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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    BadZipFile
Message:      zipfiles that span multiple disks are not supported
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1492, in compute_config_parquet_and_info_response
                  fill_builder_info(builder, hf_endpoint=hf_endpoint, hf_token=hf_token, validate=validate)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 683, in fill_builder_info
                  ) = retry_validate_get_features_num_examples_size_and_compression_ratio(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 602, in retry_validate_get_features_num_examples_size_and_compression_ratio
                  validate(pf)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 640, in validate
                  raise TooBigRowGroupsError(
              worker.job_runners.config.parquet_and_info.TooBigRowGroupsError: Parquet file has too big row groups. First row group has 389851202 which exceeds the limit of 300000000
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1995, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 797, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 84, in _generate_tables
                  for file_idx, file in enumerate(itertools.chain.from_iterable(files)):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1577, in __iter__
                  for x in self.generator(*self.args, **self.kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1658, in _iter_from_urlpaths
                  if xisfile(urlpath, download_config=download_config):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1024, in xisfile
                  fs, *_ = url_to_fs(path, **storage_options)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 395, in url_to_fs
                  fs = filesystem(protocol, **inkwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/registry.py", line 293, in filesystem
                  return cls(**storage_options)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 80, in __call__
                  obj = super().__call__(*args, **kwargs)
                File "<string>", line 3, in __init__
                File "/usr/local/lib/python3.9/unittest/mock.py", line 1092, in __call__
                  return self._mock_call(*args, **kwargs)
                File "/usr/local/lib/python3.9/unittest/mock.py", line 1096, in _mock_call
                  return self._execute_mock_call(*args, **kwargs)
                File "/usr/local/lib/python3.9/unittest/mock.py", line 1157, in _execute_mock_call
                  result = effect(*args, **kwargs)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 934, in track_metadata_read_once
                  out = func(instance, fo=urlpath, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 62, in __init__
                  self.zip = zipfile.ZipFile(
                File "/usr/local/lib/python3.9/zipfile.py", line 1266, in __init__
                  self._RealGetContents()
                File "/usr/local/lib/python3.9/zipfile.py", line 1329, in _RealGetContents
                  endrec = _EndRecData(fp)
                File "/usr/local/lib/python3.9/zipfile.py", line 286, in _EndRecData
                  return _EndRecData64(fpin, -sizeEndCentDir, endrec)
                File "/usr/local/lib/python3.9/zipfile.py", line 232, in _EndRecData64
                  raise BadZipFile("zipfiles that span multiple disks are not supported")
              zipfile.BadZipFile: zipfiles that span multiple disks are not supported
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1505, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1099, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2038, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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image_filename
string
caption
string
dataset/figures/0704_0008_pgascmp1.eps
Principal isentrope and shock Hugoniot for air (perfect gas): numerical calculations for general material models, compared with analytic solutions.
dataset/figures/0704_0008_AlcmpT.eps
Shock Hugoniot for Al in pressure-temperature space, for different representations of the equation of state.
dataset/figures/0704_0008_Becmpvp.eps
Principal adiabat and shock Hugoniot for Be in normal stress-compression space, neglecting strength (dashed), for Steinberg-Guinan strength (solid), and for elastic-perfectly plastic with Y=10\,GPa (dotted).
dataset/figures/0704_0008_Becmppus.eps
Principal adiabat and shock Hugoniot for Be in shock speed-normal stress space, neglecting strength (dashed), for Steinberg-Guinan strength (solid), and for elastic-perfectly plastic with Y=10\,GPa (dotted).
dataset/figures/0704_0008_Becmptp.eps
Principal adiabat, shock Hugoniot, and release adiabat for Be in normal stress-temperature space, neglecting strength (dashed), for Steinberg-Guinan strength (solid), and for elastic-perfectly plastic with Y=10\,GPa (dotted).
dataset/figures/0704_0008_Almelt.eps
Demonstration of shock Hugoniot solution across a phase boundary: shock-melting of Al, for different initial porosities.
