//*CMZ : 2.21/07 09/06/99 11.45.19 by Rene Brun
//*CMZ : 2.20/03 05/12/98 16.13.19 by Rene Brun
//*CMZ : 2.20/02 04/12/98 12.17.35 by Rene Brun
//*CMZ : 2.20/00 11/11/98 12.32.05 by Rene Brun
//*CMZ : 2.00/00 21/01/98 08.36.06 by Rene Brun
//*CMZ : 1.03/09 05/12/97 13.19.06 by Fons Rademakers
//*-- Author : Rene Brun 15/12/95
//*KEEP,CopyRight,T=C.
/*************************************************************************
* Copyright(c) 1995-1999, The ROOT System, All rights reserved. *
* Authors: Rene Brun, Fons Rademakers. *
* For list of contributors see $ROOTSYS/AA_CREDITS. *
* *
* Permission to use, copy, modify and distribute this software and its *
* documentation for non-commercial purposes is hereby granted without *
* fee, provided that the above copyright notice appears in all copies *
* and that both the copyright notice and this permission notice appear *
* in the supporting documentation. The authors make no claims about the *
* suitability of this software for any purpose. It is provided "as is" *
* without express or implied warranty. *
*************************************************************************/
//*KEND.
//////////////////////////////////////////////////////////////////////////
//
// TRandom
//
// basic Random number generator class (periodicity = 10**8).
//
// The following basic Random generators are provided:
// ===================================================
// -Gaus(mean,sigma)
// -Rndm()
// -Landau(mean,sigma)
// -Poisson(mean)
// -Binomial(ntot,prob)
//
// Random numbers distributed according to 1-d, 2-d or 3-d distributions
// =====================================================================
// contained in TF1, TF2 or TF3 objects.
// For example, to get a random number distributed following abs(sin(x)/x)*sqrt(x)
// you can do:
// TF1 *f1 = new TF1("f1","abs(sin(x)/x)*sqrt(x)",0,10);
// float r = f1->GetRandom();
// The technique of using a TF1,2 or 3 function is very powerful.
// It is also more precise than using the basic functions (except Rndm).
// With a TF1 function, for example, the real integral of the function
// is correctly calculated in the specified range of the function.
// Getting a number from a TF1 function is also very fast.
// The following table shows some timings (in microsecons/call)
// for basic functions and TF1 functions.
// The left column is with the compiler, the right column with CINT.
// Numbers have been obtained on a Pentium 233Mhz running Linux.
//
// g++ CINT
// Rndm.............. 0.330 4.15
// Gaus.............. 2.220 6.77
// Landau............ 21.590 46.82
// Binomial(5,0.5)... 0.890 5.34
// Binomial(15,0.5).. 0.920 5.36
// Poisson(3)........ 2.170 5.93
// Poisson(10)....... 4.160 7.95
// Poisson(70)....... 21.510 25.27
// Poisson(100)...... 2.910 6.72
// GausTF1........... 2.070 4.73
// LandauTF1......... 2.100 4.73
//
// Note that the time to generate a number from an arbitrary TF1 function
// is independent of the complexity of the function.
// For Landau distribution, it is recommended to use the TF1 technique.
//
// TH1::FillRandom(TH1 *) or TH1::FillRandom(const char *tf1name)
// ==============================================================
// can be used to fill an histogram (1-d, 2-d, 3-d from an existing histogram
// or from an existing function.
//
// Note this interesting feature when working with objects
// =======================================================
// You can use several TRandom objects, each with their "independent"
// random sequence. For example, one can imagine
// TRandom *eventGenerator = new TRandom();
// TRandom *tracking = new TRandom();
// eventGenerator can be used to generate the event kinematics.
// tracking can be used to track the generated particles with random numbers
// independent from eventGenerator.
// This very interesting feature gives the possibility to work with simple
// and very fast random number generators without worrying about
// random number periodicity as it was the case with Fortran.
// One can use TRandom::SetSeed to modify the seed of one generator.
//
// a TRandom object may be written to a Root file
// ==============================================
// -as part of another object
// -or with its own key (example gRandom->Write("Random");
//
// The small program below has been used to get the values in the table above.
