{"id":23951369,"url":"https://github.com/psteinb/zbfitter","last_synced_at":"2026-05-12T23:06:21.834Z","repository":{"id":2547462,"uuid":"3525450","full_name":"psteinb/ZbFitter","owner":"psteinb","description":"Template Fit Package to perform an extended likelihood fit on binned data for n template distributions","archived":false,"fork":false,"pushed_at":"2012-02-23T13:44:22.000Z","size":4148,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-06T12:59:34.271Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/psteinb.png","metadata":{"files":{"readme":"README","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2012-02-23T13:14:17.000Z","updated_at":"2014-01-07T11:56:43.000Z","dependencies_parsed_at":"2022-09-09T23:02:41.298Z","dependency_job_id":null,"html_url":"https://github.com/psteinb/ZbFitter","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/psteinb%2FZbFitter","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/psteinb%2FZbFitter/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/psteinb%2FZbFitter/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/psteinb%2FZbFitter/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/psteinb","download_url":"https://codeload.github.com/psteinb/ZbFitter/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240449893,"owners_count":19803125,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-01-06T12:59:37.792Z","updated_at":"2026-05-12T23:06:21.783Z","avatar_url":"https://github.com/psteinb.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"Before you start, try to contact me (Peter.Steinbach@tu-dresden.de) in order to discuss if you really want to use my software (it was never written to be used publically).\n\n0) To setup the package\n   * setup root\n   * setup intel threading building blocks (tbb)\n   * source setupPATHS.sh in the parent directory of the package\n   * issue\n     $\u003e make \u0026\u0026 make runners\n     from the top directory\n\n1) run the fits\n* source prepare.sh to create environment files as in $SRC/results/central/sherpa/SV0/*.sh\n* see $SRC/results/central/*.sh \nfor a fit on 3 templates plus the fixed top background taken from Sherpa_XXX.root\n* if goodness-of-fit information is needed, run the fit with options -P \u003cfileLocation\u003e (and -m 1) and the respective root file from a pseudo experiment (this contains the maxLLH distribution to\ncalculate the p-value from)\n\n2) run pseudo experiments\n* source prepare.sh to create environment files as in $SRC/results/ensemble/sherpa/SV0/\n* see e.g. $SRC/results/ensemble/sherpa/SV0/do_*.sh\n  for a fit on 3 templates plus the fixed top background taken from Sherpa_XXX.root\n\n3) systematics\n* generate the input files as documented in the respective directory $SRC/bundles/sherpa/SV0/systematics\n* perform the fits as documented in $SRC/results/systematics\n\n4) run linearity tests\nsee $SRC/results/linear/\n* due to technical reasons there are 2 approaches implemented \n--\u003e generate the input files using n variants of a given distribution\n--\u003e conduct pseudo experiments with all n variants\n--\u003e collect the mean and the average fit uncertainty\n\n5) Have Fun!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpsteinb%2Fzbfitter","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpsteinb%2Fzbfitter","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpsteinb%2Fzbfitter/lists"}