diff --git a/_modules/iceplot/iceplot.html b/_modules/iceplot/iceplot.html index c0dca7c1..196aba65 100644 --- a/_modules/iceplot/iceplot.html +++ b/_modules/iceplot/iceplot.html @@ -549,6 +549,13 @@

Source code for iceplot.iceplot

         else:
             self.is_empty = False
 
+    # Compute histogram integral (piece-wise differential sum)
+

+[docs]
+    def integral(self):
+        return np.sum(self.binscale * self.counts * binwidth(self.bins))

+
+    
     # + operator
     def __add__(self, other):
 
@@ -564,7 +571,7 @@ 
Source code for iceplot.iceplot
         counts = self.counts + other.counts
         errs   = np.sqrt(self.errs**2   + other.errs**2)
 
-        return hobj(counts, errs, bins, cbins, binscale)
+        return hobj(counts, errs, self.bins, self.cbins, binscale)
     
     # += operator
     def __iadd__(self, other):
@@ -1024,7 +1031,7 @@ 
Source code for iceplot.iceplot
         # Compute differential cross section within histogram range
         # Note that division by sum(weights) handles the histogram range integral (overflow) properly
         binscale = mcdata['xsection_pb'] / binwidth(bins) / np.sum(mcdata['weights']) 
-
+        
         # Additional scale factor
         if scale is not None:
             binscale *= scale
@@ -1037,6 +1044,8 @@ 
Source code for iceplot.iceplot
         obj[OBS] = {'hdata': hobj(counts, errs, bins, cbins, binscale),
                     'hfunc' : 'hist', 'color': color, 'label': label, 'style' : style}
 
+        print(f'histmc: integral = {obj[OBS]["hdata"].integral():0.2E} ({OBS})')
+        
     return obj

 
 
@@ -1049,13 +1058,11 @@ 
Source code for iceplot.iceplot
     obj = {}
 
     for OBS in all_obs.keys():
-
-        # Over all DATA files (now fixed to one)
-        data_obj = []
-
+        
         y        = hepdata[OBS]['y']    
         yerr     = hepdata[OBS]['y_err']
         bins     = hepdata[OBS]['bins']
+        binwidth = hepdata[OBS]['binwidth']
         cbins    = hepdata[OBS]['x']
 
         binscale = hepdata[OBS]['scale'] * MC_XS_SCALE
@@ -1066,14 +1073,15 @@ 
Source code for iceplot.iceplot
         
         # Density integral 1 over the histogram bins
         if density:
-             # note .mean(), each element is already differentially normalized
-            norm  = hepdata[OBS]['binwidth'].mean() * y.sum()
+            norm  = (y * binwidth).sum()
             y    /= norm
             yerr /= norm
             binscale = 1.0
         
         obj[OBS] = {'hdata': hobj(y, yerr, bins, cbins, binscale),
                     'hfunc' : 'hist', 'color': (0,0,0), 'label': label, 'style' : style}
+
+        print(f'histhepdata: integral = {obj[OBS]["hdata"].integral():0.2E} ({OBS})')
     
     return obj

 
diff --git a/genindex.html b/genindex.html
index 484856b1..b2ca5e2b 100644
--- a/genindex.html
+++ b/genindex.html
@@ -1528,6 +1528,8 @@ 
I

       
  • initialize() (in module icebrk.fasthistos)
 
    • 
       
  • int2onehot() (in module icenet.tools.aux)
+
    • 
+      
  • integral() (hobj method)
 
    • 
       
  • invmass() (in module icenet.algo.analytic)
 
    • 
diff --git a/modules/iceplot.html b/modules/iceplot.html
index 82218670..4d7f341d 100644
--- a/modules/iceplot.html
+++ b/modules/iceplot.html
@@ -551,6 +551,11 @@ 
    iceplot
    
 class hobj(counts=0, errs=0, bins=0, cbins=0, binscale=1.0)[source]
    
 
    Minimal histogram data object.
    
+
    
+
    
+integral()[source]
    
+
    
+
 
    
 
 
    
