Javascript must be enabled to continue!
The potential of $$\varLambda $$ and $$\varXi ^-$$ studies with PANDA at FAIR
View through CrossRef
AbstractThe antiproton experiment PANDA at FAIR is designed to bring hadron physics to a new level in terms of scope, precision and accuracy. In this work, its unique capability for studies of hyperons is outlined. We discuss ground-state hyperons as diagnostic tools to study non-perturbative aspects of the strong interaction, and fundamental symmetries. New simulation studies have been carried out for two benchmark hyperon-antihyperon production channels: $${\bar{p}}p \rightarrow {\bar{\varLambda }}\varLambda $$
p
¯
p
→
Λ
¯
Λ
and $${\bar{p}}p \rightarrow {\bar{\varXi }}^+\varXi ^-$$
p
¯
p
→
Ξ
¯
+
Ξ
-
. The results, presented in detail in this paper, show that hyperon-antihyperon pairs from these reactions can be exclusively reconstructed with high efficiency and very low background contamination. In addition, the polarisation and spin correlations have been studied, exploiting the weak, self-analysing decay of hyperons and antihyperons. Two independent approaches to the finite efficiency have been applied and evaluated: one standard multidimensional efficiency correction approach, and one efficiency independent approach. The applicability of the latter was thoroughly evaluated for all channels, beam momenta and observables. The standard method yields good results in all cases, and shows that spin observables can be studied with high precision and accuracy already in the first phase of data taking with PANDA.
Springer Science and Business Media LLC
G. Barucca
F. Davì
G. Lancioni
P. Mengucci
L. Montalto
P. P. Natali
N. Paone
D. Rinaldi
L. Scalise
W. Erni
B. Krusche
M. Steinacher
N. Walford
N. Cao
Z. Liu
C. Liu
B. Liu
X. Shen
S. Sun
J. Tao
X. A. Xiong
G. Zhao
J. Zhao
M. Albrecht
W. Alkakhi
S. Bökelmann
F. Feldbauer
M. Fink
J. Frech
V. Freudenreich
M. Fritsch
R. Hagdorn
F. H. Heinsius
T. Held
T. Holtmann
I. Keshk
H. Koch
B. Kopf
M. Kuhlmann
M. Kümmel
M. Küßner
J. Li
A. Mustafa
M. Pelizäus
A. Pitka
J. Reher
G. Reicherz
M. Richter
C. Schnier
L. Sohl
M. Steinke
T. Triffterer
C. Wenzel
U. Wiedner
H. Denizli
N. Er
R. Beck
C. Hammann
J. Hartmann
B. Ketzer
J. Müllers
M. Rossbach
B. Salisbury
C. Schmidt
U. Thoma
M. Urban
A. Bianconi
M. Bragadireanu
D. Pantea
M. Domagala
G. Filo
E. Lisowski
F. Lisowski
M. Michałek
P. Poznański
J. Płażek
K. Korcyl
A. Kozela
P. Lebiedowicz
K. Pysz
W. Schäfer
A. Szczurek
T. Fiutowski
M. Idzik
K. Swientek
P. Terlecki
G. Korcyl
R. Lalik
A. Malige
P. Moskal
K. Nowakowski
W. Przygoda
N. Rathod
Z. Rudy
P. Salabura
J. Smyrski
I. Augustin
R. Böhm
I. Lehmann
L. Schmitt
V. Varentsov
M. Al-Turany
A. Belias
H. Deppe
R. Dzhygadlo
H. Flemming
A. Gerhardt
K. Götzen
A. Heinz
P. Jiang
R. Karabowicz
S. Koch
U. Kurilla
D. Lehmann
J. Lühning
U. Lynen
H. Orth
K. Peters
J. Rieger
T. Saito
G. Schepers
C. J. Schmidt
C. Schwarz
J. Schwiening
A. Täschner
M. Traxler
B. Voss
P. Wieczorek
V. Abazov
G. Alexeev
V. A. Arefiev
V. Astakhov
M. Yu. Barabanov
B. V. Batyunya
V. Kh. Dodokhov
A. Efremov
A. Fechtchenko
A. Galoyan
G. Golovanov
E. K. Koshurnikov
Y. Yu. Lobanov
A. G. Olshevskiy
A. A. Piskun
A. Samartsev
S. Shimanski
N. B. Skachkov
A. N. Skachkova
E. A. Strokovsky
V. Tokmenin
V. Uzhinsky
A. Verkheev
A. Vodopianov
N. I. Zhuravlev
D. Branford
D. Watts
M. Böhm
W. Eyrich
A. Lehmann
D. Miehling
M. Pfaffinger
N. Quin
L. Robison
K. Seth
T. Xiao
D. Bettoni
A. Ali
A. Hamdi
M. Himmelreich
M. Krebs
S. Nakhoul
F. Nerling
A. Belousov
I. Kisel
G. Kozlov
M. Pugach
M. Zyzak
N. Bianchi
P. Gianotti
V. Lucherini
G. Bracco
Y. Bettner
S. Bodenschatz
