Beam-energy dependence of identified two-particle angular correlations in Au+Au collisions at RHIC
STAR Collaboration: J. Adam, L. Adamczyk, J. R. Adams, J. K. Adkins,, G. Agakishiev, M. M. Aggarwal, Z. Ahammed, I. Alekseev, D. M. Anderson, A., Aparin, E. C. Aschenauer, M. U. Ashraf, F. G. Atetalla, A. Attri, G. S., Averichev, V. Bairathi, K. Barish, A. Behera, R. Bellwied

TL;DR
This study measures two-particle angular correlations in gold-gold collisions at various energies, revealing energy-dependent behaviors and novel proton anticorrelation phenomena, providing insights into the underlying collision dynamics.
Contribution
It presents the first observation of proton anticorrelations in A+A collisions and compares these results across multiple beam energies and models.
Findings
Pion and kaon correlations show near-side peaks that decrease with energy.
Proton correlations exhibit strong anticorrelations, a first in A+A collisions.
Anticorrelation strength diminishes with increasing energy and centrality.
Abstract
The two-particle angular correlation functions, , of pions, kaons, and protons in Au+Au collisions at 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4, and 200 GeV were measured by the STAR experiment at RHIC. These correlations were measured for both like-sign and unlike-sign charge combinations and versus the centrality. The correlations of pions and kaons show the expected near-side ({\it i.e.}, at small relative angles) peak resulting from short-range mechanisms. The amplitudes of these short-range correlations decrease with increasing beam energy. However, the proton correlation functions exhibit strong anticorrelations in the near-side region. This behavior is observed for the first time in an A+A collision system. The observed anticorrelation is -independent and decreases with increasing beam energy and centrality. The experimental results are also compared to the…
| Year | ||
| (GeV) | (million) | |
| 7.7 | 2010 | 3.2 |
| 11.5 | 2010 | 11.4 |
| 14.5 | 2014 | 15.9 |
| 19.6 | 2011 | 17.1 |
| 27 | 2011 | 31.3 |
| 39 | 2010 | 36.8 |
| 62.4 | 2010 | 39 |
| 200 | 2010 | 59.3 |
| 0.22.0 GeV/c | 0.42 | |
|---|---|---|
| K± | 0.21.6 GeV/c | 0.40 |
| p, | 0.42.0 GeV/c | 0.60 |
| LS: | ||
| US: | ||
| K± | LS: | |
| US: | ||
| p, | LS: | |
| US: |
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STAR Collaboration
Beam-energy dependence of identified two-particle angular correlations in Au+Au collisions at RHIC
J. Adam
Brookhaven National Laboratory, Upton, New York 11973
L. Adamczyk
AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
J. R. Adams
Ohio State University, Columbus, Ohio 43210
J. K. Adkins
University of Kentucky, Lexington, Kentucky 40506-0055
G. Agakishiev
Joint Institute for Nuclear Research, Dubna 141 980, Russia
M. M. Aggarwal
Panjab University, Chandigarh 160014, India
Z. Ahammed
Variable Energy Cyclotron Centre, Kolkata 700064, India
I. Alekseev
Alikhanov Institute for Theoretical and Experimental Physics NRC ”Kurchatov Institute”, Moscow 117218, Russia
National Research Nuclear University MEPhI, Moscow 115409, Russia
D. M. Anderson
Texas A&M University, College Station, Texas 77843
A. Aparin
Joint Institute for Nuclear Research, Dubna 141 980, Russia
E. C. Aschenauer
Brookhaven National Laboratory, Upton, New York 11973
M. U. Ashraf
Central China Normal University, Wuhan, Hubei 430079
F. G. Atetalla
Kent State University, Kent, Ohio 44242
A. Attri
Panjab University, Chandigarh 160014, India
G. S. Averichev
Joint Institute for Nuclear Research, Dubna 141 980, Russia
V. Bairathi
Indian Institute of Science Education and Research (IISER), Berhampur 760010 , India
K. Barish
University of California, Riverside, California 92521
A. J. Bassill
University of California, Riverside, California 92521
A. Behera
State University of New York, Stony Brook, New York 11794
R. Bellwied
University of Houston, Houston, Texas 77204
A. Bhasin
University of Jammu, Jammu 180001, India
J. Bielcik
Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
J. Bielcikova
Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
L. C. Bland
Brookhaven National Laboratory, Upton, New York 11973
I. G. Bordyuzhin
Alikhanov Institute for Theoretical and Experimental Physics NRC ”Kurchatov Institute”, Moscow 117218, Russia
J. D. Brandenburg
Shandong University, Qingdao, Shandong 266237
Brookhaven National Laboratory, Upton, New York 11973
A. V. Brandin
National Research Nuclear University MEPhI, Moscow 115409, Russia
J. Butterworth
Rice University, Houston, Texas 77251
H. Caines
Yale University, New Haven, Connecticut 06520
M. Calderón de la Barca Sánchez
University of California, Davis, California 95616
D. Cebra
University of California, Davis, California 95616
I. Chakaberia
Kent State University, Kent, Ohio 44242
Brookhaven National Laboratory, Upton, New York 11973
P. Chaloupka
Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
B. K. Chan
University of California, Los Angeles, California 90095
F-H. Chang
National Cheng Kung University, Tainan 70101
Z. Chang
Brookhaven National Laboratory, Upton, New York 11973
N. Chankova-Bunzarova
Joint Institute for Nuclear Research, Dubna 141 980, Russia
A. Chatterjee
Central China Normal University, Wuhan, Hubei 430079
D. Chen
University of California, Riverside, California 92521
J. H. Chen
Fudan University, Shanghai, 200433
X. Chen
University of Science and Technology of China, Hefei, Anhui 230026
J. Cheng
Tsinghua University, Beijing 100084
M. Cherney
Creighton University, Omaha, Nebraska 68178
M. Chevalier
University of California, Riverside, California 92521
S. Choudhury
Fudan University, Shanghai, 200433
W. Christie
Brookhaven National Laboratory, Upton, New York 11973
H. J. Crawford
University of California, Berkeley, California 94720
M. Csanád
ELTE Eötvös Loránd University, Budapest, Hungary H-1117
S. Das
Central China Normal University, Wuhan, Hubei 430079
M. Daugherity
Abilene Christian University, Abilene, Texas 79699
T. G. Dedovich
Joint Institute for Nuclear Research, Dubna 141 980, Russia
I. M. Deppner
University of Heidelberg, Heidelberg 69120, Germany
A. A. Derevschikov
NRC ”Kurchatov Institute”, Institute of High Energy Physics, Protvino 142281, Russia
L. Didenko
Brookhaven National Laboratory, Upton, New York 11973
X. Dong
Lawrence Berkeley National Laboratory, Berkeley, California 94720
J. L. Drachenberg
Abilene Christian University, Abilene, Texas 79699
J. C. Dunlop
Brookhaven National Laboratory, Upton, New York 11973
T. Edmonds
Purdue University, West Lafayette, Indiana 47907
N. Elsey
Wayne State University, Detroit, Michigan 48201
J. Engelage
University of California, Berkeley, California 94720
G. Eppley
Rice University, Houston, Texas 77251
R. Esha
State University of New York, Stony Brook, New York 11794
S. Esumi
