%0 Generic %1 doux2020energy %A Doux, C. %A Baxter, E. %A Lemos, P. %A Chang, C. %A Alarcon, A. %A Amon, A. %A Campos, A. %A Choi, A. %A Gatti, M. %A Gruen, D. %A Jarvis, M. %A MacCrann, N. %A Park, Y. %A Prat, J. %A Rau, M. M. %A Raveri, M. %A Samuroff, S. %A DeRose, J. %A Hartley, W. G. %A Hoyle, B. %A Troxel, M. A. %A Zuntz, J. %A Abbott, T. M. C. %A Aguena, M. %A Allam, S. %A Annis, J. %A Avila, S. %A Bacon, D. %A Bertin, E. %A Bhargava, S. %A Brooks, D. %A Burke, D. L. %A Kind, M. Carrasco %A Carretero, J. %A Cawthon, R. %A Costanzi, M. %A da Costa, L. N. %A Pereira, M. E. S. %A Desai, S. %A Diehl, H. T. %A Dietrich, J. P. %A Doel, P. %A Everett, S. %A Ferrero, I. %A Fosalba, P. %A Frieman, J. %A García-Bellido, J. %A Gerdes, D. W. %A Giannantonio, T. %A Gruendl, R. A. %A Gschwend, J. %A Gutierrez, G. %A Hinton, S. R. %A Hollowood, D. L. %A Honscheid, K. %A Huff, E. M. %A Huterer, D. %A Jain, B. %A James, D. J. %A Krause, E. %A Kuehn, K. %A Kuropatkin, N. %A Lahav, O. %A Lidman, C. %A Lima, M. %A Maia, M. A. G. %A Menanteau, F. %A Miquel, R. %A Morgan, R. %A Muir, J. %A Ogando, R. L. C. %A Palmese, A. %A Paz-Chinchón, F. %A Plazas, A. A. %A Sanchez, E. %A Scarpine, V. %A Schubnell, M. %A Serrano, S. %A Sevilla-Noarbe, I. %A Smith, M. %A Suchyta, E. %A Swanson, M. E. C. %A Tarle, G. %A To, C. %A Tucker, D. L. %A Varga, T. N. %A Weller, J. %A Wilkinson, R. D. %D 2020 %K library %T Dark Energy Survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions %U http://arxiv.org/abs/2011.03410 %X Beyond-$Łambda$CDM physics or systematic errors may cause subsets of a cosmological data set to appear inconsistent when analyzed assuming $Łambda$CDM. We present an application of internal consistency tests to measurements from the Dark Energy Survey Year 1 (DES Y1) joint probes analysis. Our analysis relies on computing the posterior predictive distribution (PPD) for these data under the assumption of $Łambda$CDM. We find that the DES Y1 data have an acceptable goodness of fit to $Łambda$CDM, with a probability of finding a worse fit by random chance of $p = 0.046$. Using numerical PPD tests, supplemented by graphical checks, we show that most of the data vector appears completely consistent with expectations, although we observe a small tension between large- and small-scale measurements. A small part (roughly 1.5%) of the data vector shows an unusually large departure from expectations; excluding this part of the data has negligible impact on cosmological constraints, but does significantly improve the $p$-value to 0.10. The methodology developed here will be applied to test the consistency of DES Year 3 joint probes data sets.

@misc{doux2020energy, abstract = {Beyond-$\Lambda$CDM physics or systematic errors may cause subsets of a cosmological data set to appear inconsistent when analyzed assuming $\Lambda$CDM. We present an application of internal consistency tests to measurements from the Dark Energy Survey Year 1 (DES Y1) joint probes analysis. Our analysis relies on computing the posterior predictive distribution (PPD) for these data under the assumption of $\Lambda$CDM. We find that the DES Y1 data have an acceptable goodness of fit to $\Lambda$CDM, with a probability of finding a worse fit by random chance of ${p = 0.046}$. Using numerical PPD tests, supplemented by graphical checks, we show that most of the data vector appears completely consistent with expectations, although we observe a small tension between large- and small-scale measurements. A small part (roughly 1.5%) of the data vector shows an unusually large departure from expectations; excluding this part of the data has negligible impact on cosmological constraints, but does significantly improve the $p$-value to 0.10. The methodology developed here will be applied to test the consistency of DES Year 3 joint probes data sets.}, added-at = {2020-11-09T07:50:15.000+0100}, author = {Doux, C. and Baxter, E. and Lemos, P. and Chang, C. and Alarcon, A. and Amon, A. and Campos, A. and Choi, A. and Gatti, M. and Gruen, D. and Jarvis, M. and MacCrann, N. and Park, Y. and Prat, J. and Rau, M. M. and Raveri, M. and Samuroff, S. and DeRose, J. and Hartley, W. G. and Hoyle, B. and Troxel, M. A. and Zuntz, J. and Abbott, T. M. C. and Aguena, M. and Allam, S. and Annis, J. and Avila, S. and Bacon, D. and Bertin, E. and Bhargava, S. and Brooks, D. and Burke, D. L. and Kind, M. Carrasco and Carretero, J. and Cawthon, R. and Costanzi, M. and da Costa, L. N. and Pereira, M. E. S. and Desai, S. and Diehl, H. T. and Dietrich, J. P. and Doel, P. and Everett, S. and Ferrero, I. and Fosalba, P. and Frieman, J. and García-Bellido, J. and Gerdes, D. W. and Giannantonio, T. and Gruendl, R. A. and Gschwend, J. and Gutierrez, G. and Hinton, S. R. and Hollowood, D. L. and Honscheid, K. and Huff, E. M. and Huterer, D. and Jain, B. and James, D. J. and Krause, E. and Kuehn, K. and Kuropatkin, N. and Lahav, O. and Lidman, C. and Lima, M. and Maia, M. A. G. and Menanteau, F. and Miquel, R. and Morgan, R. and Muir, J. and Ogando, R. L. C. and Palmese, A. and Paz-Chinchón, F. and Plazas, A. A. and Sanchez, E. and Scarpine, V. and Schubnell, M. and Serrano, S. and Sevilla-Noarbe, I. and Smith, M. and Suchyta, E. and Swanson, M. E. C. and Tarle, G. and To, C. and Tucker, D. L. and Varga, T. N. and Weller, J. and Wilkinson, R. D.}, biburl = {https://www.bibsonomy.org/bibtex/23542f448640b27e243f1206eedf456d5/gpkulkarni}, description = {Dark Energy Survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions}, interhash = {726cf8830e0ae0d171c514b5df86fd80}, intrahash = {3542f448640b27e243f1206eedf456d5}, keywords = {library}, note = {cite arxiv:2011.03410}, timestamp = {2020-11-09T07:50:15.000+0100}, title = {Dark Energy Survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions}, url = {http://arxiv.org/abs/2011.03410}, year = 2020 }