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Aditya Nath Mishra Indian Institute of Technology Indore, INDIA ISMD2014 (Italy, September 8-12, 2014) Multiparticle production in nuclear collisions using effective energy approach A.N. Mishra, R. Sahoo, E.K.G. Sarkisyan, A.S. Sakharov arXiv:1405.2819

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Page 1: Multiparticle production in nuclear collisions using

Aditya Nath Mishra! Indian Institute of Technology Indore, INDIA!

ISMD2014 (Italy, September 8-12, 2014)!!

Multiparticle production in nuclear collisions using effective energy approach!

A.N. Mishra, R. Sahoo, E.K.G. Sarkisyan, A.S. Sakharov !arXiv:1405.2819 !

Page 2: Multiparticle production in nuclear collisions using

Motivation Bulk observables - mean multiplicity and rapidity densities - control parameters of the formation and evolution of the collision initial state !!Extensively studied in heavy-ion collisions at RHIC !

Aditya  Nath  Mishra   ISMD2014,  Italy   1  

Page 3: Multiparticle production in nuclear collisions using

Motivation Bulk observables - mean multiplicity and rapidity densities - control parameters of the formation and evolution of the collision initial state !!Extensively studied in heavy-ion collisions at RHIC !Similarities with e+e- and pp data: !universality in multihadron production !

30%  of  a  spectator  energy?  

Aditya  Nath  Mishra   ISMD2014,  Italy   1  

Page 4: Multiparticle production in nuclear collisions using

Motivation Bulk observables - mean multiplicity and rapidity densities - control parameters of the formation and evolution of the collision initial state !!Extensively studied in heavy-ion collisions at RHIC !Similarities with e+e- and pp data: !universality in multihadron production !

pp multiplicity data to !be scaled !

30%  of  a  spectator  energy?  

Aditya  Nath  Mishra   ISMD2014,  Italy   1  

Page 5: Multiparticle production in nuclear collisions using

Motivation Bulk observables - mean multiplicity and rapidity densities - control parameters of the formation and evolution of the collision initial state !!Extensively studied in heavy-ion collisions at RHIC !Similarities with e+e- and pp data: !universality in multihadron production !

pp multiplicity data to !be scaled !

30%  of  a  spectator  energy?  

pp midrapidity density does not obey a similar scaling !

Aditya  Nath  Mishra   ISMD2014,  Italy   1  

Page 6: Multiparticle production in nuclear collisions using

Motivation Bulk observables - mean multiplicity and rapidity densities - control parameters of the formation and evolution of the collision initial state !!Extensively studied in heavy-ion collisions at RHIC !Similarities with e+e- and pp data: !universality in multihadron production !

pp multiplicity data to !be scaled !

Not the same scaling for both variables and for different types of interactions!

30%  of  a  spectator  energy?  

pp midrapidity density does not obey a similar scaling !

Aditya  Nath  Mishra   ISMD2014,  Italy   1  

J.F.  Grosse-­‐Oetringhaus  and  K.  Reygers  (2010):  K=1/3,  n0~2  

Page 7: Multiparticle production in nuclear collisions using

Constituent Quark Framework No nucleon participant dependence as soon as calculated in the constituent quark framework!

R.Sahoo, A.N.M. (2014)!

Aditya  Nath  Mishra   ISMD2014,  Italy   2  

Nucleon  part.  

Quark  part.  

Nucleon Participant: Open vs solid symbols: hijing vs overlap model!Quark Participant: Open vs solid symbols: different σpp!!

Page 8: Multiparticle production in nuclear collisions using

Constituent Quark Framework No nucleon participant dependence as soon as calculated in the constituent quark framework!!AA centrality data are similar to NSD measurements!

R.Sahoo, A.N.M. (2014)!

Aditya  Nath  Mishra   ISMD2014,  Italy   2   R. Nouicer (2007), PHOBOS data!

Nucleon  part.  

Quark  part.  

pp/p̄p

Nucleon  part.  

Quark  part.  

Page 9: Multiparticle production in nuclear collisions using

Constituent Quark Framework No nucleon participant dependence as soon as calculated in the constituent quark framework!!AA centrality data are similar to NSD measurements!!Quark degrees of freedom seem to !play a role, not the nucleon ones!!

R.Sahoo, A.N.M. (2014)!

Aditya  Nath  Mishra   ISMD2014,  Italy   2   R. Nouicer (2007), PHOBOS data!

Nucleon  part.  

Quark  part.  

pp/p̄p

Nucleon  part.  

