#!/usr/bin/env python3
##########################################################################
# basf2 (Belle II Analysis Software Framework) #
# Author: The Belle II Collaboration #
# #
# See git log for contributors and copyright holders. #
# This file is licensed under LGPL-3.0, see LICENSE.md. #
##########################################################################
""" Skim list building functions for the dark sector physics working group """
import basf2 as b2
import modularAnalysis as ma
import pdg
from skim import BaseSkim, fancy_skim_header
from stdCharged import stdE, stdMu, stdPi, stdK
from stdPhotons import stdPhotons
from stdV0s import stdKshorts
import vertex as vertex
__liaison__ = "Gaurav Sharma <gaurav@physics.iitm.ac.in>"
_VALIDATION_SAMPLE = "mdst16.root"
[docs]
@fancy_skim_header
class SinglePhotonDark(BaseSkim):
"""
**Physics channel**: ee → A'γ; A' → invisible
Skim list contains single photon candidates for the dark photon to invisible final
state analysis.
"""
__authors__ = ["Sam Cunliffe", "Chris Hearty"]
__contact__ = __liaison__
__description__ = "Single photon skim list for the dark photon analysis."
__category__ = "physics, dark sector"
ApplyHLTHadronCut = False
[docs]
def load_standard_lists(self, path):
stdPhotons("all", path=path)
[docs]
def build_lists(self, path):
# start with all photons with E* above 500 MeV and decent time in
# the tracking acceptance [17, 150] degrees
ma.cutAndCopyList(
"gamma:singlePhoton_SinglePhotonDark", "gamma:all",
"useCMSFrame(E) > 0.5 and thetaInCDCAcceptance and abs(clusterTiming)<200.", path=path)
# require a region-dependent minimum energy of the candidate, matching HLT
# 0.5 GeV trigger in the inner barrel: [44, 98] degrees, 1 GeV in the barrel
# [30, 130] deg, and 2 GeV elsewhere
region_dependent = " [44 < formula(57.2957795*theta) < 98] or "
region_dependent += "[30 < formula(57.2957795*theta) < 130 and useCMSFrame(E) > 1.0] or "
region_dependent += "[useCMSFrame(E) > 2.0] "
ma.applyCuts("gamma:singlePhoton_SinglePhotonDark", region_dependent, path=path)
# require only one single photon candidate and no good tracks in the event
good_tracks = 'abs(dz) < 2.0 and abs(dr) < 0.5 and pt > 0.15' # cm, cm, GeV/c
path = self.skim_event_cuts(
f"nParticlesInList(gamma:singlePhoton_SinglePhotonDark) == 1 and nCleanedTracks({good_tracks}) == 0",
path=path
)
# check the second-most-energetic photon (above 550 MeV is unlikely to
# be beam-induced background) and veto if it's in time with our signal
# candidate -- do after the event cuts since it uses a ParticleCombiner
# and should not be done for all events (save event-processing time)
not_in_signal_list = "isInList(gamma:singlePhoton_SinglePhotonDark) < 1"
in_time = "maxWeightedDistanceFromAverageECLTime < 1"
ma.cutAndCopyList("gamma:veto_SinglePhotonDark", "gamma:all",
f"E > 0.55 and {not_in_signal_list}", path=path)
ma.rankByHighest("gamma:veto_SinglePhotonDark", "E", numBest=1, path=path)
ma.reconstructDecay("vpho:veto_SinglePhotonDark -> "
"gamma:singlePhoton_SinglePhotonDark gamma:veto_SinglePhotonDark",
in_time, path=path)
veto_additional_in_time_cluster = 'nParticlesInList(vpho:veto_SinglePhotonDark) < 1'
# final signal selection must pass the 'in-time' veto on the
# second-most-energetic cluster -- this is also an event cut, but apply
# to the list (which is anyway a maximum one candidate per event) since
# we can only call skim_event_cuts once
ma.applyCuts("gamma:singlePhoton_SinglePhotonDark", veto_additional_in_time_cluster, path=path)
return ["gamma:singlePhoton_SinglePhotonDark"]
[docs]
@fancy_skim_header
class ALP3Gamma(BaseSkim):
__authors__ = ["Michael De Nuccio"]
__description__ = (
"Neutral dark sector skim list for the ALP 3-photon analysis: "
":math:`ee\\to a(\\to\\gamma\\gamma)\\gamma`"
)
__contact__ = __liaison__
__category__ = "physics, dark sector"
ApplyHLTHadronCut = False
[docs]
def addALPToPDG(self):
"""Adds the ALP codes to the basf2 pdg instance """
pdg.add_particle('beam', 55, 999., 999., 0, 0)
pdg.add_particle('ALP', 9000006, 999., 999., 0, 0)
[docs]
def initialALP(self, path):
"""
An list builder function for the ALP decays. Part of the `ALP3Gamma` skim.
Parameters:
path (basf2.Path): the path to add the skim
Returns:
list name of the ALP decays candidates
"""
# no cuts applied on ALP
ALPcuts = ''
# applying a lab frame energy cut to the daughter photons
ma.fillParticleList(
'gamma:cdcAndMinimumEnergy',
'E >= 0.1 and thetaInCDCAcceptance',
True, path=path)
# defining the decay string
ALPchannels = ['gamma:cdcAndMinimumEnergy gamma:cdcAndMinimumEnergy']
ALPList = []
# creating an ALP from the daughter photons
for chID, channel in enumerate(ALPchannels):
mode = 'ALP:' + str(chID) + ' -> ' + channel
print(mode)
ma.reconstructDecay(mode, ALPcuts, chID, path=path)
ALPList.append('ALP:' + str(chID))
Lists = ALPList
return Lists
[docs]
def additional_setup(self, path):
self.addALPToPDG()
[docs]
def build_lists(self, path):
# applying invariant mass cut on the beam particle
beamcuts = ("InvM >= formula(0.8 * Ecms) "
"and InvM <= formula(1.05 * Ecms) and maxWeightedDistanceFromAverageECLTime <= 2")
ALPList = self.initialALP(path=path)
# applying a lab frame energy cut to the recoil photon
ma.fillParticleList("gamma:minimumEnergy", "E >= 0.1", True, path=path)
beamList = []
# reconstructing decay using the reconstructed ALP
# from previous function and adding the recoil photon
for chID, channel in enumerate(ALPList):
mode = "beam:" + str(chID) + " -> gamma:minimumEnergy " + channel
print(mode)
ma.reconstructDecay(mode, beamcuts, chID, path=path)
beamList.append("beam:" + str(chID))
return beamList
[docs]
@fancy_skim_header
class DimuonPlusMissingEnergy(BaseSkim):
"""
**Physics channel**: :math:`e^{+}e^{-} \\to \\mu^{+}\\mu^{-} \\, +` missing energy.
"""
__authors__ = ["Giacomo De Pietro"]
__description__ = (
"Dimuon + missing energy skim, needed for :math:`e^{+}e^{-} \\to \\mu^{+}\\mu^{-}"
"Z^{\\prime}; \\, Z^{\\prime} \\to \\mathrm{invisible}` and other searches."
