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vide_public / Papers Using VIDE

List of papers based on VIDE (39 papers)


  • Machine learning cosmology from void properties Wang B. Y., Pisani A., Villaescusa- Navarro F. , Wandelt B. D. submitted to ApJ arXiv: 2212.068603

  • Cosmological constraints from the BOSS DR12 void size function Contarini S., Pisani A., Hamaus N., Marulli F. ; Moscardini L. ; Baldi M. ApJ arXiv: 2212.03873

  • Euclid : Cosmological forecasts from the void size function Contarini S., Verza G., Pisani A., Hamaus N., Sahlèn M., Carbone C., et al. Astronomy & Astrophysics Volume 667, id.A162, 20 pp. arXiv: 2205.11525

  • The High Latitude Spectroscopic Survey on the Nancy Grace Roman Space Telescope Wang Y., Zhai Z., Alavi A., Massara E., Pisani A., Hirata C. M., Samushia L., et al., ApJ, arXiv: 2110.01829

  • Euclid : Forecasts from redshift-space distortions and the Alcock-Paczynski test with cosmic voids Hamaus N., Aubert M. Pisani A., Contarini S., Verza G. et al. Astronomy & Astrophysics 658, A20 (2022), arXiv: 2108.10347

  • The GIGANTES dataset : precision cosmology from voids in the machine learning era Kreisch C. D., Pisani A., Villaescusa-Navarro F., Spergel D. N., Wandelt B. D., Hamaus N. and Bayer A.ApJ Volume 935, Issue 2, id.100, 19 pp., arXiv: 2107.0230

  • How do galaxy properties affect void statistics ? Panchal R., Pisani A., Spergel D. N. ApJ, Volume 901, Number 1 (2020) arXiv: 2009.14751

  • Volume Statistics as a Probe of Large-Scale Structure, K. C. Chan, N. Hamaus, October 2020, arXiv: 2010.13955

  • How do galaxy properties affect void statistics?, Panchal R., Pisani A., Spergel D. N., ApJ, Volume 901, Number 1 (2020), arXiv: 2009.14751.

  • Precision cosmology with voids in the final BOSS data, Hamaus N., Pisani A., Choi J.-A., Lavaux G., Wandelt B. D., Weller J., JCAP 12(2020)023, arXiv: 2007.07895.

  • Properties of galaxies and supermassive black holes in cosmic voids, Habouzit M., Pisani A., Goulding A., Dubois J., Somerville R. S., Greene J. E., Monthly Notices of the Royal Astronomical Society, Volume 493, Issue 1, March 2020, Pages 899–921 arXiv: 1912.06662.

  • Dark Energy Survey Year 1 Results: the lensing imprint of cosmic voids on the Cosmic Microwave Background, P. Vielzeuf, A. Kovács, U. Demirbozan, P. Fosalba, E. Baxter, N. Hamaus, D. Huterer et al. (The DES collaboration), Mon. Not. R. Astron. Soc., 500:464-480, January 2021, arXiv: 1911.02951.

  • The void halo mass function: a promising probe of neutrino mass, Zhang G., Li Z., Liu J., Spergel D., Kreisch C. D., Pisani A., Wandelt B. D. , Phys. Rev. D 102, 083537 (2020), arXiv: 1910.07553.

  • Measurement of Void Bias using Separate Universe Simulations, K. C. Chan, Y. Li, M. Biagetti, N. Hamaus, Astrophys. J., 889:89, January 2020, arXiv: 1909.03736.

  • Dark Energy Survey Year 1 results: the relationship between mass and light around cosmic voids, Y. Fang, N. Hamaus, B. Jain, S. Pandey, G. Pollina, C. Sánchez, A. Kovács, C. Chang et al. (The DES collaboration), Mon. Not. R. Astron. Soc., 490:3573-3587, December 2019, arXiv: 1909.01386.

  • Constraints on the growth of structure around cosmic voids in eBOSS DR14, A. J. Hawken, M. Aubert, A. Pisani, M.-C. Cousinou, S. Escoffier, S. Nadathur, G. Rossi, D. P. Schneider, JCAP, Issue 06, article id. 012 (2020), arXiv: 1909.04394.

  • The Void Size Function in Dynamical Dark Energy Cosmologies, G. Verza, A. Pisani, C. Carbone, N. Hamaus, G. Guzzo, JCAP, Issue 12, article id. 040 (2019), arXiv: 1906.00409.

  • The bias of cosmic voids in the presence of massive neutrinos, N. Schuster, N. Hamaus, A. Pisani, C. Carbone, C. D. Kreisch, G. Pollina, J. Weller, JCAP, Issue 12, article id. 055 (2019), arXiv: 1905.00436.

  • Constraint of Void Bias on Primordial non-Gaussianity, K. C. Chan, N. Hamaus, M. Biagetti, Phys. Rev. D, 99:121304, June 2019, arXiv: 1812.04024.

  • Massive Neutrinos Leave Fingerprints on Cosmic Voids, C. D. Kreisch, Alice Pisani, C. Carbone, J. Liu, A.-J. Hawken, E. Massara, D. N. Spergel and B. D. Wandelt, Monthly Notices of the Royal Astronomical Society, Volume 488, Issue 3, p.4413-4426 arXiv: 1808.07464.

