http://arxiv.org/abs/2305.01672

The motion of an observer in the rest frame of the cosmic 21-cm background induces an anisotropy in the observed background, even when the background is isotropic. The induced anisotropy includes a dipole and a quadrupole, in the order decreasing in amplitude. If observed, these multipole anisotropies can be used as additional probes of the spectral shape of the global 21-cm background for mitigating the ambiguity in the monopole spectrum probed by single-element radio telescopes such as EDGES and SARAS. This could also help with understanding the astrophysical and cosmological processes that occurred during the cosmic dawn and the epoch of reionization, and even improving on the estimation of the solar velocity and the foreground spectra. Here, we study the feasibility of such observations and present science drivers for the measurement of the 21-cm dipole and quadrupole.

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S. Hotinli and K. Ahn
Thu, 4 May 23
25/60

Comments: 14+4 pages, 7 figures. Submitted to ApJ. Comments welcome

http://arxiv.org/abs/2305.02318

We demonstrate that the Peccei-Quinn-electromagnetic anomaly coefficient $\mathcal A$ can be directly measured from axion string-induced cosmic birefringence by applying scattering transform to the anisotropic polarization rotation of the cosmic microwave background. This breaks the degeneracy between $\mathcal A$ and the effective number of string loops in traditional inference analyses that are solely based on the spatial power spectrum of polarization rotation. Carrying out likelihood-based parameter inference on mock rotation realizations generated according to phenomenological string network models, we show that scattering transform is able to extract enough non-Gaussian information to clearly distinguish a number of discrete $\mathcal A$ values, for instance $\mathcal{A}=1/9,\,1/3,\,2/3$, in the ideal case of noise-free rotation reconstruction, and, to a lesser but interesting degree, at reconstruction noise levels comparable to that expected for the proposed CMB-HD concept. In the event of a statistical detection of cosmic birefringence by Stage III or IV CMB experiments, our technique can be applied to test the stringy nature of the birefringence pattern and extract fundamental information about the smallest unit of charge in theories beyond the Standard Model.

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W. Yin, L. Dai and S. Ferraro
Thu, 4 May 23
28/60

Comments: N/A

http://arxiv.org/abs/2305.01943

We extract the galaxy density and momentum power spectra from a subset of early-type galaxies in the SDSS DR7 main galaxy catalog. Using galaxy distance information inferred from the improved fundamental plane described in Yoon et al. (2020), we reconstruct the peculiar velocities of the galaxies and generate number density and density-weighted velocity fields, from which we extract the galaxy density and momentum power spectra. We compare the measured values to the theoretical expectation of the same statistics, assuming an input $\Lambda$CDM model and using a third-order perturbative expansion. After validating our analysis pipeline with a series of mock data sets, we apply our methodology to the SDSS data and arrive at constraints $f \sigma_{8} = 0.485_{-0.083}^{+0.075} $ and $b_{1}\sigma_{8} = 0.883_{-0.059}^{+0.059}$ at a mean redshift $\bar{z} = 0.043$. Our result is consistent with the Planck cosmological best fit parameters for the $\Lambda$CDM model. The momentum power spectrum is found to be strongly contaminated by small scale velocity dispersion, which suppresses power by $\sim {\cal O}(30\%)$ on intermediate scales $k \sim 0.05 \, h \, {\rm Mpc}^{-1}$.

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S. Appleby, M. Tonegawa, C. Park, et. al.
Thu, 4 May 23
32/60

Comments: 12 figures, 3 tables

http://arxiv.org/abs/2305.02268

Cosmic birefringence is a parity-violating effect that might have rotated the plane of linearly polarized light of the cosmic microwave background (CMB) by an angle $\beta$ since its emission. This has recently been measured to be non-zero at a statistical significance of $3.6\sigma$ in the official Planck PR4 and 9-year WMAP data. In this work, we constrain $\beta$ using the reprocessed BeyondPlanck LFI and Cosmoglobe DR1 WMAP polarization maps. These novel maps have both lower systematic residuals and a more complete error description than the corresponding official products. Foreground $EB$ correlations could bias measurements of $\beta$, and while thermal dust $EB$ emission has been argued to be statistically non-zero, no evidence for synchrotron $EB$ power has been reported. Unlike the dust-dominated Planck HFI maps, the majority of the LFI and WMAP polarization maps are instead dominated by synchrotron emission. Simultaneously constraining $\beta$ and the polarization miscalibration angle, $\alpha$, of each channel, we find a best-fit value of $\beta=0.35^{\circ}\pm0.70^{\circ}$ with LFI and WMAP data only. When including the Planck HFI PR4 maps, but fitting $\beta$ separately for dust-dominated, $\beta_{>70\,\mathrm{GHz}}$, and synchrotron-dominated channels, $\beta_{\leq 70\,\mathrm{GHz}}$, we find $\beta_{\leq 70\,\mathrm{GHz}}=0.53^{\circ}\pm0.28^\circ$. This differs from zero with a statistical significance of $1.9\sigma$, and the main contribution to this value comes from the LFI 70 GHz channel. While the statistical significances of these results are low on their own, the measurement derived from the LFI and WMAP synchrotron-dominated maps agrees with the previously reported HFI-dominated constraints, despite the very different astrophysical and instrumental systematics involved in all these experiments.

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J. Eskilt, D. Watts, R. Aurlien, et. al.
Thu, 4 May 23
59/60

Comments: 10 pages, 7 figures, 2 tables. Submitted to A&A

http://arxiv.org/abs/2305.01224

Symbolic expressions for cosmic backreaction and mean redshift drift in a range of 2-region models in terms of average quantities are presented. The demonstration that these expressions can be obtained constitutes the opening of a new avenue towards understanding the effects of cosmic backreaction in our universe: With a symbolic expression for the redshift drift at hand, the redshift drift can be used to constrain cosmological parameters including the large-scale expansion rate and backreaction. In addition, by introducing symbolic expressions for cosmic backreaction, this quantity can be constrained with observations such as redshift-distance measures.

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S. Koksbang
Wed, 3 May 23
6/67

Comments: 6 pages, 3 captioned figures. Accepted for publication in PRL

http://arxiv.org/abs/2305.01223

The possibility of obtaining symbolic expressions for cosmic backreaction is explored through a case study of so-called 2-region models. By using the publicly available symbolic regression algorithm AI Feynman, it is shown that the kinematical backreaction from a single 2-region model can be well described as a function of the mean redshift (or, equivalently, the volume averaged scale factor). A single expression depending on the redshift/scale factor as well as a model parameter, $f$, that can accurately describe the backreaction for a significant range of models is naturally more complicated but is also achieved with percent-level accuracy. \newline\indent Data sets of redshift drift in the 2-region models are also considered. Again utilizing AI Feynman, expressions for the redshift drift are found. In particular, an expression for the difference between the mean redshift drift and the drift of the mean redshift in terms of the kinematical backreaction is easily obtained for a single 2-region model. An accurate symbolic expression that describes this difference for an array of 2-region models is achieved by using the redshift as a feature instead of the kinematical backreaction.

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S. Koksbang
Wed, 3 May 23
9/67

Comments: 20 pages incl. 16 captioned figures. Accepted for publication in PRD

http://arxiv.org/abs/2305.01127

Using Low Brightness Surface Galaxies (LBSG) rotational curves we inferred the free parameters of $\ell$-boson stars as a dark matter component. The $\ell$-boson stars are numerical solutions to the non-relativistic limit of the Einstein-Klein-Gordon system, the Schr\”odinger-Poisson (SP) system. These solutions are parametrized by an angular momentum number $\ell = (N-1)/2$ and an excitation number $n$. We perform a bayesian analysis by modifying the SimpleMC code to perform the parameter inference, for the cases with $\ell = 0$, $\ell = 1$ and multistates of $\ell$-boson stars. We used the Akaike information criterion (AIC), Bayesian information criterion and the Bayes factor to compare the excited state ($\ell$=1) and the multistate case with the ground state ($\ell$=0) as the base model due to its simplicity. We found that the data in most galaxies in the sample favours the multistates case and that the scalar field mass tends to be slightly bigger than the ground state case.

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A. Navarro-Boullosa, A. Bernal and J. Vazquez
Wed, 3 May 23
22/67

Comments: 14 pages, 9 Figures

http://arxiv.org/abs/2305.01584

Constraining cosmological parameters from large-scale structure observations requires precise and accurate tools to compute its properties. While perturbation theory (PT) approaches can serve this purpose, exploration of large parameter space is challenging due to the potentially large computational cost of such calculations. In this study, we show that a response function approach applied to the regularized PT (RegPT) model at the 2-loop order, plus correction terms induced by redshift space distortion effects, can reduce the runtime by a factor of 50 compared to direct integration. We illustrate the performance of this approach by performing the parameter inference of five fundamental cosmological parameters from the redshift space power spectrum measured from $N$-body simulations as mock measurements, and inferred cosmological parameters are directly compared with parameters used to generate initial conditions of the simulations. From this \textit{PT challenge} analysis, the constraining power of cosmological parameters and parameter biases are quantified with the survey volume and galaxy number density expected for the \textit{Euclid} mission at the redshift $z=1$ as a function of the maximum wave-number of data points $k_\mathrm{max}$. We find that RegPT with correction terms reproduces the input cosmological parameters without bias up to maximum wave-number $k_\mathrm{max} = 0.18 \, h\,\mathrm{Mpc}^{-1}$. Moreover, RegPT+, which introduces one free parameter to RegPT to handle the damping feature on small scales, delivers the best performance among the examined models and achieves tighter constraints without significant parameter bias for higher maximum wave-number $k_\mathrm{max} = 0.21 \, h\,\mathrm{Mpc}^{-1}$.