University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
O. Evdokimov
University of Illinois at Chicago, Chicago, Illinois 60607
J. Ewigleben
Lehigh University, Bethlehem, Pennsylvania 18015
O. Eyser
Brookhaven National Laboratory, Upton, New York 11973
R. Fatemi
University of Kentucky, Lexington, Kentucky 40506-0055
S. Fazio
Brookhaven National Laboratory, Upton, New York 11973
P. Federic
Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
J. Fedorisin
Joint Institute for Nuclear Research, Dubna 141 980, Russia
C. J. Feng
National Cheng Kung University, Tainan 70101
Y. Feng
Purdue University, West Lafayette, Indiana 47907
P. Filip
Joint Institute for Nuclear Research, Dubna 141 980, Russia
E. Finch
Southern Connecticut State University, New Haven, Connecticut 06515
Y. Fisyak
Brookhaven National Laboratory, Upton, New York 11973
A. Francisco
Yale University, New Haven, Connecticut 06520
L. Fulek
AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
C. A. Gagliardi
Texas A&M University, College Station, Texas 77843
T. Galatyuk
Technische Universität Darmstadt, Darmstadt 64289, Germany
F. Geurts
Rice University, Houston, Texas 77251
A. Gibson
Valparaiso University, Valparaiso, Indiana 46383
K. Gopal
Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
D. Grosnick
Valparaiso University, Valparaiso, Indiana 46383
W. Guryn
Brookhaven National Laboratory, Upton, New York 11973
A. I. Hamad
Kent State University, Kent, Ohio 44242
A. Hamed
American University of Cairo, New Cairo 11835, New Cairo, Egypt
J. W. Harris
Yale University, New Haven, Connecticut 06520
W. He
Fudan University, Shanghai, 200433
X. He
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
S. Heppelmann
University of California, Davis, California 95616
S. Heppelmann
Pennsylvania State University, University Park, Pennsylvania 16802
N. Herrmann
University of Heidelberg, Heidelberg 69120, Germany
E. Hoffman
University of Houston, Houston, Texas 77204
L. Holub
Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
Y. Hong
Lawrence Berkeley National Laboratory, Berkeley, California 94720
S. Horvat
Yale University, New Haven, Connecticut 06520
Y. Hu
Fudan University, Shanghai, 200433
B. Huang
University of Illinois at Chicago, Chicago, Illinois 60607
H. Z. Huang
University of California, Los Angeles, California 90095
S. L. Huang
State University of New York, Stony Brook, New York 11794
T. Huang
National Cheng Kung University, Tainan 70101
X. Huang
Tsinghua University, Beijing 100084
T. J. Humanic
Ohio State University, Columbus, Ohio 43210
P. Huo
State University of New York, Stony Brook, New York 11794
G. Igo
University of California, Los Angeles, California 90095
D. Isenhower
Abilene Christian University, Abilene, Texas 79699
W. W. Jacobs
Indiana University, Bloomington, Indiana 47408
C. Jena
Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
A. Jentsch
Brookhaven National Laboratory, Upton, New York 11973
Y. JI
University of Science and Technology of China, Hefei, Anhui 230026
J. Jia
Brookhaven National Laboratory, Upton, New York 11973
State University of New York, Stony Brook, New York 11794
K. Jiang
University of Science and Technology of China, Hefei, Anhui 230026
S. Jowzaee
Wayne State University, Detroit, Michigan 48201
X. Ju
University of Science and Technology of China, Hefei, Anhui 230026
E. G. Judd
University of California, Berkeley, California 94720
S. Kabana
Kent State University, Kent, Ohio 44242
M. L. Kabir
University of California, Riverside, California 92521
S. Kagamaster
Lehigh University, Bethlehem, Pennsylvania 18015
D. Kalinkin
Indiana University, Bloomington, Indiana 47408
K. Kang
Tsinghua University, Beijing 100084
D. Kapukchyan
University of California, Riverside, California 92521
K. Kauder
Brookhaven National Laboratory, Upton, New York 11973
H. W. Ke
Brookhaven National Laboratory, Upton, New York 11973
D. Keane
Kent State University, Kent, Ohio 44242
A. Kechechyan
Joint Institute for Nuclear Research, Dubna 141 980, Russia
M. Kelsey
Lawrence Berkeley National Laboratory, Berkeley, California 94720
Y. V. Khyzhniak
National Research Nuclear University MEPhI, Moscow 115409, Russia
D. P. Kikoła
Warsaw University of Technology, Warsaw 00-661, Poland
C. Kim
University of California, Riverside, California 92521
D. Kincses
ELTE Eötvös Loránd University, Budapest, Hungary H-1117
T. A. Kinghorn
University of California, Davis, California 95616
I. Kisel
Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
A. Kiselev
Brookhaven National Laboratory, Upton, New York 11973
A. Kisiel
Warsaw University of Technology, Warsaw 00-661, Poland
M. Kocan
Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
L. Kochenda
National Research Nuclear University MEPhI, Moscow 115409, Russia
L. K. Kosarzewski
Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
L. Kramarik
Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
P. Kravtsov
National Research Nuclear University MEPhI, Moscow 115409, Russia
K. Krueger
Argonne National Laboratory, Argonne, Illinois 60439
N. Kulathunga Mudiyanselage
University of Houston, Houston, Texas 77204
L. Kumar
Panjab University, Chandigarh 160014, India
R. Kunnawalkam Elayavalli
Wayne State University, Detroit, Michigan 48201
J. H. Kwasizur
Indiana University, Bloomington, Indiana 47408
R. Lacey
State University of New York, Stony Brook, New York 11794
S. Lan
Central China Normal University, Wuhan, Hubei 430079
J. M. Landgraf
Brookhaven National Laboratory, Upton, New York 11973
J. Lauret
Brookhaven National Laboratory, Upton, New York 11973
A. Lebedev
Brookhaven National Laboratory, Upton, New York 11973
R. Lednicky
Joint Institute for Nuclear Research, Dubna 141 980, Russia
J. H. Lee
Brookhaven National Laboratory, Upton, New York 11973
Y. H. Leung
Lawrence Berkeley National Laboratory, Berkeley, California 94720
C. Li
University of Science and Technology of China, Hefei, Anhui 230026
W. Li
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
W. Li
Rice University, Houston, Texas 77251
X. Li
University of Science and Technology of China, Hefei, Anhui 230026
Y. Li
Tsinghua University, Beijing 100084
Y. Liang
Kent State University, Kent, Ohio 44242
R. Licenik
Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
T. Lin
Texas A&M University, College Station, Texas 77843
Y. Lin
Central China Normal University, Wuhan, Hubei 430079
M. A. Lisa
Ohio State University, Columbus, Ohio 43210
F. Liu
Central China Normal University, Wuhan, Hubei 430079
H. Liu
Indiana University, Bloomington, Indiana 47408
P. Liu
State University of New York, Stony Brook, New York 11794
P. Liu
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
T. Liu
Yale University, New Haven, Connecticut 06520
X. Liu
Ohio State University, Columbus, Ohio 43210
Y. Liu
Texas A&M University, College Station, Texas 77843
Z. Liu
