LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 2 of total 2

Search options

  1. Book ; Online: The weird and the wonderful in our Solar System

    Rogers, Brian / Lintott, Chris J. / Croft, Steve / Schwamb, Megan E. / Davenport, James R. A.

    Searching for serendipity in the Legacy Survey of Space and Time

    2024  

    Abstract: We present a novel method for anomaly detection in Solar System object data, in preparation for the Legacy Survey of Space and Time. We train a deep autoencoder for anomaly detection and use the learned latent space to search for other interesting ... ...

    Abstract We present a novel method for anomaly detection in Solar System object data, in preparation for the Legacy Survey of Space and Time. We train a deep autoencoder for anomaly detection and use the learned latent space to search for other interesting objects. We demonstrate the efficacy of the autoencoder approach by finding interesting examples, such as interstellar objects, and show that using the autoencoder, further examples of interesting classes can be found. We also investigate the limits of classic unsupervised approaches to anomaly detection through the generation of synthetic anomalies and evaluate the feasibility of using a supervised learning approach. Future work should consider expanding the feature space to increase the variety of anomalies that can be uncovered during the survey using an autoencoder.

    Comment: Accepted by AJ
    Keywords Astrophysics - Earth and Planetary Astrophysics ; Astrophysics - Instrumentation and Methods for Astrophysics ; Computer Science - Machine Learning
    Publishing date 2024-01-16
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  2. Book ; Online: From Data to Software to Science with the Rubin Observatory LSST

    Breivik, Katelyn / Connolly, Andrew J. / Ford, K. E. Saavik / Jurić, Mario / Mandelbaum, Rachel / Miller, Adam A. / Norman, Dara / Olsen, Knut / O'Mullane, William / Price-Whelan, Adrian / Sacco, Timothy / Sokoloski, J. L. / Villar, Ashley / Acquaviva, Viviana / Ahumada, Tomas / AlSayyad, Yusra / Alves, Catarina S. / Andreoni, Igor / Anguita, Timo /
    Best, Henry J. / Bianco, Federica B. / Bonito, Rosaria / Bradshaw, Andrew / Burke, Colin J. / de Campos, Andresa Rodrigues / Cantiello, Matteo / Caplar, Neven / Chandler, Colin Orion / Chan, James / da Costa, Luiz Nicolaci / Danieli, Shany / Davenport, James R. A. / Fabbian, Giulio / Fagin, Joshua / Gagliano, Alexander / Gall, Christa / Camargo, Nicolás Garavito / Gawiser, Eric / Gezari, Suvi / Gomboc, Andreja / Gonzalez-Morales, Alma X. / Graham, Matthew J. / Gschwend, Julia / Guy, Leanne P. / Holman, Matthew J. / Hsieh, Henry H. / Hundertmark, Markus / Ilić, Dragana / Ishida, Emille E. O. / Jurkić, Tomislav

    2022  

    Abstract: The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) dataset will dramatically alter our understanding of the Universe, from the origins of the Solar System to the nature of dark matter and dark energy. Much of this research will depend ... ...

    Abstract The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) dataset will dramatically alter our understanding of the Universe, from the origins of the Solar System to the nature of dark matter and dark energy. Much of this research will depend on the existence of robust, tested, and scalable algorithms, software, and services. Identifying and developing such tools ahead of time has the potential to significantly accelerate the delivery of early science from LSST. Developing these collaboratively, and making them broadly available, can enable more inclusive and equitable collaboration on LSST science. To facilitate such opportunities, a community workshop entitled "From Data to Software to Science with the Rubin Observatory LSST" was organized by the LSST Interdisciplinary Network for Collaboration and Computing (LINCC) and partners, and held at the Flatiron Institute in New York, March 28-30th 2022. The workshop included over 50 in-person attendees invited from over 300 applications. It identified seven key software areas of need: (i) scalable cross-matching and distributed joining of catalogs, (ii) robust photometric redshift determination, (iii) software for determination of selection functions, (iv) frameworks for scalable time-series analyses, (v) services for image access and reprocessing at scale, (vi) object image access (cutouts) and analysis at scale, and (vii) scalable job execution systems. This white paper summarizes the discussions of this workshop. It considers the motivating science use cases, identified cross-cutting algorithms, software, and services, their high-level technical specifications, and the principles of inclusive collaborations needed to develop them. We provide it as a useful roadmap of needs, as well as to spur action and collaboration between groups and individuals looking to develop reusable software for early LSST science.

    Comment: White paper from "From Data to Software to Science with the Rubin Observatory LSST" workshop
    Keywords Astrophysics - Instrumentation and Methods for Astrophysics
    Subject code 303
    Publishing date 2022-08-04
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

To top