Federico Carminati - Academia.edu (original) (raw)
Papers by Federico Carminati
The frontiers collection, 2011
Software Engineering and the “Software Crisis” that it aims at solving, have been fundamental iss... more Software Engineering and the “Software Crisis” that it aims at solving, have been fundamental issues at the heart of the software development activity since the moment software existed. A book about software in High Energy Physics (“HEP”) would not be complete without some remarks on this matter, and this chapter provides such remarks.
Psychology, 2021
In this paper, we discuss the connections between the myths of Oedipus and Narcissus. First, we p... more In this paper, we discuss the connections between the myths of Oedipus and Narcissus. First, we propose that Narcissus is pre-existent to Oedipus in the child's development, and it represents its first defense against an unknown and terrifying world. Next, we argue that Oedipus's complex comes after, but that in its "depths," we can still find the vestigial remains of the original narcissism with its polar extremes of love and loath for oneself, or rather, as we explain, for one's image. In our exploration of Oedipus's foundations, we consider Melanie Klein's objectual relation to the mother and the concept of Fundamental Violence developed by Bergeret. Finally, in an attempt to move back even past this stage, we consider the theory of Bleger on the symbiotic relationship between the newborn and the world around him. We conclude by proposing Oedipus and Narcissus as the two polarities of the same archetype of development, one being the unbridled vital instinct and the other the acceptance of reality with its norms, laws, and obligations.
Proceedings of 38th International Conference on High Energy Physics — PoS(ICHEP2016), 2017
The Geant4, GeantV and GENIE collaborations regularly perform validation and regression tests for... more The Geant4, GeantV and GENIE collaborations regularly perform validation and regression tests for simulation results. DoSSiER (Database of Scientific Simulation and Experimental Results) is being developed as a central repository to store the simulation results as well as the experimental data used for validation. DoSSiER can be easily accessed via a web application. In addition, a web service allows for programmatic access to the repository to extract records in json or xml exchange formats. In this article, we describe the functionality and the current status of various components of DoSSiER as well as the technology choices we made.
Physics Letters B, Jan 10, 2013
Angular correlations between charged trigger and associated particles are measured by the ALICE d... more Angular correlations between charged trigger and associated particles are measured by the ALICE detector in p–Pb collisions at a nucleon–nucleon centre-of-m.
We will discuss the concrete targets of: mid 2008 (i.e. end June) end 2008 </UL
a.nd the position ol` the particle a.ll along the tracking process. 'l`he apparatus is lind in wh... more a.nd the position ol` the particle a.ll along the tracking process. 'l`he apparatus is lind in which volume a particle is, but determines il. lrom the detector geomel.ry vehicles. Unlike many similar programs, Gl*ZAN'l` does not require the nscr |.o ray showers, medical applications ol` synchrotron light or radio-dosimetry on space simulation in lligh Finergy Physics and il. is also used in ol.her liclds such as cosmic the l,l•]l' experiments in mind. lt. has now become almost. a. standard lor det.ector 'l`he (l l•l/\ N'l`Tl [ll program has been designed at the beginning ol` t.he eighties wit.h il. IIll.I`0dU.Clil()l'l with deI.er•t.or design, physics simulation and event. reconstruction. riewing system will also be included, in a.n integrated environment together cists and engineers designing new detectors. '|`lie skeleton ol a. general event with CAI)/(ZA M systems. 'l`his will represent a major advantage liir physi-particular the new strategy will allow to exchange t.he det.ect.or description arens such as tracking perl`orm:•.ncc, graphics, and detector design l.r)•nl5. ln a backward compatible user interface a.nd enhanced l`nuct.ionaliI.y in many deci:=i•»ns a.t every I»il`urca.tion ol` the tree. 'l`he new desrzriptiou will feature orithms for t.rackin r. Elementary surl`ace-point a.l orithms are used to take E L K at ini|.ializaI.ion time to allow tl•e utilization ol' new ell`ecIivc binary search al will he used to describe the detector. 'l`l1ese are organised into a. binary tree and composite volumes which can he handled by most. CAI)/(T/\ l\•l systems in the geometry description and detector da.l.a.-base. Basic geometrical entities many areas of (TIC/t N'I`. 'l`his paper will linens on the work currently planned lor the next. generation of experiments, improvements are now required iu cope with the increased requirements imposed by the simulation ol°deter•tors the interaction ol' particles with matter in lligh linergy Physics detectors. 'l`o l,lCl' collaborations and it has now become almost a. st.a.nda.rd I'or simulating 'l`he (`IIEIA N'l`3 program has been designed in I98 I-I!)82 liar the needs ofthe
Psychology, 2019
The aim of this paper is to explore the connections between the Jungian concept of collective unc... more The aim of this paper is to explore the connections between the Jungian concept of collective unconscious, the Bionian group dynamics and the septenary schema elaborated by the Swiss psychoanalyst C. Baudoin, as a synthesis of the Freudian and Jungian topics. Borrowing (marauding) concepts from the above theories, we propose a theoretical analytical framework for our experience with the ASTRAG group training association in terms of psychoanalytical instances and their relations in the analytical group situation. We describe the history and activity of ASTRAG that we founded in 2005 at Geneva, Switzerland. This association has trained more than 100 people interested in group dynamics over 14 years. One of the main features of this training is that there is no money exchange of any sort. Participation is free and the training staff is made of volunteers who are not remunerated. Participants are accepted with no entry interview. We then conclude with some considerations on the effect of gratuity on the group analytical work.