Quark  part.  

Page 10: Multiparticle production in nuclear collisions using

Energy Scaling vs. Types of Collisions ü  e+e- (structureless particles) annihilation - the total interaction energy

is deposited in the initial state !

ü  pp (superposition of three pairs of constituents) collision - only the energy of the interacting single quark pair is deposited in the initial state !

ü  Both multiplicity and midrapidity density should be similar in pp at c.m. energy √spp and e+e- at c.m. energy √see≈ √spp/3 !

Aditya  Nath  Mishra   ISMD2014,  Italy   3  

Page 11: Multiparticle production in nuclear collisions using

Energy Scaling vs. Types of Collisions ü  e+e- (structureless particles) annihilation - the total interaction energy

is deposited in the initial state !

ü  pp (superposition of three pairs of constituents) collision - only the energy of the interacting single quark pair is deposited in the initial state !

ü  Both multiplicity and midrapidity density should be similar in pp at c.m. energy √spp and e+e- at c.m. energy √see≈ √spp/3 !

ü  Head-on heavy ion collisions: all three quarks participate nearly simultaneously and deposit their energy coherently into initial state!

ü  Both multiplicity and midrapidity density should be similar in pp at c.m. energy √spp and head-on AA at c.m. energy √sNN ≈ √spp/3 !

!

Aditya  Nath  Mishra   ISMD2014,  Italy   3  

E.  Sarkisyan  &  A.  Sakharov  (2004)  :  dissipaBng    energy  parBcipants  

Page 12: Multiparticle production in nuclear collisions using

Hydrodynamics of Collisions  Ø  Two head-on colliding Lorentz-contracted particles stop within

the overlapped zone !v Formation of fully thermalized initial state at the collision moment!v  The decay (expansion) of the initial state is governed by relativistic ! hydrodynamics - Landau model (1953)!

4  ISMD2014,  Italy  Aditya  Nath  Mishra  

Page 13: Multiparticle production in nuclear collisions using

Hydrodynamics of Collisions  Ø  Two head-on colliding Lorentz-contracted particles stop within

the overlapped zone !v Formation of fully thermalized initial state at the collision moment!v  The decay (expansion) of the initial state is governed by relativistic ! hydrodynamics - Landau model (1953)!

Steinberg,  nucl-­‐ex/0405022  

4  ISMD2014,  Italy  Aditya  Nath  Mishra  

Page 14: Multiparticle production in nuclear collisions using

Hydrodynamics of Collisions  Ø  Two head-on colliding Lorentz-contracted particles stop within

the overlapped zone !v Formation of fully thermalized initial state at the collision moment!v  The decay (expansion) of the initial state is governed by relativistic ! hydrodynamics - Landau model (1953)!

Steinberg,  nucl-­‐ex/0405022  

BRAHMS,  nucl-­‐ex/0410003  

2Nch

Npart

exp(�y

2/2L)p2⇡L

, L = ln

ps

2m

4  ISMD2014,  Italy  Aditya  Nath  Mishra  

Page 15: Multiparticle production in nuclear collisions using

Hydrodynamics of Collisions  Ø  Two head-on colliding Lorentz-contracted particles stop within

the overlapped zone !v Formation of fully thermalized initial state at the collision moment!v  The decay (expansion) of the initial state is governed by relativistic ! hydrodynamics - Landau model (1953)!

Steinberg,  nucl-­‐ex/0405022  

BRAHMS,  nucl-­‐ex/0410003  

2Nch

Npart

exp(�y

2/2L)p2⇡L

, L = ln

ps

2m

4  ISMD2014,  Italy  Aditya  Nath  Mishra  

•     The production of secondaries is defined by the energy deposited ! into the initial state!

Page 16: Multiparticle production in nuclear collisions using

Hydrodynamics & Energy Scaling vs Data from Landau Hydrodynamics !

⇢(0) = ⇢pp(0)2Nch

NpartNppch

rLpp

LNNL = ln

ps

2m

Aditya  Nath  Mishra   ISMD2014,  Italy   5  

Page 17: Multiparticle production in nuclear collisions using

Hydrodynamics & Energy Scaling vs Data from Landau Hydrodynamics !

⇢(0) = ⇢pp(0)2Nch

NpartNppch

rLpp

LNNL = ln

ps

2m

Landau Hydrodynamics+ Constituent Quark approach ⇢(0) = ⇢pp(0)

2Nch

NpartNppch

s1� 4 ln3

ln(4m2p/sNN)

Aditya  Nath  Mishra   ISMD2014,  Italy   5  

Page 18: Multiparticle production in nuclear collisions using

Hydrodynamics & Energy Scaling vs Data from Landau Hydrodynamics !

