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Configuration schemes of {87}Rb hyperfine energy levels at D1 line (795nm) using write-in and readout respectively. Laser beams and scattered light detunings in both processes are also depicted. | |
(a) Experimental setup: write and read laser beams propagate forward to the intensified camera and the pump beam propagates backward. {87}Rb - atomic memory cell, {85}Rb - absorption filter, blue arrows correspond to scattered light. (b) Pulse sequence with long intensifier gate covers the whole write and a part of the... | |
Representative images of the retrieved field, write-in and read-out in upper and lower parts respectively. (a) Intensity map in a single shot obtained using a long gate in the linear regime of camera operation and (b) the average over $10^4$ frames. (c) Photon positions in a single shot <cit.> obtained using a short ga... | |
Average number of photon counts detected at a large solid angle around read beam per a gate duration of 250 ns for different readout laser detunings $\Delta_{R}$ from {87}Rb F=2 $\rightarrow$ F'=2 resonance. The curves represent exponential fits to the first and last data points. The size of errorbars is comparable wit... | |
Exponential decay and growth coefficients for scattered light found by fitting data as in Fig. <ref> versus read laser detuning $\Delta_{R}$. For triangle points the size of errorbars are smaller than the marker size. Inset: {87}Rb D1 line absorption spectrum with read and write laser frequencies marked. | |
(a) Spatial correlation maps for different read laser detunings from {87}Rb F=2 $\rightarrow$ F'=2 resonance. Red and green circles mark the respective areas where photons scattered at the write and read stages fell. (b) Correlation coefficients at the peaks corresponding to anti-Stokes $C_{\mathrm{WS,RA}}$ and Stokes ... | |
The effective gains of the anti-Stokes scattering $\eta_{\mathrm{W}}\eta_{\mathrm{R}}\bar{G}_{\mathrm{RA}}$ and the Stokes scattering $\eta_{\mathrm{W}}\eta_{\mathrm{R}}\bar{G}_{\mathrm{RS}}$. For the smallest detuning $\Delta_{R}$ absorption in rubidium cell starts to contribute. | |
Minimally invasive tissue sampling with a robot. The robot drives a biopsy needle into the corpse to the desired target. The physician can then take a biopsy sample while the robot holds the needle with our specially designed needle holder. A protective body bag reduces the risk of disease transmission. | |
Planning vs. Evaluation CT. Large tissue deformation as a result of a pneumothorax (red dashed line) that causes the anatomy to no longer correlate to the annotated targets. | |
Planning vs. Evaluation CT. Large tissue deformation as a result of a pneumothorax (red dashed line) that causes the anatomy to no longer correlate to the annotated targets. | |
Best path visualization module in 3D Slicer. The module segments the skin of the corpse and projects colormaps for various overlay types, e.g., bone density or distance to target onto the skin. The colors in this example indicate the maximum CT values along the needle insertion path. The module and its code can be down... | |
RPMB System Setup. Left: To prevent disease contamination, we place infectious corpses in body bags. A robot (LBR Med 14, KUKA) inserts biopsy needles into the corpse through the body bag. Top right: [A] Custom robot end effector for mounting a hollow guide needle in which we insert a co-axial needle. [B] A screw preve... | |
Histological examination. For each needle insertion, the acquired sample is characterized and compared to the desired target tissue in a histological examination (a). The employed biopsy sampling needle and biopsy samples are shown in (b). Biopsy samples | |
Upper panel: The $j_{\rm T}$-dependent jet fragmentation functions of charged particles for four $p_{\rm{T, jet}}$ ranges in p $+$ Pb collisions at $\sqrt{s_{\rm NN}} = 5.02~{\rm TeV}$ from the AMPT model with old (dashed curve) and new hadronization mechanisms (solid curve), compared to the ALICE data <cit.>. Bottom p... | |
