Pub Date : 2024-09-12DOI: 10.1088/1741-4326/ad6f29
L.W. Packer, P. Batistoni, C. Bearcroft, S.C. Bradnam, E. Eardley, M. Fabbri, N. Fonnesu, M.R. Gilbert, Z. Ghani, K. Gorzkiewicz, C.L. Grove, R. Kierepko, E. Łaszyńska, I. Lengar, X. Litaudon, S. Loreti, J.W. Mietelski, M. Pillon, M.I. Savva, C.R. Shand, I.E. Stamatelatos, A.N. Turner, T. Vasilopoulou, R. Villari, A. Wójcik-Gargula, A. Žohar and JET Contributors
This work presents the results following the first irradiation of ITER materials samples in a tokamak D–T plasma environment operating at significant fusion power. The materials exposed to this nuclear environment at the Joint European Torus during the DTE2 experimental campaign that took place in 2021 include representative ITER samples from various components such as poloidal field coil jacket samples, toroidal field coil radial closure plate steels, EUROFER 97 steel, W and CuCrZr materials from the divertor, Inconel-718 and 316L stainless steel for blanket modules, as well as vacuum vessel forging samples. The experimental results discussed include high-resolution gamma spectrometry measurements and analysis conducted with the post-irradiated samples, of which there were 68 in total. These samples were exposed through different experimental campaigns, including deuterium, deuterium–tritium and tritium phases. Diagnostics that supported the analysis included 25 dosimetry foil-based neutron diagnostics and two ‘VERDI’ neutron spectrometry diagnostics. A further 12 samples for positron annihilation spectroscopy were also irradiated. The irradiation of all these samples took place in a long-term irradiation assembly located near the JET vacuum vessel. The post-irradiation analysis of the ITER material samples has yielded valuable insights into their material activation levels and radiation fields. Comparative assessments between experimental measurements and comprehensive neutronics simulations have demonstrated a significant level of agreement in this work, while also revealing some discrepancies in specific material instances. The data and interpretation from this work not only serve as a robust experimental foundation for enhancing the precision and predictability of neutronics simulation approaches for ITER and next-step devices but also present some opportunities for the refinement of simulation methodologies. In light of these findings, a series of recommendations have been proposed, aimed at improving confidence in nuclear predictions associated with materials that have been exposed to fusion nuclear environments and advancing understanding in this important domain.
{"title":"ITER materials irradiation within the D–T neutron environment at JET: post-irradiation radioactivity analysis following the DTE2 experimental campaign","authors":"L.W. Packer, P. Batistoni, C. Bearcroft, S.C. Bradnam, E. Eardley, M. Fabbri, N. Fonnesu, M.R. Gilbert, Z. Ghani, K. Gorzkiewicz, C.L. Grove, R. Kierepko, E. Łaszyńska, I. Lengar, X. Litaudon, S. Loreti, J.W. Mietelski, M. Pillon, M.I. Savva, C.R. Shand, I.E. Stamatelatos, A.N. Turner, T. Vasilopoulou, R. Villari, A. Wójcik-Gargula, A. Žohar and JET Contributors","doi":"10.1088/1741-4326/ad6f29","DOIUrl":"https://doi.org/10.1088/1741-4326/ad6f29","url":null,"abstract":"This work presents the results following the first irradiation of ITER materials samples in a tokamak D–T plasma environment operating at significant fusion power. The materials exposed to this nuclear environment at the Joint European Torus during the DTE2 experimental campaign that took place in 2021 include representative ITER samples from various components such as poloidal field coil jacket samples, toroidal field coil radial closure plate steels, EUROFER 97 steel, W and CuCrZr materials from the divertor, Inconel-718 and 316L stainless steel for blanket modules, as well as vacuum vessel forging samples. The experimental results discussed include high-resolution gamma spectrometry measurements and analysis conducted with the post-irradiated samples, of which there were 68 in total. These samples were exposed through different experimental campaigns, including deuterium, deuterium–tritium and tritium phases. Diagnostics that supported the analysis included 25 dosimetry foil-based neutron diagnostics and two ‘VERDI’ neutron spectrometry diagnostics. A further 12 samples for positron annihilation spectroscopy were also irradiated. The irradiation of all these samples took place in a long-term irradiation assembly located near the JET vacuum vessel. The post-irradiation analysis of the ITER material samples has yielded valuable insights into their material activation levels and radiation fields. Comparative assessments between experimental measurements and comprehensive neutronics simulations have demonstrated a significant level of agreement in this work, while also revealing some discrepancies in specific material instances. The data and interpretation from this work not only serve as a robust experimental foundation for enhancing the precision and predictability of neutronics simulation approaches for ITER and next-step devices but also present some opportunities for the refinement of simulation methodologies. In light of these findings, a series of recommendations have been proposed, aimed at improving confidence in nuclear predictions associated with materials that have been exposed to fusion nuclear environments and advancing understanding in this important domain.","PeriodicalId":19379,"journal":{"name":"Nuclear Fusion","volume":"76 2 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142211941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-12DOI: 10.1088/1741-4326/ad73e8
