Two dimensional clustering of Gamma-Ray Bursts using durations and hardness

Bhave, Aishwarya; Srijith, P. K.; Kulkarni, Soham; Desai, S.

doi:10.1007/s10509-022-04068-z

Cited by 18 publications

(9 citation statements)

References 77 publications

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“…XDGMM Extreme Deconvolution (XDGMM) is a generalization of Gaussian Mixture Model [23] (GMM), which incoporates the uncertainty in the observed data [18,24,25]. It has been used for a variety of astrophysical applications, including determining the velocity distribution from Hipparcos [18], classification of pulsars [20] and GRBs [21], the threedimensional motions of Sagittarius stream stars [26], bifurcation of neutron star masses [27], detection of dark matter subhalo candidates [28]. We provide a brief description of the XDGMM method, and use the same notation as [20,21].…”

Section: Methodsmentioning

confidence: 99%

“…It has been used for a variety of astrophysical applications, including determining the velocity distribution from Hipparcos [18], classification of pulsars [20] and GRBs [21], the threedimensional motions of Sagittarius stream stars [26], bifurcation of neutron star masses [27], detection of dark matter subhalo candidates [28]. We provide a brief description of the XDGMM method, and use the same notation as [20,21]. More details about XDGMM can be found in [18,24,25].…”

Section: Methodsmentioning

confidence: 99%

“…In this work, we carry out a clustering based analysis of pulsar glitch amplitudes based on Extreme Deconvolution based Gaussian Mixture model [18] and determine the optimum number of classes using information theoretical criteria [19]. This work is a followup of our previous studies, where we applied these same techniques for the classification of pulsars (using their period and period derivatives) [20] and Gamma-Ray Bursts (using durations and hardness) [21].…”

Section: Introductionmentioning

confidence: 99%

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Classification of Pulsar Glitch Amplitudes using Extreme Deconvolution

Arumugam,

Desai

2022

Preprint

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We carry out a classification of the glitch amplitudes of radio pulsars using Extreme Deconvolution based Gaussian Mixture Model, where the observed uncertainties in the glitch amplitude ∆ν ν are taken into account. We then use information theory criteria such as AIC and BIC to determine the optimum number of glitch classes. We find that both AIC and BIC show that the pulsar glitch amplitudes can be optimally described using a bimodal distribution. The mean values of ∆ν ν for the two components are equal to 5.9 × 10 −9 and 1.3 × 10 −6 , respectively. The unified dataset and analysis codes used in this work have been made publicly available.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Classification of Pulsar Glitch Amplitudes using Extreme Deconvolution

Arumugam,

Desai

2022

Preprint

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“…Long GRBs are usually associated with core-collapse SN [129] and short GRBs with neutron star mergers [130]. There are however many exceptions to the aforementioned dichotomy, and arguments for additional GRB sub-classes have also been made [131,132] (and references therein). Similar to AGNs, most searches of LIV with GRBs have been done using spectral lags.…”

Section: Gamma-ray Burstsmentioning

confidence: 99%

Astrophysical and Cosmological Searches for Lorentz Invariance Violation

Desai¹

2023

Preprint

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Lorentz invariance is one of the fundamental tenets of Special Relativity, and has been extensively tested with laboratory and astrophysical observations. However, many quantum gravity models and theories beyond the Standard Model of Particle Physics predict a violation of Lorentz invariance at energies close to Planck scale. This article reviews observational and experimental tests of Lorentz invariance violation (LIV) with photons, neutrinos and gravitational waves. Most astrophysical tests of LIV using photons are based on searching for a correlation of the spectral lag data with redshift and energy. These have been primarily carried out using compact objects such as pulsars, Active Galactic Nuclei (AGN), and Gamma-ray bursts (GRB). There have also been some claims for LIV from some of these spectral lag observations with GRBs, which however are in conflict with the most stringent limits obtained from other LIV searches. Searches have also been carried out using polarization measurements from GRBs and AGNs. For neutrinos, tests have been made using both astrophysical observations at MeV energies (from SN 1987A) as well as in the TeV-PeV energy range based on IceCube observations, atmospheric neutrinos, and long-baseline neutrino oscillation experiments. Cosmological tests of LIV entail looking for a constancy of the speed of light as a function of redshift using multiple observational probes, as well as looking for birefringence in Cosmic Microwave background observations. This article will review all of these aforementioned observational tests of LIV, including results which are in conflict with each other.

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“…Long GRBs are usually associated with core-collapse SN [31] and short GRBs with neutron star mergers [32]. There are however many exceptions to the aforementioned dichotomy, and many claims for additional GRB sub-classes have also been made [33,34] (and references therein).…”

Section: Introductionmentioning

confidence: 99%

Search for Lorentz Invariance Violation using Bayesian model comparison applied to Xiao et al. GRB spectral lag catalog

Desai¹,

Agrawal²,

Singirikonda³

2022

Preprint

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We use the spectral lag catalog of 46 short GRBs obtained by Xiao et al [1] between two fixed energy intervals in the source frame, to carry out an independent search for Lorentz Invariance violation (LIV). For this purpose, we use a power-law model as a function of energy for the intrinsic astrophysical induced spectral lags. The expansion history of the universe needed for the evaluation of LIV was obtained in a non-parametric method using cosmic chronometers. We use Bayesian model comparison to determine if the aforementioned spectral lags show evidence for LIV as compared to only astrophysically induced lags. We do any find any evidence for LIV, and obtain 95% c.l. lower limits for the energy scale of LIV to be 4 × 10 15 GeV and 6.8 × 10 9 GeV for the linear and quadratic LIV models respectively.

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Two dimensional clustering of Gamma-Ray Bursts using durations and hardness

Cited by 18 publications

References 77 publications

Classification of Pulsar Glitch Amplitudes using Extreme Deconvolution

Classification of Pulsar Glitch Amplitudes using Extreme Deconvolution

Astrophysical and Cosmological Searches for Lorentz Invariance Violation

Search for Lorentz Invariance Violation using Bayesian model comparison applied to Xiao et al. GRB spectral lag catalog

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