MUM. P. Ulmer

M. P. Ulmer

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


M. P. Ulmer has a total of 12 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • The Bright SHARC Survey: The Selection Function and Its Impact on the Cluster X‐Ray Luminosity Function

    by C. Adami, M. P. Ulmer, A. K. Romer, R. C. Nichol, B. P. Holden, R. A. Pildis

    We present the results of a comprehensive set of simulations designed to quantify the selection function of the Bright SHARC survey for distant clusters. The statistical significance of the simulations relied on the creation of many thousands of artificial clusters with redshifts and luminosities in the range 0.25 < z < 0.95 and 0.5 < LX < 10 × 1044 ergs s-1 (0.5-2.0 keV). We created one standard and 19 varied distribution functions, each of which assumed a different set of cluster, cosmological and operational parameters. The parameters we varied included the values of Ω0, ΩΛ, β, core radius (rc), and ellipticity (e). We also investigated how nonstandard surface brightness profiles (i.e., the Navarro, Frenk, & White, or NFW, model); cooling flows; and the ROSAT pointing target, influence the selection function in the Bright SHARC survey. For our standard set we adopted the parameters used during the derivation of the Bright SHARC Cluster X-Ray Luminosity Function (CXLF), i.e., Ω0 = 1, ΩΛ = 0 and an isothermal β model with β = 0.67, rc = 250 kpc, and e = 0.15. We found that certain parameters have a dramatic effect on our ability to detect clusters, e.g., the presence of a NFW profile or a strong cooling flow profile, or the value of rc and β. Other parameters had very little effect, e.g., the type of ROSAT target and the cluster ellipticity. At distant redshift (z > 0.8), elliptical clusters are significantly easier to detect than spherical ones in the Bright SHARC survey. We show also that all the tested parameters have only a small influence on the computed luminosity of the clusters (recovered luminosity in the text) except the presence of a strong cooling flow. We conclude that the CXLF presented by Nichol et al. in 1999 is robust (under the assumption of standard parameters), but stress the importance of cluster follow-up, by Chandra and XMM, in order to better constrain the morphology of the distant clusters found in the Bright SHARC and other surveys.


  • Open Access

    The Bright SHARC Survey: The Selection Function and its Impact on the Cluster X-ray Luminosity Function

    by C. Adami, M. P. Ulmer, A. K. Romer, R. C. Nichol, B. P. Holden, R. A. Pildis

    We present the results of a set of simulations designed to quantify the selection function of the Bright SHARC survey for distant clusters. The statistical significance of the simulations relied on the creation of thousands of artificial clusters with redshifts and luminosities in the range 0.25<z<0.95 and 0.5<L_X<10x10^44 erg/s (0.5-2.0 keV). We created 1 standard and 19 varied distribution functions, each of which assumed a different set of cluster, cosmological and operational parameters. The parameters we varied included the values of Omega_0, Omega_Lambda, Beta, core radius and ellipticity. We also investigated how non-standard surface brightness profiles; cooling flows; and the ROSAT pointing target, influence the selection function in the Bright SHARC survey. For our standard set we adopted the parameters used during the derivation of the Bright SHARC Cluster X-ray Luminosity Function (CXLF), i.e. Omega_0=1, Omega_Lambda=0 and an isothermal Beta model with beta=0.67, r_c=250 kpc and e=0.15. We found that certain parameters have a dramatic effect on our ability to detect clusters, e.g. the presence of a NFW profile or a strong cooling flow profile, or the value of r_c and beta. Other parameters had very little effect, e.g. the type of ROSAT target and the cluster ellipticity. We show also that all the tested parameters have only a small influence on the computed luminosity of the clusters except the presence of a strong cooling flow. We conclude that the CXLF presented in Nichol et al. (1999) is robust (under the assumption of standard parameters), but stress the importance of cluster follow-up in order to better constrain the morphology of the distant clusters found in the Bright SHARC and other surveys.

  • Open Access

    The Canada-France-Hawaii Telescope Optical PDCS Survey (COP). I. The Data

    by C. Adami, B. P. Holden, F. J. Castander, R. C. Nichol, A. Mazure, M. P. Ulmer, M. Postman, L. M. Lubin

    This paper presents the COP (CFHT optical PDCS; CFHT: Canada-France-Hawaii Telescope, PDCS: Palomar Distant Cluster Survey) survey data. We describe our photometric and spectroscopic observations with the multiobject spectrograph (MOS) at the CFHT. A comparison of the photometry from the PDCS catalogs and from the new images we have obtained at the CFHT shows that the different magnitude systems can be cross-calibrated. After identification between the PDCS catalogs and our new images, we built catalogs with redshift, coordinates, and VPDCS, IPDCS, and RCOP magnitudes. We have classified the galaxies along the lines of sight into field and structure galaxies using a gap technique from Katgert et al. In total we have observed 18 significant structures along the 10 lines of sight.


  • Open Access

    The CFH Optical PDCS survey (COP) I: The Data

    by C. Adami, B. Holden, F. J. Castander, R. C. Nichol, A. Mazure, M. P. Ulmer, M. Postman, L. Lubin

    This paper presents and gives the COP (COP: CFHT Optical PDCS; CFHT: Canada-France-Hawaii Telescope; PDCS: Palomar Distant Cluster Survey) survey data. We describe our photometric and spectroscopic observations with the MOS multi-slit spectrograph at the CFH telescope. A comparison of the photometry from the PDCS (Postman et al. 1996) catalogs and from the new images we have obtained at the CFH telescope shows that the different magnitude systems can be cross-calibrated. After identification between the PDCS catalogues and our new images, we built catalogues with redshift, coordinates and V, I and Rmagnitudes. We have classified the galaxies along the lines of sight into field and structure galaxies using a gap technique (Katgert et al. 1996). In total we have observed 18 significant structures along the 10 lines of sight.