diff --git a/PWGHF/D2H/Macros/compute_fraction_cutvar.py b/PWGHF/D2H/Macros/compute_fraction_cutvar.py index 35f751419fd..0099185472b 100644 --- a/PWGHF/D2H/Macros/compute_fraction_cutvar.py +++ b/PWGHF/D2H/Macros/compute_fraction_cutvar.py @@ -37,8 +37,8 @@ def main(config): infile_rawy = ROOT.TFile.Open(os.path.join(cfg["rawyields"]["inputdir"], filename_rawy)) hist_rawy_name = cfg["rawyields"]["histoname"] hist_rawy.append(infile_rawy.Get(hist_rawy_name)) - if(hist_rawy[-1] is None): - sys.exit(f"Fatal error: Histogram with raw yield \"{hist_rawy_name}\" is absent. Exit.") + if not isinstance(hist_rawy[-1], ROOT.TH1): + sys.exit(f"\33[31mFatal error: Histogram with raw yield \"{hist_rawy_name}\" is absent. Exit.\33[0m") hist_rawy[-1].SetDirectory(0) infile_rawy.Close() @@ -47,31 +47,43 @@ def main(config): hist_effnp_name = cfg["efficiencies"]["histonames"]["nonprompt"] hist_effp.append(infile_eff.Get(hist_effp_name)) hist_effnp.append(infile_eff.Get(hist_effnp_name)) - if(hist_effp[-1] is None): - sys.exit(f"Fatal error: Histogram with efficiency for prompt \"{hist_effp_name}\" is absent. Exit.") - if(hist_effnp[-1] is None): - sys.exit(f"Fatal error: Histogram with efficiency for nonprompt \"{hist_effnp}\" is absent. Exit.") + if not isinstance(hist_effp[-1], ROOT.TH1): + sys.exit(f"\33[31mFatal error: Histogram with efficiency for prompt \"{hist_effp_name}\" is absent. Exit.\33[0m") + if not isinstance(hist_effnp[-1], ROOT.TH1): + sys.exit(f"\33[31mFatal error: Histogram with efficiency for nonprompt \"{hist_effnp}\" is absent. Exit.\33[0m") hist_effp[-1].SetDirectory(0) hist_effnp[-1].SetDirectory(0) infile_eff.Close() pt_bin_to_process = cfg.get("pt_bin_to_process", -1) if not isinstance(pt_bin_to_process, int): - sys.exit("Fatal error: pt_bin_to_process must be an integer value. Exit.") + sys.exit("\33[31mFatal error: pt_bin_to_process must be an integer value. Exit.") if (pt_bin_to_process != -1 and pt_bin_to_process < 1) or pt_bin_to_process > hist_rawy[0].GetNbinsX(): - sys.exit("Fatal error: pt_bin_to_process must be a positive value up to number of bins in raw yield histogram. Exit.") + sys.exit("\33[31mFatal error: pt_bin_to_process must be a positive value up to number of bins in raw yield histogram. Exit.") + + is_draw_title_rawy = cfg.get("is_draw_title", {}).get("rawy", True) + is_draw_title_eff = cfg.get("is_draw_title", {}).get("eff", False) + is_draw_title_frac = cfg.get("is_draw_title", {}).get("frac", False) + is_draw_title_cov = cfg.get("is_draw_title", {}).get("cov", False) + is_draw_title_unc = cfg.get("is_draw_title", {}).get("unc", True) + + is_save_canvas_as_macro_rawy = cfg.get("is_save_canvas_as_macro", {}).get("rawy", False) + is_save_canvas_as_macro_eff = cfg.get("is_save_canvas_as_macro", {}).get("eff", False) + is_save_canvas_as_macro_frac = cfg.get("is_save_canvas_as_macro", {}).get("frac", False) + is_save_canvas_as_macro_cov = cfg.get("is_save_canvas_as_macro", {}).get("cov", False) + is_save_canvas_as_macro_unc = cfg.get("is_save_canvas_as_macro", {}).get("unc", False) if cfg["central_efficiency"]["computerawfrac"]: infile_name = os.path.join(cfg["central_efficiency"]["inputdir"], cfg["central_efficiency"]["inputfile"]) infile_central_eff = ROOT.TFile.Open(infile_name) hist_central_effp_name = cfg["central_efficiency"]["histonames"]["prompt"] hist_central_effp = infile_central_eff.Get(hist_central_effp_name) - if(hist_central_effp is None): - sys.exit(f"Fatal error: Histogram with central efficiency for prompt \"{hist_central_effp_name}\" is absent. Exit.") + if not isinstance(hist_central_effp[-1], ROOT.TH1): + sys.exit(f"\33[31mFatal error: Histogram with central efficiency for prompt \"{hist_central_effp_name}\" is absent. Exit.