Main Page
Namespaces
Classes
Package Documentation
All
Classes
Namespaces
Files
Functions
Variables
Typedefs
Enumerations
Enumerator
Properties
Friends
Macros
Pages
Utilities
BinningTools
src
ClusterizingHistogram.cc
Go to the documentation of this file.
1
#include "
Utilities/BinningTools/interface/ClusterizingHistogram.h
"
2
#include <iostream>
3
4
using namespace
std;
5
6
ClusterizingHistogram::ClusterizingHistogram
(
int
nb,
float
xmi,
float
xma) :
7
my_nbins(nb),
xmin
(xmi),
xmax
(xma), my_entries(0), my_underflows(0), my_overflows(0) {
8
bin_entries
=
new
int
[
my_nbins
];
9
bin_means
=
new
float
[
my_nbins
];
10
binsiz
= (
xmax
-
xmin
) /
my_nbins
;
11
for
(
int
i
=0;
i
<
my_nbins
;
i
++) {
12
bin_entries
[
i
] = 0;
13
bin_means
[
i
] = 0.;
14
}
15
}
16
ClusterizingHistogram::~ClusterizingHistogram
(){
delete
[]
bin_entries
;
delete
[]
bin_means
;}
17
18
int
ClusterizingHistogram::bin
(
float
x
)
const
{
19
if
(x <
xmin
)
return
-1;
20
else
if
(x >
xmax
)
return
my_nbins
;
21
else
return
int((x-
xmin
)/
binsiz
);
22
}
23
int
ClusterizingHistogram::bin
(
double
x
)
const
{
24
if
(x <
xmin
)
return
-1;
25
else
if
(x >
xmax
)
return
my_nbins
;
26
else
return
int((x-
xmin
)/
binsiz
);
27
}
28
29
void
ClusterizingHistogram::fill
(
float
x
) {
30
if
(x <
xmin
)
my_underflows
++;
31
else
if
(x >
xmax
)
my_overflows
++;
32
else
{
33
int
bin
= int((x-
xmin
)/
binsiz
);
34
if
( bin >
my_nbins
-1) bin =
my_nbins
-1;
35
++
bin_entries
[
bin
];
36
bin_means
[
bin
] +=
x
;
37
my_entries
++;
38
// may be problematic for negative x; check!
39
}
40
}
41
42
vector<float>
ClusterizingHistogram::clusterize
(
float
resol) {
43
vector<float> clust;
44
int
nclust = 0;
45
bool
inclust =
false
;
46
float
last_pos =
xmin
- 1000.*resol;
47
int
sum = 0;
48
float
sumx = 0;
49
for
(
int
i
=0;
i
<
my_nbins
;
i
++) {
50
if
(
bin_entries
[
i
] != 0) {
51
if
( fabs(
bin_pos
(
i
)-last_pos) > resol) {
52
inclust =
false
;
53
if
(nclust != 0) clust.push_back( sumx/sum);
// create cluster
54
}
55
if
(!inclust) {
56
nclust++;
57
sumx = 0.;
58
sum = 0;
59
}
60
sum +=
bin_entries
[
i
];
61
sumx +=
bin_means
[
i
];
62
last_pos =
bin_pos
(
i
);
63
inclust =
true
;
64
}
65
}
66
if
(nclust != 0) clust.push_back( sumx/sum);
// create last cluster
67
return
clust;
68
}
69
70
71
void
ClusterizingHistogram::dump
()
const
{
dump
(0,
my_nbins
);}
72
73
void
ClusterizingHistogram::dump
(
int
i1,
int
i2)
const
{
74
cout
<<
"Dumping ClusterizingHistogram contents:"
<< endl;
75
for
(
int
i
=
max
(i1,0);
i
<
min
(i2,
my_nbins
);
i
++) {
76
cout
<<
i
<<
" "
<<
bin_entries
[
i
] <<
" "
<<
bin_pos
(
i
) << endl;
77
}
78
cout
<<
"Underflows: "
<<
my_underflows
<< endl;
79
cout
<<
"Overflows: "
<<
my_overflows
<< endl;
80
cout
<<