Zichao Lin, Hongming Zhang, Fudi Wang, Cheonho Bae, Jia Fu, Yongcai Shen, Shuyu Dai, Yifei Jin, Dian Lu, Shengyu Fu, Huajian Ji and Bo Lyu
Artificial neural network models have been developed to predict rotation velocity and ion temperature profiles on the EAST tokamak based on spectral measurements from the x-ray crystal spectrometer. Both Deep Neural Network (DNN) and Convolutional Neural Network (CNN) models have been employed to infer line-integrated ion temperatures. The predicted results from these two models exhibit a strong correlation with the target values, providing an opportunity for cross-validation to enhance prediction accuracy. Notably, the computational speed of these models has been significantly increased, surpassing traditional methods by over tenfold. Furthermore, the investigation of input data range and error prediction serves as the foundation for future automated calculation process. Finally, CNNs have also been employed to predict line-integrated rotation velocity profiles and inverted ion temperature profiles for their robustness in the training process. It is noted that these algorithms are not restricted to any specific physics model and can be readily adapted to various fusion devices.
根据 X 射线晶体光谱仪的光谱测量结果,开发了人工神经网络模型来预测 EAST 托卡马克的旋转速度和离子温度曲线。深度神经网络(DNN)和卷积神经网络(CNN)模型都被用来推断线积分离子温度。这两种模型的预测结果与目标值具有很强的相关性,为交叉验证提供了机会,从而提高了预测的准确性。值得注意的是,这些模型的计算速度有了显著提高,超过传统方法十倍以上。此外,对输入数据范围和误差预测的研究为未来的自动计算过程奠定了基础。最后,CNN 还被用于预测线积分旋转速度剖面和反转离子温度剖面,以确保其在训练过程中的鲁棒性。值得注意的是,这些算法并不局限于任何特定的物理模型,可随时适用于各种融合设备。
{"title":"Prediction of plasma rotation velocity and ion temperature profiles in EAST Tokamak using artificial neural network models","authors":"Zichao Lin, Hongming Zhang, Fudi Wang, Cheonho Bae, Jia Fu, Yongcai Shen, Shuyu Dai, Yifei Jin, Dian Lu, Shengyu Fu, Huajian Ji and Bo Lyu","doi":"10.1088/1741-4326/ad73e8","DOIUrl":"https://doi.org/10.1088/1741-4326/ad73e8","url":null,"abstract":"Artificial neural network models have been developed to predict rotation velocity and ion temperature profiles on the EAST tokamak based on spectral measurements from the x-ray crystal spectrometer. Both Deep Neural Network (DNN) and Convolutional Neural Network (CNN) models have been employed to infer line-integrated ion temperatures. The predicted results from these two models exhibit a strong correlation with the target values, providing an opportunity for cross-validation to enhance prediction accuracy. Notably, the computational speed of these models has been significantly increased, surpassing traditional methods by over tenfold. Furthermore, the investigation of input data range and error prediction serves as the foundation for future automated calculation process. Finally, CNNs have also been employed to predict line-integrated rotation velocity profiles and inverted ion temperature profiles for their robustness in the training process. It is noted that these algorithms are not restricted to any specific physics model and can be readily adapted to various fusion devices.","PeriodicalId":19379,"journal":{"name":"Nuclear Fusion","volume":"47 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142211947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-10DOI: 10.1088/1741-4326/ad6e9f
X. Garbet, P. Donnel, L. De Gianni, Z. Qu, Y. Melka, Y. Sarazin, V. Grandgirard, K. Obrejan, E. Bourne and G. Dif-Pradalier
A reduced model for trapped electron mode stability has been developed, which incorporates the basic effects of magnetic surface shaping, in particular, elongation and triangularity. This model shows that while elongation is stabilising, though weakly, negative triangularity usually leads to a more unstable plasma. This is in marked contrast with the experimental evidence of a better confinement at negative triangularity, and with recent gyrokinetic linear simulations. This paradox is solved when finite orbit and/or finite mode extent along field lines (mode ballooning) effects are included. These effects give more weight to particles trapped at low bounce angles, which are those that exhibit lower precession frequencies at negative—compared to positive—triangularity. As a result, the interchange growth rate becomes lower at negative triangularity and large temperature gradients, so that negative triangularity appears to have an overall stabilising effect. Mode ballooning appears to play the most important role in this reversal of stability.