NeuroQuantology, 2016
The results of previous studies on a group-training program for group therapists supported the in... more The results of previous studies on a group-training program for group therapists supported the influence of group dynamics on the members' individual choices of pictures presented to them in an "absurdum questionnaire." The present analysis compared the responses obtained from previous studies with those from a group of psychiatric caregivers training to prevent and manage aggression of hospitalized patients. The evolution of the number and entropy of the responses to the picture choices were compared. The group analysis program was conducted at the Basque Foundation for the Investigation of Mental Health in Bilbao, Spain. The Preventive Approach and Controlled Intervention program for the prevention and management of aggression was held in Geneva, Switzerland. Data were collected from the participants in the group-analysis program during their 11 sessions of training and from those in the aggression prevention and management program during three days of a series of four-day courses. The participants were presented with an "absurdum questionnaire" containing 50 pairs of images, and were asked to choose one image from each pair. The evolution of the number of answers was not significantly different between the two training groups. The evolution of entropy revealed a clear difference with a gradual increase in the group-analysis program, and a decrease in the aggression-management training group. We interpret this difference in light of Bion's view of group dynamics, with the group-analysis training being driven by Bion's basic assumptions and the aggression-management training by Bion's work group.
The current major detector simulation programs, i.e. GEANT3, GEANT4 and FLUKA have largely incomp... more The current major detector simulation programs, i.e. GEANT3, GEANT4 and FLUKA have largely incompatible environments. This forces the physicists willing to make comparisons between the different transport Monte Carlos to develop entirely different programs. Moreover, migration from one program to the other is usually very expensive, in manpower and time, for an experiment offline environment, as it implies substantial changes in the detector description and response simulation code. To solve this problem, the ALICE Offline project has developed a virtual interface to these three programs allowing their seamless use without any change in the framework, the geometry description or the scoring code. Moreover, a new geometrical modeller has been developed in collaboration with the ROOT team, and successfully interfaced to the three programs. This allows the use of one description of the geometry, which can be used also during reconstruction and visualization. The paper will describe the present status and future plans for the Virtual Monte Carlo. It will also present the capabilities and performance of the geometrical modeller.
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2006
Carminati, Federico; Harvey, John; Hoffmann, Hans Falk; Kasemann, Matthias; McCubbin, Norman; Per... more Carminati, Federico; Harvey, John; Hoffmann, Hans Falk; Kasemann, Matthias; McCubbin, Norman; Perini, Laura; Robertson, Leslie; Stickland, DP. Skip to main content. ...
Psychology, 2019
This paper is a reflection on the relations between an individual and the different groups to who... more This paper is a reflection on the relations between an individual and the different groups to whom he belongs during the course of his life. The aim of this paper is to describe these relations in the terms of the paradigm of a matrix and an intruder. We believe that this interpretation can shed an interesting light on the individual development. It can also provide a key of interpretation of some fundamental life events that may be of help for therapists. The two roles are distinct, but in time an individual can assume either or even both at the same time. We argue that this duality could be the expression of the opposing poles of a Jungian archetype. We also elaborate on the relations of this archetype with the septenary model of the psyche of the Swiss psychoanalyst Charles Baudouin and the schizo-paranoid and depressive phases described by Melany Klein. We conclude with a reference to Etruscan and early Roman art in relation to the emptiness of the matrix role and the existential solitude of man.
