B. Isildak
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View article: Pneumonia detection in chest X-ray images using convolutional neural networks
Pneumonia detection in chest X-ray images using convolutional neural networks Open
Objectives: Pneumonia ranks among the infections and presents a considerable health threat, especially in certain age groups and developing countries. The accurate diagnosis of the disease and prompt identification are crucial for treatmen…
View article: Study of the time and energy resolution of an ultracompact sampling calorimeter (RADiCAL) module at EM shower maximum over the energy range 25 ≤ E ≤ 150 GeV using scintillation and wavelength shifting technology
Study of the time and energy resolution of an ultracompact sampling calorimeter (RADiCAL) module at EM shower maximum over the energy range 25 ≤ E ≤ 150 GeV using scintillation and wavelength shifting technology Open
The RADiCAL Collaboration is conducting R&D on precision-timing electromagnetic (EM) calorimetry to address the challenges expected in future collider experiments under conditions of high luminosity and/or high irradiation such as those ex…
View article: B-Jet Tagging with Retentive Networks: A Novel Approach and Comparative Study
B-Jet Tagging with Retentive Networks: A Novel Approach and Comparative Study Open
Identifying jets originating from bottom quarks is vital in collider experiments for new physics searches. This paper proposes a novel approach based on Retentive Networks (RetNet) for b-jet tagging using low-level features of jet constitu…
View article: Study of time resolution measurements and prospects for energy resolution of an ultra-compact sampling calorimeter (RADiCAL) module at EM shower maximum over the energy range 25 GeV 150 GeV
Study of time resolution measurements and prospects for energy resolution of an ultra-compact sampling calorimeter (RADiCAL) module at EM shower maximum over the energy range 25 GeV 150 GeV Open
The RADiCAL Collaboration is conducting R&D on high performance electromagnetic (EM) calorimetry to address the challenges expected in future collider experiments under conditions of high luminosity and/or high irradiation (FCC-ee, FCC-hh,…
View article: CALPAGAN: Calorimetry for Particles Using Generative Adversarial Networks
CALPAGAN: Calorimetry for Particles Using Generative Adversarial Networks Open
In this study, a novel approach is demonstrated for converting calorimeter images from fast simulations to those akin to comprehensive full simulations, utilizing conditional Generative Adversarial Networks (GANs). The concept of Pix2pix i…
View article: CALPAGAN: Calorimetry for Particles using GANs
CALPAGAN: Calorimetry for Particles using GANs Open
In this study, a novel approach is demonstrated for converting calorimeter images from fast simulations to those akin to comprehensive full simulations, utilizing conditional Generative Adversarial Networks (GANs). The concept of pix2pix i…
View article: Study of time and energy resolution of an ultra-compact sampling calorimeter (RADiCAL) module at EM shower maximum over the energy range 25 GeV $\leq$ E $\leq$ 150 GeV
Study of time and energy resolution of an ultra-compact sampling calorimeter (RADiCAL) module at EM shower maximum over the energy range 25 GeV $\leq$ E $\leq$ 150 GeV Open
The RADiCAL Collaboration is conducting R\&D on high performance electromagnetic (EM) calorimetry to address the challenges expected in future collider experiments under conditions of high luminosity and/or high irradiation (FCC-ee, FCC-hh…
View article: Investigating the Violation of Charge-parity Symmetry Through Top-quark ChromoElectric Dipole Moments by Using Machine Learning Techniques
Investigating the Violation of Charge-parity Symmetry Through Top-quark ChromoElectric Dipole Moments by Using Machine Learning Techniques Open
There are a number of studies in the literature on search for Charge-Parity (CP) violating signals in top quark productions at the LHC.In most of these studies, ChromoMagnetic Dipole Moments (CMDM) and ChromoElectric Dipole Moments (CEDM) …
View article: Top Pair Spin Correlation Studies in CMS
Top Pair Spin Correlation Studies in CMS Open
Measurement of $t\\bar t$ spin correlations are presented in event with top quarks produced in pp collisions at the LHC. The data correspond to an integrated luminosity of 19.5~fb$^{-1}$ at $\\sqrt s$ = 8 TeV and 36~fb$^{-1}$ at $\\sqrt s$…
View article: Deconvolution of the High Energy Particle Physics Data with Machine Learning
Deconvolution of the High Energy Particle Physics Data with Machine Learning Open
A method for correcting smearing effects using machine learning technique is presented. Compared to the standard deconvolution approaches in high energy particle physics, the method can use more than one reconstructed variable to predict t…
View article: Deconvolution of the High Energy Particle Physics Data with Machine Learning
Deconvolution of the High Energy Particle Physics Data with Machine Learning Open
A method for correcting smearing effects using machine learning technique is presented. Compared to the standard deconvolution approaches in high energy particle physics, the method can use more than one reconstructed variable to predict t…
View article: "Higgs" Factory at the Greek-Turkish Border
"Higgs" Factory at the Greek-Turkish Border Open
We would like to propose the construction of the photon collider based "Higgs factory" in the coming years at the Greek-Turkish border, starting from its test facility with a high energy photon beam. This proposal was among the contributio…