Kickstarter Science Colloquium
The first in our planned series of colloquia featuring recent work in preparation for science with LSST! Everyone is encouraged to attend.
“Trailblazer: An Open Data Repository for Satellite-Streaked Images”
By Meredith Rawls and Dino Bektesevic
“Detection vs interpretation, kilonovae with lsst.”
By Fabio Ragosta
See abstracts below for details
Monday Oct 3, 2022
16:30 - 17:30 UTC
9:30 - 10:30am PDT
12:30 - 1:30pm EDT
6:30 - 7:30pm CEST
Meeting link: Launch Meeting - Zoom
Trailblazer: An Open Data Repository for Satellite-Streaked Images
Meredith Rawls and Dino Bektesevic
An increasing population of commercial satellites is significantly impacting ground-based astronomical observations. To address this, we have built a new Trailblazer web portal, which aims to enable quantitative studies of streaks from satellites in images as the satellite population changes. Trailblazer is written in Python and Django, and allows users to upload and retrieve images affected by satellite streaks. Trailblazer stores uploaded FITS images in the cloud and saves key header information in a metadata database. Users can run queries to find satellite-streaked images by date and time, observer location, sky position, telescope, instrument, and band or filter. Images and metadata may be accessed through a RESTful API or a web query interface. To better disseminate the impact of satellite streaks on astronomy, each image also appears in a gallery for users to browse. Trailblazer is designed to be accessible to astronomers and other stakeholders to collaborate on mitigating the impact of satellite streaks, and is a cornerstone of SatHub at the new International Astronomical Union (IAU) Centre for the Protection of the Dark and Quiet Sky for Satellite Constellation Interference (CPS). Trailblazer launched in June 2022 thanks to funding from the LSSTC Kickstarter Grant Program, which enabled us to pay undergrads for software development. Check it out and upload your satellite photobombs: https://trailblazer.dirac.dev.
Detection vs interpretation, kilonovae with lsst.
The search for kilonova (KN) emissions in the transient sky is one of the main challenges of the multi-messenger astronomy and thanks to the discovery of the first electromagnetic counterpart, named AT2017gfo (referred as GRB170817A or GW170817), we had the possibility to have the most reliable description of the physics that drives this type of phenomena.
The search of the EM counterpart of a GW source is made extremely arduous both by the size of the error areas returned by the interferometers and by the observational properties of these objects which are very rapid and rare
Wide Field surveys, such as LSST, can represent the perfect tool to tackle these problems, due to their cadence and the big area they will screen.
In this talk, I will present an analysis on the detectability of KNe emission through LSST survey. This study will probe the possibility with such surveys to have a detailed census of these events and to have more constraints on their properties (e.g. opacity, ejecta mass and velocity).