Impact of Radio Frequency Interference and Real-Time Spectral Kurtosis Mitigation

We catalog the ubiquity of Radio Frequency Interference (RFI) plaguing every modern radio telescope and investigate several ways to mitigate it in order to create better science-ready data products for astronomers. There are a myriad of possible RFI sources, including satellite uplinks and downlinks, cellular communications, air traffic radar, and natural sources such as lightning. Real-time RFI mitigation strategies must take these RFI characteristics into account, as the interfering signals can look significantly different at very high time and frequency resolutions. We examine Spectral Kurtosis (SK) as a real-time statistical RFI detection method, and compare its flagging efficacy against simulated RFI witha wide range of signal characteristics. We found to be weak against signals with a 50% effective duty cycle, as well as low signal-to-noise ratio sidelobe spillover from strong and frequency-wide RFI. Coarsening the SK time resolution improved flagging, as did using multi-scale SK, which averages adjacent time-frequency pixels with small rolling windows to circumvent the weakness to 50% duty cycle signals. Multiscale SK raised flagging above 90% for almost all cases, and as long as the amount of channels included in the multi-scale window wasn’t wider than the RFI signal, there was no significant increase in false positive rate. Simulated realistic incoherent astronomical signals were not detected by SK at all, as expected. To simulate real-time SK RFI detection in a real data set, raw, unaveraged data was taken with the Robert C. Byrd Green Bank Telescope (GBT). The observation targets included one pulsar, two neutral hydrogen (HI) galaxies, the Milky Way HI emission, and a hydroxyl megamaser. These targets are all easily observable on short timescales but are also nearby several sources of RFI. Flagged data was replaced with representative Gaussian noise using the statistics of adjacent time-frequency pixels. We run different variations of SK detection on copies of the raw datasets and compared to the original, to see how well the RFI was removed and if the science data product was affected in any way. The spectral line targets are all completely ignored by SK , while the pulsar results decreased in quality due to the noise replacement averaging over the time variable structure, unless care was taken to flag data on timescales shorter than the pulse length. In these cases, single pulse signal-to-noise ratio was marginally improved

A game-factors approach to cognitive benefits from video-game training: A meta-analysis.

This current study is a meta-analysis conducted on 63 studies on video-game based cognitive interventions (118 investigations, N = 2,079), which demonstrated a moderate and significant training effect on overall gains in cognition, g = 0.25, p < .001. Significant evidence of transfer was found to overall cognition, as well as to attention/perception and higher-order cognition constructs. Examination of specific gameplay features however showed selective and differential transfer to these outcome measures, whereas the genre labels of "action", "strategy", "casual", and "non-casual" were not similarly predictive of outcomes. We therefore recommend that future video-game interventions targeting cognitive enhancements should consider gameplay feature classification approach over existing genre classification, which may provide more fruitful training-related benefits to cognition

Brain hubs defined in the group do not overlap with regions of high inter-individual variability

Connector \u27hubs\u27 are brain regions with links to multiple networks. These regions are hypothesized to play a critical role in brain function. While hubs are often identified based on group-average functional magnetic resonance imaging (fMRI) data, there is considerable inter-subject variation in the functional connectivity profiles of the brain, especially in association regions where hubs tend to be located. Here we investigated how group hubs are related to locations of inter-individual variability. To answer this question, we examined inter-individual variation at group-level hubs in both the Midnight Scan Club and Human Connectome Project datasets. The top group hubs defined based on the participation coefficient did not overlap strongly with the most prominent regions of inter-individual variation (termed \u27variants\u27 in prior work). These hubs have relatively strong similarity across participants and consistent cross-network profiles, similar to what was seen for many other areas of cortex. Consistency across participants was further improved when these hubs were allowed to shift slightly in local position. Thus, our results demonstrate that the top group hubs defined with the participation coefficient are generally consistent across people, suggesting they may represent conserved cross-network bridges. More caution is warranted with alternative hub measures, such as community density (which are based on spatial proximity to network borders) and intermediate hub regions which show higher correspondence to locations of individual variability

Quasars: What turns them off?

(Abridged) We explore the idea that the anti-hierarchical turn-off observed in the quasar population arises from self-regulating feedback, via an outflow mechanism. Using a detailed hydrodynamic simulation we calculate the luminosity function of quasars down to a redshift of z=1 in a large, cosmologically representative volume. Outflows are included explicitly by tracking halo mergers and driving shocks into the surrounding intergalactic medium. Our results are in excellent agreement with measurements of the spatial distribution of quasars, and we detect an intriguing excess of galaxy-quasar pairs at very short separations. We also reproduce the anti-hierarchical turnoff in the quasar luminosity function, however, the magnitude of the turn-off falls short of that observed as well as that predicted by analogous semi-analytic models. The difference can be traced to the treatment of gas heating within galaxies. The simulated galaxy cluster L_X-T relationship is close to that observed for z~1 clusters, but the simulated galaxy groups at z=1 are significantly perturbed by quasar outflows, suggesting that measurements of X-ray emission in high-redshift groups could well be a "smoking gun" for the AGN heating hypothesis.Comment: 16 pages, 11 figures, submitted to ApJ, comments welcome

