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{{Infobox scientist
| name = Sergei V. Chekanov
| image = S.v.chekanov.png
| birth_date = June 1969
| birth_place = {{wipe|Soviet Union}}, then {{wipe|Belarus}}
| education = Doctor of physics (philosophy)
| fields = [[Physics:Physics|Physics]], [[Physics:Particle physics|Particle Physics]], [[Physics:Experimental physics|Experimental Physics]]
| title= Dr
| alma_mater = [[Organization:Belarusian_State_University|Belarusian State University]], {{wipe|Belarus}} and [[Organization:Radboud University Nijmegen|Radboud University Nijmegen]], {{wipe|The Netherlands}}.
| workplaces =[[Organization:DESY|DESY]] and [[Organization:Argonne_National_Laboratory|Argonne National Laboratory]]
| doctoral_advisor = [[Biography:Vyacheslav_Ivanovich_Kuvshinov|V. I.Kuvshinov]], [[Biography: Ernst Wolfram Kittel|W. Kittel]]
| website = [http://jwork.org/chekanov Home page]
}}

'''Sergei V. Chekanov''' (born June 1969 in Minsk, {{wipe|Soviet Union}} then {{wipe|Belarus}}) is a Belarussian-American particle and experimental physicist. He is also a computational scientist who published several books on computations and data analysis
<ref>Springer author biography (2010), https://www.springer.com/us/book/9781849962865#aboutAuthors (retrieved Ap 2019)</ref>
<ref>Springer author biography (2016), [https://www.springer.com/us/book/9783319285290#aboutAuthors (retrieved April 2019)</ref>
<ref>Argonne Today, Article "Argonne physicist Sergei Chekanov publishes book on computing", Apr 5, 2016 [https://today.anl.gov/2016/04/argonne-physicist-sergei-chekanov-publishes-book-on-computing/]</ref>.
He obtained his master degree in theoretical physics in 1992 from the [[Organization:Belarusian_State_University|Belarusian State University]] (Minsk, {{wipe|Belarus}}) and entered a Ph.D. position at the Academy of Science of Belarus. His main Ph.D. topic was
the theory of [[Physics:Quantum chromodynamics|Quantum chromodynamics]] (1992-1995). Then he switched to a Ph.D. in experimental particle physics.
He holds a Ph.D in experimental particle physics from the [[Organization:Radboud University Nijmegen|Radboud University Nijmegen]], The Netherlands (1998). As a particle physicist, he worked at [[Organization:DESY|DESY laboratory]] (Hamburg, Germany),
[[Organization:CERN|CERN laboratory]] (Geneva, Switzerland) and at [[Organization:Argonne_National_Laboratory|Argonne National Laboratory]] (USA).

== Professional activity ==
In 2020, S. Chekanov was ranked #113 in his discipline according to the [[H-index]], corresponding to a top 30 position among Russian-speaking physicists.
<ref>The H-index of the top Russian-speaking physicists. http://www.expertcorps.ru/science/whoiswho/ci86?sortby=h (retrieved in Jan 2025).</ref>. His aggregate H-index is 262, and according to several metrics of the AD scientific index, his academic ranking in the United States ranges from #40 to #100 (depending on the index type) <ref>AD scientific index. S.Chekanov. https://www.adscientificindex.com/scientist/sergei-v-chekanov/4375765 (retrieved in Jan 2024)</ref>.

According the ORCID publication record
<ref>Publications of S.V.Chekanov. ORCID digital identifier. [https://orcid.org/0000-0001-7314-7247 ORCID iD 0000-0001-7314-7247]</ref>,
he co-authored about 220 professional papers (most of them are published in peer-reviewed journals) and other articles, including a dozen
of experimental papers from large-scale particle-colliding experiments. He contributed to physics results described in more in several thousand publications of international particle collider experiments.

Currently S.Chekanov works in the field of [[Physics:Particle_physics|particle physics]] at [[Organization:Argonne_National_Laboratory|Argonne National Laboratory]]. He was a member of the [[Physics:L3_(CERN)| L3 experiment]]/ CERN, [[Physics:ZEUS_(particle_detector)|ZEUS experiment]] / [[Organization:DESY|DESY]] and
[[Physics:ATLAS_experiment|ATLAS experiment]] / [[Organization:CERN|CERN]] international experiments.
His preferred areas of interest in physics include QCD data analysis, physics beyond the Standard Model, the performance of future HEP experiments, and the design of software for current and future experiments.

Among major physics highlights, he was a primary author of highest-precision F2cc measurements used to understand charm structure of the proton, evidence for strange pentaquarks (not confirmed) in ep, a first observation of the strange sea at HERA, a first observation of direct (anti) deuterons in ep, a first observation and measurements
of photons above the TeV (teraelectronvolt) energy and led many high-precision QCD measurements in e+e-/ep/pp collisions that establish the Standard Model. His current work is focused on searches for new physics beyond the Standard Model at the LHC.

