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Dr. Amy Mainzer is a Senior Research Scientist and the Principle Investigator for the Near Earth Object Wide-field Infrared Survey Explorer (NEOWISE) mission at the NASA Jet Propulsion Laboratory. She is also the Principal Investigator for the Near Earth Object Camera mission proposal and the Deputy Project Scientist for the Wide-field Infrared Survey Explorer mission. Amy is an infrared astronomer. She studies the universe using wavelengths of light that are longer than those we can see. Infrared astronomy is especially useful for looking at objects that are relatively cool in temperature such as asteroids. When she's not at work, you can find Amy hanging out with friends at the local roller disco. For her, it's a great way to get some exercise, and it's fun to do something completely different from her work at NASA. After earning her B.S. In Physics from Stanford University, Amy accepted a position at the Lockheed Martin Advanced Technology Center. She then returned to academia to earn her M.S. in Astronomy from the California Institute of Technology and PhD in Astronomy from the University of California, Los Angeles. Amy has received many awards and honors for her work, including the Lew Allen Award for Excellence, as well as the NASA Exceptional Achievement and Scientific Achievement Medals. She has also been recognized along with NASA team members for their efforts on the Spitzer, WISE, and NEOWISE missions. In this interview, Amy discusses her life and science.
When Spectral Modeling Meets Convolutional Networks: A Method for Discovering Reionization-era Lensed Quasars in Multi-band Imaging Data by Irham Taufik Andika et al. on Tuesday 29 November Over the last two decades, around three hundred quasars have been discovered at $zgtrsim6$, yet only one was identified as being strong-gravitationally lensed. We explore a new approach, enlarging the permitted spectral parameter space while introducing a new spatial geometry veto criterion, implemented via image-based deep learning. We made the first application of this approach in a systematic search for reionization-era lensed quasars, using data from the Dark Energy Survey, the Visible and Infrared Survey Telescope for Astronomy Hemisphere Survey, and the Wide-field Infrared Survey Explorer. Our search method consists of two main parts: (i) pre-selection of the candidates based on their spectral energy distributions (SEDs) using catalog-level photometry and (ii) relative probabilities calculation of being a lens or some contaminant utilizing a convolutional neural network (CNN) classification. The training datasets are constructed by painting deflected point-source lights over actual galaxy images to generate realistic galaxy-quasar lens models, optimized to find systems with small image separations, i.e., Einstein radii of $theta_mathrm{E} leq 1$ arcsec. Visual inspection is then performed for sources with CNN scores of $P_mathrm{lens} > 0.1$, which led us to obtain 36 newly-selected lens candidates, waiting for spectroscopic confirmation. These findings show that automated SED modeling and deep learning pipelines, supported by modest human input, are a promising route for detecting strong lenses from large catalogs that can overcome the veto limitations of primarily dropout-based SED selection approaches. arXiv: http://arxiv.org/abs/http://arxiv.org/abs/2211.14543v1
When Spectral Modeling Meets Convolutional Networks: A Method for Discovering Reionization-era Lensed Quasars in Multi-band Imaging Data by Irham Taufik Andika et al. on Monday 28 November Over the last two decades, around three hundred quasars have been discovered at $zgtrsim6$, yet only one was identified as being strong-gravitationally lensed. We explore a new approach, enlarging the permitted spectral parameter space while introducing a new spatial geometry veto criterion, implemented via image-based deep learning. We made the first application of this approach in a systematic search for reionization-era lensed quasars, using data from the Dark Energy Survey, the Visible and Infrared Survey Telescope for Astronomy Hemisphere Survey, and the Wide-field Infrared Survey Explorer. Our search method consists of two main parts: (i) pre-selection of the candidates based on their spectral energy distributions (SEDs) using catalog-level photometry and (ii) relative probabilities calculation of being a lens or some contaminant utilizing a convolutional neural network (CNN) classification. The training datasets are constructed by painting deflected point-source lights over actual galaxy images to generate realistic galaxy-quasar lens models, optimized to find systems with small image separations, i.e., Einstein radii of $theta_mathrm{E} leq 1$ arcsec. Visual inspection is then performed for sources with CNN scores of $P_mathrm{lens} > 0.1$, which led us to obtain 36 newly-selected lens candidates, waiting for spectroscopic confirmation. These findings show that automated SED modeling and deep learning pipelines, supported by modest human input, are a promising route for detecting strong lenses from large catalogs that can overcome the veto limitations of primarily dropout-based SED selection approaches. arXiv: http://arxiv.org/abs/http://arxiv.org/abs/2211.14543v1
