Lateral distribution of Cherenkov light in extensive air showers at high mountain altitude

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Light-Front QCD

Light-Front QCD
SLAC–PUB–10871 November 2004
arXiv:hep-ph/0412101v1 7 Dec 2004
Light-Front QCD

Stanley J. Brodsky Stanford Linear Accelerator Center Stanford University, Stanford, California 94309 E-mail: sjbth@

Work supported by Department of Energy contract DE–AC02–76SF00515.
Abstract
In these lectures, I survey a number of applications of light-front methods to hadron and nuclear physics phenomenology and dynamics, including light-front statistical physics. Light-front Fock-state wavefunctions provide a frame-independent representation of hadrons in terms of their fundamental quark and gluon degrees of freedom. Nonperturbative methods for computing LFWFs in QCD are discussed, including string/gauge duality which predicts the power-law fall-off at high momentum transfer of light-front Fock-state hadronic wavefunctions with an arbitrary number of constituents and orbital angular momentum. The AdS/CFT correspondence has important implications for hadron phenomenology in the conformal limit, including an all-orders derivation of counting rules for exclusive processes. One can also compute the hadronic spectrum of near-conformal QCD assuming a truncated AdS/CFT space. Given the LFWFs, one can compute form factors, heavy hadron decay amplitudes, hadron distribution amplitudes, and the generalized parton distributions underlying deeply virtual Compton scattering. The quantum fluctuations represented by the light-front Fock expansion leads to novel QCD phenomena such as color transparency, intrinsic heavy quark distributions, diffractive dissociation, and hidden-color components of nuclear wavefunctions. A new test of hidden color in deuteron photodisintegration is proposed. The origin of leading-twist phenomena such as the diffractive component of deep inelastic scattering, single-spin asymmetries, nuclear shadowing and antishadowing is also discussed; these phenomena cannot be described by lightfront wavefunctions of the target computed in isolation. Part of the anomalous NuTeV results for the weak mixing angle θW could be due to the non-universality of nuclear antishadowing for charged and neutral currents.

