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We report multi-wavelength observations and characterization of the ultraluminous transient AT 2021lwx (ZTF20abrbeie; aka ``Barbie'') identified in the alert stream of the Zwicky Transient Facility (ZTF) using a Recommender Engine For…

When planning a survey for astronomical transients, many factors such as cadence, filter choice, sky coverage, and depth of observations need to be balanced in order to optimize the scientific gain of the survey. Here we present a software…

Instrumentation and Methods for Astrophysics · Physics 2019-10-09 Ulrich Feindt , Jakob Nordin , Mickael Rigault , Valéry Brinnel , Suhail Dhawan , Ariel Goobar , Marek Kowalski

Time-domain surveys have advanced astronomical research by revealing diverse variable phenomena, from stellar flares to transient events. The scale and complexity of survey data, along with the demand for rapid classification, present…

Instrumentation and Methods for Astrophysics · Physics 2025-12-10 Xiaoxiong Zuo , Yihan Tao , Yang Huang , Zhixuan Kang , Huaxi Chen , Chenzhou Cui , Jiashu Pan , Xiao Kong , Xiaoyu Tang , Henggeng Han , Haiyang Mu , Yunfei Xu , Dongwei Fan , Guirong Xue , Ali Luo , Jifeng Liu

As Artificial Intelligence (AI) is used in more applications, the need to consider and mitigate biases from the learned models has followed. Most works in developing fair learning algorithms focus on the offline setting. However, in many…

Machine Learning · Computer Science 2021-08-24 Wenbin Zhang , Albert Bifet , Xiangliang Zhang , Jeremy C. Weiss , Wolfgang Nejdl

During the last decade, considerable effort has been made to perform automatic classification of variable stars using machine learning techniques. Traditionally, light curves are represented as a vector of descriptors or features used as…

Instrumentation and Methods for Astrophysics · Physics 2020-02-12 Ignacio Becker , Karim Pichara , Márcio Catelan , Pavlos Protopapas , Carlos Aguirre , Fatemeh Nikzat

State-of-the-art pre-trained image models predominantly adopt a two-stage approach: initial unsupervised pre-training on large-scale datasets followed by task-specific fine-tuning using Cross-Entropy loss~(CE). However, it has been…

Computer Vision and Pattern Recognition · Computer Science 2024-11-18 Zijun Long , George Killick , Lipeng Zhuang , Gerardo Aragon-Camarasa , Zaiqiao Meng , Richard Mccreadie

With the coming data deluge from synoptic surveys, there is a growing need for frameworks that can quickly and automatically produce calibrated classification probabilities for newly-observed variables based on a small number of time-series…

The CHIME/FRB collaboration has recently published a catalog containing about half a thousand fast radio bursts (FRBs) including their spectra and several reconstructed properties, like signal widths, amplitudes, etc. We have developed a…

High Energy Astrophysical Phenomena · Physics 2022-02-22 Anastasia Chaikova , Dmitriy Kostunin , Sergei B. Popov

The upcoming Legacy Survey of Space and Time (LSST) is expected to detect a few million transients per night, which will generate a live alert stream during the entire ten years of the survey. This stream will be distributed via community…

Instrumentation and Methods for Astrophysics · Physics 2024-12-18 B. M. O. Fraga , C. R. Bom , A. Santos , E. Russeil , M. Leoni , J. Peloton , E. E. O. Ishida , A. Möller , S. Blondin

With the advent of large-scale astronomical surveys such as the Zwicky Transient Facility (ZTF), the number of alerts generated by transient, variable and moving astronomical objects is growing rapidly, reaching millions per night.…

Earth and Planetary Astrophysics · Physics 2024-01-12 R. Le Montagner , J. Peloton , B. Carry , J. Desmars , D. Hestroffer , R. A. Mendez , A. C. Perlbarg , W. Thuillot

ALICE (A Large Ion Collider Experiment) is one of four major experiments at the Large Hadron Collider (LHC) at CERN. The High Level Trigger (HLT) is a compute cluster, which reconstructs collisions as recorded by the ALICE detector in…

Active Learning (AL) is increasingly important in a broad range of applications. Two main AL principles to obtain accurate classification with few labeled data are refinement of the current decision boundary and exploration of poorly…

Machine Learning · Computer Science 2012-10-19 Jens Roeder , Boaz Nadler , Kevin Kunzmann , Fred A. Hamprecht

The ALICE detector was designed to identify hadrons over a wide range of transverse momentum at mid-rapidity. Here measurements of light charged ({\pi}, K, p) and neutral ({\Lambda}, K0S) hadrons in Pb-Pb collisions at sqrt(s_NN) = 2.76 TeV…

Nuclear Experiment · Physics 2019-08-13 L. S. Barnby

Modern wide-field time-domain surveys produce alert streams whose scientific potential is often concentrated in rare and unusual events. Efficient discovery therefore requires automated pipelines to be combined with rapid expert validation…

New models of the attention-based random forests called LARF (Leaf Attention-based Random Forest) are proposed. The first idea behind the models is to introduce a two-level attention, where one of the levels is the "leaf" attention and the…

Machine Learning · Computer Science 2022-10-12 Andrei V. Konstantinov , Lev V. Utkin

"Alert fatigue" is one of the biggest challenges faced by the Security Operations Center (SOC) today, with analysts spending more than half of their time reviewing false alerts. Endpoint detection products raise alerts by pattern matching…

Cryptography and Security · Computer Science 2024-05-09 Jonathan Oliver , Raghav Batta , Adam Bates , Muhammad Adil Inam , Shelly Mehta , Shugao Xia

Noise of non-astrophysical origin will contaminate science data taken by the Advanced Laser Interferometer Gravitational-wave Observatory (aLIGO) and Advanced Virgo gravitational-wave detectors. Prompt characterization of instrumental and…

Instrumentation and Methods for Astrophysics · Physics 2015-10-21 Jade Powell , Daniele Trifiro , Elena Cuoco , Ik Siong Heng , Marco Cavaglia

The relative rates of single- and double- diffractive processes were measured with the ALICE detector by studying properties of gaps in the pseudorapidity distribution of particles produced in proton-proton collisions at $\sqrt{s}$ = 0.9…

High Energy Physics - Experiment · Physics 2019-08-13 M. G. Poghosyan

The Legacy Survey of Space and Time (LSST) at the Vera C. Rubin Observatory will discover tens of thousands of extragalactic transients each night. The high volume of alerts demands immediate classification of transient types in order to…

Astrophysics of Galaxies · Physics 2023-01-11 Marina Kisley , Yu-Jing Qin , Ann Zabludoff , Kobus Barnard , Chia-Lin Ko

We propose a framework for top-down salient object detection that incorporates a tightly coupled image classification module. The classifier is trained on novel category-aware sparse codes computed on object dictionaries used for saliency…

Computer Vision and Pattern Recognition · Computer Science 2016-04-25 Hisham Cholakkal , Jubin Johnson , Deepu Rajan
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