Enabling Science Program 2021 Award Recipients

Award - $5,000

“We will develop a machine learning framework to identify the faint, slow-moving objects in the presence of systematics from artificial satellites and reconstruct their trajectories in order to reveal their dynamics and bulk characteristics. Our machine learning pipeline will enable the characterization of the underlying occurrence of long-period SS bodies using LSST.”

 

Award - $5,000

“A Solar System LSST survey simulator is one of the Solar System Science Collaboration’s highest software priorities in preparation for Year One of LSST Operations. With support from the LSSTC Enabling Science Committee, University of Canterbury (New Zealand) student Rosemary Dorsey will construct a Python-based Bayesian inference engine as a general-purpose post-processing module for the prospective SSSC LSST survey simulator — available for use by all SSSC members prior to first light..”

 

Award - $4,000

“Support a student project in understanding the ability of photometric redshift codes in handling consistent colors. The colors are largely independent of the observing conditions, but have a definition of galaxy color that is different from what is more commonly used.”

 

Award - $5,000

"Through this proposal, we will promote the development of astronomy in Colombia and South America and strengthen links between Rubin/LSST and the South American astronomical community in preparation for Rubin operations and LSST science.“

 

Award - $4,400

“A final-year undergraduate student in Australia will develop a Machine Learning algorithm to identify and classify tidal features around galaxies in LSST. The student will be co-supervised by members of the Galaxies and Informatics and Statistics Science Collaborations.”

Award - $5,000

"This project will produce simulated galaxy catalogs with realistic galaxy shapes and orientations. These catalogs, which will be available to the LSST community, will enable a range of studies to better understand the "intrinsic alignments" of galaxies and to validate mitigation strategies needed for robust cosmology with weak lensing and galaxy clustering."

Award - $5,000

“We will test methods to robustly detect and classify EBs in LSST light curves.  We will first adapt an existing pre-classifier that detects and flags EB candidates in TESS light curves, using the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC) dataset to optimize the code's metrics and thresholds for LSST data.  We will also use the synthetic EBs in the PLAsTiCC data to build out the architecture for a Convolutional Neural Network that can detect EBs in the LSST dataset, to be ready for training with LSST commissioning data.”

Award - $5,000

"LIneA has created a project to improve the performance of WaZP, a galaxy cluster finder and to study the evolution of the red-sequence of clusters, using an upgraded version of the portal infrastructure developed by LineA’s team to host science workflows.  The plan is to select two undergraduate students in physics and computer science to participate in our efforts to adapt and scale our infrastructure to the LSST data using DC2 as a test case."

Award - $5,000

"This award will support Bastien Carreres, PhD student, who is using measurements of Supernovae to understand the late time universe, it's expansion and the role of gravity.  Thanks to this award, he will attend the next in-person LSST-DESC collaboration meeting, present his work and visit collaborators in the US for a month long period. This is a great opportunity for him, to build a strong international network, and bring his project to maturity!"

Award - $4,995

"We are working to develop new tools which jointly model the intrinsic alignment of galaxies, photometric redshift uncertainties and galaxy bias using shared parameters. This will enable more robust cosmological constraints with LSST data"

Award - $5,000

"We will prepare to make the most detailed dark matter maps using weak lensing of galaxy clusters with the Rubin observatory.  TWe will assess the weak lensing systematics derived from a simulated stack of Rubin observations using the Photon Simulator (PhoSim) of a cluster of galaxy using modern analysis pipelines."

Award - $2,913

"The Vera C. Rubin Legacy Survey of Space and Time (LSST) will discover and monitor over 5 million Solar System objects. In total, this will generate a database of approximately a billion photometric and astrometric measurements. With the impending release of a full mock database of Solar System detections representative of 10 years of LSST operations, an undergraduate summer intern based at Queen's University Belfast, collaborating with Dr. Meg Schwamb and Dr. Grigori Fedorets,  will develop an opensource python package to visualize the orbits and properties of millions of data points  to enable the planetary community and the LSST Solar System Science Collaboration (SSSC) to dive into the LSST Solar System data."

Award - $5,000

"Ismael works on two complementary approaches to mitigating the blending problem in LSST DESC analyses, namely: (1) community software to train and evaluate deblending algorithms, and (2) a fully probabilistic algorithm that enables uncertainty propagation in galaxy measurements. The proposal encompasses a v1.0 code release for the Blending Toolkit (a DESC tool), the journal publication and code release of BLISS (a deep neural network approach to probabilistic deblending), and a DESC note illustrating BLISS incorporated into the Blending Toolkit."

Award - $5,000

"In this project we will make use of realistic cosmological simulations, to characterize a set of novel galaxy bias models, quantifying the range of scales over which they can be used given the expected statistical power of LSST, quantifying the corresponding achievable cosmological constraints with each of them. The most promising bias schemes resulting from this exercise will also be incorporated into the DESC analysis pipelines."

