Evaluation of PID Performance at CEPC and Optimization with Combined dN/dx and Time-of-Flight Data Article Swipe
Dingli Yu
,
Houqian Ding
,
Yunyun Fan
,
Yongfeng Zhu
,
Ming Qi
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2507.18164
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2507.18164
This work presents a comprehensive study of charged-hadron particle identification (PID) at the Circular Electron-Positron Collider (CEPC), based on full simulation of hadronic $Z$-pole events. A unified PID strategy is developed by combining energy loss measurements (dN/dx) from the time projection chamber (TPC) and time-of-flight (ToF) information from both the inner (ITK) and outer (OTK) silicon trackers. The PID discriminant is constructed using residuals between measured and expected observables under multiple particle hypotheses, with identification regions optimized to maximize kaon efficiency and purity across bins of momentum and polar angle. Results show that the TPC alone, while highly efficient (99.3%), suffers from severe pion-induced contamination, yielding only 14.3% purity. Incorporating ToF from OTK improves the purity to 25.7%. A full combination of ITK, TPC, and OTK significantly enhances performance, achieving 96.8% efficiency and 87.4% purity (product: 84.6%). Furthermore, a momentum-dependent strategy that dynamically selects the optimal detector combination achieves the best overall performance, with 99.4% efficiency and 92.4% purity, corresponding to a 91.8% kaon identification quality. These results demonstrate that the CEPC baseline detector fulfills the requirements for precision flavor tagging and provide clear guidance for future optimization of timing detector configurations.
Related Topics
Concepts
No concepts available.
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2507.18164
- https://arxiv.org/pdf/2507.18164
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W4415233172
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4415233172Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2507.18164Digital Object Identifier
- Title
-
Evaluation of PID Performance at CEPC and Optimization with Combined dN/dx and Time-of-Flight DataWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-07-24Full publication date if available
- Authors
-
Dingli Yu, Houqian Ding, Yunyun Fan, Yongfeng Zhu, Ming QiList of authors in order
- Landing page
-
https://arxiv.org/abs/2507.18164Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2507.18164Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2507.18164Direct OA link when available
- Cited by
-
0Total citation count in OpenAlex
Full payload
| id | https://openalex.org/W4415233172 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.2507.18164 |
| ids.doi | https://doi.org/10.48550/arxiv.2507.18164 |
| ids.openalex | https://openalex.org/W4415233172 |
| fwci | |
| type | preprint |
| title | Evaluation of PID Performance at CEPC and Optimization with Combined dN/dx and Time-of-Flight Data |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10346 |
| topics[0].field.id | https://openalex.org/fields/31 |
| topics[0].field.display_name | Physics and Astronomy |
| topics[0].score | 0.9872000217437744 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3106 |
| topics[0].subfield.display_name | Nuclear and High Energy Physics |
| topics[0].display_name | Magnetic confinement fusion research |
| topics[1].id | https://openalex.org/T10159 |
| topics[1].field.id | https://openalex.org/fields/31 |
| topics[1].field.display_name | Physics and Astronomy |
| topics[1].score | 0.967199981212616 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/3103 |
| topics[1].subfield.display_name | Astronomy and Astrophysics |
| topics[1].display_name | Ionosphere and magnetosphere dynamics |
| topics[2].id | https://openalex.org/T10781 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9646999835968018 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2208 |
| topics[2].subfield.display_name | Electrical and Electronic Engineering |
| topics[2].display_name | Plasma Diagnostics and Applications |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:2507.18164 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400194 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | arXiv (Cornell University) |
| locations[0].source.host_organization | https://openalex.org/I205783295 |
