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The production of π±, K±, and (p)p is measured in pp collisions at √s = 13 TeV in different topological regions of the events. Particle transverse momentum (pT) spectra are measured in the “toward”, “transverse”, and “away” angular regions defined with respect to the direction of the leading particle in the event. While the toward and away regions contain the fragmentation products of the near-side and away-side jets, respectively, the transverse region is dominated by particles from the Underlying Event (UE). The relative transverse activity classifier, RT = NT/⟨NT⟩, is used to group events according to their UE activity, where NT is the measured charged-particle multiplicity per event in the transverse region and ⟨NT⟩ is the mean value over all the analysed events. The first measurements of identified particle pT spectra as a function of RT in the three topological regions are reported. It is found that the yield of high transverse momentum particles relative to the RT-integrated measurement decreases with increasing RT in both the toward and the away regions, indicating that the softer UE dominates particle production as RT increases and validating that RT can be used to control the magnitude of the UE. Conversely, the spectral shapes in the transverse region harden significantly with increasing RT. This hardening follows a mass ordering, being more significant for heavier particles. Finally, it is observed that the pT-differential particle ratios (p + p)/(π+ + π−) and (K+ + K−)/(π+ + π−) in the low UE limit (RT → 0) approach expectations from Monte Carlo generators such as PYTHIA 8 with Monash 2013 tune and EPOS LHC, where the jet-fragmentation models have been tuned to reproduce e+e− results.
Production of pions, kaons, and protons as a function of the relative transverse activity classifier in pp collisions at $$ \sqrt{s} $$ = 13 TeV
S. Acharya;D. Adamov??;A. Adler;G. Aglieri Rinella;M. Agnello;N. Agrawal;Z. Ahammed;S. Ahmad;S. U. Ahn;I. Ahuja;A. Akindinov;M. Al-Turany;D. Aleksandrov;B. Alessandro;H. M. Alfanda;R. Alfaro Molina;B. Ali;A. Alici;N. Alizadehvandchali;A. Alkin;J. Alme;G. Alocco;T. Alt;I. Altsybeev;M. N. Anaam;C. Andrei;A. Andronic;V. Anguelov;F. Antinori;P. Antonioli;N. Apadula;L. Aphecetche;H. Appelsh??user;C. Arata;S. Arcelli;M. Aresti;R. Arnaldi;J. G. M. C. A. Arneiro;I. C. Arsene;M. Arslandok;A. Augustinus;R. Averbeck;M. D. Azmi;A. Badal??;J. Bae;Y. W. Baek;X. Bai;R. Bailhache;Y. Bailung;A. Balbino;A. Baldisseri;B. Balis;D. Banerjee;Z. Banoo;R. Barbera;F. Barile;L. Barioglio;M. Barlou;G. G. Barnaf??ldi;L. S. Barnby;V. Barret;L. Barreto;C. Bartels;K. Barth;E. Bartsch;N. Bastid;S. Basu;G. Batigne;D. Battistini;B. Batyunya;D. Bauri;J. L. Bazo Alba;I. G. Bearden;C. Beattie;P. Becht;D. Behera;I. Belikov;A. D. C. Bell Hechavarria;F. Bellini;R. Bellwied;S. Belokurova;V. Belyaev;G. Bencedi;S. Beole;A. Bercuci;Y. Berdnikov;A. Berdnikova;L. Bergmann;M. G. Besoiu;L. Betev;P. P. Bhaduri;A. Bhasin;M. A. Bhat;B. Bhattacharjee;L. Bianchi;N. Bianchi;J. Biel????k;J. Biel????kov??;J. Biernat;A. P. Bigot;A. Bilandzic;G. Biro;S. Biswas;N. Bize;J. T. Blair;D. Blau;M. B. Blidaru;N. Bluhme;C. Blume;G. Boca;F. Bock;T. Bodova;A. Bogdanov;S. Boi;J. Bok;L. Boldizs??r;A. Bolozdynya;M. Bombara;P. M. Bond;G. Bonomi;H. Borel;A. Borissov;A. G. Borquez Carcamo;H. Bossi;E. Botta;Y. E. M. Bouziani;L. Bratrud;P. Braun-Munzinger;M. Bregant;M. Broz;G. E. Bruno;M. D. Buckland;D. Budnikov;H. Buesching;S. Bufalino;O. Bugnon;P. Buhler;Z. Buthelezi;S. A. Bysiak;M. Cai;H. Caines;A. Caliva;E. Calvo Villar;J. M. M. Camacho;P. Camerini;F. D. M. Canedo;M. Carabas;A. A. Carballo;F. Carnesecchi;R. Caron;L. A. D. Carvalho;J. Castillo Castellanos;F. Catalano;C. Ceballos Sanchez;I. Chakaberia;P. Chakraborty;S. Chandra;S. Chapeland;M. Chartier;S. Chattopadhyay;S. Chattopadhyay;T. G. Chavez;T. Cheng;C. Cheshkov;B. Cheynis;V. Chibante Barroso;D. D. Chinellato;E. S. Chizzali;J. Cho;S. Cho;P. Chochula;P. Christakoglou;C. H. Christensen;P. Christiansen;T. Chujo;M. Ciacco;C. Cicalo;F. Cindolo;M. R. Ciupek;G. Clai;F. Colamaria;J. S. Colburn;D. Colella;M. Colocci;M. Concas;G. Conesa Balbastre;Z. Conesa del Valle;G. Contin;J. G. Contreras;M. L. Coquet;T. M. Cormier;P. Cortese;M. R. Cosentino;F. Costa;S. Costanza;C. Cot;J. Crkovsk??;P. Crochet;R. Cruz-Torres;E. Cuautle;P. Cui;A. Dainese;M. C. Danisch;A. Danu;P. Das;P. Das;S. Das;A. R. Dash;S. Dash;A. De Caro;G. de Cataldo;J. de Cuveland;A. De Falco;D. De Gruttola;N. De Marco;C. De Martin;S. De Pasquale;S. Deb;R. J. Debski;K. R. Deja;R. Del Grande;L. Dello Stritto;W. Deng;P. Dhankher;D. Di Bari;A. Di Mauro;R. A. Diaz;T. Dietel;Y. Ding;R. Divi??;D. U. Dixit;??. Djuvsland;U. Dmitrieva;A. Dobrin;B. D??nigus;J. M. Dubinski;A. Dubla;S. Dudi;P. Dupieux;M. Durkac;N. Dzalaiova;T. M. Eder;R. J. Ehlers;V. N. Eikeland;F. Eisenhut;D. Elia;B. Erazmus;F. Ercolessi;F. Erhardt;M. 