A Census of the Taurus Star-forming Region and Neighboring Associations with Gaia by K. L. Luhman. on Monday 21 November I have used high-precision photometry and astrometry from the third data release of Gaia (DR3) to perform a survey for members of the Taurus star-forming region and young associations in its vicinity. This work has produced a new catalog of 532 adopted members of Taurus, which has only minor changes relative to the previous catalog from Esplin & Luhman 2019. I have used the Gaia astrometry to divide the Taurus members into 13 groups that have distinct kinematics. Meanwhile, I have identified 1378 candidate members of seven associations near Taurus. All of these associations have histograms of spectral types that peak near M5 (~0.15 Msun), resembling other young populations in the solar neighborhood. For the Taurus groups and neighboring associations, I have estimated ages from their sequences of low-mass stars in Hertzsprung-Russell diagrams. Most of the Taurus groups have median ages of ~1-3 Myr while the associations have ages ranging from 13 to 56 Myr. I have used mid-infrared photometry from the Wide-field Infrared Survey Explorer to search for excess emission from circumstellar disks among the candidate members of the associations. Disks are detected for 51 stars, 20 of which are reported for the first time in this work. Some recent studies have proposed that samples of older stars (>=10 Myr) found in the vicinity of Taurus represent a distributed population that is associated with the Taurus cloud complex. However, I find that most of those stars have kinematics that are inconsistent with any relationship with Taurus. arXiv: http://arxiv.org/abs/http://arxiv.org/abs/2211.09785v1
Welcome to Rio Blanco County News. Here's your update for the week of July 23, 2020. If you happened to be on the planet, oh, 6,700 years ago, you may have caught a glimpse of a comet making its way through the sky. Since NASA definitely wasn’t around back then, scientists have only recently discovered a new-to-us celestial body, dubbed NEOWISE after the mission that spotted it: the Near-Earth Object Wide-field Infrared Survey Explorer. NEOWISE is approximately three miles wide. Check page 1A of this week’s edition for a sky map and a NASA video on spotting the comet. Give it a shot with binoculars, a telescope, or even the naked eye, as this comet won’t be seen again until the year 8,786. Three wildland fires in Rio Blanco County are now mostly contained after an incident management team took over command last week, setting up a large camp at the RBC Fairgrounds. The fires burned a total 3,712 acres. Stage 1 fire restrictions remain in effect in Rio Blanco County and on Bureau of Land Management and White River National Forest land. More in our update on Page 1A. Nichols Store in Rangely is celebrating their 116th birthday this year. Fred Nichols, who worked for the Meeker Herald in the early 1900s, managed and then purchased the general store in 1963. In 1974, Bill Hume, a long-time employee, and his brother John purchased the store. Bill continues to operate it today. Check out photos on page 1A. The Meeker Classic Sheepdog Championship Trials has been canceled this year due to coronavirus concerns. Make plans for the 2021 event, which is set for September 8-12. More on Page 1A. Commissioners and some residents came out against a statewide mask mandate at Tuesday’s meeting in Rangely. RBC Public Health Director Alice Harvey expressed support for the commissioners politically, but stated Public Health will still be encouraging mask usage because scientific data indicates it can help slow the spread of the virus. Why? Well, a covering over your face and nose makes it harder for your spit to make its way into someone else’s mouth or nose, spit which may contain respiratory viruses like COVID-19, whether you have symptoms or not. (Check out this video: https://www.pbs.org/video/how-well-do-masks-work-ke2qje/) So, that’s the scoop science-wise, but is a mask mandate really an unconstitutional infringement on your personal freedoms? According to most