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  • 1
    Online Resource
    Online Resource
    Operation and performance of the ATLAS semiconductor tracker in LHC Run 2
    IOP Publishing ; 2022
    In:  Journal of Instrumentation Vol. 17, No. 01 ( 2022-01-01), p. P01013-
    Details
    In: Journal of Instrumentation, IOP Publishing, Vol. 17, No. 01 ( 2022-01-01), p. P01013-
    Abstract: The semiconductor tracker (SCT) is one of the tracking systems for charged particles in the ATLAS detector. It consists of 4088 silicon strip sensor modules. During Run 2 (2015–2018) the Large Hadron Collider delivered an integrated luminosity of 156 fb -1 to the ATLAS experiment at a centre-of-mass proton-proton collision energy of 13 TeV. The instantaneous luminosity and pile-up conditions were far in excess of those assumed in the original design of the SCT detector. Due to improvements to the data acquisition system, the SCT operated stably throughout Run 2. It was available for 99.9% of the integrated luminosity and achieved a data-quality efficiency of 99.85%. Detailed studies have been made of the leakage current in SCT modules and the evolution of the full depletion voltage, which are used to study the impact of radiation damage to the modules.
    Type of Medium: Online Resource
    ISSN: 1748-0221
    URL: Article
    DOI: 10.1088/1748-0221/17/01/P01013
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2022
    detail.hit.zdb_id: 2235672-1
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  • 2
    Online Resource
    Online Resource
    A new calibration method for charm jet identification validated with proton-proton collision events at √s = 13 TeV
    IOP Publishing ; 2022
    In:  Journal of Instrumentation Vol. 17, No. 03 ( 2022-03-01), p. P03014-
    Details
    In: Journal of Instrumentation, IOP Publishing, Vol. 17, No. 03 ( 2022-03-01), p. P03014-
    Abstract: Many measurements at the LHC require efficient identification of heavy-flavour jets, i.e. jets originating from bottom (b) or charm (c) quarks. An overview of the algorithms used to identify c jets is described and a novel method to calibrate them is presented. This new method adjusts the entire distributions of the outputs obtained when the algorithms are applied to jets of different flavours. It is based on an iterative approach exploiting three distinct control regions that are enriched with either b jets, c jets, or light-flavour and gluon jets. Results are presented in the form of correction factors evaluated using proton-proton collision data with an integrated luminosity of 41.5 fb -1 at  √s = 13 TeV, collected by the CMS experiment in 2017. The closure of the method is tested by applying the measured correction factors on simulated data sets and checking the agreement between the adjusted simulation and collision data. Furthermore, a validation is performed by testing the method on pseudodata, which emulate various mismodelling conditions. The calibrated results enable the use of the full distributions of heavy-flavour identification algorithm outputs, e.g. as inputs to machine-learning models. Thus, they are expected to increase the sensitivity of future physics analyses.
    Type of Medium: Online Resource
    ISSN: 1748-0221
    URL: Article
    DOI: 10.1088/1748-0221/17/03/P03014
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2022
    detail.hit.zdb_id: 2235672-1
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  • 3
    Online Resource
    Online Resource
    Calibrating measured milling force during long-duration monitoring
    IOP Publishing ; 2019
    In:  IOP Conference Series: Earth and Environmental Science Vol. 295, No. 4 ( 2019-07-01), p. 042032-
    Details
    In: IOP Conference Series: Earth and Environmental Science, IOP Publishing, Vol. 295, No. 4 ( 2019-07-01), p. 042032-
    Abstract: Piezoelectric force sensor is used to measure cutting force in most milling process to get important manufacturing information. However, the measured milling force may be not accurate due to the charge leak in piezoelectric sensor during long-duration monitoring, which will cause a zero-drift problem in measuring milling force. Measuring milling force with zero-drift problem, the measured average cutting force should be calibrated in order to get correct force information. In this study, the measured first harmonic force components are used to calibrate average cutting force components based on cutting force model. There are two steps in this method for calibrating average force components. The first step uses the measured first harmonic force components to extract the specific cutting constants from the ratio of the measured first harmonic force components in X and Y directions, and the second step utilizes the identified cutting constants to calibrate the average force components. The limitations of presented method are also discussed in this paper. The validity of the proposed method is confirmed through milling experiments.
    Type of Medium: Online Resource
    ISSN: 1755-1307 , 1755-1315
    URL: Article
    DOI: 10.1088/1755-1315/295/4/042032
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2019
    detail.hit.zdb_id: 2434538-6
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  • 4
    Online Resource
    Online Resource
    Comprehensive Study of a New Self-Convergent Programming Scheme for Split Gate Flash Memory
    IOP Publishing ; 2000
    In:  Japanese Journal of Applied Physics Vol. 39, No. 4S ( 2000-04-01), p. 2219-
    Details
    In: Japanese Journal of Applied Physics, IOP Publishing, Vol. 39, No. 4S ( 2000-04-01), p. 2219-
    Abstract: A new self-convergent constant current programming achieved by a ramp-up source voltage is extensively studied in this work. Based on the results of a constant programming current and self-convergent characteristics, several methods are presented to achieve accurate control of multiple programmed states. Both efficient programming speed and excellent reliability are demonstrated. The proposed programming technique is considered to be a promising candidate for high-speed, high-density, and low-power multilevel split gate flash memory.
