This is the third paper of a series describing the Asiago-ESO/RASS QSO survey (AERQS), a project aimed at the construction of an all-sky statistically well-defined sample of relatively bright QSOs (B<15) at z<0.3. We present here the clustering analysis of the full spectroscopically identified database (392 AGN). The clustering signal at 0.0
We study the large-scale spatial distribution of low-redshift quasars and luminous Seyfert~1 galaxie...
Machine learning techniques can provide powerful tools to detect patterns in multidimensional parame...
We analyse the spatial clustering properties of the RASS1 Bright Sample, an X-ray flux-limited catal...
This is the third paper in a series describing the Asiago-ESO/RASS QSO Survey (AERQS), a project aim...
This is the second paper of a series describing the Asiago-ESO/RASS QSO survey, a project aimed at t...
We present progress results of a new survey for bright QSOs (V30. The surface density of QSOs bright...
The evolution of quasar clustering is investigated with a new sample of 388 quasars with 0.3 = 15 h...
We present detailed clustering measurements from the 2dF Quasi-Stellar Object Redshift Survey (2QZ) ...
We combine the quasi-stellar object (QSO) samples from the 2dF QSO Redshift Survey (2QZ) and the 2dF...
In this Paper we present a clustering analysis of QSOs as a function of luminosity over the redshift...
The evolution of QSO clustering is investigated with a new sample of 388 QSOs with 0.3<z<2.2, B<20.5...
In this Paper we present a clustering analysis of QSOs as a function of luminosity over the redshift...
We present the clustering measurements of quasars in configuration space based on the Data Release 1...
A brief introduction is given to some aspects of the statistical description of the luminous matter ...
We combine the QSO samples from the 2dF QSO Redshift Survey (2QZ) and the 2dF-SDSS LRG and QSO Surve...
We study the large-scale spatial distribution of low-redshift quasars and luminous Seyfert~1 galaxie...
Machine learning techniques can provide powerful tools to detect patterns in multidimensional parame...
We analyse the spatial clustering properties of the RASS1 Bright Sample, an X-ray flux-limited catal...
This is the third paper in a series describing the Asiago-ESO/RASS QSO Survey (AERQS), a project aim...
This is the second paper of a series describing the Asiago-ESO/RASS QSO survey, a project aimed at t...
We present progress results of a new survey for bright QSOs (V30. The surface density of QSOs bright...
The evolution of quasar clustering is investigated with a new sample of 388 quasars with 0.3 = 15 h...
We present detailed clustering measurements from the 2dF Quasi-Stellar Object Redshift Survey (2QZ) ...
We combine the quasi-stellar object (QSO) samples from the 2dF QSO Redshift Survey (2QZ) and the 2dF...
In this Paper we present a clustering analysis of QSOs as a function of luminosity over the redshift...
The evolution of QSO clustering is investigated with a new sample of 388 QSOs with 0.3<z<2.2, B<20.5...
In this Paper we present a clustering analysis of QSOs as a function of luminosity over the redshift...
We present the clustering measurements of quasars in configuration space based on the Data Release 1...
A brief introduction is given to some aspects of the statistical description of the luminous matter ...
We combine the QSO samples from the 2dF QSO Redshift Survey (2QZ) and the 2dF-SDSS LRG and QSO Surve...
We study the large-scale spatial distribution of low-redshift quasars and luminous Seyfert~1 galaxie...
Machine learning techniques can provide powerful tools to detect patterns in multidimensional parame...
We analyse the spatial clustering properties of the RASS1 Bright Sample, an X-ray flux-limited catal...