diff --git a/objects.inv b/objects.inv
index a2152857..5b98c92b 100644
Binary files a/objects.inv and b/objects.inv differ
diff --git a/searchindex.js b/searchindex.js
index f6733e90..69ca23fa 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"docnames": ["index", "modules/icebrk", "modules/icedqcd", "modules/icefit", "modules/icehgcal", "modules/icehnl", "modules/iceid", "modules/icemc", "modules/icenet", "modules/iceplot", "modules/icetrg", "notes/cmssw", "notes/installation", "notes/introduction", "notes/markup"], "filenames": ["index.rst", "modules/icebrk.rst", "modules/icedqcd.rst", "modules/icefit.rst", "modules/icehgcal.rst", "modules/icehnl.rst", "modules/iceid.rst", "modules/icemc.rst", "modules/icenet.rst", "modules/iceplot.rst", "modules/icetrg.rst", "notes/cmssw.rst", "notes/installation.rst", "notes/introduction.rst", "notes/markup.rst"], "titles": ["First steps", "icebrk", "icedqcd", "icefit", "icehgcal", "icehnl", "iceid", "icemc", "icenet", "iceplot", "icetrg", "CMSSW setup", "Installation", "Introduction", "Markup"], "terms": {"A": [0, 3, 8, 9], "deep": [0, 13], "learn": [0, 3, 8, 13], "driven": 0, "librari": [0, 6, 8, 13], "high": [0, 10, 13], "energi": [0, 13], "physic": [0, 1, 3, 13], 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"module-icenet.deep.dbnf"], [8, "module-icenet.deep.deeptools"], [8, "module-icenet.deep.deps"], [8, "module-icenet.deep.dmlp"], [8, "module-icenet.deep.gcnn"], [8, "module-icenet.deep.graph"], [8, "module-icenet.deep.iceboost"], [8, "module-icenet.deep.losstools"], [8, "module-icenet.deep.maxo"], [8, "module-icenet.deep.mlgr"], [8, "module-icenet.deep.optimize"], [8, "module-icenet.deep.pgraph"], [8, "module-icenet.deep.predict"], [8, "module-icenet.deep.tempscale"], [8, "module-icenet.deep.train"], [8, "module-icenet.deep.vae"], [8, "module-icenet.optim.adam"], [8, "module-icenet.optim.adamax"], [8, "module-icenet.optim.scheduler"], [8, "module-icenet.tools.aux"], [8, "module-icenet.tools.aux_torch"], [8, "module-icenet.tools.icemap"], [8, "module-icenet.tools.iceroot"], [8, "module-icenet.tools.icevec"], [8, "module-icenet.tools.io"], [8, "module-icenet.tools.plots"], [8, "module-icenet.tools.prints"], [8, "module-icenet.tools.process"], [8, "module-icenet.tools.reweight"], [8, "module-icenet.tools.stx"], [9, "module-iceplot.iceplot"], [10, "module-icetrg.common"]], "pickle_files() (in module icebrk.histos)": [[1, "icebrk.histos.pickle_files"]], "poweranalysis() (in module icebrk.loop)": [[1, "icebrk.loop.poweranalysis"]], "print_mc_event() (in module icebrk.tools)": [[1, "icebrk.tools.print_MC_event"]], "process() (in module icebrk.loop)": [[1, "icebrk.loop.process"]], "triplet_cuts() (in module icebrk.cutstats)": [[1, "icebrk.cutstats.triplet_cuts"]], "icedqcd.common": [[2, "module-icedqcd.common"]], "icedqcd.graphio": [[2, "module-icedqcd.graphio"]], "load_root_file() (in module icedqcd.common)": [[2, "icedqcd.common.load_root_file"]], "parse_graph_data() (in module icedqcd.graphio)": [[2, "icedqcd.graphio.parse_graph_data"]], "process_root() (in module icedqcd.common)": [[2, "icedqcd.common.process_root"]], "splitfactor() (in module icedqcd.common)": [[2, "icedqcd.common.splitfactor"]], "abcd_2nll() (in module icefit.abcd)": [[3, "icefit.abcd.ABCD_2NLL"]], "abcd_eq() (in module icefit.abcd)": [[3, "icefit.abcd.ABCD_eq"]], "abcd_err() (in module icefit.abcd)": [[3, "icefit.abcd.ABCD_err"]], "ads() (in module icefit.statstools)": [[3, "icefit.statstools.ADS"]], "cb_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.CB_pdf"]], "dscb_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.DSCB_pdf"]], "em_frac() (in module icefit.em)": [[3, "icefit.em.EM_frac"]], "h_score() (in module icefit.cortools)": [[3, "icefit.cortools.H_score"]], "i_score() (in module icefit.cortools)": [[3, "icefit.cortools.I_score"]], "minenet (class in icefit.mine)": [[3, "icefit.mine.MINENet"]], "rbw_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.RBW_pdf"]], "th1_to_numpy() (in module icefit.peakfit)": [[3, "icefit.peakfit.TH1_to_numpy"]], "analytical_extreme_npdf() (in module icefit.statstools)": [[3, "icefit.statstools.analytical_extreme_npdf"]], "analyze_1d_fit() (in module icefit.peakfit)": [[3, "icefit.peakfit.analyze_1D_fit"]], "apply_mine() (in module icefit.mine)": [[3, "icefit.mine.apply_mine"]], "apply_mine_batched() (in module icefit.mine)": [[3, "icefit.mine.apply_mine_batched"]], "asym_bw_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.asym_BW_pdf"]], "asym_rbw_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.asym_RBW_pdf"]], "binned_1d_fit() (in