dataset/figures/0704_0008_impact.eps
Wave interactions for the impact of a flat projectile moving from left to right with a stationary target. Dashed arrows are a guide to the sequence of states. For a projectile moving from right to left, the construction is the mirror image reflected in the normal stress axis.
dataset/figures/0704_0008_shockrel.eps
Wave interactions for the release of a shocked state (shock moving from left to right) into a stationary `window' material to its right. The release state depends whether the window has a higher or lower shock impedance than the shocked material. Dashed arrows are a guide to the sequence of states. For a shock moving from right to left, the construction is the mirror image reflected in the normal stress axis.
dataset/figures/0704_0008_doublerel.eps
Wave interactions for the release of a shocked state by tension induced as materials try to separate in opposite directions when joined by a bonded interface. Material damage, spall, and separation are neglected: the construction shows the maximum tensile stress possible. For general material properties, e.g. if plastic flow is included, the state of maximum tensile stress is not just the negative of the initial shock state. Dashed arrows are a guide to the sequence of states. The graph shows the initial state after an impact by a projectile moving from right to left; for a shock moving from right to left, the construction is the mirror image reflected in the normal stress axis.
dataset/figures/0704_0008_composite.eps
Schematic of uniaxial wave interactions induced by the impact of a flat projectile with a composite target.
dataset/figures/0704_0008_impactsim_notes.eps
Hydrocode simulation of Al projectile at 3.6\,km/s impacting a Mo target with a LiF release window, 1.1\,s after impact. Structures on the waves are elastic precursors.
dataset/figures/0704_0009_f12.ps
sedI0Spectral Energy Distributions of the Class I sources in the sample. The open dots signal the observed fluxes from J-band to MIPS-70 when available. The label gives the index in Table yso-table.
dataset/figures/0704_0009_f14.ps
sedF0Spectral Energy Distributions of the Flat sources in the sample. Symbols as in Figure sedI0.
dataset/figures/0704_0009_f15.ps
sedII0Spectral Energy Distributions (SED) of the Class II sources in the sample. The open and solid dots are the observed and dereddened fluxes respectively. The grey line is the stellar model of a K7 star and the dashed line is the median SED of the TTauri stars in Taurus by Hartmann et al. (2005) normalized to the dereddened J-band flux for comparison. See text for more information.
dataset/figures/0704_0009_f16.ps
sedII1Spectral Energy Distributions of the Class II sources in the sample (continued).
dataset/figures/0704_0009_f17.ps
sedII2Spectral Energy Distributions of the Class II sources in the sample (continued).
dataset/figures/0704_0009_f18.ps
sedII3Spectral Energy Distributions of the Class II sources in the sample (continued).
dataset/figures/0704_0009_f19.ps
sedIII0Spectral Energy Distributions of the Class III sources in the sample.
dataset/figures/0704_0009_f21.eps
diskLDistribution of disk to star luminosity ratios. The solid and dashed lines are the total sample and T Tauri-like sample of SEDs, respectively. Also marked are the typical ranges of L_ disk/L_ star ratios for debris disks, passive irradiated disks and accretion disks. The figure indicates that objects of all three evolutionary stages are found in Serpens, with a predominance of young accreting T Tauri-type stars.
dataset/figures/0704_0017_hbgpspx4win_24591rvel1.ps
Radial-velocity Fourier amplitude spectra from the 1991 combined data are shown for =3000 km s^-1 and 900 km s^-1 for the ^-1 and 1200 km s^-1 for the denotes the orbital frequency of the system, 2 its first harmonic and + the upper orbital side band where is the spin frequency. The data were prewhitened by the orbital frequency and are displayed in the third panels from the top. Window spectra are plotted below the amplitude spectra (bottom panels).