University of Science and Technology of China, Hefei, Anhui 230026
T. Ljubicic
Brookhaven National Laboratory, Upton, New York 11973
W. J. Llope
Wayne State University, Detroit, Michigan 48201
M. Lomnitz
Lawrence Berkeley National Laboratory, Berkeley, California 94720
R. S. Longacre
Brookhaven National Laboratory, Upton, New York 11973
N. S. Lukow
Temple University, Philadelphia, Pennsylvania 19122
S. Luo
University of Illinois at Chicago, Chicago, Illinois 60607
X. Luo
Central China Normal University, Wuhan, Hubei 430079
G. L. Ma
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
L. Ma
Fudan University, Shanghai, 200433
R. Ma
Brookhaven National Laboratory, Upton, New York 11973
Y. G. Ma
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
N. Magdy
University of Illinois at Chicago, Chicago, Illinois 60607
R. Majka
Yale University, New Haven, Connecticut 06520
D. Mallick
National Institute of Science Education and Research, HBNI, Jatni 752050, India
S. Margetis
Kent State University, Kent, Ohio 44242
C. Markert
University of Texas, Austin, Texas 78712
H. S. Matis
Lawrence Berkeley National Laboratory, Berkeley, California 94720
O. Matonoha
Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
J. A. Mazer
Rutgers University, Piscataway, New Jersey 08854
K. Meehan
University of California, Davis, California 95616
J. C. Mei
Shandong University, Qingdao, Shandong 266237
N. G. Minaev
NRC ”Kurchatov Institute”, Institute of High Energy Physics, Protvino 142281, Russia
S. Mioduszewski
Texas A&M University, College Station, Texas 77843
B. Mohanty
National Institute of Science Education and Research, HBNI, Jatni 752050, India
M. M. Mondal
National Institute of Science Education and Research, HBNI, Jatni 752050, India
I. Mooney
Wayne State University, Detroit, Michigan 48201
Z. Moravcova
Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
D. A. Morozov
NRC ”Kurchatov Institute”, Institute of High Energy Physics, Protvino 142281, Russia
M. Nagy
ELTE Eötvös Loránd University, Budapest, Hungary H-1117
J. D. Nam
Temple University, Philadelphia, Pennsylvania 19122
Md. Nasim
Indian Institute of Science Education and Research (IISER), Berhampur 760010 , India
K. Nayak
Central China Normal University, Wuhan, Hubei 430079
D. Neff
University of California, Los Angeles, California 90095
J. M. Nelson
University of California, Berkeley, California 94720
D. B. Nemes
Yale University, New Haven, Connecticut 06520
M. Nie
Shandong University, Qingdao, Shandong 266237
G. Nigmatkulov
National Research Nuclear University MEPhI, Moscow 115409, Russia
T. Niida
Wayne State University, Detroit, Michigan 48201
L. V. Nogach
NRC ”Kurchatov Institute”, Institute of High Energy Physics, Protvino 142281, Russia
T. Nonaka
Central China Normal University, Wuhan, Hubei 430079
G. Odyniec
Lawrence Berkeley National Laboratory, Berkeley, California 94720
A. Ogawa
Brookhaven National Laboratory, Upton, New York 11973
S. Oh
Yale University, New Haven, Connecticut 06520
V. A. Okorokov
National Research Nuclear University MEPhI, Moscow 115409, Russia
B. S. Page
Brookhaven National Laboratory, Upton, New York 11973
R. Pak
Brookhaven National Laboratory, Upton, New York 11973
A. Pandav
National Institute of Science Education and Research, HBNI, Jatni 752050, India
Y. Panebratsev
Joint Institute for Nuclear Research, Dubna 141 980, Russia
B. Pawlik
AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
D. Pawlowska
Warsaw University of Technology, Warsaw 00-661, Poland
H. Pei
Central China Normal University, Wuhan, Hubei 430079
C. Perkins
University of California, Berkeley, California 94720
L. Pinsky
University of Houston, Houston, Texas 77204
R. L. Pintér
ELTE Eötvös Loránd University, Budapest, Hungary H-1117
J. Pluta
Warsaw University of Technology, Warsaw 00-661, Poland
J. Porter
Lawrence Berkeley National Laboratory, Berkeley, California 94720
M. Posik
Temple University, Philadelphia, Pennsylvania 19122
N. K. Pruthi
Panjab University, Chandigarh 160014, India
M. Przybycien
AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
J. Putschke
Wayne State University, Detroit, Michigan 48201
H. Qiu
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
A. Quintero
Temple University, Philadelphia, Pennsylvania 19122
S. K. Radhakrishnan
Kent State University, Kent, Ohio 44242
S. Ramachandran
University of Kentucky, Lexington, Kentucky 40506-0055
R. L. Ray
University of Texas, Austin, Texas 78712
R. Reed
Lehigh University, Bethlehem, Pennsylvania 18015
H. G. Ritter
Lawrence Berkeley National Laboratory, Berkeley, California 94720
J. B. Roberts
Rice University, Houston, Texas 77251
O. V. Rogachevskiy
Joint Institute for Nuclear Research, Dubna 141 980, Russia
J. L. Romero
University of California, Davis, California 95616
L. Ruan
Brookhaven National Laboratory, Upton, New York 11973
J. Rusnak
Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
O. Rusnakova
Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
N. R. Sahoo
Shandong University, Qingdao, Shandong 266237
H. Sako
University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
S. Salur
Rutgers University, Piscataway, New Jersey 08854
J. Sandweiss
Yale University, New Haven, Connecticut 06520
S. Sato
University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
W. B. Schmidke
Brookhaven National Laboratory, Upton, New York 11973
N. Schmitz
Max-Planck-Institut für Physik, Munich 80805, Germany
B. R. Schweid
State University of New York, Stony Brook, New York 11794
F. Seck
Technische Universität Darmstadt, Darmstadt 64289, Germany
J. Seger
Creighton University, Omaha, Nebraska 68178
M. Sergeeva
University of California, Los Angeles, California 90095
R. Seto
University of California, Riverside, California 92521
P. Seyboth
Max-Planck-Institut für Physik, Munich 80805, Germany
N. Shah
Indian Institute Technology, Patna, Bihar 801106, India
E. Shahaliev
Joint Institute for Nuclear Research, Dubna 141 980, Russia
P. V. Shanmuganathan
Brookhaven National Laboratory, Upton, New York 11973
M. Shao
University of Science and Technology of China, Hefei, Anhui 230026
F. Shen
Shandong University, Qingdao, Shandong 266237
W. Q. Shen
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
S. S. Shi
Central China Normal University, Wuhan, Hubei 430079
Q. Y. Shou
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
E. P. Sichtermann
Lawrence Berkeley National Laboratory, Berkeley, California 94720
R. Sikora
AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
M. Simko
Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
J. Singh
Panjab University, Chandigarh 160014, India
S. Singha
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
N. Smirnov
Yale University, New Haven, Connecticut 06520
W. Solyst
Indiana University, Bloomington, Indiana 47408
P. Sorensen
Brookhaven National Laboratory, Upton, New York 11973
H. M. Spinka
