Herbivorous
发表于 2025-3-23 14:10:20
Besonderheiten der bodennahen Turbulenz,poSAX data. This model gives a satisfactory description of the majority of the data. Nevertheless, . 30% need of accounting for substantial radiative cooling of the emitting electrons during the event.
Catheter
发表于 2025-3-23 20:13:58
https://doi.org/10.1007/978-3-662-53950-7 gamma-ray bursts collected at BATSE Catalog. The tests use the counts-in-cells method, an analysis of spherical harmonics, a test based on the two-point correlation function and a method based on multiscale methods. The tests suggest that the intermediate subclass of gamma-ray bursts are distributed anisotropically.
MEN
发表于 2025-3-23 22:54:54
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眨眼
发表于 2025-3-24 04:01:59
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NEG
发表于 2025-3-24 06:34:47
https://doi.org/10.1007/978-3-540-88382-1ime are estimated for 49 long APEX bursts detected with time resolution of 0.125 sec and 16 short event detected by time-to-spill mode with time resolution of fraction of ms. The APEX data is shown to confirm the bi-modaldistribution of emission time values found for BATSE bursts.
细微的差异
发表于 2025-3-24 12:21:41
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小步舞
发表于 2025-3-24 15:07:33
Testing the Optically Thin Synchrotron Shock Model for Gamma-Ray Bursts Spectra from 2 to 700 keV wpoSAX data. This model gives a satisfactory description of the majority of the data. Nevertheless, . 30% need of accounting for substantial radiative cooling of the emitting electrons during the event.
diskitis
发表于 2025-3-24 23:04:59
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LINE
发表于 2025-3-25 01:48:54
Gamma-Ray Burst Follow Up Observations with BOOTES in 1998-2000,GRBs). Error box size depending, it uses wide field cameras attached to small robotic telescopes or the telescopes themselves. To date we have acquired photometry for about 30 events with the Ultra Wide (UWFC) and the Narrow Field Cameras (NFC) and about 50 events with the Wide Field Camera (WFC).
PLIC
发表于 2025-3-25 04:41:55
Tools for Gamma-Ray Burst Data Mining,al clusterings necessarily indicate separate source populations. Subclass identification can aid our understanding of systematic observationaland instrumentalbiases. We demonstrate several computational pattern-finding tools, and show how these can be applied to the problems of GRB classification and subclass interpretation.