Functions
tuple[list[str], list[int]]	GetGoodAndBadRuns (startDate, endDate)

None	addRuns (goodRuns, int Nstart=0)

None	YandexProd (startDate, endDate)

None	addAllHistograms ()

None	compactifyCascade (cycle)

None	compactify (bool\|str charm, runMin=0, runMax=0, checkOnly=False)

None	makeHistos (str rfile)

None	makePrintout ()

None	removeStupidFiles ()

None	check4DoubleRuns ()

Variables
ROOT	pdg = ROOT.TDatabasePDG()

bool	charm = False

str	prod = "1GeV"

str	globalPath = "/eos/experiment/ship/skygrid/background-prod-2018-1gev/"

str	fnames = "pythia8_Geant4_1_1.0.root"

str	ecut = "1.0"

dict	hunbiased = {}

dict	hbiased = {}

sys	runMin = sys.argv[1]

sys	runMax = sys.argv[2]

	else :

Function Documentation

◆ addAllHistograms()

None compactingBackgroundProduction.addAllHistograms ( )

Definition at line 160 of file compactingBackgroundProduction.py.

def addAllHistograms() -> None:
    h = {}
    ecut = "10.0"
    Nmax = 45000
    path = os.environ["EOSSHIP"] + "/eos/experiment/ship/data/Mbias/background-prod-2018/"
    ut.bookCanvas(h, key="canvas", title="debug", nx=1600, ny=1200, cx=1, cy=1)
    h["canvas"].SetLogy(1)
    for i in range(0, Nmax, 1000):
        fname = "pythia8_Geant4_" + ecut + "_c" + str(i) + ".root"
        ut.readHists(h, path + fname)
        if i == 0:
            h[1012].Draw()
    for x in h:
        if h[x].GetName().find("proj") > 0:
            h.pop(x)
    ut.writeHists(h, "pythia8_Geant4_" + ecut + "_c" + str(Nmax) + "-histos.root")
 
 

◆ addRuns()

None compactingBackgroundProduction.addRuns	(		goodRuns,
		int	Nstart = `0`
	)

Definition at line 100 of file compactingBackgroundProduction.py.

def addRuns(goodRuns, Nstart: int = 0) -> None:
    N = 0
    while 1 > 0:
        cmd = ""
        for i in range(N, min(N + 1000, len(goodRuns))):
            cmd += " $EOSSHIP" + goodRuns[i]
        tmpFile = "pythia8_Geant4_" + ecut + "_c" + str(N + Nstart) + ".root"
        rc = os.system("hadd -j 10 -O " + tmpFile + " " + cmd)
        if rc != 0:
            print("hadd failed, stop", N)
            return
        rc = os.system("xrdcp " + tmpFile + " $EOSSHIP/eos/experiment/ship/data/Mbias/background-prod-2018/" + tmpFile)
        if rc != 0:
            print("copy to EOS failed, stop", N, N + Nstart)
        else:
            rc = os.system("rm " + tmpFile)
        N += 1000
        if len(goodRuns) < N:
            break
 
 

◆ check4DoubleRuns()

None compactingBackgroundProduction.check4DoubleRuns ( )

Definition at line 413 of file compactingBackgroundProduction.py.

def check4DoubleRuns() -> None:
    allRuns = [
        "goodAndBadRuns_2018-01-01_2018-02-01.pkl",
        "goodAndBadRuns_2018-02-01_2018-02-06.pkl",
        "goodAndBadRuns_2018-02-06_2018-02-12.pkl",
        "goodAndBadRuns_2018-02-12_2018-02-15.pkl",
        "goodAndBadRuns_2018-02-15_2018-02-21.pkl",
        "goodAndBadRuns_2018-02-21_2018-02-26.pkl",
    ]
    Nruns = 0
    for x in allRuns:
        with open(x) as fn:
            dn = pickle.load(fn)
        Nruns += len(dn["goodruns"])
    print("Total number of runs:", Nruns)
 
    for n in range(len(allRuns) - 1):
        with open(allRuns[n]) as fn:
            dn = pickle.load(fn)
        for m in range(n + 1, len(allRuns)):
            with open(allRuns[m]) as fm:
                dm = pickle.load(fm)
            for rn in dn["goodruns"]:
                for rm in dm["goodruns"]:
                    if rn == rm:
                        print("double entry found", rn, allRuns[n], allRuns[m])

◆ compactify()

None compactingBackgroundProduction.compactify	(	bool \| str	charm,
			runMin = `0`,
			runMax = `0`,
			checkOnly = `False`
	)