Upper panel: The $j_{\rm T}$-dependent jet fragmentation functions of charged particles for four $p_{\rm{T, jet}}$ ranges in p $+$ Pb collisions at $\sqrt{s_{\rm NN}} = 5.02~{\rm TeV}$ from the coalescence and fragmentation parts in the new hadronization mechanism. Bottom panel: The contributions of the coalescence and... | |
The $j_{\rm T}$-dependent jet fragmentation function of charged particles for $60 < p_{\rm{T, jet}} < 80~{{\rm GeV}/c}$ in p $+$ Pb collisions at $\sqrt{s_{\rm NN}} = 5.02~{\rm TeV}$ from the AMPT model with the new hadronization mechanism, which is fitted by Eq. (<ref>) including both narrow and wide parts. | |
The RMS values for the narrow and wide parts for different hadronization mechanisms and their components in p $+$ Pb collisions at $\sqrt{s_{\rm NN}} = 5.02~{\rm TeV}$, compared to the ALICE data <cit.>. | |
Upper panel: The $j_{\rm T}$-dependent jet fragmentation functions of charged particles with three jet radii $R$ = 0.3, 0.4 and 0.5 for $60 < p_{\rm{T, jet}} < 80~{{\rm GeV}/c}$ in p $+$ Pb collisions at $\sqrt{s_{\rm NN}} = 5.02~{\rm TeV}$ from the AMPT model with old (dashed curve) and new hadronization (solid curve)... | |
The RMS values for the narrow and wide parts for jets with three jet radii $R$ from the AMPT model with old and new hadronization mechanisms in p $+$ Pb collisions at $\sqrt{s_{\rm NN}} = 5.02~{\rm TeV}$. | |
Top panels: The $j_{\rm T}$-dependent jet fragmentation functions of charged particles for four $p_{\rm{T, jet}}$ ranges in p $+$ p collisions at $\sqrt{s_{\rm NN}} = 5.02~{\rm TeV}$ from the AMPT model with old and new hadronization mechanisms, compared to the ALICE data <cit.>. Middle panels: Same as the top panels b... | |
(color online) Metric-adjusted complementarity chambers. (a) Chambers (green cones, with modified size and aspect ratio for ease of viewing) on the probability simplex with respect to the Fisher-Rao metric <cit.>. (b) Chambers on the state space of the real qubit with respect to the quantum Fisher information metric. E... | |
(color online) Information geometry of qubit observables. The largest green cone represents the complementarity chamber at the completely mixed state (cf. {fig:CompleChamber}). The two upward red cones represent the sets of hypothetical Fisher information matrices lower bounded by the Fisher information matrices of two... | |
Reflective dielectric cavity structure and $\rm V_B^-$ spin defect energy level structure. (a) Schematic diagram of the coplanar waveguide substrate of the dielectric cavity, obtained from the processing of the $\rm SiO_2$/Si substrate, and the sample is transferred to the top of the waveguide. (b) The sample is locate... | |
Optical properties of reflecting dielectric enhancement. (a) PL image of the spin defect array generated by helium ion implantation on an Al coplanar waveguide without a dielectric layer. (b) Spin defect array PL image on a 50-nm thick RDC. (c) The relative spectral intensities of different substrates under a 4 mW 532 ... | |
(a) The ODMR fitted data measured on the 0-nm RDC and 50-nm RDC. (b) The fluorescence lifetime on Si substrate and 50-nm RDC was measured. The solid lines are fitting results using $y=a*exp(-(t-b)/\tau)+c$, and the lifetimes are 0.825 ns and 0.787 ns, respectively, showing a weak Purcell effect. | |
(a) The effect of the dielectric layer on the Purcell effect of the dielectric cavity under a wide spectrum dipole light source. We considered the oxidation effect of the Al coplanar waveguide, and set the oxide layer to 5 nm of $\rm Al_2O_3$. The results show that the dielectric layer of 61 nm has the strongest Purcel... | |
Comparison of the classification accuracies between the bFBTRCA and mFBTRCA methods in the binary classification task. The abbreviations on the x-axis refer to the motion names; for instance, 'EE' is the abbreviation for elbow extension. The evaluation is based on the 21 motion pairs in dataset I. Accuracies are averag... | |
