Author: "D Sanchez" - Searchworks@Jio Institute Digital Library Search Results

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1. Higher burden of cardiometabolic and socioeconomic risk factors in women with type 2 diabetes: an analysis of the Glycemic Reduction Approaches in Diabetes (GRADE) baseline cohort

Author: C Wright, C Sanders, C Wilson, L Tucker, S Jones, S Douglass, C Patel, A Kumar, S Smith, A Ghosh, C Adams, R Hill, D Martin, J Hu, M Lee, N Patel, O Smith, J Cook, J Day, M Jackson, G Riera, P McGee, J Park, J Jiménez, S Yang, A Carlson, C Martin, H Liu, Y Li, A Krol, K Wright, S Golden, A Sood, J Martinez, D Sanchez, K Burton, Y Gao, S Martin, O Sanchez, C DeSouza, M Johnson, L Estrada, A Jackson, J Higgins, K Martin, J Craig, A Kuhn, L Ngo, Deborah J Wexler, R Chatterjee, E Walker, J Kerr, W Taylor, J Lim, M Perez, R Henry, Vanita R Aroda, R Fraser, Cyrus Desouza, E King, C Campbell, J González, E Diaz, P Zhang, J Marks, S Abraham, A Ross, M Khalid, T Young, J Myers, J Barzilay, B Chambers, G Montes, C Jensen, J McConnell, R Nelson, L Prosser, S Morton, M Curtis, P Wilson, L Young, M Fürst, S Warren, C Newman, S Kuo, N Rasouli, A Werner, L Morton, A Ghazi, M Salam, F Ismail-Beigi, P Kringas, C Baker, E Ellis, A Cherian, L Holloway, M Madden, B Hollis, G Fuller, B Steiner, K Stokes, R Ayala, T Lowe, K Chu, S Durán, D Dyer, A Alfred, J Leger, Nicole M Butera, T Hamilton, J Costello, E Burgess, R Garg, A Maxwell, C Stevens, W Ye, T Tran, L Fischer, M Hurtado, H Schneier, C Lund, R Lorch, M Mullen, J Bantle, K Arnold, D Wexler, A TURCHIN, MS Lee, D Howard, J Tejada, S Hernandez, Tasma Harindhanavudhi, E Schroeder, K Pham, S Kunkel, A Fagan, G Lord, H CHONG, A Smiley, E Debnam, H Petrovitch, M Bäckman, B Kauffman, V Jenkins, B Cramer, JP Crandall, MD McKee, S Behringer-Massera, J Brown-Friday, E Xhori, K Ballentine-Cargill, H Estrella, S Gonzalez de la torre, J Lukin, LS Phillips, D Olson, M Rhee, TS Raines, J Boers, C Gullett, M Maher-Albertelli, R Mungara, L Savoye, CA White, F Morehead, S Person, M Sibymon, S Tanukonda, A Balasubramanyam, R Gaba, P Hollander, E Roe, P Burt, K Chionh, C Falck-Ytter, L Sayyed Kassem, M Tiktin, T Kulow, KA Stancil, J Iacoboni, MV Kononets, L Colosimo, R Goland, J Pring, L Alfano, C Hausheer, K Gumpel, A Kirpitch, JB Green, H AbouAssi, MN Feinglos, J English Jones, RP Zimmer, BM Satterwhite, K Evans Kreider, CR Thacker, CN Mariash, KJ Mather, A Lteif, V Pirics, D Aguillar, S Hurt, R Bergenstal, T Martens, J Hyatt, H Willis, W Konerza, K Kleeberger, R Passi, S Fortmann, M Herson, K Mularski, H Glauber, J Prihoda, B Ash, C Carlson, PA Ramey, E Schield, B Torgrimson-Ojerio, E Panos, S Sahnow, K Bays, K Berame, D Ghioni, J Gluth, K Schell, J Criscola, C Friason, S Nazarov, N Rassouli, R Puttnam, B Ojoawo, C Sanders-Jones, Z El-Haqq, A Kolli, J Meigs, A Dushkin, G Rocchio, M Yepes, H Dulin, M Cayford, A DeManbey, M Hillard, N Thangthaeng, L Gurry, R Kochis, E Raymond, V Ripley, V Aroda, A Loveland, M Hamm, HJ Florez, WM Valencia, S Casula, L Oropesa-Gonzalez, L Hue, AK Riccio Veliz, R Nieto-Martinez, M Gutt, A Ahmann, D Aby-Daniel, F Joarder, V Morimoto, C Sprague, D Yamashita, N Cady, N Rivera-Eschright, P Kirchhoff, B Morales Gomez, J Adducci, A Goncharova, SH Hox, M Matwichyna, NO Bermudez, L Broadwater, RR Ishii, DS Hsia, WT Cefalu, FL Greenway, C Waguespack, N Haynes, A Thomassie, B Bourgeois, C Hazlett, S Mudaliar, S Boeder, J Pettus, D Garcia-Acosta, S Maggs, C DeLue, E Castro, J Krakoff, JM Curtis, T Killean, E Joshevama, K Tsingine, T Karshner, J Albu, FX Pi-Sunyer, S Frances, C Maggio, J Bastawrose, X Gong, MA Banerji, D Lorber, NM Brown, DH Josephson, LL Thomas, M Tsovian, MH Jacobson, MM Mishko, MS Kirkman, JB Buse, J Dostou, K Bergamo, A Goley, JF Largay, S Guarda, J Cuffee, D Culmer, H Almeida, S Coffer, L Kiker, K Josey, WT Garvey, A Agne, S McCullars, RM Cohen, MC Rogge, K Kersey, S Lipp, MB Vonder Meulen, C Underkofler, S Steiner, E Cline, WH Herman, R Pop-Busui, MH Tan, A Waltje, A Katona, L Goodhall, R Eggleston, K Whitley, S Bule, N Kessler, E LaSalle, ER Seaquist, A Bantle, T Harindhanavudhi, B Redmon, M Coe, M Mech, A Taddese, L Lesne, L Kuechenmeister, V Shivaswamy, AL Morales, K Seipel, J Eggert, R Tillson, DS Schade, A Adolphe, M Burge, E Duran-Valdez, P August, MG Rodriguez, O Griffith, A Naik, Barbara I Gulanski, Heidi Krause-Steinrauf, Judith H Lichtman, Jennifer B Green, Colleen E Suratt, Hiba AbouAssi, Andrew J Ahmann, E Gonzalez Hattery, A Ideozu, G McPhee, SA Khan, JB Kimpel, HM Ismail, ME Larkin, M Magee, A Ressing, L Manandhar, F Mwicigi, V Lagari-Libhaber, A Cuadot, YJ Kendal, B Veciana, G Fry, A Dragg, B Gildersleeve, J Arceneaux, M Pavlionis, A Stallings, S Machineni, AL Cherrington, MCR Lawson, C Adkins, T Onadeko, M Razzaghi, C Lyon, R Penaloza, WI Sivitz, LK Knosp, S Bojescu, S Burbach, A Bancroft, FA Jamaleddin Ahmad, D Hernandez McGinnis, B Pucchetti, E Scripsick, A Zamorano, RA DeFronzo, E Cersosimo, M Abdul-Ghani, C Triplitt, D Juarez, RI Garza, H Verastiqui, C Puckett, P Raskin, C Rhee, LF Jordan, S Sao, L Osornio Walker, L Schnurr-Breen, RB Kreymer, D Sturgess, KM Utzschneider, SE Kahn, L Alarcon-Casas Wright, EJ Boyko, EC Tsai, DL Trence, S Trikudanathan, BN Fattaleh, BK Montgomery, KM Atkinson, A Kozedub, T Concepcion, C Moak, N Prikhodko, S Rhothisen, TA Elasy, L Shackelford, R Goidel, N Hinkle, C Lovell, J Lipps Hogan, JB McGill, T Schweiger, S Kissel, C Recklein, MJ Clifton, W Tamborlane, A Camp, B Gulanski, SE Inzucchi, M Alguard, P Gatcomb, K Lessard, L Iannone, A Montosa, E Magenheimer, J Fradkin, HB Burch, AA Bremer, DM Nathan, JM Lachin, H Krause-Steinrauf, N Younes, I Bebu, N Butera, CJ Buys, MR Gramzinski, SD Hall, E Kazemi, E Legowski, C Suratt, M Tripputi, A Arey, J Bethepu, P Mangat Dhaliwal, E Mesimer, M Steffes, J Seegmiller, A Saenger, V Arends, D Gabrielson, T Conner, J Huminik, A Scrymgeour, EZ Soliman, Y Pokharel, ZM Zhang, L Keasler, S Hensley, R Mihalcea, DJ Min, V Perez-Rosas, K Resnicow, H Shao, J Luchsinger, S Assuras, E Groessl, F Sakha, N Hillery, BM Everett, I Abdouch, G Bahtiyar, P Brantley, FE Broyles, G Canaris, P Copeland, JJ Craine, WL Fein, A Gliwa, L Hope, R Meiners, V Meiners, H O’Neal, JE Park, A Sacerdote, E Sledge, L Soni, J Steppel-Reznik, B Brooks-Worrell, CS Hampe, JP Palmer, A Shojaie, L Doner Lotenberg, JM Gallivan, and DM Tuncer
Subjects: Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract: Introduction Type 2 diabetes mellitus (T2DM) is a powerful risk factor for cardiovascular disease (CVD), conferring a greater relative risk in women than men. We sought to examine sex differences in cardiometabolic risk factors and management in the contemporary cohort represented by the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE).Research design and methods GRADE enrolled 5047 participants (1837 women, 3210 men) with T2DM on metformin monotherapy at baseline. The current report is a cross-sectional analysis of baseline data collected July 2013 to August 2017.Results Compared with men, women had a higher mean body mass index (BMI), greater prevalence of severe obesity (BMI≥40 kg/m2), higher mean LDL cholesterol, greater prevalence of low HDL cholesterol, and were less likely to receive statin treatment and achieve target LDL, with a generally greater prevalence of these risk factors in younger women. Women with hypertension were equally likely to achieve blood pressure targets as men; however, women were less likely to receive ACE inhibitors or angiotensin receptor blockers. Women were more likely to be divorced, separated or widowed, and had fewer years of education and lower incomes.Conclusions This contemporary cohort demonstrates that women with T2DM continue to have a greater burden of cardiometabolic and socioeconomic risk factors than men, particularly younger women. Attention to these persisting disparities is needed to reduce the burden of CVD in women.Trial registration number ClinicalTrials.gov (NCT01794143)
Published: 2023
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2. Discovering Strong Gravitational Lenses in the Dark Energy Survey with Interactive Machine Learning and Crowd-sourced Inspection with Space Warps

