Search

Your search keyword '"A. Belousov"' showing total 14,091 results
Start Over Author "A. Belousov"

Refine your results

more »

more »

more »

more »

more »

more »

more »
14,091 results on '"A. Belousov"'

1. Impact of jet-production data on the next-to-next-to-leading-order determination of HERAPDF2.0 parton distributions

Author

I. Abt, R. Aggarwal, V. Andreev, M. Arratia, V. Aushev, A. Baghdasaryan, A. Baty, K. Begzsuren, O. Behnke, A. Belousov, A. Bertolin, I. Bloch, V. Boudry, G. Brandt, I. Brock, N. H. Brook, R. Brugnera, A. Bruni, A. Buniatyan, P. J. Bussey, L. Bystritskaya, A. Caldwell, A. J. Campbell, K. B. Cantun Avila, C. D. Catterall, K. Cerny, V. Chekelian, Z. Chen, J. Chwastowski, J. Ciborowski, R. Ciesielski, J. G. Contreras, A. M. Cooper-Sarkar, M. Corradi, L. Cunqueiro Mendez, J. Currie, J. Cvach, J. B. Dainton, K. Daum, R. K. Dementiev, A. Deshpande, C. Diaconu, S. Dusini, G. Eckerlin, S. Egli, E. Elsen, L. Favart, A. Fedotov, J. Feltesse, J. Ferrando, M. Fleischer, A. Fomenko, B. Foster, C. Gal, E. Gallo, D. Gangadharan, A. Garfagnini, J. Gayler, A. Gehrmann-De Ridder, T. Gehrmann, A. Geiser, L. K. Gladilin, E. W. N. Glover, L. Goerlich, N. Gogitidze, Yu. A. Golubkov, M. Gouzevitch, C. Grab, T. Greenshaw, G. Grindhammer, G. Grzelak, C. Gwenlan, D. Haidt, R. C. W. Henderson, J. Hladký, D. Hochman, D. Hoffmann, R. Horisberger, T. Hreus, F. Huber, A. Huss, P. M. Jacobs, M. Jacquet, T. Janssen, N. Z. Jomhari, A. W. Jung, H. Jung, I. Kadenko, M. Kapichine, U. Karshon, J. Katzy, P. Kaur, C. Kiesling, R. Klanner, M. Klein, U. Klein, C. Kleinwort, H. T. Klest, R. Kogler, I. A. Korzhavina, P. Kostka, N. Kovalchuk, J. Kretzschmar, D. Krücker, K. Krüger, M. Kuze, M. P. J. Landon, W. Lange, P. Laycock, S. H. Lee, B. B. Levchenko, S. Levonian, A. Levy, W. Li, J. Lin, K. Lipka, B. List, J. List, B. Lobodzinski, B. Löhr, E. Lohrmann, O. R. Long, A. Longhin, F. Lorkowski, O. Yu. Lukina, I. Makarenko, E. Malinovski, J. Malka, H.-U. Martyn, S. Masciocchi, S. J. Maxfield, A. Mehta, A. B. Meyer, J. Meyer, S. Mikocki, V. M. Mikuni, M. M. Mondal, T. Morgan, A. Morozov, K. Müller, B. Nachman, K. Nagano, J. D. Nam, Th. Naumann, P. R. Newman, C. Niebuhr, J. Niehues, G. Nowak, J. E. Olsson, Yu. Onishchuk, D. Ozerov, S. Park, C. Pascaud, G. D. Patel, E. Paul, E. Perez, A. Petrukhin, I. Picuric, I. Pidhurskyi, J. Pires, D. Pitzl, R. Polifka, A. Polini, S. Preins, M. Przybycień, A. Quintero, K. Rabbertz, V. Radescu, N. Raicevic, T. Ravdandorj, P. Reimer, E. Rizvi, P. Robmann, R. Roosen, A. Rostovtsev, M. Rotaru, M. Ruspa, D. P. C. Sankey, M. Sauter, E. Sauvan, S. Schmitt, B. A. Schmookler, U. Schneekloth, L. Schoeffel, A. Schöning, T. Schörner-Sadenius, F. Sefkow, I. Selyuzhenkov, M. Shchedrolosiev, L. M. Shcheglova, S. Shushkevich, I. O. Skillicorn, W. Słomiński, A. Solano, Y. Soloviev, P. Sopicki, D. South, V. Spaskov, A. Specka, L. Stanco, M. Steder, N. Stefaniuk, B. Stella, U. Straumann, C. Sun, B. Surrow, M. R. Sutton, T. Sykora, P. D. Thompson, K. Tokushuku, D. Traynor, B. Tseepeldorj, Z. Tu, O. Turkot, T. Tymieniecka, A. Valkárová, C. Vallée, P. Van Mechelen, A. Verbytskyi, W. A. T. Wan Abdullah, D. Wegener, K. Wichmann, M. Wing, E. Wünsch, S. Yamada, Y. Yamazaki, J. Žáček, A. F. Żarnecki, O. Zenaiev, J. Zhang, Z. Zhang, R. Žlebčík, H. Zohrabyan, F. Zomer, and (H1 and ZEUS collaborations)

Subjects
Astrophysics, QB460-466, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract The HERAPDF2.0 ensemble of parton distribution functions (PDFs) was introduced in 2015. The final stage is presented, a next-to-next-to-leading-order (NNLO) analysis of the HERA data on inclusive deep inelastic ep scattering together with jet data as published by the H1 and ZEUS collaborations. A perturbative QCD fit, simultaneously of $$\alpha _s(M_Z^2)$$ α s ( M Z 2 ) and the PDFs, was performed with the result $$\alpha _s(M_Z^2)= 0.1156 \pm 0.0011~\mathrm{(exp)}~ ^{+0.0001}_{-0.0002}~ \mathrm{(model}$$ α s ( M Z 2 ) = 0.1156 ± 0.0011 ( exp ) - 0.0002 + 0.0001 ( model $$\mathrm{+ parameterisation)}~ \pm 0.0029~\mathrm{(scale)}$$ + parameterisation ) ± 0.0029 ( scale ) . The PDF sets of HERAPDF2.0Jets NNLO were determined with separate fits using two fixed values of $$\alpha _s(M_Z^2)$$ α s ( M Z 2 ) , $$\alpha _s(M_Z^2)=0.1155$$ α s ( M Z 2 ) = 0.1155 and 0.118, since the latter value was already chosen for the published HERAPDF2.0 NNLO analysis based on HERA inclusive DIS data only. The different sets of PDFs are presented, evaluated and compared. The consistency of the PDFs determined with and without the jet data demonstrates the consistency of HERA inclusive and jet-production cross-section data. The inclusion of the jet data reduced the uncertainty on the gluon PDF. Predictions based on the PDFs of HERAPDF2.0Jets NNLO give an excellent description of the jet-production data used as input.

Published
2022
Full Text
View/download PDF

2. Erratum to: Determination of the strong coupling constant $${{\varvec{\alpha _{\mathrm{s}} (m_{\mathrm{Z}})}}}$$ α s ( m Z ) in next-to-next-to-leading order QCD using H1 jet cross section measurements