{"title":"The effect of shaping on trapped electron mode stability: an analytical model","authors":"X. Garbet, P. Donnel, L. De Gianni, Z. Qu, Y. Melka, Y. Sarazin, V. Grandgirard, K. Obrejan, E. Bourne and G. Dif-Pradalier","doi":"10.1088/1741-4326/ad6e9f","DOIUrl":"https://doi.org/10.1088/1741-4326/ad6e9f","url":null,"abstract":"A reduced model for trapped electron mode stability has been developed, which incorporates the basic effects of magnetic surface shaping, in particular, elongation and triangularity. This model shows that while elongation is stabilising, though weakly, negative triangularity usually leads to a more unstable plasma. This is in marked contrast with the experimental evidence of a better confinement at negative triangularity, and with recent gyrokinetic linear simulations. This paradox is solved when finite orbit and/or finite mode extent along field lines (mode ballooning) effects are included. These effects give more weight to particles trapped at low bounce angles, which are those that exhibit lower precession frequencies at negative—compared to positive—triangularity. As a result, the interchange growth rate becomes lower at negative triangularity and large temperature gradients, so that negative triangularity appears to have an overall stabilising effect. Mode ballooning appears to play the most important role in this reversal of stability.","PeriodicalId":19379,"journal":{"name":"Nuclear Fusion","volume":"21 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142211951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-10DOI: 10.1088/1741-4326/ad5a21
M. Hoelzl, G.T.A. Huijsmans, F.J. Artola, E. Nardon, M. Becoulet, N. Schwarz, A. Cathey, S.J.P. Pamela, K. Aleynikova, F. Antlitz, V. Bandaru, H. Bergström, A. Bhole, T. Bogaarts, D. Bonfiglio, F. Cipolletta, T. Driessen, L. Edes, S. Futatani, G. Hao, F. Hindenlang, I. Holod, D. Hu, S. Hu, N. Isernia, H. Isliker, S.K. Kim, M. Kong, S. Korving, L. Kos, I. Krebs, S.J. Lee, Y.C. Liang, Z. Liang, S.J. Liu, Z.X. Lu, L. Meier, L. Messfeldt, V. Mitterauer, N. Nikulsin, B. Nkonga, R. Ramasamy, J. Reinking, C. Rogge, G. Rubinacci, K. Särkimäki, T. Smits, C. Sommariva, R. Sparago, K. Strien, M. Szucs, W. Tang, J. van Tongeren, F. Vannini, S. Ventre, F. Villone, C. Wang, L. Wang, F. Wieschollek, F. Wouters, J. Zielinski and H. Zhang
Transient magneto-hydrodynamic (MHD) events like edge localized modes (ELMs) or disruptions are a concern for magnetic confinement fusion power plants. Research with the MHD code JOREK towards understanding control of such instabilities is reviewed here in a concise way to provide a complete overview, while we refer to the original publications for details. Experimental validation for unmitigated vertical displacement events progressed. The mechanism of vertical force mitigation by impurity injection was identified. Two-way eddy current coupling to CARIDDI was completed. Shattered pellet injection was simulated in JET, KSTAR, ASDEX Upgrade (AUG) and ITER. Benign runaway electron beam termination in JET and ITER was studied. Coupling of kinetic REs to the MHD is ongoing and a virtual RE synchrotron radiation diagnostic was developed. Regarding pedestal physics, regimes devoid of large ELMs in AUG were simulated and predictive JT60-SA simulations are ongoing. For ELM suppression by resonant magnetic perturbations (RMPs), AUG, ITER and EAST simulations were performed. A free boundary RMP model was validated against experiments. Evidence for penetrated magnetic islands at the pedestal top based on AUG experiments and simulations was found. Simulations of the naturally ELM-free quiescent H-mode in AUG and HL-3 show external kink mode formation prevents pedestal build-up towards an ELM within windows of the edge safety factor. With kinetic neutral particles, high field side high density formation in ITER was simulated and with kinetic impurities, tungsten transport in AUG RMP plasmas was studied. To capture turbulent transport, electro-static full-f particle in cell models for ion temperature gradient and trapped electron modes were established and benchmarked. Application to RMP plasmas shows enhanced turbulence in comparison to unperturbed states. Energetic particle interactions with MHD were studied. Flux pumping that prevents the safety factor on axis from dropping below unity was simulated. First non-linear stellarator applications include current relaxation in l = 2 stellarators, while verification for advanced stellarators progresses.