    Type of Medium: Online Resource
    ISSN: 0021-4922 , 1347-4065
    URL: Article
    DOI: 10.1143/JJAP.39.2219
    RVK:
    UA 4210.1
    RVK:
    UA 4210.2
    RVK:
    UA 4210
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2000
    detail.hit.zdb_id: 218223-3
    detail.hit.zdb_id: 797294-5
    detail.hit.zdb_id: 2006801-3
    detail.hit.zdb_id: 797295-7
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  • 5
    Online Resource
    Online Resource
    Clinically-derived oscillatory biomarker predicts optimal subthalamic stimulation for Parkinson’s disease
    IOP Publishing ; 2022
    In:  Journal of Neural Engineering Vol. 19, No. 2 ( 2022-04-01), p. 026013-
    Details
    In: Journal of Neural Engineering, IOP Publishing, Vol. 19, No. 2 ( 2022-04-01), p. 026013-
    Abstract: Objective . Choosing the optimal electrode trajectory, stimulation location, and stimulation amplitude in subthalamic nucleus deep brain stimulation (STN DBS) for Parkinson’s disease remains a time-consuming empirical effort. In this retrospective study, we derive a data-driven electrophysiological biomarker that predicts clinical DBS location and parameters, and we consolidate this information into a quantitative score that may facilitate an objective approach to STN DBS surgery and programming. Approach . Random-forest feature selection was applied to a dataset of 1046 microelectrode recordings (MERs) sites across 20 DBS implant trajectories to identify features of oscillatory activity that predict clinically programmed volumes of tissue activation (VTAs). A cross-validated classifier was used to retrospectively predict VTA regions from these features. Spatial convolution of probabilistic classifier outputs along MER trajectories produced a biomarker score that reflects the probability of localization within a clinically optimized VTA. Main results . Biomarker scores peaked within the VTA region and were significantly correlated with percent improvement in postoperative motor symptoms (Part III of the Movement Disorders Society revision of the Unified Parkinson Disease Rating Scale, R = 0.61, p = 0.004). Notably, the length of STN, a common criterion for trajectory selection, did not show similar correlation ( R = −0.31, p = 0.18). These findings suggest that biomarker-based trajectory selection and programming may improve motor outcomes by 9 ± 3 percentage points ( p = 0.047) in this dataset. Significance . A clinically defined electrophysiological biomarker not only predicts VTA size and location but also correlates well with motor outcomes. Use of this biomarker for trajectory selection and initial stimulation may potentially simplify STN DBS surgery and programming.
    Type of Medium: Online Resource
    ISSN: 1741-2560 , 1741-2552
    URL: Article
    DOI: 10.1088/1741-2552/ac5c8c
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2022
    detail.hit.zdb_id: 2135187-9
    SSG: 12
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  • 6
    Online Resource
    Online Resource
    Slicing Methodology of A CAD File for 3D Printing
    IOP Publishing ; 2020
    In:  IOP Conference Series: Materials Science and Engineering Vol. 852, No. 1 ( 2020-07-01), p. 012074-
    Details
    In: IOP Conference Series: Materials Science and Engineering, IOP Publishing, Vol. 852, No. 1 ( 2020-07-01), p. 012074-
    Abstract: Additive Manufacturing is the formalized term for what used to be called rapid prototyping and what is popularly called 3D Printing by adding layer-upon-layer of material, whether the material is plastic, metal,.etc. Stereolithography(STL) is the standard file type used by most additive manufacturing processes. This is the file type whichwill be saved from the 3D design software package, etc.solidwork.Most commonly the slicer and the client software are combined, making the conversion from STL file3D Print straight forward and simple. Before printing a 3D model from an STL file, it must first be examined forthe errors. The errors are surfaces or facets don’t meet and facets that are too thin. Software programs such as Meshmixer, Cura and Slic3r are examples, which will correct these issues.
    Type of Medium: Online Resource
    ISSN: 1757-8981 , 1757-899X
    URL: Article
    DOI: 10.1088/1757-899X/852/1/012074
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2020
    detail.hit.zdb_id: 2506501-4
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  • 7
    Online Resource
    Online Resource
    A New Bit-Line-Controlled Self-Convergent Multilevel AND-Type Flash Memory
    IOP Publishing ; 2000
    In:  Japanese Journal of Applied Physics Vol. 39, No. 4S ( 2000-04-01), p. 2215-
    Details
    In: Japanese Journal of Applied Physics, IOP Publishing, Vol. 39, No. 4S ( 2000-04-01), p. 2215-
    Abstract: In this paper, we propose a new programming technique for multilevel AND-type flash memory. It achieves multiple programmed states through a bit-line-controlled self-convergent operation. Experimental results demonstrate superior capability of tightening threshold voltage distribution and significant improvement in endurance characteristics. Excellent immunity to program disturbance is also demonstrated.
    Type of Medium: Online Resource
    ISSN: 0021-4922 , 1347-4065
    URL: Article
    DOI: 10.1143/JJAP.39.2215
    RVK:
    UA 4210.1
    RVK:
    UA 4210.2
    RVK:
    UA 4210
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2000
    detail.hit.zdb_id: 218223-3
    detail.hit.zdb_id: 797294-5
    detail.hit.zdb_id: 2006801-3
    detail.hit.zdb_id: 797295-7
    Location Call Number Limitation Availability
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