Author

H1 Collaboration, V. Andreev, A. Baghdasaryan, K. Begzsuren, A. Belousov, V. Bertone, A. Bolz, V. Boudry, G. Brandt, V. Brisson, D. Britzger, A. Buniatyan, A. Bylinkin, L. Bystritskaya, A. J. Campbell, K. B. Cantun Avila, K. Cerny, V. Chekelian, J. G. Contreras, J. Cvach, J. Currie, J. B. Dainton, K. Daum, C. Diaconu, M. Dobre, V. Dodonov, G. Eckerlin, S. Egli, E. Elsen, L. Favart, A. Fedotov, J. Feltesse, M. Fleischer, A. Fomenko, E. Gabathuler, J. Gayler, T. Gehrmann, S. Ghazaryan, L. Goerlich, N. Gogitidze, M. Gouzevitch, C. Grab, A. Grebenyuk, T. Greenshaw, G. Grindhammer, C. Gwenlan, D. Haidt, R. C. W. Henderson, J. Hladkỳ, D. Hoffmann, R. Horisberger, T. Hreus, F. Huber, A. Huss, M. Jacquet, X. Janssen, A. W. Jung, H. Jung, M. Kapichine, J. Katzy, C. Kiesling, M. Klein, C. Kleinwort, R. Kogler, P. Kostka, J. Kretzschmar, D. Krücker, K. Krüger, M. P. J. Landon, W. Lange, P. Laycock, A. Lebedev, S. Levonian, K. Lipka, B. List, J. List, B. Lobodzinski, E. Malinovski, H.-U. Martyn, S. J. Maxfield, A. Mehta, A. B. Meyer, H. Meyer, J. Meyer, S. Mikocki, A. Morozov, K. Müller, Th. Naumann, P. R. Newman, C. Niebuhr, J. Niehues, G. Nowak, J. E. Olsson, D. Ozerov, C. Pascaud, G. D. Patel, E. Perez, A. Petrukhin, I. Picuric, H. Pirumov, D. Pitzl, R. Plačakytė, R. Polifka, K. Rabbertz, V. Radescu, N. Raicevic, T. Ravdandorj, P. Reimer, E. Rizvi, P. Robmann, R. Roosen, A. Rostovtsev, M. Rotaru, D. Šálek, D. P. C. Sankey, M. Sauter, E. Sauvan, S. Schmitt, L. Schoeffel, A. Schöning, F. Sefkow, S. Shushkevich, Y. Soloviev, P. Sopicki, D. South, V. Spaskov, A. Specka, M. Steder, B. Stella, U. Straumann, M. R. Sutton, T. Sykora, P. D. Thompson, D. Traynor, P. Truöl, I. Tsakov, B. Tseepeldorj, A. Valkárová, C. Vallée, P. Van Mechelen, Y. Vazdik, D. Wegener, E. Wünsch, J. Žáček, Z. Zhang, R. Žlebčík, H. Zohrabyan, and F. Zomer

Subjects
Astrophysics, QB460-466, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract The determination of the strong coupling constant $$\alpha _{\mathrm{s}} (m_{\mathrm{Z}})$$ α s ( m Z ) from H1 inclusive and dijet cross section data [1] exploits perturbative QCD predictions in next-to-next-to-leading order (NNLO) [2–4]. An implementation error in the NNLO predictions was found [4] which changes the numerical values of the predictions and the resulting values of the fits. Using the corrected NNLO predictions together with inclusive jet and dijet data, the strong coupling constant is determined to be $$\alpha _{\mathrm{s}} (m_{\mathrm{Z}}) =0.1166\,(19)_{\mathrm{exp}}\,(24)_{\mathrm{th}}$$ α s ( m Z ) = 0.1166 ( 19 ) exp ( 24 ) th . Complementarily, $$\alpha _{\mathrm{s}} (m_{\mathrm{Z}})$$ α s ( m Z ) is determined together with parton distribution functions of the proton (PDFs) from jet and inclusive DIS data measured by the H1 experiment. The value $$\alpha _{\mathrm{s}} (m_{\mathrm{Z}}) =0.1147\,(25)_{\mathrm{tot}}$$ α s ( m Z ) = 0.1147 ( 25 ) tot obtained is consistent with the determination from jet data alone. Corrected figures and numerical results are provided and the discussion is adapted accordingly.

Published
2021
Full Text
View/download PDF

3. Erratum to: Measurement of jet production cross sections in deep-inelastic ep scattering at HERA

Author

V. Andreev, A. Baghdasaryan, K. Begzsuren, A. Belousov, A. Bolz, V. Boudry, G. Brandt, V. Brisson, D. Britzger, A. Buniatyan, A. Bylinkin, L. Bystritskaya, A. J. Campbell, K. B. Cantun Avila, K. Cerny, V. Chekelian, J. G. Contreras, J. Cvach, J. B. Dainton, K. Daum, C. Diaconu, M. Dobre, V. Dodonov, G. Eckerlin, S. Egli, E. Elsen, L. Favart, A. Fedotov, J. Feltesse, J. Ferencei, M. Fleischer, A. Fomenko, E. Gabathuler, J. Gayler, S. Ghazaryan, L. Goerlich, N. Gogitidze, M. Gouzevitch, C. Grab, A. Grebenyuk, T. Greenshaw, G. Grindhammer, D. Haidt, R. C. W. Henderson, J. Hladkỳ, D. Hoffmann, R. Horisberger, T. Hreus, F. Huber, M. Jacquet, X. Janssen, H. Jung, M. Kapichine, J. Katzy, C. Kiesling, M. Klein, C. Kleinwort, R. Kogler, P. Kostka, J. Kretzschmar, D. Krücker, K. Krüger, M. P. J. Landon, W. Lange, P. Laycock, A. Lebedev, S. Levonian, K. Lipka, B. List, J. List, B. Lobodzinski, E. Malinovski, H.-U. Martyn, S. J. Maxfield, A. Mehta, A. B. Meyer, H. Meyer, J. Meyer, S. Mikocki, A. Morozov, K. Müller, Th. Naumann, P. R. Newman, C. Niebuhr, G. Nowak, J. E. Olsson, D. Ozerov, C. Pascaud, G. D. Patel, E. Perez, A. Petrukhin, I. Picuric, H. Pirumov, D. Pitzl, R. Plačakytė, R. Polifka, V. Radescu, N. Raicevic, T. Ravdandorj, P. Reimer, E. Rizvi, P. Robmann, R. Roosen, A. Rostovtsev, M. Rotaru, D. Šálek, D. P. C. Sankey, M. Sauter, E. Sauvan, S. Schmitt, L. Schoeffel, A. Schöning, F. Sefkow, S. Shushkevich, Y. Soloviev, P. Sopicki, D. South, V. Spaskov, A. Specka, M. Steder, B. Stella, U. Straumann, T. Sykora, P. D. Thompson, D. Traynor, P. Truöl, I. Tsakov, B. Tseepeldorj, A. Valkárová, C. Vallée, P. Van Mechelen, Y. Vazdik, D. Wegener, E. Wünsch, J. Žáček, Z. Zhang, R. Žlebčík, H. Zohrabyan, and F. Zomer

Subjects
Astrophysics, QB460-466, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract The measurement of the jet cross sections by the H1 collaboration had been compared to various predictions including the next-to-next-to-leading order (NNLO) QCD calculations which are corrected in this erratum for an implementation error in one of the components of the NNLO calculations. The jet data and the other predictions remain unchanged. Eight figures, one table and conclusions are adapted accordingly, exhibiting even better agreement between the corrected NNLO predictions and the jet data.

Published
2021
Full Text
View/download PDF

4. Semi-Supervised Fine-Tuning of Vision Foundation Models with Content-Style Decomposition

Author

Drozdova, Mariia, Kinakh, Vitaliy, Belousov, Yury, Lastufka, Erica, and Voloshynovskiy, Slava

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

In this paper, we present a semi-supervised fine-tuning approach designed to improve the performance of pre-trained foundation models on downstream tasks with limited labeled data. By leveraging content-style decomposition within an information-theoretic framework, our method enhances the latent representations of pre-trained vision foundation models, aligning them more effectively with specific task objectives and addressing the problem of distribution shift. We evaluate our approach on multiple datasets, including MNIST, its augmented variations (with yellow and white stripes), CIFAR-10, SVHN, and GalaxyMNIST. The experiments show improvements over supervised finetuning baseline of pre-trained models, particularly in low-labeled data regimes, across both frozen and trainable backbones for the majority of the tested datasets., Comment: preprint

Published
2024

5. Evaluation of Security of ML-based Watermarking: Copy and Removal Attacks

Author

Kinakh, Vitaliy, Pulfer, Brian, Belousov, Yury, Fernandez, Pierre, Furon, Teddy, and Voloshynovskiy, Slava

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

The vast amounts of digital content captured from the real world or AI-generated media necessitate methods for copyright protection, traceability, or data provenance verification. Digital watermarking serves as a crucial approach to address these challenges. Its evolution spans three generations: handcrafted, autoencoder-based, and foundation model based methods. While the robustness of these systems is well-documented, the security against adversarial attacks remains underexplored. This paper evaluates the security of foundation models' latent space digital watermarking systems that utilize adversarial embedding techniques. A series of experiments investigate the security dimensions under copy and removal attacks, providing empirical insights into these systems' vulnerabilities. All experimental codes and results are available at https://github.com/vkinakh/ssl-watermarking-attacks .