dataset/figures/0704_0017_hapspx4win_01rvelspin1.ps
Radial velocity amplitude spectra shown for the =3500 km s^-1 and 1200 km s^-1. The vertical dashed line shows the expected position of the orbital and spin period peaks. The data were prewhitened by and are shown in the third panel from the top. A window spectrum is shown at the bottom.
dataset/figures/0704_0017_habgidltrl01-5xv.ps
2001 , , q=0.21, i=78^ and M_1=0.50 M_. The bottom panels are the reconstruction of the average-subtracted data. The fourth and bottom panels are also plotted on the same scale except for
dataset/figures/0704_0017_habg_24591-1t2wunbpr.eps
The (top panel), (middle panel) and (bottom panel) spin radial velocities of the narrow component from the 1991 combined data () and 2001 data (). The
dataset/figures/0704_0017_ha_01spinrvel3t51t2wf.ps
The spin radial velocity curves of the
dataset/figures/0704_0017_trailer_spin_01avinvar4pxv.ps
The , , 4471 trailed spectra from 2001 folded on the spin period are shown at the top panels and the average-subtracted spectra are shown at the second panels. Doppler maps constructed from the phase-invariant subtracted spectra are shown in the bottom panels. The Doppler maps were constructed using the BPM and are shown on the same velocity scale with the trailed spectra. The lookup table is as in Figure~q:habegatrl.
dataset/figures/0704_0017_habgidltrl01sp-4ixv.ps
, . The lookup table is as in Figure~q:habegaidltrl.
dataset/figures/0704_0017_qexillus2e.eps
A depiction of the regions where
dataset/figures/0704_0022_time3.eps
Rigid body: We show the log-distance of the approximate solution to the unit sphere as a function of time for each of the methods. Below we show the approximate solutions as a function of time for the stochastic Taylor (blue) and Munthe-Kaas methods (magenta). The trajectory starts at the top right and eventually drifts over the left horizon.
dataset/figures/0704_0022_casimirs040607.eps
Autonomous underwater vehicle: We show the log-distance of the approximate solution to the two Casimirs C_1= p(dotted line) and C_2=|p|^2(solid line) as a function of time for each of the methods. Below, we also show the global error as a function of stepsize.
dataset/figures/0704_0027_LLphononRes2.eps
(a) Optical phonons are lattice vibrations with an out-off-phase oscillation of the two sublattices. %(b) Interband electron-hole excitations coupling to phonon modes with different circular polarization.
dataset/figures/0704_0027_PhononPlasmonB30.eps
(a) Coupled phonon and magneto-excitons as a function of the magnetic field. Energies are in units of the bare phonon energy . Dashed lines indicate the uncoupled valley-symmetric modes, with g_A=0. (b) Mode splitting as a function of the filling factor, as may be seen in Raman spectroscopy, with the resonance condition _n=0%_0, for =0 in (I), 0<||<2(in II), and = 2(in III). The absolute intensity of the modes is in arbitrary units, but the height and the width reflect the expected relative intensities. (c) Mode splitting for % n=0, as a function of the filling factor . (d) Same as in (c) for n 1.
dataset/figures/0704_0030_fig1.eps
Second order contributions to the self-energy. Straight lines represent electron Green's functions of the host and wavy lines phonon Green's functions.
