Spectropolarimetric observations of Herbig Ae/Be Stars I: HiVIS spectropolarimetric calibration and reduction techniques

Using the HiVIS spectropolarimeter built for the Haleakala 3.7m AEOS telescope in Hawaii, we are collecting a large number of high precision spectropolarimetrc observations of stars. In order to precisely measure very small polarization changes, we have performed a number of polarization calibration techniques on the AEOS telescope and HiVIS spectrograph. We have extended our dedicated IDL reduction package and have performed some hardware upgrades to the instrument. We have also used the ESPaDOnS spectropolarimeter on CFHT to verify the HiVIS results with back-to-back observations of MWC 361 and HD163296. Comparision of this and other HiVIS data with stellar observations from the ISIS and WW spectropolarimeters in the literature further shows the usefulness of this instrument.Comment: 35 pages, 44 figures, Accepted by PAS

A Modified Cross Correlation Double Talk Detector using Variable Threshold for Acoustic Echo Cancellation

The presence of echo in the communication systems reduces the speech quality and can be overcome by using Acoustic Echo Cancellers (AEC). Acoustic Echo Canceller is a special device which estimates the echo and subtracts it from the microphone signal. Adaptive filters are used for this purpose. Adaptive filters diverge when in addition to far end signal, near end signal is also present. This situation is known as double talk which is handled by double talk detectors (DTD). Cross correlation based DTD is an attractive approach in which cross correlation between two signals give decision parameter. This parameter is compared to constant threshold to give decision. The constant threshold based double talk detector increases the probability of missed detection and increases the residual error of echo canceller. Thus degrades the performance of Acoustic echo canceller. In this paper, a new variable threshold based double talk detector is proposed in which a threshold value is evaluated with respect to the power of near end signal and far end signal. The proposed method shows the reduced probability of missed detections and mean square error, hence improving AEC performance. For updating of the filter coefficients, Variable Step Size Least Mean Square algorithm is used

Theory of Dispersed Fixed-Delay Interferometry for Radial Velocity Exoplanet Searches

The dispersed fixed-delay interferometer (DFDI) represents a new instrument concept for high-precision radial velocity (RV) surveys for extrasolar planets. A combination of Michelson interferometer and medium-resolution spectrograph, it has the potential for performing multi-object surveys, where most previous RV techniques have been limited to observing only one target at a time. Because of the large sample of extrasolar planets needed to better understand planetary formation, evolution, and prevalence, this new technique represents a logical next step in instrumentation for RV extrasolar planet searches, and has been proven with the single-object Exoplanet Tracker (ET) at Kitt Peak National Observatory, and the multi-object W. M. Keck/MARVELS Exoplanet Tracker at Apache Point Observatory. The development of the ET instruments has necessitated fleshing out a detailed understanding of the physical principles of the DFDI technique. Here we summarize the fundamental theoretical material needed to understand the technique and provide an overview of the physics underlying the instrument's working. We also derive some useful analytical formulae that can be used to estimate the level of various sources of error generic to the technique, such as photon shot noise when using a fiducial reference spectrum, contamination by secondary spectra (e.g., crowded sources, spectroscopic binaries, or moonlight contamination), residual interferometer comb, and reference cross-talk error. Following this, we show that the use of a traditional gas absorption fiducial reference with a DFDI can incur significant systematic errors that must be taken into account at the precision levels required to detect extrasolar planets.Comment: 58 pages, 11 figures, 1 table, 3 appendices. Accepted for publication in ApJS. Minor typographical corrections; update to acknowledgment

On the Application of a Monolithic Array for Detecting Intensity-Correlated Photons Emitted by Different Source Types

