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SwatiSaha-1997SwatiSaha-1997
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Fixed o2-linter errors and some Mult correlation histograms
1 parent 12c9048 commit f4e2e68

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‎PWGCF/EbyEFluctuations/Tasks/MeanptFluctuations.cxx‎

Lines changed: 106 additions & 69 deletions
Original file line numberDiff line numberDiff line change
@@ -46,16 +46,16 @@
4646

4747
namespace o2::aod
4848
{
49-
namespace ptQn
49+
namespace pt_qn
5050
{
5151
DECLARE_SOA_COLUMN(Q1, q1, float); //! sum of pT of tracks in an event
5252
DECLARE_SOA_COLUMN(Q2, q2, float); //! sum of (pT)^2 of tracks in an event
5353
DECLARE_SOA_COLUMN(Q3, q3, float); //! sum of (pT)^3 of tracks in an event
5454
DECLARE_SOA_COLUMN(Q4, q4, float); //! sum of (pT)^4 of tracks in an event
55-
DECLARE_SOA_COLUMN(N_ch, n_ch, float); //! no of charged particles/multiplicity in an event
55+
DECLARE_SOA_COLUMN(Nch, nch, float); //! no of charged particles/multiplicity in an event
5656
DECLARE_SOA_COLUMN(Centrality, centrality, float); //! Centrality of event
57-
} // namespace ptQn
58-
DECLARE_SOA_TABLE(MultPtQn, "AOD", "PTQN", ptQn::Q1, ptQn::Q2, ptQn::Q3, ptQn::Q4, ptQn::N_ch, ptQn::Centrality); //! table to store e-by-e sum of pT, (pT)^2, (pT)^3, (pT)^4 of tracks, multiplicity and centrality
57+
} // namespace pt_qn
58+
DECLARE_SOA_TABLE(MultPtQn, "AOD", "PTQN", pt_qn::Q1, pt_qn::Q2, pt_qn::Q3, pt_qn::Q4, pt_qn::Nch, pt_qn::Centrality); //! table to store e-by-e sum of pT, (pT)^2, (pT)^3, (pT)^4 of tracks, multiplicity and centrality
5959
} // namespace o2::aod
6060

6161
using namespace o2;
@@ -64,9 +64,11 @@ using namespace o2::framework::expressions;
6464

6565
#define O2_DEFINE_CONFIGURABLE(NAME, TYPE, DEFAULT, HELP) Configurable<TYPE> NAME{#NAME, DEFAULT, HELP};
6666

67-
struct MeanptFluctuations_QA_QnTable {
67+
struct MeanptFluctuationsQAQnTable {
6868

6969
Configurable<float> cfgCutVertex{"cfgCutVertex", 10.0f, "Accepted z-vertex range"};
70+
Configurable<float> cfgCutPreSelEta{"cfgCutPreSelEta", 0.8f, "|eta|<x; choose x value"};
71+
Configurable<float> cfgCutPreSelPt{"cfgCutPreSelPt", 5.0f, "Maximum allowed pT"};
7072
Configurable<float> cfgCutPtLower{"cfgCutPtLower", 0.2f, "Lower pT cut"};
7173
Configurable<float> cfgCutPtUpper{"cfgCutPtUpper", 3.0f, "Higher pT cut"};
7274
Configurable<float> cfgCutTpcChi2NCl{"cfgCutTpcChi2NCl", 2.5f, "Maximum TPCchi2NCl"};
@@ -124,19 +126,19 @@ struct MeanptFluctuations_QA_QnTable {
124126

125127
// Filter command***********
126128
Filter collisionFilter = nabs(aod::collision::posZ) < cfgCutVertex;
127-
Filter trackFilter = (nabs(aod::track::eta) < 0.8f) && (aod::track::pt > cfgCutPtLower) && (aod::track::pt < 5.0f) && (requireGlobalTrackInFilter()) && (aod::track::tpcChi2NCl < cfgCutTpcChi2NCl) && (aod::track::itsChi2NCl < cfgCutItsChi2NCl) && (nabs(aod::track::dcaZ) < cfgCutTrackDcaZ);
129+
Filter trackFilter = (nabs(aod::track::eta) < cfgCutPreSelEta) && (aod::track::pt > cfgCutPtLower) && (aod::track::pt < cfgCutPreSelPt) && (requireGlobalTrackInFilter()) && (aod::track::tpcChi2NCl < cfgCutTpcChi2NCl) && (aod::track::itsChi2NCl < cfgCutItsChi2NCl) && (nabs(aod::track::dcaZ) < cfgCutTrackDcaZ);
128130

