2022-W49-2

Nature&Science

JWST

2211.10487

  • Early Release Science of the exoplanet WASP-39b with JWST NIRSpec PRISM

2211.10488

  • Early Release Science of the Exoplanet WASP-39b with JWST NIRSpec G395H

2211.10489

  • Early Release Science of the exoplanet WASP-39b with JWST NIRCam

2211.10490

  • Direct Evidence of Photochemistry in an Exoplanet Atmosphere

Galaxy

2211.11709

  • Euclid legacy science prospects

dwarf galaxy

2211.10695

  • The Isaac Newton Telescope monitoring survey of Local Group dwarf galaxies--V. The star formation history of Sagittarius dwarf irregular galaxy derived from long period variable stars

Black hole binary

2211.11431

  • Broadband Spectral properties of MAXI J1348--630 using AstroSat Observations

SMBH

accretion flow

2211.10710

  • The propertities of wind and jet from a super-Eddington accretion flow around a supermassive black hole

Supernova

2211.10544

  • The luminous type Ia supernova 2022ilv and its early excess emission

AGN

2211.10987

  • Finding active galactic nuclei through Fink

AGN torus

2211.11022

  • Dusty plasma in active galactic nuclei

Dust

2211.11421

  • Diversity of dust properties in external galaxies confirmed by polarization signals from Type II supernovae

Cosmic ray

2211.11625

  • Massive star cluster origin for the galactic cosmic ray population at very-high energies

FAST

2211.11299

  • Peering into the Milky Way by FAST: I. Exquisite HI structures in the inner Galactic disk from the piggyback line observations of the FAST GPPS survey

2211.11301

  • Peering into the Milky Way by FAST: II. Ionized gas in the inner Galactic disk revealed by the piggyback line observations of the FAST GPPS survey

2211.11302

  • Peering into the Milky Way by FAST: III. Magnetic fields in the Galactic halo and farther spiral arms revealed by the Faraday effect of faint pulsars

2211.11408

  • Peering into the Milky Way by FAST: IV. Identification of two new Galactic supernova remnants G203.1+6.6 and G206.7+5.9

Deep learning

2211.11462

  • 3D Detection and Characterisation of ALMA Sources through Deep Learning
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