背外侧核

背外侧核

Laterodorsal Nucleus of the Thalamus: A Processor of Somatosensory InputsTATIANA BEZDUDNAYA AND ASAF KELLER*Program in Neuroscience and Department of Anatomy&Neurobiology,University of Maryland School of Medicine,Baltimore,Maryland21201ABSTRACTThe laterodorsal(LD)nucleus of the thalamus has been considered a“higher order”nucleus that provides inputs to limbic cortical areas.Although its functions are largely unknown,it is often considered to be involved in spatial learning and memory.Here we provide evidence that LD is part of a hitherto unknown pathway for processing somatosen-sory information.Juxtacellular and extracellular recordings from LD neurons reveal that they respond to vibrissa stimulation with short latency(medianϭ7ms)and large magnitude responses(medianϭ1.2spikes/stimulus).Most neurons(62%)had large receptivefields, responding to six and more individual vibrissae.Electrical stimulation of the trigeminal nucleus interpolaris(SpVi)evoked short latency responses(medianϭ3.8ms)in vibrissa-responsive LD beling produced by anterograde and retrograde neuroanatomical tracers confirmed that LD neurons receive direct inputs from SpVi.Electrophysiological and neuroanatomical analyses revealed also that LD projects upon the cingulate and retrosple-nial cortex,but has only sparse projections to the barrel cortex.Thesefindings suggest that LD is part of a novel processing stream involved in spatial orientation and learning related to somatosensory p.Neurol.507:1979–1989,2008.©2008Wiley-Liss,Inc. Indexing terms:vibrissae;trigeminal;barrel cortex;limbic cortex;spatial orientation;ratSensory information in any given modality is processed along multiple parallel streams.For example,at each level of the somatosensory system there are several groups of spatially segregated neurons that share physio-logical and anatomical properties and that relay informa-tion upstream to similarly segregated neuronal popula-tions(see Dykes,1983).Parallel processing of somatosensory information has been studied extensively in the rodent trigeminal vibrissae-to-cortex system,where the anatomical correlates of neuronal groupings are most evident(reviewed by Woolsey,1996).Here,stimuli are transduced by mechanoreceptors associated with the vibrissae and relayed along trigemino-tectal and trigemino-thalamic pathways(Cohen and Castro-Alamancos,2007;Hemelt and Keller,2007).Most studies have focused on the trigemino-thalamic pathway and its role in relaying vibrissal inputs to the neocortex.Three parallel trigemino-thalamic pathways have been identified(reviewed by Pierret et al.,2000; Deschenes et al.,2005;Yu et al.,2006):1)A lemniscal pathway that arises from the principal trigeminal nucleus (PrV)and relays information through the ventroposterior medial(VPM)thalamic nucleus to the primary somato-sensory cortex(SI,barrel cortex);2)A paralemniscal path-way from the trigeminal nucleus interpolaris(SpVi),through the posterior medial thalamic nucleus(POm)to various cortical areas including SI;3)An extralemniscal pathway from SpVi through the ventrolateral segment of VPM(VPMvl)to SII and to the dysgranular zone of the barrel cortex.Although these pathways are not strictly parallel—there exist interactions among their compo-nents(e.g.,Timofeeva et al.,2005)—accumulating evi-dence suggests that each of these pathways is involved in unique aspects of sensorimotor processing(Derdikman et al.,2006;Yu et al.,2006).In the course of studying response properties of VPM and POm neurons,we fortuitously discovered a fourth trigemino-thalamic pathway.This pathway originates pri-marily from SpVi and processes vibrissae-related informa-Grant sponsor:Public Health Service/National Institute of Neurological Disorders and Stroke(PHS:NINDS);Grant numbers:NS-051799and NS-35360.*Correspondence to:Dr.Asaf Keller,Department of Anatomy&Neuro-biology,University of Maryland School of Medicine,20Penn St.,Balti-more,MD.E-mail:akeller@Received21November2007;Revised21December2007;Accepted10 January2008DOI10.1002/cne.21664Published online in Wiley InterScience().THE JOURNAL OF COMPARATIVE NEUROLOGY507:1979–1989(2008)©2008WILEY-LISS,INC.tion through the laterodorsal nucleus of the thalamus (LD).Because LD neurons project preferentially to limbic cortical areas and to the posterior parietal cortex(Jones and Leavitt,1974;Robertson,1977;Spiro et al.,1980; Robertson and Kaitz,1981;Sripanidkulchai and Wyss, 1986;Thompson and Robertson,1987a;Schmahmann and Pandya,1990;van Groen and Wyss,1992;Reep et al., 1994;Shibata,2000),we propose that this LD pathway may be involved in spatial orientation and learning in-volving vibrissae information.MATERIALS AND METHODSSurgical proceduresExperiments were conducted using24female Sprague–Dawley rats weighing220–280g.Urethane anesthesia (1.5g/kg)was used and the animals were maintained at stages III/3-4(Friedberg et al.,1999)by monitoring electro-corticograms and by testing reflexes to pinch and cornea stimulation.Supplemental doses of urethane(0.15 g/kg)were given if necessary.Body temperature was maintained at37°C with a servo-controlled heating blan-ket.All procedures strictly adhered to institutional and federal guidelines.Juxtacellular recording and labelingTo reliably identify the location of recorded units,some of the vibrissa responsive neurons were recorded and la-beled juxtacellularly with biocytin(Pinault,1996).Briefly, a glass micropipette(tip diameter2␮m,impedance15–25 M⍀)wasfilled with2%biocytin(Invitrogen,Eugene,OR) in artificial cerebrospinalfluid and was connected to an intracellular amplifier(Neuro Data IR183A,Cygnus Tech-nology,Delaware Water Gap,PA).The micropipette was advanced slowly to depth of4–4.5mm from the pial sur-face,while stimulating the vibrissae(see below).When a responsive unit was identified,positive current pulses of 1–10nA,200ms,were applied through the amplifier’s bridge circuit,while slowly advancing the pipette until a “loose seal”configuration was obtained.The neuron’s re-sponses to vibrissa stimuli were then recorded.After re-cording,positive current pulses(1–10nA,200ms,2Hz) producing modulation in the neuron’sfiring rate were delivered for10–30minutes to obtain reliable labeling.At least2hours later the animal was deeply anesthetized with pentobarbital(60mg/kg)and perfused with0.1M phosphate buffer(PB,pH7.4)followed by4%buffered paraformaldehyde and0.5%of glutaraldehyde.Thefixed brains were sectioned at60␮m in the coronal plane and standard procedures were performed to visualize the biocytin-filled neurons(Gottlieb and Keller,1997).Extracellular recordings Extracellular recordings of single unit action potentials were made using quartz-insulated platinum-tungsten electrodes(filament stock diameter80␮m).Recording electrodes had impedance between2–4M⍀.Spike data from each neuron were acquired using the Plexon(Dallas, TX)data acquisition system and sampled at40kHz.At the end of each experiment,electrolytic lesions(5–10␮A,20seconds)were made to confirm the recording sites. Then animals were deeply anesthetized with sodium pen-tobarbital(60mg/kg)and perfused with0.1M PB followed by4%buffered(pH7.4)paraformaldehyde.Thefixed brains were sectioned at80␮m in the coronal plane and recording sites were identified in Nissl-stained sections.Vibrissa stimulationWe used three different methods for vibrissa stimula-tion.All recorded LD neurons were tested for responses to vibrissae displacements with air-puffs delivered with Pi-cospritzer(General Valve,Fairfield,NJ)through a plastic tube(0.5mm diameter)with a pressure of60psi.The frequency of stimulation was0.5Hz and stimulus dura-tion was50ms.Several vibrissae were deflected simulta-neously with this approach and the position of the tube was adjusted for each cell to elicit the shortest latency and largest magnitude response.We regularly calibrated the stimulator and determined the time lag between the trig-ger and the arrival of the air-puff at the vibrissae.Re-sponse latencies were corrected for this delay.A home-made speaker-based stimulator was used for single vibrissa deflections(as described by Miasnikov and Dykes,2000).An individual vibrissa was inserted into a glass micropipette(1mm diameter)that was attached to the membrane of a miniature speaker.Application of cur-rent pulses to the speaker membrane deflected the mi-cropipetteϷ0.5mm in the anterior–posterior direction. Stimulation frequency was0.5Hz and stimulus duration was50ms.To determine the receptivefield size of individual LD neurons manual stimulation of individual vibrissae was performed with cotton swabs.Electrical stimulationTo study interactions between LD and the trigeminal nucleus interpolaris(SpVi)or the somatosensory(barrel) cortex(SI)we used electrical microstimulation.Placement of stimulating electrodes was guided by recordings of mul-tiunit responses to manual stimulation of the vibrissae. Cortical stimulating electrodes were targeted to layers IV/V of the barrel cortex.SpVi was stimulated with a monopolar tungsten electrode(tip size10–15␮m;0.1M⍀) and SI was stimulated with a bipolar tungsten electrode (tip size10–15␮m;tip separation0.5-1mm;0.1M⍀). Stimuli were delivered through a constant-current stimu-lus isolator(PSIU6,Grass Technologies,Warwick,RI) driven by a pulse generator(S88Stimulator,Grass Tech-nologies),and consisted of200-␮s long pulses at0.03–1 mA.At the end of each experiment we made electrolytic lesions(10␮A,20seconds)to mark the stimulation sites.Data analysisRecorded units were sorted offline with Plexon’s Offline Sorter.Time stamps from each well-isolated unit were exported to Matlab(MathWorks,Natick,MA)and ana-lyzed with custom-written routines.Peristimulus time histograms(PSTHs)were plotted with a1-ms bin size for responses to vibrissa stimulation and0.5-ms bin size for responses to electrical stimulation.Onset latency was de-fined as thefirst two consecutive bins of stimulus-evoked spikes that significantly exceeded(99%confidence inter-val)spontaneous activity(100-ms period preceding the stimuli).Response offset was defined as three consecutive bins that did not significantly exceed spontaneous activ-ity.Magnitudes of responses were calculated as number of spikes during significant response duration.Data are pre-sented as median,meanϮstandard deviation,and range.The Journal of Comparative Neurology1980T.BEZDUDNAYA AND A.KELLERAnterograde and retrograde tracing Experiments were conducted using female Sprague–Dawley rats weighing220–280g.All survival surgery was performed under sterile conditions and under ketamine (100mg/kg)and xylazine(8mg/kg)anesthesia,maintain-ing body temperature at37°C using a thermostatically regulated heating pad.We placed the rats in a stereotaxic device and created a craniotomy over the barrel cortex,the LD nucleus,or SpVi.Tracer injections were guided by stereological coordinates and by recording multiunit re-sponses to vibrissae stimuli.We anterogradely labeled efferents from SpVi with Phaseolus vulgaris leucoaggluti-nin(PHA-L;3.5%in PB;Vector Laboratories,Burlingame, CA)ejected through a glass pipette(50␮m tip diameter) by applying positive current pulses(7␮A,7seconds on/off, 40minutes)supplied by a constant current stimulus iso-lator(Grass Product Group).We retrogradely labeled af-ferents to LD,and,in separate experiments,afferents to SI barrel cortex with FluoroGold(2%in water,Fluoro-chrome,Denver,CO)ejected through a glass pipette(20␮m tip diameter)connected to a0.5␮L Hamilton syringe (Hamilton,Reno,NV).Injection volumes were40–60␮L for LD,and100–200␮L for barrel cortex.After a1-week postsurgery survival period the animals were deeply anesthetized and perfused with aldehydes,as described above.We cut coronal sections(50␮m thick) and processed them for immunocytochemistry with anti-bodies to PHA-L(1:5,000,Vector Labs)or FluoroGold(1: 50,000,Fluorochrome)using the ABC-DAB procedure,as in our previous studies(Keller et al.,1985).We then mounted the sections on gelatin-coated slides and coun-terstained them with Neutral Red.The slides were then dehydrated,defatted,and coverslipped.Digital images were obtained with a Microfire charge coupled device(Optronics,Goleta,CA)mounted on an Olympus(Japan)BX50microscope.Images were stores and processed on a Macintosh computer using Photoshop (San Jose,CA).Image manipulations were restricted to resizing,cropping,and linear adjustments.RESULTSResponse properties of LD neuronsWe recorded from36well-isolated single units that re-sponded to vibrissa stimulation.The borders of the LD are readily identified in Nissl-stained sections(Fig.1).It lies ventral to the hippocampus and itsfimbria and immedi-ately dorsal to the ventroposterior and posteromedial tha-lamic nuclei.Whereas the core of LD contains a high density of relatively small cells,its ventral and ventrome-dial borders are ringed by a cell-sparse zone,demarcating its border with adjacent thalamic nuclei(arrowheads in Fig.1A).We confirmed that all cells were in LD by juxtacellular labeling with biocytin or by producing electrolytic lesions (see Materials and Methods).We excluded from analysis recordings from sites in or immediately adjacent to other thalamic nuclei.Figure1B illustrates the locations of all recorded cells.They were dispersed throughout the LD nucleus,including its medial and lateral parts.However, we found that vibrissa responsive cells were preferentially arranged in100–300␮m long clusters along the axis of penetration.Examples of juxtacellularly labeled neurons are depicted in Figure3B,and an example of a lesion site is shown in Figure2A.We tested the responses of LD neurons to vibrissae stimulation with the use of air puffs to displace multiple vibrissae.We also tested responses to displacements of individual vibrissae with the use of a speaker-based stim-ulator(see Materials and Methods).Typical responses of a LD neuron are shown in Figure2.When we stimulated multiple vibrissae this cell had a robust(2.7Ϯ0.9spikes/ stimulus)and short latency response(7ms;Fig.2B).This cell responded robustly also to stimulation of six individ-ual vibrissae(Fig.2C).Responses ranged in magnitude from 1.6Ϯ 1.2spikes/stimulus to0.6Ϯ0.7spikes/ stimulus.Analyses of responses to individual vibrissae show that the magnitude of responses to vibrissa A1,A2, and A3were statistically indistinguishable,but signifi-cantly larger than responses to the other vibrissae tested (ANOVA followed by Newman-Keuls post hoc test,PϽ0.05).Response latencies to all vibrissae were similar(5–6 ms),except for responses to A4(8ms)that also evoked responses with the lowest response magnitude.Thus,this LD neuron does not have a distinguishable principal whis-ker,like that of neurons in other stations of the vibrissa-to-cortex pathway(Simons,1985).We performed similar analyses of responses from four LD neurons:two of them were similar to the neuron described above in that they had no distinguishable principal whisker.The remaining two responded preferentially to a single vibrissa.We tested receptivefield size by manually deflecting individual vibrissae(see Materials and Methods).Of the 21cells tested this way,13neurons responded to six or more vibrissae,two responded to one or two vibrissae,and the remaining six cells did not respond to single vibrissa deflections,preferring multi-whisker stimulation. Among all recorded neurons,onset latency to vibrissae stimulation ranged from5–58ms,with a median of7ms (meanϭ12.7Ϯ13.7;Fig.3A).Responses were often robust,ranging in magnitude from0.3–3.69spikes/ stimulus(medianϭ1.2;meanϭ1.4Ϯ0.9).Response duration ranged from12–61ms(medianϭ26;meanϭ31.4Ϯ14.5).Thus,most neurons responded to at least the first half of the50ms stimulus.Most vibrissa-responsive LD neurons(81%;29/36)were spontaneously active.Spontaneous activity rates ranged from0–6.2Hz(medianϭ0.8;meanϭ1.3Ϯ1.5).The heterogeneity of responses is depicted in Figure3B, which shows examples of three LD neurons that were juxtacellularly labeled.Cell B1had short latency(6ms) responses to vibrissae stimulation,and a large receptive field encompassing mystacial vibrissae A1,A2,A3,B1,B2 and two supraorbital vibrissae.Cell B2also had short latency responses(6ms),but a small receptivefield,con-sisting only of two vibrissae.Cell B3displayed low-magnitude and long-latency responses(24ms),and re-sponded only to co-activation of multiple vibrissae.We found no correlation between the location,morphology,or functional properties of the recorded neurons,suggesting a continuum in the properties of neurons throughout the nucleus.Inputs from SpVi trigeminal nucleusThe short latency responses to vibrissa stimulation sug-gest that LD neurons might receive direct inputs from the trigeminal nuclei,the target of vibrissa primary afferents (Arvidsson,1982).To test this hypothesis we injected,inThe Journal of Comparative Neurology1981 LD NUCLEUS AND SOMATOSENSATIONFig.1.A:Photomicrograph of a Nissl-stained coronal section(AP level2.56mm)depicting the relationship between the laterodorsal (LD)thalamic nucleus and the adjacent posteromedial(POm)and ventroposterior lateral(VPL)thalamic nuclei.Arrowheads demarcate the cell-sparse region outlining the borders between LD and adjacent thalamic nuclei.B:Anatomical location of all recorded cells,indicated by white circles.LD is shaded for emphasis.Anatomical borders for VPM(ventroposterior medial),POm,VA(ventroanterior),VL(ventro-lateral),and VPL thalamic nuclei are shown.Line drawings adapted from Paxinos and Watson(1988).The Journal of Comparative Neurology1982T.BEZDUDNAYA AND A.KELLERtwo animals,a retrograde tracer (FluoroGold)into LD to label LD-projecting neurons in the brainstem nuclei.Ret-rogradely labeled cells were found mostly in the trigemi-nal nucleus interpolaris SpVi (Fig.4A),suggesting that SpVi provides direct vibrissa-related inputs to LD neu-rons.There were also a small number of labeled cells in the trigeminal nucleus principalis (PrV)and nucleus ora-lis (SpVo).In addition,we found labeled cells in the medial vestibular nucleus and in the spinal vestibular nucleus,in agreement with previous reports (Doi et al.,1997).To confirm that SpVi innervates LD neurons,we injected an anterograde tracer (PHA-L)in SpVi.As depicted in Figure 4B,PHA-L-labeled axons were found in the ventral part of LD,where they formed large en passant and terminal boutons,whose morphologies resembled those of “driver afferents”described in other thalamic nuclei (Sherman and Guillery,1998;Guillery et al.,2001).As reported previ-ously (Peschanski et al.,1984;Chiaia et al.,1991),we also found labeled SpVi axons and terminals in VPM and POm.To determine if these anatomical relationships might account for the short latency responses in LD,we recorded responses of vibrissa-responsive LD neurons to electrical stimulation of SpVi.Figure 4C shows responses recorded from a representative LD neuron.This cell responded to vibrissae stimulation with a latency of 6ms (Fig.4C1),and to electrical stimulation of SpVi with a latency of 3.5ms (Fig.4C2).We recorded similar responses to SpVi stimulation in each of eight LD neurons tested.Their response onset latencies ranged from 2.0–14.5ms (Fig.4D),with a median of 3.8ms (mean ϭ5.3Ϯ4.0).Thus,both the anatomical and electrophysiological findings are consistent with the hypothesis that LD contains neurons whose responses to vibrissae are mediated by direct in-puts from SpVi.Connections with barrel cortexVibrissa-related information is relayed directly to the vibrissa representation in the somatosensory cortex—the “barrel cortex”(Woolsey and Van der Loos,1970)—from both VPM and POm (Keller et al.,1985;Lu and Lin,1993;Bureau et al.,2006),the previously identified thalamic nuclei that process vibrissa information.To determine if LD neurons also project to the barrel cortex we injected PHA-L in LD in two animals.We found no labeled affer-ents in the barrel cortex,or in the second somatosensory cortex.We did identify dense projections to the cingulate and retrosplenial cortex,consistent with previous reports on targets of LD efferents (Jones and Leavitt,1974;Spiro et al.,1980;Kaitz and Robertson,1981;Robertson and Kaitz,1981;Sripanidkulchai and Wyss,1986;ThompsonFig.2.Typical responses of an LD neuron.A:Nissl-stained coronal section showing an electrolytic lesion (arrow)at a recording site in LD,whose borders are outlined.B:Peristimulus time histogram (PSTH)of responses to multi-vibrissae stimulation.C:PSTHs to displacements of six individual vibris-sae;the identity of the stimulated vibrissa is indicated above each PSTH.The Journal of Comparative Neurology1983LD NUCLEUS AND SOMATOSENSATIONand Robertson,1987a,b;van Groen and Wyss,1990,1992).To confirm this finding we injected the retrograde tracer FluoroGold in barrel cortex in two separate ani-mals.Injection sites were 1ϫ0.6mm in diameter.We found a large number of neurons in both VPM and POm,consistent with the known projections from these nuclei to the barrel cortex (see above).However,we found only very sparse distribution of retrogradely labeled cells in LD.These were preferentially located in the ventral aspect of this nucleus (Fig.5A).We also tested the interactions between LD and the barrel cortex with the use of electrical microstimulation and extracellular recordings.We recorded the responses of 10vibrissa-responsive neurons in LD to electrical stimu-lation of the barrel cortex (see Materials and Methods).In only two of these neurons,we found antidromic responses to barrel cortex stimulation (Fig.5B,D,gray bar).A rep-resentative neuron is shown in Figure 5B,which depicts its responses to vibrissae stimulation (Fig.5B1,latency ϭ5ms),antidromic responses to stimulation of S1(Fig.5B2,Fig.3.Heterogeneity among LD neurons.A:Distribution of onset latencies to multi-vibrissae stimulation for all recorded LD cells (n ϭ36).B:Three examples of juxtacellularly labeled neurons and their responses to vibrissae stimulation.First column (panels labeled ‘a’)shows low-power images of Nissl-stained coronal sections containing biocytin-labeled neurons (black arrowheads).LD borders are indi-cated with white arrowheads.Middle column (panels labeled ‘b’)de-picts the labeled neurons at higher magnification.Right column (pan-els labeled ‘c’)shows PSTHs computed from the response of the labeled cells to vibrissae stimulation.Stimulation of individual vibris-sae evoked large magnitude and short latency responses in cells B1and B2.Receptive field size consisted of seven vibrissae for B1and two vibrissae for B2.Cell B3responded only to simultaneous deflection of multiple vibrissae and its responses were of low magnitude and long latency.The Journal of Comparative Neurology1984T.BEZDUDNAYA AND A.KELLERlatency ϭ1.7ms),and collision test (Fig.5B3,collision interval ϭ3.4ms).Thus,both anatomical and physiolog-ical data suggest that LD projections to barrel cortex are relatively sparse.In contrast to the antidromic responses,stimulation of barrel cortex evoked orthodromic responses in 9of the 10LD neurons tested.A representative example is shown in Figure 5C.This LD neuron had short latency responses to vibrissae stimulation (Fig.5C1,8ms),and robust re-sponses to barrel cortex stimulation,with a latency of 4.5ms (Fig.5C2).As a group,orthodromic responses rangedfrom 4.5–12ms (median ϭ7ms;mean ϭ7.2Ϯ2.3;Fig.5D).The relatively long latency of these responses may suggest that these orthodromic responses are polysynap-tic,reflecting indirect barrel cortex inputs relayed to LD through other cortical and subcortical sites.DISCUSSIONWe demonstrate a hitherto unknown pathway for pro-cessing trigeminal somatosensory information.This path-way originates from the SpVi,projects to the LD,andfromFig. 4.Anatomical and electrophysiological evidence for direct inputs to LD from SpVi.A1:Nissl-stained horizontal section through the brainstem,depicting retrogradely labeled cells in SpVi following FluoroGold injection into LD.Right panel (A2)is a higher magnifica-tion of the image on the left;asterisk serves as a fiduciary point.B1:Nissl-stained coronal section depicting anterogradely labeled axons within LD,VPM,and POm thalamic nuclei,following PHA-L injection into SpVi.In the right panel (B2)a higher-magnification of the image on the left is shown.Arrows point to labeled axons and terminals.C:PSTH of responses of an LD neuron to multi-vibrissae stimulation (C1)and electrical stimulation of SpVi (C2).D:Distribution of laten-cies to electrical stimulation of SpVi.The Journal of Comparative Neurology1985LD NUCLEUS AND SOMATOSENSATIONthere targets primarily limbic cortical areas.The pathway conveys to these cortical areas short latency and robust responses to stimulation of multiple mystacial vibrissae.Thus,LD contains a population of vibrissae-responsive neurons whose anatomical location and physiological properties are distinct from those of neurons in adjacent thalamic nuclei.The discovery of this pathway increases to four the number of somatosensory pathways that relay informa-tion from the vibrissae through the thalamus.The other three pathways are the lemniscal (via the VPM),paralemniscal (via the POm),and the extralemniscal pathway (via the VPMvl)(Pierret et al.,2000;Yu et al.,2006).Trigeminal inputs to LDSeveral lines of evidence support the conclusion that direct inputs from the trigeminal nuclei shape vibrissalresponses of LD neurons.Anterograde and retrograde neuroanatomical tracing demonstrate direct inputs from these nuclei—primarily SpVi—to LD (Fig.4A,B).A small number of neurons in PrV and in SpVo also project to LD.Consistent with these direct projections,the response la-tencies of LD neurons to vibrissal stimulation are rela-tively short (median ϭ7ms;12Ϯ13.7ms).These laten-cies are similar to those of neurons in the superior colliculus,whose responses are also thought to be medi-ated by direct inputs from SpVi (median 6.2ms;6.5Ϯ0.6;Hemelt and Keller,2007).The response latencies of LD neurons are similar also to those of VPM neurons,which receive direct inputs from PrV (Ito,1988:median ϭ7ms;Diamond et al.,1992:mean ϭ7ms;Friedberg et al.,2004:mean ϭ7.33Ϯ0.36ms).Electrical stimulation of SpVi evokes reliable,short la-tency (mean ϭ5.3Ϯ4.0ms),suprathreshold responses in LD neurons (Fig.4C,D).This latency range isconsistentFig.5.Connections with barrel cortex.A1:Confocal microscope image showing sparse distribution of retrogradely labeled cells in LD following FluoroGold injection in SI.Note dense labeling in VPM.Right panel (A2)is a higher magnification of the image on the beled neurons in LD are indicated by arrows.B:PSTHs of re-sponses of an LD neuron to vibrissae stimulation (B1),and electrical stimulation of barrel cortex (B2,3).An antidromic response (arrow,B2)is evoked when SI is stimulated 6.2ms before a spontaneous spikeoccurs.When the collision interval is reduced to 3.4ms the antidromic spike is abolished (B3).C:PSTHs computed from a different LD neuron in response to vibrissae stimulation (C1),and SI stimulation (C2).The variable latency of the response to electrical stimulation suggests that it is evoked orthodromically.D:Distribution of latencies in response to stimulation of SI.Only two cells (gray bar)responded antidromically,as determined by a collision test.The Journal of Comparative Neurology1986T.BEZDUDNAYA AND A.KELLERwith monosynaptic inputs from SpVi to LD,as it overlaps with latencies of monosynaptic responses to electrical stimulation of trigeminal inputs to other thalamic nuclei: POm responses to SpVi stimulation(4.9Ϯ3.1ms;Chiaia et al.,1991),and VPM responses to PrV stimulation(4.1Ϯ2.8ms;Chiaia et al.,1991).Thus,both anatomical and electrophysiological evi-dence are consistent with the hypothesis that LD contains neurons that are driven to spike threshold by direct inputs from the trigeminal nuclei,primarily SpVi.The relatively large variance in the response latency of LD neurons reflects the heterogeneity of their response kinetics(Fig.3).For example,6of36neurons had re-sponse latencies greater than20ms,suggesting that they do not receive direct,driving inputs from SpVi.Three of these six neurons were also distinguished from other LD neurons by their low-magnitude responses(0.34–0.86 spikes/stimulus)and low spontaneous activity(0–0.2Hz, meanϭ0.07Hz).In addition,these neurons did not re-spond to single vibrissa stimulation,but only to multi-vibrissae activation(see Fig.3B3).The vibrissae re-sponses of these neurons may be mediated by inputs from the superior colliculus(Thompson and Robertson,1987a; Kolmac et al.,1998),or from higher-order cortical areas such as the posterior parietal cortex or limbic cortex(Kaitz and Robertson,1981;Yeterian and Pandya,1985;Thomp-son and Robertson,1987a).Previous studies have suggested that LD may receive visual and somatosensory inputs indirectly via the pretec-tal nuclei,the superior colliculus,or the ventral geniculate nucleus(Robertson et al.,1980,1983;Thompson and Rob-ertson,1987b;Kolmac et al.,1998).To our knowledge,this is thefirst description—in any species—of direct trigem-inal or any other somatosensory inputs to LD(Jones, 2007;D.N.Pandya and E.H.Yeterian,mun.).Interactions with the cerebral cortexOur electrophysiological and neuroanatomical data sug-gest that there are relatively sparse direct connections between LD and the barrel cortex(Fig.5;Negyessy et al., 2000).Our data are consistent with previousfindings,in several species,demonstrating that LD has reciprocal con-nections with the limbic cortical areas,including the cin-gulate,retrosplenial,and subicular cortex(Jones and Leavitt,1974;Spiro et al.,1980;Kaitz and Robertson, 1981;Robertson and Kaitz,1981;Sripanidkulchai and Wyss,1986;Thompson and Robertson,1987a;van Groen and Wyss,1990,1992;Shibata,2000).There are also reports that LD interacts with the posterior parietal cor-tex(Robertson,1977;Yeterian and Pandya,1985; Schmahmann and Pandya,1990;Reep et al.,1994).In addition,LD receives inputs from the visual cortex(areas 17and18,Thompson and Robertson,1987a;Negyessy et al.,2000;Shinkai et al.,2005)and the second motor cortex (Shibata and Naito,2005).Electrical stimulation of SI revealed relatively long la-tency orthodromic responses(meanϭ7.2Ϯ2.3ms).These latencies are longer than those recorded in POm(Landis-man and Connors,2007:meanϭ5.6Ϯ3.1ms)or VPM (Landisman and Connors,2007:meanϭ4.0Ϯ1.6ms; Beierlein et al.,2002:meanϭ3.4Ϯ0.9ms)in response to SI stimulation.Since these data were obtained from brain slices of young animals,response latencies in POm and VPm neurons in adult animals are likely even shorter. Thesefindings suggest that the orthodromic responses that we recorded in LD to electrical stimulation of barrel cortex are polysynaptic.They may reflect connections be-tween SI and the retrosplenial cortex,which projects heavily upon LD(see above).Receptivefield structure Heterogeneity also characterizes the receptivefield size of LD neurons.Most LD vibrissa-responsive neurons had large receptivefields,consisting of six or more vibrissae. Thalamic VPMvl neurons,whose response properties are also mediated by inputs from SpVi(Williams et al.,1994; Pierret et al.,2000)also have large receptivefields,con-sisting of7.2Ϯ2.8vibrissae(medianϭ7,H.Bokor and M. Deschenes,mun.).Neurons in the superior col-liculus,which is also innervated by SpVi,have similarly large receptivefields(13.8Ϯ0.1vibrissae;Hemelt and Keller,2007).The receptivefield size of neurons in these three structures is comparable to that of SpVi neurons, which have receptivefields consisting of four or more vibrissae(Woolston et al.,1982;Jacquin et al.,1989; Timofeeva et al.,2004),further supporting the conclusion that the responses of LD neurons are shaped by direct SpVi inputs.In contrast,VPM neurons—innervated primarily by the PrV—typically respond to a smaller number of vibrissae (1.2Ϯ0.5vibrissae:Rhoades et al.,1987;2.9Ϯ0.9vibris-sae:Timofeeva et al.,2005).Two of the LD neurons re-corded here(5.6%)had a small receptivefield of1or2 vibrissae;the responses of these neurons occurred at short latencies(see Fig.3B2).It is possible that the receptive fields of these neurons,like those of their counterparts in VPM,are shaped by inputs from PrV.Finally,a small number of LD neurons(5of36,13.9%) responded only when multiple vibrissae were stimulated (see Fig.3B).Thus,the response properties of these neu-rons resemble those of POm neurons,which rarely re-spond to stimulation of individual vibrissae(Trageser and Keller,2004;Lavallee et al.,2005;Masri et al.,2006).In conclusion,LD appears to contain neurons with het-erogeneous response properties,resembling those found in the three hitherto described vibrissae-related thalamic nuclei:POm,VPM,and VPMvl.LD:Afirst-order or higher-order nucleus? It is generally accepted that thalamic nuclei can be divided into two classes(see Sherman and Guillery,2005). First-order nuclei are concerned with relaying to the cor-tex information from subcortical afferents.Examples in-clude the lateral geniculate nucleus(LGN)in the visual system and the VPM nucleus in the somatosensory sys-tem.Higher-order nuclei are concerned with relaying in-formation from one cortical area to another.In the visual system the pulvinar is thought to be involved in this relay. The somatosensory correlate is represented by POm. First-and higher-order nuclei are defined by both morpho-logical and physiological criteria.Physiologically,first-order nuclei contain neurons whose receptivefield prop-erties are determined by ascending inputs.That is, ascending inputs(e.g.,from the brainstem)drive these cells tofiring threshold.Higher-order nuclei contain neu-rons whose drivers are descending cortical inputs and whose receptivefields are determined by these descending projections.Morphologically,driver afferents—whether cortical or subcortical—are characterized by thick and highly branched(“type II”)axons with large terminalsThe Journal of Comparative Neurology1987 LD NUCLEUS AND SOMATOSENSATION。