)
__contact__ = __liaison__
__category__ = "physics, dark sector"
ApplyHLTHadronCut = False
[docs]
def load_standard_lists(self, path):
stdMu("all", path=path)
[docs]
def build_lists(self, path):
dimuon_list = []
skim_label = "forDimuonMissingEnergySkim"
dimuon_name = "Z0:" + skim_label
# Define some cuts
fromIP_cut = "[abs(dz) < 5.0] and [abs(dr) < 2.0]"
muonID_cut = "[muonID > 0.3]"
# We want exactly 2 tracks from IP
dimuon_cut = "[nCleanedTracks(" + fromIP_cut + ") < 4]"
# And the pair must have pt > 200 MeV in CMS frame
dimuon_cut += " and [useCMSFrame(pt) > 0.2]"
# Reconstruct the dimuon candidate
ma.cutAndCopyList("mu+:" + skim_label, "mu+:all", fromIP_cut + " and " + muonID_cut, path=path)
ma.reconstructDecay(dimuon_name + " -> mu+:" + skim_label + " mu-:" + skim_label, dimuon_cut, path=path)
# And return the dimuon list
dimuon_list.append(dimuon_name)
return dimuon_list
[docs]
@fancy_skim_header
class DimuonRecoilMassSquared(BaseSkim):
"""
**Physics channel**: :math:`e^{+}e^{-} \\to \\mu^{+}\\mu^{-} \\gamma`.
"""
__authors__ = ["Robin Leboucher"]
__description__ = (
"Dimuon skim, needed for :math:`e^{+}e^{-} \\to A^{\\prime} \\to \\mu^{+}\\mu^{-} (\\gamma)` "
"and other searches."
)
__contact__ = __liaison__
__category__ = "physics, dark sector"
ApplyHLTHadronCut = False
[docs]
def load_standard_lists(self, path):
stdMu("all", path=path)
[docs]
def build_lists(self, path):
dimuon_list = []
skim_label = "forDimuonRecoilMassSquared"
dimuon_name = "vpho:" + skim_label
# Define some cuts
fromIP_cut = "[abs(dz) < 5.0] and [abs(dr) < 2.0]"
muonID_cut = "[muonID > 0.3]"
# We want exactly 2 tracks from IP
dimuon_cut = "[nCleanedTracks(" + fromIP_cut + ") < 4]"
# And the recoil mass squared must be below 20 GeV^2/c^4
dimuon_cut += " and [m2Recoil < 20]"
# Reconstruct the dimuon candidate
ma.cutAndCopyList("mu+:" + skim_label, "mu+:all", fromIP_cut + " and " + muonID_cut, path=path)
ma.reconstructDecay(dimuon_name + " -> mu+:" + skim_label + " mu-:" + skim_label, dimuon_cut, path=path)
# And return the dimuon list
dimuon_list.append(dimuon_name)
return dimuon_list
[docs]
@fancy_skim_header
class ElectronMuonPlusMissingEnergy(BaseSkim):
__authors__ = ["Giacomo De Pietro"]
__description__ = (
"Electron-muon pair + missing energy skim, needed for :math:`e^{+}e^{-} \\to "
"e^{\\pm}\\mu^{\\mp} Z^{\\prime}; \\, Z^{\\prime} \\to \\mathrm{invisible}` and other "
"searches."
)
__contact__ = __liaison__
__category__ = "physics, dark sector"
ApplyHLTHadronCut = False
[docs]
def load_standard_lists(self, path):
stdE("all", path=path)
stdMu("all", path=path)
[docs]
def build_lists(self, path):
"""
**Physics channel**: :math:`e^{+}e^{-} \\to e^{\\pm}\\mu^{\\mp} \\, +` missing energy
"""
emu_list = []
skim_label = "forElectronMuonMissingEnergySkim"
emu_name = "Z0:" + skim_label
# Define some basic cuts
fromIP_cut = "[abs(dz) < 5.0] and [abs(dr) < 2.0]"
electronID_cut = "[electronID > 0.3]"
muonID_cut = "[muonID > 0.3]"
# We require that the electron points to the barrel ECL + 10 degrees
theta_cut = "[0.387 < theta < 2.421]"
# We want exactly 2 tracks from IP
emu_cut = "[nCleanedTracks(" + fromIP_cut + ") < 4]"
# And the pair must have pt > 200 MeV in CMS frame
emu_cut += " and [useCMSFrame(pt) > 0.2]"
# Reconstruct the dimuon candidate
ma.cutAndCopyList("e+:" + skim_label, "e+:all", fromIP_cut + " and " + electronID_cut + " and " + theta_cut,
path=path)
ma.cutAndCopyList("mu+:" + skim_label, "mu+:all", fromIP_cut + " and " + muonID_cut, path=path)
ma.reconstructDecay(emu_name + " -> e+:" + skim_label + " mu-:" + skim_label, emu_cut, path=path)
# And return the dimuon list
emu_list.append(emu_name)
return emu_list
[docs]
@fancy_skim_header
class LFVZpVisible(BaseSkim):
