1,200 research outputs found

    , Ross Laird

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    Ross Laird, PhD RCC is a clinical consultant focused on trauma, addictions, and social vulnerability. He is also a best-selling author, award-winning scholar and educator, and clinical supervisor for BC’s largest licensed non-profit program in addictions, trauma, and mental health. Dr. Laird focuses particularly on traumatized and marginalized client populations — those navigating homelessness, mental illness, and complex trauma — and provides professional development training for organizations that serve them: social service agencies, first responders, cultural groups, nonprofits, and educational institutions. He also works extensively with organizations in arts and culture and Indigenous communities to develop trauma-informed practices for cultural programming, museum exhibitions, and community initiatives

    Adaptive optics with an infrared Pyramid wavefront sensor

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    Wavefront sensing in the infrared is highly desirable for the study of M-type stars and cool red objects, as they are sufficiently bright in the infrared to be used as the adaptive optics guide star. This aids in high contrast imaging, particularly for low mass stars where the star-to-planet brightness ratio is reduced. Here we discuss the combination of infrared detector technology with the highly sensitive Pyramid wavefront sensor (WFS) for a new generation of systems. Such sensors can extend the capabilities of current telescopes and meet the requirements for future instruments, such as those proposed for the giant segmented mirror telescopes. Here we introduce the infrared Pyramid WFS and discuss the advantages and challenges of this sensor. We present a new infrared Pyramid WFS for Keck, a key sub-system of the Keck Planet Imager and Characterizer (KPIC). The design, integration and testing is reported on, with a focus on the characterization of the SAPHIRA detector used to provide the H-band wavefront sensing. Initial results demonstrate a required effective read noise <1e^– at high gain

    Tumbled smooth by the rapids: Rediscovering and reconnecting in the wake of turbulence

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    Ross Laird, PhD RCC is a clinical consultant focused on trauma, addictions, and social vulnerability. He is also a best-selling author, award-winning scholar and educator, and clinical supervisor for BC’s largest licensed non-profit program in addictions, trauma, and mental health. Dr. Laird focuses particularly on traumatized and marginalized client populations — those navigating homelessness, mental illness, and complex trauma — and provides professional development training for organizations that serve them: social service agencies, first responders, cultural groups, nonprofits, and educational institutions. He also works extensively with organizations in arts and culture and Indigenous communities to develop trauma-informed practices for cultural programming, museum exhibitions, and community initiatives.presentationBetter Together Conferenc

    Near-infrared wavefront sensing

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    We discuss the advantages of wavefront sensing at near-infrared (IR) wavelengths with low-noise detector technologies that have recently become available. In this paper, we consider low order sensing with laser guide star (LGS) adaptive optics (AO) and high order sensing with natural guide star (NGS) AO. We then turn to the application of near-IR sensing with the W. M. Keck Observatory (WMKO) AO systems for science and as a demonstrator for similar systems on extremely large telescopes (ELTs). These demonstrations are based upon an LGS AO near-IR tip-tilt-focus sensor and our collaboration to implement a near-IR pyramid wavefront sensor (PWFS) for a NGS AO L-band coronagraphic imaging survey to identify exoplanet candidates

    Approximate nonnegative matrix factorization algorithm for the analysis of angular differential imaging data

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    The angular differential imaging (ADI) is used to improve contrast in high resolution astronomical imaging. An example is the direct imaging of exoplanet in camera fed by Extreme Adaptive Optics. The subtraction of the main dazzling object to observe the faint companion was improved using Principal Component Analysis (PCA). It factorizes the positive astronomical frames into positive and negative components. On the contrary, the Nonnegative Matrix Factorization (NMF) uses only positive components, mimicking the actual composition of the long exposure images

    Ross Laird (Website)

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    Ross's personal website

    Spatial filtering applied to the pyramid WFS: Simulations and preliminary results

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    In this paper we discuss the potentiality of the spatial filtering approach for the case of a pupil plane wavefront sensor like the pyramid sensor. Filtering is realized by selectively blocking the light just before the pyramid prism. Several schemes can be followed to accomplish this: from a simple field stop that blocks high-order spatial frequencies in order to reduce the aliasing effect (an example is the so-called spatial filtered Shack- Hartmann) to more complicated frequency-selection schemes. In this work we present the simulation environment that we developed to investigate different approaches in this sense aimed at understanding if any practical advantages in wavefront sensing can be effectively attained in particular regimes. We present some preliminary results obtained with end-to-end simulations. In particular, we qualitavely explored the simplest frequency-selection scheme consisting of a field stop just in front of the pyramid. We show that this can help mitigating the effect of contaminating high-order frequencies. Next steps will be in the direction of exploring different reference star brightness regimes in order to determine under which conditions spatial filtering can improve the quality of closed-loop correction. Moreover, different spatial filter sizes and shapes to control the frequencies conveyed to the wave-front sensor will be investigated

    Freud e Johnson-Laird: Modelos Mentais no «Caso Dora»

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    Afreudite : Revista Lusófona de Psicanálise Pura e AplicadaTrabalho sobre a relação entre a teoria dos modelos mentais de Johnson-Laird e o conceito de transferência em Freud.The author underline the relationship between Johnson-Laird's mental patterns theory and the concept of transfer in Freud

    Forecasts of the atmospherical parameters close to the ground at the LBT site in the context of the ALTA project

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    In this paper we study the abilities of an atmospherical mesoscale model in forecasting the classical atmospherical parameters relevant for astronomical applications at the surface layer (wind speed, wind direction, temperature, relative humidity) on the Large Binocular Telescope (LBT) site - Mount Graham, Arizona. The study is carried out in the framework of the ALTA project aiming at implementing an automated system for the forecasts of atmospherical parameters (Meso-Nh code) and the optical turbulence (Astro-Meso-Nh code) for the service-mode operation of the LBT. The final goal of such an operational tool is to provide predictions with high time frequency of atmospheric and optical parameters for an optimized planning of the telescope operation (dome thermalization, wind-dependent dome orientation, observation planning based on predicted seeing, adaptive optics optimization, etc...). Numerical simulations are carried out with the Meso-Nh and Astro-Meso-Nh codes, which were proven to give excellent results in previous studies focused on the two ESO sites of Cerro Paranal and Cerro Armazones (MOSE Project). In this paper we will focus our attention on the comparison of atmospherical parameters forescasted by the model close to the ground with measurements taken by the observatory instrumentations and stored in the LBT telemetry in order to validate the numerical predictions. As previously done for Cerro Paranal (Lascaux et al., 2015), we will also present an analysis of the model performances based on the method of the contingency tables, that allows us to provide complementary key information with the respect to the bias and RMSE (systematic and statistical errors), such as the percentage of correct detection and the probability to obtain a correct detection inside a defined interval of values
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