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IEEE International Ultrasonics Symposium

作者： Van Neer, P.L.M.J. Danilouchkine, M.G. Matte, G.M. Voormolen, M.M. Verweij, M.D. De Jong, N. Department of Biomedical Engineering Erasmus MC P. O. Box 2040 Rotterdam 3000 CA Netherlands Interuniversity Cardiology Institute of the Netherlands Utrecht 3501 DG Netherlands Dept. of Circ. and Imag. Norwegian University of Science and Technology Prinsesse Kristinas gate 3 Trondheim Norway Lab. of Electromagnetic Res. Fac. of Elec. Eng. Mathematics and Computer Sci. Delft University of Technology Delft 2628 CD Netherlands Department of Physics of Fluids University of Twente P. O. Box 217 Enschede 7522 NB Netherlands

ISBN: (纸本)9781457703829

A number of ultrasound methods are available for medical *** imaging uses the echoes from the same spectral band as thetransmitted pulse. Tissue harmonic imaging (THI) utilizes frequencies atmultiple(s) of the fundamental and effectively suppresses reverberations, andoff-axis and near-field artifacts. Two types of THI comprise second-andsuperharmonic imaging (SHI). The former uses the second harmonic of the echoesand the latter combines the third to fifth harmonics. Clinical research showedthat the optimal transmit frequency for fundamental and second harmonic cardiacimaging is 3.5 and 1.8 MHz respectively. As the level of the harmonics isdetermined by a balance of nonlinear propagation and attenuation, the optimalfrequency for SHI is expected to be lower. The first goal of this study was toinvestigate the optimal transmit frequency for SHI by simulating the entireimaging chain based on an adapted SONAR equation. Two simulation cases areexamined: the first uses cardiac tissue properties and the second is based on amix of 50% cardiac tissue and 50% blood. Using the SONAR equation thesignal-to-noise ratio (SNR) for the second to fifth harmonics was computed up to15 cm for 1-2.5 MHz transmit frequencies. The transducer's transmit and receivetransfer was modeled, as well as its noise. The adaptation included nonlinearforward propagation calculated with axisymmetric KZK, the backpropagation waslinear. The highest frequency yielding a 30 dB dynamic range at the requiredimaging dept. was assumed optimal. The second goal of this study was to comparethe beams produced by optimal fundamental, second and SHI for cardiacapplications. To this end we used a 3D KZK implementation for rectangularapertures. The optimal transmit frequency for SHI was 1.0-1.2 MHz at 13 cm usingcardiac tissue properties, this increased to 1.7 MHz if the properties of thecardiac tissue/blood mix were used. The 6 dB lateral beam width of the optimalfundamental, second-and SHI at 10 cm was

关键词： Signal to noise ratio

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Superharmonic imaging based on chirps

Superharmonic imaging based on chirps

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IEEE International Ultrasonics Symposium

作者： Danilouchkine, M.G. Van Neer, P.L.M.J. Matte, G.M. Voormolen, M.M. Verweij, M.D. De Jong, N. Department of Biomedical Engineering Erasmus MC P. O. Box 2040 Rotterdam 3000 CA Netherlands Interuniversity Cardiology Institute of the Netherlands Utrecht 3501 DG Netherlands Dept. of Circ. and Imag. Norwegian University of Science and Technology Olav Kyrres gate 9-4N Trondheim Norway Lab. of Electromagnetic Res. Fac. of Elec. Eng. Mathematics and Computer Sci. Delft University of Technology Delft 2628 CD Netherlands Department of Physics of Fluids University of Twente P. O. Box 217 Enschede 7522 NB Netherlands