// #ifndef __CINT__
// #include "TROOT.h"
// #include "TF1.h"
// #include "TRandom.h"
// #include "TStopwatch.h"
// void rand();
//
// //______________________________________________________________________________
// int main()
// {
// TROOT simple("simple","Test of random numbers");
//
// rand();
// }
// #endif
// void rand() {
// int i, N = 1000000;
// float cpn = 1000000./N;
// float x;
// TStopwatch sw;
// sw.Start();
// for (i=0;i<N;i++) {
// x = gRandom->Rndm(i);
// }
// printf("Rndm.............. %8.3f microseconds/calln",sw.CpuTime()*cpn);
// sw.Start();
// for (i=0;i<N;i++) {
// x = gRandom->Gaus(0,1);
// }
// printf("Gaus.............. %8.3fn",sw.CpuTime()*cpn);
// sw.Start();
// for (i=0;i<N;i++) {
// x = gRandom->Landau(0,1);
// }
// printf("Landau............ %8.3fn",sw.CpuTime()*cpn);
// sw.Start();
// for (i=0;i<N;i++) {
// x = gRandom->Binomial(5,0.5);
// }
// printf("Binomial(5,0.5)... %8.3fn",sw.CpuTime()*cpn);
// sw.Start();
// for (i=0;i<N;i++) {
// x = gRandom->Binomial(15,0.5);
// }
// printf("Binomial(15,0.5).. %8.3fn",sw.CpuTime()*cpn);
// sw.Start();
// for (i=0;i<N;i++) {
// x = gRandom->Poisson(3);
// }
// printf("Poisson(3)........ %8.3fn",sw.CpuTime()*cpn);
// sw.Start();
// for (i=0;i<N;i++) {
// x = gRandom->Poisson(10);
// }
// printf("Poisson(10)....... %8.3fn",sw.CpuTime()*cpn);
// sw.Start();
// for (i=0;i<N;i++) {
// x = gRandom->Poisson(70);
// }
// printf("Poisson(70)....... %8.3fn",sw.CpuTime()*cpn);
// sw.Start();
// for (i=0;i<N;i++) {
// x = gRandom->Poisson(100);
// }
// printf("Poisson(100)...... %8.3fn",sw.CpuTime()*cpn);
//
// TF1 *f1 = new TF1("f1","gaus",-4,4);
// f1->SetParameters(1,0,1);
// sw.Start();
// for (i=0;i<N;i++) {
// x = f1->GetRandom();
// }
// printf("GausTF1........... %8.3fn",sw.CpuTime()*cpn);
//
// TF1 *f2 = new TF1("f2","landau",-5,15);
// f2->SetParameters(1,0,1);
// sw.Start();
// for (i=0;i<N;i++) {
// x = f2->GetRandom();
// }
// printf("LandauTF1......... %8.3fn",sw.CpuTime()*cpn);
//
// }
//////////////////////////////////////////////////////////////////////////
//*KEEP,TMath.
#include "TMath.h"
//*KEEP,TRandom,T=C++.
#include "TRandom.h"
//*KEND.
#include <time.h>
ClassImp(TRandom)
//______________________________________________________________________________
TRandom::TRandom(UInt_t seed): TNamed("Random","Default Random number generator")
{
//*-*-*-*-*-*-*-*-*-*-*default constructor*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
//*-* ===================
SetSeed(seed);
}
//______________________________________________________________________________
TRandom::~TRandom()
{
//*-*-*-*-*-*-*-*-*-*-*default destructor*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
//*-* ==================
}
//______________________________________________________________________________
Int_t TRandom::Binomial(Int_t ntot, Float_t prob)
{
// Generates a random integer N according to the binomial law
// Coded from Los Alamos report LA-5061-MS
//
// N is binomially distributed between 0 and ntot inclusive
// with mean prob*ntot.
// prob is between 0 and 1.
//
// Note: This function should not be used when ntot is large (say >100).
