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docs/_build/html/2505.07932.md

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<div id="title">
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# Lyman-Break Galaxies in the Mpc-Scale Environments Around Three $z\sim 7.5$ Quasars With JWST Imaging
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<div id="comments">
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[![arXiv](https://img.shields.io/badge/arXiv-2505.07932-b31b1b.svg)](https://arxiv.org/abs/2505.07932)<mark>Appeared on: 2025-05-14</mark> - _31 Pages, 10 Figures, Accepted by ApJ_
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</div>
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<div id="authors">
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M. Pudoka, et al. -- incl., <mark>E. Bañados</mark>, <mark>S. Belladitta</mark>, <mark>J. Wolf</mark>
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</div>
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<div id="abstract">
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**Abstract:** We study the Mpc-scale environments of the three highest redshift luminous quasars at $z\geq 7.5$ (J031343.84-180636.40, J134208.11+092838.61, and J100758.27+211529.21) to understand their connection to large-scale structure. Cosmological simulations show that these early supermassive black holes (SMBHs) are expected to form in the most massive dark matter halos. Therefore, it is expected that they are anchors of galaxy overdensities if luminous matter traces the underlying dark matter structure of the Universe. Using JWST NIRCam (F090W/F115W/F250M/F360M/F430M)imaging, we observe the large-scale structure out to $\sim13$ comoving Mpc around these quasars. We select F090W-dropout Lyman Break galaxies (LBGs) and F430M-excess [ $\ion{O}{3}$ ] emitters in the three fields. We find 18, 21, and 6LBG candidates in the fields of J0313, J1342, and J1007, respectively, resulting in a wide range of overdensities ( $1+\delta \sim 19, 24,$ and $7$ ). The photometric redshifts indicate serendipitous foreground and background overdensities in the J0313 field. The joint angular autocorrelation of the combined LBG sample shows significant clustering on $<1.8$ comoving Mpc scales, demonstrating that the selected galaxies are likely associated with the large-scale structure surrounding the quasars. This first systematic study of $z\sim 7.5$ quasars shows a diverse set of quasar environments at the onset of their formation, providing empirical data to help constrain theoretical predictions of early structure formation.
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</div>
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<div id="div_fig1">
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<img src="tmp_2505.07932/./cutouts/cutout_J0313_586.png" alt="Fig4.1" width="20%"/><img src="tmp_2505.07932/./cutouts/cutout_J0313_734.png" alt="Fig4.2" width="20%"/><img src="tmp_2505.07932/./cutouts/cutout_J0313_1554.png" alt="Fig4.3" width="20%"/><img src="tmp_2505.07932/./cutouts/cutout_J0313_1555.png" alt="Fig4.4" width="20%"/><img src="tmp_2505.07932/./cutouts/cutout_J0313_2075.png" alt="Fig4.5" width="20%"/>
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**Figure 4. -** Cutouts of each selected LBG candidate. Each panel is a $2\times2$ arcminute cutout in the F090W, F115W, F250M, F360M, and F430M filters from left to right with magnitudes shown in the top left of each panel (a red background means it is not detected and replaced by the $2\sigma$ limit). Crosshairs are to guide the eye and each cutout color is normalized separately to account for the large dynamical range of flux in each filter. (*fig:cut1*)
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</div>
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<div id="div_fig2">
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<img src="tmp_2505.07932/./ACF_combine_fields_revised.png" alt="Fig3" width="100%"/>
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**Figure 3. -** The Landy-Szalay estimated angular ACF for the combined fields shown as blue markers. Errors along the x-axis are the bin sizes while y-axis errors show the Poisson errors described in the text. Open circles show the ACF for randomly distributed sources within the field consistent with zero. The solid blue line shows the MCMC fit within the constrained bin range excluding the largest and smallest bins ($\beta=1.5$) while the dashed section shows the fit results extrapolated to the full range of the data. The shaded regions represents the 16th and 84th percentiles of the posterior distribution of $A_{\omega}$. In magenta is the same best fit keeping $\beta = 0.8$. (*fig:acfplot*)
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</div>
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<div id="div_fig3">