泛函分析第一讲

泛函分析第一讲

线性算子和线性泛函
第二章 泛函分析
绪论
2.1 距离空间
第二章 泛函分析
一、距离空间的定义
lim
n
xn
x
0, N, 当 n 时N,有
dx, y x y
x y 0, x y 0当且仅当 x y
xy yx
xy xz zy
xn x
第二章 泛函分析
第一节 距离空间
一、距离空间的定义
第一节 距离空间
一、距离空间的定义
例2.1.2 设 X ,d 是距离空间,对任意 x, y X ,源自定义x,y
d
1+d
x,xy, y ,则
X
,
也是距离空间.
证明 三角不等式 d(x, y) d(x, z) d(z, y),
第二章 泛函分析
第一节 距离空间
一、距离空间的定义
例2.1.3 空间l p p 1.
x0 X. 如果d (xn , x0 ) 0, n , 则称该点列 xn
收敛于 x0 , 并记为
lim
n
xn
x0

xn x0 n
定理1 距离空间 X ,d 中,收敛点列的极限是唯一的.
第二章 泛函分析
第一节 距离空间
二、距离空间中的收敛
例2.1.5 在Rn 中,点列的收敛为按坐标收敛.
♣ 泛函分析在微分方程、概率论、函数论、计算 数学、控制论、最优化理论、连续介质力学、量 子物理等以及一些工程技术学科都有重要作用.
第二章 泛函分析
绪论
二、泛函分析课程内容 1.空间 集合 + 一定的结构
距离空间 赋范线性空间 内积空间 Banach空间 Hilbert空间

ActivityTheory活动理论

ActivityTheory活动理论

多重声音思想
多重声音思想认为各种不同观点的话语都要被融合接纳与利用, 而在传统的课堂中,一切学习活动目标与过程都已经被预先设定, 难以倾听学习者的多重声音,难以考虑学习者的不同差异,无法包 含多种持有不同理解、不同观点的主体与共同体,也就无法相互争 论、协商与融合。活动理论关注的不是知识传递,而是人们参与的 学习活动的过程,所以应该充分给予学生表达自己观点的机会,并 且构建课程学习活动共同体,建立教师之间、师生之间、学生之间 互助的学习共同体,通过沟通学习的模式,分享经验、表达观点, 促进多元声音融合。
理解:在拓展性学习中,学习者所学习的知识时并不是固定的, 先前就已经存在的,而是学习者通过集体活动,一边创造知识一 边学习知识,随后再将习得的知识运用于实践。这与一般意义上 的学习是有较大差别的。一般我们所说的学习的知识是比较固定 的,并且已经被他人证明过是正确且合理的。而拓展性学习主要 是探索“未知领域”,根据自己的实践总结出知识并学习。比如 说,陶行知先生所提出的“生活教育”就提倡拓展性学习。
举例:
在课堂中,老师正在讲解新课,突然有两个学生发生了争执。在 这种情况下,学生的争执就是进入课堂教学这个活动系统的新因素, 打破了原先正常教学的“平衡”,产生了矛盾。这时,活动系统就 因为这个矛盾而发生变化,从先前的讲课活动转化为处理学生争执 的活动。
媒介工具
从活动理论看,工具是学 习者和学习内容的中介,是学 习内容的制品,工具改变学习 活动中知识传递、呈现、处理 等的方式。工具是支持活动开 展的条件,在活动中使用媒介 工具,不仅使学习者获取知识, 也能培养他们的思维方式和价 值观念。如电化教学,慕课等 的推广,不仅帮助学生获取记 忆知识,而且也能使他们意识 到科技在生活中的作用。
拓展性学习

T.W. ANDERSON (1971). The Statistical Analysis of Time Series. Series in Probability and Ma

T.W. ANDERSON (1971). The Statistical Analysis of Time Series. Series in Probability and Ma

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后向散射系数英文

后向散射系数英文

后向散射系数英文English: The backscattering coefficient, also known as the backscatter coefficient or backscatter cross section, refers to the ratio of the power of electromagnetic waves scattered backwards by a target to the power of incident waves on the target. It is a crucial parameter in radar systems and remote sensing applications, as it provides valuable information about the properties of the target being observed. The backscattering coefficient is typically dependent on various factors such as the size, shape, composition, and orientation of the target, as well as the frequency and polarization of the incident waves. Understanding the backscattering coefficient can help researchers and engineers design more efficient radar systems, interpret remote sensing data more accurately, and improve target detection and classification capabilities. Overall, the backscattering coefficient plays a vital role in the field of radar technology and remote sensing, allowing for the analysis and interpretation of scattered signals for a wide range of applications.中文翻译: 后向散射系数,也称为后向散射系数或后向散射截面,指的是目标向后散射的电磁波功率与目标上入射波功率之比。

