SFB 956

For more details on SFB 956 projects, click here.
Click the title to retrieve the paper ADS.

  1. Observational properties of simulated galaxies in overdense and average regions at redshifts z ≃ 6–12, Yajima, H., Shlosman, I., Romano-Díaz, E., Nagamine, Kentaro, 2015
  2. AGN-driven helium reionization and the incidence of extended He III regions at redshift z > 3, Compostella, M., Cantalupo, S., Porciani, C., 2014
  3. Atomic carbon as a powerful tracer of molecular gas in the high-redshift Universe: perspectives for ALMA, Tomassetti, M., Porciani, C., Romano-Diaz, E., Ludlow, A.D., Papadopoulos, P., 2014
  4. Simulating the H2 content of high-redshift galaxies, Tomassetti, M., Porciani, C., Romano-Diaz, E., Ludlow, A.D., 2014
  5. The imprint of inhomogeneous He II reionization on the H I and He II Lyα forest, Compostella, M., Cantalupo, S., Porciani, C., 2013
  6. Detection of Dark Galaxies and Circum-galactic Filaments Fluorescently Illuminated by the z = 2.4 Quasar HE0109-3518, Cantalupo, S., Haehnelt, M.G., Lilly, S.J., 2012
  7. Estimating gas accretion in disc galaxies using the Kennicutt-Schmidt law, Fraternali, F., Tomassetti, M., 2012
  8. Overdensities of Y-dropout Galaxies from the Brightest-of-Reionizing Galaxies Survey: A Candidate Protocluster at Redshift z ≈ 8, Trenti, M., Bradley, L.D., Stiavelli, M., Shull, J.M., Oesch, P., Bouwens, R.J., Munoz, J.A., Romano-Diaz, E., Treu, T., Shlosman, I., Carollo, C.M., 2012
  9. RADAMESH: cosmological radiative transfer for Adaptive Mesh Refinement, Cantalupo, S., Porciani, C., 2011
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TRR33

For more details on TRR33 projects, click here.
Click the title to retrieve the paper ADS.

  1. ZOMG I: How the cosmic web inhibits halo growth and generates assembly bias Borzyszkowski, Mikolaj; Porciani, Cristiano; Romano-Diaz, Emilio; Garaldi, Enrico, 2016
  2. Constrained simulations and excursion sets: understanding the risks and benefits of 'genetically modified' haloes Porciani, Cristiano, 2016
  3. Doppler term in the galaxy two-point correlation function: wide-angle, velocity, Doppler lensing and cosmic acceleration effects Raccanelli, Alvise; Bertacca, Daniele; Jeong, Donghui; Neyrinck, Mark C.; Szalay, Alexander S., 2016
  4. A relativistic signature in large-scale structure Bartolo, Nicola; Bertacca, Daniele; Bruni, Marco; Koyama, Kazuya; Maartens, Roy; Matarrese, Sabino; Sasaki, Misao; Verde, Licia; Wands, David, 2016
  5. Cosmological measurements with general relativistic galaxy correlations Raccanelli, Alvise; Montanari, Francesco; Bertacca, Daniele; Doré, Olivier; Durrer, Ruth, 2016
  6. The formation of cold dark matter haloes - II. Collapse time and tides Borzyszkowski, Mikolaj; Ludlow, Aaron D.; Porciani, Cristiano, 2014
  7. A new method to measure galaxy bias, Pollack, Jennifer E.; Smith, Robert E.; Porciani, Cristiano, 2013
  8. Can we really measure fNL from the galaxy power spectrum? Roth, Nina; Porciani, Cristiano, 2012
  9. Counts of galaxy clusters as cosmological probes: the impact of baryonic physics, Balaguera-Antolínez, Andrés; Porciani, Cristiano, 2012
  10. The formation of CDM haloes I: Collapse thresholds and the ellipsoidal collapse model Ludlow, Aaron D.; Borzyszkowski, Mikolaj; Porciani, Cristiano, 2011
  11. Collapse thresholds for the formation of CDM haloes in the ellipsoidal collapse model, Ludlow Aaron D.; Porciani, Cristiano, 2011
  12. The spatial and velocity bias of linear density peaks and proto-haloes in the LCDM cosmology, Elia, Anna; Ludlow, Aaron D.; Porciani C., 2011
  13. Modelling large-scale halo bias using the bispectrum, Pollack, Jennifer E.; Smith, Robert E.; Porciani, Cristiano, 2011
  14. The Density and Pseudo-Phase-Space Density Profiles of CDM halos, Ludlow, Aaron D.; Navarro, Julio F.; Boylan-Kolchin, Michael; Springel, Volker; Jenkins, Adrian; Frenk, Carlos S.; White, Simon D. M., 2011
  15. Testing standard perturbation theory and the Eulerian local biasing scheme against N-body simulations, Roth, Nina; Porciani, Cristiano, 2010
  16. Modeling the clustering of dark-matter haloes in resummed perturbation theories, Elia, Anna; Kulkarni, Suchita; Porciani, Cristiano; Pietroni, Massimo; Matarrese, Sabino, 2010
  17. The Peaks Formalism and the Formation of Cold Dark Matter Haloes, Ludlow, Aaron D.; Porciani, Cristiano, 2010
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Recent publications

Click the title to retrieve the paper ADS.