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<img src="tmp_2505.07932/./template_dropout.png" alt="Fig12" width="100%"/>
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**Figure 12. -** _Left:_ Transmission curves of the NIRCam filters used in this analysis are shaded in grey with the rest-optical spectrum of a galaxy selected from the JAGUAR suite of galaxy templates redshifted to $z=7.5$ is shown in blue. The three black vertical ticks show the H$\beta$ line and [$\ion${O}{3}] doublet from left to right. In magenta is a representative L-type brown dwarf from the Sonora brown dwarf models with $T_{\rm eff} = 1100$ K and (F090W-F115W, F115W-F250M)$=(2.03, -2.41)$. _Right:_ Color vs redshift for the JAGUAR galaxy templates from $z=6$ to $z=9$ calculated using the reported F090W and F115W fluxes in the catalog taking into account the image depths. Using only galaxy templates that are detected in F115W, the blue shaded region shows the 1$\sigma$ spread in color values in bins containing an equal number of galaxies. The solid line shows the average value in each bin. The grey region shows the dropout selection criteria of F090W-F115W$>$1.5 while the black dashed line shows F090W-F115W=2 discussed in the text. (*fig:dropout*)
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</div><div id="qrcode"><img src=https://api.qrserver.com/v1/create-qr-code/?size=100x100&data="https://arxiv.org/abs/2505.07932"></div>

docs/_build/html/2505.07959.md

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# Impact of stellar winds on the pair-instability supernova rate
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</div>
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<div id="comments">
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[![arXiv](https://img.shields.io/badge/arXiv-2505.07959-b31b1b.svg)](https://arxiv.org/abs/2505.07959)<mark>Appeared on: 2025-05-14</mark> - _12 pages, 10 figures, 2 tables. Comments welcome_
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</div>
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<div id="authors">
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F. Simonato, et al. -- incl., <mark>S. Torniamenti</mark>
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</div>
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<div id="abstract">
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**Abstract:** Very massive stars (VMSs, $M_{\star}$ $\geq$ 100 M $_{\odot}$ ) play a crucial role in several astrophysical processes. At low metallicity, they might collapse directly into black holes, or end their lives as pair-instability supernovae. Recent observational results set an upper limit of $0.7 \mathrm{ yr}^{-1} \mathrm{ Gpc}^{-3}$ on the rate density of pair-instability supernovae in the nearby Universe. However, most theoretical models predict rates exceeding this limit. Here, we compute new VMS tracks with the mesa code, and use them to analyze the evolution of the (pulsational) pair-instability supernova rate density across cosmic time. We show that stellar wind models accounting for the transition between optically thin and thick winds yield a pair-instability supernova rate $\mathcal{R}_{\mathrm{PISN}}\sim 0.1$ Gpc $^{-3}$ yr $^{-1}$ at redshift $z\sim 0$ , about two orders of magnitude lower than our previous models. We find that the main contribution to the pair-instability supernova rate comes from stars with metallicity $Z\sim 0.001-0.002$ . Stars with higher metallicities cannot enter the pair-instability supernova regime, even if their zero-age main sequence mass is up to 500 M $_\odot$ . The main reason is that VMSs enter the regime for optically thick winds during the main sequence at metallicity as low as $Z\sim{4}\times 10^{-4}$ . This enhances the mass loss rate, quenching the growth of the He core and thus preventing the onset of pair-instability in later evolutionary stages. This result highlights the critical role of mass loss in shaping the final fate of very massive stars and the rate of pair-instability supernovae.
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<img src="tmp_2505.07959/./Figure/contour_sv_pc.png" alt="Fig2" width="100%"/>
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**Figure 2. -** Contour plot showing the He core masses at the end of the He burning for our mesa tracks adopting \protect\citetalias{Sabhahit2023} winds as a function of the metallicity and ZAMS mass. The white lines highlight the levels at $32 \protect\text{M}_{\odot}$, $ 64 \protect\text{ M}_{\odot}$ and $135 \protect\text{ M}_{\odot}$, which set the boundaries to have PPISNe, PISNe, and direct collapse via photodisintegration. (*fig:He_mass_cont*)
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<img src="tmp_2505.07959/./Figure/pisn_rate_density_new_2.png" alt="Fig9" width="100%"/>
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**Figure 9. -** PISN (upper panels) and PPISN (lower panels) rate density evolution as a function of redshift.