In 2021 - 2025, Dr. S.Chekanov led a group of scientists at the [[Physics:Large Hadron Collider|LHC]]
to publish a first article in [[Physics:Particle_physics|particle physics]] where the entire collision events from the LHC collider were converted into "replicas" with the help of a deep neural network (autoencoder), and then searches for [[Physics:Physics_beyond_the_Standard_Model|new physics phenomena]] were performed on replicas with large reconstruction losses. <ref>
Press Release | Argonne National Laboratory
Machine learning could help reveal undiscovered particles within data from the Large Hadron Collider. By Savannah Mitchem [[https://www.anl.gov/article/machine-learning-could-help-reveal-undiscovered-particles-within-data-from-the-large-hadron-collider Press Release. Argonne National Laboratory,April 15, 2024]]</ref> <ref>Phys. Org. April 15, https://phys.org/news/2024-04-machine-reveal-undiscovered-particles-large.html</ref> <ref>NewWise, https://www.newswise.com/doescience/machine-learning-could-help-reveal-undiscovered-particles-within-data-from-the-large-hadron-collider</ref>
<ref>ATLAS physics briefing, https://atlas.cern/Updates/Briefing/Anomaly-Detection, (2023).</ref> This method of using unsupervised machine learning trained on actual data, using the entire collision kinematics in the form of [[Physics:Rapidity Mass Matrix|RMM objects]] without Monte Carlo simulations, has been conceptualized by him in several publications during 2019-2022, see the references [40]-[41] of the paper <ref>ATLAS Collaboration, Search for new phenomena in two-body invariant mass distributions using unsupervised machine learning for anomaly detection at 13 TeV with the ATLAS detector, CERN-EP-2023-112, https://arxiv.org/abs/2307.01612 (2023)</ref>.
This style of machine learning technique for anomaly detection offers a new paradigm for searching for new-physics phenomena in particle physics.

== Software for particle physics ==
S.V.Chekanov led and implemented several large-scale software projects for high-energy particle physics, such as [[Physics:HepSim|HepSim]] Monte Carlo repository for collision events, [[Software:Jas4pp|Jas4pp]] analysis framework for particle physics and other software packages.
He took several leadership roles, such as ATLAS experiment event display coordinator (2019-2021), QCD physics coordinator (2003-2018, ZEUS/HERA experiment), ATLAS upgrade calorimeter simulation coordinator (2016-2018) and other.

== Public activity ==
As a software designer, he was a primary developer of [[Software:DataMelt|DataMelt]] scientific program (original name [[Software:JHepWork|JHepWork]] (2005),[[Software:SCaViS|SCaViS]]) for numeric and statistical computations and several other scientific computing projects available from SourceForge.

As a book author on scientific computing, he wrote two books on numerical and statistical computations based on [[Java (programming language)|Java]] and [[Software:Jython|Jython]] programming languages.
The books have been published by Springer-Verlag (2010)
<ref>
"Scientific Data analysis using Jython Scripting and Java". Book. By S.V.Chekanov, Springer-Verlag, {{ISBN|978-1-84996-286-5}}, [https://www.springer.com/us/book/9781849962865]
</ref>
and Springer International (2016) <ref>"Numeric Computation and Statistical Data Analysis on the Java Platform" (Book). By S.V.Chekanov, Springer, (2016)
{{ISBN|978-3-319-28531-3}}, 700 pages, [https://www.springer.com/gp/book/9783319285290]</ref>. The main focus of the books is scientific computing using [[Java (programming language)| Java programming language]]
and the usage of Java scripting languages. According to the Springer International, the latter book was top 25% most downloadable books in 2016 and 2017 in the category "Advanced Information and Knowledge Processing". Since the publication of the book, Springer has detected 34k downloads
<ref>Springer download Statistics of the book "Numeric Computation and Statistical Data Analysis on the Java Platform" [https://www.springer.com/us/book/9783319285290] </ref>
until April 2019. He is also known for promoting open-source scientific computing for science and education as a founder of the jWork.ORG community portal <ref>jWork.ORG programming portal [https://jwork.org/ jwork.org] (retrieved in Apr 2019)</ref>.

S.Chekanov is a founder, primary designer and maintainer of the [[HandWiki]]
encyclopedia (launched in Oct 2019)<ref>[https://www.msn.com/en-gb/news/techandscience/handwiki-an-independent-research-oriented-online-encyclopedia/ar-AA1VDkd6 HandWiki: An independent research-oriented online encyclopedia]. By Maia Gruger. MSN.com / News Letter. Retrieved from [https://www.newsletter.co.uk/education/handwiki-an-independent-research-oriented-online-encyclopedia-5502391 Belfast News Letter], Feb. 4, 2026 (retrieved in Feb 12 2025)</ref>on computing, science, technology and general knowledge. This encyclopedia uses an alternative publication policy compared to what is used in Wikipedia. HandWiki is the #3 world's largest wiki in terms page counts. It has a larger number of articles than in <wipe>Wikipedia</wipe> for more than 10,000 categories dedicated to science and technology. HandWiki is non-for-profit and non-commercial.