129131
// Connect to ccdb
130132
Service<ccdb::BasicCCDBManager> ccdb;
131-
Configurable<int64_t> nolaterthan{"ccdb-no-later-than", std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::system_clock::now().time_since_epoch()).count(), "latest acceptable timestamp of creation for the object"};
132-
Configurable<std::string> url{"ccdb-url", "http://ccdb-test.cern.ch:8080", "url of the ccdb repository"};
133+
Configurable<int64_t> ccdbnolaterthan{"ccdbnolaterthan", std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::system_clock::now().time_since_epoch()).count(), "latest acceptable timestamp of creation for the object"};
134+
Configurable<std::string> ccdburl{"ccdburl", "http://ccdb-test.cern.ch:8080", "url of the ccdb repository"};
133135

134136
HistogramRegistry histos{"Histos", {}, OutputObjHandlingPolicy::AnalysisObject};
135137

136138
// filtering collisions and tracks***********
137-
using aodCollisions = soa::Filtered<soa::Join<aod::Collisions, aod::EvSels, aod::CentFT0Cs, aod::CentFT0Ms, aod::CentFT0As, aod::CentFV0As, aod::Mults>>;
139+
using AodCollisions = soa::Filtered<soa::Join<aod::Collisions, aod::EvSels, aod::CentFT0Cs, aod::CentFT0Ms, aod::CentFT0As, aod::CentFV0As, aod::Mults>>;
138140
// using aodCollisions = soa::Filtered<soa::Join<aod::Collisions, aod::EvSels>>;
139-
using aodTracks = soa::Filtered<soa::Join<aod::Tracks, aod::TrackSelection, aod::TracksExtra, aod::TracksDCA>>;
141+
using AodTracks = soa::Filtered<soa::Join<aod::Tracks, aod::TrackSelection, aod::TracksExtra, aod::TracksDCA>>;
140142

141143
// Event selection cuts - Alex
142144
TF1* fMultPVCutLow = nullptr;
@@ -169,6 +171,20 @@ struct MeanptFluctuations_QA_QnTable {
169171
histos.add("hMeanPt", "", kTProfile, {centAxis});
170172
histos.add("Hist2D_globalTracks_PVTracks", "", {HistType::kTH2D, {nchAxis, nchAxis}});
171173
histos.add("Hist2D_cent_nch", "", {HistType::kTH2D, {nchAxis, centAxis}});
174+
// before selection
175+
histos.add("His2D_globalTracks_PVTracks_beforeSel", "", {HistType::kTH2D, {nchAxis, nchAxis}});
176+
histos.add("His2D_globalTracks_centFT0C_beforeSel", "", {HistType::kTH2D, {centAxis, nchAxis}});
177+
histos.add("His2D_PVTracks_centFT0C_beforeSel", "", {HistType::kTH2D, {centAxis, nchAxis}});
178+
histos.add("His2D_globalTracks_V0ATracks_beforeSel", "", {HistType::kTH2D, {nchAxis, nchAxis}});
179+
histos.add("His2D_globalTracks_T0ATracks_beforeSel", "", {HistType::kTH2D, {nchAxis, nchAxis}});
180+
histos.add("His2D_V0ATracks_T0CTracks_beforeSel", "", {HistType::kTH2D, {nchAxis, nchAxis}});
181+
// after selection
182+
histos.add("His2D_globalTracks_PVTracks_afterSel", "", {HistType::kTH2D, {nchAxis, nchAxis}});
183+
histos.add("His2D_globalTracks_centFT0C_afterSel", "", {HistType::kTH2D, {centAxis, nchAxis}});
184+
histos.add("His2D_PVTracks_centFT0C_afterSel", "", {HistType::kTH2D, {centAxis, nchAxis}});
185+
histos.add("His2D_globalTracks_V0ATracks_afterSel", "", {HistType::kTH2D, {nchAxis, nchAxis}});
186+
histos.add("His2D_globalTracks_T0ATracks_afterSel", "", {HistType::kTH2D, {nchAxis, nchAxis}});
187+
histos.add("His2D_V0ATracks_T0CTracks_afterSel", "", {HistType::kTH2D, {nchAxis, nchAxis}});
172188