Published
2024

6. MuJoCo MPC for Humanoid Control: Evaluation on HumanoidBench

Author

Meser, Moritz, Bhatt, Aditya, Belousov, Boris, and Peters, Jan

Subjects
Computer Science - Robotics, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

We tackle the recently introduced benchmark for whole-body humanoid control HumanoidBench using MuJoCo MPC. We find that sparse reward functions of HumanoidBench yield undesirable and unrealistic behaviors when optimized; therefore, we propose a set of regularization terms that stabilize the robot behavior across tasks. Current evaluations on a subset of tasks demonstrate that our proposed reward function allows achieving the highest HumanoidBench scores while maintaining realistic posture and smooth control signals. Our code is publicly available and will become a part of MuJoCo MPC, enabling rapid prototyping of robot behaviors., Comment: 3 pages, 3 figures, submitted to IEEE Conference on Robotics and Automation (ICRA@40)

Published
2024

7. Measurement of charged particle multiplicity distributions in DIS at HERA and its implication to entanglement entropy of partons

Author

V. Andreev, A. Baghdasaryan, A. Baty, K. Begzsuren, A. Belousov, A. Bolz, V. Boudry, G. Brandt, D. Britzger, A. Buniatyan, L. Bystritskaya, A. J. Campbell, K. B. Cantun Avila, K. Cerny, V. Chekelian, Z. Chen, J. G. Contreras, J. Cvach, J. B. Dainton, K. Daum, A. Deshpande, C. Diaconu, G. Eckerlin, S. Egli, E. Elsen, L. Favart, A. Fedotov, J. Feltesse, M. Fleischer, A. Fomenko, C. Gal, J. Gayler, L. Goerlich, N. Gogitidze, M. Gouzevitch, C. Grab, A. Grebenyuk, T. Greenshaw, G. Grindhammer, D. Haidt, R. C. W. Henderson, J. Hladkỳ, D. Hoffmann, R. Horisberger, T. Hreus, F. Huber, M. Jacquet, X. Janssen, A. W. Jung, H. Jung, M. Kapichine, J. Katzy, C. Kiesling, M. Klein, C. Kleinwort, R. Kogler, P. Kostka, J. Kretzschmar, D. Krücker, K. Krüger, M. P. J. Landon, W. Lange, P. Laycock, A. Lebedev, S. Levonian, K. Lipka, B. List, J. List, W. Li, B. Lobodzinski, E. Malinovski, H.-U. Martyn, S. J. Maxfield, A. Mehta, A. B. Meyer, H. Meyer, J. Meyer, S. Mikocki, M. M. Mondal, A. Morozov, K. Müller, Th. Naumann, P. R. Newman, C. Niebuhr, G. Nowak, J. E. Olsson, D. Ozerov, S. Park, C. Pascaud, G. D. Patel, E. Perez, A. Petrukhin, I. Picuric, D. Pitzl, R. Polifka, V. Radescu, N. Raicevic, T. Ravdandorj, P. Reimer, E. Rizvi, P. Robmann, R. Roosen, A. Rostovtsev, M. Rotaru, D. P. C. Sankey, M. Sauter, E. Sauvan, S. Schmitt, B. A. Schmookler, L. Schoeffel, A. Schöning, F. Sefkow, S. Shushkevich, Y. Soloviev, P. Sopicki, D. South, V. Spaskov, A. Specka, M. Steder, B. Stella, U. Straumann, T. Sykora, P. D. Thompson, D. Traynor, P. Truöl, B. Tseepeldorj, Z. Tu, T. Ullrich, A. Valkárová, C. Vallée, P. Van Mechelen, D. Wegener, E. Wünsch, J. Žáček, J. Zhang, Z. Zhang, R. Žlebčík, H. Zohrabyan, and F. Zomer

Subjects
Astrophysics, QB460-466, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract Charged particle multiplicity distributions in positron-proton deep inelastic scattering at a centre-of-mass energy $$\sqrt{s}=319$$ s = 319 GeV are measured. The data are collected with the H1 detector at HERA corresponding to an integrated luminosity of 136 pb $$^{-1}$$ - 1 . Charged particle multiplicities are measured as a function of photon virtuality $$Q^2$$ Q 2 , inelasticity y and pseudorapidity $$\eta $$ η in the laboratory and the hadronic centre-of-mass frames. Predictions from different Monte Carlo models are compared to the data. The first and second moments of the multiplicity distributions are determined and the KNO scaling behaviour is investigated. The multiplicity distributions as a function of $$Q^2$$ Q 2 and the Bjorken variable $$x_{\mathrm{bj}}$$ x bj are converted to the hadron entropy $$S_{\mathrm{hadron}}$$ S hadron , and predictions from a quantum entanglement model are tested.

Published
2021
Full Text
View/download PDF

8. Measurement of exclusive $${\varvec{{{{\pi ^+\pi ^-}}}}}$$ π + π - and $${\varvec{{{{\rho ^0}}}}}$$ ρ 0 meson photoproduction at HERA

Author

V. Andreev, A. Baghdasaryan, A. Baty, K. Begzsuren, A. Belousov, A. Bolz, V. Boudry, G. Brandt, D. Britzger, A. Buniatyan, L. Bystritskaya, A. J. Campbell, K. B. Cantun Avila, K. Cerny, V. Chekelian, Z. Chen, J. G. Contreras, J. Cvach, J. B. Dainton, K. Daum, A. Deshpande, C. Diaconu, G. Eckerlin, S. Egli, E. Elsen, L. Favart, A. Fedotov, J. Feltesse, M. Fleischer, A. Fomenko, C. Gal, J. Gayler, L. Goerlich, N. Gogitidze, M. Gouzevitch, C. Grab, A. Grebenyuk, T. Greenshaw, G. Grindhammer, D. Haidt, R. C. W. Henderson, J. Hladkỳ, D. Hoffmann, R. Horisberger, T. Hreus, F. Huber, M. Jacquet, X. Janssen, A. W. Jung, H. Jung, M. Kapichine, J. Katzy, C. Kiesling, M. Klein, C. Kleinwort, R. Kogler, P. Kostka, J. Kretzschmar, D. Krücker, K. Krüger, M. P. J. Landon, W. Lange, P. Laycock, A. Lebedev, S. Levonian, K. Lipka, B. List, J. List, W. Li, B. Lobodzinski, E. Malinovski, H.-U. Martyn, S. J. Maxfield, A. Mehta, A. B. Meyer, H. Meyer, J. Meyer, S. Mikocki, M. M. Mondal, A. Morozov, K. Müller, Th. Naumann, P. R. Newman, C. Niebuhr, G. Nowak, J. E. Olsson, D. Ozerov, S. Park, C. Pascaud, G. D. Patel, E. Perez, A. Petrukhin, I. Picuric, D. Pitzl, R. Polifka, V. Radescu, N. Raicevic, T. Ravdandorj, P. Reimer, E. Rizvi, P. Robmann, R. Roosen, A. Rostovtsev, M. Rotaru, D. P. C. Sankey, M. Sauter, E. Sauvan, S. Schmitt, B. A. Schmookler, L. Schoeffel, A. Schöning, F. Sefkow, S. Shushkevich, Y. Soloviev, P. Sopicki, D. South, V. Spaskov, A. Specka, M. Steder, B. Stella, U. Straumann, T. Sykora, P. D. Thompson, D. Traynor, P. Truöl, B. Tseepeldorj, Z. Tu, A. Valkárová, C. Vallée, P. Van Mechelen, D. Wegener, E. Wünsch, J. Žáček, J. Zhang, Z. Zhang, R. Žlebčík, H. Zohrabyan, and F. Zomer

Subjects
Astrophysics, QB460-466, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract Exclusive photoproduction of $${{\rho ^0}} (770)$$ ρ 0 ( 770 ) mesons is studied using the H1 detector at the ep collider HERA. A sample of about 900,000 events is used to measure single- and double-differential cross sections for the reaction $$\gamma p \rightarrow \pi ^{+}\pi ^{-}Y$$ γ p → π + π - Y . Reactions where the proton stays intact ( $${{{m_Y}} {=}m_p}$$ m Y = m p ) are statistically separated from those where the proton dissociates to a low-mass hadronic system ( $$m_p{

Published
2020
Full Text
View/download PDF

9. Meander diagrams of virtual knots

Author

Belousov, Y., Chernov, V., and Malyutin, A.