近红外光谱结合一类支持向量机算法检测鸡蛋的新鲜度


检测 中样本数不平衡的分类问题 。
1 材料 与方法
1 1 试 验 材 料 .
试验选 用鸡 蛋样本 8 个 , 过对扫 描光谱后 的鸡蛋 样 6 通 本进行新鲜度 测 试 ,其 中 7 1个 为新 鲜 蛋 ( 夫单 位值 大 于 哈
学成分对 近红外 区光谱 的吸收特性 而进 行的测定 ,已在多个 领域得 到广泛应用_ ] 3 ,同时也被应 用于鸡 蛋新 鲜度 的快速 “ 无损检 测 。 mp等l 利用 近红外光谱技 术结合偏最 小二乘 Ke 5 (L) P S 定量分析 了鸡蛋新鲜度 , 其相 关性达到 0 8 。Ginh .2 uci 等 l采用近红外光谱结合模式识别的方法定性区分 了不 同存 6 储 时间的鸡蛋 , 识别率为 10 。 0 在以上研究 中, 参与建立模
12 光 谱 数 据 采集 .
型 的新鲜蛋和非新鲜蛋样本均 比较充足 , 两类样本 的数 量 且 基本相 同。 常情况下 ,在 建立模 型中 , 练样本 中新鲜 鸡 通 训
蛋 和 非 新 鲜 鸡 蛋 数 量 往 往 呈 现 不 平 衡 状 态 。在 训 练 样 本 不 平 衡 的 情 况 下 , 量 样 本 对 检 测 模 型可 提 供 的 信 息 很 少 , 统 少 传 的 定 量 或 分 类模 型对 少 量 样 本 的检 测 能 力 较 差 。一 类 支 持 向
试验采 用 A tr nai1 里 叶变 换 近 红 外 光 谱 仪 ( 国 sI傅 美
T emoSi t i公司) h r ce ic nf 扫描鸡蛋近红外 光谱 。扫描波数范 围 为 1 0 ~ 40 0 c 00 0 0 m~ ,扫 描 次 数 为 3 2次 ,采 样 间 隔 为 3 8 6c . 5 m~ , 这样每条光谱共有 15 7 变量。光谱采集 时, 5 个 光纤探 头紧贴着 蛋壳 表面 , 在每个蛋壳表 面不同位置上选 取

