Dark Energy Survey Year 3 results: Measurement of the baryon acoustic oscillations with three-dimensional clustering
- Creators
- Chan K. C.
- Avila S.
- Carnero Rosell A.
- Ferrero I.
- Elvin-Poole J.
- Sanchez E.
- Camacho H.
- Porredon A.
- Crocce M.
- Abbott T. M. C.
- Aguena M.
- Allam S.
- Andrade-Oliveira F.
- Bertin E.
- Bocquet S.
- Brooks D.
- Burke D. L.
- Carrasco Kind M.
- Carretero J.
- Castander F. J.
- Cawthon R.
- Conselice C.
- Costanzi M.
- Pereira M. E. S.
- De Vicente J.
- Desai S.
- Diehl H. T.
- Doel P.
- Everett S.
- Flaugher B.
- Fosalba P.
- Garcia-Bellido J.
- Gaztanaga E.
- Gerdes D. W.
- Giannantonio T.
- Gruen D.
- Gruendl R. A.
- Gutierrez G.
- Hinton S. R.
- Hollowood D. L.
- Honscheid K.
- Huterer D.
- James D. J.
- Kuehn K.
- Lahav O.
- Lidman C.
- Lima M.
- Marshall J. L.
- Mena-Fernandez J.
- Menanteau F.
- Miquel R.
- Palmese A.
- Paz-Chinchon F.
- Pieres A.
- Plazas Malagon A. A.
- Raveri M.
- Rodriguez-Monroy M.
- Roodman A.
- Ross A. J.
- Scarpine V.
- Sevilla-Noarbe I.
- Smith M.
- Suchyta E.
- Swanson M. E. C.
- Tarle G.
- Thomas D.
- Tucker D. L.
- Vincenzi M.
- Weaverdyck N.
- Others:
- Chan, K. C.
- Avila, S.
- Carnero Rosell, A.
- Ferrero, I.
- Elvin-Poole, J.
- Sanchez, E.
- Camacho, H.
- Porredon, A.
- Crocce, M.
- Abbott, T. M. C.
- Aguena, M.
- Allam, S.
- Andrade-Oliveira, F.
- Bertin, E.
- Bocquet, S.
- Brooks, D.
- Burke, D. L.
- Carrasco Kind, M.
- Carretero, J.
- Castander, F. J.
- Cawthon, R.
- Conselice, C.
- Costanzi, M.
- Pereira, M. E. S.
- De Vicente, J.
- Desai, S.
- Diehl, H. T.
- Doel, P.
- Everett, S.
- Flaugher, B.
- Fosalba, P.
- Garcia-Bellido, J.
- Gaztanaga, E.
- Gerdes, D. W.
- Giannantonio, T.
- Gruen, D.
- Gruendl, R. A.
- Gutierrez, G.
- Hinton, S. R.
- Hollowood, D. L.
- Honscheid, K.
- Huterer, D.
- James, D. J.
- Kuehn, K.
- Lahav, O.
- Lidman, C.
- Lima, M.
- Marshall, J. L.
- Mena-Fernandez, J.
- Menanteau, F.
- Miquel, R.
- Palmese, A.
- Paz-Chinchon, F.
- Pieres, A.
- Plazas Malagon, A. A.
- Raveri, M.
- Rodriguez-Monroy, M.
- Roodman, A.
- Ross, A. J.
- Scarpine, V.
- Sevilla-Noarbe, I.
- Smith, M.
- Suchyta, E.
- Swanson, M. E. C.
- Tarle, G.
- Thomas, D.
- Tucker, D. L.
- Vincenzi, M.
- Weaverdyck, N.
Description
The three-dimensional correlation function offers an effective way to summarize the correlation of the large-scale structure even for imaging galaxy surveys. We have applied the projected three-dimensional correlation function, ζp to measure the baryonic acoustic oscillations (BAO) scale on the first-three years Dark Energy Survey data. The sample consists of about 7 million galaxies in the redshift range 0.6<1.1 over a footprint of 4108 deg2. Our theory modeling includes the impact of realistic true redshift distributions beyond Gaussian photo-z approximation. ζp is obtained by projecting the three-dimensional correlation to the transverse direction. To increase the signal-to-noise of the measurements, we have considered a Gaussian stacking window function in place of the commonly used top-hat. ζp is sensitive to DM(zeff)/rs, the ratio between the comoving angular diameter distance and the sound horizon. Using the full sample, DM(zeff)/rs is constrained to be 19.00±0.67 (top-hat) and 19.15±0.58 (Gaussian) at zeff=0.835. The constraint is weaker than the angular correlation w constraint (18.84±0.50), and we trace this to the fact that the BAO signals are heterogeneous across redshift. While ζp responds to the heterogeneous signals by enlarging the error bar, w can still give a tight bound on DM/rs in this case. When a homogeneous BAO-signal subsample in the range 0.7<1.0 (zeff=0.845) is considered, ζp yields 19.80±0.67 (top-hat) and 19.84±0.53 (Gaussian). The latter is mildly stronger than the w constraint (19.86±0.55). We find that the ζp results are more sensitive to photo-z errors than w because ζp keeps the three-dimensional clustering information causing it to be more prone to photo-z noise. The Gaussian window gives more robust results than the top-hat as the former is designed to suppress the low signal modes. ζp and the angular statistics such as w have their own pros and cons, and they serve an important crosscheck with each other.
Additional details
- URL
- https://hdl.handle.net/11567/1104534
- URN
- urn:oai:iris.unige.it:11567/1104534
- Origin repository
- UNIGE