{"doi":"10.1103/physrevd.85.034011","title":"Theory uncertainties for Higgs mass and other searches using jet bins","abstract":"Bounds on the Higgs mass from the Tevatron and LHC are determined using\\nexclusive jet bins to maximize sensitivity. Scale variation in exclusive\\nfixed-order predictions underestimates the perturbative uncertainty for these\\ncross sections, due to cancellations between the perturbative corrections\\nleading to large K factors and those that induce logarithmic sensitivity to the\\njet-bin boundary. To account for this, we propose that scale variation in the\\nfixed-order calculations should be used to determine theory uncertainties for\\ninclusive jet cross sections, whose differences yield exclusive jet cross\\nsections. This yields a theory correlation matrix for the jet bins such that\\nthe additional uncertainty from large logarithms due to the jet boundary\\ncancels when neighboring bins are added. This procedure is tested for H + 0, 1\\njets, WW + 0 jets, and W + 0, 1, 2 jets, and found to be generally applicable.\\nFor a case where the higher-order resummation of the jet boundary corrections\\nis known, we show that this procedure yields fixed-order uncertainties which\\nare theoretically consistent with those obtained in the resummed calculation.\\n","journal":"Physical Review D","year":2012,"id":8482,"datarank":0.7156026936698499,"base_score":4.770684624465665,"endowment":4.770684624465665,"self_citation_contribution":0.7156026936698499,"citation_network_contribution":0.0,"self_endowment_contribution":0.7156026936698499,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":117,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.0508,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2012-02-07","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":73910,"name":"Frank J. Tackmann","orcid":"0000-0002-0975-0006","position":1,"is_corresponding":false},{"id":73909,"name":"Iain W. Stewart","orcid":"0000-0003-0248-0979","position":0,"is_corresponding":true}],"reference_count":33,"raw_metadata":null,"created_at":"2026-03-01T18:20:47.508186Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}