Argonne National Laboratory, Argonne, Illinois 60439
B. Srivastava
Purdue University, West Lafayette, Indiana 47907
T. D. S. Stanislaus
Valparaiso University, Valparaiso, Indiana 46383
M. Stefaniak
Warsaw University of Technology, Warsaw 00-661, Poland
D. J. Stewart
Yale University, New Haven, Connecticut 06520
M. Strikhanov
National Research Nuclear University MEPhI, Moscow 115409, Russia
B. Stringfellow
Purdue University, West Lafayette, Indiana 47907
A. A. P. Suaide
Universidade de São Paulo, São Paulo, Brazil 05314-970
M. Sumbera
Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
B. Summa
Pennsylvania State University, University Park, Pennsylvania 16802
X. M. Sun
Central China Normal University, Wuhan, Hubei 430079
Y. Sun
University of Science and Technology of China, Hefei, Anhui 230026
Y. Sun
Huzhou University, Huzhou, Zhejiang 313000
B. Surrow
Temple University, Philadelphia, Pennsylvania 19122
D. N. Svirida
Alikhanov Institute for Theoretical and Experimental Physics NRC ”Kurchatov Institute”, Moscow 117218, Russia
P. Szymanski
Warsaw University of Technology, Warsaw 00-661, Poland
A. H. Tang
Brookhaven National Laboratory, Upton, New York 11973
Z. Tang
University of Science and Technology of China, Hefei, Anhui 230026
A. Taranenko
National Research Nuclear University MEPhI, Moscow 115409, Russia
T. Tarnowsky
Michigan State University, East Lansing, Michigan 48824
J. H. Thomas
Lawrence Berkeley National Laboratory, Berkeley, California 94720
A. R. Timmins
University of Houston, Houston, Texas 77204
D. Tlusty
Creighton University, Omaha, Nebraska 68178
M. Tokarev
Joint Institute for Nuclear Research, Dubna 141 980, Russia
C. A. Tomkiel
Lehigh University, Bethlehem, Pennsylvania 18015
S. Trentalange
University of California, Los Angeles, California 90095
R. E. Tribble
Texas A&M University, College Station, Texas 77843
P. Tribedy
Brookhaven National Laboratory, Upton, New York 11973
S. K. Tripathy
ELTE Eötvös Loránd University, Budapest, Hungary H-1117
O. D. Tsai
University of California, Los Angeles, California 90095
Z. Tu
Brookhaven National Laboratory, Upton, New York 11973
T. Ullrich
Brookhaven National Laboratory, Upton, New York 11973
D. G. Underwood
Argonne National Laboratory, Argonne, Illinois 60439
I. Upsal
Shandong University, Qingdao, Shandong 266237
Brookhaven National Laboratory, Upton, New York 11973
G. Van Buren
Brookhaven National Laboratory, Upton, New York 11973
J. Vanek
Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
A. N. Vasiliev
NRC ”Kurchatov Institute”, Institute of High Energy Physics, Protvino 142281, Russia
I. Vassiliev
Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
F. Videbæk
Brookhaven National Laboratory, Upton, New York 11973
S. Vokal
Joint Institute for Nuclear Research, Dubna 141 980, Russia
S. A. Voloshin
Wayne State University, Detroit, Michigan 48201
F. Wang
Purdue University, West Lafayette, Indiana 47907
G. Wang
University of California, Los Angeles, California 90095
J. S. Wang
Huzhou University, Huzhou, Zhejiang 313000
P. Wang
University of Science and Technology of China, Hefei, Anhui 230026
Y. Wang
Central China Normal University, Wuhan, Hubei 430079
Y. Wang
Tsinghua University, Beijing 100084
Z. Wang
Shandong University, Qingdao, Shandong 266237
J. C. Webb
Brookhaven National Laboratory, Upton, New York 11973
P. C. Weidenkaff
University of Heidelberg, Heidelberg 69120, Germany
L. Wen
University of California, Los Angeles, California 90095
G. D. Westfall
Michigan State University, East Lansing, Michigan 48824
H. Wieman
Lawrence Berkeley National Laboratory, Berkeley, California 94720
S. W. Wissink
Indiana University, Bloomington, Indiana 47408
R. Witt
United States Naval Academy, Annapolis, Maryland 21402
Y. Wu
University of California, Riverside, California 92521
Z. G. Xiao
Tsinghua University, Beijing 100084
G. Xie
Lawrence Berkeley National Laboratory, Berkeley, California 94720
W. Xie
Purdue University, West Lafayette, Indiana 47907
H. Xu
Huzhou University, Huzhou, Zhejiang 313000
N. Xu
Lawrence Berkeley National Laboratory, Berkeley, California 94720
Q. H. Xu
Shandong University, Qingdao, Shandong 266237
Y. F. Xu
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
Y. Xu
Shandong University, Qingdao, Shandong 266237
Z. Xu
Brookhaven National Laboratory, Upton, New York 11973
Z. Xu
University of California, Los Angeles, California 90095
C. Yang
Shandong University, Qingdao, Shandong 266237
Q. Yang
Shandong University, Qingdao, Shandong 266237
S. Yang
Brookhaven National Laboratory, Upton, New York 11973
Y. Yang
National Cheng Kung University, Tainan 70101
Z. Yang
Central China Normal University, Wuhan, Hubei 430079
Z. Ye
Rice University, Houston, Texas 77251
Z. Ye
University of Illinois at Chicago, Chicago, Illinois 60607
L. Yi
Shandong University, Qingdao, Shandong 266237
K. Yip
Brookhaven National Laboratory, Upton, New York 11973
H. Zbroszczyk
Warsaw University of Technology, Warsaw 00-661, Poland
W. Zha
University of Science and Technology of China, Hefei, Anhui 230026
D. Zhang
Central China Normal University, Wuhan, Hubei 430079
S. Zhang
University of Science and Technology of China, Hefei, Anhui 230026
S. Zhang
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
X. P. Zhang
Tsinghua University, Beijing 100084
Y. Zhang
University of Science and Technology of China, Hefei, Anhui 230026
Z. J. Zhang
National Cheng Kung University, Tainan 70101
Z. Zhang
Brookhaven National Laboratory, Upton, New York 11973
J. Zhao
Purdue University, West Lafayette, Indiana 47907
C. Zhong
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
C. Zhou
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
X. Zhu
Tsinghua University, Beijing 100084
Z. Zhu
Shandong University, Qingdao, Shandong 266237
M. Zurek
Lawrence Berkeley National Laboratory, Berkeley, California 94720
M. Zyzak
Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
Abstract
The two-particle angular correlation functions, , of pions, kaons, and protons in Au+Au collisions at 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4, and 200 GeV were measured by the STAR experiment at RHIC. These correlations were measured for both like-sign and unlike-sign charge combinations and versus the centrality. The correlations of pions and kaons show the expected near-side (i.e., at small relative angles) peak resulting from short-range mechanisms. The amplitudes of these short-range correlations decrease with increasing beam energy. However, the proton correlation functions exhibit strong anticorrelations in the near-side region. This behavior is observed for the first time in an A+A collision system. The observed anticorrelation is -independent and decreases with increasing beam energy and centrality. The experimental results are also compared to the Monte Carlo models UrQMD, Hijing, and AMPT.