EPJ Web of Conferences, 2019
The development of the GeantV Electromagnetic (EM) physics package has evolved following two nece... more The development of the GeantV Electromagnetic (EM) physics package has evolved following two necessary paths towards code modernization. A first phase required the revision of the main electromagnetic physics models and their implementation. The main objectives were to improve their accuracy, extend them to the new high-energy frontier posed by the Future Circular Collider (FCC) programme and allow a better adaptation to a multi-particle flow. Most of the EM physics models in GeantV have been reviewed from theoretical perspective and rewritten with vector-friendly implementations, being now available in scalar mode in the alpha release. The second phase consists of a thorough investigation on the possibility to vectorise the most CPU-intensive physics code parts, such as final state sampling. We have shown the feasibility of implementing electromagnetic physics models that take advantage of SIMD/SIMT architectures, thus obtaining gains in performance. After this phase, the time has ...
European Physical Journal C, Apr 1, 2022
We present the 3DGAN for the simulation of a future high granularity calorimeter output as threed... more We present the 3DGAN for the simulation of a future high granularity calorimeter output as threedimensional images. We prove the efficacy of Generative Adversarial Networks (GANs) for generating scientific data while retaining a high level of accuracy for diverse metrics across a large range of input variables. We demonstrate a successful application of the transfer learning concept: we train the network to simulate showers for electrons from a reduced range of primary energies, we then train further for a five times larger range (the model could not train for the larger range directly). The same concept is extended to generate showers for other particles depositing most of their energies in electromagnetic interactions (photons and neutral pions). In addition, the generation of charged pion showers is also explored, a more accurate effort would require additional data from other detectors not included in the scope of the current work. Our further contribution is a demonstration of using GAN-generated data for a practical application. We train a third-party network using GAN-generated data and prove that the response is similar to a network trained with data from the Monte Carlo simulation. The showers generated by GAN present accuracy within 10% of Monte Carlo for a diverse range of physics features, with three orders of magnitude speedup. The speedup for both the training and inference can be further enhanced by distributed training.
Deep Neural Networks (DNNs) come into the limelight in High Energy Physics (HEP) in order to mani... more Deep Neural Networks (DNNs) come into the limelight in High Energy Physics (HEP) in order to manipulate the increasing amount of data encountered in the next generation of accelerators. Recently, the HEP community has suggested Generative Adversarial Networks (GANs) to replace traditional time-consuming Geant4 simulations based on the Monte Carlo method. In parallel with advances in deep learning, intriguing studies have been conducted in the last decade on quantum computing, including the Quantum GAN model suggested by IBM. However, this model is limited in learning a probability distribution over discrete variables, while we initially aim to reproduce a distribution over continuous variables in HEP. We introduce and analyze a new prototype of quantum GAN (qGAN) employed in continuous-variable (CV) quantum computing, which encodes quantum information in a continuous physical observable. Two CV qGAN models with a quantum and a classical discriminator have been tested to reproduce ca...
Unprecedented increase of complexity and scale of data is expected in computation necessary for t... more Unprecedented increase of complexity and scale of data is expected in computation necessary for the tracking detectors of the High Luminosity Large Hadron Collider (HL-LHC) experiments. While currently used Kalman filter based algorithms are reaching their limits in terms of ambiguities from increasing number of simultaneous collisions, occupancy, and scalability (worse than quadratic), a variety of machine learning approaches to particle track reconstruction are explored. It has been demonstrated previously by HEP.TrkX using TrackML datasets, that graph neural networks, by processing events as a graph connecting track measurements can provide a promising solution by reducing the combinatorial background to a manageable amount and are scaling to a computationally reasonable size. In previous work, we have shown a first attempt of Quantum Computing to Graph Neural Networks for track reconstruction of particles. We aim to leverage the capability of quantum computing to evaluate a very...
We present studies of the application of Deep Neural Networks and Convolutional Neural Networks f... more We present studies of the application of Deep Neural Networks and Convolutional Neural Networks for the classification, energy regression, and simulation of particles produced in high-energy particle collisions.We train cell-based Neural Nets that provide significant improvement in performance for particle classification and energy regression compared to feature-based Neural Nets and Boosted Decision Trees, and Generative Adversarial Networks that provide reasonable modeling of several but not all shower features.