\33[0m") hist_central_effnp_name = cfg["central_efficiency"]["histonames"]["nonprompt"] hist_central_effnp = infile_central_eff.Get(hist_central_effnp_name) - if(hist_central_effnp is None): - sys.exit(f"Fatal error: Histogram with central efficiency for nonprompt \"{hist_central_effnp_name}\" is absent. Exit.") + if not isinstance(hist_central_effnp[-1], ROOT.TH1): + sys.exit(f"\33[31mFatal error: Histogram with central efficiency for nonprompt \"{hist_central_effnp_name}\" is absent. Exit.\33[0m") hist_central_effp.SetDirectory(0) hist_central_effnp.SetDirectory(0) infile_central_eff.Close() @@ -171,10 +183,10 @@ def main(config): if cfg["minimisation"]["correlated"]: if not (np.all(rawy[1:] > rawy[:-1]) or np.all(rawy[1:] < rawy[:-1])): - print("WARNING! main(): the raw yield vector is not monotonous. Check the input for stability.") + print("\0\33[33mWARNING! main(): the raw yield vector is not monotonous. Check the input for stability.\0\33[0m") print(f"raw yield vector elements = {rawy}\n") if not (np.all(unc_rawy[1:] > unc_rawy[:-1]) or np.all(unc_rawy[1:] < unc_rawy[:-1])): - print("WARNING! main(): the raw yield uncertainties vector is not monotonous. Check the input for stability.") + print("\0\33[33mWARNING! main(): the raw yield uncertainties vector is not monotonous. Check the input for stability.\0\33[0m") print(f"raw yield uncertainties vector elements = {unc_rawy}\n") minimiser = CutVarMinimiser(rawy, effp, effnp, unc_rawy, unc_effp, unc_effnp) @@ -211,34 +223,49 @@ def main(config): hist_bin_title = f"bin # {ipt+1}; {pt_axis_title}#in ({pt_min}; {pt_max})" - canv_rawy, histos_rawy, leg_r = minimiser.plot_result(f"_pt{pt_min}_{pt_max}", hist_bin_title) + hist_bin_title_rawy = hist_bin_title if is_draw_title_rawy else "" + canv_rawy, histos_rawy, leg_r = minimiser.plot_result(f"_pt_{pt_min}_to_{pt_max}", hist_bin_title_rawy) output.cd() canv_rawy.Write() for _, hist in histos_rawy.items(): hist.Write() + if (is_save_canvas_as_macro_rawy): + canv_rawy.SaveAs(f"canv_rawy_{ipt+1}.C") - canv_unc, histos_unc, leg_unc = minimiser.plot_uncertainties(f"_pt{pt_min}_{pt_max}", hist_bin_title) + hist_bin_title_unc = hist_bin_title if is_draw_title_unc else "" + canv_unc, histos_unc, leg_unc = minimiser.plot_uncertainties(f"_pt_{pt_min}_to_{pt_max}", hist_bin_title_unc) output.cd() canv_unc.Write() for _, hist in histos_unc.items(): hist.Write() + if (is_save_canvas_as_macro_unc): + canv_unc.SaveAs(f"canv_unc_{ipt+1}.C") - canv_eff, histos_eff, leg_e = minimiser.plot_efficiencies(f"_pt{pt_min}_{pt_max}", hist_bin_title) + hist_bin_title_eff = hist_bin_title if is_draw_title_eff else "" + canv_eff, histos_eff, leg_e = minimiser.plot_efficiencies(f"_pt_{pt_min}_to_{pt_max}", hist_bin_title_eff) output.cd() canv_eff.Write() for _, hist in histos_eff.items(): hist.Write() + if (is_save_canvas_as_macro_eff): + canv_eff.SaveAs(f"canv_eff_{ipt+1}.C") - canv_frac, histos_frac, leg_f = minimiser.plot_fractions(f"_pt{pt_min}_{pt_max}", hist_bin_title) + hist_bin_title_frac = hist_bin_title if is_draw_title_frac else "" + canv_frac, histos_frac, leg_f = minimiser.plot_fractions(f"_pt_{pt_min}_to_{pt_max}", hist_bin_title_frac) output.cd() canv_frac.Write() for _, hist in histos_frac.items(): hist.Write() + if (is_save_canvas_as_macro_frac): + canv_frac.SaveAs(f"canv_frac_{ipt+1}.C") - canv_cov, histo_cov = minimiser.plot_cov_matrix(True, f"_pt{pt_min}_{pt_max}", hist_bin_title) + hist_bin_title_cov = hist_bin_title if is_draw_title_cov else "" + canv_cov, histo_cov = minimiser.plot_cov_matrix(True, f"_pt_{pt_min}_to_{pt_max}", hist_bin_title_cov) output.cd() canv_cov.Write() histo_cov.Write() + if (is_save_canvas_as_macro_cov): + canv_cov.SaveAs(f"canv_cov_{ipt+1}.C") else: print(f"Minimization for pT {pt_min}, {pt_max} not successful") canv_rawy = ROOT.TCanvas("c_rawy_minimization_error", "Minimization error", 500, 500) diff --git a/PWGHF/D2H/Macros/config_cutvar_example.json b/PWGHF/D2H/Macros/config_cutvar_example.json index 20466b37044..e1b768b807d 100644 --- a/PWGHF/D2H/Macros/config_cutvar_example.json +++ b/PWGHF/D2H/Macros/config_cutvar_example.json @@ -57,6 +57,20 @@ "minimisation": { "correlated": true }, + "is_draw_title": { + "rawy": true, + "frac": false, + "eff": false, + "cov": false, + "unc": true + }, + "is_save_canvas_as_macro": { + "rawy": false, + "frac": false, + "eff": false, + "cov": false, + "unc": false + }, "central_efficiency": { "computerawfrac": true, "inputdir": "path/to/central/efficiency", diff --git a/PWGHF/D2H/Macros/cut_variation.py b/PWGHF/D2H/Macros/cut_variation.py index 3d862589836..f9b49f15710 100644 --- a/PWGHF/D2H/Macros/cut_variation.py +++ b/PWGHF/D2H/Macros/cut_variation.py @@ -79,15 +79,15 @@ def __check_input_consistency(self): """ if len(self.eff_prompt) != self.n_sets or len(self.eff_nonprompt) != self.n_sets: - print("ERROR: number of raw yields and efficiencies not consistent! Exit") + print("33[31mERROR: number of raw yields and efficiencies not consistent! Exit\033[0m") sys.exit() if len(self.unc_raw_yields) != self.n_sets: - print("ERROR: number of raw yields and raw-yield uncertainties not consistent! Exit") + print("33[31mERROR: number of raw yields and raw-yield uncertainties not consistent! Exit\033[0m") sys.exit() if len(self.unc_eff_prompt) != self.n_sets or len(self.unc_eff_nonprompt) != self.n_sets: - print("ERROR: number of raw yields and efficiency uncertainties not consistent! Exit") + print("33[31mERROR: number of raw yields and efficiency uncertainties not consistent! Exit\033[0m") sys.exit() def __initialise_objects(self): @@ -199,7 +199,7 @@ def minimise_system(self, correlated=True, precision=1.0e-8, max_iterations=100) if correlated: m_cov_sets_diag = np.diag(self.m_cov_sets) if not (np.all(m_cov_sets_diag[1:] > m_cov_sets_diag[:-1]) or np.all(m_cov_sets_diag[1:] < m_cov_sets_diag[:-1])): - print("WARNING! minimise_system(): the residual vector uncertainties elements are not monotonous. Check the input for stability.") + print("\033[33mWARNING! minimise_system(): the residual vector uncertainties elements are not monotonous. Check the input for stability.\033[0m") print(f"residual vector uncertainties elements = {np.sqrt(m_cov_sets_diag)}\n") # chi2 @@ -484,6 +484,7 @@ def plot_result(self, suffix="", title=""): - leg: ROOT.TLegend needed otherwise it is destroyed """ + suffix = suffix.replace(".", "_") set_global_style(padleftmargin=0.16, padbottommargin=0.12, padtopmargin=0.075, titleoffsety=1.6) @@ -604,6 +605,7 @@ def plot_cov_matrix(self, correlated=True, suffix="", title=""): - hist_corr_matrix: ROOT.TH2F histogram of correlation matrix """ + suffix = suffix.replace(".", "_") set_global_style( padleftmargin=0.14, @@ -667,6 +669,7 @@ def plot_efficiencies(self, suffix="", title=""): - leg: ROOT.TLegend needed otherwise it is destroyed """ + suffix = suffix.replace(".", "_") set_global_style(padleftmargin=0.14, padbottommargin=0.12, titleoffset=1.2, padtopmargin = 0.075) @@ -758,6 +761,7 @@ def plot_fractions(self, suffix="", title=""): - leg: ROOT.TLegend needed otherwise it is destroyed """ + suffix = suffix.replace(".", "_") set_global_style(padleftmargin=0.14, padbottommargin=0.12, titleoffset=1.2, padtopmargin = 0.075) @@ -844,6 +848,7 @@ def plot_uncertainties(self, suffix="", title=""): - leg: ROOT.TLegend needed otherwise it is destroyed """ + suffix = suffix.replace(".", "_") set_global_style(padleftmargin=0.16, padbottommargin=0.12, padtopmargin=0.075, titleoffsety=1.6)