Relationship between the structure of bSTRCA and bFBTRCA. The STRCA in this figure is either the bSTRCA or the mSTRCA. Both bSTRCA and mSTRCA have two steps: spatial filtering and similarity measurement. The bFBTRCA or mFBTRCA is developed by applying bSTRCA/mSTRCA to multiple banks and enabling feature selection on th... | |
Structure of the mSTRCA method for the three-class classification problem. This structure can be extended to a classification model for $K$ classes, where $K \in \mathbb{Z}^{+}$. The optimization of the bSTRCA includes two main points. The first is the optimization of the spatial filter, which avoids the dimensional in... | |
Three-class classification performance comparison between the proposed mFBTRCA method and the state-of-the-art methods. The three classes in this figure are the motion pairs of limb movements and the $resting$ state. The labels on the x-axis represent the name of the motion pairs, and the name for the the $resting$ sta... | |
The mean of the classification accuracy of mSTRCA in datasets I and II. Dataset I includes the movement trajectory such that the movement onset can be located, but the same cannot be said for dataset II. The optimal number of eigenvectors in Fig. <ref> and Fig. <ref> is different. To explore the influence of the moveme... | |
The mean of the classification accuracy of mSTRCA in datasets I and II. Dataset I includes the movement trajectory such that the movement onset can be located, but the same cannot be said for dataset II. The optimal number of eigenvectors in Fig. <ref> and Fig. <ref> is different. To explore the influence of the moveme... | |
The mean of the classification accuracy of mSTRCA in datasets I and II. Dataset I includes the movement trajectory such that the movement onset can be located, but the same cannot be said for dataset II. The optimal number of eigenvectors in Fig. <ref> and Fig. <ref> is different. To explore the influence of the moveme... | |
Confusion matrices in the multi-class classification task classified by mFBTRCA. The values given here are the confusion matrices having been normalized by dividing by the summed-up values in each row. Statistics are averaged from all subjects and folds in each dataset. In the confusion matrix of dataset I, it can be o... | |
Confusion matrices in the multi-class classification task classified by mFBTRCA. The values given here are the confusion matrices having been normalized by dividing by the summed-up values in each row. Statistics are averaged from all subjects and folds in each dataset. In the confusion matrix of dataset I, it can be o... | |
Two-dimensional Pearson correlation between the grand average MRCPs of two motions in the multi-class classification task, classified using mFBTRCA. Statistics are averaged from all subjects and folds in each dataset. Because the sequence of two motions can be switched in the correlation calculation, the correlation ma... | |
Two-dimensional Pearson correlation between the grand average MRCPs of two motions in the multi-class classification task, classified using mFBTRCA. Statistics are averaged from all subjects and folds in each dataset. Because the sequence of two motions can be switched in the correlation calculation, the correlation ma... | |
(a) Schematic diagram of the twisted bilayer graphene placed on hBN substrate system. (b) Blue (red) line is the band structure of the twisted bilayer graphene with (without) inter-layer bias, the twist angle $\theta = 3^{\circ}$ . The band gap of the bottom layer is denoted as $\it \Delta$, and the bias-voltage induce... | |
(a) Schematic diagram of the twisted bilayer graphene placed on hBN substrate system. (b) Blue (red) line is the band structure of the twisted bilayer graphene with (without) inter-layer bias, the twist angle $\theta = 3^{\circ}$ . The band gap of the bottom layer is denoted as $\it \Delta$, and the bias-voltage induce... | |
(a) Schematic diagram of the twisted bilayer graphene placed on hBN substrate system. (b) Blue (red) line is the band structure of the twisted bilayer graphene with (without) inter-layer bias, the twist angle $\theta = 3^{\circ}$ . The band gap of the bottom layer is denoted as $\it \Delta$, and the bias-voltage induce... | |