Subjects
Mathematics - Geometric Topology
Abstract

For classical knots, there is a concept of (semi)meander diagrams; in this short note we generalize this concept to virtual knots and prove that the classes of meander and semimeander diagrams are universal (this was known for classical knots). We also introduce a new class of invariants for virtual knots -- virtual $k$-arc crossing numbers., Comment: 6 pages, 2 figures

Published
2024

10. Reflection operator and hypergeometry II: $SL(2, \mathbb{C})$ spin chain

Author

Antonenko, P., Belousov, N., Derkachov, S., and Valinevich, P.

Subjects
Mathematical Physics, High Energy Physics - Theory, Mathematics - Representation Theory, Nonlinear Sciences - Exactly Solvable and Integrable Systems
Abstract

We consider noncompact open $SL(2, \mathbb{C})$ spin chain and construct eigenfunctions of $B$-element of monodromy matrix for the simplest case of the chain with one site. The reflection operator appearing in this construction can be used to express eigenfunction for $n$ sites in terms of the eigenfunction for $n-1$ sites, this general result is briefly announced. We prove orthogonality and completeness of constructed eigenfunctions in the case of one site, express them in terms of the hypergeometric function of the complex field and derive the equation for the reflection operator with the general $SL(2,\mathbb{C})$-invariant $\mathbb{R}$-operator.

Published
2024

11. Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning

Author

Vincent, Théo, Wahren, Fabian, Peters, Jan, Belousov, Boris, and D'Eramo, Carlo

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Deep Reinforcement Learning (RL) is well known for being highly sensitive to hyperparameters, requiring practitioners substantial efforts to optimize them for the problem at hand. In recent years, the field of automated Reinforcement Learning (AutoRL) has grown in popularity by trying to address this issue. However, these approaches typically hinge on additional samples to select well-performing hyperparameters, hindering sample-efficiency and practicality in RL. Furthermore, most AutoRL methods are heavily based on already existing AutoML methods, which were originally developed neglecting the additional challenges inherent to RL due to its non-stationarities. In this work, we propose a new approach for AutoRL, called Adaptive $Q$-Network (AdaQN), that is tailored to RL to take into account the non-stationarity of the optimization procedure without requiring additional samples. AdaQN learns several $Q$-functions, each one trained with different hyperparameters, which are updated online using the $Q$-function with the smallest approximation error as a shared target. Our selection scheme simultaneously handles different hyperparameters while coping with the non-stationarity induced by the RL optimization procedure and being orthogonal to any critic-based RL algorithm. We demonstrate that AdaQN is theoretically sound and empirically validate it in MuJoCo control problems, showing benefits in sample-efficiency, overall performance, training stability, and robustness to stochasticity., Comment: Preprint

Published
2024

13. What Matters for Active Texture Recognition With Vision-Based Tactile Sensors

Author

Böhm, Alina, Schneider, Tim, Belousov, Boris, Kshirsagar, Alap, Lin, Lisa, Doerschner, Katja, Drewing, Knut, Rothkopf, Constantin A., and Peters, Jan

Subjects
Computer Science - Robotics, Computer Science - Machine Learning
Abstract

This paper explores active sensing strategies that employ vision-based tactile sensors for robotic perception and classification of fabric textures. We formalize the active sampling problem in the context of tactile fabric recognition and provide an implementation of information-theoretic exploration strategies based on minimizing predictive entropy and variance of probabilistic models. Through ablation studies and human experiments, we investigate which components are crucial for quick and reliable texture recognition. Along with the active sampling strategies, we evaluate neural network architectures, representations of uncertainty, influence of data augmentation, and dataset variability. By evaluating our method on a previously published Active Clothing Perception Dataset and on a real robotic system, we establish that the choice of the active exploration strategy has only a minor influence on the recognition accuracy, whereas data augmentation and dropout rate play a significantly larger role. In a comparison study, while humans achieve 66.9% recognition accuracy, our best approach reaches 90.0% in under 5 touches, highlighting that vision-based tactile sensors are highly effective for fabric texture recognition., Comment: 7 pages, 9 figures, accepted at 2024 IEEE International Conference on Robotics and Automation (ICRA)

Published
2024

14. K-stability of Fano threefolds of rank 3 and degree 14

Author

Belousov, Grigory and Loginov, Konstantin

Subjects
Mathematics - Algebraic Geometry
Abstract

We prove that all general smooth Fano threefolds of Picard rank $3$ and degree $14$ are K-stable, where the generality condition is stated explicitly., Comment: arXiv admin note: text overlap with arXiv:2206.12208

Published
2024

15. Iterated $Q$-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning

Author

Vincent, Théo, Palenicek, Daniel, Belousov, Boris, Peters, Jan, and D'Eramo, Carlo

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

The vast majority of Reinforcement Learning methods is largely impacted by the computation effort and data requirements needed to obtain effective estimates of action-value functions, which in turn determine the quality of the overall performance and the sample-efficiency of the learning procedure. Typically, action-value functions are estimated through an iterative scheme that alternates the application of an empirical approximation of the Bellman operator and a subsequent projection step onto a considered function space. It has been observed that this scheme can be potentially generalized to carry out multiple iterations of the Bellman operator at once, benefiting the underlying learning algorithm. However, till now, it has been challenging to effectively implement this idea, especially in high-dimensional problems. In this paper, we introduce iterated $Q$-Network (iQN), a novel principled approach that enables multiple consecutive Bellman updates by learning a tailored sequence of action-value functions where each serves as the target for the next. We show that iQN is theoretically grounded and that it can be seamlessly used in value-based and actor-critic methods. We empirically demonstrate the advantages of iQN in Atari $2600$ games and MuJoCo continuous control problems., Comment: Preprint

Published
2024

16. From Variability to Stability: Advancing RecSys Benchmarking Practices

Author

Shevchenko, Valeriy, Belousov, Nikita, Vasilev, Alexey, Zholobov, Vladimir, Sosedka, Artyom, Semenova, Natalia, Volodkevich, Anna, Savchenko, Andrey, and Zaytsev, Alexey

Subjects
Computer Science - Information Retrieval, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

In the rapidly evolving domain of Recommender Systems (RecSys), new algorithms frequently claim state-of-the-art performance based on evaluations over a limited set of arbitrarily selected datasets. However, this approach may fail to holistically reflect their effectiveness due to the significant impact of dataset characteristics on algorithm performance. Addressing this deficiency, this paper introduces a novel benchmarking methodology to facilitate a fair and robust comparison of RecSys algorithms, thereby advancing evaluation practices. By utilizing a diverse set of $30$ open datasets, including two introduced in this work, and evaluating $11$ collaborative filtering algorithms across $9$ metrics, we critically examine the influence of dataset characteristics on algorithm performance. We further investigate the feasibility of aggregating outcomes from multiple datasets into a unified ranking. Through rigorous experimental analysis, we validate the reliability of our methodology under the variability of datasets, offering a benchmarking strategy that balances quality and computational demands. This methodology enables a fair yet effective means of evaluating RecSys algorithms, providing valuable guidance for future research endeavors., Comment: 8 pages with 11 figures

Published
2024
Full Text
View/download PDF

17. Tunable Shape Oscillations of Adaptive Droplets

Author

Dullweber, Tim, Belousov, Roman, and Erzberger, Anna

Subjects
Condensed Matter - Soft Condensed Matter, Condensed Matter - Statistical Mechanics, Physics - Biological Physics
Abstract

Living materials adapt their shape to signals from the environment, yet the impact of shape changes on signal processing and the associated feedback dynamics remain unclear. We derive coarse-grained equations for droplets that adjust their interfacial tension in response to signals exchanged at contact surfaces, from the microscopic biophysics of adhesion and signaling. We find that droplet pairs exhibit symmetry-breaking, excitability, and oscillations. The underlying critical points reveal novel mechanisms for physical signal processing through shape adaptation in soft active materials.