dataset/figures/0704_0030_fig2A.ps
fig:cmpmillis The spectral function in the static limit of the half-filled Holstein model computed at temperature T=0.08(a) using the exact solution and (b) using 2nd order IPT at a low frequency, _0=0.004. The IPT solution at this small non-zero frequency is quite close to the exact solution in the static limit. In particular, the band splitting and the positions of the maxima agree. To contrast, panel (c) shows the results of the approximation using the full Green's function (Diagram 2c from figure fig:phon2o is not included to avoid overcounting)
dataset/figures/0704_0030_fig3A.ps
fig:ipt Spectral functions of the half-filled Holstein model for various electron-phonon couplings U, approximated using 2nd order perturbation theory at T=0.02 and _0=0.056(top), _0=0.5(center) and _0=2(bottom). In the low frequency limit (_0=0.125), the spectral functions are similar to those in the static limit shown in Fig. fig:cmpmillis, with only a small effect from the non-zero phonon frequency. As the temperature is lower than the phonon frequency, the central quasiparticle peak is clearly resolved for U 2. For the intermediate frequencies (central panel) the peak around =0 is again clear and has a width _0 at low coupling. In the gapped phase at large couplings two band-splittings are visible. For _0 the band splits just as in the static limit, while for U there is a peak at a renormalized phonon frequency (which is less than the bare phonon frequency). In the ungapped phases for _0=0.5 and 2, the low energy behavior is similar to that found in the Hubbard model with a narrow quasiparticle band forming near the Fermi energy with the value at the Fermi energy pinned to its value in the non-interacting case.
dataset/figures/0704_0030_fig4.ps
fig:seImaginary part of the self-energy of the half-filled Holstein model when U=2 and _0=2 computed using IPT and analytically continued using MAXENT. At low temperatures the low frequency behavior is Fermi-liquid like (quadratic dependence on ) down to quite low frequencies (at very low frequencies and low temperatures there are some inaccuracies associated with the truncation in Matsubara frequencies). There are peaks at the frequencies associated with the phonon energy and with U. As the temperature increases the minimum at the Fermi energy ( =0) increases as incoherent on-site scattering in the corresponding local impurity increases (see text). At temperatures above the characteristic (Kondo-like) energy scale the central peak subsides and disappears.
dataset/figures/0704_0030_fig5.ps
fig:ocThe real part of the optical conductivity for a system with U=2.0 and _0=2.0 for a range of temperatures. The structure of the spectrum reflects that in the density of states (see fig fig:ipt. At low frequencies, electrons may be excited within the quasiparticle resonance. The second peak at 2.0 represents excitations from the Kondo resonance to the large satellite (Hubbard band), and the peak at 5.0 represents excitations between the satellites.
dataset/figures/0704_0030_fig6.ps
fig:resThe resistivity as a function of temperature for the Holstein model for _0=2 for varying electron-phonon coupling strengths. The resistivity is in units of e^2V/ h a^2 with V the unit cell volume and a the lattice cell spacing. The behavior reflects what is seen in the self-energy. At low temperatures the behavior is similar to that in a Kondo lattice. The resistivity rises sharply with temperature for temperatures smaller than the quasiparticle bandwidth. The resistivity then drops for temperatures larger than this lattice coherence temperature. A simple logarithmic decay with temperature is not visible because, in addition to the Kondo-like scattering processes, the electrons are scattered from thermally excited phonons whose spectral weight broadens and shifts towards lower frequencies as the temperature rises. This leads to a second peak. In contrast, the second peak is not visible for the Hubbard model, and indicates the presence of two energy scales in the Holstein model.
dataset/figures/0704_0045_fig1a.eps
Isolated solitary wave (a) and undular bore (b) entering the variable topography/bottom friction region.
dataset/figures/0704_0045_fig2.eps
Dependence of the modulus m on the physical space coordinate x in the cases without and with bottom friction in the X-independent modulation solution.
dataset/figures/0704_0045_fig3a.eps
Left: Dependence of the mean value A in the X-independent modulation solution on the physical space coordinate x without (dashed line) and with (solid line) bottom friction; Right: Same but multiplied by the Green's law factor, h^1/4
dataset/figures/0704_0045_fig4.eps
Dependence of the surface elevation amplitude a on the space coordinate x. Dashed line corresponds to the frictionless case and solid line to the case with bottom friction.
dataset/figures/0704_0045_fig5a.eps
Left: Riemann invariants behaviour in the similarity modulation solution for the flat-bottom zero-friction case ; ().
dataset/figures/0704_0045_fig6a.eps
Characteristics behaviour for the similarity modulation solution near the leading edge ^+(): (a) families _1: d/d = v_1 and _2 : =C_2 , (b) family _3: d/d = v_3.