ISBN: (纸本)9781457703829

In medical ultrasound harmonic images of biological tissue are commonlyobtained by analyzing the reflected echoes from the 2nd harmonicband. A new modality dubbed super-harmonic imaging (SHI) targets a combinationof the 3rd-5th harmonics. SHI is expected to yieldenhanced spatial resolution and thus to increase the quality of echographicimages. On the other hand, those images obtained using short imaging pulses aresusceptible to so-called multiple axial reflection artifacts, stemming from thetroughs in between harmonics in the frequency domain. The recently proposeddual-pulse frequency compounding method suppresses these artifacts but reducesthe frame rate by a factor of 2. In this work we research the feasibility ofemploying a chirp protocol to perform SHI without compromising the frame *** chirp protocol was implemented using an interleaved phased array transducer(44 elements tuned at 1 MHz, 44 elements at 3.7 MHz) in combination with a fullyprogrammable ultrasound system. The transducer was mounted in the side of awater-filled tank. Linear chirps with a center frequency of 1 MHz and abandwidth of 40% were used as excitation pulses. Radio frequency traces wererecorded at the focal plane along the lateral axis using a hydrophone, filteredover the superharmonic band and convolved with a decoding signal to obtain pointspread functions (PSFs). The decoding signal was acquired by simulating theemitted beam using the KZK method for a rectangular aperture. The decodedsuperharmonic chirp had an SNR of 35-40 dB. Comparing to a the 3 rdharmonic produced by a 2.5 cycle 1 MHz Gaussian apodized sine burst transmissionthe lateral beam width of the superharmonic chirp signal is 0.8 and 0.9 timesthat of the 3rd harmonic at the 6 dB and 20 dB levels *** the axial beam width, the superharmonic chirp signal has 0.9 and 0.8times the axial beam width of the 3rd harmonic at the 6 dB and 20 dBlevels respectively. The superharmonic chirp PSF is virtually free from

关键词： Optical transfer function

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A comparative study of optimal fundamental, second-and superharmonic imaging

A comparative study of optimal fundamental, second-and super...

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ISBN: (纸本)9781457703829

A number of ultrasound methods are available for medical imaging. Fundamental imaging uses the echoes from the same spectral band as the transmitted pulse. Tissue harmonic imaging (THI) utilizes frequencies at multiple(s) of the fundamental and effectively suppresses reverberations, and off-axis and near-field artifacts. Two types of THI comprise second-and superharmonic imaging (SHI). The former uses the second harmonic of the echoes and the latter combines the third to fifth harmonics. Clinical research showed that the optimal transmit frequency for fundamental and second harmonic cardiac imaging is 3.5 and 1.8 MHz respectively. As the level of the harmonics is determined by a balance of nonlinear propagation and attenuation, the optimal frequency for SHI is expected to be lower. The first goal of this study was to investigate the optimal transmit frequency for SHI by simulating the entire imaging chain based on an adapted SONAR equation. Two simulation cases are examined: the first uses cardiac tissue properties and the second is based on a mix of 50% cardiac tissue and 50% blood. Using the SONAR equation the signal-to-noise ratio (SNR) for the second to fifth harmonics was computed up to 15 cm for 1-2.5 MHz transmit frequencies. The transducer's transmit and receive transfer was modeled, as well as its noise. The adaptation included nonlinear forward propagation calculated with axisymmetric KZK, the backpropagation was linear. The highest frequency yielding a 30 dB dynamic range at the required imaging dept. was assumed optimal. The second goal of this study was to compare the beams produced by optimal fundamental, second and SHI for cardiac applications. To this end we used a 3D KZK implementation for rectangular apertures. The optimal transmit frequency for SHI was 1.0-1.2 MHz at 13 cm using cardiac tissue properties, this increased to 1.7 MHz if the properties of the cardiac tissue/blood mix were used. The 6 dB lateral beam width of the optimal fundamental, s

关键词： Clinical research

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ICT BONE views on the network of the future: The role of optical networking

ICT BONE views on the network of the future: The role of opt...