Author: González, J., Holloway, P., Collett, T., Verma, A., Bechtol, K., Marshall, P., More, A., Barroso, J. Acevedo, Cartwright, G., Martinez, M., Li, T., Rojas, K., Schuldt, S., Birrer, S., Diehl, H. T., Morgan, R., Drlica-Wagner, A., O'Donnell, J. H., Zaborowski, E., Nord, B., Baeten, E. M., Johnson, L. C., Macmillan, C., Roodman, A., Pieres, A., Walker, A. R., Malagón, A. A. Plazas, Rosell, A. Carnero, Santiago, B., Flaugher, B., Gruen, D., Brooks, D., Burke, D. L., James, D. J., Cid, D. Sanchez, Hollowood, D. L., Tucker, D. L., Buckley-Geer, E., Gaztanaga, E., Suchyta, E., Sanchez, E., Gutierrez, G., Giannini, G., Tarle, G., Sevilla-Noarbe, I., Marshall, J. L., Carretero, J., Frieman, J., De Vicente, J., García-Bellido, J., Mena-Fernández, J., Myles, J., Honscheid, K., Kuehn, K., Lima, M., Pereira, M. E. S., Smith, M., Aguena, M., Weaverdyck, N., Lahav, O., Doel, P., Miquel, R., Gruendl, R. A., Cawthon, R., Hinton, S. R., Allam, S. S., Desai, S., Samuroff, S., Everett, S., Lee, S., Davis, T. M., Abbott, T. M. C., and Vikram, V.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We conduct a search for strong gravitational lenses in the Dark Energy Survey (DES) Year 6 imaging data. We implement a pre-trained Vision Transformer (ViT) for our machine learning (ML) architecture and adopt Interactive Machine Learning to construct a training sample with multiple classes to address common types of false positives. Our ML model reduces 236 million DES cutout images to 22,564 targets of interest, including around 85% of previously reported galaxy-galaxy lens candidates discovered in DES. These targets were visually inspected by citizen scientists, who ruled out approximately 90% as false positives. Of the remaining 2,618 candidates, 149 were expert-classified as 'definite' lenses and 516 as 'probable' lenses, with 147 of these candidates being newly identified. Additionally, we trained a second ViT to find double-source plane lens systems, finding at least one double-source system. Our main ViT excels at identifying galaxy-galaxy lenses, consistently assigning high scores to candidates with high confidence. The top 800 ViT-scored images include around 100 of our `definite' lens candidates. This selection is an order of magnitude higher in purity than previous convolutional neural network-based lens searches and demonstrates the feasibility of applying our methodology for discovering large samples of lenses in future surveys.
Published: 2025

3. High-Significance Detection of Correlation Between the Unresolved Gamma-Ray Background and the Large Scale Cosmic Structure

Author: Thakore, B., Negro, M., Regis, M., Camera, S., Gruen, D., Fornengo, N., Roodman, A., Porredon, A., Schutt, T., Cuoco, A., Alarcon, A., Amon, A., Bechtol, K., Becker, M. R., Bernstein, G. M., Campos, A., Rosell, A. Carnero, Kind, M. Carrasco, Cawthon, R., Chang, C., Chen, R., Choi, A., Cordero, J., Davis, C., DeRose, J., Diehl, H. T., Dodelson, S., Doux, C., Drlica-Wagner, A., Eckert, K., Elvin-Poole, J., Everett, S., Ferté, A., Gatti, M., Giannini, G., Gruendl, R. A., Harrison, I., Hartley, W. G., Huff, E. M., Jarvis, M., Kuropatkin, N., Leget, P. -F., MacCrann, N., McCullough, J., Myles, J., Navarro-Alsina, A., Pandey, S., Prat, J., Raveri, M., Rollins, R. P., Ross, A. J., Rykoff, E. S., Sánchez, C., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M. A., Tutusaus, I., Yanny, B., Yin, B., Zhang, Y., Aguena, M., Brooks, D., Carretero, J., da Costa, L. N., Davis, T. M., De Vicente, J., Desai, S., Doel, P., Flaugher, B., Frieman, J., García-Bellido, J., Gaztanaga, E., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Lee, S., Lima, M., Marshall, J. L., Mena-Fernández, J., Miquel, R., Ogando, R. L. C., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Samuroff, S., Sanchez, E., Cid, D. Sanchez, Smith, M., Suchyta, E., Tarle, G., Vikram, V., Walker, A. R., and Weaverdyck, N.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - High Energy Astrophysical Phenomena
Abstract: Our understanding of the $\gamma$-ray sky has improved dramatically in the past decade, however, the unresolved $\gamma$-ray background (UGRB) still has a potential wealth of information about the faintest $\gamma$-ray sources pervading the Universe. Statistical cross-correlations with tracers of cosmic structure can indirectly identify the populations that most characterize the $\gamma$-ray background. In this study, we analyze the angular correlation between the $\gamma$-ray background and the matter distribution in the Universe as traced by gravitational lensing, leveraging more than a decade of observations from the Fermi-Large Area Telescope (LAT) and 3 years of data from the Dark Energy Survey (DES). We detect a correlation at signal-to-noise ratio of 8.9. Most of the statistical significance comes from large scales, demonstrating, for the first time, that a substantial portion of the UGRB aligns with the mass clustering of the Universe as traced by weak lensing. Blazars provide a plausible explanation for this signal, especially if those contributing to the correlation reside in halos of large mass ($\sim 10^{14} M_{\odot}$) and account for approximately 30-40 % of the UGRB above 10 GeV. Additionally, we observe a preference for a curved $\gamma$-ray energy spectrum, with a log-parabolic shape being favored over a power-law. We also discuss the possibility of modifications to the blazar model and the inclusion of additional $gamma$-ray sources, such as star-forming galaxies or particle dark matter., Comment: 34 pages, 15 figures
Published: 2025

4. Comparing the DES-SN5YR and Pantheon+ SN cosmology analyses: Investigation based on 'Evolving Dark Energy or Supernovae systematics?'

Author: Vincenzi, M., Kessler, R., Shah, P., Lee, J., Davis, T. M., Scolnic, D., Armstrong, P., Brout, D., Camilleri, R., Chen, R., Galbany, L., Lidman, C., Möller, A., Popovic, B., Rose, B., Sako, M., Sánchez, B. O., Smith, M., Sullivan, M., Wiseman, P., Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Bocquet, S., Brooks, D., Rosell, A. Carnero, Carretero, J., da Costa, L. N., Pereira, M. E. S., Diehl, H. T., Doel, P., Everett, S., Flaugher, B., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernández, J., Miquel, R., Muir, J., Myles, J., Palmese, A., Malagón, A. A. Plazas, Porredon, A., Samuroff, S., Sanchez, E., Cid, D. Sanchez, Sevilla-Noarbe, I., Suchyta, E., Tarle, G., To, C., Tucker, D. L., Vikram, V., Walker, A. R., Weaverdyck, N., Weller, J., and Collaboration, DES
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Recent cosmological analyses measuring distances of Type Ia Supernovae (SNe Ia) and Baryon Acoustic Oscillations (BAO) have all given similar hints at time-evolving dark energy. To examine whether underestimated SN Ia systematics might be driving these results, Efstathiou (2024) compared overlapping SN events between Pantheon+ and DES-SN5YR (20% SNe are in common), and reported evidence for a $\sim$0.04 mag offset between the low and high-redshift distance measurements of this subsample of events. If these offsets are arbitrarily subtracted from the entire DES-SN5YR sample, the preference for evolving dark energy is reduced. In this paper, we reproduce this offset and show that it has two sources. First, 43% of the offset is due to DES-SN5YR improvements in the modelling of supernova intrinsic scatter and host galaxy properties. These are scientifically-motivated modelling updates implemented in DES-SN5YR and their associated uncertainties are captured within the DES-SN5YR systematic error budget. Even if the less accurate scatter model and host properties from Pantheon+ are used instead, the DES-SN5YR evidence for evolving dark energy is only reduced from 3.9$\sigma$ to 3.3$\sigma$. Second, 38% of the offset is due to a misleading comparison because different selection functions characterize the DES subsets included in Pantheon+ and DES-SN5YR and therefore individual SN distance measurements are expected to be different because of different bias corrections. In conclusion, we confirm the validity of the published DES-SN5YR results., Comment: 9 pages, 5 figures
Published: 2025

5. Dark Energy Survey Year 6 Results: Point-Spread Function Modeling

Author: Schutt, T., Jarvis, M., Roodman, A., Amon, A., Becker, M. R., Gruendl, R. A., Yamamoto, M., Bechtol, K., Bernstein, G. M., Gatti, M., Rykoff, E. S., Sheldon, E., Troxel, M. A., Abbott, T. M. C., Aguena, M., Andrade-Oliveira, F., Brooks, D., Rosell, A. Carnero, Carretero, J., Chang, C., Choi, A., da Costa, L. N., Davis, T. M., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Ferté, A., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruen, D., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Kuehn, K., Lahav, O., Lee, S., Lima, M., Marshall, J. L., Mena-Fernández, J., Miquel, R., Mohr, J. J., Myles, J., Ogando, R. L. C., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Samuroff, S., Sanchez, E., Cid, D. Sanchez, Sevilla-Noarbe, I., Smith, M., Suchyta, E., Tarle, G., Vikram, V., Walker, A. R., and Weaverdyck, N.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: We present the point-spread function (PSF) modeling for weak lensing shear measurement using the full six years of the Dark Energy Survey (DES Y6) data. We review the PSF estimation procedure using the PIFF (PSFs In the Full FOV) software package and describe the key improvements made to PIFF and modeling diagnostics since the DES year three (Y3) analysis: (i) use of external Gaia and infrared photometry catalogs to ensure higher purity of the stellar sample used for model fitting, (ii) addition of color-dependent PSF modeling, the first for any weak lensing analysis, and (iii) inclusion of model diagnostics inspecting fourth-order moments, which can bias weak lensing measurements to a similar degree as second-order modeling errors. Through a comprehensive set of diagnostic tests, we demonstrate the improved accuracy of the Y6 models evident in significantly smaller systematic errors than those of the Y3 analysis, in which all $g$ band data were excluded due to insufficiently accurate PSF models. For the Y6 weak lensing analysis, we include $g$ band photometry data in addition to the $riz$ bands, providing a fourth band for photometric redshift estimation. Looking forward to the next generation of wide-field surveys, we describe several ongoing improvements to PIFF, which will be the default PSF modeling software for weak lensing analyses for the Vera C. Rubin Observatory's Legacy Survey of Space and Time., Comment: 33 pages, 24 figures
Published: 2025

6. Dark Energy Survey Year 6 Results: Photometric Data Set for Cosmology

Author: Bechtol, K., Sevilla-Noarbe, I., Drlica-Wagner, A., Yanny, B., Gruendl, R. A., Sheldon, E., Rykoff, E. S., De Vicente, J., Adamow, M., Anbajagane, D., Becker, M. R., Bernstein, G. M., Rosell, A. Carnero, Gschwend, J., Gorsuch, M., Hartley, W. G., Jarvis, M., Jeltema, T., Kron, R., Manning, T. A., O'Donnell, J., Pieres, A., Rodríguez-Monroy, M., Cid, D. Sanchez, Tabbutt, M., Cipriano, L. Toribio San, Tucker, D. L., Weaverdyck, N., Yamamoto, M., Abbott, T. M. C., Aguena, M., Alarcón, A., Allam, S., Amon, A., Andrade-Oliveira, F., Avila, S., Bernardinelli, P. H., Bertin, E., Blazek, J., Brooks, D., Burke, D. L., Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Choi, A., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., Davis, T. M., Desai, S., Diehl, H. T., Dodelson, S., Doel, P., Doux, C., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Gruen, D., Gutierrez, G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Jeffrey, N., Krause, E., Kuehn, K., Lahav, O., Lee, S., Lidman, C., Lima, M., Lin, H., Marshall, J. L., Mena-Fernández, J., Miquel, R., Mohr, J. J., Muir, J., Myles, J., Ogando, R. L. C., Palmese, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Raveri, M., Romer, A. K., Roodman, A., Samuroff, S., Sanchez, E., Scarpine, V., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., Troxel, M. A., Vikram, V., Walker, A. R., Weller, J., Wiseman, P., and Zhang, Y.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We describe the photometric data set assembled from the full six years of observations by the Dark Energy Survey (DES) in support of static-sky cosmology analyses. DES Y6 Gold is a curated data set derived from DES Data Release 2 (DR2) that incorporates improved measurement, photometric calibration, object classification and value added information. Y6 Gold comprises nearly $5000~{\rm deg}^2$ of $grizY$ imaging in the south Galactic cap and includes 669 million objects with a depth of $i_{AB} \sim 23.4$ mag at S/N $\sim 10$ for extended objects and a top-of-the-atmosphere photometric uniformity $< 2~{\rm mmag}$. Y6 Gold augments DES DR2 with simultaneous fits to multi-epoch photometry for more robust galaxy shapes, colors, and photometric redshift estimates. Y6 Gold features improved morphological star-galaxy classification with efficiency $98.6\%$ and contamination $0.8\%$ for galaxies with $17.5 < i_{AB} < 22.5$. Additionally, it includes per-object quality information, and accompanying maps of the footprint coverage, masked regions, imaging depth, survey conditions, and astrophysical foregrounds that are used for cosmology analyses. After quality selections, benchmark samples contain 448 million galaxies and 120 million stars. This paper will be complemented by online data access and documentation., Comment: Data products and documentation are publicly available at https://des.ncsa.illinois.edu/releases
Published: 2025