The frontiers collection, 2011
Software Engineering and the “Software Crisis” that it aims at solving, have been fundamental iss... more Software Engineering and the “Software Crisis” that it aims at solving, have been fundamental issues at the heart of the software development activity since the moment software existed. A book about software in High Energy Physics (“HEP”) would not be complete without some remarks on this matter, and this chapter provides such remarks.
Psychology, 2021
In this paper, we discuss the connections between the myths of Oedipus and Narcissus. First, we p... more In this paper, we discuss the connections between the myths of Oedipus and Narcissus. First, we propose that Narcissus is pre-existent to Oedipus in the child's development, and it represents its first defense against an unknown and terrifying world. Next, we argue that Oedipus's complex comes after, but that in its "depths," we can still find the vestigial remains of the original narcissism with its polar extremes of love and loath for oneself, or rather, as we explain, for one's image. In our exploration of Oedipus's foundations, we consider Melanie Klein's objectual relation to the mother and the concept of Fundamental Violence developed by Bergeret. Finally, in an attempt to move back even past this stage, we consider the theory of Bleger on the symbiotic relationship between the newborn and the world around him. We conclude by proposing Oedipus and Narcissus as the two polarities of the same archetype of development, one being the unbridled vital instinct and the other the acceptance of reality with its norms, laws, and obligations.
Proceedings of 38th International Conference on High Energy Physics — PoS(ICHEP2016), 2017
The Geant4, GeantV and GENIE collaborations regularly perform validation and regression tests for... more The Geant4, GeantV and GENIE collaborations regularly perform validation and regression tests for simulation results. DoSSiER (Database of Scientific Simulation and Experimental Results) is being developed as a central repository to store the simulation results as well as the experimental data used for validation. DoSSiER can be easily accessed via a web application. In addition, a web service allows for programmatic access to the repository to extract records in json or xml exchange formats. In this article, we describe the functionality and the current status of various components of DoSSiER as well as the technology choices we made.
Physics Letters B, Jan 10, 2013
Angular correlations between charged trigger and associated particles are measured by the ALICE d... more Angular correlations between charged trigger and associated particles are measured by the ALICE detector in p–Pb collisions at a nucleon–nucleon centre-of-m.
We will discuss the concrete targets of: mid 2008 (i.e. end June) end 2008 </UL
a.nd the position ol` the particle a.ll along the tracking process. 'l`he apparatus is lind in wh... more a.nd the position ol` the particle a.ll along the tracking process. 'l`he apparatus is lind in which volume a particle is, but determines il. lrom the detector geomel.ry vehicles. Unlike many similar programs, Gl*ZAN'l` does not require the nscr |.o ray showers, medical applications ol` synchrotron light or radio-dosimetry on space simulation in lligh Finergy Physics and il. is also used in ol.her liclds such as cosmic the l,l•]l' experiments in mind. lt. has now become almost. a. standard lor det.ector 'l`he (l l•l/\ N'l`Tl [ll program has been designed at the beginning ol` t.he eighties wit.h il. IIll.I`0dU.Clil()l'l with deI.er•t.or design, physics simulation and event. reconstruction. riewing system will also be included, in a.n integrated environment together cists and engineers designing new detectors. '|`lie skeleton ol a. general event with CAI)/(ZA M systems. 'l`his will represent a major advantage liir physi-particular the new strategy will allow to exchange t.he det.ect.or description arens such as tracking perl`orm:•.ncc, graphics, and detector design l.r)•nl5. ln a backward compatible user interface a.nd enhanced l`nuct.ionaliI.y in many deci:=i•»ns a.t every I»il`urca.tion ol` the tree. 'l`he new desrzriptiou will feature orithms for t.rackin r. Elementary surl`ace-point a.l orithms are used to take E L K at ini|.ializaI.ion time to allow tl•e utilization ol' new ell`ecIivc binary search al will he used to describe the detector. 'l`l1ese are organised into a. binary tree and composite volumes which can he handled by most. CAI)/(T/\ l\•l systems in the geometry description and detector da.l.a.-base. Basic geometrical entities many areas of (TIC/t N'I`. 'l`his paper will linens on the work currently planned lor the next. generation of experiments, improvements are now required iu cope with the increased requirements imposed by the simulation ol°deter•tors the interaction ol' particles with matter in lligh linergy Physics detectors. 'l`o l,lCl' collaborations and it has now become almost a. st.a.nda.rd I'or simulating 'l`he (`IIEIA N'l`3 program has been designed in I98 I-I!)82 liar the needs ofthe
Psychology, 2019
The aim of this paper is to explore the connections between the Jungian concept of collective unc... more The aim of this paper is to explore the connections between the Jungian concept of collective unconscious, the Bionian group dynamics and the septenary schema elaborated by the Swiss psychoanalyst C. Baudoin, as a synthesis of the Freudian and Jungian topics. Borrowing (marauding) concepts from the above theories, we propose a theoretical analytical framework for our experience with the ASTRAG group training association in terms of psychoanalytical instances and their relations in the analytical group situation. We describe the history and activity of ASTRAG that we founded in 2005 at Geneva, Switzerland. This association has trained more than 100 people interested in group dynamics over 14 years. One of the main features of this training is that there is no money exchange of any sort. Participation is free and the training staff is made of volunteers who are not remunerated. Participants are accepted with no entry interview. We then conclude with some considerations on the effect of gratuity on the group analytical work.