边缘局部模态(ELM)或中断等瞬态磁流体动力(MHD)事件是磁约束核聚变电站所关注的问题。本文简要回顾了利用 MHD 代码 JOREK 开展的研究,旨在了解此类不稳定性的控制情况,以提供完整的概述,详细内容请参阅原始出版物。针对未缓解垂直位移事件的实验验证取得了进展。确定了通过注入杂质减轻垂直力的机制。完成了与 CARIDDI 的双向涡流耦合。在 JET、KSTAR、ASDEX 升级版(AUG)和 ITER 中模拟了碎丸注入。研究了 JET 和 ITER 中的良性失控电子束终止。正在进行动能 RE 与 MHD 的耦合,并开发了虚拟 RE 同步辐射诊断。关于基座物理学,模拟了AUG中没有大ELM的情况,并正在进行JT60-SA的预测模拟。关于共振磁扰动(RMP)对 ELM 的抑制,进行了 AUG、ITER 和 EAST 模拟。根据实验验证了自由边界 RMP 模型。根据 AUG 实验和模拟发现了基座顶部穿透磁岛的证据。对 AUG 和 HL-3 中自然无 ELM 的静态 H 模式的模拟显示,外部扭结模式的形成阻止了基座在边缘安全系数窗口内向 ELM 方向聚集。利用动力学中性粒子,模拟了国际热核聚变实验堆中的高场边高密度形成;利用动力学杂质,研究了 AUG RMP 等离子体中的钨传输。为了捕捉湍流输运,建立了离子温度梯度和困电子模式的静电全f粒子池模型,并对其进行了基准测试。对 RMP 等离子体的应用表明,与未扰动状态相比,湍流增强了。研究了能量粒子与 MHD 的相互作用。模拟了防止轴上的安全系数降到一以下的通量泵。非线性恒星仪的首次应用包括 l = 2 恒星仪中的电流松弛,而高级恒星仪的验证正在进行中。
{"title":"Non-linear MHD modelling of transients in tokamaks: a review of recent advances with the JOREK code","authors":"M. Hoelzl, G.T.A. Huijsmans, F.J. Artola, E. Nardon, M. Becoulet, N. Schwarz, A. Cathey, S.J.P. Pamela, K. Aleynikova, F. Antlitz, V. Bandaru, H. Bergström, A. Bhole, T. Bogaarts, D. Bonfiglio, F. Cipolletta, T. Driessen, L. Edes, S. Futatani, G. Hao, F. Hindenlang, I. Holod, D. Hu, S. Hu, N. Isernia, H. Isliker, S.K. Kim, M. Kong, S. Korving, L. Kos, I. Krebs, S.J. Lee, Y.C. Liang, Z. Liang, S.J. Liu, Z.X. Lu, L. Meier, L. Messfeldt, V. Mitterauer, N. Nikulsin, B. Nkonga, R. Ramasamy, J. Reinking, C. Rogge, G. Rubinacci, K. Särkimäki, T. Smits, C. Sommariva, R. Sparago, K. Strien, M. Szucs, W. Tang, J. van Tongeren, F. Vannini, S. Ventre, F. Villone, C. Wang, L. Wang, F. Wieschollek, F. Wouters, J. Zielinski and H. Zhang","doi":"10.1088/1741-4326/ad5a21","DOIUrl":"https://doi.org/10.1088/1741-4326/ad5a21","url":null,"abstract":"Transient magneto-hydrodynamic (MHD) events like edge localized modes (ELMs) or disruptions are a concern for magnetic confinement fusion power plants. Research with the MHD code JOREK towards understanding control of such instabilities is reviewed here in a concise way to provide a complete overview, while we refer to the original publications for details. Experimental validation for unmitigated vertical displacement events progressed. The mechanism of vertical force mitigation by impurity injection was identified. Two-way eddy current coupling to CARIDDI was completed. Shattered pellet injection was simulated in JET, KSTAR, ASDEX Upgrade (AUG) and ITER. Benign runaway electron beam termination in JET and ITER was studied. Coupling of kinetic REs to the MHD is ongoing and a virtual RE synchrotron radiation diagnostic was developed. Regarding pedestal physics, regimes devoid of large ELMs in AUG were simulated and predictive JT60-SA simulations are ongoing. For ELM suppression by resonant magnetic perturbations (RMPs), AUG, ITER and EAST simulations were performed. A free boundary RMP model was validated against experiments. Evidence for penetrated magnetic islands at the pedestal top based on AUG experiments and simulations was found. Simulations of the naturally ELM-free quiescent H-mode in AUG and HL-3 show external kink mode formation prevents pedestal build-up towards an ELM within windows of the edge safety factor. With kinetic neutral particles, high field side high density formation in ITER was simulated and with kinetic impurities, tungsten transport in AUG RMP plasmas was studied. To capture turbulent transport, electro-static full-f particle in cell models for ion temperature gradient and trapped electron modes were established and benchmarked. Application to RMP plasmas shows enhanced turbulence in comparison to unperturbed states. Energetic particle interactions with MHD were studied. Flux pumping that prevents the safety factor on axis from dropping below unity was simulated. First non-linear stellarator applications include current relaxation in l = 2 stellarators, while verification for advanced stellarators progresses.","PeriodicalId":19379,"journal":{"name":"Nuclear Fusion","volume":"7 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142211948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-10DOI: 10.1088/1741-4326/ad724d