7. Dark Energy Survey Year 6 Results: Synthetic-source Injection Across the Full Survey Using Balrog

Author: Anbajagane, D., Tabbutt, M., Beas-Gonzalez, J., Yanny, B., Everett, S., Becker, M. R., Yamamoto, M., Legnani, E., De Vicente, J., Bechtol, K., Elvin-Poole, J., Bernstein, G. M., Choi, A., Gatti, M., Giannini, G., Gruendl, R. A., Jarvis, M., Lee, S., Mena-Fernández, J., Porredon, A., Rodriguez-Monroy, M., Rozo, E., Rykoff, E. S., Schutt, T., Sheldon, E., Troxel, M. A., Weaverdyck, N., Wetzell, V., Aguena, M., Alarcon, A., Allam, S., Amon, A., Andrade-Oliveira, F., Brooks, D., Rosell, A. Carnero, Carretero, J., Chang, C., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Desai, S., Diehl, H. T., Dodelson, S., Doel, P., Drlica-Wagner, A., Ferté, A., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruen, D., Gutierrez, G., Hartley, W. G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Krause, E., Kuehn, K., Lahav, O., Marshall, J. L., Miquel, R., Muir, J., Myles, J., Pieres, A., Malagón, A. A. Plazas, Prat, J., Raveri, M., Samuroff, S., Sanchez, E., Cid, D. Sanchez, Sevilla-Noarbe, I., Smith, M., Suchyta, E., Tarle, G., Tucker, D. L., Walker, A. R., Wiseman, P., and Zhang, Y.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies
Abstract: Synthetic source injection (SSI), the insertion of sources into pixel-level on-sky images, is a powerful method for characterizing object detection and measurement in wide-field, astronomical imaging surveys. Within the Dark Energy Survey (DES), SSI plays a critical role in characterizing all necessary algorithms used in converting images to catalogs, and in deriving quantities needed for the cosmology analysis, such as object detection rates, galaxy redshift estimation, galaxy magnification, star-galaxy classification, and photometric performance. We present here a source injection catalog of $146$ million injections spanning the entire 5000 deg$^2$ DES footprint, generated using the Balrog SSI pipeline. Through this sample, we demonstrate that the DES Year 6 (Y6) image processing pipeline provides accurate estimates of the object properties, for both galaxies and stars, at the percent-level, and we highlight specific regimes where the accuracy is reduced. We then show the consistency between SSI and data catalogs, for all galaxy samples developed within the weak lensing and galaxy clustering analyses of DES Y6. The consistency between the two catalogs also extends to their correlations with survey observing properties (seeing, airmass, depth, extinction, etc.). Finally, we highlight a number of applications of this catalog to the DES Y6 cosmology analysis. This dataset is the largest SSI catalog produced at this fidelity and will serve as a key testing ground for exploring the utility of SSI catalogs in upcoming surveys such as the Vera C. Rubin Observatory Legacy Survey of Space and Time.
Published: 2025

8. Dark Energy Survey Year 6 Results: Cell-based Coadds and Metadetection Weak Lensing Shape Catalogue

Author: Yamamoto, M., Becker, M. R., Sheldon, E., Jarvis, M., Gruendl, R. A., Menanteau, F., Rykoff, E. S., Mau, S., Schutt, T., Gatti, M., Troxel, M. A., Amon, A., Anbajagane, D., Bernstein, G. M., Gruen, D., Huff, E. M., Tabbutt, M., Tong, A., Yanny, B., Abbott, T. M. C., Aguena, M., Alarcon, A., Andrade-Oliveira, F., Bechtol, K., Blazek, J., Brooks, D., Rosell, A. Carnero, Carretero, J., Chang, C., Choi, A., Costanzi, M., Crocce, M., da Costa, L. N., Davis, T. M., De Vicente, J., Desai, S., Diehl, H. T., Dodelson, S., Doel, P., Doux, C., Drlica-Wagner, A., Ferté, A., Flaugher, B., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannini, G., Gutierrez, G., Hartley, W. G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Krause, E., Kuehn, K., Lahav, O., Lima, M., Marshall, J. L., Mena-Fernández, J., Miquel, R., Mohr, J. J., Muir, J., Myles, J., Ogando, R. L. C., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Raveri, M., Rodriguez-Monroy, M., Roodman, A., Samuroff, S., Sanchez, E., Cid, D. Sanchez, Scarpine, V., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Tarle, G., Vikram, V., Weaverdyck, N., Wiseman, P., and Zhang, Y.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: We present the Metadetection weak lensing galaxy shape catalogue from the six-year Dark Energy Survey (DES Y6) imaging data. This dataset is the final release from DES, spanning 4422 deg$^2$ of the southern sky. We describe how the catalogue was constructed, including the two new major processing steps, cell-based image coaddition and shear measurements with Metadetection. The DES Y6 Metadetection weak lensing shape catalogue consists of 151,922,791 galaxies detected over riz bands, with an effective number density of $n_{\rm eff}$ =8.22 galaxies per arcmin$^2$ and shape noise of $\sigma_e$ = 0.29. We carry out a suite of validation tests on the catalogue, including testing for PSF leakage, testing for the impact of PSF modeling errors, and testing the correlation of the shear measurements with galaxy, PSF, and survey properties. In addition to demonstrating that our catalogue is robust for weak lensing science, we use the DES Y6 image simulation suite (Mau, Becker et al. 2025) to estimate the overall multiplicative shear bias of our shear measurement pipeline. We find no detectable multiplicative bias at the roughly half-percent level, with m = (3.4 $\pm$ 6.1) x $10^{-3}$, at 3$\sigma$ uncertainty. This is the first time both cell-based coaddition and Metadetection algorithms are applied to observational data, paving the way to the Stage-IV weak lensing surveys., Comment: 30 pages, 22 figures
Published: 2025

9. Dark Energy Survey Year 3: Blue Shear

Author: McCullough, J., Amon, A., Legnani, E., Gruen, D., Roodman, A., Friedrich, O., MacCrann, N., Becker, M. R., Myles, J., Dodelson, S., Samuroff, S., Blazek, J., Prat, J., Honscheid, K., Pieres, A., Ferté, A., Alarcon, A., Drlica-Wagner, A., Choi, A., Navarro-Alsina, A., Campos, A., Malagón, A. A. Plazas, Porredon, A., Farahi, A., Ross, A. J., Rosell, A. Carnero, Yin, B., Flaugher, B., Yanny, B., Sánchez, C., Chang, C., Davis, C., To, C., Doux, C., Brooks, D., James, D. J., Cid, D. Sanchez, Hollowood, D. L., Huterer, D., Rykoff, E. S., Gaztanaga, E., Huff, E. M., Suchyta, E., Sheldon, E., Sanchez, E., Tarsitano, F., Andrade-Oliveira, F., Castander, F. J., Bernstein, G. M., Gutierrez, G., Giannini, G., Tarle, G., Diehl, H. T., Huang, H., Harrison, I., Sevilla-Noarbe, I., Tutusaus, I., Ferrero, I., Elvin-Poole, J., Marshall, J. L., Muir, J., Weller, J., Zuntz, J., Carretero, J., DeRose, J., Frieman, J., Cordero, J., De Vicente, J., García-Bellido, J., Mena-Fernández, J., Eckert, K., Romer, A. K., Bechtol, K., Herner, K., Kuehn, K., Secco, L. F., da Costa, L. N., Paterno, M., Soares-Santos, 21 M., Gatti, M., Raveri, M., Yamamoto, M., Smith, M., Kind, M. Carrasco, Troxel, M. A., Aguena, M., Jarvis, M., Swanson, M. E. C., Weaverdyck, N., Lahav, O., Doel, P., Wiseman, P., Miquel, R., Gruendl, R. A., Cawthon, R., Allam, S., Hinton, S. R., Bridle, S. L., Bocquet, S., Desai, S., Pandey, S., Everett, S., Lee, S., Shin, T., Palmese, A., Conselice, C., Burke, D. L., Buckley-Geer, E., Lima, M., Vincenzi, M., Pereira, M. E. S., Crocce, M., Schubnell, M., Jeffrey, N., Alves, O., Vikram, V., Zhang, Y., and Collaboration, DES
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Modeling the intrinsic alignment (IA) of galaxies poses a challenge to weak lensing analyses. The Dark Energy Survey is expected to be less impacted by IA when limited to blue, star-forming galaxies. The cosmological parameter constraints from this blue cosmic shear sample are stable to IA model choice, unlike passive galaxies in the full DES Y3 sample, the goodness-of-fit is improved and the $\Omega_{m}$ and $S_8$ better agree with the cosmic microwave background. Mitigating IA with sample selection, instead of flexible model choices, can reduce uncertainty in $S_8$ by a factor of 1.5., Comment: Data access available at https://jamiemccullough.github.io/data/blueshear/
Published: 2024

10. Superclustering with the Atacama Cosmology Telescope and Dark Energy Survey: II. Anisotropic large-scale coherence in hot gas, galaxies, and dark matter