pacs:
25.75.-q, 25.75.Gz
I Introduction
The study of single-particle observables provides information on the bulk properties of the hot nuclear systems formed in relativistic heavy-ion collisions. A more differential view, first employed to understand the systems produced at the ISR in the 1970’s Foá (1975); De Wolf et al. (1996); Eggert et al. (1975); Ansorge et al. (1988), involves the use of two-particle correlators. Here, one measures the rates for all pairs of particles in single events versus kinematic observables in two dimensions, e.g., the relative rapidity and azimuthal angle, , of the two particles in each pair. These distributions can then be normalized by the distributions formed once the intraevent correlations have been explicitly broken. This normalization also removes any contributions to the correlators from all single-particle inefficiencies in the experimental measurement. The resulting ratio, called , then depicts excesses or deficits with respect to unity that directly indicate correlations or anticorrelations, respectively. Parton fragmentation, resonance decays, and femtoscopic correlations, typically referred to as “short-range” correlations, are localized to a narrow region near Connors et al. (2018); Lisa et al. (2005). Other phenomena are longer range, such as elliptic flow, which appear as a cosine function of the relative azimuthal angle Aad et al. (2012). Global momentum conservation can result in a back-to-back correlation between the produced particles, which is reflected as a negative cosine function of Borghini et al. (2002, 2000); Aad et al. (2012). Non-zero integrals of the two-particle correlation functions result in multiplicity distributions with variances that are not equal to the mean values, as would be expected for purely Poisson fluctuations. As the variance of the multiplicity distributions goes like the square of the correlation length Hatta and Stephanov (2003), the two-particle correlation functions thus provide a more differential view of effects which may potentially result from the proximity of a critical point Hatta and Stephanov (2003); Stephanov et al. (1998, 1999); Stephanov (2002); Antoniou et al. (2001); Koch et al. (2002); Pruneau et al. (2002). Such a critical point would be expected to mark the end of the first-order phase transition line separating hadronic and partonic matter. The expected critical point signal is thus a nonmonotonic dependence of the fluctuations and correlations on the beam energy. Therefore, multiparticle correlations, and their integrals the fluctuations, deserve careful study.
In this paper, the two-particle correlations are studied for like-sign and unlike-sign identified pions, kaons, and protons in Au+Au collisions measured by the STAR experiment during the Beam Energy Scan (BES) program at RHIC. The angular correlation functions are presented at eight different beam energies ranging from 7.7 to 200 GeV and at three selected centralities, the most central 0%-5%, 30%-40%, and peripheral 60%-70%. Two ranges of low and high transverse momentum are also compared. The study of the different particle species pairs allows one to compare the meson ( and K) and baryon (p) correlations. The beam energy dependence spans nearly baryon-free matter at the highest energy to increasingly baryon-doped matter as the beam energy is decreased. The experimental results are also compared to those from the models UrQMD Bass et al. (1998), Hijing Wang and Gyulassy (1991), and AMPT Lin et al. (2005), each of which produces events based on different theoretical approaches.
This paper is organized as follows: the STAR detector and other experimental details are described in Section II; the two-particle angular correlation function results are presented in Section III. Finally, the summary and conclusions are presented in Section IV.
II Experimental details
The Solenoidal Tracker at RHIC (STAR) is an azimuthally-symmetric and wide acceptance detector. The key subdetectors used here include the Time Projection Chamber (TPC) Anderson et al. (2003), which performs the track and primary vertex reconstruction, as well as particle identification at low momentum, and the Time-of-Flight system (TOF) Llope (2012), which provides particle identification information at higher momentum. A solenoidal magnet aligned with the beam axis provides a uniform magnetic field of 0.5 T for charged particle momentum analysis Green (1993).
The data studied here were collected in the years 2010, 2011, and 2014, and include the eight beam energies of 7.7, 11.5, 14.5, 19.6, 27, 39, 62.4, and 200 GeV. These data were collected with a minimum bias trigger based on the information from the Vertex Position Detector (VPD) Llope et al. (2014), Beam-Beam Counters (BBC) and Zero Degree Calorimeter (ZDC) detectors Judd et al. (2018). The raw event totals and the year of data collection are shown in Table 1.
The collision vertex, determined using all charged tracks in each event, was required to be within 30 cm of the center of STAR along the beam direction at all eight beam energies. Pseudocorrelations caused by the event by event variation of the location of the primary vertex along the beam pipe, Zvtx, were removed by performing the analyses in 30 bins of Zvtx, each 2 cm wide. A weighted average of the correlation functions over these bins was then constructed, eliminating these pseudocorrelations Tarini (2011).
For the pion or kaon correlations, the centrality of the collisions was determined using the charged particle multiplicity distributions with pseudorapidities, , within the range and a Monte Carlo Glauber simulation as described, e.g., in Ref. Miller et al. (2007). For the proton correlations, the centrality was determined using the measured multiplicity of tracks, excluding protons, with . These same centrality definitions were used in the STAR papers on the multiplicity cumulants Aggarwal et al. (2010); Adamczyk et al. (2014, 2018). To avoid artifacts in the observables of interest caused by the above multiplicity binning on pseudorapidity, the correlation functions were studied only for pseudorapidities within the range .