// The normal approximation is then recommended instead
// (with mean =*ntot+0.5 and standard deviation sqrt(ntot*prob*(1-prob)).
if (prob < 0 || prob > 1) return 0;
Int_t N = 0;
for (Int_t i=0;i<ntot;i++) {
if (Rndm(N) > prob) break;
N++;
}
return N;
}
//______________________________________________________________________________
Float_t TRandom::Gaus(Float_t mean, Float_t sigma)
{
// Return a number distributed following a gaussian with mean and sigma
// Local variables
Float_t x, y, z, result;
y = Rndm();
if (!y) y = Rndm();
z = Rndm();
x = z * 6.283185;
result = mean + sigma*TMath::Sin(x)*TMath::Sqrt(-2*TMath::Log(y));
return result;
}
//______________________________________________________________________________
Float_t TRandom::Landau(Float_t mean, Float_t sigma)
{
// Generate a random number following a Landau distribution
// with average value mean and rms
// Converted by Rene Brun from CERNLIB routine ranlan(G110)
Double_t f[982] = {
0 , 0 , 0 ,0 ,0 ,-2.244733,
-2.204365,-2.168163,-2.135219,-2.104898,-2.076740,-2.050397,
-2.025605,-2.002150,-1.979866,-1.958612,-1.938275,-1.918760,
-1.899984,-1.881879,-1.864385,-1.847451,-1.831030,-1.815083,
-1.799574,-1.784473,-1.769751,-1.755383,-1.741346,-1.727620,
-1.714187,-1.701029,-1.688130,-1.675477,-1.663057,-1.650858,
-1.638868,-1.627078,-1.615477,-1.604058,-1.592811,-1.581729,
-1.570806,-1.560034,-1.549407,-1.538919,-1.528565,-1.518339,
-1.508237,-1.498254,-1.488386,-1.478628,-1.468976,-1.459428,
-1.449979,-1.440626,-1.431365,-1.422195,-1.413111,-1.404112,
-1.395194,-1.386356,-1.377594,-1.368906,-1.360291,-1.351746,
-1.343269,-1.334859,-1.326512,-1.318229,-1.310006,-1.301843,
-1.293737,-1.285688,-1.277693,-1.269752,-1.261863,-1.254024,
-1.246235,-1.238494,-1.230800,-1.223153,-1.215550,-1.207990,
-1.200474,-1.192999,-1.185566,-1.178172,-1.170817,-1.163500,
-1.156220,-1.148977,-1.141770,-1.134598,-1.127459,-1.120354,
-1.113282,-1.106242,-1.099233,-1.092255,
-1.085306,-1.078388,-1.071498,-1.064636,-1.057802,-1.050996,
-1.044215,-1.037461,-1.030733,-1.024029,-1.017350,-1.010695,
-1.004064, -.997456, -.990871, -.984308, -.977767, -.971247,
-.964749, -.958271, -.951813, -.945375, -.938957, -.932558,
-.926178, -.919816, -.913472, -.907146, -.900838, -.894547,
-.888272, -.882014, -.875773, -.869547, -.863337, -.857142,
-.850963, -.844798, -.838648, -.832512, -.826390, -.820282,
-.814187, -.808106, -.802038, -.795982, -.789940, -.783909,
-.777891, -.771884, -.765889, -.759906, -.753934, -.747973,
-.742023, -.736084, -.730155, -.724237, -.718328, -.712429,
-.706541, -.700661, -.694791, -.688931, -.683079, -.677236,
-.671402, -.665576, -.659759, -.653950, -.648149, -.642356,
-.636570, -.630793, -.625022, -.619259, -.613503, -.607754,
-.602012, -.596276, -.590548, -.584825, -.579109, -.573399,
-.567695, -.561997, -.556305, -.550618, -.544937, -.539262,
-.533592, -.527926, -.522266, -.516611, -.510961, -.505315,
-.499674, -.494037, -.488405, -.482777,
-.477153, -.471533, -.465917, -.460305, -.454697, -.449092,
-.443491, -.437893, -.432299, -.426707, -.421119, -.415534,
-.409951, -.404372, -.398795, -.393221, -.387649, -.382080,
-.376513, -.370949, -.365387, -.359826, -.354268, -.348712,
-.343157, -.337604, -.332053, -.326503, -.320955, -.315408,
-.309863, -.304318, -.298775, -.293233, -.287692, -.282152,