  1. ZOMG I: How the cosmic web inhibits halo growth and generates assembly bias Borzyszkowski, Mikolaj; Porciani, Cristiano; Romano-Diaz, Emilio; Garaldi, Enrico, 2016
  2. Constrained simulations and excursion sets: understanding the risks and benefits of 'genetically modified' haloes Porciani, Cristiano, 2016
  3. Doppler term in the galaxy two-point correlation function: wide-angle, velocity, Doppler lensing and cosmic acceleration effects Raccanelli, Alvise; Bertacca, Daniele; Jeong, Donghui; Neyrinck, Mark C.; Szalay, Alexander S., 2016
  4. A relativistic signature in large-scale structure Bartolo, Nicola; Bertacca, Daniele; Bruni, Marco; Koyama, Kazuya; Maartens, Roy; Matarrese, Sabino; Sasaki, Misao; Verde, Licia; Wands, David, 2016
  5. Cosmological measurements with general relativistic galaxy correlations Raccanelli, Alvise; Montanari, Francesco; Bertacca, Daniele; Doré, Olivier; Durrer, Ruth, 2016
  6. Zoomed high-resolution simulations of Multi-coupled Dark Energy: cored galaxy density profiles at high redshift, Garaldi, E.; Baldi, M.; Moscardini, L., 2015
  7. Probing the Isotropy of Cosmic Acceleration Traced By Type Ia Supernovae, Javanmardi, B.; Porciani, C.; Kroupa, P.; Pflamm-Altenburg, J., 2015
  8. Observational properties of simulated galaxies in overdense and average regions at redshifts z ≃ 6–12, Yajima, H., Shlosman, I., Romano-Díaz, E., Nagamine, Kentaro, 2015
  9. Future Constraints on Angle-Dependent Non-Gaussianity from Large Radio Surveys, Raccanelli, A.; Shiraishi, M.; Bartolo, N.; Bertacca, D.; Liguori, M.; Matarrese, S.; Norris, R. P.; Parkinson, D., 2015
  10. A relativistic signature in large-scale structure: Scale-dependent bias from single-field inflation, Bartolo, N.; Bertacca, D.; Bruni, M.; Koyama, K.; Maartens, R.; Matarrese, S.; Sasaki, Mi.; Verde, L.; Wands, D., 2015
  11. Cosmological Measurements with General Relativistic Galaxy Correlations, Raccanelli, A.; Montanari, F.; Bertacca, D.; Doré, O.; Durrer, R., 2015
  12. AGN-driven helium reionization and the incidence of extended He III regions at redshift z > 3, Compostella, M., Cantalupo, S., Porciani, C., 2014
  13. Atomic carbon as a powerful tracer of molecular gas in the high-redshift Universe: perspectives for ALMA, Tomassetti, M., Porciani, C., Romano-Diaz, E., Ludlow, A.D., Papadopoulos, P., 2014
  14. Simulating the H2 content of high-redshift galaxies, Tomassetti, M., Porciani, C., Romano-Diaz, E., Ludlow, A.D., 2014
  15. The formation of cold dark matter haloes - II. Collapse time and tides Borzyszkowski, Mikolaj; Ludlow, Aaron D.; Porciani, Cristiano, 2014
  16. A new method to measure galaxy bias, Pollack, Jennifer E.; Smith, Robert E.; Porciani, Cristiano, 2013
  17. The imprint of inhomogeneous He II reionization on the H I and He II Lyα forest, Compostella, M., Cantalupo, S., Porciani, C., 2013
  18. Can we really measure fNL from the galaxy power spectrum? Roth, Nina; Porciani, Cristiano, 2012
  19. Detection of Dark Galaxies and Circum-galactic Filaments Fluorescently Illuminated by the z = 2.4 Quasar HE0109-3518, Cantalupo, S., Haehnelt, M.G., Lilly, S.J., 2012
  20. Estimating gas accretion in disc galaxies using the Kennicutt-Schmidt law, Fraternali, F., Tomassetti, M., 2012
  21. Counts of galaxy clusters as cosmological probes: the impact of baryonic physics, Balaguera-Antolínez, Andrés; Porciani, Cristiano, 2012
  22. Overdensities of Y-dropout Galaxies from the Brightest-of-Reionizing Galaxies Survey: A Candidate Protocluster at Redshift z ≈ 8, Trenti, M., Bradley, L.D., Stiavelli, M., Shull, J.M., Oesch, P., Bouwens, R.J., Munoz, J.A., Romano-Diaz, E., Treu, T., Shlosman, I., Carollo, C.M., 2012
  23. RADAMESH: cosmological radiative transfer for Adaptive Mesh Refinement, Cantalupo, S., Porciani, C., 2011
  24. Collapse thresholds for the formation of CDM haloes in the ellipsoidal collapse model, Ludlow Aaron D.; Porciani, Cristiano, 2011
  25. The spatial and velocity bias of linear density peaks and proto-haloes in the LCDM cosmology, Elia, Anna; Ludlow, Aaron D.; Porciani C., 2011