⇢(0) = ⇢pp(0)2Nch

NpartNppch

rLpp

LNNL = ln

ps

2m

Landau Hydrodynamics+ Constituent Quark approach ⇢(0) = ⇢pp(0)

2Nch

NpartNppch

s1� 4 ln3

ln(4m2p/sNN)

ü  Nuclear data both on midrapidity density and mean multiplicity energy dependence well reproduced up to top RHIC energy!

E.K.G.  Sarkisyan,  A.S.  Sakharov  (2010)  

Aditya  Nath  Mishra   ISMD2014,  Italy   5  

Page 19: Multiparticle production in nuclear collisions using

Hydrodynamics & Energy Scaling vs Data from Landau Hydrodynamics !

⇢(0) = ⇢pp(0)2Nch

NpartNppch

rLpp

LNNL = ln

ps

2m

Landau Hydrodynamics+ Constituent Quark approach ⇢(0) = ⇢pp(0)

2Nch

NpartNppch

s1� 4 ln3

ln(4m2p/sNN)

ü  Nuclear data both on midrapidity density and mean multiplicity energy dependence well reproduced up to top RHIC energy!

ü  pp data at the LHC energy of 2-7 TeV well predicted!

E.K.G.  Sarkisyan,  A.S.  Sakharov  (2010)  

Aditya  Nath  Mishra   ISMD2014,  Italy   5  CMS  conf.  reports  

pp  

Page 20: Multiparticle production in nuclear collisions using

Hydrodynamics & Energy Scaling vs Data from Landau Hydrodynamics !

⇢(0) = ⇢pp(0)2Nch

NpartNppch

rLpp

LNNL = ln

ps

2m

Landau Hydrodynamics+ Constituent Quark approach ⇢(0) = ⇢pp(0)

2Nch

NpartNppch

s1� 4 ln3

ln(4m2p/sNN)

ü  Nuclear data both on midrapidity density and mean multiplicity energy dependence well reproduced up to top RHIC energy!

ü  pp data at the LHC energy of 2-7 TeV well predicted!

ü  Heavy-ion collisions at the LHC indicate a transition to a possibly new regime with more degrees of freedom !

E.K.G.  Sarkisyan,  A.S.  Sakharov  (2010)  

Aditya  Nath  Mishra   ISMD2014,  Italy   5  CMS  conf.  reports  

pp  

Page 21: Multiparticle production in nuclear collisions using

Effective Energy: Effective energy can be calculated as following:!

! !!!Here α is centrality percentile. !e.g. For 0-5% central collision α = 0.025!!

✏NN =psNN(1 � ↵)

Hydrodynamics and Effective Energy

Aditya  Nath  Mishra   ISMD2014,  Italy   6  

Page 22: Multiparticle production in nuclear collisions using

Hydrodynamics and Effective Energy

⇢(0) = ⇢pp(0)2Nch

NpartNppch

s

1� 2 ln3

ln(2mp/✏NN)

✏NN =pspp/3

Aditya  Nath  Mishra   ISMD2014,  Italy   6  

Effective Energy: Effective energy can be calculated as following:!

! !!!Here α is centrality percentile. !e.g. For 0-5% central collision α = 0.025!!

✏NN =psNN(1 � ↵)

Page 23: Multiparticle production in nuclear collisions using

Charged Particle Mid-rapidity Density

2

4

6

8

10

12

0 100 200 300 400Npart

l(0)

= 2

dN ch

/dd| d

=0 /

N part

CMS 2.76 TeVPHOBOS 200 GeV × 2.12PHOBOS 200 GeVPHOBOS 130 GeVPHOBOS 62.4 GeVPHOBOS 19.6 GeVCQM + Landau, pp-basedEffective energy dissip. model

Effective energy dissip. modelprediction for 3s<NN = 5.52 TeVCMS 2.76 TeV × 1.43

Upto top RHIC energy the data show slight increase as centrality decreases!!LHC data has monotonic increasing behavior!