M.D. Boyer, F. Scotti and V. Gajaraj
Deep learning approaches have been applied to images of C III emission in the lower divertor of DIII-D to develop models for estimating the level of detachment and magnetic configuration (X-point location and strike point radial location). The poloidal distance from the target to the C III emission front is used to represent the level of detachment. The models perform well on a test dataset not used in training, achieving F1 scores as high as 0.99 for detachment state classification and root mean squared error (RMSE) as low as 2 cm for front location regression. Predictions for shots with intermittent reattachment are studied, with class activation mapping used to aid in interpretation of the model predictions. Based on the success of these models, a third model was trained to predict the X-point location and strike point radial position from C III images. Though the dataset covers only a small range of possible magnetic configurations, the model shows promising results, achieving RMSE around 1 cm for the test data.
深度学习方法已被应用于 DIII-D 下岔道的 C III 辐射图像,以开发用于估算脱离程度和磁配置(X 点位置和撞击点径向位置)的模型。从目标到 C III 辐射前沿的极坐标距离被用来表示脱离程度。模型在未用于训练的测试数据集上表现良好,脱离状态分类的 F1 分数高达 0.99,前沿位置回归的均方根误差 (RMSE) 低至 2 厘米。对间歇性再附着的射击预测进行了研究,并使用类激活映射来帮助解释模型预测。在这些模型取得成功的基础上,对第三个模型进行了训练,以预测 C III 图像中的 X 点位置和打击点径向位置。虽然数据集仅涵盖了一小部分可能的磁性配置,但该模型显示出良好的效果,测试数据的均方根误差(RMSE)约为 1 厘米。
{"title":"Neural networks for estimation of divertor conditions in DIII-D using C III imaging","authors":"M.D. Boyer, F. Scotti and V. Gajaraj","doi":"10.1088/1741-4326/ad724d","DOIUrl":"https://doi.org/10.1088/1741-4326/ad724d","url":null,"abstract":"Deep learning approaches have been applied to images of C III emission in the lower divertor of DIII-D to develop models for estimating the level of detachment and magnetic configuration (X-point location and strike point radial location). The poloidal distance from the target to the C III emission front is used to represent the level of detachment. The models perform well on a test dataset not used in training, achieving F1 scores as high as 0.99 for detachment state classification and root mean squared error (RMSE) as low as 2 cm for front location regression. Predictions for shots with intermittent reattachment are studied, with class activation mapping used to aid in interpretation of the model predictions. Based on the success of these models, a third model was trained to predict the X-point location and strike point radial position from C III images. Though the dataset covers only a small range of possible magnetic configurations, the model shows promising results, achieving RMSE around 1 cm for the test data.","PeriodicalId":19379,"journal":{"name":"Nuclear Fusion","volume":"28 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142211949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-09DOI: 10.1088/1741-4326/ad75a5
Bo Simmendefeldt Schmidt, Jakob Sauer Jørgensen, José Rueda-Rueda, Joaquín Galdon-Quíroga, Manuel García-Muñoz, Mirko Salewski and the ASDEX Upgrade Team
We introduce an anisotropic regularization framework for the reconstruction of distribution functions from measurements, utilizing an approach that applies distinct regularization techniques such as non-negative constrained Tikhonov, total variation, and Besov-space priors, either penalizing the one-norm or the two-norm, in each dimension to reflect the anisotropic characteristics of the multidimensional data. This method, applied to fast-ion loss detector (FILD) measurements, demonstrates a significant improvement over conventional nonnegative-constrained zeroth-order Tikhonov regularization because the prior information of the form of the distribution allows better reconstructions. The validity of the approach is corroborated through FILD measurements of prompt