希尔伯特曲线 空间索引

希尔伯特曲线空间索引希尔伯特曲线是一种用于空间索引的曲线。

它是由德国数学家David Hilbert在20世纪初提出的,并被广泛应用于计算机科学领域。

希尔伯特曲线具有压缩和空间局部性等优点,适合用于多维空间中的数据索引和查询。

希尔伯特曲线是一条连续的曲线,被用于将多维空间的坐标映射到一维空间中。

这种映射方式使得相邻的数据在一维空间中的位置尽可能接近,从而提高了数据的局部性。

希尔伯特曲线的构建是通过重复应用一种特定的模式来完成的。

具体来说,希尔伯特曲线是通过将二维平面中的点映射到一维空间中的一条曲线上。

在构造过程中,将平面分成四个等分,并按照特定的顺序连接这四个小块,形成一条分形曲线。

然后,再将每个小块按照同样的方式划分,重复上述过程,直到达到所需的精度。

通过这种方式,平面中的点可以被映射到曲线上,并保持它们在曲线中的相对邻近性。

希尔伯特曲线的具体构造方式可以通过迭代算法来实现。

在每一次迭代中,需要将平面分成四个等分,并根据特定的连接顺序将这四个小块连接起来。

通常,这种连接顺序可以由一个二进制编码来表示,其中每一位表示用于连接的小块的位置。

一旦构建完成了希尔伯特曲线,就可以将多维空间中的数据点映射到曲线上。

这种映射方式可以用于索引和查询多维空间中的数据。

例如,在二维空间中,可以将每个数据点的坐标映射到希尔伯特曲线上,并使用曲线上的位置来代表该数据点。

这样,相邻的数据点在曲线上也会相互靠近,从而提高查询效率。

希尔伯特曲线在计算机科学领域有广泛的应用。

一方面,它被用于提高空间数据的存储和查询效率。

例如,在地理信息系统中,可以使用希尔伯特曲线对地理空间数据进行索引,从而快速地查询特定区域内的数据。

另一方面,希尔伯特曲线也可以用于数据压缩和图像处理等领域。

通过将二维空间中的数据点映射到一维空间中,可以减少数据的维度,并提高处理效率。

总而言之,希尔伯特曲线是一种用于空间索引的有效工具。

它能够将多维空间中的数据点映射到一维空间中的曲线上,并保持它们在曲线上的相邻性。

The Mode III Crack Problem

H.G.GeorgiadisMechanics Division, National Technical University of Athens,1Konitsis Street, Zographou GR-15773,Greece e-mail:georgiad@central.ntua.grMem.ASME The Mode III Crack Problem in Microstructured Solids Governed by Dipolar Gradient Elasticity: Static and Dynamic AnalysisThis study aims at determining the elastic stress and displacementfields around a crack in a microstructured body under a remotely applied loading of the antiplane shear(mode III)type.The material microstructure is modeled through the Mindlin-Green-Rivlin dipo-lar gradient theory(or strain-gradient theory of grade two).A simple but yet rigorous version of this generalized continuum theory is taken here by considering an isotropic linear expression of the elastic strain-energy density in antiplane shearing that involves only two material constants(the shear modulus and the so-called gradient coefficient).In particular,the strain-energy density function,besides its dependence upon the standard strain terms,depends also on strain gradients.This expression derives from form II of Mindlin’s theory,a form that is appropriate for a gradient formulation with no couple-stress effects(in this case the strain-energy density function does not contain any rotation gradients).Here,both the formulation of the problem and the solution method are exact and lead to results for the near-tipfield showing significant departure from the predictions of the classical fracture mechanics.In view of these results,it seems that the conventional fracture mechanics is inadequate to analyze crack problems in microstructured materials. Indeed,the present results suggest that the stress distribution ahead of the tip exhibits a local maximum that is bounded.Therefore,this maximum value may serve as a measure of the critical stress level at which further advancement of the crack may occur.Also,in the vicinity of the crack tip,the crack-face displacement closes more smoothly as com-pared to the classical results.The latter can be explained physically since materials with microstructure behave in a more rigid way(having increased stiffness)as compared to materials without microstructure(i.e.,materials governed by classical continuum me-chanics).The new formulation of the crack problem required also new extended defini-tions for the J-integral and the energy release rate.It is shown that these quantities can be determined through the use of distribution(generalized function)theory.The boundary value problem was attacked by both the asymptotic Williams technique and the exact Wiener-Hopf technique.Both static and time-harmonic dynamic analyses are provided.͓DOI:10.1115/1.1574061͔1IntroductionThe present work is concerned with the exact determination of mode III crack-tipfields within the framework of the dipolar gra-dient elasticity͑or strain-gradient elasticity of grade two͒.This theory was introduced by Mindlin͓1͔,Green and Rivlin͓2͔,and Green͓3͔in an effort to model the mechanical response of mate-rials with microstructure.The theory begins with the very general concept of a continuum containing elements or particles͑called macromedia͒,which are in themselves deformable media.This behavior can easily be realized if such a macro-particle is viewed as a collection of smaller subparticles͑called micromedia͒.In this way,each particle of the continuum is endowed with an internal displacementfield,which is expanded as a power series in internal coordinate variables.Within the above context,the lowest-order theory͑dipolar or grade-two theory͒is the one obtained by retain-ing only thefirst͑linear͒term.Also,since these theories introduce dependence on strain and/or rotation gradients,the new material constants imply the presence of characteristic lengths in the ma-terial behavior,which allow the incorporation of size effects into stress analysis in a manner that the classical theory cannot afford. The Mindlin-Green-Rivlin theory and related ideas,after afirst development and some successful applications mainly on stress concentration problems during the sixties͑see,e.g.,Mindlin and Eshel͓4͔,Weitsman͓5͔,Day and Weitsman͓6͔,Cook and Weits-man͓7͔,Herrmann and Achenbach͓8͔,and Achenbach et al.͓9͔͒, have also recently been employed to analyze complex problems in materials with microstructure͑see,e.g.,Vardoulakis and Sulem ͓10͔,Fleck et al.͓11͔,Lakes͓12͔,Vardoulakis and Georgiadis ͓13͔,Wei and Huthinson͓14͔,Begley and Huthinson͓15͔,Exa-daktylos and Vardoulakis͓16͔,Huang et al.͓17͔,Zhang et al.͓18͔,Chen et al.͓19͔,Georgiadis and Vardoulakis͓20͔,Georgia-dis et al.͓21,22͔,Georgiadis and Velgaki͓23͔,and Amanatidou and Aravas͓24͔͒.More specifically,recent work by the author and co-workers͓13,20–23͔,on wave-propagation problems showed that the gradient approach predicts types of elastic waves that are not predicted by the classical theory͑SH and torsional surface waves in homogeneous materials͒and also predicts dispersion of high-frequency Rayleigh waves͑the classical elasticity fails to predict dispersion of these waves at any frequency͒.Notice that all these phenomena are observed in experiments and are also predicted by atomic-lattice analyses͑see,e.g.,Gazis et al.͓25͔͒.Contributed by the Applied Mechanics Division of T HE A MERICAN S OCIETY OFM ECHANICAL E NGINEERS for publication in the ASME J OURNAL OF A PPLIED M E-CHANICS.Manuscript received by the ASME Applied Mechanics Division,Apr.28,2002;final revision,Dec.19,2002.Associate Editor:B.M.Moran.Discussion onthe paper should be addressed to the Editor,Prof.Robert M.McMeeking,Depart-ment of Mechanical and Environmental Engineering University of California–SantaBarbara,Santa Barbara,CA93106-5070,and will be accepted until four months afterfinal publication of the paper itself in the ASME J OURNAL OF A PPLIED M ECHAN-ICS.Copyright©2003by ASMEJournal of Applied Mechanics JULY2003,Vol.70Õ517Thus,based on existing gradient-type results,one may conclude that the Mindlin-Green-Rivlin theory extends the range of appli-cability of continuum theories in an effort towards bridging the gap between classical͑monopolar or nongeneralized͒theories of continua and theories of atomic lattices.In the present work the concept adopted,following the afore-mentioned ideas,is to view the continuum as a periodic structure like that,e.g.,of crystal lattices,crystallites of a polycrystal or grains of a granular material.The material is composed wholly of unit cells͑micromedia͒having the form of cubes with edges of size2h.This size is therefore an intrinsic material length.We further assume͑and this is a rather standard assumption in studies applying the Mindlin-Green-Rivlin theory to practical problems͒that the continuum is homogeneous in the sense that the relative deformation͑i.e.,the difference between the macrodisplacementgradient and the microdeformation—cf.Mindlin͓1͔͒is zero andthe microdensity does not differ from the macrodensity.Then,weformulate the mode III crack problem by considering an isotropicand linear expression of the strain-energy density W.This expres-sion in antiplane shear and with respect to a Cartesian coordinatesystem Ox1x2x3reads Wϭ␮␧p3␧p3ϩ␮c(ץs␧p3)(ץs␧p3),where the summation convention is understood over the Latin indices,which take the values1and2only,(␧13,␧23)are the only iden-tically nonvanishing components of the linear strain tensor,␮is the shear modulus,c is the gradient coefficient͑a positive con-stant accounting for microstructural effects͒,andץs()ϵץ()/ץx s.The problem is two-dimensional and is stated in the plane(x1,x2).The above strain-energy density function is the simplest possible form of case II in Mindlin’s͓1͔theory and is appropriate for a gradient formulation with no couple-stress ef-fects,because W is completely independent upon rotation gradi-ents.Indeed,by referring to a strain-energy density function that depends upon strains and strain gradients in a three-dimensional body͑the Latin indices now span the range͑1,2,3͒͒,i.e.,a func-tion of the form Wϭ(1/2)c pqs j␧pq␧s jϩ(1/2)d pqs jlm␬pqs␬jlm with (c pqs j,d pqs jlm)being tensors of material constants and␬pqs ϭץp␧qsϵץp␧sq,and by defining the Cauchy͑in Mindlin’s nota-tion͒stress tensor as␶pqϭץW/ץ␧pq and the dipolar stress tensor ͑a third-rank tensor͒as m pqsϭץW/ץ(ץp␧qs),one may observe that the relations m pqsϭm p(qs)and m p[qs]ϭ0hold,where()and ͓͔as subscripts denote the symmetric and antisymmetric parts of a tensor,respectively.Accordingly,couple stresses do not appear within the present formulation by assuming dipolar͑internal͒forces with vanishing antisymmetric part͑more details on this are given in Section2below͒.A couple-stress,quasi-static solution of the mode-III crack problem was given earlier by Zhang et al.͓18͔. Note in passing that in the literature one mayfind mainly two types of approaches:In thefirst type͑couple-stress case͒the strain-energy density depends on rotation gradients and has no dependence upon strain gradients of the kind mentioned above ͑see,e.g.,͓11,17–19,23͔͒,whereas in the second type the strain-energy density depends on strain gradients and has no dependence upon rotation gradients͑see, e.g.,͓13,16,20–22͔͒.Exceptions from this trend exist of course͑see,e.g.,͓5–7͔͒and these works employ a more complicated formulation based on form III of Mindlin’s theory,͓1͔.Here,in addition to the quasi-static case,we also treat the time-harmonic dynamical case,which is pertinent to the problem ofstress-wave diffraction by a pre-existing crack in the body.In thelatter case,besides the standard inertia term in the equation ofmotion,a micro-inertia term is also taken into account͑in a con-sistent and rigorous manner by considering the proper kinetic-energy density͒and this leads to an explicit appearance of theintrinsic material length h.We emphasize that quasi-static ap-proaches cannot include explicitly the size of the material cell intheir governing equations.In these approaches,rather,a charac-teristic length appears in the governing equations only through the gradient coefficient c͑which has dimensions of͓length͔2)in the gradient theory without couple-stress effects or the ratio͑␩/␮͒͑which again has dimensions of͓length͔2)in the couple-stress theory without the effects of collinear dipolar forces,where␩is the couple-stress modulus and␮is the shear modulus of the ma-terial.Of course,one of the quantities c or͑␩/␮͒also appears within a dynamic analysis,which therefore may allow for an in-terrelation of the two different characteristic lengths͑the one in-troduced in the strain energy and the other introduced in the ki-netic energy—see relative works by Georgiadis et al.͓22͔and Georgiadis and Velgaki͓23͔͒.Indeed,by comparing the forms of dispersion curves of Rayleigh waves obtained by the dipolar ͑‘‘pure’’gradient and couple-stress͒approaches with the ones ob-tained by the atomic-lattice analysis of Gazis et al.͓25͔,it can be estimated that c is of the order of(0.1h)2,͓22͔,and␩is of the order of0.1␮h2,͓23͔.The mathematical analysis of the dynamical problem here pre-sents some novel features related to the Wiener-Hopf technique not encountered in dealing with the static case.The Wiener-Hopf technique is employed to obtain exact solutions in both cases,and also the Williams technique is employed for an asymptotic deter-mination of the near-tipfields.Also,since the gradient formula-tion exhibits a singular-perturbation character,the concept of a boundary layer is employed to accomplish the solution.On the other hand,the gradient formulation demands extended definitions of the J-integral and the energy release rate.It is further proved, by utilizing some theorems of distribution theory,that both energy quantities remain bounded despite the hypersingular behavior of the near-tip stressfield.Finally,physical aspects of the solution are discussed with particular reference to the closure of the crack faces and the nature of cohesive tractions.2Fundamentals of the Dipolar Gradient ElasticityA brief account of the Mindlin-Green-Rivlin theory,͓1–3͔,per-taining to the elastodynamics of homogeneous and isotropic ma-terials is given here.If a continuum with microstructure is viewed as a collection of subparticles͑micromedia͒having the form of unit cells͑cubes͒,the following expression of the kinetic-energy density͑kinetic energy per unit macrovolume͒is obtained with respect to a Cartesian coordinate system Ox1x2x3,͓1͔,Tϭ12␳u˙p u˙pϩ16␳h2͑ץp u˙q͒͑ץp u˙q͒,(1)where␳is the mass density,2h is the size of the cube edges,u p is the displacement vector,ץp()ϵץ()/ץx p,(˙)ϵץ()/ץt with t de-noting the time,and the Latin indices span the range͑1,2,3͒.We also notice that Georgiadis et al.͓22͔by using the concept of internal motions have obtained͑1͒in an alternative way to that by Mindlin͓1͔.In the RHS of Eq.