173189
// Event selection - Alex
174190
if (cfgUse22sEventCut) {
@@ -225,7 +241,9 @@ struct MeanptFluctuations_QA_QnTable {
225241
if (collision.numContrib() > 1) {
226242
vtxz = collision.posZ();
227243
float zRes = std::sqrt(collision.covZZ());
228-
if (zRes > 0.25 && collision.numContrib() < 20)
244+
float zResMax = 0.25;
245+
float numContribMin = 20;
246+
if (zRes > zResMax && collision.numContrib() < numContribMin)
229247
vtxz = -999;
230248
}
231249
auto multNTracksPV = collision.multNTracksPV();
@@ -247,7 +265,7 @@ struct MeanptFluctuations_QA_QnTable {
247265
}
248266

249267
template <typename TCollision>
250-
bool eventSelected_smallion(TCollision collision, const int multTrk, const float centrality)
268+
bool eventSelectedSmallion(TCollision collision, const int multTrk, const float centrality)
251269
{
252270
auto multNTracksPV = collision.multNTracksPV();
253271

@@ -288,10 +306,10 @@ struct MeanptFluctuations_QA_QnTable {
288306
return 1;
289307
}
290308

291-
Produces<aod::MultPtQn> mult_ptQn;
309+
Produces<aod::MultPtQn> multPtQn;
292310

293311
// void process(aod::Collision const& coll, aod::Tracks const& inputTracks)
294-
void process(aodCollisions::iterator const& coll, aod::BCsWithTimestamps const&, aodTracks const& inputTracks)
312+
void process(AodCollisions::iterator const& coll, aod::BCsWithTimestamps const&, AodTracks const& inputTracks)
295313
{
296314
if (!coll.sel8()) {
297315
return;
@@ -309,38 +327,56 @@ struct MeanptFluctuations_QA_QnTable {
309327
return;
310328
}
311329

312-
const auto CentralityFT0C = coll.centFT0C();
313-
if (cfgUse22sEventCut && !eventSelected(coll, inputTracks.size(), CentralityFT0C))
330+
histos.fill(HIST("His2D_globalTracks_PVTracks_beforeSel"), coll.multNTracksPV(), inputTracks.size());
331+
histos.fill(HIST("His2D_globalTracks_centFT0C_beforeSel"), coll.centFT0C(), inputTracks.size());
332+
histos.fill(HIST("His2D_PVTracks_centFT0C_beforeSel"), coll.centFT0C(), coll.multNTracksPV());
333+
histos.fill(HIST("His2D_globalTracks_V0ATracks_beforeSel"), coll.multFV0A(), inputTracks.size());
334+
histos.fill(HIST("His2D_globalTracks_T0ATracks_beforeSel"), coll.multFT0A(), inputTracks.size());
335+
histos.fill(HIST("His2D_V0ATracks_T0CTracks_beforeSel"), coll.multFT0C(), coll.multFV0A());
336+
337+
const auto centralityFT0C = coll.centFT0C();
338+
if (cfgUse22sEventCut && !eventSelected(coll, inputTracks.size(), centralityFT0C))
314339
return;
315-
if (cfgUseSmallIonAdditionalEventCut && !eventSelected_smallion(coll, inputTracks.size(), CentralityFT0C))
340+
if (cfgUseSmallIonAdditionalEventCut && !eventSelectedSmallion(coll, inputTracks.size(), centralityFT0C))
316341
return;
317342