Author: Lokken, M., van Engelen, A., Aguena, M., Allam, S. S., Anbajagane, D., Bacon, D., Baxter, E., Blazek, J., Bocquet, S., Bond, J. R., Brooks, D., Calabrese, E., Rosell, A. Carnero, Carretero, J., Costanzi, M., da Costa, L. N., Coulton, W. R., De Vicente, J., Desai, S., Doel, P., Doux, C., Duivenvoorden, A. J., Dunkley, J., Huang, Z., Everett, S., Ferrero, I., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Gluscevic, V., Gruen, D., Gruendl, R. A., Guan, Y., Gutierrez, G., Hinton, S. R., Hložek, R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Lee, S., Li, Z., Madhavacheril, M., Marques, G. A., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Myles, J., Niemack, M. D., Pandey, S., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Rodríguez-Monroy, M., Roodman, A., Samuroff, S., Sanchez, E., Cid, D. Sanchez, Santiago, B., Schubnell, M., Sevilla-Noarbe, I., Sifón, C., Smith, M., Staggs, S., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C-H., Weaverdyck, N., Wiseman, P., and Wollack, E. J.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Statistics that capture the directional dependence of the baryon distribution in the cosmic web enable unique tests of cosmology and astrophysical feedback. We use constrained oriented stacking of thermal Sunyaev-Zel'dovich (tSZ) maps to measure the anisotropic distribution of hot gas $2.5-40$ Mpc away from galaxy clusters embedded in massive filaments and superclusters. The cluster selection and orientation (at a scale of $\sim15$ Mpc) use Dark Energy Survey (DES) Year 3 data, while expanded tSZ maps from the Atacama Cosmology Telescope Data Release 6 enable a $\sim3\times$ more significant measurement of the extended gas compared to the technique's proof-of-concept. Decomposing stacks into cosine multipoles of order $m$, we detect a dipole ($m=1$) and quadrupole ($m=2$) at $8-10\sigma$, as well as evidence for $m=4$ signal at up to $6\sigma$, indicating sensitivity to late-time non-Gaussianity. We compare to the Cardinal simulations with spherical gas models pasted onto dark matter halos. The fiducial tSZ data can discriminate between two models that deplete pressure differently in low-mass halos (mimicking astrophysical feedback), preferring higher average pressure in extended structures. However, uncertainty in the amount of cosmic infrared background contamination reduces the constraining power. Additionally, we apply the technique to DES galaxy density and weak lensing to study for the first time their oriented relationships with tSZ. In the tSZ-to-lensing relation, averaged on 7.5 Mpc (transverse) scales, we observe dependence on redshift but not shape or radial distance. Thus, on large scales, the superclustering of gas pressure, galaxies, and total matter is coherent in shape and extent., Comment: 45 pages, 18 figures, submitted to ApJ
Published: 2024

11. Outcomes after perioperative SARS-CoV-2 infection in patients with proximal femoral fractures: an international cohort study