K. T. Brinkmann
L. Brück
S. Diehl
V. Dormenev
M. Düren
T. Erlen
K. Föhl
C. Hahn
A. Hayrapetyan
J. Hofmann
S. Kegel
M. Kesselkaul
I. Köseoglu
A. Kripko
W. Kühn
J. S. Lange
V. Metag
M. Moritz
M. Nanova
R. Novotny
P. Orsich
J. Pereira-de-Lira
M. Peter
M. Sachs
M. Schmidt
R. Schubert
H. Stenzel
M. Straube
M. Strickert
U. Thöring
T. Wasem
B. Wohlfahrt
H. G. Zaunick
E. Tomasi-Gustafsson
D. Glazier
D. Ireland
B. Seitz
P. N. Deepak
A. Kulkarni
R. Kappert
M. Kavatsyuk
H. Loehner
J. Messchendorp
V. Rodin
P. Schakel
S. Vejdani
K. Dutta
K. Kalita
G. Huang
D. Liu
H. Peng
H. Qi
Y. Sun
X. Zhou
M. Kunze
K. Azizi
A. Derichs
R. Dosdall
W. Esmail
A. Gillitzer
F. Goldenbaum
D. Grunwald
L. Jokhovets
J. Kannika
P. Kulessa
S. Orfanitski
G. Pérez Andrade
D. Prasuhn
E. Prencipe
J. Pütz
J. Ritman
E. Rosenthal
S. Schadmand
R. Schmitz
A. Scholl
T. Sefzick
V. Serdyuk
T. Stockmanns
D. Veretennikov
P. Wintz
P. Wüstner
H. Xu
Y. Zhou
X. Cao
Q. Hu
Z. Li
H. Li
Y. Liang
X. Ma
V. Rigato
L. Isaksson
P. Achenbach
A. Aycock
O. Corell
A. Denig
M. Distler
M. Hoek
W. Lauth
H. H. Leithoff
Z. Liu
H. Merkel
U. Müller
J. Pochodzalla
S. Schlimme
C. Sfienti
M. Thiel
M. Zambrana
S. Ahmed
S. Bleser
M. Bölting
L. Capozza
A. Dbeyssi
A. Ehret
P. Grasemann
R. Klasen
R. Kliemt
F. Maas
S. Maldaner
C. Morales Morales
C. Motzko
O. Noll
S. Pflüger
D. Rodríguez Piñeiro
F. Schupp
M. Steinen
S. Wolff
I. Zimmermann
A. Fedorov
D. Kazlou
M. Korzhik
O. Missevitch
A. Balashoff
A. Boukharov
O. Malyshev
P. Balanutsa
V. Chernetsky
A. Demekhin
A. Dolgolenko
P. Fedorets
A. Gerasimov
A. Golubev
V. Goryachev
A. Kantsyrev
D. Y. Kirin
N. Kristi
E. Ladygina
E. Luschevskaya
V. A. Matveev
V. Panjushkin
A. V. Stavinskiy
K. N. Basant
H. Kumawat
B. Roy
A. Saxena
S. Yogesh
D. Bonaventura
P. Brand
C. Fritzsch
S. Grieser
C. Hargens
A. K. Hergemöller
B. Hetz
N. Hüsken
J. Kellers
A. Khoukaz
D. Bumrungkoh
C. Herold
K. Khosonthongkee
C. Kobdaj
A. Limphirat
K. Manasatitpong
T. Nasawad
S. Pongampai
T. Simantathammakul
P. Srisawad
N. Wongprachanukul
Y. Yan
C. Yu
X. Zhang
W. Zhu
A. E. Blinov
S. Kononov
E. A. Kravchenko
E. Antokhin
A. Yu. Barnyakov
K. Beloborodov
V. E. Blinov
I. A. Kuyanov
S. Pivovarov
E. Pyata
Y. Tikhonov
R. Kunne
B. Ramstein
G. Hunter
M. Lattery
H. Pace
G. Boca
D. Duda
M. Finger
M. Finger,
A. Kveton
M. Pesek
M. Peskova
I. Prochazka
M. Slunecka
M. Volf
P. Gallus
V. Jary
O. Korchak
M. Marcisovsky
G. Neue
J. Novy
L. Tomasek
M. Tomasek
M. Virius
V. Vrba
V. Abramov
S. Bukreeva
S. Chernichenko
A. Derevschikov
V. Ferapontov
Y. Goncharenko
A. Levin
E. Maslova
Y. Melnik
A. Meschanin
N. Minaev
V. Mochalov
V. Moiseev
D. Morozov
L. Nogach
S. Poslavskiy
A. Ryazantsev
S. Ryzhikov
P. Semenov
I. Shein
A. Uzunian
A. Vasiliev
A. Yakutin
U. Roy
B. Yabsley
S. Belostotski
G. Fedotov
G. Gavrilov
A. Izotov
S. Manaenkov
O. Miklukho
A. Zhdanov
A. Atac
T. Bäck
B. Cederwall
K. Makonyi
M. Preston
P. E. Tegner
D. Wölbing
K. Gandhi
A. K. Rai
S. Godre
V. Crede
S. Dobbs
P. Eugenio
D. Lersch
D. Calvo
P. De Remigis
A. Filippi
G. Mazza
A. Rivetti
R. Wheadon
M. P. Bussa
S. Spataro
F. Iazzi
A. Lavagno
A. Martin
A. Akram
H. Calen
W. Ikegami Andersson
T. Johansson
A. Kupsc
P. Marciniewski
M. Papenbrock
J. Regina
K. Schönning
M. Wolke
J. Diaz
V. Pothodi Chackara
A. Chlopik
G. Kesik
D. Melnychuk
J. Tarasiuk
M. Wojciechowski
S. Wronka
B. Zwieglinski
C. Amsler
P. Bühler
N. Kratochwil
J. Marton
W. Nalti
D. Steinschaden
E. Widmann
S. Zimmermann
J. Zmeskal
Title: The potential of $$\varLambda $$ and $$\varXi ^-$$ studies with PANDA at FAIR
Description:
AbstractThe antiproton experiment PANDA at FAIR is designed to bring hadron physics to a new level in terms of scope, precision and accuracy.