Definition at line 210 of file compactingBackgroundProduction.py.

def compactify(charm: bool | str, runMin=0, runMax=0, checkOnly=False) -> None:
    globalPath = "/afs/cern.ch/project/lbcern/vol2/truf/muonBackground"
    ecut = "10.0"
    if charm:
        allDirs = os.listdir(globalPath + "/charm")
        allFiles = []
        for r in range(int(runMin), int(runMax) + 1):
            # collect the 20 subdirectories connected to a run
            nr = "9000" + str(r)
            subruns = []
            badFiles = []
            for x in allDirs:
                for k in range(20):
                    sr = f"{k:0>2}"
                    if not x.find(nr + sr) < 0:
                        if not x.find("log") < 0:
                            continue
                        fn = "pythia8_Geant4_" + nr + sr + "_" + ecut + ".root"
                        file_path = globalPath + "/charm/" + x + "/" + fn
                        if os.path.exists(file_path):
                            try:
                                t = ROOT.TFile.Open(file_path)
                                if not t:
                                    badFiles.append(file_path)
                                    continue
                                if t.ReadKeys() == 0:
                                    badFiles.append(file_path)
                                    continue
                                if t.FindObjectAny("cbmsim"):
                                    subruns.append(file_path)
                            except Exception:
                                badFiles.append(file_path)
                                continue
            ldir = " "
            for x in subruns:
                ldir += x + " "
            outputr = "pythia8_Geant4_charm_" + nr + "_" + ecut + ".root"
            allFiles += outputr + " "
            os.system("hadd " + outputr + " " + ldir)
        output = "pythia8_Geant4_charm_" + str(runMin) + "_" + str(runMax) + "_" + ecut + ".root"
        os.system("hadd " + output + " " + allFiles)
        makeHistos(output)
    else:
        output = "pythia8_Geant4_" + str(runMin) + "-" + str(runMax) + "_" + ecut + ".root"
        if not checkOnly:
            ldir = ""
            badFiles = []
            for d in os.listdir(globalPath):
                if d.find("run_fixedTarget") < 0:
                    continue
                srun = d.split("run_fixedTarget_")[1]
                run = int(srun)
                if not run > runMax and not run < runMin:
                    f = globalPath + "/" + d + "/pythia8_Geant4_" + srun + "_" + ecut + ".root "
                    ftmp = f.replace(".root ", ".roottmp")
                    if os.path.exists(ftmp):
                        f = ftmp + " "
                    try:
                        t = ROOT.TFile.Open(f)
                        if not t:
                            badFiles.append(d)
                            continue
                        if t.ReadKeys() == 0:
                            badFiles.append(d)
                            continue
                        if t.FindObjectAny("cbmsim"):
                            ldir += f
                    except Exception:
                        badFiles.append(d)
                        continue
            os.system("hadd " + output + " " + ldir)
            makeHistos(output)
 
 

◆ compactifyCascade()

None compactingBackgroundProduction.compactifyCascade ( cycle )

Definition at line 178 of file compactingBackgroundProduction.py.

def compactifyCascade(cycle) -> None:
    ncpus = 20
    path = "/afs/cern.ch/project/lbcern/vol1/truf/charm/"
    cmd = ""
    Ntot = 0
    NperJob = 2000000
    for i in range(cycle, cycle + ncpus):
        fName = path + "run" + str(i) + "/Cascade-run" + str(i) + "-parp16-MSTP82-1-MSEL4.root"
        with open(path + "run" + str(i) + "/log" + str(i)) as f:
            success = False
            for line in f.readlines():
                if not line.find("Macro finished successfully") < 0:
                    success = True
        if not success:
            print("job not finished properly", fName)
            continue
        cmd += fName + " "
        Ntot += NperJob
    if cmd.find("root") < 0:
        print("no file found, exit")
    else:
        stat = str(int(Ntot / 1e6)) + "Mpot"
        outFile = "Cascade-run" + str(cycle) + "-" + str(cycle + ncpus - 1) + "-parp16-MSTP82-1-MSEL4-" + stat + ".root"
        rc = os.system("hadd -O " + outFile + " " + cmd)
        rc = os.system("xrdcp " + outFile + " $EOSSHIP/eos/experiment/ship/data/Mbias/background-prod-2018/" + outFile)
        if rc != 0:
            print("copy to EOS failed, stop", outFile)
        else:
            rc = os.system("rm " + outFile)
 