Author: T Richards, S Shaikh, S Rehman, A Khan, J Shah, C Smith, A Brown, S Singh, A P Arnaud, A Young, D Bowen, P Patel, S Williams, J Dunn, J John, M Loubani, A Hainsworth, A Kolias, PJ Hutchinson, R Singh, S Sinha, S Shaw, J Edwards, S Mukherjee, AAB Jamjoom, A Singh, S Saeed, J Martin, S Smith, S Ross, M Mohan, P Hutchinson, G James, RDC Moon, P Brennan, A Williams, S Brown, A Ward, M Lee, K Thompson, S Ali, J Williams, S Reid, U Khan, J Lambert, A Smith, B Singh, M Hassan, N Sharma, J Reynolds, N Wright, T Williams, H Smith, M Ng, M Rahman, A Taylor, P Shah, D Saxena, J Evans, I Omar, M Ali, A Hanson, Z Li, R Andrade, P Cardoso, H Jeong, P Sharma, M Arrieta, J Clark, L Pearce, J McVeigh, V Sharma, B Kim, J Singh, S Newman, J Byrne, A Hassan, A Persad, A Gardner, H Liu, K Shah, I Hughes, S Davison, A Balakrishnan, K Patel, J Hall, S Mistry, J Parry, R Baumber, N McGrath, E Ross, R Mannion, S Murphy, FL Wright, A Rogers, B Rai, M Thomas, R Ribeiro, E Hamilton, J Teixeira, B Davidson, L Carvalho, R Garrido, A Puppo, A Guimarães, E Santos, M Kamal, M Denning, M Elhadi, J E Fitzgerald, D Miller, M Gowda, C Morris, A Phillips, H Yang, Y Zhang, N Machairas, A Fisher, A Kaufmann, A Aggarwal, L Hansen, M Otify, H Soleymani Majd, A Jones, M Rodrigues, S Sundar, C Jones, R Edmondson, A Sharkey, L Smith, G Williams, J Dunning, E Belcher, D Stavroulias, V Zamvar, M Patel, M Baker, R Evans, M Sherif, J Hopkins, R Mohammed, A Hill, H Jackson, G Jones, K George, J Dixon, A Tong, S Jallad, Deborah S Keller, A Pereira, L Elliott, D Ford, A Sermon, M Almond, Andrew Metcalfe, C Peluso, T White, S Shah, A Witek, Chetan Khatri, A Tiwari, T Lo, K Agarwal, C Sweeney, C Hart, T Holme, S Green, I Ahmed, A Sobti, C Anderson, N Modi, R Campbell, C Magee, M Mirza, D Jones, N Stylianides, X Luo, C Kang, J Ribeiro, L Kumar, J Diaz, A Bhalla, R Young, C Perkins, A James, A Walters, J Reid, R Pereira, C McDonald, A Aujayeb, K Jackson, M Allen, D Ghosh, M Chan, C Price, K Khan, R Moore, M Ibrahim, A Marchbank, M Silva, M Baig, J De Coster, J Castellanos, S Saxena, M Duque, E Li, E Martin, A Isik, J González, RJ Davies, B Smith, R Owen, K Lakhoo, M Rogers, MA Akhtar, K Mellor, S Agrawal, L Foster, G Harris, J McIntyre, M Garner, R West, R Cuthbert, D Johnson, H Gomes, C Roy, N Spencer, D Mehta, J Freedman, J Blair, K Rajput, K Williams, J Wall, A Soliman, F Chen, A Mokhtari, I Mohamed, J Pascoe, M Khalifa, R Das, A Lara, M Costa, A Mahmoud, K Roberts, J Lane, S Robertson, J P Evans, E Krishnan, I Haq, S Rogers, J Knowles, M Chowdhury, A Ghanbari, L Macdonald, S Powell, J Hunt, J Cornish, J Engel, S Page, I Blake, A Rolls, H Ross, D Simpson, J Hammond, A Goyal, K Parkins, A Desai, A Gaunt, A Salim, Y Yousef, A Schache, H Mohan, SR Brown, R Nair, M Flatman, J Lord, RJ Egan, R Harries, N Judkins, K Sugand, T Hine, J Luck, C Johnson, G Salerno, AW Phillips, R Houston, A Volpe, C Walker, C Steele, M Rela, C Barry, R Alves, L Ramsay, A Turnbull, A Daniele, C S Jones, P Gallagher, G Gradinariu, A Oliveira, C Hardie, H Ferguson, S Bhattacharya, E Davies, P Joshi, C Mellor, E Griffiths, A Bhangu, R Mahoney, F Kashora, G Ruiz, K Wong, G Hill, V Testa, S Ford, C Park, P Gomez, C Lopes, A Lázaro, A Shabana, A Agarwal, C Chung, C Politis, G Martin, E Chung, M Ismail, C Cunha, S Correia, I Santos, A Tang, A Robson, T Collier, G Baltazar, M Quintana, C English, M Ip, K Newton, J Kahn, C Tan, D Cheng, R Woods, M Ho, A ABBAS, A Henry, F Rivas, M Mohammed, N Parsons, T Board, S Madan, A Osorio, M Jarvis, M Hashem, A Egglestone, E Halliday, A Ridgway, G Gallo, J Gilliland, W Marx, R Shaw, A Mahmood, K Gohil, B Gallagher, D Alderson, A Karim, G D Stewart, G Peck, L Majkowski, J Carter, H Ishii, L HUMPHREYS, J Khan, S Abbott, C Newton, F Borghi, A Sud, K Bhatia, H Cao, V Vijay, L Sanderson, E Holler, N Hanna, D Ferguson, P Miranda, L Pickering, T Singhal, T Newman, K Ghosh, C Camacho, D Manning, C Lipede, R Clifford, S Higgs, C Menakaya, S Shankar, K Booth, M Abdalla, T Nelson, T Farrell, H Naseem, J Johnstone, A Wilkins, A Brunt, A Nogués, A Patience, D Jeevan, M Vatish, G Stables, S Adegbola, I Hunt, K Dickson, W Matthews, N Dunne, M Maher, G Faulkner, E Hernandez, R Sofat, K Sahnan, A Brunelli, M Raza, K Chui, C Brennan, P Vaughan, H Chu, R Hagger, ASD Liyanage, R Perkins, S Duff, C Gill, H Dean, S Bandyopadhyay, K Ragupathy, Y Cunningham, A Bateman, V Brown, B Ho, E Britton, H Ikram, R Hasan, A Colquhoun, S Handa, A Maqsood, M Caputo, J Torkington, G Fusai, N Hossain, DJ Lin, S Stefan, IR Daniels, D Pournaras, A Askari, P Nisar, S Moug, J Sagar, N Yassin, G Minto, Z Hamady, JR O'Neill, S Chowdhury, R Cresner, D Vimalachandran, FD Mcdermott, RP Jones, P Zerbib, L Sreedharan, S Wahed, SS Gisbertz, MI van Berge Henegouwen, R Preece, I Liew, S McCluney, D Watts, D Nehra, B Dean, D Chaudhry, L Ross, F Solari, S Chatterji, B Barmayehvar, S Lourenco, L Onos, F Mansour, A Radhakrishnan, M Varcada, M Richmond, I Hernández, A Spinelli, H Pham, J Shalhoub, F Wells, K Bevan, A Peckham-Cooper, N Campain, J Steinke, R Wilkin, K McEvoy, S Mastoridis, N Fine, J Bayer, Y Joshi, A Yener, S C McKay, NS Kalson, S Horvath, H Fu, A Parente, SE Lewis, Y Ahmad, G Seidel, M Dunstan, U von Oppell, J Vatish, H Hirsch, K Breen, C Dott, D Mathieu, J Hardie, K Aldridge, A Doorgakant, P Petrone, R Tansey, M El Amrani, C Branco, Y Viswanath, A Meagher, B Keeler, N Tewari, A Gabr, J Kinross, M Longhi, E M Harrison, P Daliya, P Asaad, F Langlands, N Misra, S Kristinsson, S Di Saverio, C Conso, H Roy, E Massie, L Masterson, D Baskaran, A Hannah, O Ismail, S URBAN, J Domenech, S Ranjit, L Massey, S Mannan, D Rutherford, F Colombo, R Kulkarni, D Kearney, Neil J Smart, G Bourke, D Shrestha, P Nankivell, O Breik, R Exley, D Zakai, AK Abou-Foul, P Naredla, R Vidya, G Mundy, H Marin, A E Ward, A Sudarsanam, W Singleton, M Ganau, F Moura, J Blanco, R Myatt, S Sousa, H Zahid, S Garrido, A Fell, E Caruana, D Nepogodiev, F Dhaif, B Bankhad-Kendall, H Kaafarani, 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AL Clynch, N Georgopoulou, HM Sharples, AA Apampa, IC Nzenwa, D Podolsky, NL Coleman, MP Callahan, P Beak, I Gerogiannis, A Ebrahim, A Alwadiya, C Demetriou, E Grimley, E Theophilidou, E Ogden, FL Malcolm, G Davies-Jones, Ng JCK, N Elmaleh, Z Chia, J A'Court, A Konarski, R Talwar, P S Jambulingam, A Maity, C Hatzantonis, S Kudchadkar, N Cirocchi, CH Chan, H Eberbach, B Erdle, R Sandkamp, G Velmahos, LR Maurer, M El Moheb, A Gaitanidis, L Naar, MA Christensen, C Kapoen, K Langeveld, M El Hechi, B Main, T Maccabe, NS Blencowe, DP Fudulu, D Bhojwani, M Baquedano, F Rapetto, O Flannery, D Tadross, C Blundell, S Forlani, S Guha, CJ Kelty, G Chetty, G Lye, SP Balasubramanian, N Sureshkumar Shah, A Al-mukhtar, E Whitehall, A Giblin, A Adamec, J Konsten, M Van Heinsbergen, A Sou, J Jimeno Fraile, D Morales-Garcia, M Carrillo-Rivas, E Toledo Martínez, Pascual À, A Landaluce-olavarria, M Gonzalez De miguel, Fernández Gómez Cruzado L, E Begoña, D Lecumberri, A Calvo Rey, GM Prada hervella, L Dos Santos Carregal, MI Rodriguez Fernandez, M Freijeiro, S El Drubi Vega, J Van den Eynde, W Oosterlinck, R Van den Eynde, A Boeckxstaens, A Cordonnier, J Jaekers, M Miserez, M Galipienso Eri, JD Garcia Montesino, J Dellonder Frigolé, D Noriego Muñoz, V Lizzi, F Vovola, A Arminio, A Cotoia, AL Sarni, M Bekheit, BS Kamera, M Elhusseini, A Ahmeidat, W Cymes, G Mignot, J Agilinko, A Sgrò, MM Rashid, K Milne, KE Stewart, MSJ Wilson, K McGivern, BC Brown, B Wadham, IA Aneke, J Collis, H Warburton, DM Fountain, R Laurente, KV Sigamoney, M Dasa, Z Naqui, M Galhoum, MT Hasan, R Kalenderov, O Pathmanaban, R Chelva, K Subba, M Khalefa, F Hossain, T Moores, J Anthoney, O Emmerson, R Makin-Taylor, CS Ong, R Callan, O Bloom, G Chauhan, J Kaur, A Burahee, S Bleibleh, N Pigadas, D Snee, S Bhasin, A Crichton, A Habeebullah, AS Bodla, M Mondragon, V Dewan, MC Giuffrida, A Marano, S Palagi, S Di Maria Grimaldi, A Simonato, M D'Agruma, R Chiarpenello, L Pellegrino, F Maione, D Cianflocca, Pruiti Ciarello, G Giraudo, E Gelarda, E Dalmasso, A Abrate, V Ciriello, F Rosato, A Garnero, L Leotta, M Chiozza, G Anania, A Urbani, M Koleva Radica, P Carcoforo, M Portinari, M Sibilla, JE Archer, A Odeh, N Siddaiah, H Carmichael, CG Velopulos, RC McIntyre, TJ Schroeppel, EA Hennessy, L Zier, C Parmar, JM Muñoz Vives, CJ Gómez Díaz, CA Guariglia, C Soto Montesinos, L Sanchon, M Xicola Martínez, N Guàrdia, P Collera, R Diaz Del Gobbo, R Sanchez Jimenez, R Farre Font, R Flores Clotet, CEM Brathwaite, H Hakmi, AH Sohail, R Heckburn, D Townshend, N McLarty, A Shenfine, K Madhvani, M Hampton, AP Hormis, V Miu, K Sheridan, C Luney, MA Williams, A Alqallaf, A Ben-Sassi, R Crichton, J Sonksen, GR Layton, B Karki, S Pankhania, S Asher, A Folorunso, J Winyard, J Mangwani, BHB Babu, C Weerasinghe, M Ballabio, P Bisagni, T Armao, M Madonini, A Gagliano, P Pizzini, A Älgå, M Nordberg, G Sandblom, J El Kafsi, K Logishetty, A Saadya, R Midha, H Subbiah Ponniah, T Stockdale, T Bacarese-Hamilton, N Anjarwalla, D Marujo Henriques, R Hettige, C Baban, A Tenovici, F Anazor, SD King, S Kazzaz, S HKruijff, De Vries JPPM, PJ Steinkamp, PKC Jonker, WY Van der Plas, W Bierman, Y Janssen, ABJ Borgstein, D Enjuto, M Perez Gonzalez, P Díaz Peña, M Marqueta De Salas, P Martinez Pascual, L Rodríguez Gómez, R Garcés García, A Ramos Bonilla, N Herrera-Merino, P Fernández Bernabé, EP Cagigal Ortega, García de Castro Rubio E, I Cervera, MH Siddique, C Barmpagianni, A Basgaran, A Basha, V Okechukwu, A Bartsch, CA Leo, HK Ubhi, N Zafar, H Abdul-Jabar, F Mongelli, M Bernasconi, M Di Giuseppe, D Christoforidis, D La Regina, M Arigoni, A Al-Sukaini, S Mediratta, O Brown, M Boal, S Stanger, H Abdalaziz, J Constable, G Dovell, R Gopi reddy, A Dehal, HB Shah, GWV Cross, P Seyed-Safi, YW Smart, A Kuc, M Al-Yaseen, B Jayasankar, D Balasubramaniam, K Abdelsaid, N Mundkur, RE Soulsby, O Ryska, T Raymond, P Hawkin, G Kinnaman, I Sharma, K Freystaetter, JN Hadfield, A Hilley, S Arkani, M Youssef, I Shaikh, K Seebah, V Kouritas, D Chrastek, G Maryan, DF Gill, F Khatun, J Parakh, V Sarodaya, A Daadipour, KD Bosch, V Bashkirova, LS Dvorkin, VK Kalidindi, A Choudhry, M Espino Segura-Illa, G Sánchez Aniceto, AM Castaño-Leon, L Jimenez-Roldan, J Delgado Fernandez, A Pérez Núñez, A Lagares, D Garcia Perez, M Santas, I Paredes, O Esteban Sinovas, L Moreno-Gomez, E Rubio, V Vega, A Vivas Lopez, M Labalde Martinez, O García Villar, PM Pelaéz Torres, J Garcia Borda, E Ferrero Herrero, C Eiriz Fernandez, C Ojeda-Thies, JM Pardo Garcia, H Wynn Jones, H Divecha, C Whelton, E Powell-Smith, M Alotaibi, A Maashi, A Zowgar, M Alsakkaf, O Izquierdo, D Ventura, D Escobar, U Garcia de cortazar, Villamor Garcia, A Cioci, K Rakoczy, W Pavlis, R Saberi, A Khaleel, A Unnithan, K Memon, RR Pala Bhaskar, F Maqboul, F Kamel, A Al-Samaraee, R Madani, H Llaquet Bayo, N Duchateau, C De Gheldere, A Fayad, ML Wood, G Groot, I Hakami, C Boeker, J Mall, AF Haugstvedt, ML Jönsson, P Caja Vivancos, Villalabeitia Ateca, M Prieto Calvo, P Martin Playa, A Gainza, EJ Aragon Achig, A Rodriguez Fraga, Melchor Corcóstegui, G Mallabiabarrena Ormaechea, JJ Garcia Gutierrez, L Barbier, MA Pesántez Peralta, M Jiménez Jiménez, JA Municio Martín, J Gómez Suárez, G García Operé, LA Pascua Gómez, M Oñate Aguirre, A Fernandez-Colorado, M De la Rosa-Estadella, A Gasulla-Rodriguez, M Serrano-Martin, A Peig-Font, S Junca-Marti, M Juarez-Pomes, S Garrido-Ondono, L Blasco-Torres, M Molina-Corbacho, Y Maldonado-Sotoca, A Gasset-Teixidor, J Blasco-Moreu, V Turrado-Rodriguez, AM Lacy, FB de Lacy, X Morales, A Carreras-Castañer, P Torner, M Jornet-Gibert, M Balaguer-Castro, M Renau-Cerrillo, P Camacho-Carrasco, M Vives-Barquiel, B Campuzano-Bitterling, I Gracia, R Pujol-Muncunill, M Estaire Gómez, D Padilla-Valverde, S Sánchez-García, D Sanchez-Pelaez, E Jimenez Higuera, R Picón Rodríguez, Fernández Camuñas À, C Martínez-Pinedo, EP Garcia Santos, V Muñoz-Atienza, A Moreno Pérez, CA Cano, D Crego-Vita, M Huecas-Martinez, A Roselló Añón, MJ Sangüesa, JC Bernal-Sprekelsen, JC Catalá Bauset, P Renovell Ferrer, C Martínez Pérez, O Gil-Albarova, J Gilabert Estellés, K Aghababyan, R Rivas, J Escartin, JL Blas Laina, B Cros, Talal El-Abur, J Garcia Egea, C Yanez, JH Kauppila, E Sarjanoja, S Tzedakis, PA Bouche, S Gaujoux, D Gossot, A Seguin-Givelet, D Fuks, M Grigoroiu, R Sanchez Salas, X Cathelineau, P Macek, Y Barbé, F Rozet, E Barret, A Mombet, N Cathala, E Brian, F Zadegan, AJ Baldwin, E Gammeri, A Catton, S Marinos Kouris, J Pereca, M Kaushal, A Kler, V Reghuram, S Tezas, V Oktseloglou, F Mosley, MFI De La Cruz Monroy, P Bobak, S Ahad, E Lostis, GK Ambler, J Manara, M Doe, T Jichi, GD Stewart, J Ramzi, AA Singh, J Ashcroft, OJ Baker, P Coughlin, Durst AZED, A Abood, A Habeeb, VE Hudson, B Lamb, L Luke, S Mitrasinovic, Ngu AWT, S Waseem, F Georgiades, XS Tan, J Pushpa-rajah, I Abu-Nayla, S Rooney, E Irune, MHV Byrne, A Durrani, A Sethuraman Venkatesan, T Combellack, G Tahhan, M Kornaszewska, V Valtzoglou, I Deglurkar, M Koutentakis, Syed Nong Chek SAH, M Shinkwin, F Ayeni, H Tustin, M Bordenave, N Manu, N Eardley, OL Serevina, S Roy Mahapatra, K Mohankumar, I Khawaja, A Palepa, T Doulias, Y Premakumar, Y Jauhari, Z Koshnow, A Uberai, F Hirri, BM Stubbs, J Manickavasagam, S Dalgleish, R Kanitkar, CJ Payne, Ng CE, DE Henshall, T Drake, EM Harrison, A Tambyraja, RJE Skipworth, G Linder, R McGregor, J Mayes, R Pasricha, A Razik, S Thrumurthy, D Howden, Z Baxter, L Osagie, M Bence, GE Fowler, N Rajaretnam, A Goubran, JS McGrath, JRA Phillips, DA Raptis, JM Pollok, F Soggiu, S Xyda, C Hidalgo Salinas, H Tzerbinis, T Pissanou, R Mirnezami, N Angamuthu, T Shakir, H Capitelli-McMahon, L Hitchman, A Andronic, A Aboelkassem Ibrahim, J Totty, S Tayeh, T Chase, J Ayorinde, T Cuming, A Trompeter, C Hing, P Tsinaslanidis, MW Benjamin, A Leyte, J Smelt, G Santhirakumaran, A Labib, O Lyons, S Onida, KM Sarraf, S Erridge, S Yalamanchili, A Abuown, D Davenport, S Wheatstone, SM Andreani, MF Bath, A Sahni, L Rigueros Springford, C Sohrabi, J Bacarese-Hamilton, FG Taylor, P Patki, C Tanabalan, ME Alexander, CJ Smart, L Abdeh, M Zeiton, R Advani, S Nikolaou, T Oni, N Ilahi, K Ballantyne, Z Woodward, R Merh, B Robertson-Smith, P Ameerally, JG Finch, C Gnanachandran, I Pop, D Dass, G Thiruchandran, Toh SKC, A Allana, C Bellis, O Babawale, YC Phan, U Lokman, T Koc, L Duggleby, S Shamoon, H Clancy, A Mansuri, A Thakrar, L Wickramarachchi, S Sivayoganathan, E Karam, HV Colvin, A Badran, A Cadersa, A Cumpstey, R Aftab, F Wensley, V Morrison-Jones, GK Sekhon, H Shields, Z Shakoor, T Talbot, A Alzetani, J Rooney, M Rudic, A Aladeojebi, M Kitchen, R Lefroy, P Nanjaiah, AD Rajgor, RJ Scurrah, LJ Watson, T Royle, B Steel, Luk ACO, VG Thiruvasagam, W Marlow, C Konstantinou, D Yershov, A Denning, E Mangos, T Nambirajan, I Flindall, V Mahendran, J De Marchi, NF Davis, A Picciariello, V Papagni, DF Altomare, S Granieri, C Cotsoglou, A Cabeleira, P Serralheiro, T Teles, C Canhoto, J Simões, AC Almeida, O Nogueira, R Athayde Nemésio, MJ Amaral, A Valente da Costa, R Martins, P Guerreiro, A Ruivo, D Breda, JM Oliveira, AL De Oliveira Lopez, M Colino, J De Barros, AP Soares, H Morais, T Revez, MI Manso, JC Domingues, P Henriques, Cardoso N Ribeiro VI, G Martins dos Santos, M Peralta Ferreira, J Ascensão, B Costeira, L Rio Rodrigues, M Sousa Fernandes, P Azevedo, I Lourenço, G Mendinhos, A Nobre Pinto, H Taflin, H Abdou, L O'Meara, Z Cooper, SA Hirji, BU Okafor, V Roxo, CP Raut, JS Jolissaint, DA Mahvi, C Reinke, S Merola, A Ssentongo, P Ssentongo, Oh JS, J Hazelton, J Maines, N Gusani, RCG Martin, N Bhutiani, R Choron, F Soliman, MD E Dauer, E Renza-Stingone, E Gokcen, E Kropf, H Sufrin, J Sewards, J Poggio, K Sanserino, L Rae, M Philp, M Metro, P McNelis, R Petrov, T Pazionis, DB Lumenta, SP Nischwitz, E Richtig, M Pau, P Srekl-Filzmaier, N Eibinger, B Michelitsch, M Fediuk, A Papinutti, TU Cohnert, E Kantor, J Kahiu, S Hosny, A Sultana, M Taggarsi, L Vitone, OP Vaz, I Sarantitis, S Timbrell, A Shugaba, GP Jones, SS Tripathi, MS Greenhalgh, H Emerson, K Vejsbjerg, W McCormick, K Singisetti, Y Aawsaj, R Vanker, M Ghobrial, S Kanthasamy, H Fawi, M Awadallah, J Cheung, S Tingle, F Abbadessa, A Sachdeva, CD Chan, I McPherson, F Mahmoud Ali, S Pandanaboyana, T Grainger, S Nandhra, N Dawe, C McCaffer, J Riches, J Moir, H Elamin Ahmed, C Saleh, RM Koshy, LJ Rogers, PL Labib, N Hope, K Emslie, P Panahi, E Clough, I Enemosah, J Natale, N Raza, JI Webb, M Antar, J Noel, R Nunn, F Eriberto, R Tanna, S Lodhia, C Osório, J Antunes, P Balau, and M Godinho
Subjects: Medicine
Abstract: Objectives Studies have demonstrated high rates of mortality in people with proximal femoral fracture and SARS-CoV-2, but there is limited published data on the factors that influence mortality for clinicians to make informed treatment decisions. This study aims to report the 30-day mortality associated with perioperative infection of patients undergoing surgery for proximal femoral fractures and to examine the factors that influence mortality in a multivariate analysis.Setting Prospective, international, multicentre, observational cohort study.Participants Patients undergoing any operation for a proximal femoral fracture from 1 February to 30 April 2020 and with perioperative SARS-CoV-2 infection (either 7 days prior or 30-day postoperative).Primary outcome 30-day mortality. Multivariate modelling was performed to identify factors associated with 30-day mortality.Results This study reports included 1063 patients from 174 hospitals in 19 countries. Overall 30-day mortality was 29.4% (313/1063). In an adjusted model, 30-day mortality was associated with male gender (OR 2.29, 95% CI 1.68 to 3.13, p80 years (OR 1.60, 95% CI 1.1 to 2.31, p=0.013), preoperative diagnosis of dementia (OR 1.57, 95% CI 1.15 to 2.16, p=0.005), kidney disease (OR 1.73, 95% CI 1.18 to 2.55, p=0.005) and congestive heart failure (OR 1.62, 95% CI 1.06 to 2.48, p=0.025). Mortality at 30 days was lower in patients with a preoperative diagnosis of SARS-CoV-2 (OR 0.6, 95% CI 0.6 (0.42 to 0.85), p=0.004). There was no difference in mortality in patients with an increase to delay in surgery (p=0.220) or type of anaesthetic given (p=0.787).Conclusions Patients undergoing surgery for a proximal femoral fracture with a perioperative infection of SARS-CoV-2 have a high rate of mortality. This study would support the need for providing these patients with individualised medical and anaesthetic care, including medical optimisation before theatre. Careful preoperative counselling is needed for those with a proximal femoral fracture and SARS-CoV-2, especially those in the highest risk groups.Trial registration number NCT04323644
Published: 2021
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12. Suppression of the type Ia supernova host galaxy step in the outer regions of galaxies