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2010 12th International Conference on Transparent Optical Networks, ICTON 2010

作者： Politi, Christina Tzanakaki, Anna O'Mahony, Michael Katrinis, Kostas Van Daele, Peter Pickavet, Mario Simeonidou, Dimitra Stavdas, Alexandros Franzl, Gerald Mitchell, John Castoldi, Piero Spadaro, Salvatore Callegatti, Franco Petropoulos, Periklis Vlachos, Kyriakos Pattavina, Achille Department of Telecommunications Science and Technology University of Peloponnese Tripolis Terma Karaiskaki 22100 Greece Athens Information Technology Markopoulo Avenue Peania 19002 Athens Greece University of Essex Wivenhoe Park CO43SQ United Kingdom IBBT Ghent University Belgium Vienna University of Technology Favoritenstr. 9/388 1040 Vienna Austria Department of Electronic and Electrical Engineering UCL Torrington Place London WC1E 7JE United Kingdom Scuola Superiore Sant'Anna Via Moruzzi 1 56124 Pisa Italy Universitat Politècnica de Catalunya Barcelona Spain DEIS University of Bologna Via Venezia 52 47023 Cesena Italy Optoelectronics Research Centre University of Southampton Southampton SO17 1BJ United Kingdom Computer Engineering and Informatics Department Research Academic Computer Technology Institute University of Patras Rio Greece Dept. of Electronics and Information Politecnico di Milano Italy

ISBN: (纸本)9781424477975

Part of the activities of the ICT EU Network of Excellence "Building the future Optical Network in Europe" (BONE) project is the development of the European Roadmap on Optical Networking in the context of the "Network of the Future". This paper presents a summary of the views of the BONE consortium as they were developed in the framework of the Roadmap activity. The methodology followed in the development of the BONE Roadmap was firstly to identify and analyse the status of broadband access penetration as well as the availability of specific network and IT technologies in various European countries. The data collected were then processed and translated into the traffic volume (distributed across different European countries) that a Pan- European network would need to support. This information is then used as the basis of a WDM optical network dimensioning exercise performed with the aim of identifying the scale of the required optical network. In addition, based on estimations regarding the evolution of broadband access technologies and the degree of broadband penetration and network services and applications, extrapolations regarding the growth of traffic to be supported by the European Network of the Future were made in a systematic manner. These were also used to dimension and understand the requirements of the European Network of the Future. This paper presents the relevant results and also provides a discussion on the BONE consortium views on the Network of the Future from an architectural and technology perspective and an outlook of the relevant key research challenges and possible solutions. © 2010 IEEE.

关键词： Fiber optic networks

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Superharmonic imaging based on chirps

Superharmonic imaging based on chirps

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IEEE Symposium (IUS) Ultrasonics

作者： M. G. Danilouchkine P. L. M. J. van Neer G. M. Matte M. M. Voormolen M. D. Verweij N. de Jong Interuniversity Cardiology Institute of the Netherlands Utrecht DG The Netherlands Department of Biomedical Engineering Rotterdam CA The Netherlands Dept. of Circ. and Imag. Norwegian University of Science and Technology Trondheim Norway Lab. of Electromagnetic Res. Fac. of Elec. Eng. Mathematics and Computer Sci. Delft University of Technology Delft CD The Netherlands Department of Physics of Fluids University of Twente Enschede NB The Netherlands

ISBN: (纸本)9781457703829

In medical ultrasound harmonic images of biological tissue are commonly obtained by analyzing the reflected echoes from the 2 nd harmonic band. A new modality dubbed super harmonic imaging (SHI) targets a combination of the 3 rd -5 th harmonics. SHI is expected to yield enhanced spatial resolution and thus to increase the quality of echographic images. On the other hand, those images obtained using short imaging pulses are susceptible to so-called multiple axial reflection artifacts, stemming from the troughs in between harmonics in the frequency domain. The recently proposed dual-pulse frequency compounding method suppresses these artifacts but reduces the frame rate by a factor of 2. In this work we research the feasibility of employing a chirp protocol to perform SHI without compromising the frame rate. The chirp protocol was implemented using an interleaved phased array transducer (44 elements tuned at 1 MHz, 44 elements at 3.7 MHz) in combination with a fully programmable ultrasound system. The transducer was mounted in the side of a water-filled tank. Linear chirps with a center frequency of 1 MHz and a bandwidth of 40% were used as excitation pulses. Radio frequency traces were recorded at the focal plane along the lateral axis using a hydrophone, filtered over the superharmonic band and convolved with a decoding signal to obtain point spread functions (PSFs). The decoding signal was acquired by simulating the emitted beam using the KZK method for a rectangular aperture. The decoded superharmonic chirp had an SNR of 35-40 dB. Comparing to a the 3 rd harmonic produced by a 2.5 cycle 1 MHz Gaussian apodized sine burst transmission the lateral beam width of the superharmonic chirp signal is 0.8 and 0.9 times that of the 3 rd harmonic at the -6 dB and -20 dB levels respectively. Regarding the axial beam width, the superharmonic chirp signal has 0.9 and 0.8 times the axial beam width of the 3 rd harmonic at the -6 dB and -20 dB levels respectively. The superh