͑1͒,the second term representing the effects of velocity gradients͑a term not encountered within classical continuum mechanics͒reflects the greater detail with which the dipolar theory describes the motion.Next,the following expression of the strain-energy density is postulated:Wϭ12c pqs j␧pq␧s jϩ12d pqs jlm␬pqs␬jlm,(2)where(c pqs j,d pqs jlm)are tensors of material constants,␧pq ϭ(1/2)(ץp u qϩץq u p)is the linear strain tensor,and␬pqsϭץp␧qs is the strain gradient.Notice that in the tensors c pqs j and d pqs jlm ͑which are of even rank͒the number of independent components can be reduced to yield isotropic constitutive relations.Such an isotropic behavior is considered here.Again,the form in͑2͒can be viewed as a more accurate description of the constitutive re-sponse than that provided by the classical elasticity,if one thinks of a series expansion for W containing higher-order strain gradi-ents.Also,one may expect that the additional term͑or terms͒will be significant in the vicinity of stress-concentration points where the strain undergoes very steep variations.Then,pertinent stress tensors can be defined by taking the variation of W518ÕVol.70,JULY2003Transactions of the ASME␶pq ϭץWץ␧pq,(3a )m pqs ϭץW ץ␬pqs ϵץWץ͑ץp ␧qs ͒,(3b )where ␶pq ϭ␶qp is the Cauchy ͑in Mindlin’s notation ͒stress tensor and m pqs ϭm psq is the dipolar ͑or double ͒stress tensor.The latter tensor follows from the notion of multipolar forces,which are antiparallel forces acting between the micro-media contained in the continuum with microstructure ͑see Fig.1͒.As explained by Green and Rivlin ͓2͔and Jaunzemis ͓26͔,the notion of multipolar forces arises rather naturally if one considers a series expansion for the mechanical power M containing higher-order velocity gra-dients,i.e.,M ϭF p u ˙p ϩF pq (ץp u ˙q )ϩF pqs (ץp ץq u ˙s )ϩ...,where F p are the usual forces ͑monopolar forces ͒within classical con-tinua and (F pq ,F pqs ,...)are the multipolar forces ͑dipolar or double forces,triple forces and so on ͒within generalized con-tinua.In this way,the resultant force on an ensemble of subpar-ticles can be viewed as being decomposed into external and inter-nal forces with the latter ones being self-equilibrating ͑see Fig.1͒.However,these self-equilibrating forces ͑which are multipolar forces ͒produce nonvanishing stresses,the multipolar stresses.Ex-amples of force systems of the dipolar collinear or noncollinear type are given,e.g.,in Jaunzemis ͓26͔and Fung ͓27͔.As for the notation of dipolar forces and stresses,the first index of the forces denotes the orientation of the lever arm between the forces and the second index the orientation of the pair of the forces;the same meaning is attached to the last two indices of the stresses,whereas the first index denotes the orientation of the normal to the surface on which the stress acts.The dipolar forces F pq have dimensions of ͓force ͔͓length ͔;their diagonal terms are double forces without moment and their off-diagonal terms are double forces with moment.The antisymmetric part F [pq ]ϭ(1/2)(x p F q Ϫx q F p )gives rise to couple stresses.Here,we do not consider couple-stress effects emphasizing that this is compat-ible with the particular choice of the form of W in ͑2͒,i.e.,a form dependent upon the strain gradient but completely independent upon the rotation gradient.Further,the equations of motion and the tractionboundary con-ditions along a smooth boundary can be obtained either from Hamilton’s principle ͑Mindlin ͓1͔͒or from the momentum balance laws and their application on a material tetrahedron ͑Georgiadis et al.͓22͔͒:ץp ͑␶pq Ϫץs m spq ͒ϭ␳u ¨q Ϫ␳h 23͑ץpp u¨q ͒,(4)n q ͑␶qs Ϫץp m pqs ͒ϪD q ͑n p m pqs ͒ϩ͑D l n l ͒n p n q m pqs ϩ␳h 23n r ͑ץr u ¨s͒ϭP s (n ),(5a )n q n r m qrs ϭR s (n ),(5b )where body forces are absent,D p ()ϭץp ()Ϫn p D (),D ()ϭn l ץl (),n s is the unit outward-directed vector normal to theboundary,P s(n )is the surface force per unit area ͑monopolar trac-tion ͒,and R s (n )is the surface double force per unit area ͑dipolar traction ͒.Finally,it is convenient for calculations to introduce another quantity,which is a kind of ‘‘balance stress’’͑see Eq.͑7͒below ͒,and is defined as␴pq ϭ␶pq ϩ␣pq ,(6)where ␣qs ϭ(␳h 2/3)(ץq u¨s )Ϫץp m pqs .With this definition,Eq.͑4͒takes the more familiar formץp ␴pq ϭ␳u ¨q .(7)Notice that ␴pq is not an objective quantity since it contains the acceleration terms (␳h 2/3)(ץq u ¨s ).These micro-inertia terms also are responsible for the asymmetry of ␴pq .This,however,does not pose any inconsistency but reflects the role of micro-inertia and the nonstandard nature of the theory.In the quasi-static case,where the acceleration terms are absent,␴pq is an objective tensor.On the other hand,the constitutive equations should definitely obey the principle of objectivity ͑cf.Eqs.͑9͒and ͑10͒below ͒.Now,the simplest possible form of constitutive relations is ob-tained by taking an isotropic version of the expression in ͑2͒in-volving only three material constants.This strain-energy density function readsW ϭ12␭␧pp ␧qq ϩ␮␧pq ␧pq ϩ12␭c ͑ץs ␧pp ͒͑ץs ␧qq ͒ϩ␮c ͑ץs ␧pq ͒͑ץs ␧pq ͒,(8)and leads to the constitutive relations␶pq ϭ␭␦pq ␧ss ϩ2␮␧pq ,(9)m spq ϭc ץs ͑␭␦pq ␧j j ϩ2␮␧pq ͒,(10)where ͑␭,␮͒are the standard Lame´’s constants,c is the gradient coefficient ͑material constant with dimensions of ͓length ͔2),and ␦pq is the Kronecker delta.Equations ͑9͒and ͑10͒written for a general three-dimensional state will be employed below only for an antiplane shear state.In summary,Eqs.͑4͒,͑5͒,͑9͒,and ͑10͒are the governing equa-tions for the isotropic dipolar-gradient elasticity with no couple bining ͑4͒,͑9͒,and ͑10͒leads to the field equation of the problem.Pertinent uniqueness theorems have been proved for various forms of the general theory ͑Mindlin and Eshel ͓4͔,Achenbach et al.͓9͔,and Ignaczak ͓28͔͒on the basis of positive definiteness of the strain-energy density.The latter restriction re-quires,in turn,the following inequalities for the material con-stants appearing in the theory employed here ͑Georgiadis et al.͓22͔͒:(3␭ϩ2␮)Ͼ0,␮Ͼ0,c Ͼ0.In addition,stability for the field equation in the general inertial case was proved in ͓22͔and to accomplish this the condition c Ͼ0is a necessary one ͑we notice incidentally that some heuristic gradient-like approaches not employing the rigorous Mindlin-Green-Rivlin theory appeared in the literature that take a negative c —their authors,unfortu-nately,do not realize that stability was lost in their field equation ͒.Finally,the analysis in ͓22͔provides the order-of-magnitude esti-mate (0.1h )2for the gradient coefficient c ,in terms of the intrin-sic material length h.Fig.1Monopolar …external …and dipolar …internal …forces act-ing on an ensemble of subparticles in a material with micro-structureJournal of Applied MechanicsJULY 2003,Vol.70Õ5193Formulation of the Quasi-Static Mode III Crack Problem,the J -Integral,and the Energy Release RateConsider a crack in a body with microstructure under a quasi-static antiplane shear state ͑see Fig.2͒.As will become clear in the next two sections,the semi-infinite crack model serves in a boundary layer type of analysis of any crack problem provided that the crack faces in the problem under consideration are trac-tion free.It is assumed that the mechanical behavior of the body is determined by the Eqs.͑4͒,͑5),(9),and ͑10͒of the previous section.An Oxyz Cartesian coordinate system coincident with the system Ox 1x 2x 3utilized previously is attached to that body,and an antiplane shear loading is taken in the direction of z -axis.Also,a pure antiplane shear state will be reached,if the body has the form of a thick slab in the z -direction.In such a case,the follow-ing two-dimensional field is generated:u x ϭu y ϭ0,(11a )u z ϵw 0,(11b )w ϵw ͑x ,y ͒,(11c )and Eqs.͑8)–(10͒take the formsW ϭ␮͑␧xz 2ϩ␧yz 2͒ϩ␮cͫͩץ␧xz ץx ͪ2ϩͩץ␧xzץyͪ2ϩͩץ␧yzץxͪ2ϩͩץ␧yz ץyͪ2ͬ,(12)␶xz ϭ␮ץw ץx ,(13a )␶yz ϭ␮ץw ץy,(13b )m xxz ϭ␮c ץ2wץx 2,(14a )m xyz ϭ␮cץ2wץx ץy ,(14b )m yxz ϭ␮c ץ2wץx ץy ,(14c )m yyz ϭ␮c ץ2wץy2.(14d )Further,͑4͒provides the equation of equilibriumץץx ͩ␶xz Ϫץm xxz ץx Ϫץm yxz ץy ͪϩץץy ͩ␶yz Ϫץm xyz ץx Ϫץm yyzץyͪϭ0,(15)which along with ͑13͒and ͑14͒leads to the following field equa-tion of the problem c ٌ4w Ϫٌ2w ϭ0,(16)where ٌ2ϭ(ץ2/ץx 2)ϩ(ץ2/ץy 2)and ٌ4ϭٌ2ٌ2.Finally,one may utilize ␴pq defined in ͑6͒for more economy in writing some equa-tions in the ensuing analysis.The antiplane shear components of this quantity are as follows:␴xz ϭ␮ͩץw ץx ͪϪ␮c ٌ2ͩץwץx ͪ,(17a )␴yz ϭ␮ͩץw ץy ͪϪ␮c ٌ2ͩץwץyͪ.(17b )Assume now that the cracked body is under a remotely applied loading that is also antisymmetric about the x -axis ͑crack plane ͒.Also,the crack faces are traction-free.Due to the antisymmetry of the problem,only the upper half of the cracked domain is consid-ered.Then,the following conditions can be written along the plane (ϪϱϽx Ͻϱ,y ϭ0):t yz ϵ␶yz Ϫץm xyz ץx Ϫץm yyz ץy Ϫץm yxzץxϭ0for ͑ϪϱϽx Ͻ0,y ϭ0͒,(18)m yyz ϭ0for ͑ϪϱϽx Ͻ0,y ϭ0͒,(19)w ϭ0for ͑0Ͻx Ͻϱ,y ϭ0͒,(20)ץ2wץy 2ϭ0for ͑0Ͻx Ͻϱ,y ϭ0͒,(21)where ͑18͒and ͑19͒directly follow from Eqs.͑5͒͑notice also that ͑18͒can be written as ␴yz Ϫ(ץm yxz /ץx )ϭ0by using the ␴pq quantity ͒,t yz is defined as the total monopolar stress,and ͑20͒together with ͑21͒always guarantee an antisymmetric displace-ment field w.r.t.the line of the crack prolongation.The definition of the stress t yz follows from ͑5a ͒.The problem described by ͑11)–(21͒will be considered by both the asymptotic Williams method and the exact Wiener-Hopf technique.Notice finally that no difficulty will arise by having zero boundary conditions along the crack faces since,eventually,the solution will be matched at regions where gradient effects are not dominant ͑i.e.,for x ӷc 1/2)with the K III field of the classical theory and in this way the remote loading will appear in the solution.Next,we present the new extended definitions of the J -integral and the energy release rate G .These definitions of the energy quantities are pertinent to the present framework of dipolar gradi-ent elasticity and to the aforementioned case of a crack in a quasi-static antiplane shear state.By following relative concepts from Rice ͓29,30͔,we first introduce the definitionJ ϭ͵⌫ͩWdy ϪP ¯z(n )ץw ץx d ⌫ϪR ¯z(n )D ͩץw ץxͪd ⌫ͪ,(22)where ⌫is a two-dimensional contour surrounding the crack tip͑see Fig.2͒,whereas the monopolar and dipolar tractions P ¯z (n )and R ¯z (n )on ⌫are given asP ¯z (n )ϭn q ͑␶qz Ϫץp m pqz ͒ϪD q ͑n p m pqz ͒ϩ͑D l n l ͒n p n q m pqz ,(23a )R ¯z (n )ϭn p n q m pqz .(23b )In the above expressions,n p with components (n x ,n y )is the unit outward-directed vector normal to ⌫,the differential operators D and D p were defined in Section 2,W is the strain-energy density function given by ͑12͒,and the indices (l ,p ,q )take the values x and y only.Of course,the above expressions for the tractions on ⌫are compatible with Eqs.͑5͒.Further,it can be proved that the inte-gral in ͑22͒is path independent by following Rice’s,͓29͔,proce-dure.Path independence is of great utility since it permits alter-nate choices of integration paths that may lead to adirectFig.2A crack under a remotely applied antiplane shear load-ing.The contour ⌫surrounding the crack tip serves for the definition of the J -integral.520ÕVol.70,JULY 2003Transactions of the ASMEevaluation of J .We should mention at this point that ͑22͒is quite novel within the present version of the gradient theory ͑i.e.,a form without couple stresses ͒,but expressions for J within the couple-stress theory were presented before by Atkinson and Leppington ͓31͔,Zhang et al.͓18͔,and Lubarda and Markenscoff ͓32͔.In particular,the latter work gives a systematic derivation of conser-vation integrals by the use of Noether’s theorem.Finally,we no-tice that the way the J -integral will be evaluated below is quite different than that by Zhang et al.͓18͔.Indeed,use of the theory of distributions in the present work leads to a very simple way to evaluate J ͑see Section 7below ͒.As for the energy release rate ͑ERR ͒now,we also modify the classical definition in order to take into account a higher-order term that is compatible with the present strain-gradient frameworkG ϭlim⌬x →0͵0⌬x ͫt yz ͑x ,y ϭ0͒•w ͑x ,y ϭ0͒ϩm yyz ͑x ,y ϭ0͒•ץw ͑x ,y ϭ0͒ץyͬdx⌬x,(24)where ⌬x is the small distance of a crack advancement.Of course,any meaningful crack-tip field given as solution to an associated mathematical problem,should result in a finite value for the energy quantities defined above.Despite the strong singu-larity of the stress field obtained in Sections 5and 6,the results of Section 7prove that J and G are indeed bounded.4Asymptotic Analysis by the Williams MethodAs is well known,Williams ͓33,34͔͑see also Barber ͓35͔͒de-veloped a method to explore the nature of the stress and displace-ment field near wedge corners and crack tips.This is accom-plished by attaching a set of (r ,␪)polar coordinates at the cornerpoint and by expanding the stress field as an asymptotic series in powers of r .By following this method here we are concerned,in a way,only with the field components in the sharp crack at very small values of r ,and hence we imagine looking at the tip region through a strong microscope so that situations like the ones,e.g.,on the left of Fig.3͑i.e.,a finite length crack,an edge crack or a crack in a strip ͒appear to us like the semi-infinite crack on the right of this figure.The magnification is so large that the other surfaces of the body,including the loaded remote boundaries,ap-pear enough far away for us to treat the body as an ‘‘infinite wedge’’with ‘‘loading at infinity.’’The field is,of course,a com-plicated function of (r ,␪)but near to the crack tip ͑i.e.,as r →0)we seek to expand it as a series of separated variable terms,each of which satisfies the traction-free boundary conditions on the crack faces.In view of the above,we consider the following separated form w (r ,␪)ϭr ␻ϩ1u (␪),where the displacement satisfies ͑16͒.Fur-ther,if only the dominant singular terms in ͑16͒are retained,the PDE of the problem becomes ٌ4w ϭ0,where ٌ4ϭٌ2ٌ2ϭ(ץ2/ץr 2ϩ1/r ץ/ץr ϩ1/r 2ץ2/ץ␪2)2.Also,in view of the defini-tions of stresses as combinations of derivatives of w and by re-taining again only the dominant singular terms,the boundary con-ditions t yz (x ,y ϭϮ0)ϭ0and m yyz (x ,y ϭϮ0)ϭ0will give at ␪ϭϮ␲ͩץ2ץr 2ϩ1r 2ץ2ץ␪2ϩ1r 2ͪץwץ␪ϭ0,(25a )ͩ1r ץץr ϩ1r 2ץ2ץ␪2ͪw ϭ0.(25b )In addition,the pertinent antisymmetric solution ͑i.e.,with odd behavior in ␪͒to the equation ٌ4w ϭ0has the following general form:w ϭr ␻ϩ1͑A 1sin ͓͑␻ϩ1͒␪͔ϩA 2sin ͓͑␻Ϫ1͒␪͔͒,(26)where ␻is ͑in general ͒a complex number and (A 1,A 2)are un-known constants.Now,͑25͒and ͑26͒provide the eigenvalue prob-lem͑␻ϩ1͒cos ͓͑␻ϩ1͒␲͔•A 1Ϫ3͑␻Ϫ1͒cos ͓͑␻Ϫ1͒␲͔•A 2ϭ0,(27a )͑␻ϩ1͒sin ͓͑␻ϩ1͒␲͔•A 1ϩ͑␻Ϫ3͒sin ͓͑␻Ϫ1͒␲͔•A 2ϭ0.(27b )For a nontrivial solution to exist,the determinant of the coeffi-cients of (A 1,A 2)in the above system should vanish and this gives the result:sin(2␻␲)ϭ0⇒␻ϭ0,1/2,1,3/2,2,....Next,by observing from ͑12͒that the strain-energy density W behaves at most as (ץ2w /ץr 2)or,by using the form w (r ,␪)ϭr ␻ϩ1u (␪),no worse than r ␻Ϫ1,we conclude that the maximum eigenvalue al-lowed by the integrability condition of the strain-energy density is ␻ϭ1/2.The above analysis suggests that the general asymptotic solu-tion is of the form w (r ,␪)ϭr 3/2u (␪),which by virtue of ͑26͒and ͑27b ͒becomesw ͑r ,␪͒ϭAr 3/2͓3sin ͑␪/2͒Ϫ5sin ͑3␪/2͔͒,(28)where A ϵϪA 1and the other constant in ͑26͒is given by ͑27b ͒as A 2ϭ3A 1/5.The constant A ͑amplitude of the field ͒is left un-specified by the Williams technique but still the nature of the near-tip field has been determined.Finally,the total monopolar stress has the following asymptotic behavior:t yz ͑x ,y ϭ0͒ϭO ͑x Ϫ3/2͒as x →ϩ0.(29)This asymptotic behavior will also be corroborated by the results of the exact analysis in the next section.5Exact Analysis by the Wiener-Hopf MethodAn exact solution to the problem described by ͑11͒–͑21͒will be obtained through two-sided Laplace transforms ͑see,e.g.,van der Pol and Bremmer ͓36͔and Carrier et al.͓37͔͒,theWiener-Fig.3William’s method:the near-tip fields of …i …a finite length crack,…ii …an edge crack,and …iii …a cracked strip correspond to the field generated in a body with a semi-infinite crackJournal of Applied MechanicsJULY 2003,Vol.70Õ521。