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K. Osato, T. Nishimichi, A. Taruya, et. al.
Wed, 3 May 23
41/67

Comments: 34 pages, 21 figures, submitted to PRD, codes will be available at this https URL

http://arxiv.org/abs/2305.01587

This paper presents an analysis of XMM X–ray spectra of the quasar 1ES 1553+113, in search for absorption lines from the intervening warm–hot intergalactic medium. A search for OVII, OVIII and NeIX resonance absorption lines was performed at eight fixed redshifts that feature OVI or HI broad Lyman–$\alpha$ absorption lines that were previously detected from HST data. The search yielded one possible detection of OVII at a redshift z=0.1877 with an OVI prior, with a statistical significance that is equivalent to a 2.6-$\sigma$ confidence level. The spectra were also stacked at the wavelengths of the expected redshifted OVII and OVIII lines, but the analysis did not reveal evidence for the presence of additional X–ray absorbing WHIM. Moreover, the spectra were used to investigate two putative OVII absorption lines that were detected serendipitously in an earlier analysis of the same data by F. Nicastro and collaborators. The paper also presents a comprehensive statistical framework for cosmological inferences from the analysis of absorption lines, which makes use of cosmological simulations for the joint probability distributions of FUV and X–ray ions. Accordingly, we conclude that the new possible OVII absorption at z=0.1877 is consistent with a contribution from the hot WHIM to the baryon density in an amount of $\Omega_{WHIM,X}/\Omega_b = 44\pm22$\%. However, there are large systematic uncertainties associated with the temperature and abundances of the absorbers, and only a larger sample of X-ray sources can provide an accurate determination of the cosmological density of the WHIM.

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D. Spence, M. Bonamente, J. Nevalainen, et. al.
Wed, 3 May 23
42/67

Comments: MNRAS accepted, MN-22-4864-MJ.R2

http://arxiv.org/abs/2305.01431

The time delay between images of strongly gravitationally lensed quasars is an established cosmological probe. Its limitations, however, include uncertainties in the assumed mass distribution of the lens. We re-examine the methodology of a prior work presenting a geometric probe of cosmology independent of the lensing potential which considers differential time delays over images, originating from spatially-separated photometric signals within a strongly lensed quasar. We give an analytic description of the effect of the differential lensing on the emission line spectral flux for axisymmetric Broad Line Region geometries, with the inclined ring or disk, spherical shell, and double cone as examples. The proposed method is unable to recover cosmological information as the observed time delay and inferred line-of-sight velocity do not uniquely map to the three-dimensional position within the source.

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A. Ng
Wed, 3 May 23
45/67

Comments: 14 pages, 6 figures, Accepted MNRAS

http://arxiv.org/abs/2305.00999

JWST has opened up a new observational probe of our Universe. The early data release by JWST have revealed several high redshift massive galaxy candidates by photometry, and some of them have been confirmed spectroscopically. We use these observations to study their implications on the primordial power spectrum. In the first part of this work, we use the data from the CEERS photometric survey, along with respective spectroscopic updates, to compute the cumulative comoving stellar mass density. We find that a very high star formation efficiency (unlikely in various theoretical scenarios) is required to explain these observations within $\Lambda$CDM cosmology. We show that the tension can be eased if the primordial power spectrum has a blue tilt on small length scales. The required blue tilt depends on the currently unknown star formation efficiency in these galaxy candidates. In the second part of this work, we study the spectroscopically confirmed galaxies reported in the JADES survey at redshift $z \gtrsim 10$, which have been shown to be consistent with $\Lambda$CDM cosmology. We investigate the implications of these measurements on a red-tilted primordial power spectrum. For these galaxies, we estimate the star formation efficiency from an earlier observation of galaxies (with similar redshifts) by the Spitzer telescope. We find that the star formation efficiency is an order of magnitude smaller than that required to explain the CEERS photometric observations mentioned earlier. Using the estimated star formation efficiency, we find the strongest constraints on the red tilt of the power spectrum on certain length scales. Our study shows that JWST observations will be an excellent probe of the power spectrum and can lead to novel discoveries.

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P. Parashari and R. Laha
Wed, 3 May 23
62/67

Comments: 6 pages, 5 figures, Comments and suggestions are welcome

http://arxiv.org/abs/2305.00992

In the coming years, Sunyaev-Zel’dovich (SZ) measurements can dramatically improve our understanding of the Intergalactic Medium (IGM) and the role of feedback processes on galaxy formation, allowing us to calibrate important astrophysical systematics in cosmological constraints from weak lensing galaxy clustering surveys. However, the signal is only measured in a two-dimensional projection, and its correct interpretation relies on understanding the connection between observable quantities and the underlying intrinsic properties of the gas, in addition to the relation between the gas and the underlying matter distribution. One way to address these challenges is through the use of hydrodynamical simulations such as the high-resolution, large-volume MillenniumTNG suite. We find that measurements of the optical depth, $\tau$, and the Compton-y parameter, $Y$, receive large line-of-sight contributions which can be removed effectively by applying a Compensated Aperture Photometry (CAP) filter. In contrast with other $\tau$ probes (e.g., X-rays and Fast Radio Bursts), the kSZ-inferred $\tau$ receives most of its signal from a confined cylindrical region around the halo due to the velocity decorrelation along the line-of-sight. Additionally, we perform fits to the $Y-M$ and $\tau-M$ scaling relations and report best-fit parameters adopting the smoothly broken power law (SBPL) formalism. We note that subgrid physics modeling can broaden the error bar on these by 30\% for intermediate-mass halos ($\sim$$10^{13} \, {\rm M}{\odot}$). The scatter of the scaling relations can be captured by an intrinsic dependence on concentration, and an extrinsic dependence on tidal shear. Finally, we comment on the effect of using galaxies rather than halos in real observations, which can bias the inferred SZ profiles by $\sim$20\% for $L\ast$-galaxies.

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B. Hadzhiyska, S. Ferraro, R. Pakmor, et. al.
Wed, 3 May 23
63/67

Comments: 14 pages, 6 figures

http://arxiv.org/abs/2305.00268

In Luparello et al. 2023, a new and hitherto unknown CMB foreground was detected. A systematic decrease in Cosmic Microwave Background (CMB) temperatures around nearby large spiral galaxies points to an unknown interaction with CMB photons in a sphere up to several projected Mpc around these galaxies. We investigate to which extent this foreground may impact the CMB fluctuations map and create the so-called CMB anomalies. Using the observed temperature decrements around the galaxies, and making some general assumptions about the unknown interaction, we propose a common radial temperature profile. By assigning this profile to nearby galaxies in the redshift range $z=[0.004,0.02]$ we create a foreground map model. We find a remarkable resemblance between this temperature model map based on nearby galaxies and the Planck CMB map. Out of 1000 simulated maps, none of them show such a strong correlation with the foreground map over both large and small angular scales. In particular, the quadrupole, octopole, as well as $\ell=4$ and $\ell=5$ modes correlate with the foreground map to high significance. Furthermore, one of the most prominent temperature decrements in the foreground map coincides with the position of the CMB cold spot. The largest scales of the CMB and thereby the cosmological parameters, may have important changes after proper corrections of this foreground component. However, reliable CMB corrected maps can only be derived when suitable physical mechanisms are proposed and tested.

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F. Hansen, E. Boero, H. Luparello, et. al.
Tue, 2 May 23
28/57

Comments: 5 pages, 4 figures, submitted to A&A Letters

http://arxiv.org/abs/2305.00404

The China Space Station Telescope (CSST) is a forthcoming Stage IV galaxy survey. It will simultaneously undertake the photometric redshift (photo-z) and slitless spectroscopic redshift (spec-z) surveys mainly for weak lensing and galaxy clustering studies. The two surveys cover the same sky area and overlap on the redshift range. Due to the sparse number density of the spec-z sample at $z>1$, it limits the constraints on the scale of Baryon Acoustic Oscillations (BAO). By cross-correlating the spec-z sample with the high-density photo-z sample, we can effectively enhance the constraints on the angular diameter distances from BAO. We estimate a greater than 35 per cent improvement utilising the Fisher matrix formalism. Such improvement is robust against different systematic effects including the systematic noise and the redshift success rate of the spec-z survey, as well as the photo-z error. Our study can be a reference for future BAO analysis on real CSST data. The methodology can be applied to other surveys with spec-z and photo-z data in the same survey volume.