Conductivity correction and magnetoconductivity plots. (a) Conductivity correction of the system at the Fermi energy $E_{F}$ = 42 meV without bias. The gap $\it \Delta$ is set to be 53 meV. The red solid line denotes the total correction, while the black, blue, and green dotted lines represent the contribution of the c... | |
Conductivity correction and magnetoconductivity plots. (a) Conductivity correction of the system at the Fermi energy $E_{F}$ = 42 meV without bias. The gap $\it \Delta$ is set to be 53 meV. The red solid line denotes the total correction, while the black, blue, and green dotted lines represent the contribution of the c... | |
Conductivity correction and magnetoconductivity plots. (a) Conductivity correction of the system at the Fermi energy $E_{F}$ = 42 meV without bias. The gap $\it \Delta$ is set to be 53 meV. The red solid line denotes the total correction, while the black, blue, and green dotted lines represent the contribution of the c... | |
Conductivity correction and magnetoconductivity plots. (a) Conductivity correction of the system at the Fermi energy $E_{F}$ = 42 meV without bias. The gap $\it \Delta$ is set to be 53 meV. The red solid line denotes the total correction, while the black, blue, and green dotted lines represent the contribution of the c... | |
(a) The phase diagram of the system with a twist angle of $\theta = 3^{\circ}$. The dotted box marks the double crossover region. (b) The phase diagram of the system with a twist angle of $\theta = 5^{\circ}$. The temperature is set to be $T/T^{*}$ = 0.01. | |
(a) The phase diagram of the system with a twist angle of $\theta = 3^{\circ}$. The dotted box marks the double crossover region. (b) The phase diagram of the system with a twist angle of $\theta = 5^{\circ}$. The temperature is set to be $T/T^{*}$ = 0.01. | |
(a) The Fermi surface of the system at a specific energy. To aid visualization, we shift the Fermi circles of the two valleys to the same center. The larger (smaller) circle corresponds to the Fermi surface of valley $\textbf{K}_{1}$ ($\textbf{K}_{2}$). $\textbf{k}_{1F}$ and $\textbf{k}_{2F}$ denote the Fermi wave vect... | |
(a) The Fermi surface of the system at a specific energy. To aid visualization, we shift the Fermi circles of the two valleys to the same center. The larger (smaller) circle corresponds to the Fermi surface of valley $\textbf{K}_{1}$ ($\textbf{K}_{2}$). $\textbf{k}_{1F}$ and $\textbf{k}_{2F}$ denote the Fermi wave vect... | |
(a) The Fermi surface of the system at a specific energy. To aid visualization, we shift the Fermi circles of the two valleys to the same center. The larger (smaller) circle corresponds to the Fermi surface of valley $\textbf{K}_{1}$ ($\textbf{K}_{2}$). $\textbf{k}_{1F}$ and $\textbf{k}_{2F}$ denote the Fermi wave vect... | |
(a) The Fermi surface of the system at a specific energy. To aid visualization, we shift the Fermi circles of the two valleys to the same center. The larger (smaller) circle corresponds to the Fermi surface of valley $\textbf{K}_{1}$ ($\textbf{K}_{2}$). $\textbf{k}_{1F}$ and $\textbf{k}_{2F}$ denote the Fermi wave vect... | |
Layer-wise MI and PIE scores for the BERT-large model on two example sentences. Three layers are depicted in each graph: the first layer (Layer 0), the middle layer (Layer 12), and the final layer (Layer 24). The diagonal of each matrix represents the PIE scores, while the off-diagonal represents the MI scores. Colors ... | |
Layer-wise MI and PIE scores for the BERT-large model on two example sentences. Three layers are depicted in each graph: the first layer (Layer 0), the middle layer (Layer 12), and the final layer (Layer 24). The diagonal of each matrix represents the PIE scores, while the off-diagonal represents the MI scores. Colors ... | |
Normalized layer effect for the BERT-large model across all 100 examples from the SST-2 dataset. The $x$-axis represents the layer index, and the y-axis displays the normalized layer effect. Shaded regions show 95% confidence intervals. Thresholds range from 0 to 1 in increments of 0.2. Left plot: normalized MI; Right ... | |