-.276613, -.271074, -.265536, -.259999, -.254462, -.248926,
-.243389, -.237854, -.232318, -.226783, -.221247, -.215712,
-.210176, -.204641, -.199105, -.193568, -.188032, -.182495,
-.176957, -.171419, -.165880, -.160341, -.154800, -.149259,
-.143717, -.138173, -.132629, -.127083, -.121537, -.115989,
-.110439, -.104889, -.099336, -.093782, -.088227, -.082670,
-.077111, -.071550, -.065987, -.060423, -.054856, -.049288,
-.043717, -.038144, -.032569, -.026991, -.021411, -.015828,
-.010243, -.004656, .000934, .006527, .012123, .017722,
.023323, .028928, .034535, .040146, .045759, .051376,
.056997, .062620, .068247, .073877,
.079511, .085149, .090790, .096435, .102083, .107736,
.113392, .119052, .124716, .130385, .136057, .141734,
.147414, .153100, .158789, .164483, .170181, .175884,
.181592, .187304, .193021, .198743, .204469, .210201,
.215937, .221678, .227425, .233177, .238933, .244696,
.250463, .256236, .262014, .267798, .273587, .279382,
.285183, .290989, .296801, .302619, .308443, .314273,
.320109, .325951, .331799, .337654, .343515, .349382,
.355255, .361135, .367022, .372915, .378815, .384721,
.390634, .396554, .402481, .408415, .414356, .420304,
.426260, .432222, .438192, .444169, .450153, .456145,
.462144, .468151, .474166, .480188, .486218, .492256,
.498302, .504356, .510418, .516488, .522566, .528653,
.534747, .540850, .546962, .553082, .559210, .565347,
.571493, .577648, .583811, .589983, .596164, .602355,
.608554, .614762, .620980, .627207, .633444, .639689,
.645945, .652210, .658484, .664768,
.671062, .677366, .683680, .690004, .696338, .702682,
.709036, .715400, .721775, .728160, .734556, .740963,
.747379, .753807, .760246, .766695, .773155, .779627,
.786109, .792603, .799107, .805624, .812151, .818690,
.825241, .831803, .838377, .844962, .851560, .858170,
.864791, .871425, .878071, .884729, .891399, .898082,
.904778, .911486, .918206, .924940, .931686, .938446,
.945218, .952003, .958802, .965614, .972439, .979278,
.986130, .992996, .999875, 1.006769, 1.013676, 1.020597,
1.027533, 1.034482, 1.041446, 1.048424, 1.055417, 1.062424,
1.069446, 1.076482, 1.083534, 1.090600, 1.097681, 1.104778,
1.111889, 1.119016, 1.126159, 1.133316, 1.140490, 1.147679,
1.154884, 1.162105, 1.169342, 1.176595, 1.183864, 1.191149,
1.198451, 1.205770, 1.213105, 1.220457, 1.227826, 1.235211,
1.242614, 1.250034, 1.257471, 1.264926, 1.272398, 1.279888,
1.287395, 1.294921, 1.302464, 1.310026, 1.317605, 1.325203,
1.332819, 1.340454, 1.348108, 1.355780,
1.363472, 1.371182, 1.378912, 1.386660, 1.394429, 1.402216,
1.410024, 1.417851, 1.425698, 1.433565, 1.441453, 1.449360,
1.457288, 1.465237, 1.473206, 1.481196, 1.489208, 1.497240,
1.505293, 1.513368, 1.521465, 1.529583, 1.537723, 1.545885,
1.554068, 1.562275, 1.570503, 1.578754, 1.587028, 1.595325,
1.603644, 1.611987, 1.620353, 1.628743, 1.637156, 1.645593,
1.654053, 1.662538, 1.671047, 1.679581, 1.688139, 1.696721,
1.705329, 1.713961, 1.722619, 1.731303, 1.740011, 1.748746,
1.757506, 1.766293, 1.775106, 1.783945, 1.792810, 1.801703,
1.810623, 1.819569, 1.828543, 1.837545, 1.846574, 1.855631,
1.864717, 1.873830, 1.882972, 1.892143, 1.901343, 1.910572,
1.919830, 1.929117, 1.938434, 1.947781, 1.957158, 1.966566,
1.976004, 1.985473, 1.994972, 2.004503, 2.014065, 2.023659,
2.033285, 2.042943, 2.052633, 2.062355, 2.072110, 2.081899,
2.091720, 2.101575, 2.111464, 2.121386, 2.131343, 2.141334,