Published
2024

24. Determination of electroweak parameters in polarised deep-inelastic scattering at HERA

Author

V. Andreev, A. Baghdasaryan, K. Begzsuren, A. Belousov, A. Bolz, V. Boudry, G. Brandt, V. Brisson, D. Britzger, A. Buniatyan, A. Bylinkin, L. Bystritskaya, A. J. Campbell, K. B. Cantun Avila, K. Cerny, V. Chekelian, J. G. Contreras, J. Cvach, J. B. Dainton, K. Daum, C. Diaconu, M. Dobre, G. Eckerlin, S. Egli, E. Elsen, L. Favart, A. Fedotov, J. Feltesse, M. Fleischer, A. Fomenko, J. Gayler, L. Goerlich, N. Gogitidze, M. Gouzevitch, C. Grab, A. Grebenyuk, T. Greenshaw, G. Grindhammer, D. Haidt, R. C. W. Henderson, J. Hladkỳ, D. Hoffmann, R. Horisberger, T. Hreus, F. Huber, M. Jacquet, X. Janssen, A. W. Jung, H. Jung, M. Kapichine, J. Katzy, C. Kiesling, M. Klein, C. Kleinwort, R. Kogler, P. Kostka, J. Kretzschmar, D. Krücker, K. Krüger, M. P. J. Landon, W. Lange, P. Laycock, A. Lebedev, S. Levonian, K. Lipka, B. List, J. List, B. Lobodzinski, E. Malinovski, H.-U. Martyn, S. J. Maxfield, A. Mehta, A. B. Meyer, H. Meyer, J. Meyer, S. Mikocki, A. Morozov, K. Müller, Th. Naumann, P. R. Newman, C. Niebuhr, G. Nowak, J. E. Olsson, D. Ozerov, C. Pascaud, G. D. Patel, E. Perez, A. Petrukhin, I. Picuric, D. Pitzl, R. Polifka, V. Radescu, N. Raicevic, T. Ravdandorj, P. Reimer, E. Rizvi, P. Robmann, R. Roosen, A. Rostovtsev, M. Rotaru, D. Šálek, D. P. C. Sankey, M. Sauter, E. Sauvan, S. Schmitt, L. Schoeffel, A. Schöning, F. Sefkow, S. Shushkevich, Y. Soloviev, P. Sopicki, D. South, V. Spaskov, A. Specka, H. Spiesberger, M. Steder, B. Stella, U. Straumann, T. Sykora, P. D. Thompson, D. Traynor, P. Truöl, I. Tsakov, B. Tseepeldorj, A. Valkárová, C. Vallée, P. Van Mechelen, Y. Vazdik, D. Wegener, E. Wünsch, J. Žáček, Z. Zhang, R. Žlebčík, H. Zohrabyan, and F. Zomer

Subjects
Astrophysics, QB460-466, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract The parameters of the electroweak theory are determined in a combined electroweak and QCD analysis using all deep-inelastic $$e^+p$$ e+p and $$e^-p$$ e-p neutral current and charged current scattering cross sections published by the H1 Collaboration, including data with longitudinally polarised lepton beams. Various fits to Standard Model parameters in the on-shell scheme are performed. The mass of the W boson is determined as $$m_W=80.520\pm 0.115~\mathrm {GeV} $$ mW=80.520±0.115GeV . The axial-vector and vector couplings of the light quarks to the Z boson are also determined. Both results improve the precision of previous H1 determinations based on HERA-I data by about a factor of two. Possible scale dependence of the weak coupling parameters in both neutral and charged current interactions beyond the Standard Model is also studied. All results are found to be consistent with the Standard Model expectations.

Published
2018
Full Text
View/download PDF

25. Combination and QCD analysis of charm and beauty production cross-section measurements in deep inelastic ep scattering at HERA

Author

H. Abramowicz, I. Abt, L. Adamczyk, M. Adamus, R. Aggarwal, V. Andreev, S. Antonelli, V. Aushev, A. Baghdasaryan, K. Begzsuren, O. Behnke, U. Behrens, A. Belousov, A. Bertolin, I. Bloch, A. Bolz, V. Boudry, G. Brandt, V. Brisson, D. Britzger, I. Brock, N. H. Brook, R. Brugnera, A. Bruni, A. Buniatyan, P. J. Bussey, A. Bylinkin, L. Bystritskaya, A. Caldwell, A. J. Campbell, K. B. Cantun Avila, M. Capua, C. D. Catterall, K. Cerny, V. Chekelian, J. Chwastowski, J. Ciborowski, R. Ciesielski, J. G. Contreras, A. M. Cooper-Sarkar, M. Corradi, J. Cvach, J. B. Dainton, K. Daum, R. K. Dementiev, R. C. E. Devenish, C. Diaconu, M. Dobre, S. Dusini, G. Eckerlin, S. Egli, E. Elsen, L. Favart, A. Fedotov, J. Feltesse, M. Fleischer, A. Fomenko, B. Foster, E. Gallo, A. Garfagnini, J. Gayler, A. Geiser, A. Gizhko, L. K. Gladilin, L. Goerlich, N. Gogitidze, Yu. A. Golubkov, M. Gouzevitch, C. Grab, A. Grebenyuk, T. Greenshaw, G. Grindhammer, G. Grzelak, C. Gwenlan, D. Haidt, R. C. W. Henderson, J. Hladkỳ, O. Hlushchenko, D. Hochman, D. Hoffmann, R. Horisberger, T. Hreus, F. Huber, Z. A. Ibrahim, Y. Iga, M. Jacquet, X. Janssen, N. Z. Jomhari, A. W. Jung, H. Jung, I. Kadenko, S. Kananov, M. Kapichine, U. Karshon, J. Katzy, P. Kaur, C. Kiesling, D. Kisielewska, R. Klanner, M. Klein, U. Klein, C. Kleinwort, R. Kogler, I. A. Korzhavina, P. Kostka, A. Kotański, N. Kovalchuk, H. Kowalski, J. Kretzschmar, D. Krücker, K. Krüger, B. Krupa, O. Kuprash, M. Kuze, M. P. J. Landon, W. Lange, P. Laycock, A. Lebedev, B. B. Levchenko, S. Levonian, A. Levy, V. Libov, K. Lipka, M. Lisovyi, B. List, J. List, B. Lobodzinski, B. Löhr, E. Lohrmann, A. Longhin, O. Yu. Lukina, I. Makarenko, E. Malinovski, J. Malka, H. -U. Martyn, S. Masciocchi, S. J. Maxfield, A. Mehta, A. B. Meyer, H. Meyer, J. Meyer, S. Mikocki, F. Mohamad Idris, N. Mohammad Nasir, A. Morozov, K. Müller, V. Myronenko, K. Nagano, J. D. Nam, Th. Naumann, P. R. Newman, M. Nicassio, C. Niebuhr, G. Nowak, J. E. Olsson, J. Onderwaater, Yu. Onishchuk, D. Ozerov, C. Pascaud, G. D. Patel, E. Paul, E. Perez, W. Perlański, A. Petrukhin, I. Picuric, H. Pirumov, D. Pitzl, N. S. Pokrovskiy, R. Polifka, A. Polini, M. Przybycień, V. Radescu, N. Raicevic, T. Ravdandorj, P. Reimer, E. Rizvi, P. Robmann, R. Roosen, A. Rostovtsev, M. Rotaru, M. Ruspa, D. Šálek, D. P. C. Sankey, M. Sauter, E. Sauvan, D. H. Saxon, M. Schioppa, S. Schmitt, U. Schneekloth, L. Schoeffel, A. Schöning, T. Schörner-Sadenius, F. Sefkow, I. Selyuzhenkov, L. M. Shcheglova, S. Shushkevich, Yu. Shyrma, I. O. Skillicorn, W. Słomiński, A. Solano, Y. Soloviev, P. Sopicki, D. South, V. Spaskov, A. Specka, L. Stanco, M. Steder, N. Stefaniuk, B. Stella, A. Stern, P. Stopa, U. Straumann, B. Surrow, T. Sykora, J. Sztuk-Dambietz, E. Tassi, P. D. Thompson, K. Tokushuku, J. Tomaszewska, D. Traynor, P. Truöl, I. Tsakov, B. Tseepeldorj, T. Tsurugai, M. Turcato, O. Turkot, T. Tymieniecka, A. Valkárová, C. Vallée, P. Van Mechelen, Y. Vazdik, A. Verbytskyi, W. A. T. Wan Abdullah, D. Wegener, K. Wichmann, M. Wing, E. Wünsch, S. Yamada, Y. Yamazaki, J. Žáček, A. F. Żarnecki, L. Zawiejski, O. Zenaiev, Z. Zhang, B. O. Zhautykov, R. Žlebčík, H. Zohrabyan, and F. Zomer