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The left-hand and right-hand plots show the results obtained with the new wind model by \protect\citetalias{Sabhahit2023} and the one by \protect\citetalias{Chen2015}, respectively. The black thick line represents the total rate density, whereas the colored lines show the contribution of individual metallicities from $Z = 1 \times 10^{-4}$(violet solid line) to $Z = 2 \times 10^{-2}$(dashed yellow line). (*fig:pisn_new*)
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<img src="tmp_2505.07959/./Figure/contour_sv_pc_old.png" alt="Fig3" width="100%"/>
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**Figure 3. -** Same as Fig. \ref{fig:He_mass_cont}, but for models \protect\citetalias{Chen2015}. (*fig:He_mass_cont_old*)
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</div><div id="qrcode"><img src=https://api.qrserver.com/v1/create-qr-code/?size=100x100&data="https://arxiv.org/abs/2505.07959"></div>

docs/_build/html/2505.08002.md

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# JWST Observations of Young protoStars (JOYS): Overview of program and early results
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[![arXiv](https://img.shields.io/badge/arXiv-2505.08002-b31b1b.svg)](https://arxiv.org/abs/2505.08002)<mark>Appeared on: 2025-05-14</mark> - _47 pages, 28 + 7 figures, A&A, in press_
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</div>
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<div id="authors">
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E. v. Dishoeck, et al. -- incl., <mark>H. Beuther</mark>, <mark>C. Gieser</mark>, <mark>G. Perotti</mark>, <mark>T. Henning</mark>
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</div>
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<div id="abstract">
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**Abstract:** The embedded phase of star formation is a crucial period in the development of a young star as the system still accretes matter, emerges from its natal cloud assisted by powerful jets and outflows, and forms a disk setting the stage for the birth of a planetary system. Mid-infrared spectral line observations, now possible with unprecedented sensitivity, spectral resolution and sharpness with the $_ James Webb Space Telescope_$ (JWST), are key for probing many of the physical and chemical processes on sub-arcsecond scales that occur in highly extincted regions, providing unique diagnostics and complementing millimeter observations. The JWST Observations of Young protoStars (JOYS) program aims to address a wide variety of questions, ranging from protostellar accretion and the nature of primeval jets, winds and outflows, to the chemistry of gas and ice in hot cores and cold dense protostellar environments, and the characteristics of the embedded disks. We introduce the program and show representative JOYS results. JWST Mid-InfraRed Instrument (MIRI) Medium Resolution Spectrometer (MRS) Integral Field Unit (IFU) 5--28 $\mu$ m maps of 17 low-mass targets (23 if binary components counted individually) and 6 high-mass protostellar sources are taken with resolving powers $R=\lambda/\Delta \lambda=1500-4000$ . Small mosaics ranging from $1\times 1$ to $3\times 3$ MRS tiles cover $\sim 4"$ to $20"$ fields of view, providing spectral imaging on spatial scales down to $\sim$ 30 au (low mass) and $\sim$ 600 au (high mass). For HH 211, the complete $\sim 1'$ blue outflow lobe has been mapped with the MRS. Atomic lines are interpreted with published shock models, whereas molecular lines are analyzed with simple rotation diagrams and LTE slab models. The importance of taking infrared pumping into account is stressed. Inferred abundance ratios are compared with detailed hot core chemical models including X-rays. Ice spectra are fitted through comparison with laboratory spectra. The JWST MIRI-MRS spectra show a wide variety of features, with their spatial distribution providing insight into their physical origin. Atomic line maps differ among refractory (e.g., Fe), semi-refractory (e.g., S) and volatile elements (e.g., Ne), and are linked to their different levels of depletion and local (shock) conditions. Jets are prominently seen in lines of [ Fe II ] and other refractory elements whereas the pure rotational $H_2$ lines probe hot ( $\sim 1000$ K) and warm (few $\times 10^2$ K) gas inside the cavity, associated with jets, outflows and cavity walls, for both low- and high-mass sources. Wide-angle winds are found in low- $J$ $H_2$ lines. Nested, stratified jet structures consisting of an inner ionized core with an outer molecular layer are commonly seen in the youngest sources. [ S I ] follows the jet as seen in [ Fe II ] in the youngest protostars, but is different in more evolved sources where it is concentrated on source. Noble gas lines such as [ Ne II ] 12.8 $\mu$ m reveal a mix of jet shock and photoionized emission. H I recombination lines serve as a measure of protostellar accretion rates, but are also associated with more extended jets. Gaseous molecular emission ($CO_2$ , $C_2$ $H_2$ , HCN, $H_2$ O, $CH_4$ , $SO_2$ , SiO) is seen toward several sources, but is cool compared with what is found in more evolved disks, with excitation temperatures of only 100--250 K, and likely associated with the warm inner envelopes ("hot cores") . $CO_2$ is often extended along the outflow, in contrast with $C_2$ $H_2$ which is usually