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Michael Strauss

Publications and source records attributed to Michael Strauss.

40 records · Page 3Linked to original sources

VLA Observations of Ultraluminous IRAS Galaxies: Active Nuclei or Starbursts?

We employed the Very Large Array (VLA) of the National Radio Astronomy Observatory in C configuration to map 39 ultraluminous IRAS galaxies at 6~cm and 20~cm, at resolutions of ~ 4" and 15", respectively, and 24 sources at 6~cm with in the A configuration with a resolution of ~0.5". Most of the sources have radio spectral indices indicative of synchrotron emission (alpha ~ -0.65). There is one source, however, that shows an inverted spectrum with alpha = +2.1; observations at higher frequencies show that the spectrum peaks between 5 and 8 GHz, as high as any of the ``gigahertz peaked spectrum'' sources studied by O'Dea etal. We discuss the implications of this source for observations of fluctuations in the CMB. Two of the sources show multiple unresolved components, another four are doubles with at least one resolved component, 14 show extended emission which could arise from a disk, and two show arc-second long jets. Our data fit the tight correlation found by Helou etal (1985) between far-infrared and microwave luminosity; this correlation extends to the highest infrared luminosities. The correlation is weaker if only the extended or the nuclear components of the radio luminosity are used. Therefore the far-infrared emission in the majority of these higher luminosity galaxies is due to the same mechanism as the lower luminosity FIR sources, which is believed to be star formation, rather than non-thermal activity in the nucleus. Moreover, the star formation is not confined to the extended disk in these sources, but is important in the nucleus as well.

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The IRAS 1.2 Jy Survey: Redshift Data

We present the redshift data for a survey of galaxies selected from the data base of the Infrared Astronomical Satellite (IRAS). This survey extends the 1.936 Jy sample of Strauss et al. (1992) from a flux limit of 1.936 Jy at 60 microns to 1.2 Jy. The survey extension consists of 3920 sources in the flux interval 1.2 - 1.936 Jy, of which 2663 are galaxies with measured redshifts. Fourteen objects (0.52%) do not have redshifts. The survey covers 87.6% of the sky. The data for the complete 1.2 Jy survey (the data presented here in addition to that of Strauss \etal 1992) may be obtained in a machine-readable form from the National Space Science Data Center and from the anonymous ftp site given above.

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Confrontation of the Lauer and Postman Cluster Velocity Field with Models

The large-scale bulk flow implied by the measurements of distances to brightest cluster members within 15,000 km/s by Lauer and Postman has the potential to put strong constraints on, or to even rule out, various models of large-scale structure. Using PM simulations 400$h^{-1}$ Mpc on a side of five cosmological models (Standard CDM, Tilted CDM, HDM, $Ω= 0.3$ CDM, and PBI), we present detailed Monte-Carlo simulations of the peculiar velocity data, which we use to assess the probability that any given model can explain the data. These models are ruled out at confidence levels ranging from 94\% (HDM) to 97\% (PBI). However, these results may be affected by the finite size of the simulation volume. If the observed bulk flow remains unchanged when calculated using a refined distance indicator with smaller scatter, all these models will be ruled out at high confidence levels.

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Tests of the Hubble Law from the Luminosity Function of IRAS Galaxies

All direct measurements of peculiar velocities of glaxies assume the Hubble law at low redshifts. However, it has been suggested by Segal et al (1993) that the correlation of redshifts and fluxes in a complete sample of IRAS galaxies is inconsistent with the Hubble law, and instead implies that redshifts are proportional to the square of distance at small redshift. The essence of the argument is that the luminosity function of galaxies itself can be used as a distance indicator. We examine this possibility critically using a variety of statistical tests, and conclude that the data do indeed support the Hubble law, although the strongest arguments require the assumption of small density contrasts on large scales. We identify several possible pitfalls in such an analysis which could lead one to an erroneous conclusion.

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