The raw events collected by STAR were then pruned of data-taking runs in which the average values of a number of observables deviated by two standard deviations from their values over all events. Examples of the variables studied are the mean values of several different track or hit multiplicities, or the average values of track-based quantities such as the transverse momentum or azimuthal angle. About thirty such variables were studied in each run, and the most sensitive to “bad runs” were generally the number of primary reconstructed tracks per event, the number of tracks per event that matched to TOF hits, the east-west asymmetry in the track pseudorapidity, and the averages of the track transverse and total momentum. Once the bad runs were removed, multiple selection criteria on pairs of global observables were applied to remove bad events in good runs. These selection criteria were effective at removing collisions of gold nuclei with beam line materials (most importantly at the lowest beam energies) and collision pile-up in time in the TPC (most importantly at the highest beam energies). The tracks used in the correlations analyses were subject to quality cuts on the distance of closest approach to the primary vertex (maximum 2 cm), the number of TPC space points assigned to each track (minimum 18), and the ratio of assigned to total possible space points (minimum 52%).
The correlation functions were measured using like-sign (LS) and unlike-sign (US) pairs of pions, kaons, and protons, separately. The kinematic acceptance used for the different particle species is shown in Table 2. To identify the particles, the ionization energy loss, , measured by the TPC and the time of flight measured by the TOF detector was used. The selection was done within two standard deviations of each particle’s peak in the normalized ionization energy loss distributions. The TOF efficiency per TPC track is 60-70%. If the TOF information was available for a given TPC track, a cut was placed on the mass obtained from the track momentum and speed. If a particular track did not have TOF information, additional exclusionary cuts on nearby particle species were applied at low momenta.
By definition, the correlation functions, , are insensitive to single-particle experimental inefficiencies caused, for example, by gaps in the detector. However, “track crossing,” a true two-particle inefficiency, remains. The track reconstruction algorithm used in STAR does not share space points between two nearby tracks. The imposition of even minimal quality cuts on the number of space points assigned to a reconstructed track thus causes one of the tracks in the pair to have fewer space points and thus a slightly lower efficiency. This relative inefficiency for finding a track because of the existence of another nearby creates a “near-side,” , hole in the correlation functions. This was avoided in the present analysis by -ordering the particles in each pair to constrain the track crossing inefficiency to a smaller region, then reflecting the unaffected bins across to form the correlation functions devoid of track crossing Tarini (2011). The affected regions for each particle species are summarized in Table 3. Additional systematic uncertainties result from the specific treatment of the track crossing inefficiency and these can be seen in the results below for the few bins very close to .
II.1 Two-particle angular correlation functions
The correlation function is defined as the ratio of the two-particle density distributions and the product, or convolution, of the single-particle densities. This division normalizes the correlations as “per pair,” and makes them insensitive to single-particle reconstruction and acceptance inefficiencies Foá (1975); Pruneau et al. (2002); Ravan et al. (2014). The normalized “angular correlations,” , are formed as a function of the relative rapidity and azimuthal angle of the two particles in the pair, , and are given by Foá (1975); De Wolf et al. (1996); Pruneau et al. (2002); Kittel (2005, 2001); Ravan et al. (2014):
[TABLE]
where , , and and are the two-particle and single-particle multiplicity density distributions, respectively, normalized to the number of events.
The numerator of the correlation functions for particles is calculated using all pairs in each event except self-pairs. Several methods are available to calculate the denominator. These include pulling particles of interest from two different but similar events, which is called “mixing,” and convolution. In convolution, a single-particle spectrum versus is folded with itself in six nested loops to produce the denominator versus the pair . This six-dimension convolution allows one to impose the same cut (see previous section) in the denominator as was used in the numerator to remove the two-particle inefficiency from track crossing. The results from the two methods to form the denominator, mixing and convolution, were found to be in excellent agreement.
The amplitudes of such correlation functions often decrease with increasing beam energy and/or centrality as a result of the increasing number of particle-emitting sources for higher-energy (and/or more central) collisions. One may thus consider scaling the correlators with some multiplicity such as the number of participants or binary collisions to account for such dilution. The correlators shown here do not include such an additional scaling.
In the present analysis, the numerator and denominator of the correlation functions were further normalized to the event-averaged number of pairs Foá (1975) via,
[TABLE]
where is the event-by-event multiplicity of the indistinguishable particle of interest in a given centrality and Zvtx bin. If the particles in the pair are distinguishable, this prefactor becomes , where and are the event-wise multiplicities of the distinguishable particles of interest. This normalization removes purely mathematical finite-multiplicity offsets to the correlation functions and thus ensures that the values of are identically zero in the absence of any two-particle (anti)correlations even at low multiplicities of the particle of interest in each event.
II.2 Systematic uncertainty
To estimate the systematic uncertainties, the track selection and particle identification criteria were modified within reasonable ranges, and the full analysis was repeated for each cuts set. The systematic uncertainties for the track selection and particle identification were separately studied. The standard deviation of the results when using the default cut was calculated for each set and the systematic uncertainty was determined as the root of the quadratic sum of the different systematic sources.
The main source of systematic uncertainty for the pion results was the cut on the distance of closest approach to the primary vertex. For the kaon and proton results, the particle identification cuts resulted in the largest contributions in the systematic uncertainties. The absolute uncertainties of the main systematic source averaged over at 62.4 GeV, 30%-40% centrality, were found to be for like-sign and unlike-sign pions, for like-sign kaons and protons, and lower than for unlike-sign kaons and protons. The systematic uncertainties at 14.5 GeV, and 30%-40% centrality, are similar, although they increase to for like-sign kaons, and for unlike-sign kaons and protons. The final source of systematic uncertainty results from the necessary correction for the track crossing pair inefficiency. This contribution can be larger than the other systematics but only for the few bins near , as will be seen in the results presented below.
III Results
The angular correlation functions for like-sign and unlike-sign identified mesons and protons are shown in Fig. 1 and 2, respectively, for the eight different energies and for 30%-40% mid-central collisions. The kaon correlations are shown in Fig. 3 at 200 GeV and 30%-40% centrality. The kaon correlations at lower energies are similar, but become increasingly noisy due to the weakening production of kaons (and the fewer number of experimental events) as the energy is decreased.
The like-sign correlations for pions and kaons are the average of the like-sign positive and like-sign negative correlation functions. For protons, the like-sign positive and like-sign negative are separately studied. The like-sign antiproton correlation functions are statistically significant only at the highest beam energies.
The correlation functions shown in Figs. 1-3 reflect the different physical mechanisms occurring in Au+Au collisions at 30%-40% centrality. Energy-momentum conservation and dijet fragmentation generally contribute to produce the away-side ridge at , and collective elliptic flow is responsible for the double ridge structure at and . These general features depend weakly on the beam energy for both the like-sign and unlike-sign charge combinations. The correlations of pions and kaons exhibit a peak at that would typically be associated with the short-range mechanisms of minijet string breaking, femtoscopic correlations, and resonance decay. Femtoscopic correlations include quantum-statistical effects, Coulomb, and strong interactions and can be positive or negative.