dataset/figures/0704_0045_fig7a.eps
a) Leading edge ^+() of non-self-similar undular bore as an envelope of pairwise merging characteristics from the families d/d=v_1 and d/d=v_2; r_3 0.
dataset/figures/0704_0045_fig8a.eps
Riemann variables behaviour in the vicinity of the leading edge of the undular bore propagating over gradual slope with bottom friction (a) Adiabatic variations of the similarity GP regime, , C_D ; (b) General case, C_D .
dataset/figures/0704_0060_fig1.eps
Comparison between experimental Coulomb excitation cross sections (solid stars with error bars) and theoretical ones, calculated either with eq. cross_2(open circles), or with eq. approx(open triangles).
dataset/figures/0704_0060_fig2.eps
Coulomb excitation cross section of ^11Be, ^11B and ^54Ni and of the 13.05 MeV sate in ^16O projectiles incident on Pb targets as a function of the laboratory energy.
dataset/figures/0704_0069_postproductionCurrent.jpg
A current comprised of parallel submanifolds smeared and cropped.
dataset/figures/0704_0082_1sol_comp.eps
Snapshots of one-soliton density profiles. The upper row is plotted for =0 at the moment t=0, with k=0, _0=1, _1=1+, _1=1.27+0.79((x,t)=-(1.57-2.54)x-(8.23-1.94)t) and =hspace*-1mmcc 4/5 -1mm&-1mm2/5\\ 2/5-1mm&-1mm1/5 -1mm. The lower row is plotted for 0 at the moment t=0, with the same parameters except for =hspace*-1mmcc 1/2-1mm&-1mm2/5\\ 2/5-1mm&-1mm3/(52) -1mm. The left panel (a) depicts the local density for each component, |_1|^2(solid line), |_0|^2(chain line) and |_-1|^2(dotted line). The center panel (b) depicts the local number density n, where the contribution of the background is included. The right panel (c) depicts the local spin densities, f_x(solid line) and f_z(dotted line). f_y vanishes identically due to a choice of a real matrix .
dataset/figures/0704_0082_2sol+pp.eps
Density plots of |_1|^2(a), |_0|^2(b) and |_-1|^2(c) for a mutual collision between two PS-types. The parameters used here are k=1, _0=1, _1=1.03, _3=1.05+, _1=hspace*-1mmcc 1/2-1mm&-1mm/2\\/2-1mm&-1mm0 -1mm, _3=hspace*-1mmcc 0 -1mm&-1mm/2\\/2-1mm&-1mm1/2-1mm. The velocity of the right (left) moving soliton is 2.00(-3.41). The collision takes place at t=0.
dataset/figures/0704_0082_2sol+fp.eps
Density plots of |_1|^2(a), |_0|^2(b) and |_-1|^2(c) for a mutual collision between DW-type and PS-type. The parameters used here are the same as those of Fig. fig:ppcollision, except for _1=hspace*-1mmcc 2/3 -1mm&-1mm2/3\\2/3-1mm&-1mm-1/3 -1mm, _3=hspace*-1mmcc 1/2-1mm&-1mm0\\ 0-1mm&-1mm-1/2-1mm. The right (left) moving soliton is DW-type (PS-type).
dataset/figures/0704_0082_2sol+ff.eps
Density plots of |_1|^2(a), |_0|^2(b) and |_-1|^2(c) for a mutual collision between two DW-types. The parameters used here are the same as those of Fig. fig:ppcollision, except for _1=hspace*-1mmcc 1/2 -1mm&-1mm/2\\/2-1mm&-1mm-1/2 -1mm, _3=hspace*-1mmcc 1 -1mm&-1mm0\\ 0-1mm&-1mm0 -1mm. The values more than 2 are colored white.
