2003天文和天体物理学研究:英文版Open access

On the Spectral Index-Flux Density Relation for Large Samples of Radio Sources

Xizhen Zhang, W. Reich, P. Reich, R. Wielebinski

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Abstract

We present new statistical results on the spectral index–flux density relation for large samples of radio sources using archival data of the most sensitive surveys, such as 6C, Miyun, WENSS, B3, NVSS, GB87. Instrumental selection effects and the completeness of the catalogs are discussed. Based on the spectral indices calculated for about 200 000 sources from the WENSS (327 MHz) and NVSS (1.4 GHz) catalogs, we obtained (1) The median spectral index increases from α med ∼ −0.9 to α med ∼ −0.8 ( S v ∝ v α ), while S 327 flux densities decrease from 0.1 Jy down to 25 mJy. The median spectral indices nearly show no variation within the error bars when the flux density is larger than 0.1 Jy. (2) A dependence of the fraction of ultra-steep spectrum sources (USS, −1.5 ⩽ α < −1.0), steep spectrum sources (SSS, −1.0 ⩽ α < −0.5) and flat spectrum sources (FSS, −0.5 ⩽ α ⩽ 0.0) is partly responsible for the spectral flattening. Another contribution to the spectral flattening comes from the variation of α med of steep spectrum sources (α < −0.5) themselves which increases with decreasing flux densities. (3) The spectral flattening for faint sources (down to S 327 ∼ 20 mJy ) with steep spectra (α < −0.5) suggests that is correlated with luminosity rather than redshift according to the Condon' model. (4) A strong spectral selection effect occurs when spectral indices are calculated from samples with a large frequency separation.

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We present new statistical results on the spectral index–flux density relation for large samples of radio sources using archival data of the most sensitive surveys, such as 6C, Miyun, WENSS, B3, NVSS, GB87. Instrumental selection effects and the completeness of the catalogs are discussed. Based on the spectral indices calculated for about 200 000 sources from the WENSS (327 MHz) and NVSS (1.4 GHz) catalogs, we obtained (1) The median spectral index increases from α med ∼ −0.9 to α med ∼ −0.8 ( S v ∝ v α ), while S 327 flux densities decrease from 0.1 Jy down to 25 mJy. The median spectral indices nearly show no variation within the error bars when the flux density is larger than 0.1 Jy. (2) A dependence of the fraction of ultra-steep spectrum sources (USS, −1.5 ⩽ α < −1.0), steep spectrum sources (SSS, −1.0 ⩽ α < −0.5) and flat spectrum sources (FSS, −0.5 ⩽ α ⩽ 0.0) is partly responsible for the spectral flattening. Another contribution to the spectral flattening comes from the variation of α med of steep spectrum sources (α < −0.5) themselves which increases with decreasing flux densities. (3) The spectral flattening for faint sources (down to S 327 ∼ 20 mJy ) with steep spectra (α < −0.5) suggests that is correlated with luminosity rather than redshift according to the Condon' model. (4) A strong spectral selection effect occurs when spectral indices are calculated from samples with a large frequency separation.

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Available abstract

We present new statistical results on the spectral index–flux density relation for large samples of radio sources using archival data of the most sensitive surveys, such as 6C, Miyun, WENSS, B3, NVSS, GB87. Instrumental selection effects and the completeness of the catalogs are discussed. Based on the spectral indices calculated for about 200 000 sources from the WENSS (327 MHz) and NVSS (1.4 GHz) catalogs, we obtained (1) The median spectral index increases from α med ∼ −0.9 to α med ∼ −0.8 ( S v ∝ v α ), while S 327 flux densities decrease from 0.1 Jy down to 25 mJy. The median spectral indices nearly show no variation within the error bars when the flux density is larger than 0.1 Jy. (2) A dependence of the fraction of ultra-steep spectrum sources (USS, −1.5 ⩽ α < −1.0), steep spectrum sources (SSS, −1.0 ⩽ α < −0.5) and flat spectrum sources (FSS, −0.5 ⩽ α ⩽ 0.0) is partly responsible for the spectral flattening. Another contribution to the spectral flattening comes from the variation of α med of steep spectrum sources (α < −0.5) themselves which increases with decreasing flux densities. (3) The spectral flattening for faint sources (down to S 327 ∼ 20 mJy ) with steep spectra (α < −0.5) suggests that is correlated with luminosity rather than redshift according to the Condon' model. (4) A strong spectral selection effect occurs when spectral indices are calculated from samples with a large frequency separation.

Key concepts: Flattening, Spectral index, Astrophysics, Physics, Flux (metallurgy), Spectral line, Redshift, Luminosity

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