Subjects
Astrophysics, QB460-466, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract Measurements of open charm and beauty production cross sections in deep inelastic ep scattering at HERA from the H1 and ZEUS Collaborations are combined. Reduced cross sections are obtained in the kinematic range of negative four-momentum transfer squared of the photon $$2.5~\hbox {GeV}^2\le Q^2 \le 2000\, \hbox {GeV}^2$$ 2.5GeV2≤Q2≤2000GeV2 and Bjorken scaling variable $$3 \cdot 10^{-5} \le x_\mathrm{Bj} \le 5 \cdot 10^{-2}$$ 3·10-5≤xBj≤5·10-2 . The combination method accounts for the correlations of the statistical and systematic uncertainties among the different datasets. Perturbative QCD calculations are compared to the combined data. A next-to-leading order QCD analysis is performed using these data together with the combined inclusive deep inelastic scattering cross sections from HERA. The running charm- and beauty-quark masses are determined as $$m_c(m_c) = 1.290^{+0.046}_{-0.041} \mathrm{(exp/fit)}$$ mc(mc)=1.290-0.041+0.046(exp/fit) $${}^{+0.062}_{-0.014} \mathrm{(model)}$$ -0.014+0.062(model) $${}^{+0.003}_{-0.031} \mathrm{(parameterisation)}$$ -0.031+0.003(parameterisation) GeV and $$m_b(m_b) = 4.049^{+0.104}_{-0.109} \mathrm{(exp/fit)}$$ mb(mb)=4.049-0.109+0.104(exp/fit) $${}^{+0.090}_{-0.032} \mathrm{(model)}$$ -0.032+0.090(model) $${}^{+0.001}_{-0.031} \mathrm{(parameterisation)}~\mathrm{GeV}$$ -0.031+0.001(parameterisation)GeV .

Published
2018
Full Text
View/download PDF

26. Determination of the strong coupling constant $${\varvec{{\alpha _\mathrm{s} (m_\mathrm{Z})}}}$$ α s ( m Z ) in next-to-next-to-leading order QCD using H1 jet cross section measurements

Author

V. Andreev, A. Baghdasaryan, K. Begzsuren, A. Belousov, V. Bertone, A. Bolz, V. Boudry, G. Brandt, V. Brisson, D. Britzger, A. Buniatyan, A. Bylinkin, L. Bystritskaya, A. J. Campbell, K. B. Cantun Avila, K. Cerny, V. Chekelian, J. G. Contreras, J. Cvach, J. Currie, J. B. Dainton, K. Daum, C. Diaconu, M. Dobre, V. Dodonov, G. Eckerlin, S. Egli, E. Elsen, L. Favart, A. Fedotov, J. Feltesse, M. Fleischer, A. Fomenko, E. Gabathuler, J. Gayler, T. Gehrmann, S. Ghazaryan, L. Goerlich, N. Gogitidze, M. Gouzevitch, C. Grab, A. Grebenyuk, T. Greenshaw, G. Grindhammer, C. Gwenlan, D. Haidt, R. C. W. Henderson, J. Hladkỳ, D. Hoffmann, R. Horisberger, T. Hreus, F. Huber, A. Huss, M. Jacquet, X. Janssen, A. W. Jung, H. Jung, M. Kapichine, J. Katzy, C. Kiesling, M. Klein, C. Kleinwort, R. Kogler, P. Kostka, J. Kretzschmar, D. Krücker, K. Krüger, M. P. J. Landon, W. Lange, P. Laycock, A. Lebedev, S. Levonian, K. Lipka, B. List, J. List, B. Lobodzinski, E. Malinovski, H.-U. Martyn, S. J. Maxfield, A. Mehta, A. B. Meyer, H. Meyer, J. Meyer, S. Mikocki, A. Morozov, K. Müller, Th. Naumann, P. R. Newman, C. Niebuhr, J. Niehues, G. Nowak, J. E. Olsson, D. Ozerov, C. Pascaud, G. D. Patel, E. Perez, A. Petrukhin, I. Picuric, H. Pirumov, D. Pitzl, R. Plačakytė, R. Polifka, K. Rabbertz, V. Radescu, N. Raicevic, T. Ravdandorj, P. Reimer, E. Rizvi, P. Robmann, R. Roosen, A. Rostovtsev, M. Rotaru, D. Šálek, D. P. C. Sankey, M. Sauter, E. Sauvan, S. Schmitt, L. Schoeffel, A. Schöning, F. Sefkow, S. Shushkevich, Y. Soloviev, P. Sopicki, D. South, V. Spaskov, A. Specka, M. Steder, B. Stella, U. Straumann, M. R. Sutton, T. Sykora, P. D. Thompson, D. Traynor, P. Truöl, I. Tsakov, B. Tseepeldorj, A. Valkárová, C. Vallée, P. Van Mechelen, Y. Vazdik, D. Wegener, E. Wünsch, J. Žáček, Z. Zhang, R. Žlebčík, H. Zohrabyan, and F. Zomer

Subjects
Astrophysics, QB460-466, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract The strong coupling constant $$\alpha _\mathrm{s}$$ α s is determined from inclusive jet and dijet cross sections in neutral-current deep-inelastic ep scattering (DIS) measured at HERA by the H1 collaboration using next-to-next-to-leading order (NNLO) QCD predictions. The dependence of the NNLO predictions and of the resulting value of $$\alpha _\mathrm{s} (m_\mathrm{Z})$$ α s ( m Z ) at the Z-boson mass $$m_Z$$ m Z are studied as a function of the choice of the renormalisation and factorisation scales. Using inclusive jet and dijet data together, the strong coupling constant is determined to be $$\alpha _\mathrm{s} (m_\mathrm{Z}) =0.1157\,(20)_\mathrm{exp}\,(29)_\mathrm{th}$$ α s ( m Z ) = 0.1157 ( 20 ) exp ( 29 ) th . Complementary, $$\alpha _\mathrm{s} (m_\mathrm{Z})$$ α s ( m Z ) is determined together with parton distribution functions of the proton (PDFs) from jet and inclusive DIS data measured by the H1 experiment. The value $$\alpha _\mathrm{s} (m_\mathrm{Z}) =0.1142\,(28)_\mathrm{tot}$$ α s ( m Z ) = 0.1142 ( 28 ) tot obtained is consistent with the determination from jet data alone. The impact of the jet data on the PDFs is studied. The running of the strong coupling is tested at different values of the renormalisation scale and the results are found to be in agreement with expectations.