NeuroQuantology, 2016
The results of previous studies on a group-training program for group therapists supported the in... more The results of previous studies on a group-training program for group therapists supported the influence of group dynamics on the members' individual choices of pictures presented to them in an "absurdum questionnaire." The present analysis compared the responses obtained from previous studies with those from a group of psychiatric caregivers training to prevent and manage aggression of hospitalized patients. The evolution of the number and entropy of the responses to the picture choices were compared. The group analysis program was conducted at the Basque Foundation for the Investigation of Mental Health in Bilbao, Spain. The Preventive Approach and Controlled Intervention program for the prevention and management of aggression was held in Geneva, Switzerland. Data were collected from the participants in the group-analysis program during their 11 sessions of training and from those in the aggression prevention and management program during three days of a series of four-day courses. The participants were presented with an "absurdum questionnaire" containing 50 pairs of images, and were asked to choose one image from each pair. The evolution of the number of answers was not significantly different between the two training groups. The evolution of entropy revealed a clear difference with a gradual increase in the group-analysis program, and a decrease in the aggression-management training group. We interpret this difference in light of Bion's view of group dynamics, with the group-analysis training being driven by Bion's basic assumptions and the aggression-management training by Bion's work group.
The current major detector simulation programs, i.e. GEANT3, GEANT4 and FLUKA have largely incomp... more The current major detector simulation programs, i.e. GEANT3, GEANT4 and FLUKA have largely incompatible environments. This forces the physicists willing to make comparisons between the different transport Monte Carlos to develop entirely different programs. Moreover, migration from one program to the other is usually very expensive, in manpower and time, for an experiment offline environment, as it implies substantial changes in the detector description and response simulation code. To solve this problem, the ALICE Offline project has developed a virtual interface to these three programs allowing their seamless use without any change in the framework, the geometry description or the scoring code. Moreover, a new geometrical modeller has been developed in collaboration with the ROOT team, and successfully interfaced to the three programs. This allows the use of one description of the geometry, which can be used also during reconstruction and visualization. The paper will describe the present status and future plans for the Virtual Monte Carlo. It will also present the capabilities and performance of the geometrical modeller.
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2006
Carminati, Federico; Harvey, John; Hoffmann, Hans Falk; Kasemann, Matthias; McCubbin, Norman; Per... more Carminati, Federico; Harvey, John; Hoffmann, Hans Falk; Kasemann, Matthias; McCubbin, Norman; Perini, Laura; Robertson, Leslie; Stickland, DP. Skip to main content. ...
Psychology, 2019
This paper is a reflection on the relations between an individual and the different groups to who... more This paper is a reflection on the relations between an individual and the different groups to whom he belongs during the course of his life. The aim of this paper is to describe these relations in the terms of the paradigm of a matrix and an intruder. We believe that this interpretation can shed an interesting light on the individual development. It can also provide a key of interpretation of some fundamental life events that may be of help for therapists. The two roles are distinct, but in time an individual can assume either or even both at the same time. We argue that this duality could be the expression of the opposing poles of a Jungian archetype. We also elaborate on the relations of this archetype with the septenary model of the psyche of the Swiss psychoanalyst Charles Baudouin and the schizo-paranoid and depressive phases described by Melany Klein. We conclude with a reference to Etruscan and early Roman art in relation to the emptiness of the matrix role and the existential solitude of man.