dataset/figures/0704_0094_ana.ps
Analytical timing-predicted dynamical mass vs. the relative speed of two objects separated by 700 kpc after 10 4 Gyrs (three lines in increasing order for increasing time) assuming Keplerian potential of point masses. Three vertical lines indicate typical Local Group Halo mass, Baryonic mass in galaxy clusters, and most massive CDM halo masses. Three horizontal lines indicate the error bar of the speed of the X-ray "bullet" gas.
dataset/figures/0704_0094_kap.ps
Predicted bullet cluster convergence (rescaled for sources at infinity) along the line Y=0.3X+cst connecting our two potential centroids. The model predicts a lensing signal in between that of observed weak lensing data from sources at z_s=1(Clowe et al, lower end of error bars) and the united weak lensing and strong lensing (z_s=3) data (Bradc et al. upper part of error bars); the mismatch of these two datasets are presently unresolved.
dataset/figures/0704_0094_orb-.ps
The orbit of the bullet subcluster X-ray gas (red, with present V_gas=5400 for the 10 Gyrs in the past, and pink: for the future 4 Gyrs), and the orbits of the colliding main cluster halo (blue dashes) and subhalo (black dashes) in the potential (eqs. 8-10) determined by lensing data; dashes indicate length traveled in 0.5 Gyrs steps. No explicit assumption of gravity is needed for these calculations. Orbits with different present halo relative velocity V_DM and halo growth rate C are shown after a vertical shift for clarity. Timing requires the present cluster relative velocity in between 2800<V_DM<3000 for potentials of normal truncation (lowest panels where the cluster truncation grows from zero to C 10Gyr =1000), and 4200<V_DM<4750 for potentials with large truncation (two upper panels where the cluster truncation grows from zero to C 10 Gyr =10000).
dataset/figures/0704_0100_accumulation.eps
An example in which no smoothing procedure makes t|_H a Morse function on H. Here, the intersection of the crease set S of the event horizon and t=t_0 hypersurface has an accumulation point.
dataset/figures/0704_0100_isolation.eps
The smoothing procedure of the event horizon H. The gradient-like vector field on H can be constructed through a slight deformation of the null geodesic generators of H. Here, the effect of the crease set S has been replaced by that of the critical points p_1, p_2 and p_3.
dataset/figures/0704_0100_critical.eps
The local structure around the critical point p of index . It can be seen that H_t(p)+ is homeomorphic to H_t(p)- with a -handle attached.
dataset/figures/0704_0100_pot.eps
The attachment of a 1-handle and a 2-handle to a 3-manifold N creates a new 3-manifold N h^1 h^2.
dataset/figures/0704_0100_b0-handle.eps
The emergence of a black hole through a 0-handle attachment.
dataset/figures/0704_0100_w0-handle.eps
The emergence of a bubble in the black hole region by 0-handle attachment, which does not occur in the real black hole space-times.
dataset/figures/0704_0100_b1-handle.eps
The collision of a pair of black holes, creating a single black hole, is realized through 1-handle attachment.
dataset/figures/0704_0100_wn-1-handle.eps
The bifurcation of one black hole into two is represeted by an (n-1)-handle attachment. This, however, never occurs in real black hole space-times.
dataset/figures/0704_0100_handlebody.eps
The structure of -handle. The core D^\{0\} corresponds to the stable submanifold with respect to the flow generated by the gradient-like vector field, and the co-core \{0\} D^n- corresponds to the unstable submanifold.
dataset/figures/0704_0100_U.eps
The neighborhood U of p is separated by h^ into the future region, U^+, and the past region, U^-.
dataset/figures/0704_0100_bifurcate.eps
The figure on the left is a conformal diagram of the maximally extended Schwarzschild space-time. The structure of the event horizon defined with respect to the two asymptotic ends is depicted on the right, with one dimension omitted. The shaded region represents the black hole region at the critical time t=t(p). This corresponds to the 2-handle attachment, where the exterior region is separated into a pair of connected components.