Published
2017
Full Text
View/download PDF

27. A Universal Knowledge Model and Cognitive Architecture for Prototyping AGI

Author

Sukhobokov, Artem, Belousov, Evgeny, Gromozdov, Danila, Zenger, Anna, and Popov, Ilya

Subjects
Computer Science - Artificial Intelligence
Abstract

The article identified 42 cognitive architectures for creating general artificial intelligence (AGI) and proposed a set of interrelated functional blocks that an agent approaching AGI in its capabilities should possess. Since the required set of blocks is not found in any of the existing architectures, the article proposes a new cognitive architecture for intelligent systems approaching AGI in their capabilities. As one of the key solutions within the framework of the architecture, a universal method of knowledge representation is proposed, which allows combining various non-formalized, partially and fully formalized methods of knowledge representation in a single knowledge base, such as texts in natural languages, images, audio and video recordings, graphs, algorithms, databases, neural networks, knowledge graphs, ontologies, frames, essence-property-relation models, production systems, predicate calculus models, conceptual models, and others. To combine and structure various fragments of knowledge, archigraph models are used, constructed as a development of annotated metagraphs. As components, the cognitive architecture being developed includes machine consciousness, machine subconsciousness, blocks of interaction with the external environment, a goal management block, an emotional control system, a block of social interaction, a block of reflection, an ethics block and a worldview block, a learning block, a monitoring block, blocks of statement and solving problems, self-organization and meta learning block.

Published
2024
Full Text
View/download PDF

28. Cometary outbursts in the Oort cloud

Author

Belousov, D. V. and Pavlov, A. K.

Subjects
Astrophysics - Earth and Planetary Astrophysics, Physics - Chemical Physics
Abstract

Comet nuclei in the outer Solar system are constantly irradiated by cosmic rays at low temperatures. Accumulated high concentrations of radicals can undergo fast recombination with significant heating of cometary surface layers. We present the model of comet activity at large heliocentric distances caused by the recombination of radicals. We found that the considered mechanism can cause activity of comets in distant regions of the Solar system, even at the Oort cloud distances. Outbursts in distant comet reservoirs can be a new source of dust and ice particles contributing to the recently discovered anomalous diffuse light in the cosmic extragalactic background optic light. The orbits of small-radii comets in the Oort cloud are highly influenced by cometary outbursts. This effect may account for the observed decrease in the number of small-radius long-period comets., Comment: 16 pages, 8 figures

Published
2023

29. Parameterized Projected Bellman Operator

Author

Vincent, Théo, Metelli, Alberto Maria, Belousov, Boris, Peters, Jan, Restelli, Marcello, and D'Eramo, Carlo

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Approximate value iteration (AVI) is a family of algorithms for reinforcement learning (RL) that aims to obtain an approximation of the optimal value function. Generally, AVI algorithms implement an iterated procedure where each step consists of (i) an application of the Bellman operator and (ii) a projection step into a considered function space. Notoriously, the Bellman operator leverages transition samples, which strongly determine its behavior, as uninformative samples can result in negligible updates or long detours, whose detrimental effects are further exacerbated by the computationally intensive projection step. To address these issues, we propose a novel alternative approach based on learning an approximate version of the Bellman operator rather than estimating it through samples as in AVI approaches. This way, we are able to (i) generalize across transition samples and (ii) avoid the computationally intensive projection step. For this reason, we call our novel operator projected Bellman operator (PBO). We formulate an optimization problem to learn PBO for generic sequential decision-making problems, and we theoretically analyze its properties in two representative classes of RL problems. Furthermore, we theoretically study our approach under the lens of AVI and devise algorithmic implementations to learn PBO in offline and online settings by leveraging neural network parameterizations. Finally, we empirically showcase the benefits of PBO w.r.t. the regular Bellman operator on several RL problems., Comment: Proceedings of the National Conference on Artificial Intelligence (AAAI-24)

Published
2023

30. On the complexity of meander-like diagrams of knots

Author

Belousov, Yury

Subjects
Mathematics - Geometric Topology, 57K10
Abstract

It is known that each knot has a semimeander diagram (i. e. a diagram composed of two smooth simple arcs), however the number of crossings in such a diagram can only be roughly estimated. In the present paper we provide a new estimate of the complexity of the semimeander diagrams. We prove that for each knot $K$ with more than 10 crossings, there exists a semimeander diagram with no more than $0.31 \cdot 1.558^{\operatorname{cr}(K)}$ crossings, where $\operatorname{cr}(K)$ is the crossing number of $K$. As a corollary, we provide new estimates of the complexity of other meander-like types of knot diagrams, such as meander diagrams and potholders. We also describe an efficient algorithm for constructing a semimeander diagram from a given one., Comment: 11 pages, 12 figures

Published
2023

31. TURBO: The Swiss Knife of Auto-Encoders

Author

Quétant, Guillaume, Belousov, Yury, Kinakh, Vitaliy, and Voloshynovskiy, Slava

Subjects
Computer Science - Machine Learning, Computer Science - Cryptography and Security, Computer Science - Information Theory, High Energy Physics - Phenomenology
Abstract

We present a novel information-theoretic framework, termed as TURBO, designed to systematically analyse and generalise auto-encoding methods. We start by examining the principles of information bottleneck and bottleneck-based networks in the auto-encoding setting and identifying their inherent limitations, which become more prominent for data with multiple relevant, physics-related representations. The TURBO framework is then introduced, providing a comprehensive derivation of its core concept consisting of the maximisation of mutual information between various data representations expressed in two directions reflecting the information flows. We illustrate that numerous prevalent neural network models are encompassed within this framework. The paper underscores the insufficiency of the information bottleneck concept in elucidating all such models, thereby establishing TURBO as a preferable theoretical reference. The introduction of TURBO contributes to a richer understanding of data representation and the structure of neural network models, enabling more efficient and versatile applications.

Published
2023
Full Text
View/download PDF

32. Measurement of $${\varvec{D^{*}}}$$ D ∗ production in diffractive deep inelastic scattering at HERA

Author

V. Andreev, A. Baghdasaryan, K. Begzsuren, A. Belousov, A. Bolz, V. Boudry, G. Brandt, V. Brisson, D. Britzger, A. Buniatyan, A. Bylinkin, L. Bystritskaya, A. J. Campbell, K. B. Cantun Avila, K. Cerny, V. Chekelian, J. G. Contreras, J. Cvach, J. B. Dainton, K. Daum, C. Diaconu, M. Dobre, V. Dodonov, G. Eckerlin, S. Egli, E. Elsen, L. Favart, A. Fedotov, J. Feltesse, J. Ferencei, M. Fleischer, A. Fomenko, E. Gabathuler, J. Gayler, S. Ghazaryan, L. Goerlich, N. Gogitidze, M. Gouzevitch, C. Grab, A. Grebenyuk, T. Greenshaw, G. Grindhammer, D. Haidt, R. C. W. Henderson, J. Hladký, D. Hoffmann, R. Horisberger, T. Hreus, F. Huber, M. Jacquet, M. Jansová, X. Janssen, A. Jung, H. Jung, M. Kapichine, J. Katzy, C. Kiesling, M. Klein, C. Kleinwort, R. Kogler, P. Kostka, J. Kretzschmar, D. Krücker, K. Krüger, M. P. J. Landon, W. Lange, P. Laycock, A. Lebedev, S. Levonian, K. Lipka, B. List, J. List, B. Lobodzinski, E. Malinovski, H.-U. Martyn, S. J. Maxfield, A. Mehta, A. B. Meyer, H. Meyer, J. Meyer, S. Mikocki, A. Morozov, K. Müller, Th. Naumann, P. R. Newman, C. Niebuhr, G. Nowak, J. E. Olsson, D. Ozerov, C. Pascaud, G. D. Patel, E. Perez, A. Petrukhin, I. Picuric, H. Pirumov, D. Pitzl, R. Plačakytė, R. Polifka, V. Radescu, N. Raicevic, T. Ravdandorj, P. Reimer, E. Rizvi, P. Robmann, R. Roosen, A. Rostovtsev, M. Rotaru, D. Šálek, D. P. C. Sankey, M. Sauter, E. Sauvan, S. Schmitt, L. Schoeffel, A. Schöning, F. Sefkow, S. Shushkevich, Y. Soloviev, P. Sopicki, D. South, V. Spaskov, A. Specka, M. Steder, B. Stella, U. Straumann, T. Sykora, P. D. Thompson, D. Traynor, P. Truöl, I. Tsakov, B. Tseepeldorj, A. Valkárová, C. Vallée, P. Van Mechelen, Y. Vazdik, D. Wegener, E. Wünsch, J. Žáček, Z. Zhang, R. Žlebčík, H. Zohrabyan, and F. Zomer