module icefit.peakfit)": [[3, "icefit.peakfit.binned_1D_fit"]], "bw2bins() (in module icefit.cortools)": [[3, "icefit.cortools.bw2bins"]], "cauchy_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.cauchy_pdf"]], "clopper_pearson_err() (in module icefit.statstools)": [[3, "icefit.statstools.clopper_pearson_err"]], "columnar_mask_efficiency() (in module icefit.statstools)": [[3, "icefit.statstools.columnar_mask_efficiency"]], "compute_mine() (in module icefit.mine)": [[3, "icefit.mine.compute_mine"]], "cormat2covmat() (in module icefit.statstools)": [[3, "icefit.statstools.cormat2covmat"]], "corrcoeff_weighted_torch() (in module icefit.cortools)": [[3, "icefit.cortools.corrcoeff_weighted_torch"]], "correlation_matrix() (in module icefit.statstools)": [[3, "icefit.statstools.correlation_matrix"]], "covmat2corrmat() (in module icefit.statstools)": [[3, "icefit.statstools.covmat2corrmat"]], "create_label() (in module icefit.lognormal)": [[3, "icefit.lognormal.create_label"]], "distance_corr() (in module icefit.cortools)": [[3, "icefit.cortools.distance_corr"]], "distance_corr_torch() (in module icefit.cortools)": [[3, "icefit.cortools.distance_corr_torch"]], "error_on_mu() (in module icefit.statstools)": [[3, "icefit.statstools.error_on_mu"]], "error_on_std() (in module icefit.statstools)": [[3, "icefit.statstools.error_on_std"]], "estimate() (in module icefit.mine)": [[3, "icefit.mine.estimate"]], "exp_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.exp_pdf"]], "fit_and_analyze() (in module icefit.peakfit)": [[3, "icefit.peakfit.fit_and_analyze"]], "fit_task() (in module icefit.peakfit)": [[3, "icefit.peakfit.fit_task"]], "forward() (minenet method)": [[3, "icefit.mine.MINENet.forward"]], "freedman_diaconis_bin() (in module icefit.cortools)": [[3, "icefit.cortools.freedman_diaconis_bin"]], "gauss_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.gauss_pdf"]], "gaussian_mutual_information() (in module icefit.cortools)": [[3, "icefit.cortools.gaussian_mutual_information"]], "gausspdf() (in module icefit.em)": [[3, "icefit.em.gausspdf"]], "generic_conv_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.generic_conv_pdf"]], "geom_mean_2d() (in module icefit.statstools)": [[3, "icefit.statstools.geom_mean_2D"]], "get_full_hessian() (in module icefit.jacobian)": [[3, "icefit.jacobian.get_full_hessian"]], "get_gradient() (in module icefit.jacobian)": [[3, "icefit.jacobian.get_gradient"]], "get_jacobian() (in module icefit.jacobian)": [[3, "icefit.jacobian.get_jacobian"]], "get_rootfiles_jpsi() (in module icefit.peakfit)": [[3, "icefit.peakfit.get_rootfiles_jpsi"]], "group_systematics() (in module icefit.peakfit)": [[3, "icefit.peakfit.group_systematics"]], "hacine_entropy_bin() (in module icefit.cortools)": [[3, "icefit.cortools.hacine_entropy_bin"]], "hacine_joint_entropy_bin() (in module icefit.cortools)": [[3, "icefit.cortools.hacine_joint_entropy_bin"]], "highres_x() (in module icefit.peakfit)": [[3, "icefit.peakfit.highres_x"]], "icefit.abcd": [[3, "module-icefit.abcd"]], "icefit.cortools": [[3, "module-icefit.cortools"]], "icefit.em": [[3, "module-icefit.em"]], "icefit.jacobian": [[3, "module-icefit.jacobian"]], "icefit.lognormal": [[3, "module-icefit.lognormal"]], "icefit.mine": [[3, "module-icefit.mine"]], "icefit.peakfit": [[3, "module-icefit.peakfit"]], "icefit.score": [[3, "module-icefit.score"]], "icefit.statstools": [[3, "module-icefit.statstools"]], "iminuit2python() (in module icefit.peakfit)": [[3, "icefit.peakfit.iminuit2python"]], "logl() (in module icefit.score)": [[3, "icefit.score.logL"]], "lognormal_param() (in module icefit.lognormal)": [[3, "icefit.lognormal.lognormal_param"]], "main() (in module icefit.lognormal)": [[3, "icefit.lognormal.main"]], "mc_extreme_multivariate_npdf() (in module icefit.statstools)": [[3, "icefit.statstools.mc_extreme_multivariate_npdf"]], "mc_extreme_npdf() (in module icefit.statstools)": [[3, "icefit.statstools.mc_extreme_npdf"]], "mixture_nll() (in module icefit.em)": [[3, "icefit.em.mixture_nll"]], "mutual_information() (in module icefit.cortools)": [[3, "icefit.cortools.mutual_information"]], "observed_fisher_info() (in module icefit.jacobian)": [[3, "icefit.jacobian.observed_fisher_info"]], "optbins() (in module icefit.cortools)": [[3, "icefit.cortools.optbins"]], "optbins2d() (in module icefit.cortools)": [[3, "icefit.cortools.optbins2d"]], "p2zscore() (in module icefit.statstools)": [[3, "icefit.statstools.p2zscore"]], "pearson_corr() (in module icefit.cortools)": [[3, "icefit.cortools.pearson_corr"]], "percentile_per_dim() (in