fast-ion losses in an ASDEX Upgrade discharge, where the reconstructed distribution function agrees well with the prompt-loss distribution predicted by ASCOT simulations. Moreover, we develop a composite quality metric, Q, that combines the mean squared error and the Jaccard index for a comprehensive evaluation of reconstruction accuracy and spatial fidelity. Finally, anisotropic regularization is applied to FILD measurements at ASDEX Upgrade to study fast-ion acceleration by edge-localized modes. The refined analysis resolves fine structure in the pitch of the accelerated ions and clearly shows that some ions are accelerated to over twice the injection energy.
{"title":"Anisotropic regularization for inversion of fast-ion loss detector measurements","authors":"Bo Simmendefeldt Schmidt, Jakob Sauer Jørgensen, José Rueda-Rueda, Joaquín Galdon-Quíroga, Manuel García-Muñoz, Mirko Salewski and the ASDEX Upgrade Team","doi":"10.1088/1741-4326/ad75a5","DOIUrl":"https://doi.org/10.1088/1741-4326/ad75a5","url":null,"abstract":"We introduce an anisotropic regularization framework for the reconstruction of distribution functions from measurements, utilizing an approach that applies distinct regularization techniques such as non-negative constrained Tikhonov, total variation, and Besov-space priors, either penalizing the one-norm or the two-norm, in each dimension to reflect the anisotropic characteristics of the multidimensional data. This method, applied to fast-ion loss detector (FILD) measurements, demonstrates a significant improvement over conventional nonnegative-constrained zeroth-order Tikhonov regularization because the prior information of the form of the distribution allows better reconstructions. The validity of the approach is corroborated through FILD measurements of prompt fast-ion losses in an ASDEX Upgrade discharge, where the reconstructed distribution function agrees well with the prompt-loss distribution predicted by ASCOT simulations. Moreover, we develop a composite quality metric, Q, that combines the mean squared error and the Jaccard index for a comprehensive evaluation of reconstruction accuracy and spatial fidelity. Finally, anisotropic regularization is applied to FILD measurements at ASDEX Upgrade to study fast-ion acceleration by edge-localized modes. The refined analysis resolves fine structure in the pitch of the accelerated ions and clearly shows that some ions are accelerated to over twice the injection energy.","PeriodicalId":19379,"journal":{"name":"Nuclear Fusion","volume":"19 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142211954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-09DOI: 10.1088/1741-4326/ad73e9
A. Fil, L. Henden, S. Newton, M. Hoppe, O. Vallhagen
Generation of Runaway Electrons (REs) during plasma disruptions is of great concern for ITER and future reactors based on the tokamak concept. Unmitigated RE generation in the current STEP (Spherical Tokamak for Energy Production) concept design is modelled using the code DREAM, with hot-tail generation found to be the dominant primary generation mechanism and avalanche multiplication of REs found to be extremely high. Varying assumptions for the prescribed thermal quench (TQ) phase (duration, final electron temperature) as well as the wall time, the plasma-wall distance, and shaping effects, all STEP full-power and full-current unmitigated disruptions generate large RE beams (from 10 MA up to full conversion). RE mitigation is first studied by modelling idealised mixed impurity injections, with ad-hoc particle transport arising from the stochasticity of the magnetic field during the TQ, but no combination of argon and deuterium quantities allows runaways to be avoided while respecting the other constraints of disruption mitigation. Initial concept of STEP disruption mitigation system is then tested with DREAM, assuming two-stage shattered pellet injections (SPI) of pure