(a) Schematic of the experimental geometry. (b) Crystal structure of LiYF$_{4}$ in the tetragonal $ac$-plane (experimental $zy$-plane) with the Li$^{+}$ (green), Y$^{3+}$ (purple) and F$^{-}$ (grey) ions shown as spheres. The calculated $\mu^{+}$ stopping site (red) and associated structural distortion (described in th... | |
Experimental $\mu^{+}$ asymmetry for LiY$_{0.95}$Ho$_{0.05}$F$_{4}$ at $T=50$ K for both RF-on and RF-off, at excitation frequencies of (a) $\omega_{\rm on}/(2\pi)=550$ kHz and (b) $\omega_{\rm off}/(2\pi)=825$ kHz, together with those calculated for the F-$\mu$-F complex ($\mu$F$_{2}$) and the $\mu$F$_{2}$Li$_{2}$F$_{... | |
(a) Schematic drawing of degenerate LL energies of graphene. LL energy is $nE_M $, where $n=...-1,0,1,...$ is LL index and $E_M=\hbar v_F/\ell=26(B\textrm{[T]})^{1/2}\textrm{[meV]}$ is the characteristic energy scale of graphene LLs. (b) When an attractive localized potential is present LL energies split into discrete ... | |
Schematic display of probability density of anomalous states (small peak has width $R$ and broad peak $\ell$). (a) regularized Coulomb potential, (b) parabolic potential, and (c) Gaussian potential. Horizontal lines indicate the energy levels. (d) Energy splitting of $n=0$ (chiral) and $1$ (nonchiral) LLs is shown. Fil... | |
Wavefunction properties of impurity states $|0,-1/2 \rangle$ and $|1,1/2 \rangle$. Left column: s-wave radial functions $|\chi_{0,B}^{0}(r)|$ (dashed line) and $|\chi_{1,A}^{0}(r)|$ (solid line). Inset: p-wave radial functions $|\chi_{0,A}^{-1}(r)|$ (solid line) and $|\chi_{1,B}^{1}(r)|$ (dashed line). From (a) to (d) ... | |
Wavefunction properties of impurity states $|0,-1/2 \rangle$ and $|1,1/2 \rangle$. Left column: s-wave radial functions $|\chi_{0,B}^{0}(r)|$ (dashed line) and $|\chi_{1,A}^{0}(r)|$ (solid line). Inset: p-wave radial functions $|\chi_{0,A}^{-1}(r)|$ (solid line) and $|\chi_{1,B}^{1}(r)|$ (dashed line). From (a) to (d) ... | |
Wavefunction properties of impurity states $|0,-1/2 \rangle$ and $|1,1/2 \rangle$. Left column: s-wave radial functions $|\chi_{0,B}^{0}(r)|$ (dashed line) and $|\chi_{1,A}^{0}(r)|$ (solid line). Inset: p-wave radial functions $|\chi_{0,A}^{-1}(r)|$ (solid line) and $|\chi_{1,B}^{1}(r)|$ (dashed line). From (a) to (d) ... | |
Wavefunction properties of impurity states $|0,-1/2 \rangle$ and $|1,1/2 \rangle$. Left column: s-wave radial functions $|\chi_{0,B}^{0}(r)|$ (dashed line) and $|\chi_{1,A}^{0}(r)|$ (solid line). Inset: p-wave radial functions $|\chi_{0,A}^{-1}(r)|$ (solid line) and $|\chi_{1,B}^{1}(r)|$ (dashed line). From (a) to (d) ... | |
A single electron is in the $n=0$ LL. The LLs $n=-1,-2,...$ are all filled. | |
Bare impurity energies $\tilde{\epsilon}_{n,J}$ for $n=0$ and $1$ LL states (filled symbols). Energies corrected by self-energy correction $E_{n,J}$ (open symbols). (a) $V_I=-7.9E_M$ and $R=0.3\ell$. (b) $V_I=-2E_M$ and $R=\ell$. | |
Bare impurity energies $\tilde{\epsilon}_{n,J}$ for $n=0$ and $1$ LL states (filled symbols). Energies corrected by self-energy correction $E_{n,J}$ (open symbols). (a) $V_I=-7.9E_M$ and $R=0.3\ell$. (b) $V_I=-2E_M$ and $R=\ell$. | |
Scaled optical strength as a function of $E$ for transitions between chiral and nonchiral states ($n=0\rightarrow 1$). Open circles represent optical strengths of single particle transitions without many-body effects; the corresponding transitions are indicated as arrows in Fig.<ref>(d). Optical strengths renormalized ... | |
Scaled optical strength as a function of $E$ for transitions between chiral and nonchiral states ($n=0\rightarrow 1$). Open circles represent optical strengths of single particle transitions without many-body effects; the corresponding transitions are indicated as arrows in Fig.<ref>(d). Optical strengths renormalized ... | |
