Double Loop Configuration of a Flaring Region from Microwave, Extreme‐Ultraviolet, and X‐Ray Imaging Data

2001 ◽  
Vol 563 (1) ◽  
pp. 389-402 ◽  
Author(s):  
M. R. Kundu ◽  
V. V. Grechnev ◽  
V. I. Garaimov ◽  
S. M. White
Keyword(s):  
Extreme Ultraviolet ◽  
Double Loop ◽  
Imaging Data ◽  
X Ray ◽  
X Ray Imaging

Achromatic Fresnel optics for wideband extreme-ultraviolet and X-ray imaging

Nature ◽  
2003 ◽  
Vol 424 (6944) ◽  
pp. 50-53 ◽  
Author(s):  
Yuxin Wang ◽  
Wenbing Yun ◽  
Chris Jacobsen
Keyword(s):  
Extreme Ultraviolet ◽  
X Ray ◽  
X Ray Imaging

scholarly journals A Study on Stereoscopic X-ray Imaging Data Set on the Accuracy of Real-Time Tumor Tracking in External Beam Radiotherapy

2016 ◽  
Vol 16 (2) ◽  
pp. 167-177 ◽  
Author(s):  
Ahmad Esmaili Torshabi ◽  
Leila Ghorbanzadeh
Keyword(s):  
External Beam Radiotherapy ◽  
Training Data ◽  
Imaging Data ◽  
Data Set ◽  
X Ray ◽  
Tumor Tracking ◽  
X Ray Imaging ◽  
Additional Imaging ◽  
Data Points ◽  
Imaging Dose

At external beam radiotherapy, stereoscopic X-ray imaging system is responsible as tumor motion information provider. This system takes X-ray images intermittently from tumor position (1) at pretreatment step to provide training data set for model construction and (2) during treatment to control the accuracy of correlation model performance. In this work, we investigated the effect of imaging data points provided by this system on treatment quality. Because some information is still lacking about (1) the number of imaging data points, (2) shooting time for capturing each data point, and also (3) additional imaging dose delivered by this system. These 3 issues were comprehensively assessed at (1) pretreatment step while training data set is gathered for prediction model construction and (2) during treatment while model is tested and reconstructed using new arrival data points. A group of real patients treated with CyberKnife Synchrony module was chosen in this work, and an adaptive neuro-fuzzy inference system was considered as consistent correlation model. Results show that a proper model can be constructed while the number of imaging data points is highly enough to represent a good pattern of breathing cycles. Moreover, a trade-off between the number of imaging data points and additional imaging dose is considered in this study. Since breathing phenomena are highly variable at different patients, the time for taking some of imaging data points is very important, while their absence at that critical time may yield wrong tumor tracking. In contrast, the sensitivity of another category of imaging data points is not high, while breathing is normal and in the control range. Therefore, an adaptive supervision on the implementation of stereoscopic X-ray imaging is proposed to intelligently accomplish shooting process, based on breathing motion variations.

Versatile Lithium Fluoride Luminescent Detectors for High Resolution Imaging Applications from Extreme Ultraviolet to Soft and Hard X-Rays

2016 ◽  
Vol 98 ◽  
pp. 54-63
Author(s):  
Francesca Bonfigli ◽  
Enrico Nichelatti ◽  
Maria Aurora Vincenti ◽  
Rosa Maria Montereali
Keyword(s):  
Spatial Resolution ◽  
Lithium Fluoride ◽  
Dynamic Range ◽  
High Spatial Resolution ◽  
Extreme Ultraviolet ◽  
Large Field ◽  
X Rays ◽  
X Ray ◽  
Research Fields ◽  
X Ray Imaging

X-ray imaging represents a very relevant tool in basic and applied research fields due to the possibility of performing non-destructive investigations with high spatial resolution. We present innovative X-ray imaging detectors based on visible photoluminescence from aggregate electronic defects locally created in lithium fluoride (LiF) during irradiation. Among the peculiarities of these detectors, noteworthy ones are their very high spatial resolution (intrinsic ∼2 nm, standard ∼300 nm) across a large field of view (>10 cm2), wide dynamic range (>103) and their insensitivity to ambient light. The material photoluminescence response can be enhanced through the proper choice of reflecting substrates and multi-layer designs in the case of LiF films. The present investigation deals with the most appealing X-ray imaging applications, from simple lensless imaging configurations with commonly-available laboratory polychromatic X-ray sources to X-ray imaging-dedicated synchrotron beamlines in absorption and phase contrast experiments.

scholarly journals Extreme ultraviolet and soft X-ray imaging using compact laser-plasma sources based on a double stream gas-puff target