Author: Toy, M., Wiseman, P., Sullivan, M., Scolnic, D., Vincenzi, M., Brout, D., Davis, T. M., Frohmaier, C., Galbany, L., Lidman, C., Lee, J., Kelsey, L., Kessler, R., Möller, A., Popovic, B., Sánchez, B. O., Shah, P., Smith, M., Allam, S., Aguena, M., Alves, O., Bacon, D., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Doel, P., Drlica-Wagner, A., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernández, J., Miquel, R., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Samuroff, S., Sanchez, E., Cid, D. Sanchez, Schubnell, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, D. L., Vikram, V., Walker, A. R., and Weaverdyck, N.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Using 1533 type Ia supernovae (SNe Ia) from the five-year sample of the Dark Energy Survey (DES), we investigate the effects of projected galactocentric separation between the SNe and their host galaxies on their light curves and standardization. We show, for the first time, that the difference in SN Ia post-standardization brightnesses between high and low-mass hosts reduces from $0.078\pm0.011$ mag in the full sample to $0.036 \pm 0.018$ mag for SNe Ia located in the outer regions of their host galaxies, while increasing to $0.100 \pm 0.014$ mag for SNe in the inner regions. In these inner regions, the step can be reduced (but not removed) using a model where the $R_V$ of dust along the line-of-sight to the SN changes as a function of galaxy properties. To explain the remaining difference, we use the distributions of the SN Ia stretch parameter to test whether the inferred age of SN progenitors are more varied in the inner regions of galaxies. We find that the proportion of high-stretch SNe Ia in red (older) environments is more prominent in outer regions and that the outer regions stretch distributions are overall more homogeneous compared to inner regions, but conclude that this effect cannot explain the reduction in significance of any Hubble residual step in outer regions. We conclude that the standardized distances of SNe Ia located in the outer regions of galaxies are less affected by their global host galaxy properties than those in the inner regions., Comment: 17 pages, 13 figures
Published: 2024

13. Calibrating the Absolute Magnitude of Type Ia Supernovae in Nearby Galaxies using [OII] and Implications for $H_{0}$

Author: Dixon, M., Mould, J., Lidman, C., Taylor, E. N., Flynn, C., Duffy, A. R., Galbany, L., Scolnic, D., Davis, T. M., Möller, A., Kelsey, L., Lee, J., Wiseman, P., Vincenzi, M., Shah, P., Aguena, M., Allam, S. S., Alves, O., Bacon, D., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., Conselice, C., da Costa, L. N., Pereira, M. E. S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Gruen, D., Gruendl, R. A., Gutierrez, G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lima, M., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Myles, J., Nichol, R. C., Ogando, R. L. C., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Samuroff, S., Sanchez, E., Cid, D. Sanchez, Sevilla-Noarbe, I., Smith, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Tucker, B. E., Tucker, D. L., Vikram, V., Walker, A. R., and Weaverdyck, N.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The present state of cosmology is facing a crisis where there is a fundamental disagreement in measurements of the Hubble constant ($H_{0}$), with significant tension between the early and late universe methods. Type Ia supernovae (SNe Ia) are important to measuring $H_{0}$ through the astronomical distance ladder. However, there remains potential to better standardise SN Ia light curves by using known dependencies on host galaxy properties after the standard light curve width and colour corrections have been applied to the peak SN Ia luminosities. To explore this, we use the 5-year photometrically identified SNe Ia sample obtained by the Dark Energy Survey, along with host galaxy spectra obtained by the Australian Dark Energy Survey. Using host galaxy spectroscopy, we find a significant trend with the equivalent width (EW) of the [OII] $\lambda\lambda$ 3727, 29 doublet, a proxy for specific star formation rate, and Hubble residuals. We find that the correlation with [OII] EW is a powerful alternative to the commonly used mass step after initial light curve corrections. We applied our [OII] EW correction to a sample of 20 SN Ia hosted by calibrator galaxies observed using WiFeS, and examined the impact on both the SN Ia absolute magnitude and $H_{0}$. We then explored different [OII] EW corrections and found $H_{0}$ values ranging between $72.80$ to $73.28~\mathrm{km} \mathrm{s}^{-1} \mathrm{Mpc}^{-1}$. Notably, even after using an additional [OII] EW correction, the impact of host galaxy properties in standardising SNe Ia appears limited in reducing the current tension ($\sim$5$\sigma$) with the Cosmic Microwave Background result for $H_{0}$., Comment: 16 pages, 13 figures. Submitting to MNRAS
Published: 2024

14. Enhancing weak lensing redshift distribution characterization by optimizing the Dark Energy Survey Self-Organizing Map Photo-z method

Author: Campos, A., Yin, B., Dodelson, S., Amon, A., Alarcon, A., Sánchez, C., Bernstein, G. M., Giannini, G., Myles, J., Samuroff, S., Alves, O., Andrade-Oliveira, F., Bechtol, K., Becker, M. R., Blazek, J., Camacho, H., Rosell, A. Carnero, Kind, M. Carrasco, Cawthon, R., Chang, C., Chen, R., Choi, A., Cordero, J., Davis, C., DeRose, J., Diehl, H. T., Doux, C., Drlica-Wagner, A., Eckert, K., Eifler, T. F., Elvin-Poole, J., Everett, S., Fang, X., Ferté, A., Friedrich, O., Gatti, M., Gruen, D., Gruendl, R. A., Harrison, I., Hartley, W. G., Herner, K., Huang, H., Huff, E. M., Jarvis, M., Krause, E., Kuropatkin, N., Leget, P. -F., MacCrann, N., McCullough, J., Navarro-Alsina, A., Pandey, S., Prat, J., Raveri, M., Rollins, R. P., Roodman, A., Rosenfeld, R., Ross, A. J., Rykoff, E. S., Sanchez, J., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M. A., Tutusaus, I., Varga, T. N., Wechsler, R. H., Yanny, B., Zhang, Y., Zuntz, J., Aguena, M., Annis, J., Bacon, D., Bocquet, S., Brooks, D., Burke, D. L., Carretero, J., Castander, F. J., Costanzi, M., da Costa, L. N., De Vicente, J., Doel, P., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gaztanaga, E., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lima, M., Lin, H., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Ogando, R. L. C., Paterno, M., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Sanchez, E., Cid, D. Sanchez, Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Vikram, V., and Weaverdyck, N.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: Characterization of the redshift distribution of ensembles of galaxies is pivotal for large scale structure cosmological studies. In this work, we focus on improving the Self-Organizing Map (SOM) methodology for photometric redshift estimation (SOMPZ), specifically in anticipation of the Dark Energy Survey Year 6 (DES Y6) data. This data set, featuring deeper and fainter galaxies than DES Year 3 (DES Y3), demands adapted techniques to ensure accurate recovery of the underlying redshift distribution. We investigate three strategies for enhancing the existing SOM-based approach used in DES Y3: 1) Replacing the Y3 SOM algorithm with one tailored for redshift estimation challenges; 2) Incorporating $\textit{g}$-band flux information to refine redshift estimates (i.e. using $\textit{griz}$ fluxes as opposed to only $\textit{riz}$); 3) Augmenting redshift data for galaxies where available. These methods are applied to DES Y3 data, and results are compared to the Y3 fiducial ones. Our analysis indicates significant improvements with the first two strategies, notably reducing the overlap between redshift bins. By combining strategies 1 and 2, we have successfully managed to reduce redshift bin overlap in DES Y3 by up to 66$\%$. Conversely, the third strategy, involving the addition of redshift data for selected galaxies as an additional feature in the method, yields inferior results and is abandoned. Our findings contribute to the advancement of weak lensing redshift characterization and lay the groundwork for better redshift characterization in DES Year 6 and future stage IV surveys, like the Rubin Observatory.
Published: 2024

