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These data are from a short deployment of the UC Davis Halo Streamline scanning lidar. The scanning lidar was deployed 880 m south of the NEON tower and in the same location as the field profiling lidar that was deployed later in spring 2024.
These data include raw scanning Doppler lidar measurements from the deployment of the NREL HALO XR+ (s/n 235) at the A1 site. The raw measurements include uncalibrated beam azimuth angles, radial velocity, backscatter, signal to noise ratio per each line of sight, and range-gate.
These data include raw scanning Doppler lidar measurements from the deployment of the NREL HALO XR+ (s/n 235) at the A1 site. The processed measurements include uncalibrated beam azimuth angles, radial velocity, backscatter, signal to noise ratio per each line of sight, and range-gate.
This dataset contains high-frequency vertical velocity recorded by fixed-point vertical scans done by the University of Virginia Halo Streamline scanning lidar at the MLBS station. The quality control is performed according to the algorithm of Goring & Nikora (2002).
This dataset contains high-frequency vertical velocity recorded by fixed-point vertical scans done by the Lawrence Livermore National Laboratory Halo Streamline scanning lidar at Tree Tops. The quality control is performed according to the algorithm of Goring & Nikora (2002).
This dataset contains high-frequency vertical velocity recorded by fixed-point vertical scans done by the UC Davis Halo Streamline scanning lidar. The quality control is performed according to the algorithm of Goring & Nikora (2002).
This dataset contains high-frequency wind profiles from ground-based NLR Halo XR+ 235 performing six-beam scans.
This dataset contains 10-minute wind statistics from ground-based NLR Halo XR+235 performing six-beam scans.
This dataset contains formatted lidar data from ground-based NLR Halo XR+235.
This dataset contains raw lidar data from ground-based NLR Halo XR+235.
This dataset contains raw lidar data from the ground-based NLR Halo XR+ 200.
This dataset contains raw lidar data from the ground-based NLR Halo XR+ 200.
This dataset contains raw lidar data from ground-based NLR Halo XR+ 199.
This dataset contains formatted lidar data from ground-based NLR Halo XR+ 199.
This dataset contains formatted lidar data from ground-based NLR Halo XR+ 200.
I report the discovery that the ninth-mag Galactic-halo star BD+14°3061 is a member of the rare class of luminous metal-poor “yellow post-AGB” stars. Its Gaia DR2 parallax implies an absolute magnitude of M V = -3.44 ± 0.27, and it is a very high-velocity star moving in a retrograde Galactic orbit. BD+14°3061 is a field analog of the half-dozen yellow PAGB stars known in Galactic globular clusters, which have closely similar absolute magnitudes. These objects are the visually brightest members of old stellar populations; their apparently narrow luminosity function makes them potentially useful as Population II standard candles. The spectral-energy distribution of BD+14°3061 out to 22 μm shows no evidence for circumstellar dust. The star is a low-amplitude semiregular pulsating variable, with typical periods of 30–32 days. A radial-velocity study suggests that it is a spectroscopic binary with a period of 429.6 days, making it similar to known binary yellow PAGB stars such as HD 46703 and BD+39°4926.
Here we provide the most comprehensive determinations of the rest-frame UV luminosity function (LF) available to date with the Hubble Space Telescope (HST) at z ~ 2–9. Essentially all of the noncluster extragalactic legacy fields are utilized, including the Hubble Ultra Deep Field, the Hubble Frontier Fields parallel fields, and all five CANDELS fields, for a total survey area of 1136 arcmin{sup 2}. Our determinations include galaxies at z ~ 2–3 leveraging the deep HDUV, UVUDF, and ERS WFC3/UVIS observations available over an ~150 arcmin{sup 2} area in the GOODS-North and GOODS-South regions. All together, our collective samples include >24,000 sources, >2.3× larger than previous selections with HST. We identify 5766, 6332, 7240, 3449, 1066, 601, 246, and 33 sources at z ~ 2, 3, 4, 5, 6, 7, 8, and 9, respectively. Combining our results with an earlier z ~ 10 LF determination by Oesch et al., we quantify the evolution of the UV LF. Our results indicate that there is (1) a smooth flattening of the faint-end slope α from α ~ -2.4 at z ~ 10 to α ~ -1.5 at z ~ 2, (2) minimal evolution in the characteristic luminosity M* at z ≥ 2.5, and (3) a monotonic increase in the normalization log{sub 10}ϕ* from z ~ 10 to 2, which can be well described by a simple second-order polynomial, consistent with an “accelerated” evolution scenario. We find that each of these trends (from z ~ 10 to 2.5 at least) can be readily explained on the basis of the evolution of the halo mass function and a simple constant star formation efficiency model.
We study the cross-correlation of damped Lyα systems (DLAs) and their background quasars, using the most updated DLA catalog and the Planck 2018 CMB lensing convergence field. Our measurement suggests that the DLA bias b DLA is smaller than 3.1, corresponding to log (M/M ⊙ h -1 ) ⩽ 12.3 at a confidence of 90%. These constraints are broadly consistent with Alonso et al. and previous measurements by cross-correlation between DLAs and the Lyα forest (e.g., Font-Ribera et al.; Prez-Rfols et al.). Further, our results demonstrate the potential of obtaining a more precise measurement of the halo mass of the high-redshift sources using next generation CMB experiments with a higher angular resolution. The python-based codes and data products of our analysis are available at https://github.com/LittleLin1999/CMB-lensingxDLA.