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207 results on '"Dai, Y. -S."'

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1. Emission-line galaxies at $z\sim1$ from near-IR HST Slitless Spectroscopy: metallicities, star formation rates and redshift confirmations from VLT/FORS2 spectroscopy

2. WFC3 Infrared Spectroscopic Parallel (WISP) Survey: Photometric and Emission Line Data Release

3. The true number density of massive galaxies in the early Universe revealed by JWST/MIRI

4. Deep HI Mapping of Stephan's Quintet and Its Neighborhood

5. A Diverse Population of z ~ 2 ULIRGs Revealed by JWST Imaging

6. The SCUBA-2 Large eXtragalactic Survey: 850um map, catalogue and the bright-end number counts of the XMM-LSS field

7. A 0.6 Mpc HI Structure Associated with Stephan's Quintet

8. The average dust attenuation curve at z~1.3 based on HST grism surveys

9. Identification of single spectral lines in large spectroscopic surveys using UMLAUT: an Unsupervised Machine Learning Algorithm based on Unbiased Topology

10. A Complete 16 micron-Selected Galaxy Sample at $z\sim1$: Mid-infrared Spectral Energy Distributions

11. Identification of single spectral lines through supervised machine learning in a large HST survey (WISP): a pilot study for Euclid and WFIRST

14. The role of quenching time in the evolution of the mass-size relation of passive galaxies from the WISP survey

15. WFC3 Infrared Spectroscopic Parallel (WISP) survey: photometric and emission-line data release.

16. Mid- to far infrared properties of star-forming galaxies and active galactic nuclei

17. Deep H i Mapping of Stephan’s Quintet and Its Neighborhood

18. Final State Interactions in $D^0 \to K^0 \bar{K^0}$

19. The SCUBA-2 Large eXtragalactic Survey: 850μm map, catalogue and the bright-end number counts of theXMM-LSS field

20. Erratum: “Identification of Single Spectral Lines in Large Spectroscopic Surveys Using UMLAUT: an Unsupervised Machine-learning Algorithm Based on Unbiased Topology” (2021, ApJS, 257, 67)

21. The SCUBA-2 Large eXtragalactic Survey: 850μm map, catalogue and the bright-end number counts of the XMM-LSS field.

22. The average dust attenuation curve at z ∼ 1.3 based on HST grism surveys

23. Erratum: Identification of single spectral lines in large spectroscopic surveys using UMLAUT: An unsupervised machine-learning algorithm based on unbiased topology (Astrophysical Journal, Supplement Series (2021) 257 (67) DOI: 10.3847/1538-4365/ac250c)

24. Identification of Single Spectral Lines in Large Spectroscopic Surveys Using UMLAUT: an Unsupervised Machine-learning Algorithm Based on Unbiased Topology

25. average dust attenuation curve at z ∼ 1.3 based on HST grism surveys.

26. Predicting the Redshift 2 H-Alpha Luminosity Function Using [OIII] Emission Line Galaxies

27. A Complete 16 μm Selected Galaxy Sample at z ∼ 1: Mid-infrared Spectral Energy Distributions

28. Search for ψ(3770)→ charmless final states involving η or π 0 mesons

29. Experimental studies of e + e −→ some charmless processes containing K S 0 at $\sqrt{s}=3.773$ and 3.65 GeV

30. A 0.6 Mpc H istructure associated with Stephan’s Quintet

35. Identification of Single Spectral Lines through Supervised Machine Learning in a Large HST Survey (WISP): A Pilot Study for Euclid and WFIRST

40. THE ROLE OF QUENCHING TIME IN THE EVOLUTION OF THE MASS–SIZE RELATION OF PASSIVE GALAXIES FROM THE WISP SURVEY

41. PREDICTING THE REDSHIFT 2 HαLUMINOSITY FUNCTION USING [O iii] EMISSION LINE GALAXIES

43. First observation of $J/\psi $ and $\psi \left(2S\right)$ decaying to $n{K}_{S}^{0}\overline{\Lambda }+\text{c.c.}$

44. Search for the rare decays $J/\psi \to {D}_{s}^{-}{\pi }^{+}$, $J/\psi \to {D}^{-}{\pi }^{+}$, and $J/\psi \to {\overline{D}}^{0}{\overline{K}}^{0}$

45. Measurements of the absolute branching fractions for the semileptonic decays D0 -> K-mu+nu_mu and D0 -> pi-mu+nu_mu

47. First evidence of ψ(2 S ) → Ω − +

48. Measurement of J/ψ decays into ΛbarLambda π + π −

49. Measurement of the asymmetry parameter for the decayΛ¯→p¯π+

50. Partial wave analysis ofJ/ψ→pp¯π0

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