Award - $5,000

"This project will test Machine learning photometric redshift codes, on a realistic LSST-like data set under scenarios where training and test data have dramatically different distributions in colour-magnitude space, to investigate if multimodal posterior PDFs can be recovered"

Award - $5,000

"We propose to explore how the Rubin survey can be used to search for microlensing events,   articularly free-floating black holes in the MIlky Way when they gravitational lens a background star.  We will estimate the impact of various survey scenarios on microlensing searches, using population synthesis models to estimate candidate black hole yields with Rubin, and testing microlensing event identification pipelines from ZTF on simulated Rubin data."

Award - $5,000

"Tatiana Acero Cuellar,  Master student at Universidad Nacional de Colombia and Summer Intern at the University of Delaware, is leveraging Artificial Intelligence to simplify the process of detecting transients in astrophysical images. Traditionally, we need to subtract a sky template from each survey image to see if anything has changed brightness, but this is an extremely computationally expensive process, especially for Rubin LSST which will collect 500-800 3.2 Gigapixel images every night! Tatiana is training neural networks to bypass this expensive process altogether."

Award - $5,000

"Rubin LSST will be able to discover thousands of transients every night. Some of them will be rare, unusual, or even entirely unknown phenomena. Particularly interesting are those transients that change rapidly, but to truly understand the nature of phenomena that change on hours to days time scales Rubin observations will have to be augmented by timely follow-up photometry and spectroscopy at other telescopes. Astrophysicists distinguish transients from one another based on their color and rate of brightness change. Ming Lian, graduate student at University of Delaware, is mapping the known transients in the space of color and rate of change to allow us to test if simulated Rubin observing strategies allow us to immediately recognize those unusual transients from the rest."

Award - $5,000

"We will adapt and use LSST-DESC tools such as TXPipe, Core Cosmology Library in order to extract intrinsic alignments of galaxies from precursory data sets such as DES and KIDS surveys. Removing this astrophysical systematic will provide more accurate measurements of cosmic shear from LSST."

Award - $3,000

"True anomalies - objects and even populations whose existence have heretofore not been predicted from observation and/or theory - are among the most important potential scientific contributions of the Rubin Observatory LSST survey. This award will support the finalization of investigations into the sensitivity of the LSST to true anomalies discovered and measured by virtue of their kinematics, and to explore the implications for survey strategies that maximize sensitivity to these objects.”"

Award - $5,000

"We will complete our first round of development on SNAPS, the Solar System Notification Alert Processing System, with several tasks related to connecting our existing back-end database to our prototype front-end web server. The result will be the release of SNAPS v1.0, a fully functional tool that serves value-added data on ZTF-detected Solar System objects."

Award - $5,000

"Understanding our current model for the Universe is a main goal for the Vera Rubin Observatory Legacy Survey of Space and Time.  In our project, we will help paving the way for this study using state of the art pipelines and data sets, close to those which the project will employ in a few years.“

Award - $5,000

"The LSST Exploring transient optical sky-science opportunity No. 14 focuses on LSST light curves (LC) of active galactic nuclei (AGN) for photometric reverberation mapping (PhotoRM). We are building a deep learning engine (DLE) for AGN-LC nonparametric modeling and implementing the PhotoRM procedure to respond to the LSST operations, be adaptable to non-AGN LC, and  be tested on LSST Data Previews.”

Award - $5,000

“The Rubin Observatory LSST will open an unprecedented window on the low surface brightness Universe. The masses and distances of low surface brightness galaxies can be estimated from the abundances and luminosity functions of the globular cluster populations that they host. This grant will support an undergraduate student to investigate the potential for the Rubin Observatory LSST to detect and measure globular clusters associated with low-surface-brightness galaxies by developing and testing tools on precursor data from the Dark Energy Survey.”

Award - $5,000 x 2

"Students Qifeng Cheng and Ved Shah Gautam will work on the second version of the LSSTC Enabling Science Supported- PLAsTiCC project, working in close conjunction with the Dark Energy Science Collaboration, Transient and Variable Star Science Collaboration and community alert broker teams. They will be simulating LSST alerts from Changing-Look AGN (Qifeng) and M-dwarf flares (Ved) for a public classification challenge starting in Fall 2021, as well as developing machine-learning methods to classify the PLAsTiCC alerts."

Award - $5,000

"Alert Broker Filtering for an LSST-like Deep Drilling Survey Melissa Graham and Thomas Kennedy, University of Washington.  This student research project will contribute to the characterization and validation of alerts from the new Rubin-pathfinder program “Deep Drilling in the Time Domain with DECam”, to the scientific analysis of this rich dataset of detections at different depths and timescales, and the program's first results paper."

Award - $5,000

"Coming Soon"

Award - $5,000

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Award - $5,000

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Award - $5,000

"An LSST Observing Strategy Metric for Photometric Redshifts Melissa Graham and Murtaza Jafry, University of Washington. This student research project will build on existing software to provide an analysis of the photometric redshift quality expected from various LSST observing strategies that is robust, detailed, and presented in a journal publication. This work will also produce PZ-related software that will be available for all to use and should ultimately help optimize the extragalactic science impact of the LSST."

Award - $5,000

"Coming Soon"

Award - $5,000

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Award - $4,500

"Coming Soon"

Award - $4,421

"Coming Soon"

Award - $2,600

"Coming Soon"

Award - $5,000

"Coming Soon"

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