module icefit.cortools)": [[3, "icefit.cortools.percentile_per_dim"]], "poisson_ratio() (in module icefit.statstools)": [[3, "icefit.statstools.poisson_ratio"]], "poisson_tail() (in module icefit.statstools)": [[3, "icefit.statstools.poisson_tail"]], "poly_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.poly_pdf"]], "prc_ci() (in module icefit.cortools)": [[3, "icefit.cortools.prc_CI"]], "prod_eprop() (in module icefit.statstools)": [[3, "icefit.statstools.prod_eprop"]], "rand_lognormal() (in module icefit.lognormal)": [[3, "icefit.lognormal.rand_lognormal"]], "rand_powexp() (in module icefit.lognormal)": [[3, "icefit.lognormal.rand_powexp"]], "ratio_eprop() (in module icefit.statstools)": [[3, "icefit.statstools.ratio_eprop"]], "read_yaml_input() (in module icefit.peakfit)": [[3, "icefit.peakfit.read_yaml_input"]], "readwrap() (in module icefit.peakfit)": [[3, "icefit.peakfit.readwrap"]], "run_jpsi_fitpeak() (in module icefit.peakfit)": [[3, "icefit.peakfit.run_jpsi_fitpeak"]], "run_jpsi_tagprobe() (in module icefit.peakfit)": [[3, "icefit.peakfit.run_jpsi_tagprobe"]], "sample_batch() (in module icefit.mine)": [[3, "icefit.mine.sample_batch"]], "scott_bin() (in module icefit.cortools)": [[3, "icefit.cortools.scott_bin"]], "test_em() (in module icefit.em)": [[3, "icefit.em.test_EM"]], "test_abcd() (in module icefit.abcd)": [[3, "icefit.abcd.test_abcd"]], "test_accuracy() (in module icefit.lognormal)": [[3, "icefit.lognormal.test_accuracy"]], "test_constant() (in module icefit.cortools)": [[3, "icefit.cortools.test_constant"]], "test_dimension_interfaces() (in module icefit.jacobian)": [[3, "icefit.jacobian.test_dimension_interfaces"]], "test_efficiency_ratio() (in module icefit.statstools)": [[3, "icefit.statstools.test_efficiency_ratio"]], "test_extreme_npdf() (in module icefit.statstools)": [[3, "icefit.statstools.test_extreme_npdf"]], "test_gaussian() (in module icefit.cortools)": [[3, "icefit.cortools.test_gaussian"]], "test_hessians() (in module icefit.jacobian)": [[3, "icefit.jacobian.test_hessians"]], "test_jacobians() (in module icefit.jacobian)": [[3, "icefit.jacobian.test_jacobians"]], "test_lognormal() (in module icefit.lognormal)": [[3, "icefit.lognormal.test_lognormal"]], "test_ratios() (in module icefit.statstools)": [[3, "icefit.statstools.test_ratios"]], "tpratio_taylor() (in module icefit.statstools)": [[3, "icefit.statstools.tpratio_taylor"]], "train_loop() (in module icefit.mine)": [[3, "icefit.mine.train_loop"]], "voigt_fwhm() (in module icefit.peakfit)": [[3, "icefit.peakfit.voigt_FWHM"]], "voigt_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.voigt_pdf"]], "weighted_binomial_err() (in module icefit.statstools)": [[3, "icefit.statstools.weighted_binomial_err"]], "welch_ttest() (in module icefit.statstools)": [[3, "icefit.statstools.welch_ttest"]], "compute_edge_attr() (in module icehgcal.graphio)": [[4, "icehgcal.graphio.compute_edge_attr"]], "compute_edges() (in module icehgcal.preprocess)": [[4, "icehgcal.preprocess.compute_edges"]], "create_trackster_data() (in module icehgcal.preprocess)": [[4, "icehgcal.preprocess.create_trackster_data"]], "event_loop() (in module icehgcal.preprocess)": [[4, "icehgcal.preprocess.event_loop"]], "get_node_features() (in module icehgcal.graphio)": [[4, "icehgcal.graphio.get_node_features"]], "icehgcal.common": [[4, "module-icehgcal.common"]], "icehgcal.graphio": [[4, "module-icehgcal.graphio"]], "icehgcal.preprocess": [[4, "module-icehgcal.preprocess"]], "load_root_file() (in module icehgcal.common)": [[4, "icehgcal.common.load_root_file"]], "parse_graph_data_candidate() (in module icehgcal.graphio)": [[4, "icehgcal.graphio.parse_graph_data_candidate"]], "parse_graph_data_trackster() (in module icehgcal.graphio)": [[4, "icehgcal.graphio.parse_graph_data_trackster"]], "process_root() (in module icehgcal.common)": [[4, "icehgcal.common.process_root"]], "process_tracklet_data() (in module icehgcal.common)": [[4, "icehgcal.common.process_tracklet_data"]], "read_data_tracklet() (in module icehgcal.common)": [[4, "icehgcal.common.read_data_tracklet"]], "splitfactor() (in module icehgcal.common)": [[4, "icehgcal.common.splitfactor"]], "icehnl.common": [[5, "module-icehnl.common"]], "load_root_file() (in module icehnl.common)": [[5, "icehnl.common.load_root_file"]], "splitfactor() (in module icehnl.common)": [[5, "icehnl.common.splitfactor"]], "get_node_features() (in module iceid.graphio)": [[6, "iceid.graphio.get_node_features"]], "iceid.common": [[6, "module-iceid.common"]], "iceid.graphio": [[6, "module-iceid.graphio"]], "load_root_file() (in