dataset/figures/0704_0100_ring_formation.eps
Black ring formation from a spherical black hole must be non-axisymmetric in real black hole space-times.
dataset/figures/0704_0106_4q-0.eps
Lowest order and leading-twist contribution to semi-inclusive DIS.
dataset/figures/0704_0106_4q-qg.eps
A typical diagram for quark-gluon double scattering with three possible cuts [central(C), left(L) and right(R)].
dataset/figures/0704_0106_4q-d-0.eps
Diagram for leading order quark-antiquark annihilation with three possible cuts [central(C), left(L) and right(R)].
dataset/figures/0704_0106_4q-d-8.eps
The complex conjugate of Fig.~fig7.
dataset/figures/0704_0106_4q-Ex-1.eps
A typical diagram for next-to-leading order correction to quark-antiquark annihilation with three possible cuts [central(C), left(L) and right(R)].
dataset/figures/0704_0106_4q-d-1.eps
The t-channel of q q gg annihilation diagram with three possible cuts, central(C), left(L) and right(R).
dataset/figures/0704_0106_4q-d-5.eps
The interference between t and u-channel of q q gg annihilation.
dataset/figures/0704_0106_4q-d-14.eps
The s-channel of q q gg annihilation diagram with only a central-cut.
dataset/figures/0704_0106_4q-d-9.eps
The interference between t and s-channel of q q gg annihilation.
dataset/figures/0704_0106_4q-d-10.eps
The complex conjugate of Fig.~fig9.
dataset/figures/0704_0106_4q-d-13.eps
s-channel q q q_i q_i annihilation.
dataset/figures/0704_0106_4q-d-2.eps
t-channel qq_i( q_i) qq_i( q_i) scattering.
dataset/figures/0704_0106_4q-d-3.eps
Interference between s and t-channel of q q q q scattering
dataset/figures/0704_0106_4q-d-4.eps
The complex conjugate of Fig.~fig3.
dataset/figures/0704_0106_4q-d-21.eps
The interference between t and u-channel of identical quark-quark scattering qq qq.
dataset/figures/0704_0106_4q-d-7.eps
Interference between final-state gluon radiation from single and triple-quark scattering.
dataset/figures/0704_0109_figure1.eps
(Color online) Upper curve in each panel with numerals indicate the distribution of first, second, third, fourth etc nearest neighbor distances of SiNW(N) as cut from the ideal Si crystal, same for structure-optimized bare SiNW(N)(middle curve) and structure optimized H-SiNW(N) (bottom curve) for N=21, 57 and 81. Vertical dashed line corresponds to the distance of Si-H bond.
dataset/figures/0704_0109_figure2.eps
(Color online) Top and side views of optimized atomic structures of various SiNW(N)'s. (a) Bare SiNWs; (b) H-SiNWs; (c) single TM atom doped per primitive cell of H-SiNW (n=1); (d) H-SiNWs covered by n TM atom corresponding to n>1. E_c, E^_c, E_b, E^_b, E_G, and , respectively denote the average cohesive energy relative to free Si atom, same relative to the bulk Si, binding energy of hydrogen atom relative to free H atom, same relative to H_2 molecule, energy band gap and the net magnetic moment per primitive unit cell. Binding energies in regard to the adsorption of TM atoms, i.e. E_B, E^_B for n=1 and average values E_B, E^_B for n >1 are defined in the text and in Ref[binding]. The [001] direction is along the axis of SiNWs. Small, large-light and large-dark balls represent H, Si and TM atoms, respectively. Side views of atomic structure comprise two primitive unit cells of the SiNWs. Binding and cohesive energies are given in eV/atom.
dataset/figures/0704_0109_figure3.eps
(Color online) Band structure and spin-dependent total density of states (TDOS) for N=21, 25 and 57. Left panels: Semiconducting H-SiNW(N). Middle panels: Half-metallic H-SiNW(N)+TM. Right panels: Density of majority and minority spin states of H-SiNW(N)+TM. Bands described by continuous and dotted lines are majority and minority bands. Zero of energy is set to E_F.
