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Binary neutron star (BNS) post-merger gravitational-wave emission can occur in the aftermath of a BNS merger -- provided the system avoids prompt collapse to a black hole -- as a quasistable hypermassive remnant experiences quadrupolar…

Core-collapse supernovae are expected to produce multimessenger signals. Low-energy neutrinos and gravitational waves are important to study the explosion mechanism of these events. The simulations and detections of gravitational waves from…

High Energy Astrophysical Phenomena · Physics 2021-11-01 Odysse Halim , Claudio Casentini , Marco Drago , Viviana Fafone , Kate Scholberg , Carlo Vigorito , Giulia Pagliaroli

We consider a setting, where the output of a linear dynamical system (LDS) is, with an unknown but fixed probability, replaced by noise. There, we present a robust method for the prediction of the outputs of the LDS and identification of…

Machine Learning · Computer Science 2018-08-06 Jakub Marecek , Tigran Tchrakian

Core-collapse supernovae are fascinating astrophysical objects for multimessenger studies. Gravitational waves (GWs) are expected to play a role in the supernova explosion mechanism, but their modelling is also challenging due to the…

High Energy Astrophysical Phenomena · Physics 2021-11-10 Odysse Halim , Claudio Casentini , Marco Drago , Viviana Fafone , Kate Scholberg , Carlo Francesco Vigorito , Giulia Pagliaroli

Neutrinos are pivotal signals in multi-messenger observations of supernovae (SNe). Recent advancements in the analysis method of supernova (SN) neutrinos, especially in quantitative analysis, have significantly broadened scientific…

In the Global Navigation Satellite System (GNSS) context, the growing number of available satellites has lead to many challenges when it comes to choosing the most accurate pseudorange contributions, given the strong impact of biased…

Signal Processing · Electrical Eng. & Systems 2023-06-09 Ibrahim Sbeity , Christophe Villien , Benoît Denis , E. Veronica Belmega

The problem of identifying regions of spatially interesting, different or adversarial behavior is inherent to many practical applications involving distributed multisensor systems. In this work, we develop a general framework stemming from…

Signal Processing · Electrical Eng. & Systems 2022-06-14 Martin Gölz , Abdelhak M. Zoubir , Visa Koivunen

The accurate localization of gravitational-wave (GW) events in low-latency is a crucial element in the search for further multimessenger signals from these cataclysmic events. The localization of these events in low-latency uses…

We propose a conceptually and computationally simple method to evaluate the neutrinos emitted by supernova remnants using the observed gamma-ray spectrum. The proposed method does not require any preliminary parametrization of the gamma ray…

Astrophysics · Physics 2009-02-23 F. L. Villante , F. Vissani

We propose a new method to detect low-energy neutrinos and low-mass dark matter at or below the MeV scale, through their coherent scatterings from freely falling heavy atoms and the resulting kinematic shifts. We start with a simple…

High Energy Physics - Phenomenology · Physics 2023-03-07 Alim Ruzi , Sitian Qian , Tianyi Yang , Qiang Li

Optimization-based approaches dominate infrared small target detection as they leverage infrared imagery's intrinsic low-rankness and sparsity. While effective for single-frame images, they struggle with dynamic changes in multi-frame…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Fengyi Wu , Simin Liu , Haoan Wang , Bingjie Tao , Junhai Luo , Zhenming Peng

Solid state detectors and cryogenic detectors are widely employed in rare event searches, such as direct Dark Matter detection or Coherent Neutrino Nucleus Scattering experiments. The excellent sensitivity and, consequently, their low…

Instrumentation and Detectors · Physics 2019-06-20 M. Mancuso , A. Bento , N. Ferreiro Iachellini , D. Hauff , F. Petricca , F. Pröbst , J. Rothe , R. Strauss

Nuclear resonant excitation of the 29.19-keV level in $^{229}$Th with high-brilliance synchrotron- radiation and detection of its decay signal, are proposed with the aim of populating the extremely low-energy isomeric state of…

A central goal in experimental high energy physics is to detect new physics signals that are not explained by known physics. In this paper, we aim to search for new signals that appear as deviations from known Standard Model physics in…

Applications · Statistics 2022-12-14 Purvasha Chakravarti , Mikael Kuusela , Jing Lei , Larry Wasserman

Sources of astrophysical neutrinos can potentially be discovered through the detection of neutrinos in coincidence with electromagnetic counterparts. Real-time alerts generated by IceCube play an important role in this search, acting as…

High Energy Astrophysical Phenomena · Physics 2023-07-28 G. Sommani , C. Lagunas Gualda , H. Niederhausen

Core-collapse supernovae (CCSNe) offer extremely valuable insights into the dynamics of galaxies. Neutrino time profiles from CCSNe, in particular, could reveal unique details about collapsing stars and particle behavior in dense…