2.151360, 2.161421, 2.171517, 2.181648, 2.191815, 2.202018,
2.212257, 2.222533, 2.232845, 2.243195,
2.253582, 2.264006, 2.274468, 2.284968, 2.295507, 2.306084,
2.316701, 2.327356, 2.338051, 2.348786, 2.359562, 2.370377,
2.381234, 2.392131, 2.403070, 2.414051, 2.425073, 2.436138,
2.447246, 2.458397, 2.469591, 2.480828, 2.492110, 2.503436,
2.514807, 2.526222, 2.537684, 2.549190, 2.560743, 2.572343,
2.583989, 2.595682, 2.607423, 2.619212, 2.631050, 2.642936,
2.654871, 2.666855, 2.678890, 2.690975, 2.703110, 2.715297,
2.727535, 2.739825, 2.752168, 2.764563, 2.777012, 2.789514,
2.802070, 2.814681, 2.827347, 2.840069, 2.852846, 2.865680,
2.878570, 2.891518, 2.904524, 2.917588, 2.930712, 2.943894,
2.957136, 2.970439, 2.983802, 2.997227, 3.010714, 3.024263,
3.037875, 3.051551, 3.065290, 3.079095, 3.092965, 3.106900,
3.120902, 3.134971, 3.149107, 3.163312, 3.177585, 3.191928,
3.206340, 3.220824, 3.235378, 3.250005, 3.264704, 3.279477,
3.294323, 3.309244, 3.324240, 3.339312, 3.354461, 3.369687,
3.384992, 3.400375, 3.415838, 3.431381, 3.447005, 3.462711,
3.478500, 3.494372, 3.510328, 3.526370,
3.542497, 3.558711, 3.575012, 3.591402, 3.607881, 3.624450,
3.641111, 3.657863, 3.674708, 3.691646, 3.708680, 3.725809,
3.743034, 3.760357, 3.777779, 3.795300, 3.812921, 3.830645,
3.848470, 3.866400, 3.884434, 3.902574, 3.920821, 3.939176,
3.957640, 3.976215, 3.994901, 4.013699, 4.032612, 4.051639,
4.070783, 4.090045, 4.109425, 4.128925, 4.148547, 4.168292,
4.188160, 4.208154, 4.228275, 4.248524, 4.268903, 4.289413,
4.310056, 4.330832, 4.351745, 4.372794, 4.393982, 4.415310,
4.436781, 4.458395, 4.480154, 4.502060, 4.524114, 4.546319,
4.568676, 4.591187, 4.613854, 4.636678, 4.659662, 4.682807,
4.706116, 4.729590, 4.753231, 4.777041, 4.801024, 4.825179,
4.849511, 4.874020, 4.898710, 4.923582, 4.948639, 4.973883,
4.999316, 5.024942, 5.050761, 5.076778, 5.102993, 5.129411,
5.156034, 5.182864, 5.209903, 5.237156, 5.264625, 5.292312,
5.320220, 5.348354, 5.376714, 5.405306, 5.434131, 5.463193,
5.492496, 5.522042, 5.551836, 5.581880, 5.612178, 5.642734,
5.673552, 5.704634, 5.735986, 5.767610,
5.799512, 5.831694, 5.864161, 5.896918, 5.929968, 5.963316,
5.996967, 6.030925, 6.065194, 6.099780, 6.134687, 6.169921,
6.205486, 6.241387, 6.277630, 6.314220, 6.351163, 6.388465,
6.426130, 6.464166, 6.502578, 6.541371, 6.580553, 6.620130,
6.660109, 6.700495, 6.741297, 6.782520, 6.824173, 6.866262,
6.908795, 6.951780, 6.995225, 7.039137, 7.083525, 7.128398,
7.173764, 7.219632, 7.266011, 7.312910, 7.360339, 7.408308,
7.456827, 7.505905, 7.555554, 7.605785, 7.656608, 7.708035,
7.760077, 7.812747, 7.866057, 7.920019, 7.974647, 8.029953,
8.085952, 8.142657, 8.200083, 8.258245, 8.317158, 8.376837,
8.437300, 8.498562, 8.560641, 8.623554, 8.687319, 8.751955,
8.817481, 8.883916, 8.951282, 9.019600, 9.088889, 9.159174,
9.230477, 9.302822, 9.376233, 9.450735, 9.526355, 9.603118,
9.681054, 9.760191, 9.840558, 9.922186,10.005107,10.089353,
10.174959,10.261958,10.350389,10.440287,10.531693,10.624646,
10.719188,10.815362,10.913214,11.012789,11.114137,11.217307,
11.322352,11.429325,11.538283,11.649285,
11.762390,11.877664,11.995170,12.114979,12.237161,12.361791,
12.488946,12.618708,12.751161,12.886394,13.024498,13.165570,
13.309711,13.457026,13.607625,13.761625,13.919145,14.080314,
14.245263,14.414134,14.587072,14.764233,14.945778,15.131877,