module iceid.common)": [[6, "iceid.common.load_root_file"]], "parse_graph_data() (in module iceid.graphio)": [[6, "iceid.graphio.parse_graph_data"]], "parse_tensor_data() (in module iceid.graphio)": [[6, "iceid.graphio.parse_tensor_data"]], "splitfactor() (in module iceid.common)": [[6, "iceid.common.splitfactor"]], "gamma2tau() (in module icemc.icemc)": [[7, "icemc.icemc.Gamma2tau"]], "u() (in module icemc.icemc)": [[7, "icemc.icemc.U"]], "annotate_heatmap() (in module icemc.icemc)": [[7, "icemc.icemc.annotate_heatmap"]], "icemc.icemc": [[7, "module-icemc.icemc"]], "outer_sim_loop() (in module icemc.icemc)": [[7, "icemc.icemc.outer_sim_loop"]], "outer_sim_loop_2() (in module icemc.icemc)": [[7, "icemc.icemc.outer_sim_loop_2"]], "produce_acceptance_sim() (in module icemc.icemc)": [[7, "icemc.icemc.produce_acceptance_sim"]], "randexp() (in module icemc.icemc)": [[7, "icemc.icemc.randexp"]], "randpow() (in module icemc.icemc)": [[7, "icemc.icemc.randpow"]], "resonance_generator() (in module icemc.icemc)": [[7, "icemc.icemc.resonance_generator"]], "set_aspect_true_equal() (in module icemc.icemc)": [[7, "icemc.icemc.set_aspect_true_equal"]], "spherical_acceptance() (in module icemc.icemc)": [[7, "icemc.icemc.spherical_acceptance"]], "tau2gamma() (in module icemc.icemc)": [[7, "icemc.icemc.tau2Gamma"]], "test() (in module icemc.icemc)": [[7, "icemc.icemc.test"]], "test_toy_pt_spectrum() (in module icemc.icemc)": [[7, "icemc.icemc.test_toy_pt_spectrum"]], "twobody() (in module icemc.icemc)": [[7, "icemc.icemc.twobody"]], "adam (class in icenet.optim.adam)": [[8, "icenet.optim.adam.Adam"]], "adamax (class in icenet.optim.adamax)": [[8, "icenet.optim.adamax.Adamax"]], "bnaf (class in icenet.deep.bnaf)": [[8, "icenet.deep.bnaf.BNAF"]], "cnn (class in icenet.deep.cnn)": [[8, "icenet.deep.cnn.CNN"]], "cnn_maxo (class in icenet.deep.cnn)": [[8, "icenet.deep.cnn.CNN_MAXO"]], "deps (class in icenet.deep.deps)": [[8, "icenet.deep.deps.DEPS"]], "dmlp (class in icenet.deep.dmlp)": [[8, "icenet.deep.dmlp.DMLP"]], "dataset (class in icenet.deep.dbnf)": [[8, "icenet.deep.dbnf.Dataset"]], "dataset (class in icenet.deep.optimize)": [[8, "icenet.deep.optimize.Dataset"]], "decoder (class in icenet.deep.vae)": [[8, "icenet.deep.vae.Decoder"]], "dualdataset (class in icenet.deep.optimize)": [[8, "icenet.deep.optimize.DualDataset"]], 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"icebrk.loop.initarrays"]], "initialize() (in module icebrk.fasthistos)": [[1, "icebrk.fasthistos.initialize"]], "module": [[1, "module-icebrk.PDG"], [1, "module-icebrk.cutstats"], [1, "module-icebrk.fasthistos"], [1, "module-icebrk.features"], [1, "module-icebrk.histos"], [1, "module-icebrk.loop"], [1, "module-icebrk.tools"], [2, "module-icedqcd.common"], [2, "module-icedqcd.graphio"], [3, "module-icefit.abcd"], [3, "module-icefit.cortools"], [3, "module-icefit.em"], [3, "module-icefit.jacobian"], [3, "module-icefit.lognormal"], [3, "module-icefit.mine"], [3, "module-icefit.peakfit"], [3, "module-icefit.score"], [3, "module-icefit.statstools"], [4, "module-icehgcal.common"], [4, "module-icehgcal.graphio"], [4, "module-icehgcal.preprocess"], [5, "module-icehnl.common"], [6, "module-iceid.common"], [6, "module-iceid.graphio"], [7, "module-icemc.icemc"], [8, "module-icenet.algo.analytic"], [8, "module-icenet.algo.flr"], [8, "module-icenet.algo.nmf"], [8, "module-icenet.deep.autogradxgb"], [8, "module-icenet.deep.bnaf"], [8, "module-icenet.deep.cnn"], [8, "module-icenet.deep.da"], [8, "module-icenet.deep.dbnf"], [8, "module-icenet.deep.deeptools"], [8, "module-icenet.deep.deps"], [8, "module-icenet.deep.dmlp"], [8, "module-icenet.deep.gcnn"], [8, "module-icenet.deep.graph"], [8, "module-icenet.deep.iceboost"], [8, "module-icenet.deep.losstools"], [8, "module-icenet.deep.maxo"], [8, "module-icenet.deep.mlgr"], [8, "module-icenet.deep.optimize"], [8, "module-icenet.deep.pgraph"], [8, "module-icenet.deep.predict"], [8, "module-icenet.deep.tempscale"], [8, "module-icenet.deep.train"], [8, "module-icenet.deep.vae"], [8, "module-icenet.optim.adam"], [8, "module-icenet.optim.adamax"], [8, "module-icenet.optim.scheduler"], [8, "module-icenet.tools.aux"], [8, "module-icenet.tools.aux_torch"], [8, "module-icenet.tools.icemap"], [8, "module-icenet.tools.iceroot"], [8, "module-icenet.tools.icevec"], [8, "module-icenet.tools.io"], [8, "module-icenet.tools.plots"], [8, "module-icenet.tools.prints"], [8, "module-icenet.tools.process"], [8, "module-icenet.tools.reweight"], [8, "module-icenet.tools.stx"], [9, "module-iceplot.iceplot"], [10, "module-icetrg.common"]], "pickle_files() (in