{"publisher":"Oxford University Press","language":[{"iso":"eng"}],"page":"2730-2753","author":[{"last_name":"Abruzzo","full_name":"Abruzzo, Matthew W","first_name":"Matthew W"},{"full_name":"Haiman, Zoltán","id":"7c006e8c-cc0d-11ee-8322-cb904ef76f36","first_name":"Zoltán","last_name":"Haiman"}],"quality_controlled":"1","date_created":"2024-09-05T08:49:24Z","volume":486,"publication":"Monthly Notices of the Royal Astronomical Society","oa_version":"Published Version","publication_status":"published","type":"journal_article","status":"public","publication_identifier":{"issn":["0035-8711","1365-2966"]},"issue":"2","article_type":"original","intvolume":"       486","year":"2019","oa":1,"date_published":"2019-04-18T00:00:00Z","date_updated":"2024-09-10T12:49:04Z","month":"04","doi":"10.1093/mnras/stz1016","title":"The impact of photometric redshift errors on lensing statistics in ray-tracing simulations","citation":{"ista":"Abruzzo MW, Haiman Z. 2019. The impact of photometric redshift errors on lensing statistics in ray-tracing simulations. Monthly Notices of the Royal Astronomical Society. 486(2), 2730–2753.","chicago":"Abruzzo, Matthew W, and Zoltán Haiman. “The Impact of Photometric Redshift Errors on Lensing Statistics in Ray-Tracing Simulations.” <i>Monthly Notices of the Royal Astronomical Society</i>. Oxford University Press, 2019. <a href=\"https://doi.org/10.1093/mnras/stz1016\">https://doi.org/10.1093/mnras/stz1016</a>.","short":"M.W. Abruzzo, Z. Haiman, Monthly Notices of the Royal Astronomical Society 486 (2019) 2730–2753.","apa":"Abruzzo, M. W., &#38; Haiman, Z. (2019). The impact of photometric redshift errors on lensing statistics in ray-tracing simulations. <i>Monthly Notices of the Royal Astronomical Society</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/mnras/stz1016\">https://doi.org/10.1093/mnras/stz1016</a>","ama":"Abruzzo MW, Haiman Z. The impact of photometric redshift errors on lensing statistics in ray-tracing simulations. <i>Monthly Notices of the Royal Astronomical Society</i>. 2019;486(2):2730-2753. doi:<a href=\"https://doi.org/10.1093/mnras/stz1016\">10.1093/mnras/stz1016</a>","ieee":"M. W. Abruzzo and Z. Haiman, “The impact of photometric redshift errors on lensing statistics in ray-tracing simulations,” <i>Monthly Notices of the Royal Astronomical Society</i>, vol. 486, no. 2. Oxford University Press, pp. 2730–2753, 2019.","mla":"Abruzzo, Matthew W., and Zoltán Haiman. “The Impact of Photometric Redshift Errors on Lensing Statistics in Ray-Tracing Simulations.” <i>Monthly Notices of the Royal Astronomical Society</i>, vol. 486, no. 2, Oxford University Press, 2019, pp. 2730–53, doi:<a href=\"https://doi.org/10.1093/mnras/stz1016\">10.1093/mnras/stz1016</a>."},"_id":"17510","article_processing_charge":"No","day":"18","main_file_link":[{"url":"https://doi.org/10.1093/mnras/stz1016","open_access":"1"}],"abstract":[{"lang":"eng","text":"Weak lensing surveys are reaching sensitivities at which uncertainties in the galaxy redshift distributions n(z) from photo-z errors degrade cosmological constraints. We use ray-tracing simulations and a simple treatment of photo-z errors to assess cosmological parameter biases from uncertainties in n(z) in an LSST-like survey. We use lensing peak counts and the power spectrum to infer cosmological parameters, and find that the latter is somewhat more resilient to photo-z errors. We place conservative lower limits on the survey size at which different types of photo-z errors significantly degrade (${\\sim }50{{\\ \\rm per\\ cent}}$) ΛCDM (cold dark matter, wCDM) parameter constraints. A residual constant photo-z bias of |δz| &amp;lt; 0.003(1 + z), the current LSST requirement, does not significantly degrade surveys smaller than ≈1300 (≈490) deg2 using peaks and ≈6500 (≈4900) deg2 using the power spectrum. Surveys smaller than ≈920 (≈450) deg2 and ≈4600 (≈4000) deg2 avoid 25 per cent degradation. Adopting a recent prediction for LSST’s full photo-z probability distribution function (PDF), we find that simply approximating n(z) with the photo-z galaxy distribution computed from this PDF significantly degrades surveys as small as ≈60 (≈65) deg2 using peaks or the power spectrum. If the centroid bias in each tomographic bin is removed from the photo-z galaxy distribution, using peaks or the power spectrum still significantly degrades surveys larger than ≈200 (≈255) or ≈248 (≈315) deg2; 25 per cent degradations occur at survey sizes of ≈140 (≈180) deg2 or ≈165 (≈210) deg2. These results imply that the expected broad photo-z PDF significantly biases parameters, which must be further mitigated using more sophisticated photo-z treatments."}],"scopus_import":"1","extern":"1","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345"}