__authors__ = ["Ilya Komarov and Luigi Corona"]
__description__ = "Lepton flavour violating Z' skim, Z' to visible FS."
__contact__ = __liaison__
__category__ = "physics, dark sector"
ApplyHLTHadronCut = False
[docs]
def load_standard_lists(self, path):
stdE("all", path=path)
stdMu("all", path=path)
[docs]
def build_lists(self, path):
"""
**Physics channel**: ee --> e mu Z'; Z' --> e mu
"""
lfvzp_list = []
# Here we just want four gpood tracks to be reconstructed
track_cuts = "abs(dz) < 2.0 and abs(dr) < 0.5"
electron_id_cut = "electronID > 0.2"
muon_id_cut = "muonID > 0.2"
ma.cutAndCopyList("e+:lfvzp", "e+:all", f"[{track_cuts} and {electron_id_cut}]", path=path)
ma.cutAndCopyList("mu+:lfvzp", "mu+:all", f"[{track_cuts} and {muon_id_cut}]", path=path)
nParticlesInList_selection = "formula(nParticlesInList(mu+:lfvzp) + nParticlesInList(e+:lfvzp)) > 1"
Event_cuts_vis = f"[nCleanedTracks({track_cuts}) == 4 and {nParticlesInList_selection}]"
# Z' to lfv: fully reconstructed
LFVZpVisChannel = "e+:lfvzp mu+:lfvzp e-:all mu-:all"
ma.reconstructDecay(f"vpho:vislfvzp -> {LFVZpVisChannel}", Event_cuts_vis, path=path)
lfvzp_list.append("vpho:vislfvzp")
LFVZpVisChannel = "e+:lfvzp mu+:lfvzp e+:all mu+:all"
# Z' to lfv: part reco
ma.reconstructDecay(f"vpho:ecv_vislfvzp -> {LFVZpVisChannel}", Event_cuts_vis, path=path,
allowChargeViolation=True)
lfvzp_list.append("vpho:ecv_vislfvzp")
return lfvzp_list
[docs]
@fancy_skim_header
class EGammaControlDark(BaseSkim):
"""
**Physics channel**: ee → eγ
"""
__authors__ = ["Sam Cunliffe", "Torben Ferber"]
__description__ = (
"Electron-gamma skim list for study of the ee backgrounds at high dark "
"photon mass, as part of the dark photon analysis"
)
__contact__ = __liaison__
__category__ = "physics, dark sector, control-channel"
ApplyHLTHadronCut = False
[docs]
def load_standard_lists(self, path):
stdPhotons("all", path=path)
stdE("all", path=path)
[docs]
def build_lists(self, path):
# long-winded names for the particle lists to avoid clash
internal_skim_label = "forEGammaSkim"
skim_output_label = "EGammaControl"
# want exactly 1 good quality track in the event
# (not one good electron, one good anything)
phys_perf_good_track = 'abs(dr) < 1 and abs(dz) < 3 and pt > 0.15' # cm, cm, GeV/c
one_good_track = f'[nCleanedTracks({phys_perf_good_track}) == 1]'
# exactly 1 good photon in the event
photon_energy_cut = '0.45'
good_photon = 'thetaInCDCAcceptance' +\
f' and useCMSFrame(E) > {photon_energy_cut}'
ma.cutAndCopyList(f'gamma:{internal_skim_label}', 'gamma:all', good_photon, path=path)
one_good_photon = f'[eventCached(nParticlesInList(gamma:{internal_skim_label})) == 1]'
# apply the event-level cuts
event_cuts = f'{one_good_photon} and {one_good_track}'
path = self.skim_event_cuts(event_cuts, path=path)
# fill electron lists (tighter than previous selection)
good_track_w_hie_cluster_match = f'{phys_perf_good_track} and clusterE > 2.0'
ma.cutAndCopyList(f'e+:{internal_skim_label}', 'e+:all', good_track_w_hie_cluster_match, path=path)
# reconstruct decay
ma.reconstructDecay(
f'vpho:{skim_output_label} -> e+:{internal_skim_label} gamma:{internal_skim_label}',
'', 1, allowChargeViolation=True, path=path)
return [f"vpho:{skim_output_label}"]
[docs]
@fancy_skim_header
class GammaGammaControlKLMDark(BaseSkim):
"""
**Physics channel**: ee → γγ
.. Note::
This skim can retain a lot of γγ events.
In case this becomes unacceptable, we provide prescale parameters.
Prescales are given in standard trigger convention (reciprocal),
so prescale of 100 is 1% of events kept, etc.
.. Tip::
To prescale the higher-energy probe photons by 10%:
>>> from skim.WGs.dark import GammaGammaControlKLMDark
>>> Skim = GammaGammaControlKLMDark(prescale_high=10)
>>> Skim(path) # Add list-building function and uDST output module to path
>>> b2.process(path)
"""
__authors__ = ["Sam Cunliffe", "Miho Wakai"]
__description__ = (
"Gamma gamma skim list for study of the KLM efficiency as part of "
"the dark photon analysis"
)
__contact__ = __liaison__
__category__ = "physics, dark sector, control-channel"
ApplyHLTHadronCut = False
[docs]
def load_standard_lists(self, path):
stdPhotons("all", path=path)
TestSampleProcess = "gg"
def __init__(self, prescale_high=1, prescale_low=1, **kwargs):
"""
Parameters:
prescale_high (int): the prescale for more energetic probe photon
prescale_low (int): the prescale for a less energetic probe photon
**kwargs: Passed to constructor of `BaseSkim`.
"""
# Redefine __init__ to allow for additional optional arguments
super().__init__(**kwargs)
self.prescale_high = prescale_high
self.prescale_low = prescale_low
[docs]
def build_lists(self, path):
# unpack prescales and convert from trigger convention to a number we can
# compare with a float
prescale_high, prescale_low = self.prescale_high, self.prescale_low
if (prescale_high, prescale_low) != (1, 1):
b2.B2INFO(
"GammaGammaControlKLMDarkList is prescaled. "
f"prescale_high={prescale_high}, prescale_low={prescale_low}"
)
prescale_high = str(float(1.0 / prescale_high))
prescale_low = str(float(1.0 / prescale_low))
# no good (IP-originating) tracks in the event
good_tracks = "abs(dz) < 2.0 and abs(dr) < 0.5 and pt > 0.2" # cm, cm, GeV/c
no_good_tracks = f"nCleanedTracks({good_tracks}) < 1"
# get two most energetic photons in the event (must be at least 100 MeV
# and not more than 7 GeV)
ma.cutAndCopyList(
"gamma:controlKLM_GammaGammaControlKLMDark", "gamma:all", "0.1 < useCMSFrame(clusterE) < 7", path=path)
ma.rankByHighest("gamma:controlKLM_GammaGammaControlKLMDark", "useCMSFrame(clusterE)", numBest=2, path=path)
# will build pairwise candidates from the gamma:controlKLM list:
# vpho -> gamma gamma
# the more energetic must be at least 4.5 GeV
tag_daughter = "daughterHighest(useCMSFrame(clusterE)) > 4.5"
# note that sometimes the probe will also fulfill this criteria, but the
# candidate list will *not* be double-counted: these extra candidates need
# to be added back offline
# apply prescales to the less energetic daughter: compare to the eventwise random number
probe_high = f"[daughterLowest(useCMSFrame(clusterE)) > 4.5] and [eventRandom < {prescale_high}]"
probe_low = f"[daughterLowest(useCMSFrame(clusterE)) < 4.5] and [eventRandom < {prescale_low}]"
prescale = f"[ {probe_high} ] or [ {probe_low} ]"
# ~back-to-back in phi in the CMS (3.1066... radians = 178 degrees)
delta_phi_cut = "abs(daughterDiffOf(0, 1, useCMSFrame(phi))) > 3.1066860685499065"
# sum theta in the cms 178 --> 182 degrees
sum_th = "daughterSumOf(useCMSFrame(theta))"
sum_th_cut = f"3.1066860685499065 < {sum_th} < 3.1764992386296798"
# now build and return the candidates passing the AND of our cuts
cuts = [no_good_tracks, tag_daughter, prescale, delta_phi_cut, sum_th_cut]
cuts = " and ".join([f"[ {cut} ]" for cut in cuts])
ma.reconstructDecay(
"vpho:singlePhotonControlKLM -> "
"gamma:controlKLM_GammaGammaControlKLMDark gamma:controlKLM_GammaGammaControlKLMDark",
cuts, path=path)
return ["vpho:singlePhotonControlKLM"]
[docs]
@fancy_skim_header
class DielectronPlusMissingEnergy(BaseSkim):
"""
**Physics channel**: :math:`e^{+}e^{-} \\to e^{+}e^{-}`
Warning:
This skim is currently deactivated, since the retention rate is too high.
"""
__authors__ = "Giacomo De Pietro"
__description__ = (
"Dielectron skim, needed for :math:`e^{+}e^{-} \\to A^{\\prime} h^{\\prime};`"
":math:`A^{\\prime} \\to e^{+}e^{-}; \\, h^{\\prime} \\to \\mathrm{invisible}` and other searches."
)
__contact__ = __liaison__
__category__ = "physics, dark sector"
ApplyHLTHadronCut = False
[docs]
def load_standard_lists(self, path):
stdE("all", path=path)
TestSampleProcess = "mumu"
[docs]
def build_lists(self, path):
dielectron_list = []
skim_label = "forDielectronMissingEnergySkim"
dielectron_name = f"Z0:{skim_label}"
# Define some basic cuts
fromIP_cut = "[abs(dz) < 5.0] and [abs(dr) < 2.0]"
electronID_cut = "[electronID > 0.2]"
# We require that the electron points to the barrel ECL + 10 degrees
theta_cut = "[0.387 < theta < 2.421]"
# We want exactly 2 tracks from IP
dielectron_cut = f"[nCleanedTracks({fromIP_cut}) == 2]"
# And the pair must have pt > 200 MeV in CMS frame
dielectron_cut += " and [useCMSFrame(pt) > 0.2]"
# Reconstruct the dielectron candidate
electron_cuts = " and ".join([fromIP_cut, electronID_cut, theta_cut])
ma.cutAndCopyList(f"e+:{skim_label}", "e+:all", electron_cuts, path=path)
ma.reconstructDecay(f"{dielectron_name} -> e+:{skim_label} e-:{skim_label}", dielectron_cut, path=path)
# And return the dielectron list
dielectron_list.append(dielectron_name)
return dielectron_list
[docs]
@fancy_skim_header
class RadBhabhaV0Control(BaseSkim):
"""
Control sample: :math:`e^{+}e^{-} \\to e^{+}e^{-}V^{0};`"
"""
__authors__ = "Savino Longo"
__description__ = (
"iDM control sample skim. :math:`e^{+}e^{-} \\to e^{+}e^{-}V^{0};`"
)
__contact__ = __liaison__
__category__ = "physics, dark sector"
ApplyHLTHadronCut = False
[docs]
def load_standard_lists(self, path):
stdPhotons("all", path=path)
stdE("all", path=path)
[docs]
def build_lists(self, path):
# require Bhabha tracks are high p and E/p is consistent with e+/e-
BhabhaTrackCuts = ('abs(dr)<0.5 and abs(dz)<2 and pt>0.2 and 0.8<clusterEoP<1.2 and p>1.0 '
'and clusterReg==2 and nCDCHits>4')
BhabhaSystemCuts = '4<M<10 and 0.5<pRecoilTheta<2.25'
V0TrackCuts = 'nCDCHits>4 and p<3.0'
V0Cuts = 'dr>0.5'
PhotonVetoCuts = 'p>1.0' # event should have no high E photons
ma.cutAndCopyList("gamma:HighEGammaVeto_RadBhabhaV0Control", "gamma:all", PhotonVetoCuts, path=path)
ma.cutAndCopyList("e+:BhabhaTrack_RadBhabhaV0Control", "e+:all", BhabhaTrackCuts, path=path)
ma.cutAndCopyList("e+:V0Track_RadBhabhaV0Control", "e+:all", V0TrackCuts, path=path)
ma.reconstructDecay("vpho:BhabhaSysyem -> e+:BhabhaTrack_RadBhabhaV0Control e-:BhabhaTrack_RadBhabhaV0Control",
BhabhaSystemCuts, path=path)
ma.reconstructDecay("vpho:V0System -> e+:V0Track_RadBhabhaV0Control e-:V0Track_RadBhabhaV0Control", '',
path=path)
vertex.treeFit('vpho:V0System', conf_level=0.0, path=path)
ma.applyCuts('vpho:V0System', V0Cuts, path=path)
ma.reconstructDecay('vpho:Total -> vpho:BhabhaSysyem vpho:V0System', '', path=path)
eventCuts = ('nParticlesInList(gamma:HighEGammaVeto_RadBhabhaV0Control)<1 and '
'nParticlesInList(vpho:Total)>0')
path = self.skim_event_cuts(eventCuts, path=path)
return ["vpho:Total"]
[docs]
@fancy_skim_header
class InelasticDarkMatter(BaseSkim):
"""
Skim list contains events with no tracks from IP, no high E tracks and only one high E photon.