module icebrk.histos)": [[1, "icebrk.histos.pickle_files"]], "poweranalysis() (in module icebrk.loop)": [[1, "icebrk.loop.poweranalysis"]], "print_mc_event() (in module icebrk.tools)": [[1, "icebrk.tools.print_MC_event"]], "process() (in module icebrk.loop)": [[1, "icebrk.loop.process"]], "triplet_cuts() (in module icebrk.cutstats)": [[1, "icebrk.cutstats.triplet_cuts"]], "icedqcd.common": [[2, "module-icedqcd.common"]], "icedqcd.graphio": [[2, "module-icedqcd.graphio"]], "load_root_file() (in module icedqcd.common)": [[2, "icedqcd.common.load_root_file"]], "parse_graph_data() (in module icedqcd.graphio)": [[2, "icedqcd.graphio.parse_graph_data"]], "process_root() (in module icedqcd.common)": [[2, "icedqcd.common.process_root"]], "splitfactor() (in module icedqcd.common)": [[2, "icedqcd.common.splitfactor"]], "abcd_2nll() (in module icefit.abcd)": [[3, "icefit.abcd.ABCD_2NLL"]], "abcd_eq() (in module icefit.abcd)": [[3, "icefit.abcd.ABCD_eq"]], "abcd_err() (in module icefit.abcd)": [[3, "icefit.abcd.ABCD_err"]], "ads() (in module icefit.statstools)": [[3, "icefit.statstools.ADS"]], "cb_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.CB_pdf"]], "dscb_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.DSCB_pdf"]], "em_frac() (in module icefit.em)": [[3, "icefit.em.EM_frac"]], "h_score() (in module icefit.cortools)": [[3, "icefit.cortools.H_score"]], "i_score() (in module icefit.cortools)": [[3, "icefit.cortools.I_score"]], "minenet (class in icefit.mine)": [[3, "icefit.mine.MINENet"]], "rbw_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.RBW_pdf"]], "th1_to_numpy() (in module icefit.peakfit)": [[3, "icefit.peakfit.TH1_to_numpy"]], "analytical_extreme_npdf() (in module icefit.statstools)": [[3, "icefit.statstools.analytical_extreme_npdf"]], "analyze_1d_fit() (in module icefit.peakfit)": [[3, "icefit.peakfit.analyze_1D_fit"]], "apply_mine() (in module icefit.mine)": [[3, "icefit.mine.apply_mine"]], "apply_mine_batched() (in module icefit.mine)": [[3, "icefit.mine.apply_mine_batched"]], "asym_bw_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.asym_BW_pdf"]], "asym_rbw_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.asym_RBW_pdf"]], "binned_1d_fit() (in module icefit.peakfit)": [[3, "icefit.peakfit.binned_1D_fit"]], "bw2bins() (in module icefit.cortools)": [[3, "icefit.cortools.bw2bins"]], "cauchy_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.cauchy_pdf"]], "clopper_pearson_err() (in module icefit.statstools)": [[3, "icefit.statstools.clopper_pearson_err"]], "columnar_mask_efficiency() (in module icefit.statstools)": [[3, "icefit.statstools.columnar_mask_efficiency"]], "compute_mine() (in module icefit.mine)": [[3, "icefit.mine.compute_mine"]], "cormat2covmat() (in module icefit.statstools)": [[3, "icefit.statstools.cormat2covmat"]], "corrcoeff_weighted_torch() (in module icefit.cortools)": [[3, "icefit.cortools.corrcoeff_weighted_torch"]], "correlation_matrix() (in module icefit.statstools)": [[3, "icefit.statstools.correlation_matrix"]], "covmat2corrmat() (in module icefit.statstools)": [[3, "icefit.statstools.covmat2corrmat"]], "create_label() (in module icefit.lognormal)": [[3, "icefit.lognormal.create_label"]], "distance_corr() (in module icefit.cortools)": [[3, "icefit.cortools.distance_corr"]], "distance_corr_torch() (in module icefit.cortools)": [[3, "icefit.cortools.distance_corr_torch"]], "error_on_mu() (in module icefit.statstools)": [[3, "icefit.statstools.error_on_mu"]], "error_on_std() (in module icefit.statstools)": [[3, "icefit.statstools.error_on_std"]], "estimate() (in module icefit.mine)": [[3, "icefit.mine.estimate"]], "exp_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.exp_pdf"]], "fit_and_analyze() (in module icefit.peakfit)": [[3, "icefit.peakfit.fit_and_analyze"]], "fit_task() (in module icefit.peakfit)": [[3, "icefit.peakfit.fit_task"]], "forward() (minenet method)": [[3, "icefit.mine.MINENet.forward"]], "freedman_diaconis_bin() (in module icefit.cortools)": [[3, "icefit.cortools.freedman_diaconis_bin"]], "gauss_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.gauss_pdf"]], "gaussian_mutual_information() (in module icefit.cortools)": [[3, "icefit.cortools.gaussian_mutual_information"]], "gausspdf() (in module icefit.em)": [[3, "icefit.em.gausspdf"]], "generic_conv_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.generic_conv_pdf"]], "geom_mean_2d() (in module icefit.statstools)": [[3, "icefit.statstools.geom_mean_2D"]], "get_full_hessian() (in module