Subjects
Astrophysics, QB460-466, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract Measurements of $$D^{*}(2010)$$ D ∗ ( 2010 ) meson production in diffractive deep inelastic scattering $$(5

Published
2017
Full Text
View/download PDF

33. Measurement of jet production cross sections in deep-inelastic ep scattering at HERA

Author

V. Andreev, A. Baghdasaryan, K. Begzsuren, A. Belousov, A. Bolz, V. Boudry, G. Brandt, V. Brisson, D. Britzger, A. Buniatyan, A. Bylinkin, L. Bystritskaya, A. J. Campbell, K. B. Cantun Avila, K. Cerny, V. Chekelian, J. G. Contreras, J. Cvach, J. B. Dainton, K. Daum, C. Diaconu, M. Dobre, V. Dodonov, G. Eckerlin, S. Egli, E. Elsen, L. Favart, A. Fedotov, J. Feltesse, J. Ferencei, M. Fleischer, A. Fomenko, E. Gabathuler, J. Gayler, S. Ghazaryan, L. Goerlich, N. Gogitidze, M. Gouzevitch, C. Grab, A. Grebenyuk, T. Greenshaw, G. Grindhammer, D. Haidt, R. C. W. Henderson, J. Hladkỳ, D. Hoffmann, R. Horisberger, T. Hreus, F. Huber, M. Jacquet, X. Janssen, H. Jung, M. Kapichine, J. Katzy, C. Kiesling, M. Klein, C. Kleinwort, R. Kogler, P. Kostka, J. Kretzschmar, D. Krücker, K. Krüger, M. P. J. Landon, W. Lange, P. Laycock, A. Lebedev, S. Levonian, K. Lipka, B. List, J. List, B. Lobodzinski, E. Malinovski, H.-U. Martyn, S. J. Maxfield, A. Mehta, A. B. Meyer, H. Meyer, J. Meyer, S. Mikocki, A. Morozov, K. Müller, Th. Naumann, P. R. Newman, C. Niebuhr, G. Nowak, J. E. Olsson, D. Ozerov, C. Pascaud, G. D. Patel, E. Perez, A. Petrukhin, I. Picuric, H. Pirumov, D. Pitzl, R. Plačakytė, R. Polifka, V. Radescu, N. Raicevic, T. Ravdandorj, P. Reimer, E. Rizvi, P. Robmann, R. Roosen, A. Rostovtsev, M. Rotaru, D. Šálek, D. P. C. Sankey, M. Sauter, E. Sauvan, S. Schmitt, L. Schoeffel, A. Schöning, F. Sefkow, S. Shushkevich, Y. Soloviev, P. Sopicki, D. South, V. Spaskov, A. Specka, M. Steder, B. Stella, U. Straumann, T. Sykora, P. D. Thompson, D. Traynor, P. Truöl, I. Tsakov, B. Tseepeldorj, A. Valkárová, C. Vallée, P. Van Mechelen, Y. Vazdik, D. Wegener, E. Wünsch, J. Žáček, Z. Zhang, R. Žlebčík, H. Zohrabyan, and F. Zomer

Subjects
Astrophysics, QB460-466, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

Abstract A precision measurement of jet cross sections in neutral current deep-inelastic scattering for photon virtualities $$5.5

Published
2017
Full Text
View/download PDF

44. Stochastic Digital Twin for Copy Detection Patterns

Author

Belousov, Yury, Taran, Olga, Kinakh, Vitaliy, and Voloshynovskiy, Slava

Subjects
Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Copy detection patterns (CDP) present an efficient technique for product protection against counterfeiting. However, the complexity of studying CDP production variability often results in time-consuming and costly procedures, limiting CDP scalability. Recent advancements in computer modelling, notably the concept of a "digital twin" for printing-imaging channels, allow for enhanced scalability and the optimization of authentication systems. Yet, the development of an accurate digital twin is far from trivial. This paper extends previous research which modelled a printing-imaging channel using a machine learning-based digital twin for CDP. This model, built upon an information-theoretic framework known as "Turbo", demonstrated superior performance over traditional generative models such as CycleGAN and pix2pix. However, the emerging field of Denoising Diffusion Probabilistic Models (DDPM) presents a potential advancement in generative models due to its ability to stochastically model the inherent randomness of the printing-imaging process, and its impressive performance in image-to-image translation tasks. This study aims at comparing the capabilities of the Turbo framework and DDPM on the same CDP datasets, with the goal of establishing the real-world benefits of DDPM models for digital twin applications in CDP security. Furthermore, the paper seeks to evaluate the generative potential of the studied models in the context of mobile phone data acquisition. Despite the increased complexity of DDPM methods when compared to traditional approaches, our study highlights their advantages and explores their potential for future applications., Comment: Paper accepted at the IEEE International Workshop on Information Forensics and Security (WIFS) 2023

Published
2023

45. Baxter Q-operators in Ruijsenaars-Sutherland hyperbolic systems: one- and two-particle cases

Author

Belousov, N., Derkachov, S., Kharchev, S., and Khoroshkin, S.

Subjects
Mathematical Physics, High Energy Physics - Theory, Nonlinear Sciences - Exactly Solvable and Integrable Systems
Abstract

In these notes we review the technique of Baxter Q-operators in the Ruijsenaars-Sutherland hyperbolic systems in the cases of one and two particles. Using these operators we show in particular that eigenfunctions of these systems admit two dual integral representations and prove their orthogonality and completeness.

Published
2023

46. Baxter operators in Ruijsenaars hyperbolic system IV. Coupling constant reflection symmetry

Author

Belousov, N., Derkachov, S., Kharchev, S., and Khoroshkin, S.

Subjects
Mathematical Physics, High Energy Physics - Theory, Mathematics - Quantum Algebra, Mathematics - Representation Theory, Nonlinear Sciences - Exactly Solvable and Integrable Systems
Abstract

We introduce and study a new family of commuting Baxter operators in the Ruijsenaars hyperbolic system, different from that considered by us earlier. Using a degeneration of Rains integral identity we verify the commutativity between the two families of Baxter operators and explore this fact for the proof of the coupling constant symmetry of the wave function. We also establish a connection between new Baxter operators and Noumi-Sano difference operators.

Published
2023

48. Baxter operators in Ruijsenaars hyperbolic system III. Orthogonality and completeness of wave functions

Author

Belousov, N., Derkachov, S., Kharchev, S., and Khoroshkin, S.

Subjects
Mathematical Physics, High Energy Physics - Theory, Mathematics - Quantum Algebra, Mathematics - Representation Theory
Abstract

In the previous paper we showed that the wave functions of the quantum Ruijsenaars hyperbolic system diagonalize Baxter Q-operators. Using this property and duality relation we prove orthogonality and completeness relations for the wave functions or, equivalently, unitarity of the corresponding integral transform.

Published
2023

49. Poissonian cellular Potts models reveal nonequilibrium kinetics of cell sorting

Author

Belousov, Roman, Savino, Sabrina, Moghe, Prachiti, Hiiragi, Takashi, Rondoni, Lamberto, and Erzberger, Anna

Subjects
Condensed Matter - Statistical Mechanics, Physics - Biological Physics
Abstract

Cellular Potts models are broadly applied across developmental biology and cancer research. We overcome limitations of the traditional approach, which reinterprets a modified Metropolis sampling as ad hoc dynamics, by introducing a physical timescale through Poissonian kinetics and by applying principles of stochastic thermodynamics to separate thermal and relaxation effects from athermal noise and nonconservative forces. Our method accurately describes cell-sorting dynamics in mouse-embryo development and identifies the distinct contributions of nonequilibrium processes, e.g. cell growth and active fluctuations., Comment: 7 Figures

Published
2023

Catalog

Books, media, physical & digital resources
See catalog results