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Volumn 100, Issue 5, 2008, Pages
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Bayesian analysis of pentaquark signals from CLAS data
(193)
Ireland, D G
a
McKinnon, B
a
Protopopescu, D
a
Ambrozewicz, P
m
Anghinolfi, M
r
Asryan, G
al
Avakian, H
ag
Bagdasaryan, H
ab
Baillie, N
ak
Ball, J P
c
Baltzell, N A
af
Batourine, V
v
Battaglieri, M
r
Bedlinskiy, I
t
Bellis, M
f
Benmouna, N
o
Berman, B L
o
Biselli, A S
f,l
Blaszczyk, L
n
Bouchigny, S
s
Boiarinov, S
ag
Bradford, R
f
Branford, D
k
Briscoe, W J
o
Brooks, W K
ag
Burkert, V D
ag
Butuceanu, C
ak
Calarco, J R
y
Careccia, S L
ab
Carman, D S
ag
Casey, L
g
Chen, S
n
Cheng, L
g
Cole, P L
p
Collins, P
c
Coltharp, P
n
Crabb, D
aj
Crede, V
n
Dashyan, N
al
De Masi, R
h,s
De Vita, R
r
De Sanctis, E
q
Degtyarenko, P V
ag
Deur, A
ag
Dickson, R
f
Djalali, C
af
Dodge, G E
ab
Donnelly, J
a
Doughty, D
i,ag
Dugger, M
c
Dzyubak, O P
af
Egiyan, K S
al
El Fassi, L
b
Elouadrhiri, L
ag
Eugenio, P
n
Fedotov, G
x
Feldman, G
o
Fradi, A
s
Funsten, H
ak
Garcon M
h
Gavalian, G
ab
Gevorgyan, N
al
Gilfoyle, G P
ae
Giovanetti, K L
u
Girod, F X
h,ag
Goetz, J T
d
Gohn, W
j
Gonenc, A
m
Gothe, R W
af
Griffioen, K A
ak
Guidal, M
s
Guler, N
ab
Guo, L
ag
Gyurjyan, V
ag
Hafidi, K
b
Hakobyan, H
al
Hanretty, C
n
Hassall, N
a
Hersman, F W
y
Hleiqawi, I
aa
Holtrop, M
y
Hyde Wright, C E
ab
Ilieva, Y
o
Ishkhanov, B S
x
Isupov, E L
x
Jenkins, D
ai
Jo, H S
s
Johnstone, J R
a
Joo, K
j
Juengst, H G
ab
Kalantarians, N
ab
Kellie, J D
a
Khandaker, M
z
Kim, W
v
Klein, A
ab
Klein, F J
g
Kossov, M
t
Krahn, Z
f
Kramer, L H
m,ag
Kubarovsky, V
ac,ag
Kuhn, J
f
Kuleshov, S V
t
Kuznetsov, V
v
Lachniet, J
ab
Laget, J M
ag
Langheinrich, J
af
Lawrence, D
w
Livingston, K
a
Lu, H Y
af
MacCormick, M
s
Markov, N
j
Mattione, P
ad
Mecking, B A
ag
Mestayer, M D
ag
Meyer, C A
f
Mibe, T
aa
Mikhailov, K
t
Mirazita, M
q
Miskimen, R
w
Mokeev, V
x,ag
Moreno, B
s
Moriya, K
f
Morrow, S A
h,s
Moteabbed, M
m
Munevar, E
o
Mutchler, G S
ad
Nadel Turonski, P
o
Nasseripour, R
af
Niccolai, S
s
Niculescu, G
u
Niculescu, I
u
Niczyporuk, B B
ag
Niroula, M R
ab
Niyazov, R A
ag
Nozar, M
ag
Osipenko, M
r,x
Ostrovidov, A I
n
Park, K
v
Pasyuk, E
c
Paterson, C
a
Pereira, S Anefalos
q
Pierce, J
aj
Pivnyuk, N
t
Pogorelko, O
t
Pozdniakov, S
t
Price, J W
e
Procureur, S
h
Prok, Y
aj
Raue, B A
m,ag
Ricco, G
r
Ripani, M
r
Ritchie, B G
c
Ronchetti, F
q
Rosner, G
a
Rossi, P
q
Sabatie F
h
Salamanca, J
p
Salgado, C
z
Santoro, J P
g
Sapunenko, V
ag
Schumacher, R A
f
Serov, V S
t
Sharabian, Y G
ag
Sharov, D
x
Shvedunov, N V
x
Smith, L C
aj
Sober, D I
g
Sokhan, D
k
Stavinsky, A
t
Stepanyan, S S
v
Stepanyan, S
ag
Stokes, B E
n
Stoler, P
ac
Strauch, S
af
Taiuti, M
r
Tedeschi, D J
af
Tkabladze, A
o
Tkachenko, S
ab
Tur, C
af
Ungaro, M
j
Vineyard, M F
ah
Vlassov, A V
t
Watts, D P
k
Weinstein, L B
ab
Weygand, D P
ag
Williams, M
f
Wolin, E
ag
Wood, M H
af
Yegneswaran, A
ag
Zana, L
y
Zhang, J
ab
Zhao, B
j
Zhao, Z W
af
more..
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Author keywords
[No Author keywords available]
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Indexed keywords
BAYESIAN NETWORKS;
DATA REDUCTION;
PARTICLE SIZE;
BAYESIAN ANALYSIS;
RIGOROUS MANNER;
SIGNAL ANALYSIS;
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EID: 38949217763
PISSN: 00319007
EISSN: 10797114
Source Type: Journal
DOI: 10.1103/PhysRevLett.100.052001
Document Type: Article
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Data Analysis-A Bayesian Tutorial
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