"""
__authors__ = ["Savino Longo"]
__contact__ = __liaison__
__description__ = "iDM list for the iDM analysis."
__category__ = "physics, dark sector"
ApplyHLTHadronCut = False
[docs]
def load_standard_lists(self, path):
stdPhotons("all", path=path)
stdE("all", path=path)
[docs]
def build_lists(self, path):
IPtrack = 'abs(dr) < 0.05' # cm
HighEtrack = 'useCMSFrame(p)>3.0' # GeV
ma.cutAndCopyList("e+:TrackFromIP_InelasticDarkMatter", "e+:all", IPtrack, path=path)
ma.cutAndCopyList("e+:HighEnergyTrack_InelasticDarkMatter", "e+:all", HighEtrack, path=path)
signalPhoton = "[clusterReg==2 and useCMSFrame(E) > 1.0] or "
signalPhoton += "[clusterReg == 1 and useCMSFrame(E) > 2.0] or " # fwd
signalPhoton += "[clusterReg == 3 and useCMSFrame(E) > 2.0] or " # bwd
signalPhoton += "[clusterReg == 11 and useCMSFrame(E) > 2.0] or " # between fwd and barrel
signalPhoton += "[clusterReg == 13 and useCMSFrame(E) > 2.0] " # between bwd and barrel
photonVetoHE1 = 'useCMSFrame(p) > 0.6'
photonVetoHE3 = 'p>0.5'
ma.cutAndCopyList("gamma:ISR_InelasticDarkMatter", "gamma:all", signalPhoton, path=path)
ma.cutAndCopyList("gamma:HighEnergyPhotons_InelasticDarkMatter", "gamma:all", photonVetoHE1, path=path)
ma.cutAndCopyList("gamma:MediumEnergyPhotons_InelasticDarkMatter", "gamma:all", photonVetoHE3, path=path)
idmEventCuts = ('nParticlesInList(gamma:ISR_InelasticDarkMatter)==1 and '
'nParticlesInList(e+:TrackFromIP_InelasticDarkMatter)==0 and '
'nParticlesInList(e+:HighEnergyTrack_InelasticDarkMatter) == 0 and '
'nParticlesInList(gamma:HighEnergyPhotons_InelasticDarkMatter) == 1 and '
'nParticlesInList(gamma:MediumEnergyPhotons_InelasticDarkMatter) < 4 and '
'HighLevelTrigger == 1')
path = self.skim_event_cuts(idmEventCuts, path=path)
return ['gamma:ISR_InelasticDarkMatter']
[docs]
@fancy_skim_header
class BtoKplusLLP(BaseSkim):
"""
Skim to select B+ decays to a K+ from the IP and a LLP with a vertex displaced from the
IR decaying to two charged tracks.
"""
__authors__ = ["Sascha Dreyer"]
__contact__ = __liaison__
__description__ = (
"B+ to K+ LLP analysis skim :math:`e^{+}e^{-} \\to \\Upsilon(4s) \\to [B^{+} \\to K^{+} LLP]B^{-}`"
)
__category__ = "physics, dark sector"
ApplyHLTHadronCut = False
[docs]
def load_standard_lists(self, path):
stdPi("all", path=path)
stdK("all", path=path)
stdE("all", path=path)
stdMu("all", path=path)
[docs]
def build_lists(self, path):
btoksLbl = '_btoks'
minDisplacementCut = "[dr > 0.05]"
ma.reconstructDecay("vpho:LLP_e" + btoksLbl + " -> e+:all e-:all", "", path=path)
ma.reconstructDecay("vpho:LLP_mu" + btoksLbl + " -> mu+:all mu-:all", "", path=path)
ma.reconstructDecay("vpho:LLP_pi" + btoksLbl + " -> pi+:all pi-:all", "", path=path)
ma.reconstructDecay("vpho:LLP_K" + btoksLbl + " -> K+:all K-:all", "", path=path)
ma.copyLists(outputListName="vpho:LLP" + btoksLbl,
inputListNames=["vpho:LLP_e" + btoksLbl, "vpho:LLP_mu" + btoksLbl,
"vpho:LLP_pi" + btoksLbl, "vpho:LLP_K" + btoksLbl],
path=path)
vertex.treeFit("vpho:LLP" + btoksLbl, conf_level=0, updateAllDaughters=True, path=path)
ma.applyCuts("vpho:LLP" + btoksLbl, minDisplacementCut, path=path)
ipKaon = "[pt > 0.1] and [abs(dr) < 0.5] and [abs(dz) < 2.0]"
ma.cutAndCopyList("K+:TrackFromIP_BtoKplusLLP" + btoksLbl, "K+:all", ipKaon, path=path)
kinematicCuts = "[Mbc > 5.20] and [abs(deltaE) < 0.25]"
ma.reconstructDecay("B+:b" + btoksLbl + " -> K+:TrackFromIP_BtoKplusLLP" + btoksLbl + " vpho:LLP" + btoksLbl,
kinematicCuts, path=path)
return ["B+:b" + btoksLbl]
[docs]
@fancy_skim_header
class InelasticDarkMatterWithDarkHiggs(BaseSkim):
"""
Skim list contains events with at least one displaced vertex and no additional unused tracks from the IP.