EPJ Web of Conferences, 2019
The development of the GeantV Electromagnetic (EM) physics package has evolved following two nece... more The development of the GeantV Electromagnetic (EM) physics package has evolved following two necessary paths towards code modernization. A first phase required the revision of the main electromagnetic physics models and their implementation. The main objectives were to improve their accuracy, extend them to the new high-energy frontier posed by the Future Circular Collider (FCC) programme and allow a better adaptation to a multi-particle flow. Most of the EM physics models in GeantV have been reviewed from theoretical perspective and rewritten with vector-friendly implementations, being now available in scalar mode in the alpha release. The second phase consists of a thorough investigation on the possibility to vectorise the most CPU-intensive physics code parts, such as final state sampling. We have shown the feasibility of implementing electromagnetic physics models that take advantage of SIMD/SIMT architectures, thus obtaining gains in performance. After this phase, the time has ...
European Physical Journal C, Apr 1, 2022
We present the 3DGAN for the simulation of a future high granularity calorimeter output as threed... more We present the 3DGAN for the simulation of a future high granularity calorimeter output as threedimensional images. We prove the efficacy of Generative Adversarial Networks (GANs) for generating scientific data while retaining a high level of accuracy for diverse metrics across a large range of input variables. We demonstrate a successful application of the transfer learning concept: we train the network to simulate showers for electrons from a reduced range of primary energies, we then train further for a five times larger range (the model could not train for the larger range directly). The same concept is extended to generate showers for other particles depositing most of their energies in electromagnetic interactions (photons and neutral pions). In addition, the generation of charged pion showers is also explored, a more accurate effort would require additional data from other detectors not included in the scope of the current work. Our further contribution is a demonstration of using GAN-generated data for a practical application. We train a third-party network using GAN-generated data and prove that the response is similar to a network trained with data from the Monte Carlo simulation. The showers generated by GAN present accuracy within 10% of Monte Carlo for a diverse range of physics features, with three orders of magnitude speedup. The speedup for both the training and inference can be further enhanced by distributed training.
Deep Neural Networks (DNNs) come into the limelight in High Energy Physics (HEP) in order to mani... more Deep Neural Networks (DNNs) come into the limelight in High Energy Physics (HEP) in order to manipulate the increasing amount of data encountered in the next generation of accelerators. Recently, the HEP community has suggested Generative Adversarial Networks (GANs) to replace traditional time-consuming Geant4 simulations based on the Monte Carlo method. In parallel with advances in deep learning, intriguing studies have been conducted in the last decade on quantum computing, including the Quantum GAN model suggested by IBM. However, this model is limited in learning a probability distribution over discrete variables, while we initially aim to reproduce a distribution over continuous variables in HEP. We introduce and analyze a new prototype of quantum GAN (qGAN) employed in continuous-variable (CV) quantum computing, which encodes quantum information in a continuous physical observable. Two CV qGAN models with a quantum and a classical discriminator have been tested to reproduce ca...
Unprecedented increase of complexity and scale of data is expected in computation necessary for t... more Unprecedented increase of complexity and scale of data is expected in computation necessary for the tracking detectors of the High Luminosity Large Hadron Collider (HL-LHC) experiments. While currently used Kalman filter based algorithms are reaching their limits in terms of ambiguities from increasing number of simultaneous collisions, occupancy, and scalability (worse than quadratic), a variety of machine learning approaches to particle track reconstruction are explored. It has been demonstrated previously by HEP.TrkX using TrackML datasets, that graph neural networks, by processing events as a graph connecting track measurements can provide a promising solution by reducing the combinatorial background to a manageable amount and are scaling to a computationally reasonable size. In previous work, we have shown a first attempt of Quantum Computing to Graph Neural Networks for track reconstruction of particles. We aim to leverage the capability of quantum computing to evaluate a very...
We present studies of the application of Deep Neural Networks and Convolutional Neural Networks f... more We present studies of the application of Deep Neural Networks and Convolutional Neural Networks for the classification, energy regression, and simulation of particles produced in high-energy particle collisions.We train cell-based Neural Nets that provide significant improvement in performance for particle classification and energy regression compared to feature-based Neural Nets and Boosted Decision Trees, and Generative Adversarial Networks that provide reasonable modeling of several but not all shower features.