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Z. Ding, Y. Yu and P. Zhang
Tue, 2 May 23
29/57

Comments: 12 pages, 10 figures, comments welcome

http://arxiv.org/abs/2305.00016

We develop a neural network based pipeline to estimate masses of galaxy clusters with a known redshift directly from photon information in X-rays. Our neural networks are trained using supervised learning on simulations of eROSITA observations, focusing in this paper on the Final Equatorial Depth Survey (eFEDS). We use convolutional neural networks which are modified to include additional information of the cluster, in particular its redshift. In contrast to existing work, we utilize simulations including background and point sources to develop a tool which is usable directly on observational eROSITA data for an extended mass range from group size halos to massive clusters with masses in between $10^{13}M_\odot<M<10^{15}M_\odot.$ Using this method, we are able to provide for the first time neural network mass estimation for the observed eFEDS cluster sample from Spectrum-Roentgen-Gamma/eROSITA observations and we find consistent performance with weak lensing calibrated masses. In this measurement, we do not use weak lensing information and we only use previous cluster mass information which was used to calibrate the cluster properties in the simulations. When compared to simulated data, we observe a reduced scatter with respect to luminosity and count-rate based scaling relations.
We comment on the application for other upcoming eROSITA All-Sky Survey observations.

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S. Krippendorf, N. Perez, E. Bulbul, et. al.
Tue, 2 May 23
35/57

Comments: 10 pages, 8 figures

http://arxiv.org/abs/2305.00206

The apparent shape of galaxy clustering depends on the adopted cosmology used to convert observed redshift to comoving distance, the $r(z)$ relation, as it changes the line elements along and across the line of sight differently. The Alcock-Paczy\’nski (AP) test exploits this property to constrain the expansion history of the universe. We present an extensive review of past studies on the AP test. We adopt an extended AP test method introduced by Park et al. (2019), which uses the full shape of redshift-space two-point correlation function (CF) as the standard shape, and apply it to the SDSS DR7, BOSS, and eBOSS LRG samples covering the redshift range up to $z=0.8$.We calibrate the test against the nonlinear cosmology-dependent systematic evolution of the CF shape using the Multiverse simulations. We focus on examining whether or not the flat $\Lambda$CDM `concordance’ model is consistent with observation. We constrain the flat $w$CDM model to have $w=-0.892_{-0.050}^{+0.045}$ and $\Omega_m=0.282_{-0.023}^{+0.024}$ from our AP test alone, which is significantly tighter than the constraints from the BAO or SNe I$a$ methods by a factor of 3 – 6. When the AP test result is combined with the recent BAO and SNe I$a$ results, we obtain $w=-0.903_{-0.023}^{+0.023}$ and $\Omega_m=0.285_{-0.009}^{+0.014}$.This puts a strong tension with the flat $\Lambda$CDM model with $w=-1$ at $4.2\sigma$ level. Consistency with $w=-1$ is obtained only when the Planck CMB observation is combined.It remains to see if this tension between observations of galaxy distribution at low redshifts and CMB anisotropy at the decoupling epoch becomes greater in the future studies and leads us to a new paradigm of cosmology.

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F. Dong, C. Park, S. Hong, et. al.
Tue, 2 May 23
53/57

Comments: 21 pages, 11 figures, accepted by ApJ

http://arxiv.org/abs/2304.14434

The mean matter density within the turnaround radius, which is the boundary that separates a nonexpanding structure from the Hubble flow, was recently proposed as a novel cosmological probe. According to the spherical collapse model, the evolution with cosmic time of this turnaround density, $\rm \rho_{ta}(z)$, can be used to determine both $\rm \Omega_m$ and $\Omega_\Lambda$, independently of any other currently used probe. The properties of $\rm \rho_{ta}$ predicted by the spherical collapse model were also shown to persist in the presence of full three-dimensional effects in $\rm \Lambda$CDM N-body cosmological simulations when considering galaxy clusters at the present time, $z=0$. However, a small offset was discovered between the spherical-collapse prediction of the value of $\rho_{ta}$ at $z=0$ and its value measured in simulations. In this letter, we explore whether this offset evolves with cosmic time; whether it differs in different cosmologies; whether its origin can be confidently identified; and whether it can be corrected. We found that the offset does evolve slightly with redshift, and that it correlates strongly with the deviation from spherical symmetry of the dark matter halo distribution inside and outside of the turnaround radius. We used an appropriate metric to quantify deviations in the environment of a structure from spherical symmetry. We found that using this metric, we can construct a sphericity-selected sample of halos for which the offset of $\rho_{ta}$ from the spherical collapse prediction is zero, independently of redshift and cosmology. We found that a sphericity-selected halo sample allows us to recover the simulated cosmology, and we conclude that the turnaround density evolution indeed encodes the cosmology in N-body simulations.

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G. Korkidis, V. Pavlidou and K. Tassis
Mon, 1 May 23
17/51

Comments: 8 pages, 4 figures, accepted for publication in A&A

http://arxiv.org/abs/2304.14432

We present a new suite of over 1,500 cosmological N-body simulations with varied Warm Dark Matter (WDM) models ranging from 2.5 to 30 keV. We use these simulations to train Convolutional Neural Networks (CNNs) to infer WDM particle masses from images of DM field data. Our fiducial setup can make accurate predictions of the WDM particle mass up to 7.5 keV at a 95% confidence level from small maps that cover an area of (25 h$^{-1}$ Mpc)$^2$. We vary the image resolution, simulation resolution, redshift, and cosmology of our fiducial setup to better understand how our model is making predictions. Using these variations, we find that our models are most dependent on simulation resolution, minimally dependent on image resolution, not systematically dependent on redshift, and robust to varied cosmologies. We also find that an important feature to distinguish between WDM models is present with a linear size between 100 and 200 h$^{-1}$ kpc. We compare our fiducial model to one trained on the power spectrum alone and find that our field-level model can make 2x more precise predictions and can make accurate predictions to 2x as massive WDM particle masses when used on the same data. Overall, we find that the field-level data can be used to accurately differentiate between WDM models and contain more information than is captured by the power spectrum. This technique can be extended to more complex DM models and opens up new opportunities to explore alternative DM models in a cosmological environment.

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J. Rose, P. Torrey, F. Villaescusa-Navarro, et. al.
Mon, 1 May 23
23/51

Comments: 16 pages, 12 figures

http://arxiv.org/abs/2304.14171

The Epoch of Reionization (EoR) neutral Hydrogen (HI) 21-cm signal evolves significantly along the line-of-sight (LoS) due to the light-cone (LC) effect. It is important to accurately incorporate this in simulations in order to correctly interpret the signal. 21-cm LC simulations are typically produced by stitching together slices from a finite number $(N_{\rm RS})$ of ”reionization snapshot”, each corresponding to a different stage of reionization. In this paper, we have quantified the errors in the 21-cm LC simulation due to the finite value of $N_{\rm RS}$. We show that this can introduce large discontinuities $(> 200 \%)$ at the stitching boundaries when $N_{\rm RS}$ is small $(= 2,4)$ and the mean neutral fraction jumps by $\delta \bar{x}{\rm HI} = 0.2,0.1$ respectively at the stitching boundaries. This drops to $17 \%$ for $N{\rm RS} = 13$ where $\delta \bar{x}{\rm HI}=0.02$. We present and also validate a method for mitigating this error by increasing $N{\rm RS}$ without a proportional increase in the computational costs which are mainly incurred in generating the dark matter and halo density fields. Our method generates these fields only at a few redshifts, and interpolates them to generate reionization snapshots at closely spaced redshifts. We use this to generate 21-cm LC simulations with $N_{\rm RS} = 26,51,101$ and $201$, and show that the errors go down as $N_{\rm RS}^{-1}$.

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S. Pramanick, R. Mondal and S. Bharadwaj
Fri, 28 Apr 23
2/68

Comments: 11 pages, 8 (+1 in the appendix) figures

http://arxiv.org/abs/2304.13752

In the past few years, we built a Hubble diagram of quasars up to redshift z$\sim$7, based on the nonlinear relation between quasars’ x-ray and UV luminosities. Such a Hubble diagram shows a >4$\sigma$ deviation from the standard flat $\Lambda$CDM model at z>1.5. Given the important consequences of this result, it is fundamental to rule out any systematic effect in the selection of the sample and/or in the flux measurements, and to investigate possible redshift dependences of the relation, that would invalidate the use of quasars as standard candles. Here we review all the observational results supporting our method: the match of the Hubble diagram of quasars with that of supernovae in the common redshift range, the constant slope of the relation at all redshifts, the redshift non-evolution of the spectral properties of our sources both in the x-rays and in the UV. An independent test of our results requires the observation of other standard candles at high redshift. In particular, we expect that future observations of supernovas at z>2 will confirm the deviation from the concordance model found with the Hubble diagram of quasars.