"""
__authors__ = ["Patrick Ecker"]
__contact__ = __liaison__
__description__ = "Skim for the inelastic Dark Matter with a Dark Higgs analysis."
__category__ = "physics, dark sector"
ApplyHLTHadronCut = False
[docs]
def addParticlesToPDG(self):
"""Adds the particle codes to the basf2 pdg instance """
pdg.add_particle("chi2", 52, 0, 0, 0, 0)
# Abstract beam object to combine the two vertices (particles)
pdg.add_particle("beam", 9999, 0, 0, 0, 0)
[docs]
def load_standard_lists(self, path):
stdE("all", path=path)
stdMu("all", path=path)
[docs]
def additional_setup(self, path):
self.addParticlesToPDG()
[docs]
def build_lists(self, path):
skim_str = "InelasticDarkMatterWithDarkHiggs"
n_track_event_cut = "[nCleanedTracks([thetaInCDCAcceptance] and [dr < 0.5] and [abs(dz) < 2]) < 5]"
track_requirements = "[formula(nPXDHits + nSVDHits + nCDCHits) > 20]"
ma.cutAndCopyList(
f"e+:{skim_str}",
"e+:all",
f"[{track_requirements} and {n_track_event_cut}]",
path=path)
ma.cutAndCopyList(
f"mu+:{skim_str}",
"mu+:all",
f"[{track_requirements} and {n_track_event_cut}]",
path=path)
ma.reconstructDecay(
decayString=f"A0:{skim_str} -> mu+:{skim_str} mu-:{skim_str}",
cut="",
path=path
)
vertex.treeFit(
list_name=f"A0:{skim_str}",
conf_level=0,
updateAllDaughters=True,
path=path,
)
ma.applyCuts(
list_name=f"A0:{skim_str}",
cut="chiProb > 0.001",
path=path,
)
ma.reconstructDecay(
decayString=f"chi2:{skim_str} -> e+:{skim_str} e-:{skim_str}",
cut="",
path=path
)
vertex.treeFit(
list_name=f"chi2:{skim_str}",
conf_level=0,
updateAllDaughters=True,
path=path,
)
ma.applyCuts(
list_name=f"chi2:{skim_str}",
cut="chiProb > 0.001",
path=path,
)
dr_cut = "[daughter(0, distance) > 0.05] or [daughter(1, distance) > 0.05]"
ma.reconstructDecay(
decayString=f"beam:{skim_str} -> A0:{skim_str} chi2:{skim_str}",
cut=f"[{dr_cut}]",
path=path,
)
ma.buildRestOfEvent(
target_list_name=f"beam:{skim_str}",
fillWithMostLikely=True,
path=path,
)
ma.appendROEMasks(
list_name=f"beam:{skim_str}",
mask_tuples=[
("std_roe",
"thetaInCDCAcceptance and dr < 0.5 and abs(dz) < 2",
"[clusterNHits>1.5] and thetaInCDCAcceptance and [[clusterReg==1 and E>0.08]" +
"or [clusterReg==2 and E>0.07] or [clusterReg==3 and E>0.1]] and [abs(clusterTiming) < 200]")],
path=path,
)
ma.applyCuts(
list_name=f"beam:{skim_str}",
cut="roeNeextra(std_roe) < 2.0",
path=path,
)
return [f"beam:{skim_str}"]
[docs]
@fancy_skim_header
class AA2uuuu(BaseSkim):
"""
Searching dark photons in 4-muon final state.
Reconstructed a muon pair to a dark photon.
"""
__description__ = ":math:`ee\\to A^{\\prime}A^{\\prime}\\nu_{D}\\nu_{D}\\to \\mu\\mu\\mu\\mu`"
__category__ = "physics, dark sector"
__authors__ = ["Chanyoung LEE"]
__contact__ = __liaison__
ApplyHLTHadronCut = False
[docs]
def load_standard_lists(self, path):
stdMu("all", path=path)
[docs]
def build_lists(self, path):
llcut_PID = "[muonID > 0.8]"
llcut_acceptance = "[dr < 0.5] and [abs(dz) < 2]"
llcut_acceptance += " and [inKLMAcceptance == 1]"
llcut_acceptance += " and [inCDCAcceptance == 1]"
path = self.skim_event_cuts(f"nCleanedTracks({llcut_acceptance}) >= 4", path=path)
ma.cutAndCopyList("mu+:over08", "mu+:all", llcut_PID, path=path)
ma.reconstructDecay(decayString="vpho:rec -> mu+:over08 mu-:over08", cut="", path=path)
vertex.kFit("vpho:rec", 0.0, path=path)
ma.reconstructDecay(decayString="Upsilon(4S):rec -> vpho:rec vpho:rec", cut="", path=path)
return ["Upsilon(4S):rec"]
[docs]
@fancy_skim_header
class DimuonPlusVisibleDarkHiggs(BaseSkim):
"""
**Physics channel**: e+e- -> A'h', A'-> mu+mu-, hp -> tr+tr-
Skim list contains candidates for the visible dark Higgs produced in association with a a prompt muon-pair.
"""
__authors__ = ["Luigi Corona"]
__contact__ = __liaison__
__description__ = "Skim for the visible dark higgs analysis"
__category__ = "physics, dark sector"
ApplyHLTHadronCut = False
[docs]
def addParticlesToPDG(self):
"""Adds the particle codes to the basf2 pdg instance """
pdg.add_particle('Ap', 1802060053, 999., 999., 0, 2)
[docs]
def load_standard_lists(self, path):
stdPi("all", path=path)
stdMu("all", path=path)
[docs]
def additional_setup(self, path):
self.addParticlesToPDG()
[docs]
def build_lists(self, path):
skim_str = 'skimDimuonPlusVisibleDarkHiggs'
darkPhoton_str = 'darkPhoton'
track_selection = '[abs(dr) < 0.5] and [abs(dz) < 2]'
muon_pid_selection = '[muonID > 0.2]'
ma.cutAndCopyList(
f"mu+:{darkPhoton_str}_DimuonPlusVisibleDarkHiggs",
"mu+:all",
f"[{track_selection} and {muon_pid_selection}]",
path=path)
ma.reconstructDecay(
decayString=f'Ap:{skim_str} -> mu+:{darkPhoton_str}_DimuonPlusVisibleDarkHiggs '
f'mu-:{darkPhoton_str}_DimuonPlusVisibleDarkHiggs',
cut='',
path=path)
ma.reconstructRecoil(f'Ap:recoil -> Ap:{skim_str}',
cut='',
path=path)
ma.reconstructDecay(
decayString=f'A0:{skim_str} -> pi+:all pi-:all',
cut='',
path=path)
mrecoil_cut = "[daughter(0, mRecoil) < 8.5]"
ma.reconstructDecay(
decayString=f'vpho:{skim_str} -> Ap:{skim_str} A0:{skim_str}',
cut=f'{mrecoil_cut}',
path=path)
return [f'vpho:{skim_str}']
[docs]
@fancy_skim_header
class DielectronPlusVisibleDarkHiggs(BaseSkim):
"""
**Physics channel**: e+e- -> A'h', A'-> e+e-, hp -> tr+tr-
Skim list contains candidates for the visible dark Higgs produced in association with a prompt electron-pair.