centered on source. Water emission is commonly detected on source even if relatively weak; off source it is seen only in the highest density shocks such as associated with NGC 1333 IRAS4B. Some sources show gaseous molecular lines in absorption, including $NH_3$ in one case. Deep ice features are seen toward the protostars, revealing not just the major ice components but also ions (as part of salts) and complex organic molecules, with comparable abundances from low- to high-mass sources. Relative abundances of some gas and ice species are similar, consistent with ice sublimation in hot cores. A second detection of HDO ice in a solar-mass source is presented, with an HDO/$H_2$ O ice ratio of $\sim$ 0.4 \% , providing a link with HDO/$H_2$ O in disks and comets. A deep search for solid $O_2$ suggests that it is not a significant oxygen reservoir. Only few embedded Class I disks show the same forest of water lines as Class II disks do, possibly caused by significant dust extinction of the upper layers due to limited growth and settling of dust to the midplane in young disks as well as radial drift bringing in small dust. This paper illustrates the many different science questions that a single MIRI-MRS IFU data set can address, with significant similarities between low- and high-mass sources. Large source samples across evolutionary stages and luminosities are needed to further develop these diagnostics of the physics and chemistry of protostellar systems.
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<img src="tmp_2505.08002/./JOYS_Fig2a.png" alt="Fig29.1" width="50%"/><img src="tmp_2505.08002/./JOYS_Fig2b.png" alt="Fig29.2" width="50%"/>
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**Figure 29. -** JWST MIRI-MRS spectrum of the low-mass Class 0 protostars
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B1-c (top) and Serpens SMM3 (bottom) illustrating the different
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molecular gas (red) and ice (blue) features that can be observed and
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analyzed, tracing different components of the protostellar
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system. The inserts in the B1-c spectrum aim to highlight the
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gas-phase molecular lines in this source. Atomic emission lines are
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present but not very strong in this source. In
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contrast, both $H_2$ and atomic emission lines are very prominent
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for Serpens SMM3 (bottom). At the bottom of the silicate feature at
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10 $\mu$m, close to the noise limit, the spectra have been binned by
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a factor of 4 to enhance the $S/N$. See Fig. B.3 and B.11 of
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\citet{vanGelder24overview} for individual MIRI-MRS sub-bands. (*fig:B1c-overview*)
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<img src="tmp_2505.08002/./JOYS_Fig1.png" alt="Fig1" width="100%"/>
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**Figure 1. -** Cartoon of a protostellar source with the various physical
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components studied in this work indicated. (*fig:protostar-cartoon*)
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<img src="tmp_2505.08002/./JOYS_Fig10.png" alt="Fig8" width="100%"/>
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**Figure 8. -** MIRI-MRS maps of the various $H_2$ lines toward the Class 0
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protostar Serpens SMM3. The white contours in the top left panel
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indicate the dust disk seen in millimeter continuum. The red and
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blue circles on the S(4) image indicate the positions where the
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$H_2$ spectra and rotational diagrams have been extracted. Note that
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the S(3) image at 9.66 $\mu$m is strongly affected by silicate
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extinction, and the S(5) line at 6.9 $\mu$m by ice extinction, hence
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their maps are more noisy. Beam sizes are indicated in the lower
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left corner of each panel. Each panel is scaled to the maximum
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emission of that species. The maximum and minimum colors are (in Jy
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km s$^{-1}$), from top left to bottom right: S(8) (0.008, 0.003);
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S(7) (0.033, 0.007); S(6) (0.013, 0.003); S(5) (0.026, 0.003); S(4)
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(0.089, 0.009); S(3) (0.035, 0.005); S(2) (0.090, 0.009); S(1)
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(0.084, 0.008). (*fig:SMM3H2*)
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</div><div id="qrcode"><img src=https://api.qrserver.com/v1/create-qr-code/?size=100x100&data="https://arxiv.org/abs/2505.08002"></div>

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