SOFIA observations provide the first experimental magnetic-dipole hyperfine constants for [13C II] and refined centroid frequency using astronomical data.
Title resolution pending
177 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
claims ledger
- background 2023; Contreras et al. 2023a; Ortega- Martinez et al. 2024). Each emulator can vary the SHAMe-SF parameters, cosmological parameters (σ8,Ω m,Ω b,n s,handM ν), redshift, and number density simultaneously within the follow- ing ranges for the SHAMe-SF parameters: β∈[0,20] γ∈[−10,25] ∆γ∈[−10,10] V1 ∈[10 1.2,10 3.5] (km/s) ∆V1 ∈[10 0.2,10 1.9] (km/s) σ∈[0,1.7] fk,(cen+sat)/2 ∈[−1,1] fk,(cen−sat)/2 ∈[−1,1] α0 ∈[0,8] αexp ∈[−8,8] (4) Mcrit ∈[9,14.5] (log(h −1M⊙)), for the cosmological parameters: σ8 ∈
authors
co-cited works
fields
astro-ph.GA 83 astro-ph.HE 38 astro-ph.CO 17 astro-ph.EP 15 astro-ph.SR 12 astro-ph.IM 7 gr-qc 2 cs.LG 1 physics.plasm-ph 1 stat.ML 1roles
background 3polarities
background 3representative citing papers
TopoFisher optimizes trainable filtrations, vectorizations, and compressors in persistent homology to maximize Fisher information, yielding higher information than fixed cosmological summaries and approaching neural baselines with far fewer parameters while generalizing better under simulator shifts
JWST nebular spectra detect cooling ~400 K carbonaceous dust emission in normal SN Ia 2023qov at +276 and +363 days, modeled as pre-existing circumstellar dust with mass ~10^{-4} M_sun located within ~1 light year.
Dust grain size distributions evolve from large-grain dominated at high redshift to MRN-like at low redshift, driven primarily by shattering and ISM accretion after stars supply initial large grains, reproducing z=0 dust masses and Milky Way extinction properties.
The eRASS1 data release catalogs nearly 930,000 X-ray sources from the first six months of the eROSITA survey, increasing known sources by over 60% and resolving 20% of the 1-2 keV cosmic X-ray background.
EHT data show a 51.8 microarcsecond ring around Sgr A* consistent with the shadow of a 4 million solar mass Kerr black hole viewed at moderate inclination.
A W-Net deep learning model detects asteroids in TESS data independently of trajectory by rotating training image cubes and using adaptive normalization for data scaling.
MELTYQ couples magma-atmosphere equilibrium models with spectral retrievals to constrain sub-Neptune magma oxidation states and volatile inventories from transmission spectra.
Spectroscopic members of the M92 stream yield a Milky Way bar pattern speed of 29.1 +0.7/-0.4 km s^{-1} kpc^{-1}.
New publicly available X-ray table models RXToPo and RXagn1 with realistic AGN geometries (torus, polar cone, disk, BLR) generated via RefleX and tested on NGC 424.
Lumen modeling of IllustrisTNG50 shows that high ionization parameters from massive star clusters plus enhanced nitrogen abundances are needed to reproduce the extreme [OIII]/Hβ, [OIII]/[OII], and [NII]/Hα ratios seen in z>3 galaxies.
Direct [OIII]4364-based metallicities show that galaxies with stellar masses 10^6.7-9 solar masses at z~6-8 are 0.3-0.5 dex more metal-poor than local galaxies of the same mass, with slope 0.25 and 0.2 dex scatter.
A new fitting methodology applied to UV absorption data recovers radial trends in galactic wind velocities and mass-loading factors by constraining initial hot and cool phase parameters in a multiphase model.
Cosmic ray transport in molecular cloud simulations boosts star formation efficiency by up to 43% and yields a top-heavier IMF with a high-mass slope shallower by ~20%.
First implementation of the complete Braginskii magnetized viscosity tensor in FLASH shows it damps vortices, converts kinetic energy to heat, reduces Rayleigh-Taylor growth, and preserves yield in MagLIF-relevant runs.
Massive black hole binary mergers produce orphaned low-frequency signals in PTA pulsar terms that can be stacked for archival multiband gravitational-wave detection.
Empirical isochrones in photometric diagrams enable identification of unresolved binaries in eight nearby open clusters, yielding binary fractions of 0.16-0.44 and mass ratio modes around 0.4-0.8.
A JWST census detects neutral ISM absorption in 76 of 309 galaxies at 0.6<z<4 and outflows in 26, indicating AGN-driven neutral outflows dominate in quiescent systems at cosmic noon.
New JWST and Keck data on off-nuclear TDE 2025abcr show shifting emission-line velocities from a changing reprocessing layer and an IR power-law slope of -2.13 that is consistent with either reprocessing gas or a young stellar cluster of mass ~10^7.6 solar masses.
The double-white-dwarf model for sources like CHIME/ILT J1634+44 predicts a beat-period drift of |P_b dot| ~ 10^{-10} s s^{-1}, producing tens of seconds of O-C timing drift in one year and enabling a minimal falsifiable test via joint period and derivative measurements.
First obliquity measurement in an M dwarf binary shows alignment, with tentative evidence that aligned orbits around cool stars and wide separations also hold for brown dwarfs and binaries.
