UV and optical variability of the low luminosity quasar PG 1351+64

Bibcode
1986ESASP.263..617T
Tanzi, E. G.; Falomo, R.; Malkan, M. A.; Maraschi, L.; Mediavilla, E.; Treves, A.
Bibliographical reference

In ESA Proceedings of an International Symposium on New Insights in Astrophysics. Eight Years of UV Astronomy with IUE p 617-619 (SEE N87-19150 11-88)

Advertised on:
9
1986
Number of authors
6
IAC number of authors
0
Citations
2
Refereed citations
2
Description
PG 1351+64 is a bright radio quiet quasar (z = 0.088, mV ≅ 14). IUE observations obtained within few months in 1982 - 1983 showed variations in the 1200 - 2000 Å band up to a factor of 2. Since then the object has been monitored regularly. The observations of 1984 - 1986, including also archival data, have more than doubled the number of available spectra in the UV. In particular the source was found in its brightest state, both in the optical and UV bands, in 1986 February.
Type
Non-refereed
Quasars

It may interest you

  • Non-refereed
    Generating galaxy clusters mass density maps from mock multiview images via deep learning
    Galaxy clusters are composed of dark matter, gas and stars. Their dark matter component, which amounts to around 80% of the total mass, cannot be directly observed but traced by the distribution of diffused gas and galaxy members. In this work, we aim to infer the cluster's projected total mass distribution from mock observational data, i.e. stars
    de Andres, Daniel et al.

    Advertised on:

    6
    2024
    Bibcode
    2024EPJWC.29300013D
    Citations
    0
  • Non-refereed
    A machine learning method to infer clusters of galaxies mass radial profiles from mock Sunyaev-Zel'dovich maps with The Three Hundred clusters
    Our study introduces a new machine learning algorithm for estimating 3D cumulative radial profiles of total and gas mass in galaxy clusters from thermal Sunyaev-Zel'dovich (SZ) effect maps. We generate mock images from 2522 simulated clusters, employing an autoencoder and random forest in our approach. Notably, our model makes no prior assumptions
    Ferragamo, A. et al.

    Advertised on:

    6
    2024
    Bibcode
    2024EPJWC.29300019F
    Citations
    0
  • Non-refereed
    The European Low Frequency Survey. Observing the radio sky to understand the beginning of the Universe
    In this paper we present the European Low Frequency Survey (ELFS), a project that will enable the detection of primordial B-mode polarization by measuring the Galactic and extra-Galactic foregrounds in the 5- 120 GHz frequency window. Indeed, the main difficulty in measuring the Bmode polarization comes not just from its sheer faintness, but from
    Mennella, A. et al.

    Advertised on:

    6
    2024
    Bibcode
    2024EPJWC.29300031M
    Citations
    0