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G. Risaliti, E. Lusso, E. Nardini, et. al.
Fri, 28 Apr 23
18/68

Comments: N/A

http://arxiv.org/abs/2304.13857

In this paper, we revisit the hydrogen recombination history from a novel perspective: the evolution of chemical potentials. We derive expressions for the chemical potentials, which depend on the thermal bath temperature and the ionization degree of the universe. Our main finding reveals a constraint between the chemical potentials of hydrogen and proton at $z\approx 1200$ when the free electron fraction is $X_e\approx 1/3$. Furthermore, we present important data on the chemical potentials during recombination, highlighting the differences between the predictions of the Peebles’ and CosmoRec code solutions. Finally, we discuss a particular case related to the chemical potential of hydrogen.

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L. Sales, F. Carvalho and H. Souza
Fri, 28 Apr 23
55/68

Comments: Submitted to EPJC

http://arxiv.org/abs/2304.14253

Next generation surveys will provide us with an unprecedented number of detections of supernovae Type Ia and gravitational wave merger events. Cross-correlations of such objects offer novel and powerful insights into the large-scale distribution of matter in the universe. Both of these sources carry information on their luminosity distance, but remain uninformative about their redshifts; hence their clustering analyses and cross-correlations need to be carried out in luminosity distance space, as opposed to redshift space. In this paper, we calculate the full expression for the number count fluctuation in terms of a perturbation to the observed luminosity distance. We find the expression to differ significantly from the one commonly used in redshift space. Furthermore, we present a comparison of the number count angular power spectra between luminosity distance and redshift spaces. We see a wide divergence between the two at large scales, and we note that lensing is the main contribution to such differences. On such scales and at higher redshifts the difference between the angular power spectra in luminosity distance and redshift spaces can be roughly 50$\%$. We also investigate cross-correlating different redshift bins using different tracers, i.e. one in luminosity distance space and one in redshift, simulating the cross-correlation angular power spectrum between background gravitational waves/supernovae and foreground galaxies. Finally, we show that in a cosmic variance limited survey, the relativistic corrections to the density-only term ought to be included.

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J. Fonseca, S. Zazzera, T. Baker, et. al.
Fri, 28 Apr 23
60/68

Comments: 33 pages, 9 figures, 1 table. Comments welcome

http://arxiv.org/abs/2304.13210

Plasma lensing displays interesting characteristics that set it apart from gravitational lensing. The magnetised medium induces birefringence in the two polarisation modes. As the lensing deflection grows stronger, e.g. when images form near the critical curve, the geometric delay of the signal can cause rotation in linear polarisation, in addition to Faraday rotation. This rotation has a frequency dependence to the power of four. We study the geometric rotation of the lensed image in a Gaussian density model and find that it is necessary to take into account the geometric rotation when estimating magnetised media, especially in the under-dense lens. At frequencies of $\sim 1$ GHz or lower, the geometric rotation can dominate. We simulate the flux of lensed images and find that when the image forms near the lensing critical curve, the birefringence can convert the linear polarisation and un-polarisation pulse into a circular mode. The lensing magnification has the potential to increase the probability of detecting such events.

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X. Er, U. Pen, X. Sun, et. al.
Thu, 27 Apr 23
23/78

Comments: MNRAS, 7 pages, comments welcome

http://arxiv.org/abs/2304.13570

We cross-match and compare characteristics of galaxy clusters identified in observations from two sky surveys using two completely different techniques. One sample is optically selected from the analysis of three years of Dark Energy Survey observations using the redMaPPer cluster detection algorithm. The second is X-ray selected from XMM observations analysed by the XMM Cluster Survey. The samples comprise a total area of 57.4 deg$^2$, bounded by the area of 4 contiguous XMM survey regions that overlap the DES footprint. We find that the X-ray selected sample is fully matched with entries in the redMaPPer catalogue, above $\lambda>$20 and within 0.1$< z <$0.9. Conversely, only 38\% of the redMaPPer catalogue is matched to an X-ray extended source. Next, using 120 optically clusters and 184 X-ray selected clusters, we investigate the form of the X-ray luminosity-temperature ($L_{X}-T_{X}$), luminosity-richness ($L_{X}-\lambda$) and temperature-richness ($T_{X}-\lambda$) scaling relations. We find that the fitted forms of the $L_{X}-T_{X}$ relations are consistent between the two selection methods and also with other studies in the literature. However, we find tentative evidence for a steepening of the slope of the relation for low richness systems in the X-ray selected sample. When considering the scaling of richness with X-ray properties, we again find consistency in the relations (i.e., $L_{X}-\lambda$ and $T_{X}-\lambda$) between the optical and X-ray selected samples. This is contrary to previous similar works that find a significant increase in the scatter of the luminosity scaling relation for X-ray selected samples compared to optically selected samples.

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E. Upsdell, P. Giles, A. Romer, et. al.
Thu, 27 Apr 23
65/78

Comments: Accepted for publication to MNRAS

http://arxiv.org/abs/2304.12346

The intrinsic alignment (IA) of observed galaxy shapes with the underlying cosmic web is a source of contamination in weak lensing surveys. Sensitive methods to identify the IA signal will therefore need to be included in the upcoming weak lensing analysis pipelines. Hydrodynamical cosmological simulations allow us to directly measure the intrinsic ellipticities of galaxies and thus provide a powerful approach to predict and understand the IA signal. Here we employ the novel, large-volume hydrodynamical simulation MTNG740, a product of the MillenniumTNG (MTNG) project, to study the IA of galaxies. We measure the projected correlation functions between the intrinsic shape/shear of galaxies and various tracers of large-scale structure, $w_{+g},\ w_{+m},\ w_{++}$ over the radial range $r_{\rm p} \in [0.02 , 200]\,h^{-1}{\rm Mpc}$ and at redshifts $z=0.0$, $0.5$ and $1.0$. We detect significant signal-to-noise IA signals with the density field for both elliptical and spiral galaxies. We also find significant intrinsic shear-shear correlations for ellipticals. We further examine correlations of the intrinsic shape of galaxies with the local tidal field. Here we find a significant IA signal for elliptical galaxies assuming a linear model. We also detect a weak IA signal for spiral galaxies under a quadratic tidal torquing model. Lastly, we measure the alignment between central galaxies and their host dark-matter halos, finding small to moderate misalignments between their principal axes that decline with halo mass.

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A. Delgado, B. Hadzhiyska, S. Bose, et. al.
Wed, 26 Apr 23
59/62

Comments: 16 pages, 14 figures

http://arxiv.org/abs/2304.11540

Ongoing and upcoming galaxy surveys are providing precision measurements of galaxy clustering. However a major obstacle in its cosmological application is the stochasticity in the galaxy bias. We explore whether the principal component analysis (PCA) of galaxy correlation matrix in hyperspace of galaxy properties (e.g. magnitude and color) can reveal further information on mitigating this issue. Based on the hydrodynamic simulation TNG300-1, we analyze the cross power spectrum matrix of galaxies in the magnitude and color space of multiple photometric bands. (1) We find that the first principal component $E_i^{(1)}$ is an excellent proxy of the galaxy deterministic bias $b_{D}$, in that $E_i^{(1)}=\sqrt{\lambda^P(1)/P_{mm}}b_{D,i}$. Here $i$ denotes the $i$-th galaxy sub-sample. $\lambda^{(1)}$ is the largest eigenvalue and $P_{mm}$ is the matter power spectrum. We verify that this relation holds for all the galaxy samples investigated, down to $k\sim 2h/$Mpc. Since $E_i^{(1)}$ is a direct observable, we can utilize it to design a linear weighting scheme to suppress the stochasticity in the galaxy-matter relation. For an LSST-like magnitude limit galaxy sample, the stochasticity $\mathcal{S}\equiv 1-r^2$ can be suppressed by a factor of $\ga 2$ at $k=1h/$Mpc. This reduces the stochasticity-induced systematic error in the matter power spectrum reconstruction combining galaxy clustering and galaxy-galaxy lensing from $\sim 12\%$ to $\sim 5\%$ at $k=1h/$Mpc. (2) We also find that $\mathcal{S}$ increases monotonically with $f_\lambda$ and $f_{\lambda^2}$. $f_{\lambda,\lambda^2}$ quantify the fractional contribution of other eigenmodes to the galaxy clustering and are direct observables. Therefore the two provide extra information on mitigating galaxy stochasticity.