343+
histos.fill(HIST("His2D_globalTracks_PVTracks_afterSel"), coll.multNTracksPV(), inputTracks.size());
344+
histos.fill(HIST("His2D_globalTracks_centFT0C_afterSel"), coll.centFT0C(), inputTracks.size());
345+
histos.fill(HIST("His2D_PVTracks_centFT0C_afterSel"), coll.centFT0C(), coll.multNTracksPV());
346+
histos.fill(HIST("His2D_globalTracks_V0ATracks_afterSel"), coll.multFV0A(), inputTracks.size());
347+
histos.fill(HIST("His2D_globalTracks_T0ATracks_afterSel"), coll.multFT0A(), inputTracks.size());
348+
histos.fill(HIST("His2D_V0ATracks_T0CTracks_afterSel"), coll.multFT0C(), coll.multFV0A());
349+
318350
histos.fill(HIST("hZvtx_after_sel"), coll.posZ());
319351

320352
double cent = 0.0;
321-
if (cfgCentralityEstimator == 1)
353+
int centChoiceFT0C = 1;
354+
int centChoiceFT0A = 2;
355+
int centChoiceFT0M = 3;
356+
int centChoiceFV0A = 4;
357+
if (cfgCentralityEstimator == centChoiceFT0C)
322358
cent = coll.centFT0C();
323-
else if (cfgCentralityEstimator == 2)
359+
else if (cfgCentralityEstimator == centChoiceFT0A)
324360
cent = coll.centFT0A();
325-
else if (cfgCentralityEstimator == 3)
361+
else if (cfgCentralityEstimator == centChoiceFT0M)
326362
cent = coll.centFT0M();
327-
else if (cfgCentralityEstimator == 4)
363+
else if (cfgCentralityEstimator == centChoiceFV0A)
328364
cent = coll.centFV0A();
329365

330366
histos.fill(HIST("hCentrality"), cent);
331367

332368
histos.fill(HIST("Hist2D_globalTracks_PVTracks"), coll.multNTracksPV(), inputTracks.size());
333-
histos.fill(HIST("Hist2D_cent_nch"), inputTracks.size(), CentralityFT0C);
369+
histos.fill(HIST("Hist2D_cent_nch"), inputTracks.size(), centralityFT0C);
334370

335371
// variables
336-
double pT_sum = 0.0;
337-
double N = 0.0;
372+
double pTsum = 0.0;
373+
double nN = 0.0;
338374

339375
float q1 = 0.0;
340376
float q2 = 0.0;
341377
float q3 = 0.0;
342378
float q4 = 0.0;
343-
float n_ch = 0.0;
379+
float nCh = 0.0;
344380

345381
for (const auto& track : inputTracks) { // Loop over tracks
346382

@@ -363,44 +399,45 @@ struct MeanptFluctuations_QA_QnTable {
363399
histos.fill(HIST("hDcaXY"), track.dcaXY());
364400
histos.fill(HIST("hDcaZ"), track.dcaZ());
365401

366-
pT_sum += track.pt();
367-
N += 1.0;
402+
pTsum += track.pt();
403+
nN += 1.0;
368404

369405
float pT = track.pt();
370-
// calculating Q1, Q2, Q3, Q4. N_ch
406+
// calculating Q1, Q2, Q3, Q4. Nch
371407
if (track.pt() > cfgCutPtLower && track.pt() < cfgCutPtUpper && track.sign() != 0) {
372408
q1 = q1 + std::pow(pT, 1.0);
373409
q2 = q2 + std::pow(pT, 2.0);
374410
q3 = q3 + std::pow(pT, 3.0);
375411
q4 = q4 + std::pow(pT, 4.0);
376-
n_ch = n_ch + 1;
412+
nCh = nCh + 1;
377413
}
378414
}
379-
mult_ptQn(q1, q2, q3, q4, n_ch, cent);
415+
multPtQn(q1, q2, q3, q4, nCh, cent);
380416
// MeanPt
381-
if (N > 0.0f)
382-
histos.fill(HIST("hMeanPt"), cent, pT_sum / N);
417+
if (nN > 0.0f)
418+
histos.fill(HIST("hMeanPt"), cent, pTsum / nN);
383419
}
384420
};
385421

