000000 5.7583429090 6.6418028640
- 0.040 4.1174892770 -0.0090338610 -0.1935502850 0.3762847240 -1.6561808690 -0.0015888760 -0.3280283020 0.1003977920 0.0391489610 0.1728423350 0.2330030290 0.2047022980 5.5000000000 5.7989637460 6.7563889150
- 0.050 4.2100749050 -0.0339492180 -0.2162534440 0.3850707690 -1.6588279250 -0.0017350640 -0.3051389660 0.1038403080 0.0364310640 0.1769569220 0.2393492360 0.2072790280 5.5000000000 5.8513503470 6.9511244450
- 0.070 4.3116802080 -0.0505614890 -0.2390930110 0.3886131870 -1.6360072930 -0.0023201630 -0.2625774900 0.1169554080 0.0468045100 0.1850495830 0.2515478690 0.2106976190 5.5000000000 5.8718716570 7.2254468560
- 0.100 4.2619091410 0.0155135150 -0.1931111810 0.3536108950 -1.5607240070 -0.0031932490 -0.2541922120 0.1287730480 0.0481946680 0.1870755970 0.2641319770 0.2116384010 5.5000000000 5.7816875540 7.1942049600
- 0.150 4.0281333720 0.1490530750 -0.0842910460 0.2904596360 -1.4558853220 -0.0038111280 -0.3065865390 0.1234294560 0.0409920340 0.1747944550 0.2597923620 0.2119010310 5.5000000000 5.5070413070 6.0448362270
- 0.200 3.9581561800 0.2581085140 -0.0067616210 0.2493181400 -1.4304030950 -0.0035049250 -0.3631567460 0.1054336950 0.0308675300 0.1663095650 0.2500575700 0.2094881320 5.5000000000 5.4083470680 6.0814859680
- 0.250 3.8975164920 0.3349956980 0.0504825640 0.2239371150 -1.4165129430 -0.0028978730 -0.4143360740 0.0906817050 0.0279033120 0.1577890900 0.2357231150 0.2084723930 5.5000000000 5.4514190000 6.0143888830
- 0.300 3.8389631040 0.3840688150 0.1030589990 0.2069719800 -1.4440780970 -0.0022541340 -0.4636965900 0.0874129150 0.0234314860 0.1496049650 0.2259333260 0.2073687490 5.5000000000 5.3968851350 5.8135245350
- 0.350 3.7427724390 0.4229320630 0.1304612770 0.1993820250 -1.4408251060 -0.0020338970 -0.5174986310 0.0820839430 0.0191395270 0.1437104080 0.2185074890 0.2098701290 5.5000000000 5.2806552370 5.8177492120
- 0.400 3.6333013750 0.4525776370 0.1603621910 0.1917091960 -1.4190236990 -0.0018301470 -0.5434295700 0.0748159970 0.0169681240 0.1358758520 0.2149494900 0.2064883230 5.5000000000 5.2222009260 5.6501186180
- 0.450 3.7154781180 0.4556396130 0.1097027610 0.1893950510 -1.4373487560 -0.0013790170 -0.5822090800 0.0724614960 0.0200828160 0.1287203560 0.2124451610 0.2057455270 5.8000000000 5.2478823960 5.7811054530
- 0.500 3.7225644930 0.4791000150 0.1250270520 0.1847593340 -1.4792888180 -0.0008746350 -0.6048678230 0.0719131380 0.0201771040 0.1286518970 0.2113216850 0.2036659890 5.8000000000 5.2517779510 5.9416879950
- 0.600 3.6682670680 0.5366335520 0.1687213280 0.1707059500 -1.5049666160 -0.0002411380 -0.6392187290 0.0588865330 0.0046486850 0.1365657160 0.2100293700 0.2024728710 5.8000000000 5.2219439350 5.7575653430
- 0.700 3.5476098040 0.5605925270 0.1871321630 0.1717388940 -1.4920154380 0.0000000000 -0.6643250560 0.0414345280 0.0015640500 0.1444444740 0.2094865120 0.2002723840 5.8000000000 5.1693165540 5.2232086450
- 0.750 3.4860153280 0.5835516220 0.2009753460 0.1676162740 -1.4705858310 0.0000000000 -0.6633662960 0.0390747580 0.0045913530 0.1444192940 0.2075499490 0.1999247850 5.8000000000 5.1608011770 5.2390714490
- 0.800 3.4153176700 0.5963140190 0.2090305350 0.1674214930 -1.4563908280 0.0000000000 -0.6668025460 0.0364159000 0.0057644770 0.1435650390 0.2072863380 0.1990343260 5.8000000000 5.1084013460 5.0192508660
- 0.900 3.2837755070 0.6203647060 0.2174322510 0.1695628290 -1.4268589930 0.0000000000 -0.6750760810 0.0302972660 0.0092171050 0.1439597930 0.2100453700 0.1980967980 5.8000000000 5.0273018570 4.6888779800