In 2020, he joined to the [[Organization:Knowledge Standards Foundation|Knowledge Standards Foundation]] (KSF) team founded by Wikipedia ex-founder [[Biography:Larry Sanger|Larry Sanger]]. As a member of the KSF, he started to explore the technical design and software implementations of the [[Encyclosphere]] which is expected to unite all world's online encyclopedias <ref>Larry Sanger, Introducing the Encyclosphere, [https://larrysanger.org/2019/10/introducing-the-encyclosphere/]. See the official Encyclosphere web page https://encyclosphere.org/ </ref>. In May 2021, he created a new file format for storing encyclopedic content of wikis and online encyclopedias in general ([[ZWI file format]]). In Oct. 2021, he designed and programmed [[Software:Encycloreader|EncycloReader]] <ref>Online encyclopedia reader EncycloReader.org. [https://encycloreader.org], KSF</ref> that combines a search engine for online encyclopedias with a reader that applies a common standard to view encyclopedic articles. In 2022, he launched the [[Software:Encyclone|Encyclone]] search engine for searches in world's encyclopedias.

In 2026, S.V. Chekanov, together with [[Biography:Dmitry_Chernoshey|Dmitry Chernoshey]] and [[Biography:Harold Foppele|Harold Foppele]], co-founded a new non-for-profit organization, [[Organization:Knowledge_Media_Foundation|Knowledge Media Foundation (KMF)]], which operates the HandWiki encyclopedia and several other projects focused on decentralized publishing platforms. He serves on the organization’s board of directors.

In July 2024, S.Chekanov published a book titled "The Designed World of Information: Unveiling the Incredible Realm Beyond" <ref>Sergei V. Chekanov, The Designed World of Information: Unveiling the Incredible Realm Beyond. Publisher: IngramSpark (2024). Print ISBN: 9798990642836; eBook ISBN: 9798990642829</ref><ref>T. Smalsar, "Historical Coincidences as a New Argument for the Existence of God," Oct 2024, Medium [https://medium.com/@ermislearn/historical-coincidences-as-a-new-argument-for-the-existence-of-god-e6395a012ddc|paper]</ref>. This work explores the concept of synchronicity, first introduced by [[Biography:Carl Jung|Carl Jung]], and proposes a method for estimating the probability that synchronicity arises from pure chance and randomness. Chekanov applies this new technique to assess the likelihood of synchronicity in various historical coincidences. By demonstrating that the role of chance in these phenomena is improbable, he connects synchronicity to questions about the origin of the universe, biological evolution, quantum mechanics, elementary particles, and the remarkable beauty of natural laws. The book concludes that the synchronicity effect can be seen as evidence for the existence of God, although it does not dismiss the simulation theory. Where science falls short of providing definitive answers, this book offers insights that illuminate our consciousness and its relationship with the informational reality shaping the events and processes of our world. The original text is also available in Russian.

The material of the book by Dr. S.V. Chekanov was used for the video channel {{YouTube|handle=designedworld|title=Designed World}} <ref>{{YouTube|handle=designedworld|title=Designed World}} (retrieved on May 2025)</ref>, with video stories performed in the style [[Social:Scientific_Neo-romanticism|Scientific Neo-romanticism]], which emphasizes the understanding of scientific knowledge, combined with an emotional connection to nature, and explores the roles of consciousness, spirituality, imagination, and creativity in the age of informational reality. Dr. Chekanov was the principal author of several scripts based on his book, which were used for the channel’s videos. The accompanying music tracks were composed by Australian artist [[Biography:Scott_Buckley_(Composer)|Scott Buckley]], whose cinematic works in the Neo-classical style are released under the Creative Commons license. Over time, this distinctive narrative and visual style — Scientific Neo-Romanticism — became closely associated with Dr. Chekanov’s book The Designed World of Information."

==External links==
* [http://jwork.org/chekanov/ Official website (retrieved April 2019)]
* [https://www.springer.com/us/book/9783319285290#aboutAuthors Bibliographical details from Springer International (2016)]

==Books==
* [https://www.amazon.com/Designed-World-Information-Unveiling-Incredible/dp/B0D7QY7KT2 The Designed World of Information: Unveiling the Incredible Realm Beyond], S.V.Chekanov, June 2024, ‎ 460 pages, ISBN: 979-8-9906428-3-6, eBook ISBN: 979-8-9906428-2-9
* [https://link.springer.com/book/10.1007/978-3-319-28531-3 Numeric Computation and Statistical Data Analysis on the Java Platform], S.V.Chekanov, 710 pages. Springer International Publishing AG. 2016. ISBN 978-3-319-28531-3
* [https://www.amazon.com/Scientific-Scripting-Information-Knowledge-Processing/dp/1849962863 Scientific Data Analysis using Jython Scripting and Java], by Sergei V.Chekanov, 440 pages, Springer International Publishing AG, ISBN 978-1-84996-287-2, DOI: 10.1007/978-1-84996-287-2_1

== References ==
{{reflist}}

[[Category:Particle physicists]]
[[Category:Data scientists]]

{{Sourceattribution|Sergei V. Chekanov|1}}

Biography:Sergei V. Chekanov - Revision history

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