The strong near side peaks in the like-sign two-pion correlations shown in Fig. 1 ( GeV/) are predominantly femtoscopic in nature. These peaks can be cleanly excised by removing the (very small) fraction of pairs with MeV/, where is the modulus of the energy-momentum four-vector difference of the two particles in each pair. Such a cut has very little effect on the unlike-sign pion correlations because quantum-statistical effects do not occur for distinguishable particles.
The near-side peak in the unlike-sign kaon correlations is wider in compared to the like-sign kaons in Fig. 3. This near-side correlation in unlike-sign kaons is in the shape of a caldera centered at which results from K*+K-* pairs that are the daughters of (1020) mesons Patrignani et al. (2016); Abelev et al. (2009).
The proton correlation functions are qualitatively similar to those for pions and kaons on the away side in . However, a significant difference is observed on the near side, . The values of the like-sign proton correlation functions show a wide suppression on the near side. Upon this wide anticorrelation may sit a narrow peak at .
For the unlike-sign proton pairs, a prominent near-side ridge along the axis is observed for the larger values of . At smaller values of , a clear anticorrelation with respect to this ridge is observed. This anticorrelation in unlike-sign proton pairs near is narrower in than the near-side anticorrelation observed for the like-sign proton pairs.
The projections of the angular correlation functions onto the axis (integrated over all azimuthal angles) for like-sign and unlike-sign pion and proton pairs in 30%-40% central collisions are shown in Fig. 4. The proton pair correlations and pion pair correlations differ significantly at all eight energies and for both like-sign and unlike-sign combinations. The pion correlations show an enhancement around which decreases slightly with increasing beam energy.
In contrast, both the like-sign and unlike-sign proton correlations show an anticorrelation near at all eight energies. These anticorrelations are remarkably weakly-dependent on the beam energy. The values of the correlation functions near for the like-sign (red) and unlike-sign (blue) pairs are comparable at all eight energies. At larger values of the rapidity difference, the like-sign proton correlations continue to rise roughly linearly, while the values for unlike-sign pairs level off to form the near-side ridge seen in Fig. 2.
Also shown on the lower right in this figure are the like-sign antiproton correlation functions (green) at the two highest beam energies. Lower beam energies result in considerably fewer antiprotons, and thus much more uncertain correlation functions, so the like-sign antiproton results are not shown for clarity. The like-sign antiproton correlations are consistent with those for like-sign protons.
The projection of into , averaged over (a “near-side projection”) or averaged over (an “away-side projection”) is shown in Fig. 5 for the like-sign and unlike-sign pion and proton pairs at 14.5 and 62.4 GeV in 30%-40% central collisions. The away-side projections of the pion and proton correlations are roughly flat versus the rapidity difference as seen in the two right frames of Figs. 5a and 5b. There is a slight suppression on the away-side for the like-sign protons due to the wider near-side anticorrelation in (compared to that for the the unlike-sign pairs) which was shown in Fig. 2. The correlations of the like-sign pions and protons (red) are larger than those for the unlike-sign pairs (blue) on the away-side.
The dependence of the correlations on the near-side explored in Fig. 4 come into better focus when requiring each pair is also on the near-side azimuthally, and are shown in Fig. 5. Here, the correlations of the unlike-sign pions is larger than those for like-sign pairs, which is opposite to the behavior observed on the away-side. The near-side proton correlations shown in Fig. 5b indicate an anticorrelation in both the like-sign and unlike-sign charge combinations. Here it is again seen, as in Fig. 2, that the unlike-sign proton anticorrelation is much narrower in compared to that for the like-sign proton pairs.
The unlike-sign pion correlations shown in Fig. 5a are much wider on the near side (left frames) in than those for the like-sign pion pairs. This is presumably due to local charge conservation in unlike-sign pairs Bozek and Broniowski (2012). The effects of local charge conservation on the proton correlations is less clear, but the difference of the unlike-sign and like-sign correlation functions are similar for both pions and protons at the larger values of . Therefore, local charge conservation may contribute to the faster rise in the unlike-sign proton correlations compared to the like-sign pairs.
The measured pion and proton correlation functions were compared to those obtained using the events generated by several model event generators. The analysis was done for simulated events using UrQMD v3.4 Bass et al. (1998), Hijing v1.411 Wang and Gyulassy (1991), and AMPT v2.26t7b Lin et al. (2005). The UrQMD model is based on the covariant propagation of color strings, constituent quarks, and diquarks accompanied by mesonic and baryonic degrees of freedom. It simulates multiple interactions of ingoing and newly produced particles, the excitation and fragmentation of color strings, and the formation and decay of hadronic resonances Bass et al. (1998). The Hijing model is used to study jet and multiparticle production in high energy p+p, p+A, and A+A collisions at RHIC and LHC energies. The model includes multiple minijet production, nuclear shadowing of the parton distribution functions, and a schematic mechanism of jet interactions in dense matter, which contains many sources of long and short-range correlations Wang and Gyulassy (1991). A “multi-phase transport model,” (AMPT) uses the Hijing model for generating the initial conditions, then models the partonic scattering, string fragmentation using the Lund model, hadronization via quark coalescence, and finally hadronic rescattering Lin et al. (2005).
Approximately 30M minimum bias events were generated using the default parameters for each model. Additional model data sets of the same significance were also generated following the modification of specific model parameters in order to further explore specific topics. The centrality of the model events was determined by integrating the minimum bias distributions of the charged particle multiplicities calculated with the same kinematic cuts as were used for the analysis of the experimental data.
Figure 6 depicts the comparison of the experimental and model results for like-sign and unlike-sign pions and protons at 14.5 GeV and 62.4 GeV in 30%-40% mid-central collisions. None of the three models describes the observed pion correlations at small values of the rapidity difference, . As described above, this strong short range peak in the like sign correlations appears to be predominantly femtoscopic in origin as it can be removed by removing pairs with MeV/. This can be expected as the models generally make no attempt to describe femtoscopy in their default configurations. However, the disagreement between the data and models for the unlike-sign pion short-range correlations cannot be explained by femtoscopy as the same cut does not remove the short-range correlation, and the particles in the pair are distinguishable.
The UrQMD and Hijing models were more successful than AMPT in reproducing the correlations of unlike-sign pions at larger values of . This may be the result of a stricter local charge conservation in UrQMD and Hijing compared to AMPT Pan et al. (2014).
For the proton correlations, Hijing does not describe the data, while UrQMD and AMPT qualitatively predict a small suppression near of like-sign and unlike-sign protons, respectively, but do not reproduce the observed correlations at larger values of . The AMPT model can reproduce the observed anticorrelations for like-sign protons (but fails for unlike-sign protons), while the UrQMD model can describe the unlike-sign protons (but fails for like-sign protons).
Also shown in Fig. 6 are the results from UrQMD when baryon annihilation is turned off via a user parameter111UrQMD “CTOption(19)” was changed from zero to one. . The unlike-sign proton correlations in these events now no longer reproduce those seen in the data near , and in fact they look quite similar to those obtained from Hijing and AMPT. This suggests that the anticorrelation in unlike-sign proton pairs on the near side in and at short range in , best seen in the right frames of Fig. 2, results from baryon-antibaryon annihilation.
The anticorrelation in like-sign protons is broader and longer range. Similar two-proton anticorrelations (see also Ref. Bhattarai (2016)) were reported in the small collision system of e*++e-* annihilation at GeV by the TPC/Two-Gamma Collaboration Aihara et al. (1986), and in p+p collisions at TeV by the ALICE Collaboration Adam et al. (2017). We report this observation here for the first time in the large collision system of Au+Au. Although there is a qualitative similarity in the (anti)correlations of like-sign protons between the small and large systems, there is no such agreement for unlike-sign protons.
The observed proton anticorrelations in e*++e-* annihilation at GeV were suggested Aihara et al. (1986) to result from local baryon number conservation during the hadronization process and the “energy cost” required to produce two baryons during the fragmentation of a single string. According to the string hadronization model Andersson (1986), two baryons produced in a single fragmentation should be separated by at least one particle with a different baryon number Aihara et al. (1986); Adam et al. (2017). Furthermore, the probability of producing two baryons in a single fragmentation in low energies is suppressed, since a minimum of two baryons and two antibaryons would be required to produce two like-sign baryons while conserving baryon number. This explanation could be reasonable at the low beam energy of 29 GeV. However, such an energy constraint seems unlikely in the case of the p+p collisions at TeV measured by ALICE, which showed a similar near-side suppression. In the ALICE study Adam et al. (2017), the possibility that the like-sign proton correlations were suppressed on the near-side by Fermi-Dirac statistics was ruled out as the p+ correlators also showed the same anticorrelations. Other ideas like the effects of the momentum transfer during the interaction, Coulomb repulsion, local baryon number conservation, and energy conservation were also discussed in Ref. Adam et al. (2017), but none of these were seen as entirely successful in explaining their observed baryon anticorrelations.
The pion and proton correlations were studied in different centralities from the most central to the most peripheral collisions. The results of the most central 0%-5%, mid-central 30%-40%, and peripheral 60%-70% events in Au+Au collisions at the low energy of 14.5 GeV, and the higher energy of 62.4 GeV, are shown in Fig. 7. A strong centrality dependence is observed in the pion and proton correlations. In both cases, the (anti)correlations decrease, i.e., approaches zero from above or below, as the collisions become more central. This is consistent with the usual picture of the dilution of the correlations due to the increasing number of particle sources as the collisions become more central.
These correlations were also studied in two different transverse momentum ranges. The low- range for pions and protons was 0.2-0.6 GeV/ and 0.4-0.8 GeV/, respectively, while the high- range for pions and protons was 0.6-2.0 GeV/ and 0.8-2.0 GeV/, respectively. In Fig. 8, the pion and proton correlations in these two ranges are shown for 30%-40% mid-central collisions at 14.5 GeV and 62.4 GeV. The proton correlations show no significant dependence on the transverse momentum range for both the unlike- and like-sign charge combinations. There is a more significant dependence for the like-sign pion correlations at large , while the unlike-sign pions do not show a significant dependence.
The influence of femtoscopic correlations on the observed proton anticorrelations was also studied. A relative invariant momentum cut was set based on the values of the effective source size measured by STAR Siejka (2019); Adamczyk et al. (2015). This cut would be expected to suppress all femtoscopic contributions. The bins of the correlation function affected by such a cut is limited to the rather small region of . This is much narrower than the observed width of the observed proton anticorrelations.
IV Summary and Conclusions
The two-particle angular correlation functions were studied for like-sign and unlike-sign pion, kaon, and proton pairs in the Beam Energy Scan data collected by the STAR experiment. The energy, centrality, and dependence of the correlations were investigated. No nonmonotonic behavior was observed in any of the two-particle angular correlation functions as a function of the beam energy from 7.7 to 200 GeV and indeed the dependence on the beam energy is quite weak overall. The experimental results were also compared to those obtained from the models UrQMD, Hijing, and AMPT.
The expected near-side peak was observed in the pion and kaon correlations which is associated with short-range mechanisms. In the case of the like-sign two-pion correlations, this peak appears to be predominantly femtoscopic in the kinematic range of this analysis as it can be removed by removing pairs with a relative four-vector difference of less than 100 MeV/. The amplitudes of the correlations decrease with increasing beam energy and decrease as the collisions become more central, and are at most weakly dependent on the transverse momentum in two wide bins of this variable. A strong near-side ring-shaped positive correlation was observed in the unlike-sign kaon correlations resulting from the strongly correlated pairs from (1020) decays.
In contrast to the meson correlations, the proton pairs exhibit a significant near-side anticorrelation at all beam energies. This proton anticorrelation has already been observed in small systems and is here reported for the first time in the large collision system of Au+Au. This anticorrelation was observed in both like-sign and unlike-sign (anti)proton pairs, and it is wider in relative rapidity, , for the like-sign charge combination as compared to the unlike-sign combination. The model comparisons imply that the anticorrelation in the unlike-sign proton pairs is caused by baryon-antibaryon annihilation. A description of the cause of the stronger and longer-range anticorrelation in the like-sign proton pairs is not yet in hand. This like-sign proton anticorrelation is apparently -independent, decreasing with increasing beam energy, and decreasing as the collisions become more central.
Acknowledgements.
We thank the RHIC Operations Group and RCF at BNL, the NERSC Center at LBNL, and the Open Science Grid consortium for providing resources and support. This work was supported in part by the Office of Nuclear Physics within the U.S. DOE Office of Science, the U.S. National Science Foundation, the Ministry of Education and Science of the Russian Federation, National Natural Science Foundation of China, Chinese Academy of Science, the Ministry of Science and Technology of China and the Chinese Ministry of Education, the National Research Foundation of Korea, Czech Science Foundation and Ministry of Education, Youth and Sports of the Czech Republic, Hungarian National Research, Development and Innovation Office, New National Excellency Programme of the Hungarian Ministry of Human Capacities, Department of Atomic Energy and Department of Science and Technology of the Government of India, the National Science Centre of Poland, the Ministry of Science, Education and Sports of the Republic of Croatia, RosAtom of Russia and German Bundesministerium fur Bildung, Wissenschaft, Forschung and Technologie (BMBF) and the Helmholtz Association.
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