(a) Optical transition from a localized state of the filled $n=0$ LL to a localized state of the empty $n=1$ LL. (b) The self-energy is evaluated in a self-consistent HFA. Renormalized excitation energy is computed within a time-dependent self-consistent HFA including excitonic and depolarization effects. | |
Bare impurity energies $\tilde{\epsilon}_{n,J}$ of $n=0$ (chiral) and $1$ (nonchiral) LLs by the impurity (filled symbols). When the $n=0$ LL is completely filled these energies must be corrected by including self-energies $E_{n,J}$ (open symbols). (a) $V_I=-7.9E_M$ and $R=0.3\ell$. (b) $V_I=-2E_M$ and $R=\ell$. | |
Bare impurity energies $\tilde{\epsilon}_{n,J}$ of $n=0$ (chiral) and $1$ (nonchiral) LLs by the impurity (filled symbols). When the $n=0$ LL is completely filled these energies must be corrected by including self-energies $E_{n,J}$ (open symbols). (a) $V_I=-7.9E_M$ and $R=0.3\ell$. (b) $V_I=-2E_M$ and $R=\ell$. | |
Examples of electron configurations that serve as basis states of the Hamiltonian matrix. First, second, and third states are labeled by $J=-1/2$, $-3/2$, and $-5/2$, respectively (see Eq.(<ref>)). | |
The following quantities in the diagonal elements of the Hamiltonian matrix, see Eq.(<ref>), are plotted as a function of $J$: $\Sigma_{1,J}^X-\Sigma_{0,J}^X$ (circle), $\Sigma_{1,J}^H-\Sigma_{0,J}^H$ (square),$-E_{ex}$ (diamond), depolarization (triangle), and renormalization of the bare excitation energy $\Sigma_{1,J... | |
The following quantities in the diagonal elements of the Hamiltonian matrix, see Eq.(<ref>), are plotted as a function of $J$: $\Sigma_{1,J}^X-\Sigma_{0,J}^X$ (circle), $\Sigma_{1,J}^H-\Sigma_{0,J}^H$ (square),$-E_{ex}$ (diamond), depolarization (triangle), and renormalization of the bare excitation energy $\Sigma_{1,J... | |
Five eigenenergies obtained by diagonalizing $5\times5$ Hamiltonian matrix. Lowest bare impurity transition energy $\tilde{\epsilon}_{1,1/2}-\tilde{\epsilon}_{0,-1/2}$ (inverted triangle). Lowest transition energy in the diagonal approximation (diamond) Parameters are $V_I=-2E_M$ and $R=\ell$. | |
Scaled optical strength as a function of $E$ for transitions between chiral and nonchiral states ($n=0\rightarrow 1$). Open circles represent optical strengths of single particle transitions without many-body effects; the corresponding transitions are indicated as arrows in Fig.<ref>(d). In this figure a set of numbers... | |
Scaled optical strength as a function of $E$ for transitions between chiral and nonchiral states ($n=0\rightarrow 1$). Open circles represent optical strengths of single particle transitions without many-body effects; the corresponding transitions are indicated as arrows in Fig.<ref>(d). In this figure a set of numbers... | |
Figures (a) and (b) show initial/final state waiter examples respectively. In the initial state, the cups are empty and each guest has a preference for tea (T) or coffee (C). In the final state, the cups are facing up and are full with the guest's preferred drink. | |
Figures (a) and (b) show initial/final state waiter examples respectively. In the initial state, the cups are empty and each guest has a preference for tea (T) or coffee (C). In the final state, the cups are facing up and are full with the guest's preferred drink. | |
Chess initial/final state example. | |
Chess initial/final state example. | |
Relevancy (left), summary redundancy (mid), and summary local coherence (right) across increasing levels of document redundancy, over ArXiv (top row) and PubMed (bottom row) test set. Metric values are averaged over each document redundancy range. | |
Relevancy (left), summary redundancy (mid), and summary local coherence (right) across increasing levels of document redundancy, over ArXiv (top row) and PubMed (bottom row) test set. Metric values are averaged over each document redundancy range. | |
Sentence positions in source document for extracted summaries in the ArXiv (left) and PubMed (right) dataset. | |
Effect of proposition scoring strategy (Tree, Eigen, and Freq) on summary relevancy (ROUGE-L) over ArXiv (top row) and PubMed (bottom row), for TreeKvD (left column) and GraphKvD (right column) systems, across values of working memory capacity . | |
