141 research outputs found
Optimization and Quality Assessment of Baryon Pasting for Intracluster Gas using the Borg Cube Simulation
Synthetic datasets generated from large-volume gravity-only simulations are
an important tool in the calibration of cosmological analyses. Their creation
often requires accurate inference of baryonic observables from the dark matter
field. We explore the effectiveness of a baryon pasting algorithm in providing
precise estimations of three-dimensional gas thermodynamic properties based on
gravity-only simulations. We use the Borg Cube, a pair of simulations
originating from identical initial conditions, with one run evolved as a
gravity-only simulation, and the other incorporating non-radiative
hydrodynamics. Matching halos in both simulations enables comparisons of gas
properties on an individual halo basis. This comparative analysis allows us to
fit for the model parameters that yield the closest agreement between the gas
properties in both runs. To capture the redshift evolution of these parameters,
we perform the analysis at five distinct redshift steps, spanning from to
. We find that the investigated algorithm, utilizing information solely from
the gravity-only simulation, achieves few-percent accuracy in reproducing the
median intracluster gas pressure and density, albeit with a scatter of
approximately 20%, for cluster-scale objects up to . We measure the
scaling relation between integrated Compton parameter and cluster mass
(), and find that the imprecision of baryon pasting adds
less than 5% to the intrinsic scatter measured in the hydrodynamic simulation.
We provide best-fitting values and their redshift evolution, and discuss future
investigations that will be undertaken to extend this work.Comment: 14 pages, 8 figures, 3 tables; accepted in the Open Journal of
Astrophysic
NIKA2 observations of dust grain evolution from star-forming filament to T-Tauri disk: Preliminary results from NIKA2 observations of the Taurus B211/B213 filament
To understand the evolution of dust properties in molecular clouds in the
course of the star formation process, we constrain the changes in the dust
emissivity index from star-forming filaments to prestellar and protostellar
cores to T Tauri stars. Using the NIKA2 continuum camera on the IRAM 30~m
telescope, we observed the Taurus B211/B213 filament at 1.2\,mm and 2\,mm with
unprecedented sensitivity and used the resulting maps to derive the dust
emissivity index . Our sample of 105 objects detected in the map
of the B211/B213 filament indicates that, overall, decreases from
filament and prestellar cores () to protostellar cores
() to T-Tauri protoplanetary disk (). The
averaged dust emissivity index across the B211/B213 filament exhibits a
flat () profile. This may imply that dust grain sizes are
rather homogeneous in the filament, start to grow significantly in size only
after the onset of the gravitational contraction/collapse of prestellar cores
to protostars, reaching big sizes in T Tauri protoplanetary disks. This
evolution from the parent filament to T-Tauri disks happens on a timescale of
about 1-2~Myr.Comment: to appear in Proc. of the mm Universe 2023 conference, Grenoble
(France), June 2023, published by F. Mayet et al. (Eds), EPJ Web of
conferences, EDP Science
IAS/CEA Evolution of Dust in Nearby Galaxies (ICED): the spatially-resolved dust properties of NGC4254
We present the first preliminary results of the project \textit{ICED},
focusing on the face-on galaxy NGC4254. We use the millimetre maps observed
with NIKA2 at IRAM-30m, as part of the IMEGIN Guaranteed Time Large Program,
and of a wide collection of ancillary data (multi-wavelength photometry and gas
phase spectral lines) that are publicly available. We derive the global and
local properties of interstellar dust grains through infrared-to-radio spectral
energy distribution fitting, using the hierarchical Bayesian code HerBIE, which
includes the grain properties of the state-of-the-art dust model, THEMIS. Our
method allows us to get the following dust parameters: dust mass, average
interstellar radiation field, and fraction of small grains. Also, it is
effective in retrieving the intrinsic correlations between dust parameters and
interstellar medium properties. We find an evident anti-correlation between the
interstellar radiation field and the fraction of small grains in the centre of
NGC4254, meaning that, at strong radiation field intensities, very small
amorphous carbon grains are efficiently destroyed by the ultra-violet photons
coming from newly formed stars, through photo-desorption and sublimation. We
observe a flattening of the anti-correlation at larger radial distances, which
may be driven by the steep metallicity gradient measured in NGC4254.Comment: to appear in Proc. of the mm Universe 2023 conference, Grenoble
(France), June 2023, published by F. Mayet et al. (Eds), EPJ Web of
conferences, EDP Science
NIKA2 observations of 3 low-mass galaxy clusters at : pressure profile and - relation
Three galaxy clusters selected from the XXL X-ray survey at high redshift and
low mass ( and M) were
observed with NIKA2 to image their Sunyaev-Zel'dovich effect (SZ) signal. They
all present an SZ morphology, together with the comparison with X-ray and
optical data, that indicates dynamical activity related to merging events.