 
# some old stuff

◆ GetGoodAndBadRuns()

tuple[list[str], list[int]] compactingBackgroundProduction.GetGoodAndBadRuns	(	startDate,
		endDate
	)

Definition at line 34 of file compactingBackgroundProduction.py.

def GetGoodAndBadRuns(startDate, endDate) -> tuple[list[str], list[int]]:
    # find bad runs, try to recover
    goodRuns = []
    badRuns = []
    fileName = "pythia8_Geant4_1_" + ecut + ".root"
    os.system("ls -l --full-time " + globalPath + " >inventory.lst")
    with open("inventory.lst") as f:
        runs = f.readlines()
    N = 0
    for r in runs:
        tmp = r.split(" ")
        if len(tmp) != 9:
            print("wrong format", tmp)
            continue
        date = tmp[5].split("-")
        time = tmp[6].split(":")
        fileDate = datetime.datetime(
            int(date[0]), int(date[1]), int(date[2]), int(time[0]), int(time[1]), int(time[2].split(".")[0])
        )
        if fileDate < startDate or fileDate > endDate:
            continue
        theRun = int(tmp[8].replace("\n", ""))
        test = os.listdir(globalPath + str(theRun))
        if len(test) < 2:
            continue
        N += 1
        rc = os.system(
            'grep -q "Number of events produced with activity after hadron absorber" '
            + globalPath
            + str(theRun)
            + "/stdout"
        )
        if rc != 0:
            badRuns.append(theRun)
            continue
        for x in test:
            if x.find("run_fixedTarget") > 0:
                test2 = os.listdir(globalPath + str(theRun) + "/" + x)
                f = globalPath + str(theRun) + "/" + x + "/" + fileName
                if fnames + "tmp" in test2:
                    f = f + "tmp"
                elif fnames in test2:
                    f = f
                else:
                    badRuns.append(theRun)
                    continue
                try:
                    t = ROOT.TFile.Open(os.environ["EOSSHIP"] + f)
                    if not t:
                        badRuns.append(theRun)
                        continue
                    if N % 1000 == 0:
                        print(N, t.GetName())
                    if t.ReadKeys() == 0:
                        t.Close()
                        badRuns.append(theRun)
                        continue
                    if t.FindObjectAny("cbmsim"):
                        goodRuns.append(f)
                        t.Close()
                except Exception:
                    badRuns.append(theRun)
                    continue
    return goodRuns, badRuns
 
 

◆ makeHistos()

None compactingBackgroundProduction.makeHistos ( str rfile )

Definition at line 284 of file compactingBackgroundProduction.py.

def makeHistos(rfile: str) -> None:
    f = ROOT.TFile.Open(rfile)
    sTree = f.Get("cbmsim")
    nTot = 0
    for k in f.GetListOfKeys():
        if k.GetName() == "FileHeader":
            tmp = k.GetTitle().split("=")[1]
            tmp2 = tmp.split("with")[0]
            if tmp2.find("E") < 0:
                nTot += int(tmp2)
            else:
                nTot += float(tmp2)
    print("POT = ", nTot, " number of events:", sTree.GetEntries())
    # particle statistics
    h = {}
    ut.bookHist(h, "pids", "pid", 19999, -9999.5, 9999.5)
    ut.bookHist(h, "test", "muon p/pt", 100, 0.0, 400.0, 100, 0.0, 5.0)
    for n in range(sTree.GetEntries()):
        sTree.GetEvent(n)
        for p in sTree.vetoPoint:
            t = sTree.MCTrack[p.GetTrackID()]
            pid = t.GetPdgCode()
            h["pids"].Fill(pid)
            if abs(pid) == 13:
                procID = t.GetProcName().Data()
                mother = t.GetMotherId()
                if not mother < 0:
                    moPid = sTree.MCTrack[mother].GetPdgCode()
                    name = pdg.GetParticle(moPid).GetName()
                    name = procID + " " + name
                    if name not in h:
                        h[name] = h["test"].Clone(name)
                    h[name].Fill(t.GetP(), t.GetPt())
                if procID not in h:
                    h[procID] = h["test"].Clone(procID)
                h[procID].Fill(t.GetP(), t.GetPt())
    for x in h:
        h[x].Scale(1.0 / nTot)
    tmp = rfile.split("/")
    hname = tmp[len(tmp) - 1].replace("pythia8_Geant4", "Histos")
    ut.writeHists(h, hname)
 
 

◆ makePrintout()

None compactingBackgroundProduction.makePrintout ( )