SLS Block 1-B and Exploration Upper Stage Navigation System Design

The SLS Block 1B vehicle is planned to extend NASA's heavy lift capability beyond the initial SLS Block 1 vehicle. The most noticeable change for this vehicle from SLS Block 1 is the swapping of the upper stage from the Interim Cryogenic Propulsion stage (ICPS), a modified Delta IV upper stage, to the more capable Exploration Upper Stage (EUS). As the vehicle evolves to provide greater lift capability and execute more demanding missions so must the SLS Integrated Navigation System to support those missions. The SLS Block 1 vehicle carries two independent navigation systems. The responsibility of the two systems is delineated between ascent and upper stage flight. The Block 1 navigation system is responsible for the phase of flight between the launch pad and insertion into Low-Earth Orbit (LEO). The upper stage system assumes the mission from LEO to payload separation. For the Block 1B vehicle, the two functions are combined into a single system intended to navigate from ground to payload insertion. Both are responsible for self-disposal once payload delivery is achieved. The evolution of the navigation hardware and algorithms from an inertial-only navigation system for Block 1 ascent flight to a tightly coupled GPS-aided inertial navigation system for Block 1-B is described. The Block 1 GN&C system has been designed to meet a LEO insertion target with a specified accuracy. The Block 1-B vehicle navigation system is designed to support the Block 1 LEO target accuracy as well as trans-lunar or trans-planetary injection accuracy. This is measured in terms of payload impact and stage disposal requirements. Additionally, the Block 1-B vehicle is designed to support human exploration and thus is designed to minimize the probability of Loss of Crew (LOC) through high-quality inertial instruments and Fault Detection, Isolation, and Recovery (FDIR) logic. The preliminary Block 1B integrated navigation system design is presented along with the challenges associated with meeting the design objectives. This paper also addresses the design considerations associated with the use of Block 1 and Commercial Off-the-Shelf (COTS) avionics for Block 1-B/EUS as part of an integrated vehicle suite for orbital operations

A new class of large-amplitude radial-mode hot subdwarf pulsators

Using high-cadence observations from the Zwicky Transient Facility at low Galactic latitudes, we have discovered a new class of pulsating, hot compact stars. We have found four candidates, exhibiting blue colors (g − r ≤ −0.1 mag), pulsation amplitudes of >5%, and pulsation periods of 200–475 s. Fourier transforms of the light curves show only one dominant frequency. Phase-resolved spectroscopy for three objects reveals significant radial velocity, T eff, and log(g) variations over the pulsation cycle, which are consistent with large-amplitude radial oscillations. The mean T eff and log(g) for these stars are consistent with hot subdwarf B (sdB) effective temperatures and surface gravities. We calculate evolutionary tracks using MESA and adiabatic pulsations using GYRE for low-mass, helium-core pre-white dwarfs (pre-WDs) and low-mass helium-burning stars. Comparison of low-order radial oscillation mode periods with the observed pulsation periods show better agreement with the pre-WD models. Therefore, we suggest that these new pulsators and blue large-amplitude pulsators (BLAPs) could be members of the same class of pulsators, composed of young ≈0.25–0.35 M ⊙ helium-core pre-WDs.Published versio

Change in Markers of Bone Metabolism with Chemotherapy for Advanced Prostate Cancer: Interleukin-6 Response Is a Potential Early Indicator of Response to Therapy

Men with androgen-independent prostate cancer (AIPC) frequently have bone metastasis. The effects of chemotherapy on markers of bone metabolism have not been well characterized. We conducted a prospective study of patients with AIPC randomized in the first cycle to receive either docetaxel/estramustine or zoledronic acid, a bisphosphonate, to inhibit osteoclastic activity. Here we report the effects of therapy on markers of bone metabolism in these patients following the first cycle of therapy. Serum levels of several indices of bone remodeling were evaluated using commercial enzyme-linked immunosorbent assays. Changes in markers of bone metabolism were compared in patients receiving initial chemotherapy versus bisphosphonate. There was no significant difference in median change in any of the measured bone markers in patients given zoledronic acid when compared to chemotherapy. When comparing responders to nonresponders, overall interleukin-6 (IL-6) decreased by 35% in prostate-specific antigen responders; whereas, IL-6 levels increased by 76% in nonresponders (p = 0.03). Elevated IL-6 levels and reductions in IL-6 levels early in treatment may reflect ultimate clinical response to docetaxel-based regimens.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/78145/1/jir.2008.0024.pd