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S. Zhou, P. Zhang and Z. Chen
Tue, 25 Apr 23
9/72

Comments: N/A

http://arxiv.org/abs/2304.12013

We generalize previously derived analytic results for the one-loop power spectrum (PS) in scale-free models (with linear PS $P(k) \propto k^n$) to a broader class of such models in which part of the matter-like component driving the Einstein de Sitter expansion does not cluster. These models can be conveniently parametrized by $\alpha$, the constant logarithmic linear growth rate of fluctuations (with $\alpha=1$ in the usual case). For $-3< n<-1$, where the one-loop PS is both infrared and ultraviolet convergent and thus explicitly self-similar, it is characterized conveniently by a single numerical coefficient $c(n, \alpha)$. We compare the analytical predictions for $c(n=-2, \alpha)$ with results from a suite of $N$-body simulations with $\alpha \in [0.25, 1]$ performed with an appropriately modified version of the Gadget code. Although the simulations are of small ($256^3$) boxes, the constraint of self-similarity allows the identification of the converged PS at a level of accuracy sufficient to test the analytical predictions for the $\alpha$ dependence of the evolved PS. Good agreement for the predicted dependence on $\alpha$ of the PS is found. To treat the UV sensitivity of results which grows as one approaches $n =-1$, we derive exact results incorporating a regularisation $k_c$ and obtain expressions for $c(n, \alpha, k_c/k)$. Assuming that this regularisation is compatible with self-similarity allows us to infer a predicted functional form of the PS equivalent to that derived in effective field theory (EFT). The coefficient of the leading EFT correction at one loop has a strong dependence on $\alpha$, with a change in sign at $\alpha \approx 0.16$, providing a potentially stringent test of EFT.

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A. Pohan, M. Joyce, D. Benhaiem, et. al.
Tue, 25 Apr 23
58/72

Comments: 14 pages, 6 figures, 3 tables

http://arxiv.org/abs/2304.10565

Beyond standard summary statistics are necessary to summarize the rich information on non-linear scales in the era of precision galaxy clustering measurements. For the first time, we introduce the 2D k-th nearest neighbor (kNN) statistics as a summary statistic for discrete galaxy fields. This is a direct generalization of the standard 1D kNN by disentangling the projected galaxy distribution from the redshift-space distortion signature along the line-of-sight. We further introduce two different flavors of 2D $k$NNs that trace different aspects of the galaxy field: the standard flavor which tabulates the distances between galaxies and random query points, and a ”DD” flavor that tabulates the distances between galaxies and galaxies. We showcase the 2D kNNs’ strong constraining power both through theoretical arguments and by testing on realistic galaxy mocks. Theoretically, we show that 2D kNNs are computationally efficient and directly generate other statistics such as the popular 2-point correlation function, voids probability function, and counts-in-cell statistics. In a more practical test, we apply the 2D kNN statistics to simulated galaxy mocks that fold in a large range of observational realism and recover parameters of the underlying extended halo occupation distribution (HOD) model that includes velocity bias and galaxy assembly bias. We find unbiased and significantly tighter constraints on all aspects of the HOD model with the 2D kNNs, both compared to the standard 1D kNN, and the classical redshift-space 2-point correlation functions.

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S. Yuan, A. Zamora and T. Abel
Mon, 24 Apr 23
37/41

Comments: Submitted to MNRAS, comments welcome

http://arxiv.org/abs/2304.10160

We use parameterized post-Friedmann (PPF) description for dark energy and apply ellipsoidal nested sampling to perform the Bayesian model selection method on different time-dependent dark energy models using a combination of $Planck$ and data based on distance measurements, namely baryon acoustic oscillations and supernovae luminosity distance. Models with two and three free parameters described in terms of linear scale factor $a$, or scaled in units of e-folding $\ln a$ are considered. Our results show that parameterizing dark energy in terms of $\ln a$ provides better constraints on the free parameters than polynomial expressions. In general, two free-parameter models are adequate to describe the dynamics of the dark energy compared to their three free-parameter generalizations. According to the Bayesian evidence, determining the strength of support for cosmological constant $\Lambda$ over polynomial dark energy models remains inconclusive. Furthermore, considering the $R$ statistic as the tension metric shows that one of the polynomial models gives rise to a tension between $Planck$ and distance measurements data sets. The preference for the logarithmic equation of state over $\Lambda$ is inconclusive, and the strength of support for $\rm \Lambda$CDM over the oscillating model is moderate.

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M. Khorasani, M. Mosleh and A. Sheykhi
Fri, 21 Apr 23
6/60

Comments: Accepted for publication in MNRAS. 8 pages, 4 figures

http://arxiv.org/abs/2304.10219

We present weak gravitational lensing measurements of a sample of 157 clusters within the Kilo Degree Survey (KiDS), detected with a $>5\sigma$ thermal Sunyaev-Zel’dovich (SZ) signal by the Atacama Cosmology Telescope (ACT). Using a halo-model approach we constrain the average total cluster mass, $M_{\rm WL}$, accounting for the ACT cluster selection function of the full sample. We find that the SZ cluster mass estimate $M_{\rm SZ}$, which was calibrated using X-ray observations, is biased with $M_{\rm SZ}/M_{\rm WL} = (1-b_{\rm SZ}) = 0.65\pm 0.05$. Separating the sample into six mass bins, we find no evidence of a strong mass-dependency for the mass bias, $(1-b_{\rm SZ})$. Adopting this ACT-KiDS SZ mass-calibration would bring the Planck SZ cluster count into agreement with the counts expected from the {\it Planck} cosmic microwave background $\Lambda$CDM cosmological model, although it should be noted that the cluster sample considered in this work has a lower average mass $M_{\rm SZ, uncor} = 3.64 \times 10^{14} M_{\odot}$ compared to the Planck cluster sample which has an average mass in the range $M_{\rm SZ, uncor} = (5.5-8.5) \times 10^{14} M_{\odot}$, depending on the sub-sample used.

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N. Robertson, C. Sifón, M. Asgari, et. al.
Fri, 21 Apr 23
10/60

Comments: 12 pages, 7 figures

http://arxiv.org/abs/2304.10221

We study the formation and evolution of solitons supported by repulsive self-interactions inside extended halos, for scalar-field dark matter scenarios. We focus on the semiclassical regime where the quantum pressure is typically much smaller than the self-interactions. We present numerical simulations, with initial conditions where the halo is described by the WKB approximation for its eigenfunction coefficients. We find that when the size of the system is of the order of the Jeans length associated with the self-interactions, a central soliton quickly forms and makes about 50% of the total mass. However, if the halo is ten times greater than this self-interaction scale, a soliton only quickly forms in cuspy halos where the central density is large enough to trigger the self-interactions. If the halo has a flat core, it takes a longer time for a soliton to appear, after small random fluctuations on the de Broglie wavelength size build up to reach a large enough density. In some cases, we observe the co-existence of several narrow density spikes inside the larger self-interaction-supported soliton. All solitons appear robust and slowly grow, unless they already make up 40% of the total mass. We develop a kinetic theory, valid for an inhomogeneous background, to estimate the soliton growth rate for low masses. It explains the fast falloff of the growth rate as resonances between the ground state and halo excited states disappear. Our results suggest that cosmological halos would show a large scatter for their soliton mass, depending on their assembly history.

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R. García, P. Brax and P. Valageas
Fri, 21 Apr 23
11/60

Comments: 25 pages, 14 figures

http://arxiv.org/abs/2304.10128

While collisionless cold dark matter models have been largely successful in explaining a wide range of observational data, some tensions still exist, and it remains possible that dark matter possesses a non-negligible level of self interactions. In this paper, we investigate a possible observable consequence of self-interacting dark matter: offsets between the central galaxy and the center of mass of its parent halo. We examine 23 relaxed galaxy clusters in a redshift range of 0.1 to 0.3 drawn from clusters in the Dark Energy Survey and the Sloan Digital Sky Survey which have archival Chandra X-ray data of sufficient depth for center and relaxation determination. We find that most clusters in our sample show non-zero offsets between the X-ray center, taken to be the centroid within the cluster core, and the central galaxy position. All of the measured offsets are larger, typically by an order of magnitude, than the uncertainty in the X-ray position due to Poisson noise. In all but six clusters, the measured offsets are also larger than the estimated, combined astrometric uncertainties in the X-ray and optical positions. A more conservative cut on concentration to select relaxed clusters marginally reduces but does not eliminate the observed offset. With our more conservative sample, we find an estimated mean X-ray to central galaxy offset of $\mu = 5.5 \pm 1.0$ kpc. Comparing to recent simulations, this distribution of offsets is consistent with some level of dark matter self interaction, though further simulation work is needed to place constraints.

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D. Cross, G. Thoron, T. Jeltema, et. al.
Fri, 21 Apr 23
25/60

Comments: 7 pages, 1 figure, 1 table

http://arxiv.org/abs/2304.10315

We propose a new probe of inflationary gravitational waves (IGWs): the cross-correlation of the lensing of inflationary $B$-mode polarization with a large-scale structure (LSS) tracer, which can also be a CMB lensing map. This is equivalent to measuring a three-point function of two CMB $B$-modes and an LSS tracer. We forecast expected $1\,\sigma$ constraints on the tensor-to-scalar ratio, $r$, albeit with a simplistic foreground treatment, and find constraints of $\sigma_r \simeq 7 \times 10^{-3}$ from the correlation of CMB-S4-Deep $B$-mode lensing and LSST galaxies, $\sigma_r \simeq 5 \times 10^{-3}$ from the correlation of CMB-S4-Deep $B$-mode lensing and CMB-S4-Deep CMB lensing, and $\sigma_r \simeq 10^{-2}$ from the correlation of LiteBIRD $B$-mode lensing and CMB-S4-Wide lensing. Because this probe is inherently non-Gaussian, simple Gaussian foregrounds will not produce any biases to the measurement of $r$. While a detailed investigation of non-Gaussian foreground contamination for different cross-correlations will be essential, this observable has the potential to be a powerful probe of IGWs, complementary to standard methods for constraining $r$.