LucidShape 3D 光学产品设计系统说明书

TECHNICAL BACKGROUNDER Introduction Synopsys’ LucidShape ® products are a powerful 3D system for the computer-aided designof automotive lighting and optical products. Its interactive tools support you through productdesign, simulation, analysis, and documentation.You can use LucidShape to:• Simulate all kind of light sources, surfaces, materials and sensors• Perform efficient ray trace predictions to quickly evaluate whether your design meets yourintended product function. The LucidShape ray trace algorithm makes it fastest software onthe market for reflector design• Analyze light in motion for your products, like automotive headlamps in driving scenes orreflector motion• Customize the LucidShape user interface to fit your project and personal needs.For example, you can add your own defined dialog interfaces• Import and export CAD and photometry data. LucidShape supports a wide rangeof data formats• Support your development process with tools made to examine and documentshapes and light dataComponentsLucidShape includes these powerful tools:• LucidShell is a script interpreter that lets you write scripts in a C-like language to automatetasks like running simulations• LucidObject is a rich tool box of library components that you can use to build complexlighting simulations• LucidShape FunGeo is your ultimate feature to create reflector or lens geometry. Youcan use its collection of algorithms to calculate reflector and lens geometry for freeformobjects under optical conditions. This allows you to design by lighting by function,rather than by shapes• LucidDrive lets you run night drive simulations for automotive headlamps.• Visualize Module delivers high-speed photorealistic visualizations of an automotive lightingsystem’s lit and unlit appearanceAuthorSteffen RagnowSynopsys LucidShape Version 2.0 Technical DescriptionFigure 1: Side mirror indicator; Left: Photograph, Right: Photorealistic simulation withLucidShape´s visualize module Applications• Automotive lighting (headlamps, tail lamps, interior lighting)• Interior and external building lighting• Signal lighting• Fiber optics and pipe design• Vision systems• LED applications• Dynamic adaptive light functions• Instrument panels• Slide and TV projectors• Infrared alarm and imaging systems• Optical scannerFigure 2: Unlimited freedom of lens and reflector stylingFigure 3: Homogeneous light distributions for a rectangular lensFigure 4: Prism band for light pipe designDigital SetupYou can interactively define geometry within LucidShape for components like reflectors, lenses, light pipes, collimators, and retro reflectors. You can also import and export geometry data from CAD files (e.g., .stp and .igs files). Using the LucidShape shell script, you can create automated workflows and modify the user interface in your own applications.Setup Building Parts• Light sources (ray files, point, cylinder, and any shape light sources. Emitter types: Lambertian, Phong (cosn), and directional • LucidShape also offers a library of automotive lamps and lamps for general lighting• Sensors (illumination (lx), light flux (lm), luminance (cd/m2), light flow, ray file and history sensors)• Materials (specular, diffuse reflector/refractor, absorber, refractor)• Curves (ellipse, parabola, hyperbola, polylines, NURBS, Bezier arcs, general curves from formula, interpolated andapproximated curves)• Surfaces (cylinder, plane, sphere, disk, cone, box, freeform surfaces, NURBS, interpolated and approximated surfaces)• Procedural surfaces (rotational-paraboloid/hyperboloid/ellipsoid, rot surface, varirot surface, pipe surface, extruded surface, swept surface, swung surface, spread surface, prism surface, pillow optics on free surface)• LID Data (light intensity distribution) several file formats, e.g., .ies, .ciForm Follows FunctionTo achieve a certain optical or lighting effect the shapes within a lighting fixture must be formed to enable such a behavior.The calculation for optical/lighting functionality is one of the main features in LucidShape. It contains a set of tools that allows the design of freeform shapes with lighting/optical behavior like reflectors and refractors, as shown in Figure 5.Figure 5: Freeform reflectors designed in LucidShapeFigure 6: Tail lamp with photorealistic simulationMF CalculationMF (MacroFocal) reflector and refractor calculation is the ideal software to model the perfect shape with LucidShape.Samples within LucidShape are:• Automotive signal lamp, fog lamp, low and high beam• Automotive projector lamp• Profiled reflectors and refractors• Retro Reflector• Freeform (FF) lens surfaces for either applications or for the compensation of ray deviationFigure 7: MacroFocal head lamp reflector. The user defines the spread angle of each facet;LucidShape calculates the curvature of the facetsSimulationSimulation is the process of computing a prediction for the light function of a given lighting fixture. It answers questions like: “What will be the light intensity distribution?” or “What will be the illumination distribution on the surface of interest?” Several simulation tools are available, which differ mainly in calculation time and precision of the calculated results.You can simulate different types of ray tracing in LucidShape:• Forward Monte Carlo ray trace• Fast light mapping• Luminance image from backward ray trace• Gather sensor light (load sensors directly from light sources)• Reverse sensor light (calculate light source distribution reverse from sensors)• Random rays from light sources• Interactive ray tracingForward Monte Carlo Ray TraceThe general forward ray trace simulation based on the Monte Carlo principle gives the best and most precise results for intensity and illumination distributions but requires increased calculation time depending on the scene’s complexity.Light MappingFor the initial design of geometry, especially in reflector design, one needs a fast estimate to see the effects of geometry modification. For these tasks LucidShape provides the light mapping method for calculating light distributions within seconds. The whole setup should contain at least one source, one actor and one sensor.Ray Trace AnalysisInteractive ray trace is a powerful tool to investigate reflector and refractor design behavior; it allows special parts of the reflector to be examined in detail. In LucidShape one can interactively touch the shapes. Individual rays or ray bundles can be shown from origin to destination. Interactive ray trace also provides wavefront and filament images for every part of the reflector.Figure 8: Real time ray tracing of ray bundles. Allows you to visualizethe mirror images of a light source on a screenFigure 9: Ray history sensor trace back light from light distribution to reflectorGeometry AnalysisLucidShape offers a variety of data analysis tools:• Different data views• Interactive ray path display• Wave front and filament image display• Curvature analysis for shapes• Ray deviation analysis with checkerboard image• Wall thickness diagramLight Data Analysis• Light data analysis & operations (gradients, filter, addition, subtraction, scale, mirror, etc.)• Control light data display properties like log/linear scale, color mode• Measurement tables for automotive lighting for ECE, SAE/FMVSS & JIS regulationsLucidShape offers a wide range of possibilities for evaluating measurements. All data can be edited and modified for subsequent analysis.New data analysis tools are added regularly.Figure 10: Low beam application in different view positions;Left: Bird’s Eye View, Center: Driver View, Right: 20 m ViewFigure 11: Color data analysisFigure 12: Converted light data; Left: Spectral simulation of a lens application,Right: Extracted luminance from the spectral simulationFigure 13: Mapping of light distribution on surfacesFigure 14: Flow Sensor Interactive luminance display mapped on the geometryUser InterfaceThe user has complete control of every aspect of visualization of the model and analysis of the data. The model can be rotated, translated and zoomed via mouse and keyboard buttons.Some visualization aspects are:• Surface display type (points, triangles, curvature, light, wire frame, shaded, colored, texture)• Light data display types (false color, gray, surface color, ISO lines)• Multiple data viewsCustomize Your User InterfaceLucidShape is also an ideal framework for product function design in any technical and physical area. For your special needs we can tailor an individual design system for you. Please call us for more information.You can easily customize your project work with LucidShape. You can set up your own:• Individual pull down menus• Experimental setups• Dialog boxes• Test tablesWith our customized LucidShape applications for headlamp and tail lamp design we check the feasibility of a design concept in a very early stage. (Dr. Alexander von Hoffmann, Volkswagen)AnimationLucidDrive offers animation tools for light in motion analysis:• Dynamic driving scene• Road editor for road types and equipment, e.g., trees• Reflector, lens, and bulb motionFigure 15: Different analysis options in LucidDriveFigure 16: LucidDrive animationLucidShape Script LanguageLucidShape has its own script language. The user can set up the experiment and run simulations with this C/C++ -like language. The user-written programs can also be integrated into the LucidShape user interface as menu items. All tasks can be performed, there are no limits!Import/Export of DataLucidShape can import and export data in different file formats.CAD Software• .igs (multiple CAD software)• .stp (multiple CAD software)• .3dm (Rhinoceros 3d geometry files)• .stl (Stereo lithography format) (import only)• .dat (simple point data file format) (import only)Ray Files• .dis (ASAP ray files) (import only)Luminous Intensity Distributions• .ies (IES light distribution)• .cie (CIE light distribution)• .ldt (EULUMDAT light distribution)• .lmt (LMT goniometer format)• .kzu (Kohzu Seiki Goniometer data)• .dis (ASAP light intensity data)• .din (ASAP light intensity data)• .csv (LMT goniometer data in Excel text)• .krs (Optronik goniometer format)Free LucidShape DemoThe LucidShape demo version is a time-limited and functionality-restricted version. Ray tracing and scripting are enabled but saving and printing are disabled.Figure 17: LucidShape demo versionTo Learn MoreFor more information on LucidShape and to request a demo, please contact Synopsys’ Optical Solutions Group at(626) 795-9101 between 8:00am-5:00pm PST, visit /optical-solutions/lucidshape or send an email to***************************.©2018 Synopsys, Inc. All rights reserved. Synopsys is a trademark of Synopsys, Inc. in the United States and other countries. A list of Synopsys trademarks is availableat /copyright.html . All other names mentioned herein are trademarks or registered trademarks of their respective owners.03/27/18.CS12412_lucidshape-v2-tech-description. Pub: Feb. 2016。