Aditya  Nath  Mishra   ISMD2014,  Italy   7  

Page 24: Multiparticle production in nuclear collisions using

Charged Particle Mid-rapidity Density

2

4

6

8

10

12

0 100 200 300 400Npart

l(0)

= 2

dN ch

/dd| d

=0 /

N part

CMS 2.76 TeVPHOBOS 200 GeV × 2.12PHOBOS 200 GeVPHOBOS 130 GeVPHOBOS 62.4 GeVPHOBOS 19.6 GeVCQM + Landau, pp-basedEffective energy dissip. model

Effective energy dissip. modelprediction for 3s<NN = 5.52 TeVCMS 2.76 TeV × 1.43

Upto top RHIC energy the data show slight increase as centrality decreases!!LHC data has monotonic increasing behavior!!CQM+Landau calculations have a very good agreement with data!

Aditya  Nath  Mishra   ISMD2014,  Italy   7  

Nch is calculated at √sNN = εNN!ρpp(0) and Npp

ch are calculated at !√spp = 3εNN!    

Page 25: Multiparticle production in nuclear collisions using

Charged Particle Mid-rapidity Density

2

4

6

8

10

12

0 100 200 300 400Npart

l(0)

= 2

dN ch

/dd| d

=0 /

N part

CMS 2.76 TeVPHOBOS 200 GeV × 2.12PHOBOS 200 GeVPHOBOS 130 GeVPHOBOS 62.4 GeVPHOBOS 19.6 GeVCQM + Landau, pp-basedEffective energy dissip. model

Effective energy dissip. modelprediction for 3s<NN = 5.52 TeVCMS 2.76 TeV × 1.43

Upto top RHIC energy the data show slight increase as centrality decreases!!LHC data has monotonic increasing behavior!!CQM+Landau calculations have a very good agreement with data!!Effective energy dissipation (red line of the fit to head-on c o l l i s i o n d a t a e n e r g y dependence [next slide]) also explains data and gives predictions at √sNN= 5.52 TeV!!

Nch is calculated at √sNN = εNN!ρpp(0) and Npp

ch are calculated at !√spp = 3εNN!    Aditya  Nath  Mishra   ISMD2014,  Italy   7  

Page 26: Multiparticle production in nuclear collisions using

Charged Particle Mid-rapidity Density ü  Similarity in all the data from

peripheral to the most central ones follow the same energy behavior!

2

4

6

8

10

12

14

1 10 10 2 10 3

3s<

NN , ¡NN [GeV]

l(0)

= 2

dN ch

/dd

| d=0

/ N pa

rt

AA central collisionsLHC data

ALICEATLASCMS

RHIC AuAu dataBRAHMSPHENIX

PHOBOS STAR

SPS dataNA45NA49

AGS dataE802/917

GSI dataFOPI

hybrid fit: log(s) + power-lawpower-law fitlog(s) fit up to RHIC data

Energy dissipation model calculationfor AA centrality data at ¡NN

CMSPHOBOSSTAR

Fits to weighted LHC and RHIC dataLHC: ALICE, ATLAS, CMSRHIC: PHENIX, PHOBOS, STAR

hybrid fit: log(s) + power-lawpower-law fit

Prediction for AA at 3s<NN = 5.52 TeV

Aditya  Nath  Mishra   ISMD2014,  Italy   8  

Page 27: Multiparticle production in nuclear collisions using

Charged Particle Mid-rapidity Density ü  Similarity in all the data from

peripheral to the most central ones follow the same energy behavior!

ü  Hybrid fit to both the most central (head-on)and centrality data sets are close enough!

!

2

4

6

8

10

12

14

1 10 10 2 10 3

3s<

NN , ¡NN [GeV]

l(0)

= 2

dN ch

/dd

| d=0

/ N pa

rt

AA central collisionsLHC data

ALICEATLASCMS

RHIC AuAu dataBRAHMSPHENIX

PHOBOS STAR

SPS dataNA45NA49

AGS dataE802/917

GSI dataFOPI

hybrid fit: log(s) + power-lawpower-law fitlog(s) fit up to RHIC data

Energy dissipation model calculationfor AA centrality data at ¡NN

CMSPHOBOSSTAR

Fits to weighted LHC and RHIC dataLHC: ALICE, ATLAS, CMSRHIC: PHENIX, PHOBOS, STAR

hybrid fit: log(s) + power-lawpower-law fit

Prediction for AA at 3s<NN = 5.52 TeV

Aditya  Nath  Mishra   ISMD2014,  Italy   8  

Page 28: Multiparticle production in nuclear collisions using

Charged Particle Mid-rapidity Density ü  Similarity in all the data from

peripheral to the most central ones follow the same energy behavior!

ü  Hybrid fit to both the most central (head-on)and centrality data sets are close enough!

!ü  Model well reproduces the

data under the assumption of the effective energy deriving the multi-particle production process!