It is not widely appreciated that many subtleties are involved in the accurate measurement of intensity-correlated photons; even for the original experiments of Hanbury Brown and Twiss (HBT). Using a monolithic 4x4 array of single-photon avalanche diodes (SPADs), together with an off-chip algorithm for processing streaming data, we investigate the difficulties of measuring second-order photon correlations g2 in a wide variety of light fields that exhibit dramatically different correlation statistics: a multimode He-Ne laser, an incoherent intensity-modulated lamp-light source and a thermal light source. Our off-chip algorithm treats multiple photon-arrivals at pixel-array pairs, in any observation interval, with photon fluxes limited by detector saturation, in such a way that a correctly normalized g2 function is guaranteed. The impact of detector background correlations between SPAD pixels and afterpulsing effects on second-order coherence measurements is discussed. These results demonstrate that our monolithic SPAD array enables access to effects that are otherwise impossible to measure with stand-alone detectors.Comment: 17 pages, 6 figure

An investigation of the utility of monaural sound source separation via nonnegative matrix factorization applied to acoustic echo and reverberation mitigation for hands-free telephony

In this thesis we investigate the applicability and utility of Monaural Sound Source Separation (MSSS) via Nonnegative Matrix Factorization (NMF) for various problems related to audio for hands-free telephony. We first investigate MSSS via NMF as an alternative acoustic echo reduction approach to existing approaches such as Acoustic Echo Cancellation (AEC). To this end, we present the single-channel acoustic echo problem as an MSSS problem, in which the objective is to extract the users signal from a mixture also containing acoustic echo and noise. To perform separation, NMF is used to decompose the near-end microphone signal onto the union of two nonnegative bases in the magnitude Short Time Fourier Transform domain. One of these bases is for the spectral energy of the acoustic echo signal, and is formed from the in- coming far-end user’s speech, while the other basis is for the spectral energy of the near-end speaker, and is trained with speech data a priori. In comparison to AEC, the speaker extraction approach obviates Double-Talk Detection (DTD), and is demonstrated to attain its maximal echo mitigation performance immediately upon initiation and to maintain that performance during and after room changes for similar computational requirements. Speaker extraction is also shown to introduce distortion of the near-end speech signal during double-talk, which is quantified by means of a speech distortion measure and compared to that of AEC. Subsequently, we address Double-Talk Detection (DTD) for block-based AEC algorithms. We propose a novel block-based DTD algorithm that uses the available signals and the estimate of the echo signal that is produced by NMF-based speaker extraction to compute a suitably normalized correlation-based decision variable, which is compared to a fixed threshold to decide on doubletalk. Using a standard evaluation technique, the proposed algorithm is shown to have comparable detection performance to an existing conventional block-based DTD algorithm. It is also demonstrated to inherit the room change insensitivity of speaker extraction, with the proposed DTD algorithm generating minimal false doubletalk indications upon initiation and in response to room changes in comparison to the existing conventional DTD. We also show that this property allows its paired AEC to converge at a rate close to the optimum. Another focus of this thesis is the problem of inverting a single measurement of a non- minimum phase Room Impulse Response (RIR). We describe the process by which percep- tually detrimental all-pass phase distortion arises in reverberant speech filtered by the inverse of the minimum phase component of the RIR; in short, such distortion arises from inverting the magnitude response of the high-Q maximum phase zeros of the RIR. We then propose two novel partial inversion schemes that precisely mitigate this distortion. One of these schemes employs NMF-based MSSS to separate the all-pass phase distortion from the target speech in the magnitude STFT domain, while the other approach modifies the inverse minimum phase filter such that the magnitude response of the maximum phase zeros of the RIR is not fully compensated. Subjective listening tests reveal that the proposed schemes generally produce better quality output speech than a comparable inversion technique

An investigation of the utility of monaural sound source separation via nonnegative matrix factorization applied to acoustic echo and reverberation mitigation for hands-free telephony