15. Paraxial wave propagation: Operator techniques

Author: Moya-Cessa, H. M., Ramos-Prieto, I., Soto-Eguibar, F., Ruíz, U., and la Llave, D. Sánchez-de
Subjects: Physics - Optics
Abstract: The similarity between the Schr\"odinger equation and the paraxial wave equation permits numerous analogies linking these fields, which is pivotal in advancing both quantum mechanics and wave optics. In this study, we demonstrate the application of operator techniques to an electromagnetic field characterized by the function $f(x + ay)$, leveraging the structural analogies between these equations. Specifically, we employ initial conditions defined by Airy and Bessel functions to illustrate the practical implementation of these techniques.
Published: 2024

16. Weak Gravitational Lensing around Low Surface Brightness Galaxies in the DES Year 3 Data

Author: Chicoine, N., Prat, J., Zacharegkas, G., Chang, C., Tanoglidis, D., Drlica-Wagner, A., Anbajagane, D., Adhikari, S., Amon, A., Wechsler, R. H., Alarcon, A., Bechtol, K., Becker, M. R., Bernstein, G. M., Campos, A., Rosell, A. Carnero, Kind, M. Carrasco, Cawthon, R., Chen, R., Choi, A., Cordero, J., Davis, C., DeRose, J., Dodelson, S., Doux, C., Eckert, K., Elvin-Poole, J., Everett, S., Ferté, A., Gatti, M., Giannini, G., Gruen, D., Gruendl, R. A., Harrison, I., Herner, K., Jarvis, M., Leget, P. -F., MacCrann, N., McCullough, J., Myles, J., Navarro-Alsina, A., Pandey, S., Raveri, M., Rollins, R. P., Roodman, A., Ross, A. J., Rykoff, E. S., Sánchez, C., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M. A., Tutusaus, I., Varga, T. N., Yanny, B., Yin, B., Zuntz, J., Aguena, M., Alves, O., Bacon, D., Brooks, D., Carretero, J., Castander, F. J., Conselice, C., Desai, S., De Vicente, J., Doel, P., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gaztanaga, E., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lee, S., Lidman, C., Lima, M., Marshall, J. L., Mena-Fernández, J., Miquel, R., Muir, J., Ogando, R. L. C., Palmese, A., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Walker, A. R., Samuroff, S., Sanchez, E., Cid, D. Sanchez, Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Tucker, D. L., Vikram, V., Weaverdyck, N., and Wiseman, P.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We present galaxy-galaxy lensing measurements using a sample of low surface brightness galaxies (LSBGs) drawn from the Dark Energy Survey Year 3 (Y3) data as lenses. LSBGs are diffuse galaxies with a surface brightness dimmer than the ambient night sky. These dark-matter-dominated objects are intriguing due to potentially unusual formation channels that lead to their diffuse stellar component. Given the faintness of LSBGs, using standard observational techniques to characterize their total masses proves challenging. Weak gravitational lensing, which is less sensitive to the stellar component of galaxies, could be a promising avenue to estimate the masses of LSBGs. Our LSBG sample consists of 23,790 galaxies separated into red and blue color types at $g-i\ge 0.60$ and $g-i< 0.60$, respectively. Combined with the DES Y3 shear catalog, we measure the tangential shear around these LSBGs and find signal-to-noise ratios of 6.67 for the red sample, 2.17 for the blue sample, and 5.30 for the full sample. We use the clustering redshifts method to obtain redshift distributions for the red and blue LSBG samples. Assuming all red LSBGs are satellites, we fit a simple model to the measurements and estimate the host halo mass of these LSBGs to be $\log(M_{\rm host}/M_{\odot}) = 12.98 ^{+0.10}_{-0.11}$. We place a 95% upper bound on the subhalo mass at $\log(M_{\rm sub}/M_{\odot})<11.51$. By contrast, we assume the blue LSBGs are centrals, and place a 95% upper bound on the halo mass at $\log(M_\mathrm{host}/M_\odot) < 11.84$. We find that the stellar-to-halo mass ratio of the LSBG samples is consistent with that of the general galaxy population. This work illustrates the viability of using weak gravitational lensing to constrain the halo masses of LSBGs., Comment: 20 pages, 14 figures
Published: 2024
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17. Evaluating Cosmological Biases using Photometric Redshifts for Type Ia Supernova Cosmology with the Dark Energy Survey Supernova Program

Author: Chen, R., Scolnic, D., Vincenzi, M., Rykoff, E. S., Myles, J., Kessler, R., Popovic, B., Sako, M., Smith, M., Armstrong, P., Brout, D., Davis, T. M., Galbany, L., Lee, J., Lidman, C., Möller, A., Sánchez, B. O., Sullivan, M., Qu, H., Wiseman, P., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Andrade-Oliveira, F., Annis, J., Bacon, D., Brooks, D., Rosell, A. Carnero, Carretero, J., Choi, A., Conselice, C., da Costa, L. N., Pereira, M. E. S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Gruen, D., Gruendl, R. A., Gutierrez, G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kuehn, K., Lima, M., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Ogando, R. L. C., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Roodman, A., Samuroff, S., Sanchez, E., Cid, D. Sanchez, Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Tucker, D. L., Vikram, V., Weaverdyck, N., and Weller, J.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Cosmological analyses with Type Ia Supernovae (SNe Ia) have traditionally been reliant on spectroscopy for both classifying the type of supernova and obtaining reliable redshifts to measure the distance-redshift relation. While obtaining a host-galaxy spectroscopic redshift for most SNe is feasible for small-area transient surveys, it will be too resource intensive for upcoming large-area surveys such as the Vera Rubin Observatory Legacy Survey of Space and Time, which will observe on the order of millions of SNe. Here we use data from the Dark Energy Survey (DES) to address this problem with photometric redshifts (photo-z) inferred directly from the SN light-curve in combination with Gaussian and full p(z) priors from host-galaxy photo-z estimates. Using the DES 5-year photometrically-classified SN sample, we consider several photo-z algorithms as host-galaxy photo-z priors, including the Self-Organizing Map redshifts (SOMPZ), Bayesian Photometric Redshifts (BPZ), and Directional-Neighbourhood Fitting (DNF) redshift estimates employed in the DES 3x2 point analyses. With detailed catalog-level simulations of the DES 5-year sample, we find that the simulated w can be recovered within $\pm$0.02 when using SN+SOMPZ or DNF prior photo-z, smaller than the average statistical uncertainty for these samples of 0.03. With data, we obtain biases in w consistent with simulations within ~1$\sigma$ for three of the five photo-z variants. We further evaluate how photo-z systematics interplay with photometric classification and find classification introduces a subdominant systematic component. This work lays the foundation for next-generation fully photometric SNe Ia cosmological analyses., Comment: 19 pages, 9 figures. Submitting to MNRAS, comments welcome
Published: 2024

18. Galaxy cluster matter profiles: I. Self-similarity and mass calibration

Author: Singh, A., Mohr, J. J., Davies, C. T., Bocquet, S., Grandis, S., Klein, M., Marshall, J. L., Aguena, M., Allam, S. S., Alves, O., Andrade-Oliveira, F., Bacon, D., Bhargava, S., Brooks, D., Rosell, A. Carnero, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Doel, P., Everett, S., Flaugher, B., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruendl, R. A., Gutierrez, G., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lima, M., Mena-Fernández, J., Menanteau, F., Miquel, R., Myles, J., Pieres, A., Romer, A. K., Samuroff, S., Sanchez, E., Cid, D. Sanchez, Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Tucker, D. L., Vikram, V., Weaverdyck, N., and Wiseman, P.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present a study of the weak lensing matter profiles of 698 South Pole Telescope (SPT) thermal Sunyaev-Zel'dovich effect (tSZE) selected galaxy clusters in the redshift range $0.25
Published: 2024

19. Dark Energy Survey Year 3 Results: Cosmology from galaxy clustering and galaxy-galaxy lensing in harmonic space

Author: Faga, L., Andrade-Oliveira, F., Camacho, H., Rosenfeld, R., Lima, M., Doux, C., Fang, X., Prat, J., Porredon, A., Aguena, M., Alarcon, A., Allam, S., Alves, O., Amon, A., Avila, S., Bacon, D., Bechtol, K., Becker, M. R., Bernstein, G. M., Bocquet, S., Brooks, D., Buckley-Geer, E., Campos, A., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chen, R., Choi, A., Cordero, J., Crocce, M., da Costa, L. N., Pereira, M. E. S., DeRose, J., Diehl, H. T., Dodelson, S., Drlica-Wagner, A., Elvin-Poole, J., Everett, S., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Gruen, D., Gruendl, R. A., Gutierrez, G., Harrison, I., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Jarvis, M., Jeltema, T., Kuehn, K., Lahav, O., Lee, S., Lidman, C., MacCrann, N., Marshall, J. L., McCullough, J., Mena-Fernández, J., Miquel, R., Myles, J., Navarro-Alsina, A., Palmese, A., Pandey, S., Paterno, M., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Rodriguez-Monroy, M., Rollins, R. P., Ross, A. J., Rykoff, E. S., Samuroff, S., Sánchez, C., Sanchez, E., Cid, D. Sanchez, Schubnell, M., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Troxel, M. A., Tutusaus, I., Weaverdyck, N., Wiseman, P., Yanny, B., and Yin, B.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present the joint tomographic analysis of galaxy-galaxy lensing and galaxy clustering in harmonic space, using galaxy catalogues from the first three years of observations by the Dark Energy Survey (DES Y3). We utilise the redMaGiC and MagLim catalogues as lens galaxies and the METACALIBRATION catalogue as source galaxies. The measurements of angular power spectra are performed using the pseudo-$C_\ell$ method, and our theoretical modelling follows the fiducial analyses performed by DES Y3 in configuration space, accounting for galaxy bias, intrinsic alignments, magnification bias, shear magnification bias and photometric redshift uncertainties. We explore different approaches for scale cuts based on non-linear galaxy bias and baryonic effects contamination. Our fiducial covariance matrix is computed analytically, accounting for mask geometry in the Gaussian term, and including non-Gaussian contributions and super-sample covariance terms. To validate our harmonic space pipelines and covariance matrix, we used a suite of 1800 log-normal simulations. We also perform a series of stress tests to gauge the robustness of our harmonic space analysis. In the $\Lambda$CDM model, the clustering amplitude $S_8 =\sigma_8(\Omega_m/0.3)^{0.5}$ is constrained to $S_8 = 0.704\pm 0.029$ and $S_8 = 0.753\pm 0.024$ ($68\%$ C.L.) for the redMaGiC and MagLim catalogues, respectively. For the $w$CDM, the dark energy equation of state is constrained to $w = -1.28 \pm 0.29$ and $w = -1.26^{+0.34}_{-0.27}$, for redMaGiC and MagLim catalogues, respectively. These results are compatible with the corresponding DES Y3 results in configuration space and pave the way for harmonic space analyses using the DES Y6 data., Comment: To be submitted to MNRAS
Published: 2024

