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Draft:Sergei V. Chekanov

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Sergei V. Chekanov
Born1969
{Soviet_Union, then Belarus
EducationDoctor of physics (philosophy)
Alma materBelarusian State University, Belarus and Radboud University Nijmegen, The Netherlands.
TitleDr
Scientific career
FieldsPhysics, Particle Physics, Experimental Physics
InstitutionsDESY and Argonne National Laboratory
WebsiteHome page


Sergei V. Chekanov (born 1969 in Minsk, Soviet Union then Belarus) is a Belarussian-American particle and experimental physicist. He is also a computational scientist who published several books on computations and data analysis [1] [2] [3]. He obtained his master degree in theoretical physics in 1992 from the Belarusian State University (Minsk, Belarus) and entered a Ph.D. position at the Academy of Science of Belarus. His main Ph.D. topic was the theory of 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 Radboud University Nijmegen, The Netherlands (1998). As a particle physicist, he worked at DESY laboratory (Hamburg, Germany), CERN laboratory (Geneva, Switzerland) and at Argonne National Laboratory (USA).

Professional activity

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S.V. Chekanov works in the field of particle physics at Argonne National Laboratory. He was a member of the L3 experiment/ CERN, ZEUS experiment / DESY and ATLAS experiment / CERN international experiments. His preferred physics areas of interest include QCD data analysis, physics beyond the Standard Model, physics performance of future HEP experiments, and design of software for current and future experiments. According his publication records in ORCID [4], he co-authored about 200 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.

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 2022 - 2024, he led a group of scientists at the LHC to publish a first article in 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 new physics phenomena were performed on replicas with large reconstruction losses. [5] [6] [7] [8] This method of using unsupervised machine learning trained on actual data, using the entire collision kinematics in the form of Rapidity Mass Matrix without Monte Carlo simulations, has been conceptualized by him in several publications during 2019-2022, see the references [40]-[41] of the paper.

Software for particle physics

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S.V.Chekanov led and implemented several large-scale software projects for high-energy particle physics, such as HepSim Monte Carlo repository [9] for collision events, Jas4pp analysis framework for particle physics [10] 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

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As a software designer, S.V.Chekanov was a primary developer of the DataMelt scientific program 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 and Jython programming languages. The program is described in the books published by Springer-Verlag (2010) [11] and Springer International (2016) [12]. The main focus of the books is scientific computing using 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 [13] 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 [14].

Since 2020 S.V.Chekanov was a lead developer for the non-for-profit organization called Knowledge Standards Foundation (KSF), which was founded by Wikipedia ex-founder Larry Sanger. As a member of the KSF, he explored the technical design and software implementations of the Encyclosphere which is expected to unite all world's online encyclopedias [15]. In May 2021, he created a new file format for storing encyclopedic content of wikis and online encyclopedias in general ZWI file format. In January 2021, he co-authored the FactSeek search tool [16] and then, in 2022, he launched the Encyclone search engine for searches in world's encyclopedias. In October 2021, he designed and programmed EncycloReader [17] that combines a search engine for online encyclopedias with a reader that applies a common standard to view encyclopedic articles. S.V.Chekanov is a founder, primary designer of the HandWiki encyclopedia (launched in Oct 2019) on computing, science, technology and general knowledge [18]. This encyclopedia uses an alternative publication policy compared to what is used in Wikipedia. HandWiki is non-for-profit and non-commercial.

Philosophical works

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In July 2024, S. Chekanov published a book titled "The Designed World of Information: Unveiling the Incredible Realm Beyond"[19] This work explores the concept of synchronicity, first introduced by 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.

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Books

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  • 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
  • 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
  • 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

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  1. ^ Springer author biography (2010), https://www.springer.com/us/book/9781849962865#aboutAuthors (retrieved Ap 2019)
  2. ^ Springer author biography (2016), [https://www.springer.com/us/book/9783319285290#aboutAuthors (retrieved April 2019)
  3. ^ Argonne Today, Article "Argonne physicist Sergei Chekanov publishes book on computing", Apr 5, 2016 [1]
  4. ^ Publications of S.V.Chekanov. ORCID digital identifier. ORCID iD 0000-0001-7314-7247
  5. ^ Press Release | Argonne National Laboratory Machine learning could help reveal undiscovered particles within data from the Large Hadron Collider. By Savannah Mitchem [Press Release. Argonne National Laboratory,April 15, 2024]
  6. ^ Phys. Org. April 15, https://phys.org/news/2024-04-machine-reveal-undiscovered-particles-large.html
  7. ^ NewWise, https://www.newswise.com/doescience/machine-learning-could-help-reveal-undiscovered-particles-within-data-from-the-large-hadron-collider
  8. ^ ATLAS physics briefing, https://atlas.cern/Updates/Briefing/Anomaly-Detection, (2023).
  9. ^ S.V.Chekanov, HepSim: a repository with predictions for high-energy physics experiments. Advances in High Energy Physics, vol. 2015, Article ID 136093, 7
  10. ^ S.V. Chekanov, G. Gavalian and N. A. Graf, “Jas4pp - a Data-Analysis Framework for Physics and Detector Studies” arXiv:2011.05329, Comp. Physics. Comm. 262 (2021) 107857, ANL-HEP-164101
  11. ^ "Scientific Data analysis using Jython Scripting and Java". Book. By S.V.Chekanov, Springer-Verlag, ISBN 978-1-84996-286-5, [2]
  12. ^ "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, [3]
  13. ^ Springer download Statistics of the book "Numeric Computation and Statistical Data Analysis on the Java Platform" [4]
  14. ^ jWork.ORG programming portal jwork.org (retrieved in Apr 2019)
  15. ^ Larry Sanger, Introducing the Encyclosphere, [5]. See the official Encyclosphere web page https://encyclosphere.org/
  16. ^ FactSeek.org is launched. jWork.org (2020) [6]
  17. ^ Online encyclopedia reader EncycloReader.org. [7], KSF
  18. ^ Handwiki. Scholarly Community Encyclopedia. https://encyclopedia.pub/entry/29762
  19. ^ Sergei V. Chekanov, The Designed World of Information: Unveiling the Incredible Realm Beyond. Publisher: IngramSpark (2024). Print ISBN: 9798990642836; eBook ISBN: 9798990642829
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