关键词： Chirp Harmonic analysis Imaging Protocols Sonar equipment Decoding Acoustics

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Optimal distributed kalman and lainiotis filters: Optimal uniform distribution of measurements into local processors

Optimal distributed kalman and lainiotis filters: Optimal un...

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2009 16th International Conference on Systems, Signals and Image Processing, IWSSIP 2009

作者： Assimakis, Nicholas Adam, Maria Koziri, Maria Voliotis, Stamatis Department of Electronics Technological Educational Institute of Lamia Lamia Greece Dept. of Computer Science and Biomedical Informatics University of Central Greece Lamia Greece Dept. of Computer and Communication Engineering University of Thessaly Volos Greece Department of Electrical Engineering Technological Educational Institute of Chalkida Psahna Greece

ISBN: (纸本)9781424445301

A method to implement the optimal distributed Kalman and Lainiotis filters is proposed. The method is based on the a-priori determination of the optimal uniform distribution of the measurements into parallel processors, in the sense of minimizing the computation time. The resulting optimal Kalman and Lainiotis filters present high parallelism speedup. This result is very important due to the fact that, in most real-time applications, it is essential to obtain the estimate in the shortest possible time. ©2009 IEEE.

关键词： Kalman filters

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Riccati equation solution method for the computation of the extreme solutions of X + A* X-1 A = Q and X - A* X-1 A = Q

Riccati equation solution method for the computation of the ...

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2009 16th International Conference on Systems, Signals and Image Processing, IWSSIP 2009

作者： Adam, Maria Sanida, Francesca Assimakis, Nicholas Voliotis, Stamatis Dept. of Computer Science and Biomedical Informatics University of Central Greece Lamia Greece Department of Electronics Technological Educational Institute of Lamia Lamia Greece Department of Electrical Engineering Technological Educational Institute of Chalkida Psahna Greece

Algebraic and recursive methods for computing the extreme solutions of the matrix equations X + A* X-1 A = Q and X - A* X -1 A = Q are presented in this paper. The proposed algorithms are based on the solution of the ... 详细信息

ISBN: (纸本)9781424445301

关键词： Riccati equations

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Search for Diphoton Events with Large Missing Transverse Energy in 7 TeV Proton-Proton Collisions with the ATLAS Detector

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Physical Review Letters 2011年第12期106卷 121803-121803页