| locations[0].source.host_organization_name | Cornell University |
| locations[0].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[0].license | |
| locations[0].pdf_url | https://arxiv.org/pdf/2507.18164 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | text |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://arxiv.org/abs/2507.18164 |
| locations[1].id | doi:10.48550/arxiv.2507.18164 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.48550/arxiv.2507.18164 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5034102301 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-3177-8942 |
| authorships[0].author.display_name | Dingli Yu |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Yu, Dian |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5120016982 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Houqian Ding |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Ding, Houqian |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5107398497 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Yunyun Fan |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Fan, Yunyun |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5100941988 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Yongfeng Zhu |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Zhu, Yongfeng |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5120016983 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Ming Qi |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Qi, Ming |
| authorships[4].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/2507.18164 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-16T00:00:00 |
| display_name | Evaluation of PID Performance at CEPC and Optimization with Combined dN/dx and Time-of-Flight Data |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T10346 |
| primary_topic.field.id | https://openalex.org/fields/31 |
| primary_topic.field.display_name | Physics and Astronomy |
| primary_topic.score | 0.9872000217437744 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3106 |
| primary_topic.subfield.display_name | Nuclear and High Energy Physics |
| primary_topic.display_name | Magnetic confinement fusion research |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:2507.18164 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://arxiv.org/pdf/2507.18164 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/2507.18164 |
| primary_location.id | pmh:oai:arXiv.org:2507.18164 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | |
| primary_location.pdf_url | https://arxiv.org/pdf/2507.18164 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2507.18164 |
| publication_date | 2025-07-24 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index.A | 25, 118 |
| abstract_inverted_index.a | 3, 138, 161 |
| abstract_inverted_index.at | 11 |
| abstract_inverted_index.by | 31 |
| abstract_inverted_index.is | 29, 60 |
| abstract_inverted_index.of | 6, 21, 85, 121, 188 |
| abstract_inverted_index.on | 18 |
| abstract_inverted_index.to | 77, 116, 160 |
| abstract_inverted_index.OTK | 112, 125 |
| abstract_inverted_index.PID | 27, 58 |
| abstract_inverted_index.TPC | 94 |
| abstract_inverted_index.The | 57 |
| abstract_inverted_index.ToF | 110 |
| abstract_inverted_index.and | 43, 52, 66, 81, 87, 124, 132, 156, 181 |
| abstract_inverted_index.for | 177, 185 |
| abstract_inverted_index.the | 12, 38, 49, 93, 114, 144, 149, 170, 175 |
| abstract_inverted_index.CEPC | 171 |
| abstract_inverted_index.ITK, | 122 |
| abstract_inverted_index.TPC, | 123 |
| abstract_inverted_index.This | 0 |
| abstract_inverted_index.best | 150 |
| abstract_inverted_index.bins | 84 |
| abstract_inverted_index.both | 48 |
| abstract_inverted_index.from | 37, 47, 101, 111 |
| abstract_inverted_index.full | 19, 119 |
| abstract_inverted_index.kaon | 79, 163 |
| abstract_inverted_index.loss | 34 |
| abstract_inverted_index.only | 106 |
| abstract_inverted_index.show | 91 |
| abstract_inverted_index.that | 92, 141, 169 |
| abstract_inverted_index.time | 39 |
| abstract_inverted_index.with | 73, 153 |
| abstract_inverted_index.work | 1 |
| abstract_inverted_index.(ITK) | 51 |
| abstract_inverted_index.(OTK) | 54 |
| abstract_inverted_index.(PID) | 10 |
| abstract_inverted_index.(TPC) | 42 |
| abstract_inverted_index.(ToF) | 45 |
| abstract_inverted_index.14.3% | 107 |
| abstract_inverted_index.87.4% | 133 |
| abstract_inverted_index.91.8% | 162 |
| abstract_inverted_index.92.4% | 157 |