Distribution of summary length -from top to bottom- of gold summaries (top row), the extractive oracle, TreeKvD with a greedy selector, and TreeKvD with the Knapsack selector. Red line denotes the budget. | |
Top to bottom: a random SDSS QSO spectrum with $m_r=21$ mag, multiplied by 0.3 (black), a stack of $70\,000$ spectra with a median color excess of $\mathrm{E}(B-V)=0.05$ mag (blue dotted), a stack of the entire SDSS sample (blue dashed), and a simulated DIB spectrum (blue). | |
Example fit for the 5780.6 Å DIB. Black line is the stacked spectrum, coloured lines are the individual Gaussian components. The horizontal grey line represents the limits of the fitting range as defined in section <ref>, and the red dashed line is our fit: a sum of all the Gaussians. | |
Right: 4 representative examples of synthetic lines (out of the 10 000 we simulate) in a typical color-excess bin (black), and best fitting Gaussian function (blue). Left: the EW of the lines vs. $\mathrm{E}(B-V)$. The black data points are the measured EW, blue lines are the best linear fit for different continuum lev... | |
Left panel - median spectrum at a typical E(B-V) value (black), the Gaussian fit for the single DIB (blue), and full fit including other components (red dashed). Right panel - measured EW vs. $\mathrm{E}(B-V)$ (blue data points), the best linear fit we deduced (green solid) and the slopes F11 and K13 deduced ($\zeta$ a... | |
Same as Figure <ref> for 4 additional DIBs. | |
DIB EW - 5780.6 Å (top) and 5797.1 Å (bottom) - versus atomic EW - Na I D1 and D2 (left) and Ca II H&K (right). Lines are the best linear fit for the different components. | |
Top: number of spectra per 3.35 deg$^2$ pixel. The red and green circles represent the coordinates of the stars used by K13 and F11 respectively. Bottom: sky map after grouping in order to reach sufficient S/N. Groups have a typical area of 20-40 deg$^2$. | |
Top: number of spectra per 3.35 deg$^2$ pixel. The red and green circles represent the coordinates of the stars used by K13 and F11 respectively. Bottom: sky map after grouping in order to reach sufficient S/N. Groups have a typical area of 20-40 deg$^2$. | |
Average color excess of every group (top), and relative scatter in each group (bottom; $\sigma/\mathrm{mean}$). The majority of groups are rather uniform, with a color excess that varies by less than 20 percent. | |
Average color excess of every group (top), and relative scatter in each group (bottom; $\sigma/\mathrm{mean}$). The majority of groups are rather uniform, with a color excess that varies by less than 20 percent. | |
EW residual map for the DIBs 5780.6 Å(top) and 5797.1 Å (bottom) normalised by the uncertainty in the residual. For a given color excess we calculate the divergence of the EW from the expected EW$_e$ - which is based on the whole-sky determination in section <ref> - the normalized residual is thus $(\mathrm{EW}-\math... | |
EW residual map for the DIBs 5780.6 Å(top) and 5797.1 Å (bottom) normalised by the uncertainty in the residual. For a given color excess we calculate the divergence of the EW from the expected EW$_e$ - which is based on the whole-sky determination in section <ref> - the normalized residual is thus $(\mathrm{EW}-\math... | |
EW residual map for the DIBs 5780.6 Å(top) and 5797.1 Å (bottom). For a given color excess we calculate the divergence of the EW from the expected EW$_e$ - which is based on the whole-sky determination in section <ref> - the normalized residual is thus $(\mathrm{EW}-\mathrm{EW}_e)/\mathrm{EW}_e$. | |
EW residual map for the DIBs 5780.6 Å(top) and 5797.1 Å (bottom). For a given color excess we calculate the divergence of the EW from the expected EW$_e$ - which is based on the whole-sky determination in section <ref> - the normalized residual is thus $(\mathrm{EW}-\mathrm{EW}_e)/\mathrm{EW}_e$. | |
Same as figure <ref> for the DIBs 6204.3 Å (top), and 6613.7 Å (bottom). | |
Same as figure <ref> for the DIBs 6204.3 Å (top), and 6613.7 Å (bottom). |
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