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T. Namikawa and B. Sherwin
Fri, 21 Apr 23
28/60

Comments: 7 pages, 1 figure

http://arxiv.org/abs/2304.09959

Accurate detection of the cosmological 21-cm global signal requires galactic foreground models that can fit spectra down to $\sim 20$ mK or less, representing a removal of power over nearly six orders of magnitude. Rarely are such models tested to this level, let alone their dependence upon model inputs like sky temperature maps. We therefore test the ability of seven commonly employed foreground models — including nonlinear and linear forward-models, polynomials, and maximally-smooth polynomials — to fit realistic simulated mock spectra, as well as their dependence upon model inputs. The mock spectra are synthesized from intrinsic foregrounds with realistic spatial and spectral structure, chromatic beams, horizon profiles, and discrete time-sampling. For a single LST bin spectrum, the nonlinear-forward model with 4 parameters is preferred using a KS-test of the noise-normalized residuals, while the linear forward-model fits well with 6-7 parameters. The polynomials and maximally-smooth polynomials, like those employed by the EDGES and SARAS3 experiments, cannot produce good fits with 5 parameters. However, we find that polynomials with 6 parameters pass the KS-test, although a 9 parameter fit produces the highest p-value. When fitting multiple LST bins simultaneously to decrease overlap with global signal models, we find that the linear forward-model outperforms the nonlinear for 2, 5 and 10 LST bins. In addition, the nonlinear forward-model fails to produce good fits to spectra with 10 LST bins, in contrast to the linear. Importantly, the KS-test consistently identifies best-fit \textit{and} preferred models as opposed to the $\chi^2_{red}$ and Bayesian evidence, especially in cases involving nonlinear models.

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J. Hibbard, D. Rapetti, J. Burns, et. al.
Fri, 21 Apr 23
37/60

Comments: 25 pages, 12 figures, submitted to ApJ

http://arxiv.org/abs/2304.10431

Deep Cosmic Microwave Background polarization experiments allow in principle very precise internal reconstruction of the gravitational lensing signal. To this aim, likelihood-based or Bayesian methods are typically necessary, where performing a sometimes very large number of lensing and delensing remappings on the sphere is required before satisfactory convergence. We discuss here in some detail an optimized piece of numerical code able to perform both the lensing operation and its adjoint (closely related to delensing) efficiently, and to arbitrary accuracy, using non-uniform Fast Fourier Transform technology. Where applicable, we find the code outperforms by massive amounts current widespread software, being able to produce high-resolution maps accurate enough for next-generation CMB experiments on the timescale of seconds on a modern laptop. The adjoint operation performs similarly, and removes the need for computation of inverse deflection fields. This publicly available code enables de facto efficient spherical harmonic transforms on completely arbitrary grids, and could possibly find applications also in other areas.

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M. Reinecke, S. Belkner and J. Carron
Fri, 21 Apr 23
38/60

Comments: 7 pages, 3 figures, prepared for A&A submission

http://arxiv.org/abs/2304.09880

We build a deep learning framework that connects the local formation process of dark matter halos to the halo bias. We train a convolutional neural network (CNN) to predict the final mass and concentration of dark matter halos from the initial conditions. The CNN is then used as a surrogate model to derive the response of the halos’ mass and concentration to long-wavelength perturbations in the initial conditions, and consequently the halo bias parameters following the “response bias” definition. The CNN correctly predicts how the local properties of dark matter halos respond to changes in the large-scale environment, despite no explicit knowledge of halo bias being provided during training. We show that the CNN recovers the known trends for the linear and second-order density bias parameters $b_1$ and $b_2$, as well as for the local primordial non-Gaussianity linear bias parameter $b_\phi$. The expected secondary assembly bias dependence on halo concentration is also recovered by the CNN: at fixed mass, halo concentration has only a mild impact on $b_1$, but a strong impact on $b_\phi$. Our framework opens a new window for discovering which physical aspects of the halo’s Lagrangian patch determine assembly bias, which in turn can inform physical models of halo formation and bias.

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L. Lucie-Smith, A. Barreira and F. Schmidt
Fri, 21 Apr 23
47/60

Comments: 11 pages, 5 figures, to be submitted to MNRAS, comments welcome

http://arxiv.org/abs/2304.09193

We investigate the accuracy requirements for field-level inference of cluster masses and void sizes using data from galaxy surveys. We introduce a two-step framework that takes advantage of the fact that cluster masses are determined by flows on larger scales than the clusters themselves. First, we determine the integration accuracy required to perform field-level inference of cosmic initial conditions on these large scales, by fitting to late-time galaxy counts using the Bayesian Origin Reconstruction from Galaxies (BORG) algorithm. A 20-step COLA integrator is able to accurately describe the density field surrounding the most massive clusters in the Local Super-Volume ($<135\,h^{-1}\mathrm{Mpc}$), but does not by itself lead to converged virial mass estimates. Therefore we carry out `posterior resimulations’, using full $N$-body dynamics while sampling from the inferred initial conditions, and thereby obtain estimates of masses for nearby massive clusters. We show that these are in broad agreement with existing estimates, and find that mass functions in the Local Super-Volume are compatible with $\Lambda$CDM.

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S. Stopyra, H. Peiris, A. Pontzen, et. al.
Thu, 20 Apr 23
7/57

Comments: 12 pages, 6 figures

http://arxiv.org/abs/2304.09810

With the help of our previously built MCMC-based parameter estimation package \texttt{CosmoReionMC}, we investigate in detail the potential of 21~cm global signal, when combined with CMB and observations related to the QSO absorption spectra, to constraint the mass of Warm Dark Matter (WDM) particle. For the first time, we simultaneously vary all the free parameters (mass of WDM particle, cosmological parameters, and astrophysical parameters) to address the long-overlooked issue of the possible degeneracies between the Dark Matter particle mass $m_X$ and cosmological/astrophysical parameters. From the existing CMB and QSO absorption spectra data, we can rule out $m_X < 2.8$~keV at 95\% confidence level. Including the mock 21~cm global signal data expected in the future, the forecasted constraint is found to be much tighter $m_X > 7.7$~keV, assuming that the true dark matter model is the usual cold dark matter. In case the mock 21~cm signal is constructed for dark matter particles having $m_X = 7$~keV, our forecasts indicate that $\left(m_X / \text{keV}\right)^{-1}$ is in the range $[0.1, 0.2]$ ($95\%$ confidence level). This implies that the future 21~cm data should allow detection of the WDM particle mass if $m_X \sim 7$~keV

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A. Chatterjee and T. Choudhury
Thu, 20 Apr 23
10/57

Comments: Submitted to MNRAS

http://arxiv.org/abs/2304.09198

We develop a framework for self-consistently extracting cosmological information from the clustering of tracers in redshift space, $\textit{without}$ relying on model-dependent templates to describe the baryon acoustic oscillation (BAO) feature. Our approach uses the recently proposed Laguerre reconstruction technique for the BAO feature and its linear point $r_{\rm LP}$, and substantially extends it to simultaneously model the multipoles $\ell=0,2,4$ of the anisotropic galaxy 2-point correlation function (2pcf). The approach is `model-agnostic’: it assumes that the non-linear growth of structure smears the BAO feature by an approximately Gaussian kernel with a smearing scale $\sigma_{\rm v}$, but does not assume any fiducial cosmology for describing the shape of the feature itself. Using mock observations for two realistic survey configurations assuming $\Lambda$ cold dark matter ($\Lambda$CDM), combined with Bayesian parameter inference, we show that the linear point $r_{\rm LP}$ and smearing scale $\sigma_{\rm v}$ can be accurately recovered by our method in both existing and upcoming surveys. The precision of the recovery of $r_{\rm LP}$ is always better than $1\%$, while $\sigma_{\rm v}$ can be recovered with $\lesssim10\%$ uncertainty provided the linear galaxy bias $b$ is separately constrained, e.g., using weak lensing observations. Our method is also sensitive to the linear growth rate $f$, albeit with larger uncertainties and systematic errors, especially for upcoming surveys such as DESI. We discuss how our model can be modified to improve the recovery of $f$, such that the resulting constraints on ${f,\sigma_{\rm v},r_{\rm LP}}$ can potentially be used as a test of cosmological models including and beyond $\Lambda$CDM.

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A. Paranjape and R. Sheth
Thu, 20 Apr 23
13/57

Comments: 17 pages, 6 figures, submitted to MNRAS

http://arxiv.org/abs/2304.09191

Surveys with a narrow field-of-view can play an important role in probing cosmology, but inferences from these surveys suffer from large sample variance. The standard method for computing the sample variance is based on two key approximations, and we demonstrate that it can lead to a significant underestimate of the sample variance in narrow surveys. We present a new method for accurately computing the sample variance and apply our method to the recent observations of the warm-hot intergalactic medium (WHIM) based on spectroscopic measurements of blazars. We find that the sample variances in these surveys are significantly larger than the quoted measurement errors; for example, the cosmic mean baryon density contained in the WHIM could be lower by $54\%$ at $1\text{-}\sigma$ fluctuation than estimated in one observation. Accurately quantifying the sample variance is essential in deriving correct interpretations of the measurements in surveys with a small field-of-view.