In this thesis we investigate the applicability and utility of Monaural Sound Source Separation (MSSS) via Nonnegative Matrix Factorization (NMF) for various problems related to audio for hands-free telephony. We first investigate MSSS via NMF as an alternative acoustic echo reduction approach to existing approaches such as Acoustic Echo Cancellation (AEC). To this end, we present the single-channel acoustic echo problem as an MSSS problem, in which the objective is to extract the users signal from a mixture also containing acoustic echo and noise. To perform separation, NMF is used to decompose the near-end microphone signal onto the union of two nonnegative bases in the magnitude Short Time Fourier Transform domain. One of these bases is for the spectral energy of the acoustic echo signal, and is formed from the in- coming far-end user’s speech, while the other basis is for the spectral energy of the near-end speaker, and is trained with speech data a priori. In comparison to AEC, the speaker extraction approach obviates Double-Talk Detection (DTD), and is demonstrated to attain its maximal echo mitigation performance immediately upon initiation and to maintain that performance during and after room changes for similar computational requirements. Speaker extraction is also shown to introduce distortion of the near-end speech signal during double-talk, which is quantified by means of a speech distortion measure and compared to that of AEC. Subsequently, we address Double-Talk Detection (DTD) for block-based AEC algorithms. We propose a novel block-based DTD algorithm that uses the available signals and the estimate of the echo signal that is produced by NMF-based speaker extraction to compute a suitably normalized correlation-based decision variable, which is compared to a fixed threshold to decide on doubletalk. Using a standard evaluation technique, the proposed algorithm is shown to have comparable detection performance to an existing conventional block-based DTD algorithm. It is also demonstrated to inherit the room change insensitivity of speaker extraction, with the proposed DTD algorithm generating minimal false doubletalk indications upon initiation and in response to room changes in comparison to the existing conventional DTD. We also show that this property allows its paired AEC to converge at a rate close to the optimum. Another focus of this thesis is the problem of inverting a single measurement of a non- minimum phase Room Impulse Response (RIR). We describe the process by which percep- tually detrimental all-pass phase distortion arises in reverberant speech filtered by the inverse of the minimum phase component of the RIR; in short, such distortion arises from inverting the magnitude response of the high-Q maximum phase zeros of the RIR. We then propose two novel partial inversion schemes that precisely mitigate this distortion. One of these schemes employs NMF-based MSSS to separate the all-pass phase distortion from the target speech in the magnitude STFT domain, while the other approach modifies the inverse minimum phase filter such that the magnitude response of the maximum phase zeros of the RIR is not fully compensated. Subjective listening tests reveal that the proposed schemes generally produce better quality output speech than a comparable inversion technique

Performance of the LHCb muon system

The performance of the LHCb Muon system and its stability across the full 2010 data taking with LHC running at ps = 7 TeV energy is studied. The optimization of the detector setting and the time calibration performed with the first collisions delivered by LHC is described. Particle rates, measured for the wide range of luminosities and beam operation conditions experienced during the run, are compared with the values expected from simulation. The space and time alignment of the detectors, chamber efficiency, time resolution and cluster size are evaluated. The detector performance is found to be as expected from specifications or better. Notably the overall efficiency is well above the design requirementsComment: JINST_015P_1112 201

Electron multiplying CCD – based detection in Fluorescence Correlation Spectroscopy and measurements in living zebrafish embryos

