We present observations of outflows in the star-forming region NGC 1333 using the Combined Array for Research in Millimeter-Wave Astronomy (CARMA). We combined the CO and CO (10) CARMA mosaics with data from the 14-m Five College Radio Astronomy Observatory (FCRAO) to probe the central, most dense and active region of this protostellar cluster at scales from 5′′ to 7′ (or 1000 AU to 0.5 pc at a...

Using 1 cm and 3mm observations from the Combined Array for Research inMillimeter-wave Astronomy and 2mm observations from the Goddard IRAM Superconducting 2 Millimeter Observer observations, we follow up the first extragalactic detection of anomalous microwave emission (AME) reported by Murphy et al. in an extranuclear region (Enuc. 4) of the nearby face-on spiral galaxy NGC 6946. We find the ...

A computer program has been developed to aid the analysis of molecular dynamics trajectories. The program is tuned for macromolecular large-scale problems and supports features such as removal of global translations-rotations of the solute, calculation of average distance maps and their corresponding standard deviations, calculation of the variance-covariance and cross-correlation matrices, and...

A spectral representation for regularly varying Lévy processes with index between one and two is established and the properties of the resulting random noise are discussed in detail giving also new insight in the L2-case where the noise is a random orthogonal measure. This allows a spectral definition of multivariate regularly varying Lévy-driven continuous time autoregressive moving average (C...

This paper treats direct identification of continuous-time autoregressive moving average (CARMA) noise models. The approach has its point of origin in the frequency domain Whittle likelihood estimator. The discreteor continuoustime spectral densities are estimated from equidistant samples of the output. For low sampling rates the discrete-time spectral density is modeled directly by its continu...

We consider strictly stationary infinitely divisible processes and first extend the mixing conditions given in Maruyama [18] and Rosiński and Żak [23] from the univariate to the d-dimensional case. Thereafter, we show that multivariate Lévy-driven mixed moving average processes satisfy these conditions and hence a wide range of well-known processes such as superpositions of Ornstein-Uhlenbeck (...

This paper describes a technique for integrating case-based reasoning with model-based reasoning to predict the behavior of biological systems characterized both by incomplete models and insu cient empirical data for accurate induction. This technique is implemented in CARMA, a system for rangeland pest management advising. CARMA's ability to predict the forage consumption judgments of 15 exper...