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Yang;S. Yano;Z. Yin;I. -K. Yoo;J. H. Yoon;S. Yuan;A. Yuncu;V. Zaccolo;C. Zampolli;F. Zanone;N. Zardoshti;A. Zarochentsev;P. Z??vada;N. Zaviyalov;M. Zhalov;B. Zhang;L. Zhang;S. Zhang;X. Zhang;Y. Zhang;Z. Zhang;M. Zhao;V. Zherebchevskii;Y. Zhi;D. Zhou;Y. Zhou;J. Zhu;Y. Zhu;S. C. Zugravel;N. Zurlo
2023-01-01
Abstract
The production of π±, K±, and (p)p is measured in pp collisions at √s = 13 TeV in different topological regions of the events. Particle transverse momentum (pT) spectra are measured in the “toward”, “transverse”, and “away” angular regions defined with respect to the direction of the leading particle in the event. While the toward and away regions contain the fragmentation products of the near-side and away-side jets, respectively, the transverse region is dominated by particles from the Underlying Event (UE). The relative transverse activity classifier, RT = NT/⟨NT⟩, is used to group events according to their UE activity, where NT is the measured charged-particle multiplicity per event in the transverse region and ⟨NT⟩ is the mean value over all the analysed events. The first measurements of identified particle pT spectra as a function of RT in the three topological regions are reported. It is found that the yield of high transverse momentum particles relative to the RT-integrated measurement decreases with increasing RT in both the toward and the away regions, indicating that the softer UE dominates particle production as RT increases and validating that RT can be used to control the magnitude of the UE. Conversely, the spectral shapes in the transverse region harden significantly with increasing RT. This hardening follows a mass ordering, being more significant for heavier particles. Finally, it is observed that the pT-differential particle ratios (p + p)/(π+ + π−) and (K+ + K−)/(π+ + π−) in the low UE limit (RT → 0) approach expectations from Monte Carlo generators such as PYTHIA 8 with Monash 2013 tune and EPOS LHC, where the jet-fragmentation models have been tuned to reproduce e+e− results.
S. Acharya; D. Adamov??; A. Adler; G. Aglieri Rinella; M. Agnello; N. Agrawal; Z. Ahammed; S. Ahmad; S. U. Ahn; I. Ahuja; A. Akindinov; M. Al-Turany; ...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1912030
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simulazione ASN
Il report seguente simula gli indicatori relativi alla produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione.
La simulazione si basa sui dati IRIS e presenta gli indicatori calcolati alla data indicata sul report. Si ricorda che in sede di domanda ASN presso il MIUR gli indicatori saranno invece calcolati a partire dal 1° gennaio rispettivamente del quinto/decimo/quindicesimo anno precedente la scadenza del quadrimestre di presentazione della domanda (art 2 del DM 598/2018).
In questa simulazione pertanto il valore degli indicatori potrà differire da quello conteggiato all’atto della domanda ASN effettuata presso il MIUR a seguito di:
Correzioni imputabili a eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori.
Presenza di eventuali errori di catalogazione e/o dati mancanti in IRIS
Variabilità nel tempo dei valori citazionali (per i settori bibliometrici)
Variabilità della finestra temporale considerata in funzione della sessione di domanda ASN a cui si partecipa.
La presente simulazione è stata realizzata sulla base delle regole riportate nel DM 598/2018 e dell'allegata Tabella A e delle specifiche definite all'interno del Focus Group Cineca relativo al modulo IRIS ER. Il Cineca non si assume alcuna responsabilità in merito all'uso che il diretto interessato o terzi faranno della simulazione.