38 research outputs found

    Concert recording 2016-09-30

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    [Track 1]. All over now / Jacob Hertzog -- [Track 2]. In your own sweet way / Dave Brubeck -- [Track 3]. Hands on [Track 4]. Sky [Track 5]. Summer 81 [Track 6]. Star drops [Track 7]. Gently darling [Track 8]. Common ground / Hertzog -- [Track 9]. Equinox / John Coltrane

    Concert recording 2018-02-21

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    [Track 1]. Don\u27t bother [Track 2]. Cozy [Track 3]. Cardinal\u27s flight [Track 4]. Planet of the tardigrades [Track 5]. Gently darling and Free improv [Track 6]. Honest man [Track 7]. Devil and a daydream / Jake Hertzog

    Concert recording 2019-09-26

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    [Track 1]. Fools and sages ; [Track 2]. Forest light ; [Track 3]. Laughing dream ; [Track 4]. Don\u27t bother ; [Track 5]. And we are / Hertzog – [Track 6]. Both sides now – [Track 7]. Gently darling ; [Track 8]. Common ground / Hertzog -- [Track 9]. If I were a bell / Jean Simmons – [Track 10]. Devil and the daydream / Hertzog

    Exoplanet Classification and Yield Estimates for Direct Imaging Missions

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    Future NASA concept missions that are currently under study, like Habitable Exoplanet Imaging Mission (HabEx) & Large Ultra-Violet Optical Infra Red (LUVOIR) Surveyor, would discover a large diversity of exoplanets. We propose here a classification scheme that distinguishes exoplanets into different categories based on their size and incident stellar flux, for the purpose of providing the expected number of exoplanets observed (yield) with direct imaging missions. The boundaries of this classification can be computed using the known chemical behavior of gases and condensates at different pressures and temperatures in a planetary atmosphere. In this study, we initially focus on condensation curves for sphalerite ZnS, H2O, CO2 and CH4. The order in which these species condense in a planetary atmosphere define the boundaries between different classes of planets. Broadly, the planets are divided into rocky (0.5 - 1.0RE), super-Earths (1.0- 1.75RE), sub-Neptunes (1.75-3.5RE), sub-Jovians (3.5 - 6.0RE) and Jovians (6-14.3RE) based on their planet sizes, and 'hot', 'warm' and 'cold' based on the incident stellar flux. We then calculate planet occurrence rates within these boundaries for different kinds of exoplanets, \eta_{planet}, using the community co-ordinated results of NASA's Exoplanet Program Analysis Group's Science Analysis Group-13 (SAG-13). These occurrence rate estimates are in turn used to estimate the expected exoplanet yields for direct imaging missions of different telescope diameter.Comment: Accepted to Astrophysical Journal. 30 pages, 4 tables. Online tool for classification boundaries can be found at: http://www3.geosc.psu.edu/~ruk15/planets

    Exoplanet Diversity in the Era of Space-based Direct Imaging Missions

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    This whitepaper discusses the diversity of exoplanets that could be detected by future observations, so that comparative exoplanetology can be performed in the upcoming era of large space-based flagship missions. The primary focus will be on characterizing Earth-like worlds around Sun-like stars. However, we will also be able to characterize companion planets in the system simultaneously. This will not only provide a contextual picture with regards to our Solar system, but also presents a unique opportunity to observe size dependent planetary atmospheres at different orbital distances. We propose a preliminary scheme based on chemical behavior of gases and condensates in a planet's atmosphere that classifies them with respect to planetary radius and incident stellar flux.Comment: A white paper submitted to the National Academy of Sciences Exoplanet Science Strateg

    The next generation of training for arabidopsis researchers: Bioinformatics and Quantitative Biology

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    It has been more than 50 years since Arabidopsis (Arabidopsis thaliana) was first introduced as a model organism to understand basic processes in plant biology. A well-organized scientific community has used this small reference plant species to make numerous fundamental plant biology discoveries (Provart et al., 2016). Due to an extremely well-annotated genome and advances in high-throughput sequencing, our understanding of this organism and other plant species has become even more intricate and complex. Computational resources, including CyVerse,3 Araport,4 The Arabidopsis Information Resource (TAIR),5 and BAR,6 have further facilitated novel findings with just the click of a mouse. As we move toward understanding biological systems, Arabidopsis researchers will need to use more quantitative and computational approaches to extract novel biological findings from these data. Here, we discuss guidelines, skill sets, and core competencies that should be considered when developing curricula or training undergraduate or graduate students, postdoctoral researchers, and faculty. A selected case study provides more specificity as to the concrete issues plant biologists face and how best to address such challenges
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