In this work, its unique capability for studies of hyperons is outlined.
We discuss ground-state hyperons as diagnostic tools to study non-perturbative aspects of the strong interaction, and fundamental symmetries.
New simulation studies have been carried out for two benchmark hyperon-antihyperon production channels: $${\bar{p}}p \rightarrow {\bar{\varLambda }}\varLambda $$
p
¯
p
→
Λ
¯
Λ
and $${\bar{p}}p \rightarrow {\bar{\varXi }}^+\varXi ^-$$
p
¯
p
→
Ξ
¯
+
Ξ
-
.
The results, presented in detail in this paper, show that hyperon-antihyperon pairs from these reactions can be exclusively reconstructed with high efficiency and very low background contamination.
In addition, the polarisation and spin correlations have been studied, exploiting the weak, self-analysing decay of hyperons and antihyperons.
Two independent approaches to the finite efficiency have been applied and evaluated: one standard multidimensional efficiency correction approach, and one efficiency independent approach.
The applicability of the latter was thoroughly evaluated for all channels, beam momenta and observables.
The standard method yields good results in all cases, and shows that spin observables can be studied with high precision and accuracy already in the first phase of data taking with PANDA.
Related Results
Precision measurement of the $$ {\varXi}_{cc}^{++} $$ mass
Precision measurement of the $$ {\varXi}_{cc}^{++} $$ mass
AbstractA measurement of the$$ {\varXi}_{cc}^{++} $$Ξcc++mass is performed using data collected by the LHCb experiment between 2016 and 2018 inppcollisions at a centre-of-mass ener...
Study of excited $$\varvec{\varXi }$$ baryons with the $$\overline{\text{ P }}$$ANDA detector
Study of excited $$\varvec{\varXi }$$ baryons with the $$\overline{\text{ P }}$$ANDA detector
AbstractThe study of baryon excitation spectra provides insight into the inner structure of baryons. So far, most of the world-wide efforts have been directed towards $$N^*$$
...
The metabolic rates of giant panda and red panda
The metabolic rates of giant panda and red panda
The giant panda (Ailuropoda melanoleuca) is one of the most endangered vertebrates and an iconic symbol of conservation. While progress has been made in understanding its genome, l...
Be like a panda: reconstructing national identities through China's iconic species
Be like a panda: reconstructing national identities through China's iconic species
Despite lacking clear historical significance, the appeal pandas have to the people of China has played an integral role in the emergence of the country's cultural identity and ide...
Diplomasi Panda dan Hubungan Bilateral China-Jerman Tahun 2016-2019
Diplomasi Panda dan Hubungan Bilateral China-Jerman Tahun 2016-2019
Since the 7th century, China has been giving their endemic animal, Giant Panda, as one of public diplomacy practices also known as Panda Diplomacy. Chinese Panda Diplomacy only app...
Diplomasi Panda dan Hubungan Bilateral China-Jerman Tahun 2016-2019
Diplomasi Panda dan Hubungan Bilateral China-Jerman Tahun 2016-2019
Since the 7th century, China has been giving their endemic animal, Giant Panda, as one of public diplomacy practice also known as Panda Diplomacy. China’s Panda Diplomacy only ap...
Impacts of temperature on giant panda habitat in the north Minshan Mountains
Impacts of temperature on giant panda habitat in the north Minshan Mountains
AbstractUnderstanding the impacts of meteorological factors on giant pandas is necessary for future conservation measures in response to global climate change. We integrated temper...
Curriculum Development for FAIR Data Stewardship
Curriculum Development for FAIR Data Stewardship
Abstract
The FAIR Guidelines attempts to make digital data Findable, Accessible, Interoperable, and Reusable (FAIR). To prepare FAIR data, a new data science discipl...