"Total number of entries: "
<<
my_entries
<< endl;
81
}
82
83
void
ClusterizingHistogram::dump
(
float
x1,
float
x2)
const
{
dump
(
bin
(x1),
bin
(x2));}
84
void
ClusterizingHistogram::dump
(
double
x1,
double
x2)
const
{
dump
(
bin
(x1),
bin
(x2));}
85
void
ClusterizingHistogram::dump
(
float
x1,
double
x2)
const
{
dump
(
bin
(x1),
bin
(x2));}
86
void
ClusterizingHistogram::dump
(
double
x1,
float
x2)
const
{
dump
(
bin
(x1),
bin
(x2));}
87
88
void
ClusterizingHistogram::reset
() {
89
my_entries
= 0;
90
my_underflows
= 0;
91
my_overflows
= 0;
92
for
(
int
i
=0;
i
<
my_nbins
;
i
++) {
93
bin_entries
[
i
] = 0;
94
bin_means
[
i
] = 0.;
95
}
96
}
i
int i
Definition:
DBlmapReader.cc:9
ClusterizingHistogram::my_nbins
int my_nbins
Definition:
ClusterizingHistogram.h:41
ClusterizingHistogram.h
ClusterizingHistogram::dump
void dump() const
Definition:
ClusterizingHistogram.cc:71
ClusterizingHistogram::~ClusterizingHistogram
~ClusterizingHistogram()
Definition:
ClusterizingHistogram.cc:16
ClusterizingHistogram::bin_entries
int * bin_entries
Definition:
ClusterizingHistogram.h:47
SiStripMonitorClusterAlca_cfi.xmin
tuple xmin
Definition:
SiStripMonitorClusterAlca_cfi.py:34
ClusterizingHistogram::my_overflows
int my_overflows
Definition:
ClusterizingHistogram.h:46
x
T x() const
Cartesian x coordinate.
Definition:
Basic3DVectorLD.h:127
ClusterizingHistogram::clusterize
std::vector< float > clusterize(float resolution)
Definition:
ClusterizingHistogram.cc:42
ClusterizingHistogram::bin
int bin(float x) const
Definition:
ClusterizingHistogram.cc:18
min
T min(T a, T b)
Definition:
MathUtil.h:58
ClusterizingHistogram::fill
void fill(float x)
Definition:
ClusterizingHistogram.cc:29
ClusterizingHistogram::bin_pos
float bin_pos(int i) const
Definition:
ClusterizingHistogram.h:25
ClusterizingHistogram::my_entries
int my_entries
Definition:
ClusterizingHistogram.h:44
ClusterizingHistogram::xmax
float xmax
Definition:
ClusterizingHistogram.h:43
SiStripMonitorClusterAlca_cfi.xmax
tuple xmax
Definition:
SiStripMonitorClusterAlca_cfi.py:35
bookConverter.max
max
Definition:
bookConverter.py:166
ClusterizingHistogram::my_underflows
int my_underflows
Definition:
ClusterizingHistogram.h:45
ClusterizingHistogram::ClusterizingHistogram
ClusterizingHistogram()
Definition:
ClusterizingHistogram.h:40
gather_cfg.cout
tuple cout
Definition:
gather_cfg.py:121
ClusterizingHistogram::xmin
float xmin
Definition:
ClusterizingHistogram.h:42
ClusterizingHistogram::binsiz
float binsiz
Definition:
ClusterizingHistogram.h:49
DDAxes::x
ClusterizingHistogram::bin_means
float * bin_means
Definition:
ClusterizingHistogram.h:48
ClusterizingHistogram::reset
void reset()
Definition:
ClusterizingHistogram.cc:88
Generated for CMSSW Reference Manual by
1.8.5