Selected Papers from the 4th MODE Workshop on Differentiable Programming for Experiment Design
A special issue of Particles (ISSN 2571-712X).
Deadline for manuscript submissions: 31 December 2024 | Viewed by 187
Special Issue Editors
2. Embedded Intelligent Systems LAB, Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, 97187 Luleå, Sweden
Interests: particle physics; particle detection; machine learning; data analysis; statistical methods
Interests: particle physics; astroparticle physics; cosmology; gravitational waves; machine learning in fundamental physics
Interests: high energy physics; computing; machine learning
Special Issue Information
Dear Colleagues,
The Special Issue will host selected papers from the 4th MODE (for Machine-learning Optimized Design of Experiments) Workshop on Differentiable Programming for Experiment Design, which will be held in Valencia, Spain, from 23 Sep 2024 to 25 Sep 2024 (https://indico.cern.ch/event/1380163/). The Article Processing Charge (APC) for submissions from the workshop will be waived, and articles will be published free of charge.
Prof. Dr. Tommaso Dorigo
Dr. Roberto Ruiz de Austri Bazan
Prof. Dr. Jose Salt
Dr. Pietro Vischia
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Particles is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- experimental particle physics
- machine learning
- design optimization
- differentiable programming
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