!ü  The combined data indicate

possible transition to a new regime at √sNN=0.5-1.0 TeV!

2

4

6

8

10

12

14

1 10 10 2 10 3

3s<

NN , ¡NN [GeV]

l(0)

= 2

dN ch

/dd

| d=0

/ N pa

rt

AA central collisionsLHC data

ALICEATLASCMS

RHIC AuAu dataBRAHMSPHENIX

PHOBOS STAR

SPS dataNA45NA49

AGS dataE802/917

GSI dataFOPI

hybrid fit: log(s) + power-lawpower-law fitlog(s) fit up to RHIC data

Energy dissipation model calculationfor AA centrality data at ¡NN

CMSPHOBOSSTAR

Fits to weighted LHC and RHIC dataLHC: ALICE, ATLAS, CMSRHIC: PHENIX, PHOBOS, STAR

hybrid fit: log(s) + power-lawpower-law fit

Prediction for AA at 3s<NN = 5.52 TeV

Aditya  Nath  Mishra   ISMD2014,  Italy   8  

Page 29: Multiparticle production in nuclear collisions using

Charged Particle Mid-rapidity Density ü  Similarity in all the data from

peripheral to the most central ones follow the same energy behavior!

ü  Hybrid fit to both the most central (head-on)and centrality data sets are close enough!

!ü  Model well reproduces the

data under the assumption of the effective energy deriving the multi-particle production process!

!ü  The combined data indicate

possible transition to a new regime at √sNN=0.5-1.0 TeV!

2

4

6

8

10

12

14

1 10 10 2 10 3

3s<

NN , ¡NN [GeV]

l(0)

= 2

dN ch

/dd

| d=0

/ N pa

rt

AA central collisionsLHC data

ALICEATLASCMS

RHIC AuAu dataBRAHMSPHENIX

PHOBOS STAR

SPS dataNA45NA49

AGS dataE802/917

GSI dataFOPI

hybrid fit: log(s) + power-lawpower-law fitlog(s) fit up to RHIC data

Energy dissipation model calculationfor AA centrality data at ¡NN

CMSPHOBOSSTAR

Fits to weighted LHC and RHIC dataLHC: ALICE, ATLAS, CMSRHIC: PHENIX, PHOBOS, STAR

hybrid fit: log(s) + power-lawpower-law fit

Prediction for AA at 3s<NN = 5.52 TeV

PredicYon   for  charged  parYcle  mid-­‐rapidity    density   for   Pb+Pb   collisions   at   √sNN   =   5.52  TeV  is  about  12.0  (within  10%  uncertainty)  

Aditya  Nath  Mishra   ISMD2014,  Italy   8  

Page 30: Multiparticle production in nuclear collisions using

Charged Particle Mid-rapidity Density ü  Hybrid fit to both the central

and centrality data sets are close enough!

!ü  Model well reproduces the

data under the assumption of the effective energy deriving the multi-particle production process!

ü  Similarity in all the data from peripheral to the most central ones follow the same energy behavior!

ü  The combined data indicate possible transition to a new regime at √sNN=0.5-1.0 TeV!

PredicYon   for  charged  parYcle  mid-­‐rapidity    density   for   Pb+Pb   collisions   at   √sNN   =   5.52  TeV  is  about  12.0  (within  10%  uncertainty)  

Aditya  Nath  Mishra   ISMD2014,  Italy   8  

2

4

6

8

10

12

0 100 200 300 400Npart

l(0)

= 2

dNch

/dd|

d=0 / N

part

CMS 2.76 TeVPHOBOS 200 GeV × 2.12PHOBOS 200 GeVPHOBOS 130 GeVPHOBOS 62.4 GeVPHOBOS 19.6 GeVCQM + Landau, pp-basedEffective energy dissip. model

Effective energy dissip. modelprediction for 3s<NN = 5.52 TeVCMS 2.76 TeV × 1.43

2

4

6

8

10

12

14

1 10 10 2 10 3

3s<

NN , ¡NN [GeV]

l(0)

= 2

dN ch

/dd

| d=0

/ N pa

rt

AA central collisionsLHC data

ALICEATLASCMS

RHIC AuAu dataBRAHMSPHENIX

PHOBOS STAR

SPS dataNA45NA49

AGS dataE802/917

GSI dataFOPI

hybrid fit: log(s) + power-lawpower-law fitlog(s) fit up to RHIC data

Energy dissipation model calculationfor AA centrality data at ¡NN

CMSPHOBOSSTAR

Fits to weighted LHC and RHIC dataLHC: ALICE, ATLAS, CMSRHIC: PHENIX, PHOBOS, STAR

hybrid fit: log(s) + power-lawpower-law fit

Prediction for AA at 3s<NN = 5.52 TeV

Page 31: Multiparticle production in nuclear collisions using

ET in Constituent Quark Framework ü  Similar to the midrapidity

density ET measurements show independence of centrality as soon as recalculated in the constituent quark frame!

