Zobrazeno 1 - 10
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pro vyhledávání: '"Kellen, P."'
Autor:
Dykes, Erica, Currie, Thayne, Lawson, Kellen, Lucas, Miles, Kudo, Tomoyuki, Chen, Minghan, Guyon, Olivier, Groff, Tyler D, Lozi, Julien, Chilcote, Jeffrey, Brandt, Timothy D., Vievard, Sebastien, Skaf, Nour, Deo, Vincent, Morsy, Mona El, Bovie, Danielle, Uyama, Taichi, Grady, Carol, Sitko, Michael, Hashimoto, Jun, Martinache, Frantz, Jovanovic, Nemanja, Tamura, Motohide, Kasdin, N. Jeremy
We analyze near-infrared integral field spectropolarimetry of the AB Aurigae protoplanetary disk and protoplanet (AB Aur b), obtained with SCExAO/CHARIS in 22 wavelength channels covering the J, H, and K passbands ($\lambda_{\rm o}$ = 1.1--2.4 $\mu m
Externí odkaz:
http://arxiv.org/abs/2410.11939
Design, scientific goals, and performance of the SCExAO survey for planets around accelerating stars
Autor:
Morsy, Mona El, Currie, Thayne, Kuzuhara, Masayuki, Chilcote, Jeffrey, Guyon, Olivier, Tobin, Taylor L., Brandt, Timothy, An, Qier, Anh, Kyohoon, Bovie, Danielle, Deo, Vincent, Groff, Tyler, Gu, Ziying, Janson, Markus, Jovanovic, Nemanja, Li, Yiting, Lawson, Kellen, Lozi, Julien, Lucas, Miles, Marois, Christian, Murakami, Naoshi, Nielsen, Eric, Norris, Barnaby, Skaf, Nour, Tamura, Motohide, Thompson, William, Uyama, Taichi, Vievard, Sebastien
We describe the motivation, design, and early results for our 42-night, 125 star Subaru/SCExAO direct imaging survey for planets around accelerating stars. Unlike prior large surveys, ours focuses only on stars showing evidence for an astrometric acc
Externí odkaz:
http://arxiv.org/abs/2409.06773
Social bots-automated accounts that generate and spread content on social media-are exploiting vulnerabilities in these platforms to manipulate public perception and disseminate disinformation. This has prompted the development of public bot detectio
Externí odkaz:
http://arxiv.org/abs/2408.06900
Autor:
Kammerer, Jens, Lawson, Kellen, Perrin, Marshall D., Rebollido, Isabel, Stark, Christopher C., Stolker, Tomas, Girard, Julien H., Pueyo, Laurent, Balmer, William O., Worthen, Kadin, Chen, Christine, van der Marel, Roeland P., Lewis, Nikole K., Ward-Duong, Kimberly, Valenti, Jeff A., Clampin, Mark, Mountain, C. Matt
We present the first JWST/NIRCam observations of the directly-imaged gas giant exoplanet $\beta$ Pic b. Observations in six filters using NIRCam's round coronagraphic masks provide a high signal-to-noise detection of $\beta$ Pic b and the archetypal
Externí odkaz:
http://arxiv.org/abs/2405.18422
Autor:
Vincent, Maria, Lawson, Kellen, Currie, Thayne, Williams, Jonathan P., Guyon, Olivier, Lozi, Julien, Deo, Vincent, Vievard, Sébastien
We present a multi-wavelength (1.16$\mu$m-2.37$\mu$m) view of the debris disk around BD+45$^\circ$598, using the Subaru Coronagraphic Extreme Adaptive Optics system paired with the Coronagraphic High Angular Resolution Imaging Spectrograph. With an a
Externí odkaz:
http://arxiv.org/abs/2405.04521
Autor:
Lawson, Kellen, Schlieder, Joshua E., Leisenring, Jarron M., Bogat, Ell, Beichman, Charles A., Bryden, Geoffrey, Gáspár, András, Groff, Tyler D., McElwain, Michael W., Meyer, Michael R., Barclay, Thomas, Calissendorff, Per, De Furio, Matthew, Li, Yiting, Rieke, Marcia J., Ygouf, Marie, Greene, Thomas P., Girard, Julien H., Gennaro, Mario, Kammerer, Jens, Rest, Armin, Roellig, Thomas L., Sunnquist, Ben
Observations of debris disks offer important insights into the formation and evolution of planetary systems. Though M dwarfs make up approximately 80% of nearby stars, very few M-dwarf debris disks have been studied in detail -- making it unclear how
Externí odkaz:
http://arxiv.org/abs/2405.00573
Autor:
Rouzrokh, Pouria, Khosravi, Bardia, Faghani, Shahriar, Mulford, Kellen L., Taunton, Michael J., Erickson, Bradley J., Wyles, Cody C.
Transforming two-dimensional (2D) images into three-dimensional (3D) volumes is a well-known yet challenging problem for the computer vision community. In the medical domain, a few previous studies attempted to convert two or more input radiographs i
Externí odkaz:
http://arxiv.org/abs/2404.13000
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Akademický článek
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Autor:
Ebadi, Nima, Morgan, Kellen, Tan, Adrian, Linares, Billy, Osborn, Sheri, Majors, Emma, Davis, Jeremy, Rios, Anthony
Automatic Speech Recognition (ASR) technology is fundamental in transcribing spoken language into text, with considerable applications in the clinical realm, including streamlining medical transcription and integrating with Electronic Health Record (
Externí odkaz:
http://arxiv.org/abs/2403.17363