| abstract_inverted_index.96.8% | 130 |
| abstract_inverted_index.99.4% | 154 |
| abstract_inverted_index.These | 166 |
| abstract_inverted_index.based | 17 |
| abstract_inverted_index.clear | 183 |
| abstract_inverted_index.inner | 50 |
| abstract_inverted_index.outer | 53 |
| abstract_inverted_index.polar | 88 |
| abstract_inverted_index.study | 5 |
| abstract_inverted_index.under | 69 |
| abstract_inverted_index.using | 62 |
| abstract_inverted_index.while | 96 |
| abstract_inverted_index.25.7%. | 117 |
| abstract_inverted_index.across | 83 |
| abstract_inverted_index.alone, | 95 |
| abstract_inverted_index.angle. | 89 |
| abstract_inverted_index.energy | 33 |
| abstract_inverted_index.flavor | 179 |
| abstract_inverted_index.future | 186 |
| abstract_inverted_index.highly | 97 |
| abstract_inverted_index.purity | 82, 115, 134 |
| abstract_inverted_index.severe | 102 |
| abstract_inverted_index.timing | 189 |
| abstract_inverted_index.(CEPC), | 16 |
| abstract_inverted_index.(dN/dx) | 36 |
| abstract_inverted_index.84.6%). | 136 |
| abstract_inverted_index.Results | 90 |
| abstract_inverted_index.between | 64 |
| abstract_inverted_index.chamber | 41 |
| abstract_inverted_index.events. | 24 |
| abstract_inverted_index.optimal | 145 |
| abstract_inverted_index.overall | 151 |
| abstract_inverted_index.provide | 182 |
| abstract_inverted_index.purity, | 158 |
| abstract_inverted_index.purity. | 108 |
| abstract_inverted_index.regions | 75 |
| abstract_inverted_index.results | 167 |
| abstract_inverted_index.selects | 143 |
| abstract_inverted_index.silicon | 55 |
| abstract_inverted_index.suffers | 100 |
| abstract_inverted_index.tagging | 180 |
| abstract_inverted_index.unified | 26 |
| abstract_inverted_index.$Z$-pole | 23 |
| abstract_inverted_index.(99.3%), | 99 |
| abstract_inverted_index.Circular | 13 |
| abstract_inverted_index.Collider | 15 |
| abstract_inverted_index.achieves | 148 |
| abstract_inverted_index.baseline | 172 |
| abstract_inverted_index.detector | 146, 173, 190 |
| abstract_inverted_index.enhances | 127 |
| abstract_inverted_index.expected | 67 |
| abstract_inverted_index.fulfills | 174 |
| abstract_inverted_index.guidance | 184 |
| abstract_inverted_index.hadronic | 22 |
| abstract_inverted_index.improves | 113 |
| abstract_inverted_index.maximize | 78 |
| abstract_inverted_index.measured | 65 |
| abstract_inverted_index.momentum | 86 |
| abstract_inverted_index.multiple | 70 |
| abstract_inverted_index.particle | 8, 71 |
| abstract_inverted_index.presents | 2 |
| abstract_inverted_index.quality. | 165 |
| abstract_inverted_index.strategy | 28, 140 |
| abstract_inverted_index.yielding | 105 |
| abstract_inverted_index.(product: | 135 |
| abstract_inverted_index.achieving | 129 |
| abstract_inverted_index.combining | 32 |
| abstract_inverted_index.developed | 30 |
| abstract_inverted_index.efficient | 98 |
| abstract_inverted_index.optimized | 76 |
| abstract_inverted_index.precision | 178 |
| abstract_inverted_index.residuals | 63 |
| abstract_inverted_index.trackers. | 56 |
| abstract_inverted_index.efficiency | 80, 131, 155 |
| abstract_inverted_index.projection | 40 |
| abstract_inverted_index.simulation | 20 |
| abstract_inverted_index.combination | 120, 147 |
| abstract_inverted_index.constructed | 61 |
| abstract_inverted_index.demonstrate | 168 |
| abstract_inverted_index.dynamically | 142 |
| abstract_inverted_index.hypotheses, | 72 |
| abstract_inverted_index.information | 46 |
| abstract_inverted_index.observables | 68 |
| abstract_inverted_index.Furthermore, | 137 |
| abstract_inverted_index.discriminant | 59 |
| abstract_inverted_index.measurements | 35 |
| abstract_inverted_index.optimization | 187 |
| abstract_inverted_index.performance, | 128, 152 |
| abstract_inverted_index.pion-induced | 103 |
| abstract_inverted_index.requirements | 176 |
| abstract_inverted_index.Incorporating | 109 |
| abstract_inverted_index.comprehensive | 4 |
| abstract_inverted_index.corresponding | 159 |
| abstract_inverted_index.significantly | 126 |
| abstract_inverted_index.charged-hadron | 7 |
| abstract_inverted_index.contamination, | 104 |
| abstract_inverted_index.identification | 9, 74, 164 |
| abstract_inverted_index.time-of-flight | 44 |
| abstract_inverted_index.configurations. | 191 |
| abstract_inverted_index.Electron-Positron | 14 |
| abstract_inverted_index.momentum-dependent | 139 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile |