Towards the Epeak rest -E iso correlation in GRBs in the BATSE Catalog: A progress report

Bibcode
2005NCimC..28..319P
DOI
10.1393/ncc/i2005-10050-4
Pizzichini, G.; Ferrero, P.; Genghini, M.; Gianotti, F.; Topinka, M.
Referencia bibliográfica

Il Nuovo Cimento C, vol. 28, Issue 3, p.319

Fecha de publicación:
5
2005
Número de autores
5
Número de autores del IAC
0
Número de citas
4
Número de citas referidas
3
Descripción
The present paper is a progress report on our work towards estimating the energy emission involved in the many Gamma-Ray Bursts for which no redshift has been actually measured. Once such an estimate is obtained, we can try to extend the E peak rest-Eiso relation found by Amati et al.(Astron. Astrophys., 390 (2002) 81) to those events. Following Atteia (Astron. Astrophys., 407 (2003) L1) we obtain a pseudo-redshift () estimate which then allows us to estimate E peak rest and Eiso for each burst.
Tipo
Con árbitro

Te puede interesar

  • Con árbitro
    An ultra-short-period super-Earth with an extremely high density and an outer companion
    We present the discovery and characterization of a new multi-planetary system around the Sun-like star K2-360 (EPIC 201595106). K2-360 was first identified in K2 photometry as the host of an ultra-short-period (USP) planet candidate with a period of 0.88 d. We obtained follow-up transit photometry, confirming the star as the host of the signal
    Livingston, John H. et al.

    Fecha de publicación:

    11
    2024
    Bibcode
    2024NatSR..1427219L
    Número de citas
    0
  • Con árbitro
    Neural calibration of imaging Stokes polarimeters
    Current polarimetric calibration techniques derive the instrument modulation matrix by numerically fitting an instrumental model to measurements of a set of calibration Stokes vectors. These techniques are typically limited to an error on the retrieved normalized Stokes Q, U and V parameters, in the $1\times10^{-2}$ to $1\times10^{-3}$ range. This
    Iglesias, F. A. et al.

    Fecha de publicación:

    8
    2024
    Bibcode
    2024BAAA...65..281I
    Número de citas
    0
  • Con árbitro
    Model-based identification of solar coronal mass ejections using deep neural networks
    Coronal mass ejections (CMEs) are a major driver of space weather and thus can have important negative technological and social impacts. To assess their geoeffectiveness once they are ejected, it is crucial their prompt identification in coronagraph images. In the last decade, deep neural networks (DNN) have experienced enormous improvements in
    Iglesias, F. A. et al.

    Fecha de publicación:

    8
    2024
    Bibcode
    2024BAAA...65...17I
    Número de citas
    0