PHENIX Collab. (2014)!

Aditya  Nath  Mishra   ISMD2014,  Italy  

Quark  part.  

!

R.Sahoo, A.N.M. (2014)!

9  

Quark  part.  

Nucleon  part.  

Page 32: Multiparticle production in nuclear collisions using

ET in Constituent Quark Framework ü  Similar to the midrapidity

density ET measurements show independence of centrality as soon as recalculated in the constituent quark frame!

PHENIX Collab. (2014)!

Aditya  Nath  Mishra   ISMD2014,  Italy  

Quark  part.  

! !

R.Sahoo, A.N.M. (2014)!

9  

Quark  part.  

Nucleon  part.  

ü  Indicates an importance of constituent quark degrees of freedom, therefore the effective energy of participants deriving particle production!

Page 33: Multiparticle production in nuclear collisions using

0

2

4

6

8

10

12

14

16

1 10 10 2 10 3

3s<

NN , ¡NN [GeV]

l T(0) =

2 dE

T /dd|

d=0 / N

part [

GeV] AA central collisions

LHC dataCMS

RHIC dataPHENIXSTAR

SPS dataNA49WA98

AGS dataE802/917

GSI dataFOPI

hybrid fit: log(s) + power-lawpower-law fitlog(s) fit up to RHIC data (PHENIX)

Energy dissipation model calculationfor AA centrality data at ¡NN

CMSPHENIX

Fits to weighted CMS, PHENIX, STAR datahybrid fit: log(s) + power-lawpower-law fit

Prediction for AA at 3s<NN = 5.52 TeV

ü  Centrality data are shown as a function of the effective c.m. energy εNN!

Transverse Energy Mid-rapidity Density

Aditya  Nath  Mishra   ISMD2014,  Italy   10  

Page 34: Multiparticle production in nuclear collisions using

0

2

4

6

8

10

12

14

16

1 10 10 2 10 3

3s<

NN , ¡NN [GeV]

l T(0) =

2 dE

T /dd|

d=0 / N

part [

GeV] AA central collisions

LHC dataCMS

RHIC dataPHENIXSTAR

SPS dataNA49WA98

AGS dataE802/917

GSI dataFOPI

hybrid fit: log(s) + power-lawpower-law fitlog(s) fit up to RHIC data (PHENIX)

Energy dissipation model calculationfor AA centrality data at ¡NN

CMSPHENIX

Fits to weighted CMS, PHENIX, STAR datahybrid fit: log(s) + power-lawpower-law fit

Prediction for AA at 3s<NN = 5.52 TeV

ü  Centrality data are shown as a function of the effective c.m. energy εNN!

!ü  Centrality data follow well the

d a t a f r o m t h e c e n t r a l collisions.!

ü  Hybrid fits are amazingly close to each other for the entire energy range.!

Transverse Energy Mid-rapidity Density

Aditya  Nath  Mishra   ISMD2014,  Italy   10  

Page 35: Multiparticle production in nuclear collisions using

0

2

4

6

8

10

12

14

16

1 10 10 2 10 3

3s<

NN , ¡NN [GeV]

l T(0) =

2 dE

T /dd|

d=0 / N

part [

GeV] AA central collisions

LHC dataCMS

RHIC dataPHENIXSTAR

SPS dataNA49WA98

AGS dataE802/917

GSI dataFOPI

hybrid fit: log(s) + power-lawpower-law fitlog(s) fit up to RHIC data (PHENIX)

Energy dissipation model calculationfor AA centrality data at ¡NN

CMSPHENIX

Fits to weighted CMS, PHENIX, STAR datahybrid fit: log(s) + power-lawpower-law fit

Prediction for AA at 3s<NN = 5.52 TeV

ü  Centrality data are shown as a function of the effective c.m. energy εNN!

!ü  Centrality data follow well the

d a t a f r o m t h e c e n t r a l collisions.!

ü  Hybrid fits are amazingly close to each other for the entire energy range.!

!Effective energy approach provides a good description of the ET production in heavy-ion collisions!