  • On the relative bias of void tracers in the Dark Energy Survey, G. Pollina, N. Hamaus, K. Paech, K. Dolag, J. Weller, C. Sánchez, E. S. Rykoff, B. Jain et al. (The DES collaboration), Mon. Not. R. Astron. Soc., 487:2836–2852, August 2019, arXiv: 1806.06860.

  • Multivariate analysis of cosmic void characteristics, M.-C. Cousinou, Alice Pisani, A. Tilquin, N. Hamaus, A.-J. Hawken, and S. Escoffier, Astronomy and Computing, Volume 27, article id. 53 arXiv: 1805.07181.

  • Multipole analysis of redshift-space distortions around cosmic voids, Nico Hamaus, M.-C. Cousinou, Alice Pisani, M. Aubert, S. Escoffier and J. Weller, accepted by Journal of Cosmology and Astroparticle Physics: JCAP07 (2017)014, arXiv: 1705.05328.

  • On the linearity of tracer bias around voids, G. Pollina, N. Hamaus, K. Dolag, J. Weller, M. Baldi, and L. Moscardini, Mon. Not. R. Astron. Soc., 469:787–799, July 2017, arXiv: 1610.06176.

  • Constraints on Cosmology and Gravity from the Dynamics of Voids, Hamaus N., Pisani A., Sutter, P. M., Lavaux G., Escoffier S., Wandelt B. D., and Weller J. , accepted by Physical Review Letters: Phys. Rev. Lett. 117, 091302 arXiv: 1602.01784.

  • Probing cosmology and gravity with redshift-space distortions around voids, N. Hamaus, P. M. Sutter, G. Lavaux, and B. D. Wandelt, J. Cosmol. Astropart. Phys., 11:36, November 2015, arXiv: 1507.04363.

  • Mastering the effects of peculiar velocities on voids, Pisani A., Sutter, P. M., and Wandelt, B. D. , submitted to Monthly Notices of the Royal Astronomical Society, arXiv: 1506.07982.

  • Counting voids to probe dark energy, Pisani A., Sutter, P. M., Hamaus N. Alizadeh E., Biswas R., Wandelt, B. D. and Hirata C. D., accepted by Physical Review D: Phys. Rev. D 92, 083531, arXiv: 1503.07690.

  • Dark matter voids in the SDSS galaxy survey, F. Leclercq, J. Jasche, P. M. Sutter, N. Hamaus, and B. D. Wandelt, J. Cosmol. Astropart. Phys., 3:47, March 2015, arXiv: 1410.0355.

  • Large-scale clustering of cosmic voids, K. C. Chan, N. Hamaus, and V. Desjacques, Phys. Rev. D, 90(10):103521, November 2014, arXiv: 1409.3849.

  • Testing cosmic geometry without dynamic distortions using voids, N. Hamaus, P. M. Sutter, G. Lavaux, and B. D. Wandelt, J. Cosmol. Astropart. Phys., 12:13, December 2014, arXiv: 1409.3580.

  • VIDE: The Void IDentification and Examination toolkit, Sutter, P. M., Lavaux G., Hamaus N., Pisani A., Wandelt B. D. et al., Astronomy & Computing (Elsevier, 2015, 9, 1-9;arXiv:1406.1191).

  • A measurement of the Alcock-Paczynski test using cosmic voids in the SDSS, Sutter, P., Pisani, A., Wandelt, B. D. and Weinberg D.H., Monthly Notices of the Royal Astronomical Society (MNRAS, Volume 443, Issue 4, p. 2983—2990; arXiv: 1404.5618).

  • The life and death of cosmic voids, P. M. Sutter, P. Elahi, B. Falck, J. Onions, N. Hamaus, A. Knebe, C. Srisawat, and A. Schneider, Mon. Not. R. Astron. Soc., 445:1235–1244, December 2014, arXiv: 1403.7525.

  • Universal Density Profile for Cosmic Voids, N. Hamaus, P. M. Sutter, and B. D. Wandelt, Phys. Rev. Lett., 112:251302, June 2014, arXiv: 1403.5499.

  • Voids in the SDSS DR9: observations, simulations, and the impact of the survey mask, Sutter, P. M., Lavaux, G., Wandelt, B. D., Weinberg D. H., Warren M. S. and Pisani, A., Monthly Notices of the Royal Astronomical Society (MNRAS, Volume 442, Issue 4, p.3127-3137; arXiv: 1310.7155).

  • Sparse sampling, galaxy bias, and voids, P. M. Sutter, G. Lavaux, N. Hamaus, B. D. Wandelt, D. H. Weinberg, and M. S. Warren, Mon. Not. R. Astron. Soc., 442:462–471, July 2014, arXiv: 1309.5087.

  • Cosmology with Void-Galaxy Correlations, N. Hamaus, B. D. Wandelt, P. M. Sutter, G. Lavaux, and M. S. Warren, Phys. Rev. Lett., 112:041304, January 2014, arXiv: 1307.2571.

  • Real-space density profile reconstruction of stacked voids, Pisani A., Lavaux, G., Sutter, P. M., and Wandelt, B. D., Monthly Notices of the Royal Astronomical Society (MNRAS, Volume 443, p. 3238-3250, October 2014a; arXiv: 1306.3052).

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