Because of the electromagnetic radiation produced during the merger, compact binary coalescences with neutron stars may result in multi-messenger observations. In order to follow up on the gravitational-wave signal with electromagnetic…

Gadolinium-loading of large water Cherenkov detectors is a prime method for the detection of the Diffuse Supernova Neutrino Background (DSNB). While the enhanced neutron tagging capability greatly reduces single-event backgrounds,…

Instrumentation and Detectors · Physics 2021-12-08 David Maksimović , Michael Nieslony , Michael Wurm

The MicroBooNE continuous readout stream is a parallel readout of the MicroBooNE liquid argon time projection chamber (LArTPC) which enables detection of non-beam events such as those from a supernova neutrino burst. The low energies of the…

Instrumentation and Detectors · Physics 2021-02-12 MicroBooNE collaboration , P. Abratenko , M. Alrashed , R. An , J. Anthony , J. Asaadi , A. Ashkenazi , S. Balasubramanian , B. Baller , C. Barnes , G. Barr , V. Basque , L. Bathe-Peters , O. Benevides Rodrigues , S. Berkman , A. Bhanderi , A. Bhat , M. Bishai , A. Blake , T. Bolton , L. Camilleri , D. Caratelli , I. Caro Terrazas , R. Castillo Fernandez , F. Cavanna , G. Cerati , Y. Chen , E. Church , D. Cianci , E. O. Cohen , J. M. Conrad , M. Convery , L. Cooper-Troendle , J. I. Crespo-Anadon , M. Del Tutto , D. Devitt , R. Diurba , L. Domine , R. Dorrill , K. Duffy , S. Dytman , B. Eberly , A. Ereditato , L. Escudero Sanchez , J. J. Evans , A. A. Fadeeva , G. A. Fiorentini Aguirre , R. S. Fitzpatrick , B. T. Fleming , N. Foppiani , D. Franco , A. P. Furmanski , D. Garcia-Gamez , S. Gardiner , S. Gollapinni , O. Goodwin , E. Gramellini , P. Green , H. Greenlee , L. Gu , W. Gu , R. Guenette , P. Guzowski , E. Hall , P. Hamilton , O. Hen , G. A. Horton-Smith , A. Hourlier , E. C. Huang , R. Itay , C. James , J. Jan de Vries , X. Ji , L. Jiang , J. H. Jo , R. A. Johnson , Y. J. Jwa , N. Kamp , G. Karagiorgi , W. Ketchum , B. Kirby , M. Kirby , T. Kobilarcik , I. Kreslo , R. LaZur , I. Lepetic , K. Li , Y. Li , B. R. Littlejohn , D. Lorca , W. C. Louis , X. Luo , A. Marchionni , S. Marcocci , C. Mariani , D. Marsden , J. Marshall , J. Martin-Albo , D. A. Martinez Caicedo , K. Mason , A. Mastbaum , N. McConkey , V. Meddage , T. Mettler , K. Miller , J. Mills , K. Mistry , T. Mohayai , A. Mogan , J. Moon , M. Mooney , A. F. Moor , C. D. Moore , J. Mousseau , M. Murphy , D. Naples , A. Navrer-Agasson , R. K. Neely , P. Nienaber , J. Nowak , O. Palamara , V. Paolone , A. Papadopoulou , V. Papavassiliou , S. F. Pate , A. Paudel , Z. Pavlovic , E. Piasetzky , I. Ponce-Pinto , D. Porzio , S. Prince , X. Qian , J. L. Raaf , V. Radeka , A. Rafique , M. Reggiani-Guzzo , L. Ren , L. Rochester , J. Rodriguez Rondon , H. E. Rogers , M. Rosenberg , M. Ross-Lonergan , B. Russell , G. Scanavini , D. W. Schmitz , A. Schukraft , M. H. Shaevitz , R. Sharankova , J. Sinclair , A. Smith , E. L. Snider , M. Soderberg , S. Soldner-Rembold , S. R. Soleti , P. Spentzouris , J. Spitz , M. Stancari , J. St. John , T. Strauss , K. Sutton , S. Sword-Fehlberg , A. M. Szelc , N. Tagg , W. Tang , K. Terao , R. T. Thornton , C. Thorpe , M. Toups , Y. -T. Tsai , S. Tufanli , M. A. Uchida , T. Usher , W. Van De Pontseele , R. G. Van de Water , B. Viren , M. Weber , H. Wei , Z. Williams , S. Wolbers , T. Wongjirad , M. Wospakrik , W. Wu , T. Yang , G. Yarbrough , L. E. Yates , G. P. Zeller , J. Zennamo , C. Zhang

This work studies the robust subspace tracking (ST) problem. Robust ST can be simply understood as a (slow) time-varying subspace extension of robust PCA. It assumes that the true data lies in a low-dimensional subspace that is either fixed…

Machine Learning · Computer Science 2022-09-01 Praneeth Narayanamurthy , Namrata Vaswani