386-
struct MeanptFluctuations_analysis {
422+
struct MeanptFluctuationsAnalysis {
387423

388-
Configurable<int> cfgNSubsample{"cfgNSubsample", 10, "Number of subsamples"};
424+
Configurable<int> cfgNsubSample{"cfgNsubSample", 10, "Number of subsamples"};
389425
ConfigurableAxis centAxis{"centAxis", {90, 0, 90}, ""};
390426
ConfigurableAxis multAxis{"multAxis", {5000, 0.5, 5000.5}, ""};
391427
ConfigurableAxis meanpTAxis{"meanpTAxis", {500, 0, 5.0}, ""};
392428

393-
expressions::Filter Nch_filter = aod::ptQn::n_ch > 3.0f;
429+
float minNch = 3.0f;
430+
expressions::Filter nchFilter = aod::pt_qn::nch > minNch;
394431
using FilteredMultPtQn = soa::Filtered<aod::MultPtQn>;
395432

396433
// Connect to ccdb
397434
Service<ccdb::BasicCCDBManager> ccdb;
398-
Configurable<int64_t> nolaterthan{"ccdb-no-later-than", std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::system_clock::now().time_since_epoch()).count(), "latest acceptable timestamp of creation for the object"};
399-
Configurable<std::string> url{"ccdb-url", "http://ccdb-test.cern.ch:8080", "url of the ccdb repository"};
435+
Configurable<int64_t> ccdbnolaterthan{"ccdbnolaterthan", std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::system_clock::now().time_since_epoch()).count(), "latest acceptable timestamp of creation for the object"};
436+
Configurable<std::string> ccdburl{"ccdburl", "http://ccdb-test.cern.ch:8080", "url of the ccdb repository"};
400437

401438
// Define output
402439
HistogramRegistry registry{"registry", {}, OutputObjHandlingPolicy::AnalysisObject};
403-
std::vector<std::vector<std::shared_ptr<TProfile2D>>> Subsample;
440+
std::vector<std::vector<std::shared_ptr<TProfile2D>>> subSample;
404441
TRandom3* fRndm = new TRandom3(0);
405442

406443
void init(o2::framework::InitContext&)
@@ -416,57 +453,57 @@ struct MeanptFluctuations_analysis {
416453
registry.add("Hist2D_meanpt_centrality", "", {HistType::kTH2D, {centAxis, meanpTAxis}});
417454

418455
// initial array
419-
Subsample.resize(cfgNSubsample);
420-
for (int i = 0; i < cfgNSubsample; i++) {
421-
Subsample[i].resize(4);
456+
subSample.resize(cfgNsubSample);
457+
for (int i = 0; i < cfgNsubSample; i++) {
458+
subSample[i].resize(4);
422459
}
423-
for (int i = 0; i < cfgNSubsample; i++) {
424-
Subsample[i][0] = std::get<std::shared_ptr<TProfile2D>>(registry.add(Form("Subsample_%d/Prof_mean_t1", i), "", {HistType::kTProfile2D, {centAxis, multAxis}}));
425-
Subsample[i][1] = std::get<std::shared_ptr<TProfile2D>>(registry.add(Form("Subsample_%d/Prof_var_t1", i), "", {HistType::kTProfile2D, {centAxis, multAxis}}));
426-
Subsample[i][2] = std::get<std::shared_ptr<TProfile2D>>(registry.add(Form("Subsample_%d/Prof_skew_t1", i), "", {HistType::kTProfile2D, {centAxis, multAxis}}));
427-
Subsample[i][3] = std::get<std::shared_ptr<TProfile2D>>(registry.add(Form("Subsample_%d/Prof_kurt_t1", i), "", {HistType::kTProfile2D, {centAxis, multAxis}}));
460+
for (int i = 0; i < cfgNsubSample; i++) {
461+
subSample[i][0] = std::get<std::shared_ptr<TProfile2D>>(registry.add(Form("subSample_%d/Prof_mean_t1", i), "", {HistType::kTProfile2D, {centAxis, multAxis}}));
462+
subSample[i][1] = std::get<std::shared_ptr<TProfile2D>>(registry.add(Form("subSample_%d/Prof_var_t1", i), "", {HistType::kTProfile2D, {centAxis, multAxis}}));
463+
subSample[i][2] = std::get<std::shared_ptr<TProfile2D>>(registry.add(Form("subSample_%d/Prof_skew_t1", i), "", {HistType::kTProfile2D, {centAxis, multAxis}}));
464+
subSample[i][3] = std::get<std::shared_ptr<TProfile2D>>(registry.add(Form("subSample_%d/Prof_kurt_t1", i), "", {HistType::kTProfile2D, {centAxis, multAxis}}));
428465
}
429466
}
430467