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P. Espenshade and J. Yoo
Thu, 20 Apr 23
53/57

Comments: 6 pages, 2 figures, submitted to ApJL

http://arxiv.org/abs/2304.09041

We measured the average Compton profile of 461 clusters detected jointly by the South Pole Telescope (SPT) and Planck. The number of clusters included in this analysis is about one order of magnitude larger than in previous analyses. We propose an innovative method developed in Fourier space to combine optimally the Planck and SPT-SZ data, allowing us to perform a clean deconvolution of the point spread and transfer functions while simultaneously rescaling by the characteristic radial scale $R_{\rm 500}$ with respect to the critical density. The method additionally corrects for the selection bias of SPT clusters in the SPT-SZ data. We undertake a generalised Navarro-Frenk-White (NFW) fit to the profile with only one parameter fixed, allowing us to constrain the other four parameters with excellent precision. The best-fitting profile is in good agreement with the Universal Pressure Profile based on REXCESS in the inner region and with the Planck Intermediate Paper V profile based on Planck and the XMM archive in the outer region. We investigate trends with redshift and mass, finding no indication of redshift evolution but detecting a significant difference in the pressure profile of the low vs. high mass subsamples, in the sense that the low mass subsample has a profile that is more centrally-peaked than that of the high mass subsample. [abridged]

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J. Melin and G. Pratt
Wed, 19 Apr 23
4/58

Comments: 15 pages, 12 figures, submitted to A&A

http://arxiv.org/abs/2304.09166

We propose a cross-internal linear combination (cross-ILC) approach to measure the small-scale cosmic microwave background (CMB) anisotropies robustly against the contamination from astrophysical signals. In particular, we focus on the mitigation of systematics from cosmic infrared background (CIB) and thermal Sunyaev-Zeldovich (tSZ) signals in kinematic SZ (kSZ) power spectrum and CMB lensing. We show the cross-spectrum measurement between two CMB maps created by nulling the contributions from CIB (CIB-free map) and tSZ (tSZ-free map) to be robust for kSZ as the approach significantly suppresses the total contribution of CIB and tSZ signals. Similarly, for CMB lensing, we use the approach introduced by Madhavacheril & Hill (2018) but with a slight modification by using the tSZ-free and CIB-free maps in the two legs of the quadratic estimator. By cross-correlating the CMB lensing map created using this technique with galaxy surveys, we show that the biases from both CIB/tSZ are negligible. We also compute the impact of unmodeled CIB/tSZ residuals on kSZ and cosmological parameters finding that the kSZ measured using the standard ILC to be significantly biased. The kSZ estimate from the cross-ILC remains less affected by CIB/tSZ making it crucial for CMB surveys such as the South Pole Telescope (SPT), Simons Observatory (SO) and CMB-S4. With the cross-ILC method, we find the total kSZ power spectrum can be measured at very high significance: $35\sigma$ by SPT, $22\sigma$ by SO, and $80\sigma$ by CMB-S4. We forecast constraints on the epoch of reionization using the kSZ power spectrum and find that the duration of reionization, currently unconstrained by {\it Planck}, can be constrained to $\sigma(z_{\rm dur})$= 1.5 (or) 0.5 depending on the choice of $\tau_{\rm re}$ prior. The data products and codes can be downloaded from this https://github.com/sriniraghunathan/cross_ilc_methods_paper.

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S. Raghunathan and Y. Omori
Wed, 19 Apr 23
12/58

Comments: 21 pages, 12 figures, 4 tables; Data products and the associated codes can be downloaded from this https URL; to be submitted to ApJ; Comments welcome

http://arxiv.org/abs/2304.09035

We quantify the evolution of matter and galaxy clustering in cosmological hydrodynamical simulations via correlation and bias functions of matter and galaxies. We use simulations TNG100 and TNG300 with epochs from $z=5$ to $z=0$. We calculate spatial correlation functions of galaxies, $\xi(r)$, for simulated galaxies and dark matter (DM) particles to characterise the evolving cosmic web. We find that bias parameters decrease during the evolution, confirming earlier results. At low and medium luminosities, bias parameters of galaxies, $b_0$, are equal, suggesting that dwarf galaxies reside in the same filamentary web as brighter galaxies. Bias parameters of the lowest luminosity galaxies estimated from CFs are lower relative to CFs of particle density-limited clustered samples of DM. We find that bias parameters $b_0$, estimated from CFs of clustered DM, agree with the expected values from the fraction of particles in the clustered population, $b=1/F_c$. The cosmic web contains filamentary structures of various densities, and fractions of matter in the clustered and the unclustered populations are both less than unity. Thus the CF amplitude of the clustered matter is always higher than for all matter, i.e. bias parameter must be $b>1$. Differences between CFs of galaxies and clustered DM suggest that these functions describe different properties of the cosmic web.

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J. Einasto, G. Hütsi, L. Liivamägi, et. al.
Wed, 19 Apr 23
30/58

Comments: 15 pages, 10 figures, submitted to Monthly Notices of Royal Astronomical Society

http://arxiv.org/abs/2304.08731

The Sunyaev Zel’dovich (SZ) effect is sensitive to the pressure of ionized gas inside galaxy clusters. The gas pressure responds to changes in the gravitational potential of the cluster, which is dominated by the host dark matter halo. Changes in halo concentration therefore impact the SZ signal, with implications for cosmological and other analyses of SZ-selected clusters. We investigate the concentration-SZ relation in theory and simulations. We find that the impact of concentration on the inner SZ profile ($R \lesssim 0.75 R_{200c}$) can be captured with standard polytropic gas models. However, we find that such models do a poor job of reproducing the outer SZ profiles ($R \gtrsim 0.75 R_{200c}$) and the relation between the integrated SZ signal, $Y$, and concentration. This disagreement results from a sharp truncation of the gas pressure profile near the splashback radius, likely caused by virial shocks. We develop a simple description of the truncation that leads to a good match with simulated SZ profiles out to several $R_{200c}$ for clusters of varying mass and concentration, and that also accurately predicts the concentration-$Y$ relationship. Finally, we determine how inference of the linear bias parameter and splashback radius for SZ-selected clusters can be biased by ignoring the concentration dependence of the SZ signal.

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E. Baxter, S. Pandey, S. Adhikari, et. al.
Wed, 19 Apr 23
46/58

Comments: 15 pages, 11 figures; comments welcome!

http://arxiv.org/abs/2304.08192

We present a novel approach for estimating cosmological parameters, $\Omega_m$, $\sigma_8$, $w_0$, and one derived parameter, $S_8$, from 3D lightcone data of dark matter halos in redshift space covering a sky area of $40^\circ \times 40^\circ$ and redshift range of $0.3 < z < 0.8$, binned to $64^3$ voxels. Using two deep learning algorithms, Convolutional Neural Network (CNN) and Vision Transformer (ViT), we compare their performance with the standard two-point correlation (2pcf) function. Our results indicate that CNN yields the best performance, while ViT also demonstrates significant potential in predicting cosmological parameters. By combining the outcomes of Vision Transformer, Convolution Neural Network, and 2pcf, we achieved a substantial reduction in error compared to the 2pcf alone. To better understand the inner workings of the machine learning algorithms, we employed the Grad-CAM method to investigate the sources of essential information in activation maps of the CNN and ViT. Our findings suggest that the algorithms focus on different parts of the density field and redshift depending on which parameter they are predicting. This proof-of-concept work paves the way for incorporating deep learning methods to estimate cosmological parameters from large-scale structures, potentially leading to tighter constraints and improved understanding of the Universe.

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S. Hwang, C. Sabiu, I. Park, et. al.
Tue, 18 Apr 23
9/80

Comments: 20 pages, 9 figures

http://arxiv.org/abs/2304.08326

A source lying near hyperbolic umbilic (HU) leads to a ring-like image formation, constituting four images with high magnification factors and lying in a small region of the lens plane. Since (based on our earlier work) the observed number of HU image formations in cluster lenses is expected to increase in future, it is timely to investigate them in more detail. Like fold and cusp, HU also satisfies the magnification relation, i.e., the signed magnification sum of the four images equals zero. This work presents a detailed study of HU magnification relation ($R_{\rm hu}$) considering the elliptical Navarro-Frenk-White (eNFW) lens profile suitable for cluster scale dark matter halos. Our results show that for an isolated eNFW lens, $R_{\rm hu}$ is more sensitive to ellipticity than its mass or concentration parameter. An ellipticity greater than 0.3 results in $R_{\rm hu}$ lying close to zero with a small scatter around it. A substructure near the HU image formation causes the average $R_{\rm hu}$ value to deviate from zero and increases the scatter, with the amount of deviation depending on the image type near which the substructure lies. However, a population of substructures in the lens plane (equivalent to the galaxy lenses inside the cluster) does not significantly shift the average $R_{\rm hu}$ value from zero but increases the scatter around it. We find that $R_{\rm hu} \simeq 0$ for HU image formation in the Abell 1703 cluster. Repeating this test in other clusters where HU formations are discovered can be a useful indicator of substructure in cluster halos.