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Lateral distribution of Cherenkov light in extensive air showers at high mountain altitude produced by different primary particles in wide energy rangeAlexander Mishev * and Jordan StamenovInstitute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, 72,Tsarigradsko chaussee, Sofia 1284, BulgariaAbstract: The general aim of this work is to obtain the lateral distribution of atmospheric Cherenkov light in extensive air showers produced by different primary particles precisely by. Protons, Helium, Iron, Oxygen, Carbon, Nitrogen, Calcium, Silicon and gamma quanta in wide energy range at high mountain observation level of 536 g/cm 2 - Chacaltaya cosmic ray station. The simulations are divided generally in two energy ranges 1010 eV–1013 eV which can be used for ground based gamma ray astronomy and 1013 - 1017 eV which can be used for wave front sampling telescope arrays experiments. One large detector with dimensions 800x800m has been used for simulations, the aim being to reduce the statistical fluctuations of the obtained characteristics. The shape of the obtained lateral distributions of Cherenkov light in extensive air showers is discussed and the scientific potential for solution of different problems as well.Keywords : Cosmic Ray, Lateral distribution of Atmospheric Cherenkov light, Ground based gamma astronomy, Mass composition of primary cosmic ray1. IntroductionThis field of astroparticle physics is connected with gamma-ray astrophysics and they both are young and dynamic. This field crossroads the particle physics and astrophysics, is rapidly extending in the few last years. In the last several decades one has been able to observe phenomena such as supernova remnants, active galactic nuclei, gamma ray bursts which have significant impact to our knowledge of the universe. At the same time there are still several very important unsolved problems connected with the origin and acceleration mechanisms of primary cosmic ray flux. In fact the cosmic ray studies are complementary to gamma ray astrophysics since many gamma rays are produced in processes connected with cosmic ray such as synchrotron emission as example, which involve charged cosmic ray particles.The measurements of the individual cosmic ray spectrum and the precise estimation of mass composition are very important in attempt to obtain more detailed information about the sources of primary cosmic ray and to build an adequate model of cosmic ray origin [1].Above 1014 eV the possibility for cosmic ray detection and measurement is ground based i.e. the detection of the secondary cosmic ray as example the Cherenkov light in extensive air shower (EAS). One of the most convenient techniques in cosmic ray investigation is the atmospheric Cherenkov technique [2]. At the same time it is important to cover the gap between the ground based and the space-born gamma ray astronomy. Currently gamma-ray energies between 20 and 250 GeV are not accessible to space-borne detectors and ground-based air Cherenkov detectors, the exception is the new generation imaging air-Cherenkov telescopes such as HESS [3, 4]. The air Cherenkov telescopes based on the image technique have become the most power-full*Corresponding author: mishev@inrne.bas.bga r X i v :a s t r o -p h /0512432v .116D e c .2005instrument for ground based gamma ray astronomy. The typical threshold for the majority of the telescopes ranges around 1 TeV. After the discovery of many new gamma ray sources by EGRET at COMPTON observatory the construction of new ground based telescopes with aim to decrease the energy threshold was started. Several in preparation experiments such as TACTIC [5] or MAGIC [6] used the image technique i.e. the reconstruction of the Cherenkov image of the shower. The scientific potential of the ground based gamma ray astronomy is enormous and covers both astrophysics and fundamental physics as was mentioned above. In one hand it is possible to study objects such as supernova remnants, active galactic nuclei and pulsars. On the other hand the observations especially in the range of low energies will help to understand well the various acceleration mechanisms assumed to be at the origin of very high energy gamma quanta.The registration of the atmospheric Cherenkov light in EAS can be applied for both of the cited above problems i.e. the study of the mass composition and energy spectrum of the primary cosmic ray and the gamma astronomy.The detection of the air Cherenkov light at ground level using an array of telescopes or photomultipliers contrary to the image technique is also a powerful tool for the both of the mentioned above problems - gamma astronomy [7, 8] and the all particle energy spectrum [9, 10].At the same time the new telescopes in development needs an accurate and detailed analysis of their performances i.e. the calculation of the detector response. This is possible on the basis of Monte Carlo simulations. Among the several codes on the market the CORSIKA code [11] has become practically the standard in cosmic ray community. In fact the most of the published data so far includes the detector features and constraints for which the simulations are carried out and therefore in the case when one needs the lateral distribution of Cherenkov light in EAS for different experiment it is obvious the need to carry out the simulation once more separately. Additionally the corresponding observation levels are different for the different experiments in preparation. With this in mind we present several systematic results based on Monte Carlo simulations with help of CORSIKA 6.003 code [11]. Moreover the presented results i.e. the lateral distribution of Cherenkov light in EAS produced by different primaries at Chacaltaya observation level of 536g/cm2 have been used for basis on a previously proposed method for primary cosmic ray mass composition estimation and energy spectrum estimation [12, 13, 14] and ground based gamma ray astronomy [14, 15, 16] developed for HECRE experimental proposal [17].Generally the results can be interpreted for different problems solution in two energy ranges. The first energy range is between 1010 eV and 1013 eV can be used for ground based gamma astronomy i.e. for separation of gamma initiated showers from hadron initiated events. Such type of experiments are the wave front sampling telescopes with large mirrors or solar power plants (a good example is STACEE [18, 19]). The second energy range between 1010 eV and 1017 eV can be used for wave front and angle integrating telescope arrays and as was discussed above can be used for all particle spectrum estimation of primary cosmic ray around the “knee”. It is clear that the obtained lateral distributions of Cherenkov light in EAS can be used for check of the proposed reconstruction techniques based on different methods. This will permit to estimate the different constraints and advantages of the previously proposed method [12, 14] and to compare with different methods. The results presented in this work are useful for experiments in preparation taking into account that the detector response is not included in present simulations nor the constraints connected with the detector electronics.One of the main problems during the calculations was the huge computational time necessary for tracking the charged particles which are above the energy threshold of the Cherenkov effect in the atmosphere. This is one of the reasons to choose the high mountain observation level for the simulations in attempt to reduce in one hand the computational time and on the other hand to reduce the fluctuations of the obtained distributions because this level is near to the showers maximum. At the same time at this observation level is planed the development of new experiment according the HECRE proposal [17].In addition the presented results of the simulation are a good basis for checking the previously proposed selection parameter [20, 21] used for constant efficiency selection of the registered events for other primaries different from proton and gamma quanta.2. The SimulationThe CORSIKA code [11] version 6.003 has been used for simulation of the development of EAS precisely the atmospheric Cherenkov light. The GHEISHA [22] and QGSJET [23] hadronic interaction models have been used respectively for low and high energy hadronic interactions. The observation level was of 536g/cm2 which is near to the shower maximum. As a result the fluctuation in the shower development are not so important comparing to lower observation levels and it is possible to obtain flatter distributions of the different shower components precisely the lateral distribution of Cherenkov light in EAS. The simulated particles are primary protons, Iron, Helium, Oxygen, Carbon, Nitrogen, Silicon and Calcium nuclei and primary gamma quanta as well. The lateral distribution of the Cherenkov light flux in EAS was obtained using one large detector of 800x800m the aim to reduce the statistical fluctuations and to collect as much as possible of the Cherenkov photons in the shower. The detector is divided in 23 bins distributed in logarithmic scale. This is important for the further approximation of the obtained lateral distribution taking into account several advantages of the used method [24, 25] and the REGN code [26].The most important fluctuations in shower development are due to the longitudinal shower development. In one hand the tracking of the totality of the Cherenkov photons individually in the shower is quite difficult because the enormous amount of computational time [27, 28]. On the other hand using one large detector to collect practically the totality of Cherenkov photons at given observation level is not possible because the enormous disk space. As example one proton induced shower of 1013 eV at Chacaltaya observation level takes at lest 2 Gb disk space using for registration the cited above detector. Thus we decide to sample the simulation using the well known procedure existing in the CORSIKA code i.e. the Cherenkov photons are grouped in bunches [29]. Obviously the bunch size depends on the energy of the incident primary particle. We apply the CORSIKA algorithm for automatic bunch size calculation. In one hand the procedure is most computing consuming in comparison to give some value to the bunch. On the other hand this procedure is practically the optimal [11, 30] In the low energy region i.e. for gamma quanta and protons above 1010 eV the calculated bunch size is 30 photons. In the high energy region the calculated bunch size is 177 photons for 1015 eV proton induced events, 1834 for 1016 proton induced events and 18405 for 1017 eV proton induced events. The bandwidth of Cherenkov photons simulations was chosen between 300nm and 550 nm, which is the sensitivity range of the most of photomultipliers in production and which are used in the different experiments counting on atmospheric Cherenkov technique.The Rayleigh attenuation of the light in the atmosphere was not taken into account, nor the Mie scattering. One of the reasons to make this is that these effects are easy to calculate and to takeinto account [31] and at this observation level the amount of the atmosphere above the observation level is not so important. The consequence is the possibility to neglect these effects. Only vertical events are taken into account during the simulations. The used statistics varies as a function of the energy of the incident particle. In low energy region we simulate at least 10 000 events per energy point. Above 1013 eV we simulate 500 events per energy point. The core of each is located at the center of the detector. Thus we simulate showers of the same type.In attempt to save disk space and to use large statistics a partial modification of the original CORSIKA version was made, precisely in the code output. All the characteristics of interest are calculated during the simulation. Therefore it is possible to obtain event per event directly the needed Cherenkov photon density. The bins are as follows (0., 1., 1.33, 1.78, 2.37, 3.16, 4.22, 5.62, 7.5, 10., 13.3, 17.8, 23.7, 31.6, 42.2, 56.2, 75.,100., 133., 178., 237., 316., 422., 562. ) in meters from the shower axis.3. Results and DiscussionThe obtained with CORSIKA 6.003 [11] code lateral distributions of Cherenkov light in EAS at high mountain altitude using corresponding hadronic interaction models GHEISHA [22] and GGSJET [23] are presented in next several figures. In fig. 1a and 1b are presented the lateral distribution of Cherenkov light in EAS produced by proton incoming showers in the energy ranges 1011-1013 eV and 1013-1017 eV at 536g/cm 2 observation level. In Y axis is shown the Cherenkov light density Q(R) measured in photons per m 2. In X axis is shown the core distance in meters.101011021031041051061071081091010Q (R ) [p h o t o n /m 2]R [m ]Fig. 1a Lateral distributions of Cherenkov light flux in EAS produced by primary protons induced showers in the energy range 1013 –1017 eV at 536g/cm 2 observation levelIn this figure are presented the mean values with the corresponding standard deviation. An additional analysis in each bin concerning the symmetry of the obtained distribution is carried out. As was expected [29] around 1013 eV energy of the primary particle and near to the shower axis the distribution of the Cherenkov photons in the bin is not symmetric. As a consequence one observes difference between the mean and median values. This difference is presented in fig. 2 for proton induced showers of 1013 eV energy. We analyze also each bin per bin. In the energy range 1011-1013 eV the fluctuations distribution of the Cherenkov photons in the bin are higher than from Poisson distribution. Increasing the energy of the incident particle the fluctuations of the Cherenkov photon distribution in the bin became smaller and the distribution is in parctice symmetric (fig.3 and fig.4). The same effect was observed at large distances from the shower axis. This is due to the large bin size at big distance from the shower axis.101010101010Q (R ) [p h o t o n /m 2 ]R [m ]Fig. 1b Lateral distributions of Cherenkov light flux in EAS produced by primary protons induced showers in the energy range 1011 –1013 eV at 536g/cm 2 observation level1x1042x1043x104Q (R ) [p h o t o n /m 2]R [m]Fig. 2 The mean and median of the lateral distribution of Cherenkov light flux in EAS produced by primary protons induced showers with energy 1013 eV at 536g/cm 2 observation level1x1062x1063x1064x1065x1066x1067x106Q (R ) [p h o t o n /m 2]R [m]Fig. 3 The mean and median of the lateral distribution of Cherenkov light flux in EAS produced by primary protons induced showers with energy 1015 eV at 536g/cm 2 observation level2.76511.6549.2207.5-1x10801x1082x1083x1084x1085x1086x1087x1088x1089x108Q (R ) [p h o t o n /m 2]R [m]Fig. 4 The mean and median of the lateral distribution of Cherenkov light flux in EAS producedby primary protons induced showers with energy 1017 eV at 536g/cm 2 observation levelIn addition we study the dependence of the fluctuations in Cherenkov light flux as a function of the bin size. This very important especially for low energy region where the obtained densities are lower and the observed fluctuations of the Cherenkov light flux are bigger. The result of this study is that in low energy range the statistical fluctuations are strongly dependent on the size of the bin. This means that in this energy range one have to increase the obtained statistical fluctuations when one deal with detectors having smaller area. As a consequence this result could reflect on the possible reconstruction techniques of the measured event using wave front sampling telescope arrays. It is possible to underestimate the measured Cherenkov light flux in EAS fluctuations and to estimate as example the energy of the reconstructed particle with not correct accuracy. Moreover it is possible to obtain not correct rejection of hadronic induced events when one deal with ground based gamma-ray experiments. Therefore in the low energy region between 1010 and 1013 eV one have to study the problems additionally and to use the presented data of simulations only on methodological level.In the high energy range the fluctuations due to the longitudinal development of the shower dominate and the dependence of the statistical fluctuations is not so strong as a function of the bin size. One can see that at large distances the median of the obtained distribution and the meanvalues are very close when one increases the bin size and the energy of the incoming primary particle.This is the reason to present in the figures the mean values of Cherenkov light flux density with the corresponding standard deviation. In fig. 5 is presented the lateral distribution of Cherenkov light in EAS produced by Iron nuclei as incoming showers in the energy range 1013-1017 eV at 536g/cm 2 observation level. In fig. 6 is presented the lateral distribution of Cherenkov light in EAS produced by Helium and Oxygen nuclei as incoming showers in the same energy range of 1013-1017 eV at 536g/cm 2 observation level.The additional result is the obtained the influence of the bunch size to the obtained statistical fluctuations of the Cherenkov light density in EAS. Even in the high energy range the intrinsic fluctuations in lateral distribution of Cherenkov light in EAS are grater to the fluctuations due to the changes in a bunch size.1101001000101010101010101010Q (R ) [p h o t o n /m 2 ]R [m ]Fig. 5 Lateral distributions of Cherenkov light flux in EAS produced by primary Iron nuclei induced showers in the energy range 1013 –1017 eV at 536g/cm 2 observation level111111111111111111Q (R ) [p h o t o n /m 2 ]R [m ]Q (R ) [p h o t o n /m 2 ]R [m ]Fig. 6 Lateral distributions of Cherenkov light flux in EAS produced by primary Helium andOxygen nuclei induced showers in the energy range 1013 –1017 eV at 536g/cm 2 observation levelIn all the plots the open symbols was used for lateral distribution of Cherenkov light flux when the energy of the initiated particle is a half order. As example in fig.1 the presented lateral distribution of Cherenkov light in EAS produced by primary proton having energy of 5.1015 eV is presented with open circles. The filled symbols are used when the energy of the incident particle is equal exactly to the order (as example 1015 eV is presented with filled circles in the same figure).It is obvious that the lateral distributions of Cherenkov light initiated in EAS produced by different primary particles are with very similar shape. As was expected the fluctuations are more important at the energies till 1013.5 eV, thus in low energy range of simulated events. Generally the lateral distribution of Cherenkov light initiated by primary nuclei is wider. Moreover increasing the atomic mass of the incoming particle the lateral distribution became wider and as was expected increasing the atomic mass A of the incoming particle the resulting Cherenkov light flux in EAS decreases. Additionally the fluctuations of the obtained lateral distribution of Cherenkov light in EAS diminish increasing the atomic mass A of the initiating primary particle. In fig. 7 are presented the lateral distributions of Cherenkov light flux in EAS produced by primary Protons and Iron, Helium and Oxygen nuclei induced showers in the energy range 1015 –1017 eV at 536g/cm 2 observation level near to the shower axis.106107108109Q (R ) [p h o t o n /m 2]R [m]Fig. 7 Lateral distributions of Cherenkov light flux in EAS near to the shower axis produced by primary Protons and Iron, Helium and Oxygen nuclei induced showers in the energy range 1015 –1017 eV at 536g/cm 2 observation level10101010Q (R ) [p h o t o n /m 2]R [m]Fig. 8a Lateral distributions of Cherenkov light flux in EAS produced by primary Protons and Iron, Helium and Oxygen nuclei induced showers in the energy range 1015 –1017 eV at 536g/cm 2 observation level11010101010101016 eV1015 eV 1014 eV Q (R ) [p h o t o n /m 2]R [m]Fig. 8b Lateral distributions of Cherenkov light flux in EAS near to the shower produced by primary Protons and Iron, Helium and Oxygen nuclei induced showers in the energy range 1015 –1017 eV at 536g/cm 2 observation levelIn fig. 8a and 8b are presented the differences between the lateral distribution of Cherenkov light in EAS produced by primary proton, Iron, Helium and Oxygen nuclei. Generally the difference is significant near to the shower axis and in the low energy region i.e. around energies of some 1014 eV. At the end of the distribution the difference is smaller. However the significant differences observed in the fluctuations are well seen, especially the gradient of the distribution. Obviously in the energy range below the “knee” the obtained lateral distributions of Cherenkov light flux in EAS initiated by primary nuclei is between the Cherenkov light flux generated by proton and iron nuclei as incoming showers.Similar simulations are carried out for gamma quanta incident particles with practically the same data sets in CORSIKA code [11]. The obtained lateral distributions of Cherenkov light in EAS produced by incoming gamma quanta are presented in fig. 9a in the energy range 1010-1013 eV and fig. 9b 1013-1016 eV. These simulations are very important in attempt to build a useful method for separation of gamma quanta initiated showers from hadron initiated showers. One difference comparing to the lower observation levels [27, 32, 33] is that one can not observe a typical for low observation levels hump i.e. the characteristic ring of Cherenkov photons which appears between 90-120 m from the shower axis in gamma quanta induced showers. This is due essentially to the high mountain observation level and thus the not so important influence of the atmosphere layer to the refractive index.10-210-110010110210310410513eV12eV 12eV11eV 11eV10eV 10eVQ (R ) [p h o t o n /m 2]R [m]Fig. 9a Lateral distributions of Cherenkov light flux in EAS produced by primary gamma quanta induced showers in the energy range 1010 –1013 eV at 536g/cm 2 observation level10101102103104105106107108109Q (R ) [p h o t o n /m 2]R [m]Fig. 9b Lateral distributions of Cherenkov light flux in EAS produced by primary gamma quanta induced showers in the energy range 1013 –1016 eV at 536g/cm 2 observation levelComparing the lateral distribution of Cherenkov light flux in EAS generated by primary protons and gamma quanta one can see that the lateral distribution produced by primary nuclei is wider and with larger density fluctuations as was expected. The difference between lateral distributions of Cherenkov light flux in EAS initiated by proton and gamma quanta showers in the energy range 1011-1013 eV is presented in fig. 10. One can explain this difference counting on the fundamental difference between electromagnetic and hadronic induced showers. In one hand EAS generated by primary gamma quanta is practically pure electromagnetic cascade. Thus the Cherenkov light in EAS initiated by gamma quanta comes essentially from electrons and as a result the lateral distribution of Cherenkov light is much uniform. On the other hand the Cherenkov light in hadron induced showers comes essentially from electromagnetic sub showers initiated by secondary π0 decays. The rest comes from charged pions and essentially from the decay muons. One part of the muons can reach the ground i.e. the observation level and thus generate Cherenkov light flux near to the detector. Taking into account that pions generally have large transverse momentum with large fluctuation one can explain the chaotic shower shape and so the larger fluctuations of Cherenkov light flux.Practically the same simulations are carried out for Carbon, Nitrogen, Calcium and Silicon primary nuclei. The obtained lateral distributions of Cherenkov light in EAS are presented in fig. 11-14.110102103104105proton 1013eVγ 1013eVproton 5x1012eVγ 5x 1012eVproton 1012eVγ 1012eVproton 5x1011eVγ 5x1011eVproton 1011eVγ 1011eVQ (R ) [p h o t o n s /m 2 ]R [m]Fig. 10 Lateral distributions of Cherenkov light flux in EAS produced by primary proton and gamma quanta induced showers in the energy range 1011 –1013 eV at 536g/cm 2 observation level101102103104105106107108Q (R ) [p h o t o n /m 2]R [m]Fig. 11 Lateral distributions of Cherenkov light flux in EAS produced by primary Carbon nuclei induced showers in the energy range 1013 –1017 eV at 536g/cm 2 observation level1010101010101010Q (R ) [p h o t o n /m 2]R [m]Fig. 12 Lateral distributions of Cherenkov light flux in EAS produced by primary Nitrogen nuclei induced showers in the energy range 1013 –1017 eV at 536g/cm 2 observation level1010101010101010Q (R ) [p h o t o n /m 2 ]R [m]Fig. 13 Lateral distributions of Cherenkov light flux in EAS produced by primary Calcium nuclei induced showers in the energy range 1013 –1017 eV at 536g/cm 2 observation level1010101010101010Q (R ) [p h o t o n /m 2]R [m]Fig. 14 Lateral distributions of Cherenkov light flux in EAS produced by primary Silicon nuclei induced showers in the energy range 1013–1017 eV at 536g/cm 2 observation levelThe final aim is to build a databank of Cherenkov light flux lateral distribution in EAS produced by different nuclei and gamma quanta towards to check the previously proposed method for mass composition and energy estimation of primary cosmic ray for large diversity of particles. Moreover the obtained distributions are good basis for rejection of hadronic showers from electromagnetic ones using similar method that proposed by F. Arqueros in [34].All of the simulated lateral distributions of Cherenkov light in EAS produced by primary hadrons are presented in fig. 15-18. As was expected these results confirm the results presented in fig. 7, 8a and 8b and in [35]. The shape of the distributions is very similar with differences of the density values and the slope. At the same time the relative fluctuations varies as a function of the energy of the initial primary and as well the type.11010010101102103104105Proton Iron Silicon Helium O xygen CarbonCalcium Nitrogen Q (R ) [p h o t o n /m 2]R [m ]13eV14eVFig. 15 Lateral distributions of Cherenkov light flux in EAS produced by primary Proton, Helium, Carbon, Nitrogen, Oxygen, Calcium, Silicon and Iron nuclei induced showers in the energy range 1013–1014 eV at 536g/cm 2 observation level101010Proton Iron Silicon Helium Oxygen Carbon Calcium NitrogenQ (R ) [p h o t o n /m 2]R [m]13eVFig. 16 Lateral distributions of Cherenkov light flux in EAS produced by primary Proton, Helium, Carbon, Nitrogen, Oxygen, Calcium, Silicon and Iron nuclei induced showers in the energy range 1013 eV at 536g/cm 2 observation level105106107108Q (R ) [p h o t o n /m 2]R [m]Fig. 17 Lateral distributions of Cherenkov light flux in EAS produced by primary Proton, Helium, Carbon, Nitrogen, Oxygen, Calcium, Silicon and Iron nuclei induced showers in the energy range 1014–1016 eV at 536g/cm 2 observation level。

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