"""
__authors__ = ["Luigi Corona"]
__contact__ = __liaison__
__description__ = "Skim for the visible dark higgs analysis"
__category__ = "physics, dark sector"
ApplyHLTHadronCut = False
[docs]
def addParticlesToPDG(self):
"""Adds the particle codes to the basf2 pdg instance """
pdg.add_particle('ap', 1802070053, 999., 999., 0, 2)
[docs]
def load_standard_lists(self, path):
stdPi("all", path=path)
stdE("all", path=path)
[docs]
def additional_setup(self, path):
self.addParticlesToPDG()
[docs]
def build_lists(self, path):
skim_str = 'skimDielectronPlusVisibleDarkHiggs'
darkPhoton_str = 'darkPhoton'
track_selection = '[abs(dr) < 0.5] and [abs(dz) < 2]'
electron_pid_selection = '[electronID > 0.2]'
ma.cutAndCopyList(
f"e+:{darkPhoton_str}_DielectronPlusVisibleDarkHiggs",
"e+:all",
f"[{track_selection} and {electron_pid_selection}]",
path=path)
ma.reconstructDecay(
decayString=f'ap:{skim_str} -> e+:{darkPhoton_str}_DielectronPlusVisibleDarkHiggs '
f'e-:{darkPhoton_str}_DielectronPlusVisibleDarkHiggs',
cut='',
path=path)
ma.reconstructRecoil(f'ap:recoil -> ap:{skim_str}',
cut='',
path=path)
ma.reconstructDecay(
decayString=f'A0:{skim_str} -> pi+:all pi-:all',
cut='',
path=path)
mrecoil_cut = "[daughter(0, mRecoil) < 8.5]"
ma.reconstructDecay(
decayString=f'vpho:{skim_str} -> ap:{skim_str} A0:{skim_str}',
cut=f'{mrecoil_cut}',
path=path)
return [f'vpho:{skim_str}']
[docs]
@fancy_skim_header
class DarkShower(BaseSkim):
"""
Skim list contains events with only one displaced vertex and a maximum of one other good track.
"""
__authors__ = ["Miho Wakai"]
__contact__ = __liaison__
__description__ = (
"Skim for the dark shower analysis. "
"We are reconstructing the displaced vertex as a :math:`e^+e^- \\to K_s(\\to \\pi^+ \\pi^-)`"
)
__category__ = "physics, dark sector"
ApplyHLTHadronCut = False
[docs]
def load_standard_lists(self, path):
stdPi("all", path=path)
[docs]
def build_lists(self, path):
skim_str = "DarkShower"
n_track_event_cut = "[nCleanedTracks([thetaInCDCAcceptance] and [p > 0.15] and [abs(dz) < 10] ) <= 3]"
track_requirements = "[pt > 0.1] and [nCDCHits >= 5]"
ma.cutAndCopyList(
f"pi+:{skim_str}",
"pi+:all",
f"[{track_requirements} and {n_track_event_cut}]",
path=path)
ma.reconstructDecay(
decayString=f"K_S0:{skim_str} -> pi+:{skim_str} pi-:{skim_str}",
cut="",
path=path
)
vertex.treeFit(
list_name=f"K_S0:{skim_str}",
conf_level=0,
updateAllDaughters=True,
path=path
)
ma.applyCuts(
list_name=f"K_S0:{skim_str}",
cut="[dr > 0.2] and [significanceOfDistance > 10] and [cosAngleBetweenMomentumAndVertexVector > 0.950212931632136]",
path=path
)
path = self.skim_event_cuts(f"[nParticlesInList(K_S0:{skim_str}) == 1]", path=path)
ma.buildRestOfEvent(
target_list_name=f"K_S0:{skim_str}",
fillWithMostLikely=True,
path=path
)
ma.appendROEMasks(
list_name=f"K_S0:{skim_str}",
mask_tuples=[
("ds_roe",
'', # no track cuts
"formula(clusterTiming/clusterErrorTiming) < 2 and minC2TDist > 50" +
" and thetaInCDCAcceptance" +
" and [[clusterReg==1 and E>0.1] or [clusterReg==2 and E>0.060] or [clusterReg==3 and E>0.150]]")],
path=path
)
ma.applyCuts(
list_name=f"K_S0:{skim_str}",
cut="roeNeextra(ds_roe) < 1.5",
path=path
)
return [f"K_S0:{skim_str}"]
[docs]
@fancy_skim_header
class BtoK_ALP2Gamma(BaseSkim):
"""
**Physics channel**: :math:`B \\to K^{(*)}a(\\to \\gamma \\gamma)`
**Cuts applied:**
* Kaons:BtoK_ALP2Gamma -> ``kaonID > 0.1``, ``dr < 3.0``, ``abs(dz) < 4.0``
* Pions:BtoK_ALP2Gamma-> ``pionID > 0.1``, ``dr < 3.0``, ``abs(dz) < 4.0``
* Photons:BtoK_ALP2Gamma-> ``E > 0.05``
* A0 candidate: daughter(0,E) > daughter(1,E)
* K*0/K*+: 0.8 < M < 1.0
* B candidates: Mbc > 5.20, abs(deltaE) < 1.0
"""
__authors__ = ["Hyuna Kim"]
__contact__ = __liaison__
__description__ = (
"Dark-sector skim selecting :math:`B \\to K^{(*)}a(\\to \\gamma \\gamma)` "
"candidates by reconstructing A0->gamma gamma, K*->Kpi resonances, and B meson decay chains."