Despite their disturbed intracluster medium, their high redshifts, and their
low masses, the three clusters follow remarkably well the pressure profile and
the SZ flux-mass relation expected from standard evolution. This suggests that
the physics that drives cluster formation is already in place at
down to M.Comment: to appear in Proc. of the mm Universe 2023 conference, Grenoble
(France), June 2023, published by F. Mayet et al. (Eds), EPJ Web of
conferences, EDP Science
Exploring the interstellar medium of NGC 891 at millimeter wavelengths using the NIKA2 camera
In the framework of the IMEGIN Large Program, we used the NIKA2 camera on the
IRAM 30-m telescope to observe the edge-on galaxy NGC 891 at 1.15 mm and 2 mm
and at a FWHM of 11.1" and 17.6", respectively. Multiwavelength data enriched
with the new NIKA2 observations fitted by the HerBIE SED code (coupled with the
THEMIS dust model) were used to constrain the physical properties of the ISM.
Emission originating from the diffuse dust disk is detected at all wavelengths
from mid-IR to mm, while mid-IR observations reveal warm dust emission from
compact HII regions. Indications of mm excess emission have also been found in
the outer parts of the galactic disk. Furthermore, our SED fitting analysis
constrained the mass fraction of the small (< 15 Angstrom) dust grains. We
found that small grains constitute 9.5% of the total dust mass in the galactic
plane, but this fraction increases up to ~ 20% at large distances (|z| > 3 kpc)
from the galactic plane.Comment: To appear in Proc. of the mm Universe 2023 conference, Grenoble
(France), June 2023, published by F. Mayet et al. (Eds), EPJ Web of
conferences, EDP Science
The XXL Survey: XLIV. Sunyaev-Zelâdovich mapping of a low-mass cluster at z ⌠1: a multi-wavelength approach
High-mass clusters at low redshifts have been intensively studied at various wavelengths. However, while more distant objects at lower masses constitute the bulk population of future surveys, their physical state remain poorly explored to date. In this paper, we present resolved observations of the Sunyaev-Zelâdovich (SZ) effect, obtained with the NIKA2 camera, towards the cluster of galaxies XLSSC 102, a relatively low-mass system (M500ââŒâ2â
Ăâ
1014âMâ) at zâ=â0.97 detected from the XXL survey. We combine NIKA2 SZ data, XMM-Newton X-ray data, and Megacam optical data to explore, respectively, the spatial distribution of the gas electron pressure, the gas density, and the galaxies themselves. We find significant offsets between the X-ray peak, the SZ peak, the brightest cluster galaxy, and the peak of galaxy density. Additionally, the galaxy distribution and the gas present elongated morphologies. This is interpreted as the sign of a recent major merging event, which induced a local boost of the gas pressure towards the north of XLSSC 102 and stripped the gas out of the galaxy group. The NIKA2 data are also combined with XXL data to construct the thermodynamic profiles of XLSSC 102, obtaining relatively tight constraints up to about âŒr500, and revealing properties that are typical of disturbed systems. We also explore the impact of the cluster centre definition and the implication of local pressure substructure on the recovered profiles. Finally, we derive the global properties of XLSSC 102 and compare them to those of high-mass-and-low-redshift systems, finding no strong evidence for non-standard evolution. We also use scaling relations to obtain alternative mass estimates from our profiles. The variation between these different mass estimates reflects the difficulty to accurately measure the mass of low-mass clusters at zââŒâ1, especially with low signal-to-noise ratio data and for a disturbed system. However, it also highlights the strength of resolved SZ observations alone and in combination with survey-like X-ray data. This is promising for the study of high redshift clusters from the combination of eROSITA and high resolution SZ instruments and will complement the new generation of optical surveys from facilities such as LSST and Euclid
A Measurement of Gravitational Lensing of the Cosmic Microwave Background Using SPT-3G 2018 Data
We present a measurement of gravitational lensing over 1500 deg of the
Southern sky using SPT-3G temperature data at 95 and 150 GHz taken in 2018. The
lensing amplitude relative to a fiducial Planck 2018 CDM cosmology is
found to be , excluding instrumental and astrophysical
systematic uncertainties. We conduct extensive systematic and null tests to
check the robustness of the lensing measurements, and report a minimum-variance
