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feat(MinimumBiasClassifier): Add PHParameters for detailed cut tracking #3884

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feat(MinimumBiasClassifier): Add PHParameters for detailed cut tracking #3884

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752589e
Update MinimumBiasClassifier - Add PHParamters
Steepspace Jul 21, 2025
3dd3441
Update MinimumBiasClassifier - Suppress MB Check
Steepspace Jul 21, 2025
6530f15
Update MinimumBiasClassifier - Adjust Defaults Loc
Steepspace Jul 23, 2025
b50c974
Propagate the MBD Information
Steepspace Jul 25, 2025
f662eb1
MinimumBiasClassifier - MBD Charge Thresh Var
Steepspace Jul 26, 2025
f2a8004
Minimum Bias Params Refactor
Steepspace Oct 31, 2025
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32 changes: 32 additions & 0 deletions offline/packages/trigger/MinimumBiasClassifier.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,7 @@

MinimumBiasClassifier::MinimumBiasClassifier(const std::string &name)
: SubsysReco(name)
, m_MinBiasParams(name)
{
}
int MinimumBiasClassifier::InitRun(PHCompositeNode *topNode)
Expand Down Expand Up @@ -90,6 +91,17 @@ int MinimumBiasClassifier::InitRun(PHCompositeNode *topNode)

CreateNodes(topNode);

// Create Space on NodeTree to save Minimum Bias Params
PHNodeIterator parIter(topNode);
m_parNode = dynamic_cast<PHCompositeNode *>(parIter.findFirst("PHCompositeNode", "PAR"));
if (!m_parNode)
{
std::cout << "No RUN node found; cannot create PHParameters. Aborting run!";
return Fun4AllReturnCodes::ABORTRUN;
}

m_MinBiasParams.SaveToNodeTree(m_parNode, "MinBiasParams");

m_zdc_energy_sum.fill(0);
m_mbd_charge_sum.fill(0);
m_mbd_hit.fill(0);
Expand All @@ -113,6 +125,13 @@ int MinimumBiasClassifier::FillMinimumBiasInfo()
std::cout << "Getting Vertex" << std::endl;
}

// set defaults
m_MinBiasParams.set_int_param("minbias_background_cut_fail", false);
m_MinBiasParams.set_int_param("minbias_two_hit_min_fail", false);
m_MinBiasParams.set_int_param("minbias_zdc_energy_min_fail", false);
m_MinBiasParams.set_int_param("minbias_mbd_total_energy_max_fail", false);
m_MinBiasParams.UpdateNodeTree(m_parNode, "MinBiasParams");

// if (!m_global_vertex_map)
// {
// m_mb_info->setIsAuAuMinimumBias(false);
Expand Down Expand Up @@ -163,6 +182,7 @@ int MinimumBiasClassifier::FillMinimumBiasInfo()
return Fun4AllReturnCodes::EVENT_OK;
}
}

// Z vertex is within range
if (std::fabs(m_vertex) > m_z_vtx_cut && minbiascheck)
{
Expand All @@ -186,6 +206,12 @@ int MinimumBiasClassifier::FillMinimumBiasInfo()
m_mbd_hit[side]++;
m_mbd_charge_sum[side] += m_mbd_pmt->get_q() * m_vertex_scale * m_centrality_scale;
}

m_MinBiasParams.set_double_param("minbias_mbd_total_charge_south", m_mbd_charge_sum[0]);
m_MinBiasParams.set_double_param("minbias_mbd_total_charge_north", m_mbd_charge_sum[1]);
m_MinBiasParams.set_double_param("minbias_vertex_scale", m_vertex_scale);
m_MinBiasParams.set_double_param("minbias_centrality_scale", m_centrality_scale);

if (Verbosity())
{
std::cout << m_mbd_charge_sum[0] << " " << m_mbd_charge_sum[1] << std::endl;
Expand All @@ -195,6 +221,7 @@ int MinimumBiasClassifier::FillMinimumBiasInfo()
if (m_box_cut && m_mbd_charge_sum[1] < m_mbd_north_cut && m_mbd_charge_sum[0] > m_mbd_south_cut && minbiascheck)
{
minbiascheck = false;
m_MinBiasParams.set_int_param("minbias_background_cut_fail", true);
// m_mb_info->setIsAuAuMinimumBias(false);
// return Fun4AllReturnCodes::EVENT_OK;
}
Expand All @@ -205,6 +232,7 @@ int MinimumBiasClassifier::FillMinimumBiasInfo()
if (m_mbd_hit[iside] < m_hit_cut && minbiascheck)
{
minbiascheck = false;
m_MinBiasParams.set_int_param("minbias_two_hit_min_fail", true);
// m_mb_info->setIsAuAuMinimumBias(false);
// return Fun4AllReturnCodes::EVENT_OK;
}
Expand All @@ -213,6 +241,7 @@ int MinimumBiasClassifier::FillMinimumBiasInfo()
if (m_zdcinfo->get_zdc_energy(iside) <= m_zdc_cut && minbiascheck)
{
minbiascheck = false;
m_MinBiasParams.set_int_param("minbias_zdc_energy_min_fail", true);
// m_mb_info->setIsAuAuMinimumBias(false);
// return Fun4AllReturnCodes::EVENT_OK;
}
Expand All @@ -221,10 +250,12 @@ int MinimumBiasClassifier::FillMinimumBiasInfo()
if ((m_mbd_charge_sum[0] + m_mbd_charge_sum[1]) > m_max_charge_cut && minbiascheck)
{
minbiascheck = false;
m_MinBiasParams.set_int_param("minbias_mbd_total_energy_max_fail", true);
// m_mb_info->setIsAuAuMinimumBias(false);
// return Fun4AllReturnCodes::EVENT_OK;
}

m_MinBiasParams.UpdateNodeTree(m_parNode, "MinBiasParams");
m_mb_info->setIsAuAuMinimumBias(minbiascheck);

return Fun4AllReturnCodes::EVENT_OK;
Expand Down Expand Up @@ -303,6 +334,7 @@ int MinimumBiasClassifier::GetNodes(PHCompositeNode *topNode)
std::cout << "no vertex map node " << std::endl;
return Fun4AllReturnCodes::ABORTRUN;
}

return Fun4AllReturnCodes::EVENT_OK;
}

Expand Down
5 changes: 5 additions & 0 deletions offline/packages/trigger/MinimumBiasClassifier.h
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Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
#ifndef TRIGGER_MINBIASCLASSIFIER_H
#define TRIGGER_MINBIASCLASSIFIER_H

#include <phparameter/PHParameters.h>
#include <fun4all/SubsysReco.h>
#include <array>
#include <limits>
Expand Down Expand Up @@ -58,6 +59,7 @@ class MinimumBiasClassifier : public SubsysReco
m_overwrite_vtx = true;
}
void setIsSim(const bool sim) { m_issim = sim; }
void set_mbd_total_charge_cut(const double max_charge_cut) { m_max_charge_cut = max_charge_cut; }

void setSpecies(MinimumBiasInfo::SPECIES spec) { m_species = spec; };

Expand Down Expand Up @@ -100,6 +102,9 @@ class MinimumBiasClassifier : public SubsysReco
double m_vertex_scale{std::numeric_limits<double>::quiet_NaN()};
float m_vertex{std::numeric_limits<float>::quiet_NaN()};
std::vector<std::pair<std::pair<float, float>, float>> m_vertex_scales{};

PHParameters m_MinBiasParams;
PHCompositeNode* m_parNode{nullptr};
};

#endif