- 1.000 3.1646298450 0.6394268750 0.2244466880 0.1725257020 -1.4104378560 0.0000000000 -0.6858604010 0.0243862220 0.0120110190 0.1425963490 0.2117095410 0.1964539980 5.8000000000 4.9152918370 4.2786484540
- 1.200 3.0000699100 0.6752604010 0.2398000250 0.1754340770 -1.3847402050 0.0000000000 -0.7049869270 0.0203886700 0.0020858610 0.1376747050 0.2106367700 0.1947050440 5.8000000000 4.8219418190 3.8902573240
- 1.400 2.8548239110 0.7016598380 0.2555322610 0.1774234610 -1.3693052940 0.0000000000 -0.7139420780 0.0169071570 -0.0016271820 0.1352870520 0.2110771360 0.1914515130 5.8000000000 4.7438528440 3.6282580540
- 1.600 2.7452884200 0.7087902600 0.2642955350 0.1848978730 -1.3616920690 0.0000000000 -0.7215074520 0.0083121970 -0.0083006310 0.1331921300 0.2141947700 0.1895359950 5.8000000000 4.7549230280 3.7025291230
- 1.800 2.6642129620 0.7154152980 0.2560921110 0.1931546230 -1.3507839540 0.0000000000 -0.7371011570 -0.0017321440 -0.0190618180 0.1382147940 0.2147123860 0.1868917710 5.8000000000 4.8130574510 3.9589480220
- 2.000 2.5756862730 0.7028435510 0.2447144810 0.2076118600 -1.3471065740 0.0000000000 -0.7307501910 -0.0050040160 -0.0212358510 0.1397875260 0.2129299180 0.1864771670 5.8000000000 4.8506617380 4.1479373910
- 2.500 2.3963959400 0.7033050700 0.2518818530 0.2222780470 -1.3743185070 0.0000000000 -0.7168917870 -0.0246343480 -0.0290936910 0.1437343890 0.2068222070 0.1887206470 5.8000000000 4.7203537770 4.1181389600
- 3.000 2.2442760420 0.7064408310 0.2805790070 0.2323944870 -1.3938825540 0.0000000000 -0.6755767110 -0.0449346600 -0.0392006000 0.1579916440 0.2051285540 0.1872462500 5.8000000000 4.5967141280 3.6676358910
- 3.500 2.1509457620 0.7197140890 0.3144950490 0.2408879210 -1.3056875070 0.0000000000 -0.6454403000 -0.0712686810 -0.0377413380 0.1574415450 0.2005062730 0.1876227070 5.8000000000 5.0000000000 3.9746700550
- 4.000 2.0269129410 0.6873092210 0.3037401830 0.2643086690 -1.3612857890 0.0000000000 -0.6250815320 -0.0736555330 -0.0363730290 0.1610380970 0.1940097180 0.1895939010 5.8000000000 4.8167431120 3.5842582520
- 4.500 1.9350799290 0.6687716310 0.3061467880 0.2778468310 -1.3144751280 0.0000000000 -0.6110294070 -0.0740593630 -0.0294989060 0.1623295570 0.1927623170 0.1893881480 5.8000000000 5.0000000000 3.2644687160
- 5.000 1.8090192480 0.6410330200 0.3183807710 0.2915021780 -1.3209096320 0.0000000000 -0.5897990580 -0.0632488020 -0.0172750890 0.1600134890 0.1872621910 0.1941054980 5.8000000000 5.0000000000 3.3548060430
- 6.000 1.9455190300 0.5901995040 0.1564201050 0.3140022010 -1.3375771520 0.0000000000 -0.5478118740 -0.0424599370 -0.0125854850 0.1509581730 0.1838901820 0.1900203310 6.3000000000 5.0000000000 3.9006202840
- 7.000 1.7832223090 0.5733237300 0.2019467610 0.3199016260 -1.3374591120 0.0000000000 -0.5197861950 -0.0045757050 0.0111162730 0.1555189840 0.1794302890 0.1819988840 6.3000000000 5.0000000000 3.7233318770
- 8.000 1.6472982850 0.5073993280 0.2006409390 0.3494261080 -1.4463813400 0.0000000000 -0.4956266160 0.0136222610 0.0172305930 0.1529394340 0.1736945870 0.1803254150 6.3000000000 4.8103931580 4.3526246000
- 9.000 1.5105710010 0.4450324910 0.1830610430 0.3751346350 -1.4367324130 0.0000000000 -0.4912014160 0.0208945970 0.0217267490 0.1529569490 0.1662440990 0.1804191720 6.3000000000 4.9295888090 4.5509858920
- 10.000 1.3966806560 0.3900867860 0.1589602600 0.3968394420 -1.4232531770 0.0000000000 -0.4765713040 0.0296164880 0.0222468600 0.1525077910 0.1614679730 0.1808181160 6.3000000000 5.0403227000 4.5998115120
- """)