Definition at line 332 of file compactingBackgroundProduction.py.

def makePrintout() -> None:
    # Histos_2000000-2001500_10.0.root
    ut.readHists(hunbiased, "/media/microdisk/HNL/muonBackground/Histos_1000000-1000600_10.0.root")
    ut.readHists(hbiased, "hadded_Histos_1_10.0.root")
 
    unbiased = {}
    biased = {}
    for key in hunbiased:
        unbiased[key] = hunbiased[key].GetSumOfWeights()
    for key in hbiased:
        if key.find("proj") < 0 and key.find("test") < 0 and key.find("pids") < 0:
            biased[key] = hbiased[key].GetSumOfWeights()
    p = {}
    for i in range(1, hbiased["pids"].GetNbinsX() + 1):
        c = hbiased["pids"].GetBinContent(i)
        if c > 0:
            p[int(hbiased["pids"].GetBinCenter(i))] = c
 
    sorted_p = sorted(p.items(), key=operator.itemgetter(1))
    for p in sorted_p:
        print("%25s : %5.2G" % (pdg.GetParticle(p[0]).GetName(), float(p[1])))
    sorted_pr = sorted(biased.items(), key=operator.itemgetter(1))
    print("origin of muons")
    for p in sorted_pr:
        if not p[0].find("Hadronic inelastic") < 0:
            if len(p[0]) > len("Hadronic inelastic"):
                continue
        denom = 0
        if p[0] in unbiased:
            denom = unbiased[p[0]]
        if denom > 0:
            fac = float(p[1]) / denom
            print("%40s : %5.2G %5.1F" % (p[0], float(p[1]), fac))
        else:
            print("%40s : %5.2G " % (p[0], float(p[1])))
 
 

◆ removeStupidFiles()

None compactingBackgroundProduction.removeStupidFiles ( )

Definition at line 404 of file compactingBackgroundProduction.py.

def removeStupidFiles() -> None:
    path = "/eos/experiment/ship/data/Mbias/background-prod-2018"
    for f in os.listdir(path):
        ff = path + "/" + f
        x = os.path.getsize(ff)
        if x < 500:
            os.remove(ff)
 
 

◆ YandexProd()

None compactingBackgroundProduction.YandexProd	(	startDate,
		endDate
	)

Definition at line 121 of file compactingBackgroundProduction.py.

def YandexProd(startDate, endDate) -> None:
    # startDate = datetime.datetime(2018, 1, 1, 0, 0)  # N=0
    # endDate   = datetime.datetime(2018, 2, 1, 0, 0)
    # startDate = datetime.datetime(2018, 2, 1, 0, 0)  # N=23000
    # endDate   = datetime.datetime(2018, 2, 6, 0, 0)
    # startDate = datetime.datetime(2018, 2, 6,  0, 0) # N=33000
    # endDate   = datetime.datetime(2018, 2, 12, 0, 0)
    # startDate = datetime.datetime(2018, 2, 12,  0, 0) # N=45000
    # endDate   = datetime.datetime(2018, 2, 15, 0, 0)
    # startDate = datetime.datetime(2018, 2, 15,  0, 0) # N=51000
    # endDate   = datetime.datetime(2018, 2, 21, 0, 0)
    # startDate = datetime.datetime(2018, 2, 21,  0, 0) # N=63000
    # endDate   = datetime.datetime(2018, 2, 2, 0, 0)
    # startDate = datetime.datetime(2018, 1, 1,  0, 0) #  start with 1 GeV production
    # endDate   = datetime.datetime(2018, 2, 27, 0, 0) # N=0
    # startDate = datetime.datetime(2018, 2, 27,  0, 0) #
    # endDate   = datetime.datetime(2018, 3, 6, 0, 0) # N=3000
    # startDate = datetime.datetime(2018, 3, 6,  0, 0) #
    # endDate   = datetime.datetime(2018, 3, 12, 0, 0) # N=9000
    goodRuns, badRuns = GetGoodAndBadRuns(startDate, endDate)
    pName = (
        "goodAndBadRuns"
        + prod
        + "_"
        + startDate.__str__().split(" ")[0]
        + "_"
        + endDate.__str__().split(" ")[0]
        + ".pkl"
    )
    with open(pName, "w") as fpi:
        database = {}
        database["goodruns"] = goodRuns
        database["badRuns"] = badRuns
        pickle.dump(database, fpi)
    with open(pName) as fpi:
        database = pickle.load(fpi)
    addRuns(database["goodruns"], 20000)  # next cycle
 
 