Transverse Energy Mid-rapidity Density

Aditya  Nath  Mishra   ISMD2014,  Italy   10  

Page 36: Multiparticle production in nuclear collisions using

0

2

4

6

8

10

12

14

16

1 10 10 2 10 3

3s<

NN , ¡NN [GeV]

l T(0) =

2 dE

T /dd|

d=0 / N

part [

GeV] AA central collisions

LHC dataCMS

RHIC dataPHENIXSTAR

SPS dataNA49WA98

AGS dataE802/917

GSI dataFOPI

hybrid fit: log(s) + power-lawpower-law fitlog(s) fit up to RHIC data (PHENIX)

Energy dissipation model calculationfor AA centrality data at ¡NN

CMSPHENIX

Fits to weighted CMS, PHENIX, STAR datahybrid fit: log(s) + power-lawpower-law fit

Prediction for AA at 3s<NN = 5.52 TeV

ü  Centrality data are shown as a function of the effective c.m. energy εNN!

!ü  Centrality data follow well the

d a t a f r o m t h e c e n t r a l collisions.!

ü  Hybrid fits are amazingly close to each other for the entire energy range.!

!Effective energy approach provides a good description of the ET production in heavy-ion collisions!

v  LHC data depart from the linear-log in the region of √sNN ≃ 0.5 − 1.0 TeV!

v  Possibly transition to a new r e g i m e i n h e a v y - i o n collisions!

Transverse Energy Mid-rapidity Density

Aditya  Nath  Mishra   ISMD2014,  Italy   10  

Page 37: Multiparticle production in nuclear collisions using

0

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1 10 10 2 10 3

3s<

NN , ¡NN [GeV]

l T(0) =

2 dE

T /dd|

d=0 / N

part [

GeV] AA central collisions

LHC dataCMS

RHIC dataPHENIXSTAR

SPS dataNA49WA98

AGS dataE802/917

GSI dataFOPI

hybrid fit: log(s) + power-lawpower-law fitlog(s) fit up to RHIC data (PHENIX)

Energy dissipation model calculationfor AA centrality data at ¡NN

CMSPHENIX

Fits to weighted CMS, PHENIX, STAR datahybrid fit: log(s) + power-lawpower-law fit

Prediction for AA at 3s<NN = 5.52 TeV

ü  Centrality data are shown as a function of the effective c.m. energy εNN!

!ü  Centrality data follow well the

d a t a f r o m t h e c e n t r a l collisions.!

ü  Hybrid fits are amazingly close to each other for the entire energy range.!

!Effective energy approach provides a good description of the ET production in heavy-ion collisions!

v  LHC data depart from the linear-log in the region of √sNN ≃ 0.5 − 1.0 TeV!

v  Possibly transition to a new r e g i m e i n h e a v y - i o n collisions!

Transverse Energy Mid-rapidity Density

Aditya  Nath  Mishra   ISMD2014,  Italy   10  

PredicYon   for   the   transverse   energy   mid-­‐rapidity    density  for  Pb+Pb  collisions  at  √sNN  =  5.52  TeV  is  about  16.9  (within  10%  uncertainty)  

Page 38: Multiparticle production in nuclear collisions using

0

2

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8

10

12

14

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1 10 10 2 10 3

3s<

NN , ¡NN [GeV]

l T(0) =

2 dE

T /dd|

d=0 / N

part [

GeV] AA central collisions

LHC dataCMS

RHIC dataPHENIXSTAR

SPS dataNA49WA98

AGS dataE802/917

GSI dataFOPI

hybrid fit: log(s) + power-lawpower-law fitlog(s) fit up to RHIC data (PHENIX)

Energy dissipation model calculationfor AA centrality data at ¡NN

CMSPHENIX

Fits to weighted CMS, PHENIX, STAR datahybrid fit: log(s) + power-lawpower-law fit

Prediction for AA at 3s<NN = 5.52 TeV

ü  Centrality data are shown as a function of the effective c.m. energy εNN!

!ü  Centrality data follow well the

d a t a f r o m t h e c e n t r a l collisions.!

ü  Hybrid fits are amazingly close to each other for the entire energy range.!

!Effective energy approach provides a good description of the ET production in heavy-ion collisions!

v  LHC data depart from the linear-log in the region of √sNN ≃ 0.5 − 1.0 TeV!

v  Possibly transition to a new r e g i m e i n h e a v y - i o n collisions!