dataset/figures/0704_0109_figure4.eps
(Color online) D(E,), density of minority (light) and D(E,), majority (dark) spin states. (a) H-SiNW(25)+Cr, n=8; (b) H-SiNW(25)+Cr, n=16. P and indicate spin-polarization and net magnetic moment (in Bohr magnetons per primitive unit cell), respectively.
dataset/figures/0704_0112_PHSS3_arxiv_1.eps
ETs for S=15, N=5,6,7 (nested skyboxes in blue) and ``fractal limit.''
dataset/figures/0704_0114_Fig1.eps
(Color online) Dimer pattern in the quantum disordered (VBS) phase, K/J > (K/J)_c.
dataset/figures/0704_0114_Fig2.eps
(Color online) Triplon excitation gap = ( k_AF) in various approximations. The point 0 corresponds to transition to the N\'eel phase.
dataset/figures/0704_0114_Fig3.eps
Renormalization of quantum fluctuations by resummation of a ladder series, with (interactionsy) at the vertices.
dataset/figures/0704_0114_Fig4.eps
(Color online) (a.) Singlet bound state energy E_s(black), binding energy = 2 - E_s(blue), and the triplon gap (red). (b.) Triplon density n_t. (c.) Dimer order parameters. Dashed parts of the lines represent points corresponding to rapid growth of the quasiparticle density.
dataset/figures/0704_0119_Fig1.eps
(a) The temperature dependence of electrical resistivity of CeAg_2Ge_2, inset shows the low temperature part, (b) Temperature dependence of the magnetic susceptibility together with inverse magnetic susceptibility plot, solid lines indicate the CEF fitting and (c) Magnetization of CeAg_2Ge_2 measured at T~=~2~K.
dataset/figures/0704_0119_Fig2.eps
(a) Temperature dependence of the specific heat of CeAg_2Ge_2 and LaAg_2Ge_2. The inset shows the magnetic entropy. (b) The field dependence of the specific heat of CeAg_2Ge_2 for the field applied along the easy axis of magnetization, namely [100].
dataset/figures/0704_0122_fig1.eps
Stereographic view of the spin current texture, displaying simultaneously the number and spin densities. The pancake (=0.2) is distorted and at the center the number density is depleted to give a doughnut like shape. g_d=0.2g. All spins lie in the x-y plane, i.e. a coplanar spin structure, circulating around the origin O. The length of the arrow is proportional to its number density. Inset shows the schematic spin configuration on z=0 plane.
dataset/figures/0704_0122_fig2.eps
The r-flare texture. Left (right) column shows the cross-sectional density plots of the particle number (the corresponding spin structure). The circular profile in the x-y plane is spontaneously broken. g_d=0.2g, =0.2.
dataset/figures/0704_0122_fig3.eps
Cross sections of the particle number in Fig. fig:rflare along the x and y-axis compared with Thomas-Fermi (TF) profile for g_d=0. The profile is elongated (compressed) along the x(y)-axis.
dataset/figures/0704_0122_fig4.eps
(a) The z-flare spin texture in the cigar trap along the z-axis. The spins almost point to the z direction. In the outer regions they bent. The bright region in background corresponds to high number density. g_d=0.2g, =5.0.(b) Schematic figure to explain this spin configuration due to d-d interaction.
dataset/figures/0704_0122_fig5.eps
(a) The two-z-flare spin texture under the same parameter set (g_d=0.2g, =5.0.) as in Fig. fig:zflare with different initial spin configuration. The bright region in background corresponds to high number density. (b) Schematic figure to explain this spin structure. At the z=0 plane two oppositely aligned spins meet and the number density is depleted.
dataset/figures/0704_0128_7530fig1.eps
2007), created using the software described in this paper and obtained from the
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