15.322712,15.518470,15.719353,15.925570,16.137345,16.354912,
16.578520,16.808433,17.044929,17.288305,17.538873,17.796967,
18.062943,18.337176,18.620068,18.912049,19.213574,19.525133,
19.847249,20.180480,20.525429,20.882738,21.253102,21.637266,
22.036036,22.450278,22.880933,23.329017,23.795634,24.281981,
24.789364,25.319207,25.873062,26.452634,27.059789,27.696581,
28.365274,29.068370,29.808638,30.589157,31.413354,32.285060,
33.208568,34.188705,35.230920,36.341388,37.527131,38.796172,
40.157721,41.622399,43.202525,44.912465,46.769077,48.792279,
51.005773,53.437996,56.123356,59.103894 };
if (sigma <= 0) return 0;
Float_t ranlan, x, u, v;
x = Rndm();
u = 1000*x;
Int_t i = Int_t(u);
u -= i;
if (i >= 70 && i < 800) {
ranlan = f[i-1] + u*(f[i] - f[i-1]);
} else if (i >= 7 && i <= 980) {
ranlan = f[i-1] + u*(f[i]-f[i-1]-0.25*(1-u)*(f[i+1]-f[i]-f[i-1]+f[i-2]));
} else if (i < 7) {
v = TMath::Log(x);
u = 1/v;
ranlan = ((0.99858950+(3.45213058E1+1.70854528E1*u)*u)/
(1 +(3.41760202E1+4.01244582 *u)*u))*
(-TMath::Log(-0.91893853-v)-1);
} else {
u = 1-x;
v = u*u;
if (x <= 0.999) {
ranlan = (1.00060006+2.63991156E2*u+4.37320068E3*v)/
((1 +2.57368075E2*u+3.41448018E3*v)*u);
} else {
ranlan = (1.00001538+6.07514119E3*u+7.34266409E5*v)/
((1 +6.06511919E3*u+6.94021044E5*v)*u);
}
}
return mean + sigma*ranlan;
}
//______________________________________________________________________________
Int_t TRandom::Poisson(Float_t mean)
{
// Generates a random integer N according to a Poisson law.
// Coded from Los Alamos report LA-5061-MS
// Prob(N) = exp(-mean)*mean^N/Factorial(N)
//
Int_t N;
if (mean <= 0) return 0;
// use a gaussian approximation for large values of mean
if (mean > 88) {
N = Int_t(Gaus(0,1)*TMath::Sqrt(mean) + mean +0.5);
return N;
}
Float_t expmean = TMath::Exp(-mean);
Float_t pir = 1;
N = -1;
while(1) {
N++;
pir *= Rndm(N);
if (pir <= expmean) break;
}
return N;
}
//______________________________________________________________________________
void TRandom::Rannor(Float_t &a, Float_t &b)
{
// Return 2 numbers distributed following a gaussian with mean=0 and sigma=1
// Local variables
Float_t r, x, y, z;
y = Rndm();
if (!y) y = Rndm();
z = Rndm();
x = z * 6.283185;
r = TMath::Sqrt(-2*TMath::Log(y));
a = r * TMath::Sin(x);
b = r * TMath::Cos(x);
}
//______________________________________________________________________________
Float_t TRandom::Rndm(Int_t)
{
// Machine independent random number generator.
// Produces uniformly-distributed floating points between 0 and 1.
// Identical sequence on all machines of >= 32 bits.
// Periodicity = 10**8
// Universal version (Fred james 1985).
const Float_t kCONS = 4.6566128730774E-10;
const Int_t kMASK31 = 2147483647;
fSeed *= 69069;
// keep only lower 31 bits
fSeed &= kMASK31;
// Set lower 8 bits to zero to assure exact float
Int_t jy = (fSeed/256)*256;
Float_t random = kCONS*jy;
return random;
}
//______________________________________________________________________________
void TRandom::SetSeed(UInt_t seed)
{
// Set the random generator seed
// if seed is zero, the seed is set to the current machine clock
if( seed==0 ) {
time_t curtime; // Set 'random' seed number if seed=0
time(&curtime); // Get current time in fSeed.
fSeed = (UInt_t)curtime;
} else {
fSeed = seed;
}
}
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