MKID digital readout tuning with deep learning

Astronomy and Computing Elsevier 23 (2018) 60-71

Authors:

Rupert Dodkins, Sumedh Mahashabde, Kieran O'Brien, Niranjan Thatte, N Fruitwala, A Walter, S Meeker, P Szypryt, B Mazin

Abstract:

Microwave Kinetic Inductance Detector (MKID) devices offer inherent spectral resolution, simultaneous read out of thousands of pixels, and photon-limited sensitivity at optical wavelengths. Before taking observations the readout power and frequency of each pixel must be individually tuned, and if the equilibrium state of the pixels change, then the readout must be retuned. This process has previously been performed through manual inspection, and typically takes one hour per 500 resonators (20 h for a ten-kilo-pixel array). We present an algorithm based on a deep convolution neural network (CNN) architecture to determine the optimal bias power for each resonator. The bias point classifications from this CNN model, and those from alternative automated methods, are compared to those from human decisions, and the accuracy of each method is assessed. On a test feed-line dataset, the CNN achieves an accuracy of 90% within 1 dB of the designated optimal value, which is equivalent accuracy to a randomly selected human operator, and superior to the highest scoring alternative automated method by 10%. On a full ten-kilopixel array, the CNN performs the characterization in a matter of minutes — paving the way for future mega-pixel MKID arrays.

Diffusion and Mixing in Globular Clusters

ASTROPHYSICAL JOURNAL American Astronomical Society 855:2 (2018) ARTN 87

Authors:

Yohai Meiron, Bence Kocsis

Abstract:

Collisional relaxation describes the stochastic process with which a self-gravitating system near equilibrium evolves in phase space due to the fluctuating gravitational field of the system. The characteristic timescale of this process is called the relaxation time. In this paper, we highlight the difference between two measures of the relaxation time in globular clusters: (i) the diffusion time with which the isolating integrals of motion (i.e. energy E and angular momentum magnitude L) of individual stars change stochastically and (ii) the asymptotic timescale required for a family of orbits to mix in the cluster. More specifically, the former corresponds to the instantaneous rate of change of a star's E or L, while the latter corresponds to the timescale for the stars to statistically forget their initial conditions. We show that the diffusion timescales of E and L vary systematically around the commonly used half-mass relaxation time in different regions of the cluster by a factor of ~10 and ~100, respectively, for more than 20% of the stars. We define the mixedness of an orbital family at any given time as the correlation coefficient between its E or L probability distribution functions and those of the whole cluster. Using Monte Carlo simulations, we find that mixedness converges asymptotically exponentially with a decay timescale that is ~10 times the half-mass relaxation time.

From light to baryonic mass: the effect of the stellar mass-to-light ratio on the Baryonic Tully–Fisher relation

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 474:4 (2018) 4366-4384

Authors:

Anastasia A Ponomareva, Marc AW Verheijen, Emmanouil Papastergis, Albert Bosma, Reynier F Peletier

Bondi or not Bondi: the impact of resolution on accretion and drag force modelling for Supermassive Black Holes

(2018)

Authors:

Ricarda Sylvia Beckmann, Julien Devriendt, Adrianne Slyz

SDSS-IV MaNGA: Stellar angular momentum of about 2300 galaxies: unveiling the bimodality of massive galaxy properties

Monthly Notices of the Royal Astronomical Society Oxford University Press 477:4 (2018) 4711-4737

Authors:

Mark T Graham, Michele Cappellari, H Li, S Mao, M Bershady, D Bizyaev, J Brinkmann, K Bundy, N Drory, K Pan, D Thomas, DA Wake, A-M Weijmans, KB Westfall, R Yan

Abstract:

We measure λRe, a proxy for galaxy specific stellar angular momentum within one effective radius, and the ellipticity, ∈, for about 2300 galaxies of all morphological types observed with integral field spectroscopy as part of the MaNGA survey, the largest such sample to date. We use the (λRe; ∈) diagram to separate early-type galaxies into fast and slow rotators. We also visually classify each galaxy according to its optical morphology and two-dimensional stellar velocity field. Comparing these classifications to quantitative λRe measurements reveals tight relationships between angular momentum and galaxy structure. In order to account for atmospheric seeing, we use realistic models of galaxy kinematics to derive a general approximate analytic correction for λRe . Thanks to the size of the sample and the large number of massive galaxies, we unambiguously detect a clear bimodality in the (λRe; ∈) diagram which may result from fundamental differences in galaxy assembly history. There is a sharp secondary density peak inside the region of the diagram with low λRe and ∈ < 0:4, previously suggested as the definition for slow rotators. Most of these galaxies are visually classified as non-regular rotators and have high velocity dispersion. The intrinsic bimodality must be stronger, as it tends to be smoothed by noise and inclination. The large sample of slow rotators allows us for the first time to unveil a secondary peak at ±90° in their distribution of the misalignments between the photometric and kinematic position angles. We confirm that genuine slow rotators start appearing above a stellar mass of 2 x 10^11 M⊙ where a significant number of high-mass fast rotators also exist.