作者： G. Aad B. Abbott J. Abdallah A. A. Abdelalim A. Abdesselam O. Abdinov B. Abi M. Abolins H. Abramowicz H. Abreu E. Acerbi B. S. Acharya M. Ackers D. L. Adams T. N. Addy J. Adelman M. Aderholz S. Adomeit P. Adragna T. Adye S. Aefsky J. A. Aguilar-Saavedra M. Aharrouche S. P. Ahlen F. Ahles A. Ahmad M. Ahsan G. Aielli T. Akdogan T. P. A. Åkesson G. Akimoto A. V. Akimov M. S. Alam M. A. Alam S. Albrand M. Aleksa I. N. Aleksandrov M. Aleppo F. Alessandria C. Alexa G. Alexander G. Alexandre T. Alexopoulos M. Alhroob M. Aliev G. Alimonti J. Alison M. Aliyev P. P. Allport S. E. Allwood-Spiers J. Almond A. Aloisio R. Alon A. Alonso J. Alonso M. G. Alviggi K. Amako P. Amaral C. Amelung V. V. Ammosov A. Amorim G. Amorós N. Amram C. Anastopoulos T. Andeen C. F. Anders K. J. Anderson A. Andreazza V. Andrei M-L. Andrieux X. S. Anduaga A. Angerami F. Anghinolfi N. Anjos A. Annovi A. Antonaki M. Antonelli S. Antonelli J. Antos F. Anulli S. Aoun L. Aperio Bella R. Apolle G. Arabidze I. Aracena Y. Arai A. T. H. Arce J. P. Archambault S. Arfaoui J-F. Arguin E. Arik M. Arik A. J. Armbruster K. E. Arms S. R. Armstrong O. Arnaez C. Arnault A. Artamonov G. Artoni D. Arutinov S. Asai R. Asfandiyarov S. Ask B. Åsman L. Asquith K. Assamagan A. Astbury A. Astvatsatourov G. Atoian B. Aubert B. Auerbach E. Auge K. Augsten M. Aurousseau N. Austin R. Avramidou D. Axen C. Ay G. Azuelos Y. Azuma M. A. Baak G. Baccaglioni C. Bacci A. M. Bach H. Bachacou K. Bachas G. Bachy M. Backes E. Badescu P. Bagnaia S. Bahinipati Y. Bai D. C. Bailey T. Bain J. T. Baines O. K. Baker S. Baker F. Baltasar Dos Santos Pedrosa E. Banas P. Banerjee Sw. Banerjee D. Banfi A. Bangert V. Bansal H. S. Bansil L. Barak S. P. Baranov A. Barashkou A. Barbaro Galtieri T. Barber E. L. Barberio D. Barberis M. Barbero D. Y. Bardin T. Barillari M. Barisonzi T. Barklow N. Barlow B. M. Barnett R. M. Barnett A. Baroncelli A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa P. Barrillon R. Bartoldus A. E. Barton D. Bartsch R. L. Bates L. Batkova J. R. Batley A. Battaglia M. Battist Albert-Ludwigs-Universität Fakultät für Mathematik und Physik Hermann-Herder Str. 3 D - 79104 Freiburg i.Br. Germany University of Oklahoma Homer L. Dodge Department of Physics and Astronomy 440 West Brooks Room 100 Norman Oklahoma 73019-0225 USA Institut de Física d’Altes Energies IFAE Edifici Cn Universitat Autònoma de Barcelona ES - 08193 Bellaterra (Barcelona) Spain Université de Genève Section de Physique 24 rue Ernest Ansermet CH - 1211 Geneve 4 Switzerland Oxford University Department of Physics Denys Wilkinson Building Keble Road Oxford OX1 3RH United Kingdom Institute of Physics Azerbaijan Academy of Sciences H. Javid Avenue 33 AZ 143 Baku Azerbaijan Oklahoma State University Department of Physics 145 Physical Sciences Building Stillwater Oklahoma 74078-3072 USA Michigan State University Department of Physics and Astronomy High Energy Physics Group East Lansing Michigan 48824-2320 USA Tel Aviv University Raymond and Beverly Sackler School of Physics and Astronomy Ramat Aviv IL - Tel Aviv 69978 Israel LAL Université Paris-Sud IN2P3/CNRS Orsay France INFN Sezione di Milano Milano Italy Università di Milano Dipartimento di Fisica via Celoria 16 IT - 20133 Milano Italy INFN Gruppo Collegato di Udine Udine Italy ICTP Strada Costiera 11 IT-34014 Trieste Italy University of Bonn Physikalisches Institut Nussallee 12 D - 53115 Bonn Germany Brookhaven National Laboratory Physics Department Building 510A Upton New York 11973 USA Hampton University Department of Physics Hampton Virginia 23668 USA Yale University Department of Physics PO Box 208121 New Haven Connecticut 06520-8121 USA Max-Planck-Institut für Physik (Werner-Heisenberg-Institut) Föhringer Ring 6 80805 München Germany Ludwig-Maximilians-Universität München Fakultät für Physik Am Coulombwall 1 DE - 85748 Garching Germany Queen Mary University of London Department of Physics Mile End Road London E1 4NS United Kingdom Rutherford Appleton Laboratory Science and Technolo

A search for diphoton events with large missing transverse energy is presented. The data were collected with the ATLAS detector in proton-proton collisions at s=7 TeV at the CERN Large Hadron Collider and correspond to an integrated luminosity of 3.1 pb−1. No excess of such events is observed above the standard model background prediction. In the context of a specific model with one universal extra dimension with compactification radius R and gravity-induced decays, values of 1/R<729 GeV are excluded at 95% C. L., providing the most sensitive limit on this model to date.