constitutional law scholars, the answer is “no”, but a final decision in this case will have to come from the courts. Kaye Sullivan introduces us to the Sounds of Meeker in a new series. This week’s focus: wildfire. Read it on page 6A. Enjoying the great outdoors has not been cancelled. Showcase your business in the 20th annual Northwest Colorado Hunting Guide magazine and help hunters enjoy a safe and responsible season. Email ads@ht1885.com or call 970-220-2228 to reserve your space. From the Meeker Herald archives, 125 years ago: Overcharged boilers burst or blow out a cylinder-head; overcharged politicians avoid danger by talking all the time. More in this week’s edition in print and online at ht1885.com Thank you for supporting community journalism. *** Last Energy For The Day by Loyalty Freak Music is licensed under a CC0 1.0 Universal License. https://freesound.org/people/InspectorJ/sounds/417044/ https://freesound.org/people/Soughtaftersounds/sounds/145459/ https://freesound.org/people/Mattc90/sounds/383940/
Dr. Amy Mainzer is a Senior Research Scientist and the Principle Investigator for the Near Earth Object Wide-field Infrared Survey Explorer (NEOWISE) mission at the NASA Jet Propulsion Laboratory. She is also the Principal Investigator for the Near Earth Object Camera mission proposal and the Deputy Project Scientist for the Wide-field Infrared Survey Explorer mission. After earning her B.S. In Physics from Stanford University, Amy accepted a position at the Lockheed Martin Advanced Technology Center. She then returned to academia to earn her M.S. in Astronomy from the California Institute of Technology and PhD in Astronomy from the University of California, Los Angeles. Amy has received many awards and honors for her work, including the Lew Allen Award for Excellence, as well as the NASA Exceptional Achievement and Scientific Achievement Medals. She has also been recognized along with NASA team members for their efforts on the Spitzer, WISE, and NEOWISE missions. Amy is with us today to tell us all about her journey through life and science.
In this month's Naked Astronomy, we explore the unique system of six planets orbiting the star Kepler 11, and find out what to expect from the James Webb Space Telescope. Plus news of the runaway star spotted by WISE - the Wide-field Infrared Survey Explorer, a STEREO view of the whole Sun and how a galaxy spotted at a redshift of 10 can teach us about star formation in the early universe. Like this podcast? Please help us by supporting the Naked Scientists
In this month's Naked Astronomy, we explore the unique system of six planets orbiting the star Kepler 11, and find out what to expect from the James Webb Space Telescope. Plus news of the runaway star spotted by WISE - the Wide-field Infrared Survey Explorer, a STEREO view of the whole Sun and how a galaxy spotted at a redshift of 10 can teach us about star formation in the early universe. Like this podcast? Please help us by supporting the Naked Scientists
On September 30, 2010, a NASA space telescope called the Wide-field Infrared Survey Explorer, or WISE, completed its sweeping goal: to record observations of the entire sky in infrared light. The WISE science team is now sifting through the telescope’s two million images to spot objects that no astronomer has ever seen before. WISE’s most intriguing finds will include mysterious objects called brown dwarfs, blacker-than-coal asteroids, and the Universe’s brightest galaxies. All told, WISE’s data will yield a new picture of the Universe, from our local region to the remotest reaches, and from the distant past to the present. In this Astro Bulletin, watch the WISE team launch and focus this unique eye on the sky.
In December of 2009, NASA launched its latest infrared telescope, the Wide-field Infrared Survey Explorer. This satellite, also known as WISE, is on a mission to map the entire sky in infrared light.
In December of 2009, NASA launched its latest infrared telescope, the Wide-field Infrared Survey Explorer. This satellite, also known as WISE, is on a mission to map the entire sky in infrared light.
In December of 2009, NASA launched its latest infrared telescope, the Wide-field Infrared Survey Explorer. This satellite, also known as WISE, is on a mission to map the entire sky in infrared light.
In December of 2009, NASA launched its latest infrared telescope, the Wide-field Infrared Survey Explorer. This satellite, also known as WISE, is on a mission to map the entire sky in infrared light.
In December of 2009, NASA launched its latest infrared telescope, the Wide-field Infrared Survey Explorer. This satellite, also known as WISE, is on a mission to map the entire sky in infrared light.