icefit.jacobian)": [[3, "icefit.jacobian.get_full_hessian"]], "get_gradient() (in module icefit.jacobian)": [[3, "icefit.jacobian.get_gradient"]], "get_jacobian() (in module icefit.jacobian)": [[3, "icefit.jacobian.get_jacobian"]], "get_rootfiles_jpsi() (in module icefit.peakfit)": [[3, "icefit.peakfit.get_rootfiles_jpsi"]], "group_systematics() (in module icefit.peakfit)": [[3, "icefit.peakfit.group_systematics"]], "hacine_entropy_bin() (in module icefit.cortools)": [[3, "icefit.cortools.hacine_entropy_bin"]], "hacine_joint_entropy_bin() (in module icefit.cortools)": [[3, "icefit.cortools.hacine_joint_entropy_bin"]], "highres_x() (in module icefit.peakfit)": [[3, "icefit.peakfit.highres_x"]], "icefit.abcd": [[3, "module-icefit.abcd"]], "icefit.cortools": [[3, "module-icefit.cortools"]], "icefit.em": [[3, "module-icefit.em"]], "icefit.jacobian": [[3, "module-icefit.jacobian"]], "icefit.lognormal": [[3, "module-icefit.lognormal"]], "icefit.mine": [[3, "module-icefit.mine"]], "icefit.peakfit": [[3, "module-icefit.peakfit"]], "icefit.score": [[3, "module-icefit.score"]], "icefit.statstools": [[3, "module-icefit.statstools"]], "iminuit2python() (in module icefit.peakfit)": [[3, "icefit.peakfit.iminuit2python"]], "logl() (in module icefit.score)": [[3, "icefit.score.logL"]], "lognormal_param() (in module icefit.lognormal)": [[3, "icefit.lognormal.lognormal_param"]], "main() (in module icefit.lognormal)": [[3, "icefit.lognormal.main"]], "mc_extreme_multivariate_npdf() (in module icefit.statstools)": [[3, "icefit.statstools.mc_extreme_multivariate_npdf"]], "mc_extreme_npdf() (in module icefit.statstools)": [[3, "icefit.statstools.mc_extreme_npdf"]], "mixture_nll() (in module icefit.em)": [[3, "icefit.em.mixture_nll"]], "mutual_information() (in module icefit.cortools)": [[3, "icefit.cortools.mutual_information"]], "observed_fisher_info() (in module icefit.jacobian)": [[3, "icefit.jacobian.observed_fisher_info"]], "optbins() (in module icefit.cortools)": [[3, "icefit.cortools.optbins"]], "optbins2d() (in module icefit.cortools)": [[3, "icefit.cortools.optbins2d"]], "p2zscore() (in module icefit.statstools)": [[3, "icefit.statstools.p2zscore"]], "pearson_corr() (in module icefit.cortools)": [[3, "icefit.cortools.pearson_corr"]], "percentile_per_dim() (in module icefit.cortools)": [[3, "icefit.cortools.percentile_per_dim"]], "poisson_ratio() (in module icefit.statstools)": [[3, "icefit.statstools.poisson_ratio"]], "poisson_tail() (in module icefit.statstools)": [[3, "icefit.statstools.poisson_tail"]], "poly_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.poly_pdf"]], "prc_ci() (in module icefit.cortools)": [[3, "icefit.cortools.prc_CI"]], "prod_eprop() (in module icefit.statstools)": [[3, "icefit.statstools.prod_eprop"]], "rand_lognormal() (in module icefit.lognormal)": [[3, "icefit.lognormal.rand_lognormal"]], "rand_powexp() (in module icefit.lognormal)": [[3, "icefit.lognormal.rand_powexp"]], "ratio_eprop() (in module icefit.statstools)": [[3, "icefit.statstools.ratio_eprop"]], "read_yaml_input() (in module icefit.peakfit)": [[3, "icefit.peakfit.read_yaml_input"]], "readwrap() (in module icefit.peakfit)": [[3, "icefit.peakfit.readwrap"]], "run_jpsi_fitpeak() (in module icefit.peakfit)": [[3, "icefit.peakfit.run_jpsi_fitpeak"]], "run_jpsi_tagprobe() (in module icefit.peakfit)": [[3, "icefit.peakfit.run_jpsi_tagprobe"]], "sample_batch() (in module icefit.mine)": [[3, "icefit.mine.sample_batch"]], "scott_bin() (in module icefit.cortools)": [[3, "icefit.cortools.scott_bin"]], "test_em() (in module icefit.em)": [[3, "icefit.em.test_EM"]], "test_abcd() (in module icefit.abcd)": [[3, "icefit.abcd.test_abcd"]], "test_accuracy() (in module icefit.lognormal)": [[3, "icefit.lognormal.test_accuracy"]], "test_constant() (in module icefit.cortools)": [[3, "icefit.cortools.test_constant"]], "test_dimension_interfaces() (in module icefit.jacobian)": [[3, "icefit.jacobian.test_dimension_interfaces"]], "test_efficiency_ratio() (in module icefit.statstools)": [[3, "icefit.statstools.test_efficiency_ratio"]], "test_extreme_npdf() (in module icefit.statstools)": [[3, "icefit.statstools.test_extreme_npdf"]], "test_gaussian() (in module icefit.cortools)": [[3, "icefit.cortools.test_gaussian"]], "test_hessians() (in module icefit.jacobian)": [[3, "icefit.jacobian.test_hessians"]], "test_jacobians() (in module icefit.jacobian)": [[3, "icefit.jacobian.test_jacobians"]], "test_lognormal() (in module icefit.lognormal)": [[3, "icefit.lognormal.test_lognormal"]], "test_ratios() (in module icefit.statstools)": [[3, "icefit.statstools.test_ratios"]], "tpratio_taylor() (in