Simulations indicate the Balmer decrement can serve as a diagnostic to identify inflowing gas in front of face-on galaxies, showing a mean front-back offset of approximately -0.14 despite scatter from clumpy dust.
Filament dark matter density profiles become nearly universal when scaled by terminal halo virial radii, with the inner cusp produced by embedded halos and the smooth component showing a flat core that evolves from smooth to clumpy accretion.
Bar pattern speeds anti-correlate with stellar and total dynamical mass in 30 galaxies, placing the slowest bars in the most massive systems and supporting angular momentum transfer to dark matter.
citing papers explorer
-
Universal Dark-matter Density Profiles of Cosmic Filaments
Filament dark matter density profiles become nearly universal when scaled by terminal halo virial radii, with the inner cusp produced by embedded halos and the smooth component showing a flat core that evolves from smooth to clumpy accretion.
-
FLAMINGO: The thermal history of the Universe from tSZ effect cross-correlations and its dependencies on cosmology and baryon physics
tSZ cross-correlations with large-scale structure tracers prefer low S8 and strong baryonic feedback, yielding S8 = 0.72 and low group baryon fraction in FLAMINGO simulations.
-
Cosmological constraints from the small scale clustering of Emission Line Galaxies
SHAMe-SF modeling of small-scale DESI ELG clustering delivers 6% precision on σ8 and Ωm h², matching full DR1 results with 1% volume.
-
Old Universe, Young SNe Ia: A Statistical Analysis of Type Ia Supernova Progenitor Age from 6,983 TITAN Host Galaxies, and Implications for Cosmology
Large sample of SN Ia hosts shows young mean progenitor age of 3.5 Gyr and only 1.5 Gyr evolution, leading to negligible cosmological bias of 0.007 mag.
-
On the origin of the BAOtr-DESI tension
No CMB-consistent CPL dark energy model can simultaneously fit both the BAOtr and DESI datasets; the 3.7-sigma disagreement at z=0.51 sets an irreducible floor.
-
The Pantheon+ Analysis: Cosmological Constraints
Pantheon+ delivers tighter SN Ia constraints on Ω_M, w0, wa, and H0 from 1550 events, consistent with a cosmological constant, with SN systematics contributing less than one third to H0 uncertainty.
-
Reionisation time field reconstruction from 21-cm Maps: Investigating predictor coherence in WDM cosmology
CNNs for reionisation time reconstruction from 21-cm maps are coherent for CDM and 5-7 keV WDM but show clear deviations for 2-3 keV WDM, indicating retained sensitivity to the training model.
-
On the origin of the environmental step: A BayeSN view of the ZTF SN Ia DR2
BayeSN analysis of ZTF Type Ia supernovae confirms a ~0.1 mag intrinsic environmental step in standardized brightness that is not explained by differences in dust extinction properties.
-
The MeerKAT Fornax Survey VII. Characterisation of the Fornax cluster's magnetic field and new insights on magnetisation in large scale systems
Fornax cluster magnetic field follows a power-law spectrum of slope ~2.7 with central strength ~5 μG scaling as n^1.6, consistent with recent central re-amplification and trends across 17 clusters.
-
Galaxy Populations in the IllustrisTNG Caustic Skeleton
Galaxy properties in IllustrisTNG form a continuum across the multiscale caustic skeleton, with formation time of web components influencing colors and star formation activity.
-
Inferring Halo Mass and Scale Radius of Galaxy Clusters Using Convolutional Neural Networks and Uchuu-UniverseMachine Catalogs
Convolutional neural networks can infer galaxy cluster virial masses and scale radii from 2D projected position and line-of-sight velocity distributions with nearly unbiased results and reduced scatter when richness is added or training is limited to relaxed systems.
-
The Pantheon+ Analysis: The Full Dataset and Light-Curve Release
Pantheon+ releases 1701 light curves from 1550 spectroscopically confirmed Type Ia supernovae across 18 surveys for cosmological inference.
-
UNIONS-3500 Weak Lensing: IV. 2D cosmological constraints in harmonic space
UNIONS weak lensing data constrains S8 to 0.891^{+0.057}_{-0.084} in non-tomographic harmonic space, consistent with Planck at 0.79 sigma under LambdaCDM.
-
Emergence of Complex Structures
Coarse-grained spatial ordering can increase during structure formation even as full phase-space entropy grows through nonlocal transport, Jacobian-governed density amplification, and activation of lower free-energy branches in a Landau-Ginzburg description.
-
Low-ionization Metal Absorption at $0.7 \lesssim z \lesssim 2$ Confronting Cosmological Simulations with Observations
IllustrisTNG with a uniform UVB reproduces observed MgI, MgII and FeII column-density PDFs and low-EW MgII incidence but underestimates the number of strong MgII systems and fails to capture their rise toward z~2.
-
Planck 2018 results. X. Constraints on inflation
Updated Planck CMB measurements give ns = 0.9649 ± 0.0042, r < 0.056, confirm flatness at 0.4 percent, and show no evidence for scale-dependent features or non-slow-roll dynamics in the inflaton potential.
-
Machine-learning applications for weak-lensing cosmology
Machine learning techniques can mitigate limitations in traditional weak-lensing analyses and enhance extraction of cosmological information from galaxy imaging surveys.