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A. Meena and J. Bagla
Tue, 18 Apr 23
28/80

Comments: 18 pages, 17 figures. Comments are welcome!

http://arxiv.org/abs/2304.08427

We present the first detection of the baryon acoustic oscillations (BAO) signal obtained using unblinded data collected during the initial two months of operations of the Stage-IV ground-based Dark Energy Spectroscopic Instrument (DESI). From a selected sample of 261,291 Luminous Red Galaxies spanning the redshift interval 0.4 < z < 1.1 and covering 1651 square degrees with a 57.9% completeness level, we report a ~5 sigma level BAO detection and the measurement of the BAO location at a precision of 1.7%. Using a Bright Galaxy Sample of 109,523 galaxies in the redshift range 0.1 < z < 0.5, over 3677 square degrees with a 50.0% completeness, we also detect the BAO feature at ~3 sigma significance with a 2.6% precision. These first BAO measurements represent an important milestone, acting as a quality control on the optimal performance of the complex robotically-actuated, fiber-fed DESI spectrograph, as well as an early validation of the DESI spectroscopic pipeline and data management system. Based on these first promising results, we forecast that DESI is on target to achieve a high-significance BAO detection at sub-percent precision with the completed 5-year survey data, meeting the top-level science requirements on BAO measurements. This exquisite level of precision will set new standards in cosmology and confirm DESI as the most competitive BAO experiment for the remainder of this decade.

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J. Moon, D. Valcin, M. Rashkovetskyi, et. al.
Tue, 18 Apr 23
37/80

Comments: 17 pages, 10 figures, 4 tables. Submitted to MNRAS

http://arxiv.org/abs/2304.07793

The energy injected from dark matter annihilation and decay processes potentially raises the ionisation of the intergalactic medium and leaves visible footprints on the anisotropy maps of the cosmic microwave background (CMB). Galactic foregrounds emission in the microwave bands contaminate the CMB measurement and may affect the search for dark matter’s signature. In this paper, we construct a full CMB data and foreground simulation based on the design of the next-generation ground-based CMB experiments. The foreground residual after the components separation on maps is fully considered in our data analysis, accounting for various contamination from the emission of synchrotron, thermal dust, free-free and spinning dust. We analyse the corresponding sensitivity on dark matter parameters from the temperature and polarization maps, and we find that the CMB foregrounds leave a non-zero yet controllable impact on the sensitivity. Comparing with statistics-only analysis, the CMB foreground residual leads to a factor of 7%-23% weakening on energy-injection constraints, depending on the specific dark matter process and experimental configuration. Strong limits on dark matter annihilation rate and decay lifetime can be expected after foreground subtraction.

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Z. Zhang, Y. Wang, J. Cang, et. al.
Tue, 18 Apr 23
58/80

Comments: 6 figures, 2 tables. The foreground, mask maps and simulated datasets used in this work are available at this https URL

http://arxiv.org/abs/2304.07283

Gravitational lensing deflects the paths of photons, altering the statistics of cosmic backgrounds and distorting their information content. We take the Cosmic Infrared Background (CIB), which provides a wealth of information about galaxy formation and evolution, as an example to probe the effect of gravitational lensing on non-Gaussian statistics. Using the Websky simulations, we first quantify the non-Gaussianity of the CIB, revealing additional detail on top of its well-measured power spectrum. To achieve this, we use needlet-like multipole-band-filters to calculate the variance and higher-point correlations. We show the 3-point and 4-point spectra, and compare our calculated bispectra to Planck values. We then lens the CIB, shell-by-shell with corresponding convergence maps, to capture the broad redshift extent of both the CIB and its lensing convergence. Using our simulations, we show that the lensed CIB power spectrum and bispectrum agree with observations: the lensing of the CIB changes the 3-point and 4-point functions by a few tens of percent at large scales, unlike with the power spectrum, which changes by less than two percent. We expand our analyses to encompass the full intensity probability distribution functions (PDFs) involving all n-point correlations as a function of scale. In particular we use the relative entropy between lensed and unlensed PDFs to create a spectrum of templates that can allow estimation of lensing. The underlying CIB model has uncertainties, in particular missing the important role of star-bursting, which has a larger effect on higher point correlations than on the variance. We test this by adding a stochastic log-normal term to the intensity distributions. The novel aspects of our filtering and lensing pipeline should prove useful for not just CIB applications, but for any radiant background, including line intensity maps.

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J. Lee, J. Bond, P. Motloch, et. al.
Mon, 17 Apr 23
17/51

Comments: 16 pages, 18 figures

http://arxiv.org/abs/2304.06746

We calculate the neutrino luminosity in an astrophysical scenario where dark matter is captured by a neutron star which eventually implodes to form a low mass black hole. The Trojan horse scenario involves the collapse of a neutron star (NS) due to the accumulation of a critical amount of dark matter (DM) during its lifetime. As a result, a central disk forms out of the ejected material with a finite radial extension, density, temperature, and lepton fraction, producing fainter neutrino luminosities and colder associated spectra than found in a regular core-collapse supernova. The emitted gravitational wave (GW) signal from the imploding NS should be detectable at ultra-high $\gtrsim 0.1$ GHz frequencies.

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Y. Zenati, C. Albertus, M. Pérez-García, et. al.
Mon, 17 Apr 23
41/51

Comments: comments are welcome

http://arxiv.org/abs/2304.06693

The Tip of the Red Giant Branch (TRGB) provides a luminous standard candle for constructing distance ladders to measure the Hubble constant. In practice its measurements via edge-detection response (EDR) are complicated by the apparent fuzziness of the tip and the multi-peak landscape of the EDR. As a result, it can be difficult to replicate due to a case-by-case measurement process. Previously we optimized an unsupervised algorithm, Comparative Analysis of TRGBs (CATs), to minimize the variance among multiple halo fields per host without reliance on individualized choices, achieving state-of-the-art $\sim$ $<$ 0.05 mag distance measures for optimal data. Further, we found an empirical correlation at 5$\sigma$ confidence in the GHOSTS halo survey between our measurements of the tip and their contrast ratios (ratio of stars 0.5 mag just below and above the tip), useful for standardizing the apparent tips at different host locations. Here, we apply this algorithm to an expanded sample of SN Ia hosts to standardize these to multiple fields in the geometric anchor, NGC 4258. In concert with the Pantheon$+$ SN Ia sample, this analysis produces a (baseline) result of $H_0= 73.22 \pm 2.06$ km/s/Mpc. The largest difference in $H_0$ between this and similar studies employing the TRGB derives from corrections for SN survey differences and local flows used in most recent SN Ia compilations but which were absent in earlier studies. SN-related differences total $\sim$ 2.0 km/s/Mpc. A smaller share, $\sim$ 1.4 km/s/Mpc, results from the inhomogeneity of the TRGB calibration across the distance ladder. We employ a grid of 108 variants around the optimal TRGB algorithm and find the median of variants is $72.94\pm1.98$ km/s/Mpc with an additional uncertainty due to algorithm choices of 0.83 km/s/Mpc. None of these TRGB variants result in $H_0$ less than 71.6 km/s/Mpc.

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D. Scolnic, A. Riess, J. Wu, et. al.
Fri, 14 Apr 23
16/64

Comments: Submitted to ApJL, comments welcome

http://arxiv.org/abs/2304.06064

Dark matter subhalos with extended profiles and density cores, and globular stars clusters of mass $10^6-10^8 M_\odot$, that live near the critical curves in galaxy cluster lenses can potentially be detected through their lensing magnification of stars in background galaxies. In this work we study the effect such subhalos have on lensed images, and compare to the case of more well studied microlensing by stars and black holes near critical curves. We find that the cluster density gradient and the extended mass distribution of subhalos are important in determining image properties. Both lead to an asymmetry between the image properties on the positive and negative parity sides of the cluster that is more pronounced than in the case of microlensing. For example, on the negative parity side, subhalos with cores larger than about $50\,$pc do not generate any images with magnification above $\sim 100$ outside of the immediate vicinity of the cluster critical curve. We discuss these factors using analytical and numerical analysis, and exploit them to identify observable signatures of subhalos: subhalos create pixel-to-pixel flux variations of $\gtrsim 0.1$ magnitudes, on the positive parity side of clusters. These pixels tend to cluster around (otherwise invisible) subhalos. Unlike in the case of microlensing, signatures of subhalo lensing can be found up to $1”$ away from the critical curves of massive clusters.

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L. Williams, P. Kelly, T. Treu, et. al.
Fri, 14 Apr 23
19/64

Comments: ApJ, submitted, 21 pages, 17 figures