)
__category__ = "physics, dark sector"
ApplyHLTHadronCut = False
[docs]
def load_standard_lists(self, path):
# from stdV0s import stdKshorts
stdKshorts(path=path)
[docs]
def build_lists(self, path):
kaons = (
'K+:BtoK_ALP2Gamma',
'kaonID > 0.1 and dr < 3.0 and abs(dz) < 4.0'
)
pions = (
'pi+:BtoK_ALP2Gamma',
'pionID > 0.1 and dr < 3.0 and abs(dz) < 4.0'
)
photons = (
'gamma:g_BtoK_ALP2Gamma',
'[E > 0.05]'
)
ma.fillParticleLists([kaons, pions, photons], path=path)
ma.cutAndCopyList(
"K_S0:BtoK_ALP2Gamma",
"K_S0:merged",
cut='',
path=path)
ma.reconstructDecay(
'A0:rec_BtoK_ALP2Gamma -> gamma:g_BtoK_ALP2Gamma gamma:g_BtoK_ALP2Gamma',
cut='[daughter(0,E) > daughter(1,E)]',
path=path
)
ma.reconstructDecay(
'K*0:BtoK_ALP2Gamma -> K-:BtoK_ALP2Gamma pi+:BtoK_ALP2Gamma',
cut='0.8 < M < 1.0',
path=path
)
ma.reconstructDecay(
'K*+:BtoK_ALP2Gamma -> K_S0:BtoK_ALP2Gamma pi+:BtoK_ALP2Gamma',
cut='0.8 < M < 1.0',
path=path
)
ma.reconstructDecay(
'B+:B2K+_ALP2Gamma -> K+:BtoK_ALP2Gamma A0:rec_BtoK_ALP2Gamma',
cut='[Mbc > 5.20] and [abs(deltaE) < 1.0]',
path=path
)
ma.reconstructDecay(
'B+:B2K_ALP2Gamma -> K*+:BtoK_ALP2Gamma A0:rec_BtoK_ALP2Gamma',
cut='[Mbc > 5.20] and [abs(deltaE) < 1.0]',
path=path
)
ma.reconstructDecay(
'B0:B2KS_ALP2Gamma -> K_S0:BtoK_ALP2Gamma A0:rec_BtoK_ALP2Gamma',
cut='[Mbc > 5.20] and [abs(deltaE) < 1.0]',
path=path
)
ma.reconstructDecay(
'B0:B2K0_ALP2Gamma -> K*0:BtoK_ALP2Gamma A0:rec_BtoK_ALP2Gamma',
cut='[Mbc > 5.20] and [abs(deltaE) < 1.0]',
path=path
)
return [
"B+:B2K+_ALP2Gamma",
"B+:B2K_ALP2Gamma",
"B0:B2KS_ALP2Gamma",
"B0:B2K0_ALP2Gamma"
]
[docs]
@fancy_skim_header
class TopologicalDarkPion(BaseSkim):
"""
**Physics channel**: :math:`e^{+}e^{-} \\to \\pi^{0}\\chi_{1} \\chi_{2}`
**Decay Modes**: :math:`\\pi^{0}\\to \\gamma \\gamma`
Cuts applied:
* ``2 std_all photon with thetaInCDCAcceptance and E > 0.04 GeV and -200 ns < clusterTiming < 200 ns``
* ``pi0 0.09 GeV/c^2 < InvM < 1 GeV/c^2``
* ``daughters opening angle in CMS frame < 80 degrees``
* ``daughter highest E and highest Ecms > 0.7 GeV``
* ``0 < nParticlesInList(pi0) < 4``
* ``no track [abs(dz) < 2 cm and pt > 0.3 GeV/c] or [abs(dz) < 2 cm and p > 0.4GeV/c]``
* ``no extra photon Ecms > 1 GeV``
* ``total energy of pi0 daughters in CMS frame < 7 GeV``
Note:
This skim uses `skim.standardlists.charm.loadStdD0_Kpipi0`, where the
:math:`\\overline{D}{}^{0}` channel is defined.
"""
__authors__ = ["Guorui Liu"]
__description__ = (
"Single pi0 skim, needed for :math:`e^{+}e^{-} \\to \\gamma \\to \\pi^{0}\\chi_{1} \\chi_{2}` "
"and other searches."
)
__contact__ = __liaison__
__category__ = "physics, dark sector"
ApplyHLTHadronCut = False
[docs]
def load_standard_lists(self, path):
stdPhotons("all", path=path)
[docs]
def build_lists(self, path):
skim_label = "ForTopologicalDarkPion"
# cut on daughter photon
daughter_acc_E = '[thetaInCDCAcceptance and E > 0.04]'
daughter_timing = '[-200 < clusterTiming < 200]'
daughter_cut = f'{daughter_acc_E} and {daughter_timing}'
# cut on InvM
pi0_invM = '[0.09 < InvM < 1]'
# cuts on opening angle between pi0 daughters
import ROOT
opening_angle_value = 80 * ROOT.TMath.DegToRad()
opening_angle = f'[useCMSFrame(daughterAngle(0,1)) < {opening_angle_value}]'
# cut on pi0 higher energy daughter
highE_daughter = '[[daughterHighest(useCMSFrame(E)) > 0.7] and [daughterHighest(E) > 0.7]]'
# Reconstruct pi0 candidate
ma.cutAndCopyList(f'gamma:photon{skim_label}', 'gamma:all', daughter_cut, path=path)
ma.reconstructDecay(f"pi0:pi0{skim_label} -> gamma:photon{skim_label} gamma:photon{skim_label}",
cut=f"{pi0_invM} and {opening_angle} and {highE_daughter}", path=path)
# event cut on track and number of pi0
no_good_track = "[nCleanedTracks([abs(dz) < 2 and pt > 0.3] or [abs(dz) < 2 and p > 0.4]) ==0]"
one_three_pi0 = f"[ 0 < nParticlesInList(pi0:pi0{skim_label}) < 4]"
# event cut on extra photon
extra_CMSE = '[useCMSFrame(E) > 1]'
ma.cutAndCopyList(
f'gamma:exPhoton{skim_label}',
'gamma:all',
f'isDescendantOfList(pi0:pi0{skim_label}, 1)!=1',
path=path)
ma.applyCuts(f'gamma:exPhoton{skim_label}', extra_CMSE, path=path)
no_true_extra_photon = f"[nParticlesInList(gamma:exPhoton{skim_label})==0]"
# event cut on total CMS energy of daughter candidates
ma.cutAndCopyList(
f'gamma:daughter{skim_label}',
'gamma:all',
f'isDescendantOfList(pi0:pi0{skim_label}, 1)==1',
path=path)
total_daughter_Ecms = f'[useCMSFrame(totalEnergyOfParticlesInList(gamma:daughter{skim_label})) < 7]'
event_cuts = f'{no_good_track} and {one_three_pi0} and {no_true_extra_photon} and {total_daughter_Ecms}'
path = self.skim_event_cuts(event_cuts, path=path)
# And return the pi0 list
return [f'pi0:pi0{skim_label}']