关键词： Tellurium compounds

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Influence of the wavelet family in the compression-denoising technique on synthetic and natural images

Influence of the wavelet family in the compression-denoising...

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2009 16th International Conference on Systems, Signals and Image Processing, IWSSIP 2009

作者： Conci, Aura Kubrusly, Carlos S. Rauber, Thomas W. Computer Science Dept. Univ. Federal Fluminense Niterói RJ Brazil Electrical Engineering Department Catholic University of Rio de Janeiro Rio de Janeiro RJ Brazil Dept. of Informatics Univ. Federal do Espírito Santo Vitória ES Brazil

ISBN: (纸本)9781424445301

A denoising procedure based on a thresholding function has been integrated into the JPEG2000 part II standard which is designed to support a wide variety of applications, including the compression and transmission of medical images. This standard is based on the discrete wavelet transform using the Daubechies(9,7) biorthogonal wavelet, also named the Cohen-Daubechies-Feauveau 9/7 wavelet. However, is this the best choice concerning quality at any time? In this work we compared the results from 36 different variations of wavelets compression schemes to explore their difference related to image content and quality. Two groups of well known images of different levels of complexities and content are used to evaluate the relation among fidelity, image content and noise level. The first group is formed by natural images and the second group is formed by synthetic images. They are considered on two different resolutions (128x128 and 256x256) and with high level of Additive White Gaussian Noise. The performance of each approach is evaluated by means of fidelity, comparing the originals without noise versus the same images after compression/denoising and decompression. The goal is to define which combination present the best and the worst results considering the final visual quality. ©2009 IEEE.

关键词： Discrete wavelet transforms

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Measurement of the inclusive isolated prompt photon cross section in pp collisions at s=7 TeV with the ATLAS detector

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Physical Review D 2011年第5期83卷 052005-052005页

