1–2.4 μm Near-IR Spectrum of the Giant Planet β Pictoris b Obtained with the Gemini Planet Imager

Using the Gemini Planet Imager located at Gemini South, we measured the near-infrared (1.0–2.4 μm) spectrum of the planetary companion to the nearby, young star β Pictoris. We compare the spectrum obtained with currently published model grids and with known substellar objects and present the best matching models as well as the best matching observed objects. Comparing the empirical measurement of the bolometric luminosity to evolutionary models, we find a mass of 12.9 ± 0.2 M_(Jup), an effective temperature of 1724 ± 15 K, a radius of 1.46 ± 0.01 R_(Jup), and a surface gravity of log g = 4.18 ± 0.01 [dex] (cgs). The stated uncertainties are statistical errors only, and do not incorporate any uncertainty on the evolutionary models. Using atmospheric models, we find an effective temperature of 1700–1800 K and a surface gravity of log g = 3.5–4.0 [dex] depending upon the model. These values agree well with other publications and with "hot-start" predictions from planetary evolution models. Further, we find that the spectrum of β Pic b best matches a low surface gravity L2 ± 1 brown dwarf. Finally, comparing the spectrum to field brown dwarfs, we find the the spectrum best matches 2MASS J04062677–381210 and 2MASS J03552337+1133437

Are the apple maggot, Rhagoletis pomonella , and blueberry maggot, R. mendax , distinct species? Implications for sympatric speciation

Rhagoletis pomonella (Walsh) and R. mendax (Curran) (Diptera: Tephritidae) are major economic pests of apple and blueberry fruits, respectively, in eastern North America. The taxonomic status of these flies as distinct species has been in dispute because of their close morphological similarity, broadly overlapping geographic distributions and inter-fertility in laboratory crosses. Starch gel electrophoresis of soluble proteins was performed to establish the extent of genetic differentiation and levels of gene flow between blueberry infesting populations of R. mendax and apple and hawthorn infesting populations of R. pomonella. R. mendax and R. pomonella were found to be genetically distinct sibling species as eleven out of total of twenty-nine allozymes surveyed possessed species specific alleles. Data from three sympatric apple and blueberry fly populations in Michigan indicated that these flies do not hybridize in nature and gave no evidence for nuclear gene introgression. Differences in host plant recognition were implicated as important pre-mating barriers to gene flow between R. pomonella and R. mendax ; a result supporting a sympatric mode of divergence for these flies. R. pomonella Walsh and R. mendax Curran sont respectivement deux mouches très nuisibles aux pommes et aux myrtilles du N E des USA. La position taxonomique de ces mouches comme espèces distinctes a été longtemps mise en doute par suite de leur grande ressemblance morphologique, de l'important chevauchement de leurs répartitions et de leur interfécondité au laboratoire. L'électophorèse sur gel d'amidon de protéines solubles a été utilisé pour établir l'importance de la différenciation génétique et du flux génique entre R. mendax contaminant des myrtilles et R. pomonella contaminant des pommiers et des aubépines. R. mendax et R. pomonella se sont révélées des espèces jumelles car, à l'exception de 11 alolozymes sur 29, chaque espèce possédait des allèles spécifiques. Les données concernant 3 populations sympatriques de mouches des myrtilles et des pommes du Michigan ont montré que des mouches ne s'hybrident pas dans la nature et n'ont fourni aucune indication sur une introgression de gènes nucléaires. Des différences concernant la découverte de hôtes sont impliquées comme obstacles prézygotiques importants au flux génique entre R. pomonella et R. mendax ; ce résultat conforte l'hypothèse d'une divergence sympatrique de ces mouches.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/42712/1/10667_2004_Article_BF00186728.pd

Post-processing CHARIS integral field spectrograph data with PyKLIP

We present the pyKLIP-CHARIS post-processing pipeline, a Python library that reduces high contrast imaging data for the CHARIS integral field spectrograph used with the SCExAO project on the Subaru Telescope. The pipeline is a part of the pyKLIP package, a Python library dedicated to the reduction of direct imaging data of exoplanets, brown dwarfs, and discs. For PSF subtraction, the pyKLIP-CHARIS post-processing pipeline relies on the core algorithms implemented in pyKLIP but uses image registration and calibrations that are unique to CHARIS. We describe the pipeline procedures, calibration results, and capabilities in processing imaging data acquired via the angular differential imaging and spectral differential imaging observing techniques. We showcase its performance on extracting spectra of injected synthetic point sources as well as compare the extracted spectra from real data sets on HD 33632 and HR 8799 to results in the literature. The pipeline is a python-based complement to the SCExAO project supported, widely used (and currently IDL-based) CHARIS data post-processing pipeline (CHARIS DPP) and provides an additional approach to reducing CHARIS data and extracting calibrated planet spectra.Comment: 17 pages, 13 figure

Data Reduction Pipeline for the CHARIS Integral-Field Spectrograph I: Detector Readout Calibration and Data Cube Extraction

We present the data reduction pipeline for CHARIS, a high-contrast integral-field spectrograph for the Subaru Telescope. The pipeline constructs a ramp from the raw reads using the measured nonlinear pixel response, and reconstructs the data cube using one of three extraction algorithms: aperture photometry, optimal extraction, or $\chi^2$ fitting. We measure and apply both a detector flatfield and a lenslet flatfield and reconstruct the wavelength- and position-dependent lenslet point-spread function (PSF) from images taken with a tunable laser. We use these measured PSFs to implement a $\chi^2$-based extraction of the data cube, with typical residuals of ~5% due to imperfect models of the undersampled lenslet PSFs. The full two-dimensional residual of the $\chi^2$ extraction allows us to model and remove correlated read noise, dramatically improving CHARIS' performance. The $\chi^2$ extraction produces a data cube that has been deconvolved with the line-spread function, and never performs any interpolations of either the data or the individual lenslet spectra. The extracted data cube also includes uncertainties for each spatial and spectral measurement. CHARIS' software is parallelized, written in Python and Cython, and freely available on github with a separate documentation page. Astrometric and spectrophotometric calibrations of the data cubes and PSF subtraction will be treated in a forthcoming paper.Comment: 18 pages, 15 figures, 3 tables, replaced with JATIS accepted version (emulateapj formatted here). Software at https://github.com/PrincetonUniversity/charis-dep and documentation at http://princetonuniversity.github.io/charis-de