Fluorescence correlation spectroscopy (FCS) is an ultra-sensitive optical technique to investigate the dynamic properties of ensembles of single fluorescent molecules in solution. It is in particular suited for measurements in biological samples. High sensitivity is obtained by employing confocal microscopy setups with diffraction limited small detection volumes, and by using single-photon sensitive detectors, for example avalanche photo diodes (APD). However, fluorescence signal is hence typically collected from a single focus position in the sample only, and several measurements at different positions have to be performed successively. To overcome the time-consuming successive FCS measurements, we introduce electron multiplying CCD (EMCCD) camera-based spatially resolved detection for FCS. With this new detection method, multiplexed FCS measurements become feasible. Towards this goal, we perform FCS measurements with two focal volumes. As an application, we demonstrate spatial cross-correlation measurements between the two detection volumes, which allow to measure calibration-free diffusion coefficients and direction-sensitive processes like molecular flow in microfluidic channels. FCS is furthermore applied to living zebrafish embryos, to investigate the concentration gradient of the morphogen fibroblast growth factor 8 (Fgf8). It is shown by one-focus APD-based and two-focus EMCCD-based FCS, that Fgf8 propagates largely by random diffusion through the extracellular space in developing tissue. The stable concentration gradient is shown to arise from the equilibrium between a local morphogen production and the sink function of the receiving cells by receptor-mediated removal from the extracellular space. The study shows the applicability of FCS to whole model organisms. Especially in such dynamically changing systems in vivo, the perspective of fast parallel FCS measurements is of great importance. In this work, we exemplify parallel, spatially resolved FCS by utilizing an EMCCD camera. The approach, however, can be easily adapted to any other class of two-dimensional array detector. Novel generations of array detectors might become available in the near future, so that multiplexed spatial FCS could then emerge as a standard extension to classical one-focus FCS.Fluoreszenz-Korrelations-Spektroskopie (FCS) ist eine hochempfindliche optische Methode, um die dynamischen Eigenschaften eines Ensembles von einzelnen, fluoreszierenden Molekülen in Lösung zu erforschen. Sie ist insbesondere geeignet für Messungen in biologischen Proben. Die hohe Empfindlichkeit wird erreicht durch Verwendung konfokaler Mikroskop-Aufbauten mit beugungsbegrenztem Detektionsvolumen, und durch Messung der Fluoreszenz mit Einzelphotonen-empfindlichen Detektoren, zum Beispiel Avalanche-Photodioden (APD). Dadurch wird das Fluoreszenzsignal allerdings nur von einer einzelnen Fokusposition in der Probe eingesammelt, und mehrfache Messungen an verschiedenen Positionen in der Probe müssen nacheinander durchgeführt werden. Um die zeitaufwendigen, aufeinanderfolgenden FCS-Einzelmessungen zu überwinden, entwickeln wir in dieser Arbeit Elektronenvervielfachungs-CCD (EMCCD) Kamera-basierte räumlich aufgelöste Detektion für FCS. Mit dieser neuartigen Detektionsmethode werden Multiplex-FCS Messungen möglich. Darauf abzielend führen wir FCS Messungen mit zwei Detektionsvolumina durch. Als Anwendung nutzen wir die räumliche Kreuzkorrelation zwischen dem Signal beider Fokalvolumina. Sie ermöglicht die kalibrationsfreie Bestimmung von Diffusionskoeffizienten und die Messung von gerichteter Bewegung, wie zum Beispiel laminarem Fluss in mikrostrukturierten Kanälen. FCS wird darüber hinaus angewendet auf Messungen in lebenden Zebrafischembryonen, um den Konzentrationsgradienten des Morphogens Fibroblasten-Wachstumsfaktor 8 (Fgf8) zu untersuchen. Mit Hilfe von APD-basierter ein-Fokus FCS und EMCCD-basierter zwei-Fokus FCS zeigen wir, dass Fgf8 hauptsächlich frei diffffundiert im extrazellulären Raum des sich entwickelnden Embryos. Der stabile Konzentrationsgradient entsteht durch ein Gleichgewicht von lokaler Morphogenproduktion und globalem Morphogenabbau durch Rezeptor vermittelte Entfernung aus dem extrazellulären Raum. Die Studie zeigt die Anwendbarkeit von FCS in ganzen Modell-Organismen. Gerade in diesen sich dynamisch ändernden Systemen in vivo ist die Perspektive schneller, paralleler FCS-Messungen von großer Bedeutung. In dieser Arbeit wird räumlich aufgelöste FCS am Beispiel einer EMCCD Kamera durchgeführt. Die Herangehensweise ist jedoch einfach übertragbar auf jede andere Art von zwei-dimensionalem Flächendetektor. Neuartige Flächendetektoren könnten in naher Zukunft verfügbar sein. Dann könnte räumlich aufgelöste Multiplex-FCS eine standardisierte Erweiterung zur klassischen ein-Fokus FCS werden