module icefit.statstools)": [[3, "icefit.statstools.tpratio_taylor"]], "train_loop() (in module icefit.mine)": [[3, "icefit.mine.train_loop"]], "voigt_fwhm() (in module icefit.peakfit)": [[3, "icefit.peakfit.voigt_FWHM"]], "voigt_pdf() (in module icefit.peakfit)": [[3, "icefit.peakfit.voigt_pdf"]], "weighted_binomial_err() (in module icefit.statstools)": [[3, "icefit.statstools.weighted_binomial_err"]], "welch_ttest() (in module icefit.statstools)": [[3, "icefit.statstools.welch_ttest"]], "compute_edge_attr() (in module icehgcal.graphio)": [[4, "icehgcal.graphio.compute_edge_attr"]], "compute_edges() (in module icehgcal.preprocess)": [[4, "icehgcal.preprocess.compute_edges"]], "create_trackster_data() (in module icehgcal.preprocess)": [[4, "icehgcal.preprocess.create_trackster_data"]], "event_loop() (in module icehgcal.preprocess)": [[4, "icehgcal.preprocess.event_loop"]], "get_node_features() (in module icehgcal.graphio)": [[4, "icehgcal.graphio.get_node_features"]], "icehgcal.common": [[4, "module-icehgcal.common"]], "icehgcal.graphio": [[4, "module-icehgcal.graphio"]], "icehgcal.preprocess": [[4, "module-icehgcal.preprocess"]], "load_root_file() (in module icehgcal.common)": [[4, "icehgcal.common.load_root_file"]], "parse_graph_data_candidate() (in module icehgcal.graphio)": [[4, "icehgcal.graphio.parse_graph_data_candidate"]], "parse_graph_data_trackster() (in module icehgcal.graphio)": [[4, "icehgcal.graphio.parse_graph_data_trackster"]], "process_root() (in module icehgcal.common)": [[4, "icehgcal.common.process_root"]], "process_tracklet_data() (in module icehgcal.common)": [[4, "icehgcal.common.process_tracklet_data"]], "read_data_tracklet() (in module icehgcal.common)": [[4, "icehgcal.common.read_data_tracklet"]], "splitfactor() (in module icehgcal.common)": [[4, "icehgcal.common.splitfactor"]], "icehnl.common": [[5, "module-icehnl.common"]], "load_root_file() (in module icehnl.common)": [[5, "icehnl.common.load_root_file"]], "splitfactor() (in module icehnl.common)": [[5, "icehnl.common.splitfactor"]], "get_node_features() (in module iceid.graphio)": [[6, "iceid.graphio.get_node_features"]], "iceid.common": [[6, "module-iceid.common"]], "iceid.graphio": [[6, "module-iceid.graphio"]], "load_root_file() (in module iceid.common)": [[6, "iceid.common.load_root_file"]], "parse_graph_data() (in module iceid.graphio)": [[6, "iceid.graphio.parse_graph_data"]], "parse_tensor_data() (in module iceid.graphio)": [[6, "iceid.graphio.parse_tensor_data"]], "splitfactor() (in module iceid.common)": [[6, "iceid.common.splitfactor"]], "gamma2tau() (in module icemc.icemc)": [[7, "icemc.icemc.Gamma2tau"]], "u() (in module icemc.icemc)": [[7, "icemc.icemc.U"]], "annotate_heatmap() (in module icemc.icemc)": [[7, "icemc.icemc.annotate_heatmap"]], "icemc.icemc": [[7, "module-icemc.icemc"]], "outer_sim_loop() (in module icemc.icemc)": [[7, "icemc.icemc.outer_sim_loop"]], "outer_sim_loop_2() (in module icemc.icemc)": [[7, "icemc.icemc.outer_sim_loop_2"]], "produce_acceptance_sim() (in module icemc.icemc)": [[7, "icemc.icemc.produce_acceptance_sim"]], "randexp() (in module icemc.icemc)": [[7, "icemc.icemc.randexp"]], "randpow() (in module icemc.icemc)": [[7, "icemc.icemc.randpow"]], "resonance_generator() (in module icemc.icemc)": [[7, "icemc.icemc.resonance_generator"]], "set_aspect_true_equal() (in module icemc.icemc)": [[7, "icemc.icemc.set_aspect_true_equal"]], "spherical_acceptance() (in module icemc.icemc)": [[7, "icemc.icemc.spherical_acceptance"]], "tau2gamma() (in module icemc.icemc)": [[7, "icemc.icemc.tau2Gamma"]], "test() (in module icemc.icemc)": [[7, "icemc.icemc.test"]], "test_toy_pt_spectrum() (in module icemc.icemc)": [[7, "icemc.icemc.test_toy_pt_spectrum"]], "twobody() (in module icemc.icemc)": [[7, "icemc.icemc.twobody"]], "adam (class in icenet.optim.adam)": [[8, "icenet.optim.adam.Adam"]], "adamax (class in icenet.optim.adamax)": [[8, "icenet.optim.adamax.Adamax"]], "bnaf (class in icenet.deep.bnaf)": [[8, "icenet.deep.bnaf.BNAF"]], "cnn (class in icenet.deep.cnn)": [[8, "icenet.deep.cnn.CNN"]], "cnn_maxo (class in icenet.deep.cnn)": [[8, "icenet.deep.cnn.CNN_MAXO"]], "deps (class in icenet.deep.deps)": [[8, "icenet.deep.deps.DEPS"]], "dmlp (class in icenet.deep.dmlp)": [[8, "icenet.deep.dmlp.DMLP"]], "dataset (class in icenet.deep.dbnf)": [[8, "icenet.deep.dbnf.Dataset"]], "dataset (class in icenet.deep.optimize)": [[8, "icenet.deep.optimize.Dataset"]], "decoder (class in icenet.deep.vae)": [[8, 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\ No newline at end of file