431-
float mean_term1;
432-
float variance_term1;
433-
float skewness_term1;
434-
float kurtosis_term1;
468+
float meanTerm1;
469+
float varianceTerm1;
470+
float skewnessTerm1;
471+
float kurtosisTerm1;
435472

436473
// void process(aod::MultPtQn::iterator const& event_ptqn)
437474
void process(FilteredMultPtQn::iterator const& event_ptqn)
438475
{
439-
// LOGF(info, "Centrality= %f Nch= %f Q1= %f Q2= %f", event_ptqn.centrality(), event_ptqn.n_ch(), event_ptqn.q1(), event_ptqn.q2());
476+
// LOGF(info, "Centrality= %f Nch= %f Q1= %f Q2= %f", event_ptqn.centrality(), event_ptqn.nch(), event_ptqn.q1(), event_ptqn.q2());
440477

441478
// calculating observables
442-
mean_term1 = event_ptqn.q1() / event_ptqn.n_ch();
443-
variance_term1 = (std::pow(event_ptqn.q1(), 2.0f) - event_ptqn.q2()) / (event_ptqn.n_ch() * (event_ptqn.n_ch() - 1.0f));
444-
skewness_term1 = (std::pow(event_ptqn.q1(), 3.0f) - 3.0f * event_ptqn.q2() * event_ptqn.q1() + 2.0f * event_ptqn.q3()) / (event_ptqn.n_ch() * (event_ptqn.n_ch() - 1.0f) * (event_ptqn.n_ch() - 2.0f));
445-
kurtosis_term1 = (std::pow(event_ptqn.q1(), 4.0f) - (6.0f * event_ptqn.q4()) + (8.0f * event_ptqn.q1() * event_ptqn.q3()) - (6.0f * std::pow(event_ptqn.q1(), 2.0f) * event_ptqn.q2()) + (3.0f * std::pow(event_ptqn.q2(), 2.0f))) / (event_ptqn.n_ch() * (event_ptqn.n_ch() - 1.0f) * (event_ptqn.n_ch() - 2.0f) * (event_ptqn.n_ch() - 3.0f));
479+
meanTerm1 = event_ptqn.q1() / event_ptqn.nch();
480+
varianceTerm1 = (std::pow(event_ptqn.q1(), 2.0f) - event_ptqn.q2()) / (event_ptqn.nch() * (event_ptqn.nch() - 1.0f));
481+
skewnessTerm1 = (std::pow(event_ptqn.q1(), 3.0f) - 3.0f * event_ptqn.q2() * event_ptqn.q1() + 2.0f * event_ptqn.q3()) / (event_ptqn.nch() * (event_ptqn.nch() - 1.0f) * (event_ptqn.nch() - 2.0f));
482+
kurtosisTerm1 = (std::pow(event_ptqn.q1(), 4.0f) - (6.0f * event_ptqn.q4()) + (8.0f * event_ptqn.q1() * event_ptqn.q3()) - (6.0f * std::pow(event_ptqn.q1(), 2.0f) * event_ptqn.q2()) + (3.0f * std::pow(event_ptqn.q2(), 2.0f))) / (event_ptqn.nch() * (event_ptqn.nch() - 1.0f) * (event_ptqn.nch() - 2.0f) * (event_ptqn.nch() - 3.0f));
446483