  26. Modelling large-scale halo bias using the bispectrum, Pollack, Jennifer E.; Smith, Robert E.; Porciani, Cristiano, 2011
  27. Bayesian inference from photometric redshift surveys, Jasche, Jens; Wandelt, Benjamin D., 2011
  28. The Dark Side of QSO Formation at High Redshifts, Romano-Diaz, Emilio; Shlosman, Isaac; Trenti, Mechele; Hoffman, Yehuda, 2011
  29. Galaxy Formation in Heavily Overdense Regions at z ~ 10: The Prevalence of Disks in Massive Halos, Romano-Diaz, Emilio; Choi, Jun-Hwan; Shlosman, Isaac; Trenti, Michele, 2011
  30. The Density and Pseudo-Phase-Space Density Profiles of CDM halos, Ludlow, Aaron D.; Navarro, Julio F.; Boylan-Kolchin, Michael; Springel, Volker; Jenkins, Adrian; Frenk, Carlos S.; White, Simon D. M., 2011
  31. Dissecting Galaxy Formation. II. Comparing Substructure in Pure Dark Matter and Baryonic Models, Romano-Diaz, Emilio; Shlosman, Isaac; Heller, Clayton; Hoffman, Yehuda, 2010
  32. Testing standard perturbation theory and the Eulerian local biasing scheme against N-body simulations, Roth, Nina; Porciani, Cristiano, 2010
  33. Modeling the clustering of dark-matter haloes in resummed perturbation theories, Elia, Anna; Kulkarni, Suchita; Porciani, Cristiano; Pietroni, Massimo; Matarrese, Sabino, 2010
  34. The Peaks Formalism and the Formation of Cold Dark Matter Haloes, Ludlow, Aaron D.; Porciani, Cristiano, 2010
  35. Assembly History and Structure of Galactic Cold Dark Matter Halos, Wang, Jie; Navarro, J. F.; Frenk, C. S.; White, S. D. M.; Springel, V.; Jenkins, A.; Helmi, A.; Ludlow, A.; Vogelsberger, M, 2010
  36. Bayesian non-linear large-scale structure inference of the Sloan Digital Sky Survey Data Release 7, Jasche, Jens; Kitaura, Francisco S.; Li, Cheng; Enßlin, Torsten A.
  37. Fast Hamiltonian sampling for large-scale structure inference, Jasche, Jens; Kitaura, Francisco S., 2010
  38. The REFLEX II galaxy cluster survey: power spectrum analysis, Balaguera-Antolinez, A.; Sanchez, Ariel G.; Böhringer, H.; Collins, C.; Guzzo, L.; Phleps, S., 2010
  39. Bayesian power-spectrum inference for large-scale structure data, Jasche, Jens; Kitaura, Francisco S.; Wandelt, Benjamin D.; Enßlin, Torsten A., 2010
  40. Recovering the non-linear density field from the galaxy distribution with a Poisson-lognormal filter, Kitaura, Francisco-Shu; Jasche, Jens; Metcalf, R. Benton, 2010
  41. RADAMESH: Cosmological Radiative Transfer for Adaptive Mesh Refinement Simulations, Cantalupo, Sebastiano; Porciani, Cristiano, 2010
  42. Secondary infall and the pseudo-phase-space density profiles of cold dark matter haloes, Ludlow, Aaron D.; Navarro, Julio F.; Springel, Volker; Vogelsberger, Mark; Wang, Jie; White, Simon D. M.; Jenkins, Adrian; Frenk, Carlos S, 2010
  43. Halo mass function and scale-dependent bias from N-body simulations with non-Gaussian initial conditions,Pillepich, Annalisa; Porciani, Cristiano; Hahn, Oliver, 2010
  44. Structure formation from non-Gaussian initial conditions: Multivariate biasing, statistics, and comparison with N-body simulations, Giannantonio, Tommaso; Porciani, Cristiano, 2009
  45. Lagrangian Statistics of Dark Halos in a ΛCDM Cosmology, Lee, Jounghun; Hahn, Oliver; Porciani, Cristiano, 2009
  46. The Anisotropic Two-Point Correlation Functions of the Nonlinear Traceless Tidal Field in the Principal-Axis Frame, Lee, Jounghun; Hahn, Oliver; Porciani, Cristiano, 2009
  47. Tidal effects and the environment dependence of halo assembly, Hahn, Oliver; Porciani, Cristiano; Dekel, Avishai; Carollo, C. Marcella, 2009
  48. The real-space clustering of luminous red galaxies around z < 0.6 quasars in the Sloan Digital Sky Survey, Padmanabhan, Nikhil; White, Martin; Norberg, Peder; Porciani, Cristiano, 2009
  49. Environments of the zCOSMOS galaxies, Kovac, Katarina; Lilly, S.; Porciani, C.; Cucciati, O.; Tasca, L.; Bolzonella, M.; Knobel, C.; Iovino, A., 2009
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