作者： G. Aad B. Abbott J. Abdallah A. A. Abdelalim A. Abdesselam O. Abdinov B. Abi M. Abolins H. Abramowicz H. Abreu E. Acerbi B. S. Acharya M. Ackers D. L. Adams T. N. Addy J. Adelman M. Aderholz S. Adomeit P. Adragna T. Adye S. Aefsky J. A. Aguilar-Saavedra M. Aharrouche S. P. Ahlen F. Ahles A. Ahmad M. Ahsan G. Aielli T. Akdogan T. P. A. Åkesson G. Akimoto A. V. Akimov M. S. Alam M. A. Alam S. Albrand M. Aleksa I. N. Aleksandrov M. Aleppo F. Alessandria C. Alexa G. Alexander G. Alexandre T. Alexopoulos M. Alhroob M. Aliev G. Alimonti J. Alison M. Aliyev P. P. Allport S. E. Allwood-Spiers J. Almond A. Aloisio R. Alon A. Alonso J. Alonso M. G. Alviggi K. Amako P. Amaral C. Amelung V. V. Ammosov A. Amorim G. Amorós N. Amram C. Anastopoulos N. Andari T. Andeen C. F. Anders K. J. Anderson A. Andreazza V. Andrei M-L. Andrieux X. S. Anduaga A. Angerami F. Anghinolfi N. Anjos A. Annovi A. Antonaki M. Antonelli S. Antonelli J. Antos F. Anulli S. Aoun L. Aperio Bella R. Apolle G. Arabidze I. Aracena Y. Arai A. T. H. Arce J. P. Archambault S. Arfaoui J-F. Arguin E. Arik M. Arik A. J. Armbruster K. E. Arms S. R. Armstrong O. Arnaez C. Arnault A. Artamonov G. Artoni D. Arutinov S. Asai R. Asfandiyarov S. Ask B. Åsman L. Asquith K. Assamagan A. Astbury A. Astvatsatourov G. Atoian B. Aubert B. Auerbach E. Auge K. Augsten M. Aurousseau N. Austin R. Avramidou D. Axen C. Ay G. Azuelos Y. Azuma M. A. Baak G. Baccaglioni C. Bacci A. M. Bach H. Bachacou K. Bachas G. Bachy M. Backes E. Badescu P. Bagnaia S. Bahinipati Y. Bai D. C. Bailey T. Bain J. T. Baines O. K. Baker S. Baker F. Baltasar Dos Santos Pedrosa E. Banas P. Banerjee Sw. Banerjee D. Banfi A. Bangert V. Bansal H. S. Bansil L. Barak S. P. Baranov A. Barashkou A. Barbaro Galtieri T. Barber E. L. Barberio D. Barberis M. Barbero D. Y. Bardin T. Barillari M. Barisonzi T. Barklow N. Barlow B. M. Barnett R. M. Barnett A. Baroncelli A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa P. Barrillon R. Bartoldus A. E. Barton D. Bartsch R. L. Bates L. Batkova J. R. Batley A. Battaglia Albert-Ludwigs-Universität Fakultät für Mathematik und Physik Hermann-Herder Str. 3 D - 79104 Freiburg i.Br. Germany University of Oklahoma Homer L. Dodge Department of Physics and Astronomy 440 West Brooks Room 100 Norman Oklahoma 73019-0225 USA Institut de Física d’Altes Energies IFAE Edifici Cn Universitat Autònoma de Barcelona ES - 08193 Bellaterra (Barcelona) Spain Université de Genève Section de Physique 24 rue Ernest Ansermet CH - 1211 Geneve 4 Switzerland Oxford University Department of Physics Denys Wilkinson Building Keble Road Oxford OX1 3RH United Kingdom Institute of Physics Azerbaijan Academy of Sciences H. Javid Avenue 33 AZ 143 Baku Azerbaijan Oklahoma State University Department of Physics 145 Physical Sciences Building Stillwater Oklahoma 74078-3072 USA Michigan State University Department of Physics and Astronomy High Energy Physics Group East Lansing Michigan 48824-2320 USA Tel Aviv University Raymond and Beverly Sackler School of Physics and Astronomy Ramat Aviv IL - Tel Aviv 69978 Israel LAL Univ. Paris-Sud IN2P3/CNRS Orsay France INFN Sezione di Milano via Celoria 16 IT - 20133 Milano Italy Università di Milano Dipartimento di Fisica via Celoria 16 IT - 20133 Milano Italy INFN Gruppo Collegato di Udine Strada Costiera 11 IT-34014 Trieste Italy ICTP Strada Costiera 11 IT-34014 Trieste Italy University of Bonn Physikalisches Institut Nussallee 12 D - 53115 Bonn Germany Brookhaven National Laboratory Physics Department Building 510A Upton New York 11973 USA Hampton University Department of Physics Hampton Virginia 23668 USA Yale University Department of Physics PO Box 208121 New Haven Connecticut 06520-8121 USA Max-Planck-Institut für Physik (Werner-Heisenberg-Institut) Föhringer Ring 6 80805 München Germany Ludwig-Maximilians-Universität München Fakultät für Physik Am Coulombwall 1 DE - 85748 Garching Germany Queen Mary University of London Department of Physics Mile End Road London E1 4NS United Kingdo

A measurement of the cross section for the inclusive production of isolated prompt photons in pp collisions at a center-of-mass energy s=7 TeV is presented. The measurement covers the pseudorapidity ranges |ηγ|<1.37 and 1.52≤|ηγ|<1.81 in the transverse energy range 15≤ETγ<100 GeV. The results are based on an integrated luminosity of 880 nb−1, collected with the ATLAS detector at the Large Hadron Collider. Photon candidates are identified by combining information from the calorimeters and from the inner tracker. Residual background in the selected sample is estimated from data based on the observed distribution of the transverse isolation energy in a narrow cone around the photon candidate. The results are compared to predictions from next-to-leading-order perturbative QCD calculations.

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