Transverse Energy Mid-rapidity Density

Aditya  Nath  Mishra   ISMD2014,  Italy   10  

PredicYon   for   the   transverse   energy   mid-­‐rapidity    density  for  Pb+Pb  collisions  at  √sNN  =  5.52  TeV  is  about  16.9  (within  10%  uncertainty)  

2

4

6

8

10

12

14

1 10 10 2 10 3

3s<

NN , ¡NN [GeV]l(

0) =

2 d

Nch

/dd

| d=0

/ N

part

AA central collisionsLHC data

ALICEATLASCMS

RHIC AuAu dataBRAHMSPHENIX

PHOBOS STAR

SPS dataNA45NA49

AGS dataE802/917

GSI dataFOPI

hybrid fit: log(s) + power-lawpower-law fitlog(s) fit up to RHIC data

Energy dissipation model calculationfor AA centrality data at ¡NN

CMSPHOBOSSTAR

Fits to weighted LHC and RHIC dataLHC: ALICE, ATLAS, CMSRHIC: PHENIX, PHOBOS, STAR

hybrid fit: log(s) + power-lawpower-law fit

Prediction for AA at 3s<NN = 5.52 TeV

Page 39: Multiparticle production in nuclear collisions using

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0 100 200 300 400Npart

l T(0

) = 2

dE T

/dd| d

=0 /N

part

[G

eV]

CMS 2.76 TeVPHENIX 200 GeV × 3.07PHENIX 200 GeVPHENIX 130 GeVPHENIX 62.4 GeVPHENIX 19.6 GeVEffective energy dissip. model

Effective energy dissip. modelprediction for 3s<NN = 5.52 TeVCMS 2.76 TeV × 1.59

ü  LHC data shows faster decrease with centrality as compared to RHIC data (in contrast to midrapidity data)!

Transverse Energy Mid-rapidity Density

Aditya  Nath  Mishra   ISMD2014,  Italy   11  

Page 40: Multiparticle production in nuclear collisions using

2

4

6

8

10

12

14

16

0 100 200 300 400Npart

l T(0

) = 2

dE T

/dd| d

=0 /N

part

[G

eV]

CMS 2.76 TeVPHENIX 200 GeV × 3.07PHENIX 200 GeVPHENIX 130 GeVPHENIX 62.4 GeVPHENIX 19.6 GeVEffective energy dissip. model

Effective energy dissip. modelprediction for 3s<NN = 5.52 TeVCMS 2.76 TeV × 1.59

ü  LHC data shows faster decrease with centrality as compared to RHIC data (in contrast to midrapidity data)!

ü  Effective energy approach very well explains the experimental data!

ü  Agreement is even better than for the charge particle midrapidity density!

Transverse Energy Mid-rapidity Density

Aditya  Nath  Mishra   ISMD2014,  Italy   11  

Page 41: Multiparticle production in nuclear collisions using

2

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8

10

12

14

16

0 100 200 300 400Npart

l T(0

) = 2

dE T

/dd| d

=0 /N

part

[G

eV]

CMS 2.76 TeVPHENIX 200 GeV × 3.07PHENIX 200 GeVPHENIX 130 GeVPHENIX 62.4 GeVPHENIX 19.6 GeVEffective energy dissip. model

Effective energy dissip. modelprediction for 3s<NN = 5.52 TeVCMS 2.76 TeV × 1.59

ü  LHC data shows faster decrease with centrality as compared to RHIC data (in contrast to midrapidity data)!

ü  Effective energy approach very well explains the experimental data!

ü  Agreement is even better than for the charge particle midrapidity density!

Transverse Energy Mid-rapidity Density

Aditya  Nath  Mishra   ISMD2014,  Italy   11  

Predictions for the future heavy-ion collisions at √sNN = 5.52 TeV given!

Page 42: Multiparticle production in nuclear collisions using

Summary ü  Centrality and c.m. energy dependence of bulk observables (charged

particle and transverse energy midrapidity density) are analyzed for all available energies!

ü  Universality in particle production process is obtained based on the model considering dissipating energy available at the early stage of collision from interacting participants depending upon their type!

ü  Bulk observables in heavy-ion collisions are well reproduced from those in pp collisions, treated within constituent quark model and Landau hydrodynamics!

ü  Available measurements upto LHC energies agree well with the model expectations. A possible transition to a new regime at √sNN = 0.5 – 1.0 TeV is indicated, the measurements are welcome!

ü  Prediction for the foreseen LHC energy at 5.52 TeV Pb+Pb collisions is made!Aditya  Nath  Mishra   ISMD2014,  Italy   12  

Page 43: Multiparticle production in nuclear collisions using

Thank you