447484
// filling profiles and histograms for central values
448-
registry.get<TProfile2D>(HIST("Prof_mean_t1"))->Fill(event_ptqn.centrality(), event_ptqn.n_ch(), mean_term1);
449-
registry.get<TProfile2D>(HIST("Prof_var_t1"))->Fill(event_ptqn.centrality(), event_ptqn.n_ch(), variance_term1);
450-
registry.get<TProfile2D>(HIST("Prof_skew_t1"))->Fill(event_ptqn.centrality(), event_ptqn.n_ch(), skewness_term1);
451-
registry.get<TProfile2D>(HIST("Prof_kurt_t1"))->Fill(event_ptqn.centrality(), event_ptqn.n_ch(), kurtosis_term1);
452-
registry.fill(HIST("Hist2D_Nch_centrality"), event_ptqn.centrality(), event_ptqn.n_ch());
453-
registry.fill(HIST("Hist2D_meanpt_centrality"), event_ptqn.centrality(), mean_term1);
485+
registry.get<TProfile2D>(HIST("Prof_mean_t1"))->Fill(event_ptqn.centrality(), event_ptqn.nch(), meanTerm1);
486+
registry.get<TProfile2D>(HIST("Prof_var_t1"))->Fill(event_ptqn.centrality(), event_ptqn.nch(), varianceTerm1);
487+
registry.get<TProfile2D>(HIST("Prof_skew_t1"))->Fill(event_ptqn.centrality(), event_ptqn.nch(), skewnessTerm1);
488+
registry.get<TProfile2D>(HIST("Prof_kurt_t1"))->Fill(event_ptqn.centrality(), event_ptqn.nch(), kurtosisTerm1);
489+
registry.fill(HIST("Hist2D_Nch_centrality"), event_ptqn.centrality(), event_ptqn.nch());
490+
registry.fill(HIST("Hist2D_meanpt_centrality"), event_ptqn.centrality(), meanTerm1);
454491

455492
// selecting subsample and filling profiles
456-
float l_Random = fRndm->Rndm();
457-
int SampleIndex = static_cast<int>(cfgNSubsample * l_Random);
458-
Subsample[SampleIndex][0]->Fill(event_ptqn.centrality(), event_ptqn.n_ch(), mean_term1);
459-
Subsample[SampleIndex][1]->Fill(event_ptqn.centrality(), event_ptqn.n_ch(), variance_term1);
460-
Subsample[SampleIndex][2]->Fill(event_ptqn.centrality(), event_ptqn.n_ch(), skewness_term1);
461-
Subsample[SampleIndex][3]->Fill(event_ptqn.centrality(), event_ptqn.n_ch(), kurtosis_term1);
493+
float lRandom = fRndm->Rndm();
494+
int sampleIndex = static_cast<int>(cfgNsubSample * lRandom);
495+
subSample[sampleIndex][0]->Fill(event_ptqn.centrality(), event_ptqn.nch(), meanTerm1);
496+
subSample[sampleIndex][1]->Fill(event_ptqn.centrality(), event_ptqn.nch(), varianceTerm1);
497+
subSample[sampleIndex][2]->Fill(event_ptqn.centrality(), event_ptqn.nch(), skewnessTerm1);
498+
subSample[sampleIndex][3]->Fill(event_ptqn.centrality(), event_ptqn.nch(), kurtosisTerm1);
462499
}
463500
};
464501

465502
WorkflowSpec defineDataProcessing(ConfigContext const& cfgc)
466503
{
467504
// Equivalent to the AddTask in AliPhysics
468505
return WorkflowSpec{
469-
adaptAnalysisTask<MeanptFluctuations_QA_QnTable>(cfgc),
470-
adaptAnalysisTask<MeanptFluctuations_analysis>(cfgc),
506+
adaptAnalysisTask<MeanptFluctuationsQAQnTable>(cfgc),
507+
adaptAnalysisTask<MeanptFluctuationsAnalysis>(cfgc),
471508
};
472509
}

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