2013 ◽  
Vol 5 (4) ◽  
Author(s):  
Przemyslaw Wojciech Wachulak ◽  
Andrzej Bartnik ◽  
Jerzy Kostecki ◽  
Lukasz Wegrzynski ◽  
Tomasz Fok ◽  
...  
Keyword(s):  
Laser Plasma ◽  
Extreme Ultraviolet ◽  
Plasma Sources ◽  
X Ray ◽  
X Ray Imaging

scholarly journals PyNX: high-performance computing toolkit for coherent X-ray imaging based on operators

2020 ◽  
Vol 53 (5) ◽  
pp. 1404-1413
Author(s):  
Vincent Favre-Nicolin ◽  
Gaétan Girard ◽  
Steven Leake ◽  
Jerome Carnis ◽  
Yuriy Chushkin ◽  
...  
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Near Field ◽  
Data Sets ◽  
Imaging Data ◽  
Multiple Gpus ◽  
X Ray ◽  
X Ray Imaging ◽  
Graphical Processing ◽  
Performance Computing

The open-source PyNX toolkit has been extended to provide tools for coherent X-ray imaging data analysis and simulation. All calculations can be executed on graphical processing units (GPUs) to achieve high-performance computing speeds. The toolkit can be used for coherent diffraction imaging (CDI), ptychography and wavefront propagation, in the far- or near-field regime. Moreover, all imaging operations (propagation, projections, algorithm cycles…) can be implemented in Python as simple mathematical operators, an approach which can be used to easily combine basic algorithms in a tailored chain. Calculations can also be distributed to multiple GPUs, e.g. for large ptychography data sets. Command-line scripts are available for on-line CDI and ptychography analysis, either from raw beamline data sets or using the coherent X-ray imaging data format.

scholarly journals Multi-epoch X-ray imaging of globular cluster M62 with Chandra

2020 ◽  
Vol 498 (1) ◽  
pp. 292-303
Author(s):  
Kwangmin Oh ◽  
C Y Hui ◽  
K L Li ◽  
A K H Kong
Keyword(s):  
Globular Cluster ◽  
Globular Clusters ◽  
Imaging Data ◽  
Short Term ◽  
Observation Window ◽  
X Ray ◽  
Compact Binaries ◽  
X Ray Imaging ◽  
Low Mass

ABSTRACT Using archival spectral-imaging data with a total exposure of ∼144 ks obtained by Chandra, 43 X-ray sources are detected within the half-light radius of globular cluster M62 (NGC 6266). Based on the X-ray colour–luminosity diagram or the positional coincidences with known sources, we have classified these sources into different groups of compact binaries including cataclysmic variable (CV), quiescent low-mass X-ray binary (qLMXB), millisecond pulsar, and black hole (BH). Candidates of the X-ray counterparts of 12 CVs, 4 qLMXBs, 2 MSPs, and 1 BH are identified in our analysis. The data used in our analysis consist of two frames separated by 12 yr, which enable us to search for the long-term variability as well as the short-term X-ray flux variability within each observation window. Evidence for the short-term variability and long-term variability have been found in 7 and 12 sources, respectively. For a number of bright sources with X-ray luminosities Lx ≳ 1032 erg s−1, we have characterized their spectral properties in further details. By comparing the X-ray population in M62 with those in several other prototypical globular clusters, we found the proportion of bright sources is larger in M62 that can possibly be a result of their active dynamical formation processes.

scholarly journals An X-ray image of the Large Magellanic Cloud: detection of the hot interstellar medium

1991 ◽  
Vol 148 ◽  
pp. 37-44
Author(s):  
D. J. Helfand
Keyword(s):  
Energy Balance ◽  
Interstellar Medium ◽  
Large Magellanic Cloud ◽  
Magellanic Cloud ◽  
Imaging Data ◽  
Cloud Detection ◽  
X Ray ◽  
X Ray Imaging ◽  
30 Doradus

We report the results of a comprehensive reanalysis of the X-ray imaging data for the Large Magellanic Cloud obtained with the Einstein Observatory. A map covering 37 deg2 of the Cloud is presented. The total 0.15–3.5 keV luminosity is ˜ 5 × 1038erg s--1, two thirds of which can be attributed to the 105 identified discrete emitters and the remainder of which arise from the coronal component of the interstellar medium at temperatures from ˜ 2 to ˜ 10 × 106K. The energy balance for this hot ISM and the morphology of specific regions such as 30 Doradus and LMC-2 are briefly discussed.

The Coherent X-ray Imaging Data Bank

2012 ◽  
Vol 9 (9) ◽  
pp. 854-855 ◽  
Author(s):  
Filipe R N C Maia
Keyword(s):  
Data Bank ◽  
Imaging Data ◽  
X Ray ◽  
X Ray Imaging
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