Comparison of Experimental and Theoretical Double Differential Cross Sections of CH<sub>4</sub>at 250 eV Impact Energy

Isik, N.; Yavuz, Metin; AKSOY, Ercüment; Ozer, Zehra Nur; Ulu, Melike; Sahlaoui, M.; Boumediene, L.; Bouamoud, M.; Doğan, Mevlüt

doi:10.12693/aphyspola.127.1112

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…In earlier experiments, interest mainly focused on electron-impact elastic differential cross sections [21][22][23][24][25] and the energy-loss spectra for methane [26][27][28][29]. At impact energies above the ionization threshold, the double differential cross section (DDCS) measurements are also interesting to investigate the ionization process of methane [30][31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Triple differential cross section measurements for the outer valence molecular orbitals (1t₂) of a methane molecule at 250 eV electron impact

Isik

Doğan

Bahçelī

2016

J. Phys. B: At. Mol. Opt. Phys.

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In this study, detailed experimental research of triple differential cross section (TDCS) measurements is performed to investigate single ionization dynamics for the 1t2 orbital of methane molecule by 250 eV electron impact. In our experiments, the outgoing electrons are simultaneously measured in coincidence in a coplanar asymmetric geometry with the scattering angles of 10° and 20°. Therefore, TDCS measurements are performed for two different values of momentum transfer (K ≈ 0.9 au and 1.5 au). A detailed analysis of the dependence of the TDCS versus the momentum transfer is reported here.

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Section: Introductionmentioning

confidence: 99%

Triple differential cross section measurements for the outer valence molecular orbitals (1t₂) of a methane molecule at 250 eV electron impact

Isik

Doğan

Bahçelī

2016

J. Phys. B: At. Mol. Opt. Phys.

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Experimental and theoretical double differential cross sections for electron impact ionization of methane

Yavuz

Ozer

Ulu

et al. 2016

The Journal of Chemical Physics

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Experimental and theoretical double differential cross sections (DDCSs) for electron-induced ionization of methane (CH4) are here reported for primary energies ranging from 50 eV to 350 eV and ejection angles between 25° and 130°. Experimental DDCSs are compared with theoretical predictions performed within the first Born approximation Coulomb wave. In this model, the initial molecular state is described by using single center wave functions, the incident (scattered) electron being described by a plane wave, while a Coulomb wave function is used for modeling the secondary ejected electron. A fairly good agreement may be observed between theory and experiment with nevertheless an expected systematic overestimation of the theory at low-ejection energies (<50 eV).

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Predictability of machine learning framework in cross-section data

Isik

ESKİCİOĞLU

2023

Open Physics

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Today, the use of artificial intelligence in electron optics, as in many other fields, has begun to increase. In this scope, we present a machine learning framework to predict experimental cross-section data. Our framework includes 8 deep learning models and 13 different machine learning algorithms that learn the fundamental structure of the data. This article aims to develop a machine learning framework to accurately predict double-differential cross-section values. This approach combines multiple models such as convolutional neural networks, machine learning algorithms, and autoencoders to create a more robust prediction system. The data for training the models are obtained from experimental data for different atomic and molecular targets. We developed a methodology for learning tasks, mainly using rigorous prediction error limits. Prediction results show that the machine learning framework can predict the scattering angle and energy of scattering electrons with high accuracy, with an R-squared score of up to 99% and a mean squared error of <0.7. This performance result demonstrates that the proposed machine learning framework can be used to predict electron scattering events, which could be useful for applications such as medical physics.

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Comparison of Experimental and Theoretical Double Differential Cross Sections of CH₄at 250 eV Impact Energy

Cited by 3 publications

References 14 publications

Triple differential cross section measurements for the outer valence molecular orbitals (1t₂) of a methane molecule at 250 eV electron impact

Triple differential cross section measurements for the outer valence molecular orbitals (1t₂) of a methane molecule at 250 eV electron impact

Experimental and theoretical double differential cross sections for electron impact ionization of methane

Predictability of machine learning framework in cross-section data

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Comparison of Experimental and Theoretical Double Differential Cross Sections of CH4at 250 eV Impact Energy

Cited by 3 publications

References 14 publications

Triple differential cross section measurements for the outer valence molecular orbitals (1t2) of a methane molecule at 250 eV electron impact

Triple differential cross section measurements for the outer valence molecular orbitals (1t2) of a methane molecule at 250 eV electron impact

Experimental and theoretical double differential cross sections for electron impact ionization of methane

Predictability of machine learning framework in cross-section data

Contact Info

Product

Resources

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Comparison of Experimental and Theoretical Double Differential Cross Sections of CH₄at 250 eV Impact Energy

Triple differential cross section measurements for the outer valence molecular orbitals (1t₂) of a methane molecule at 250 eV electron impact

Triple differential cross section measurements for the outer valence molecular orbitals (1t₂) of a methane molecule at 250 eV electron impact