combined lensing power spectrum over angular multipoles of , which
we use to constrain cosmological models. When analyzed alone and jointly with
primary cosmic microwave background (CMB) spectra within the CDM
model, our lensing amplitude measurements are consistent with measurements from
SPT-SZ, SPTpol, ACT, and Planck. Incorporating loose priors on the baryon
density and other parameters including uncertainties on a foreground bias
template, we obtain a constraint on using the SPT-3G 2018 lensing data alone, where
is a common measure of the amplitude of structure today and
is the matter density parameter. Combining SPT-3G 2018 lensing
measurements with baryon acoustic oscillation (BAO) data, we derive parameter
constraints of , , and Hubble constant
km s Mpc. Using CMB anisotropy and lensing measurements from
SPT-3G only, we provide independent constraints on the spatial curvature of
(95% C.L.) and the dark energy density
of (68% C.L.). When combining SPT-3G
lensing data with SPT-3G CMB anisotropy and BAO data, we find an upper limit on
the sum of the neutrino masses of eV (95% C.L.)
SPT Clusters with DES and HST Weak Lensing. I. Cluster Lensing and Bayesian Population Modeling of Multi-Wavelength Cluster Datasets
We present a Bayesian population modeling method to analyze the abundance of
galaxy clusters identified by the South Pole Telescope (SPT) with a
simultaneous mass calibration using weak gravitational lensing data from the
Dark Energy Survey (DES) and the Hubble Space Telescope (HST). We discuss and
validate the modeling choices with a particular focus on a robust,
weak-lensing-based mass calibration using DES data. For the DES Year 3 data, we
report a systematic uncertainty in weak-lensing mass calibration that increases
from 1\% at to 10\% at , to which we add 2\% in quadrature to
account for uncertainties in the impact of baryonic effects. We implement an
analysis pipeline that joins the cluster abundance likelihood with a
multi-observable likelihood for the SZ, optical richness, and weak-lensing
measurements for each individual cluster. We validate that our analysis
pipeline can recover unbiased cosmological constraints by analyzing mocks that
closely resemble the cluster sample extracted from the SPT-SZ, SPTpol~ECS, and
SPTpol~500d surveys and the DES Year~3 and HST-39 weak-lensing datasets. This
work represents a crucial prerequisite for the subsequent cosmological analysis
of the real dataset.Comment: submitted to PR
panco2: a Python library to measure intracluster medium pressure profiles from Sunyaev-Zeldovich observations
We present panco2, an open-source Python library designed to extract galaxy cluster pressure profiles from maps of the thermal Sunyaev-Zeldovich effect. The extraction is based on forward modeling of the total observed signal, allowing to take into account usual features of millimeter observations, such as beam smearing, data processing filtering, and point source contamination. panco2 offers a large flexibility in the inputs that can be handled and in the analysis options, enabling refined analyses and studies of systematic effects. We detail the functionalities of the code, the algorithm used to infer pressure profile measurements, and the typical data products. We present examples of running sequences, and the validation on simulated inputs. The code is available on GitHub at https://github.com/fkeruzore/panco2, and comes with an extensive technical documentation to complement this paper at https://panco2.readthedocs.io
panco2: a Python library to measure intracluster medium pressure profiles from Sunyaev-Zeldovich observations
We present panco2, an open-source Python library designed to extract galaxy cluster pressure profiles from maps of the thermal Sunyaev-Zeldovich effect. The extraction is based on forward modeling of the total observed signal, allowing to take into account usual features of millimeter observations, such as beam smearing, data processing filtering, and point source contamination. panco2 offers a large flexibility in the inputs that can be handled and in the analysis options, enabling refined analyses and studies of systematic effects. We detail the functionalities of the code, the algorithm used to infer pressure profile measurements, and the typical data products. We present examples of running sequences, and the validation on simulated inputs. The code is available on GitHub at https://github.com/fkeruzore/panco2, and comes with an extensive technical documentation to complement this paper at https://panco2.readthedocs.io
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