20. The Dark Energy Survey Supernova Program: Light curves and 5-Year data release

Author: Sánchez, B. O., Brout, D., Vincenzi, M., Sako, M., Herner, K., Kessler, R., Davis, T. M., Scolnic, D., Acevedo, M., Lee, J., Möller, A., Qu, H., Kelsey, L., Wiseman, P., Armstrong, P., Rose, B., Camilleri, R., Chen, R., Galbany, L., Kovacs, E., Lidman, C., Popovic, B., Smith, M., Sullivan, M., Toy, M., Carollo, D., Glazebrook, K., Lewis, G. F., Nichol, R. C., Tucker, B. E., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Annis, J., Asorey, J., Avila, S., Bacon, D., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., Castander, F. J., da Costa, L. N., Duarte, J., Pereira, M. E. S., Desai, S., Diehl, H. T., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Lee, S., Lin, H., Marshall, J. L., Mena-Fernández, J., Miquel, R., Myles, J., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Romer, A. K., Sanchez, E., Cid, D. Sanchez, Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, D. L., Vikram, V., Walker, A. R., and Weaverdyck, N.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present $griz$ photometric light curves for the full 5 years of the Dark Energy Survey Supernova program (DES-SN), obtained with both forced Point Spread Function (PSF) photometry on Difference Images (DIFFIMG) performed during survey operations, and Scene Modelling Photometry (SMP) on search images processed after the survey. This release contains $31,636$ DIFFIMG and $19,706$ high-quality SMP light curves, the latter of which contains $1635$ photometrically-classified supernovae that pass cosmology quality cuts. This sample spans the largest redshift ($z$) range ever covered by a single SN survey ($0.1
Published: 2024

21. The Dark Energy Survey Supernova Program: Investigating Beyond-$\Lambda$CDM

Author: Camilleri, R., Davis, T. M., Vincenzi, M., Shah, P., Frieman, J., Kessler, R., Armstrong, P., Brout, D., Carr, A., Chen, R., Galbany, L., Glazebrook, K., Hinton, S. R., Lee, J., Lidman, C., Möller, A., Popovic, B., Qu, H., Sako, M., Scolnic, D., Smith, M., Sullivan, M., Sánchez, B. O., Taylor, G., Toy, M., Wiseman, P., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Annis, J., Avila, S., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., Castander, F. J., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Doel, P., Doux, C., Everett, S., Ferrero, I., Flaugher, B., Fosalba, P., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Gruen, D., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernández, J., Miquel, R., Muir, J., Myles, J., Ogando, R. L. C., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Rodriguez-Monroy, M., Sanchez, E., Cid, D. Sanchez, Schubnell, M., Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarle, G., Walker, A. R., and Weaverdyck, N.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We report constraints on a variety of non-standard cosmological models using the full 5-year photometrically-classified type Ia supernova sample from the Dark Energy Survey (DES-SN5YR). Both Akaike Information Criterion (AIC) and Suspiciousness calculations find no strong evidence for or against any of the non-standard models we explore. When combined with external probes, the AIC and Suspiciousness agree that 11 of the 15 models are moderately preferred over Flat-$\Lambda$CDM suggesting additional flexibility in our cosmological models may be required beyond the cosmological constant. We also provide a detailed discussion of all cosmological assumptions that appear in the DES supernova cosmology analyses, evaluate their impact, and provide guidance on using the DES Hubble diagram to test non-standard models. An approximate cosmological model, used to perform bias corrections to the data holds the biggest potential for harbouring cosmological assumptions. We show that even if the approximate cosmological model is constructed with a matter density shifted by $\Delta\Omega_m\sim0.2$ from the true matter density of a simulated data set the bias that arises is sub-dominant to statistical uncertainties. Nevertheless, we present and validate a methodology to reduce this bias., Comment: Published to MNRAS on 20 August 2024; v2 updates to the accepted version
Published: 2024
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22. Modelling the impact of host galaxy dust on type Ia supernova distance measurements

Author: Popovic, B., Wiseman, P., Sullivan, M., Smith, M., González-Gaitán, S., Scolnic, D., Duarte, J., Armstrong, P., Asorey, J., Brout, D., Carollo, D., Galbany, L., Glazebrook, K., Kelsey, L., Kessler, R., Lidman, C., Lee, J., Lewis, G. F., Möller, A., Nichol, R. C., Sánchez, B. O., Toy, M., Tucker, B. E., Vincenzi, M., Abbott, T. M. C., Aguena, M., Andrade-Oliveira, F., Bacon, D., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., Castander, F. J., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Desai, S., Everett, S., Ferrero, I., Flaugher, B., García-Bellido, J., Gaztanaga, E., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernández, J., Miquel, R., Myles, J., Ogando, R. L. C., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Sanchez, E., Cid, D. Sanchez, Schubnell, M., Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarle, G., Vikram, V., and Weaverdyck, N.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Type Ia Supernovae (SNe Ia) are a critical tool in measuring the accelerating expansion of the universe. Recent efforts to improve these standard candles have focused on incorporating the effects of dust on distance measurements with SNe Ia. In this paper, we use the state-of-the-art Dark Energy Survey 5 year sample to evaluate two different families of dust models: empirical extinction models derived from SNe Ia data, and physical attenuation models from the spectra of galaxies. Among the SNe Ia-derived models, we find that a logistic function of the total-to-selective extinction RV best recreates the correlations between supernova distance measurements and host galaxy properties, though an additional 0.02 magnitudes of grey scatter are needed to fully explain the scatter in SNIa brightness in all cases. These empirically-derived extinction distributions are highly incompatible with the physical attenuation models from galactic spectral measurements. From these results, we conclude that SNe Ia must either preferentially select extreme ends of galactic dust distributions, or that the characterisation of dust along the SNe Ia line-of-sight is incompatible with that of galactic dust distributions.
Published: 2024

23. The Dark Energy Survey Supernova Program: Slow supernovae show cosmological time dilation out to $z \sim 1$

Author: White, R. M. T., Davis, T. M., Lewis, G. F., Brout, D., Galbany, L., Glazebrook, K., Hinton, S. R., Lee, J., Lidman, C., Möller, A., Sako, M., Scolnic, D., Smith, M., Sullivan, M., Sánchez, B. O., Shah, P., Vincenzi, M., Wiseman, P., Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Asorey, J., Bacon, D., Bocquet, S., Brooks, D., Buckley-Geer, E., Burke, D. L., Rosell, A. Carnero, Carollo, D., Carretero, J., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannini, G., Gruendl, R. A., Hollowood, D. L., Honscheid, K., James, D. J., Kessler, R., Kuehn, K., Lahav, O., Lee, S., Lima, M., Marshall, J. L., Mena-Fernández, J., Miquel, R., Myles, J., Nichol, R. C., Ogando, R. L. C., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Sanchez, E., Cid, D. Sanchez, Schubnell, M., Suchyta, E., Tarle, G., Tucker, B. E., Walker, A. R., and Weaverdyck, N.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - High Energy Astrophysical Phenomena
Abstract: We present a precise measurement of cosmological time dilation using the light curves of 1504 type Ia supernovae from the Dark Energy Survey spanning a redshift range $0.1\lesssim z\lesssim 1.2$. We find that the width of supernova light curves is proportional to $(1+z)$, as expected for time dilation due to the expansion of the Universe. Assuming type Ia supernovae light curves are emitted with a consistent duration $\Delta t_{\rm em}$, and parameterising the observed duration as $\Delta t_{\rm obs}=\Delta t_{\rm em}(1+z)^b$, we fit for the form of time dilation using two methods. Firstly, we find that a power of $b \approx 1$ minimises the flux scatter in stacked subsamples of light curves across different redshifts. Secondly, we fit each target supernova to a stacked light curve (stacking all supernovae with observed bandpasses matching that of the target light curve) and find $b=1.003\pm0.005$ (stat) $\pm\,0.010$ (sys). Thanks to the large number of supernovae and large redshift-range of the sample, this analysis gives the most precise measurement of cosmological time dilation to date, ruling out any non-time-dilating cosmological models at very high significance., Comment: 14 pages, 13 figures. Updated in response to reviewer feedback. Accepted for publication in the Monthly Notices of the Royal Astronomical Society (MNRAS)
Published: 2024

24. The Dark Energy Survey Supernova Program: An updated measurement of the Hubble constant using the Inverse Distance Ladder

Author: Camilleri, R., Davis, T. M., Hinton, S. R., Armstrong, P., Brout, D., Galbany, L., Glazebrook, K., Lee, J., Lidman, C., Nichol, R. C., Sako, M., Scolnic, D., Shah, P., Smith, M., Sullivan, M., Sánchez, B. O., Vincenzi, M., Wiseman, P., Allam, S., Abbott, T. M. C., Aguena, M., Andrade-Oliveira, F., Asorey, J., Avila, S., Bacon, D., Bechtol, K., Bocquet, S., Brooks, D., Buckley-Geer, E., Burke, D. L., Rosell, A. Carnero, Carollo, D., Carretero, J., Castander, F. J., Conselice, C., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannini, G., Gruendl, R. A., Herner, K., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kent, S., Kuehn, K., Lahav, O., Lee, S., Lewis, G. F., Lima, M., Marshall, J. L., Mena-Fernández, J., Miquel, R., Myles, J., Ogando, R. L. C., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Roodman, A., Samuroff, S., Sanchez, E., Cid, D. Sanchez, Schubnell, M., Sevilla-Noarbe, I., Suchyta, E., Suntzeff, N., Swanson, M. E. C., Tarle, G., Tucker, B. E., Walker, A. R., and Weaverdyck, N.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We measure the current expansion rate of the Universe, Hubble's constant $H_0$, by calibrating the absolute magnitudes of supernovae to distances measured by Baryon Acoustic Oscillations. This `inverse distance ladder' technique provides an alternative to calibrating supernovae using nearby absolute distance measurements, replacing the calibration with a high-redshift anchor. We use the recent release of 1829 supernovae from the Dark Energy Survey spanning $0.01\lt z \lt1.13$ anchored to the recent Baryon Acoustic Oscillation measurements from DESI spanning $0.30 \lt z_{\mathrm{eff}} \lt 2.33$. To trace cosmology to $z=0$, we use the third-, fourth- and fifth-order cosmographic models, which, by design, are agnostic about the energy content and expansion history of the universe. With the inclusion of the higher-redshift DESI-BAO data, the third-order model is a poor fit to both data sets, with the fourth-order model being preferred by the Akaike Information Criterion. Using the fourth-order cosmographic model, we find $H_0=67.19^{+0.66}_{-0.64}\mathrm{~km} \mathrm{~s}^{-1} \mathrm{~Mpc}^{-1}$, in agreement with the value found by Planck without the need to assume Flat-$\Lambda$CDM. However the best-fitting expansion history differs from that of Planck, providing continued motivation to investigate these tensions.
Published: 2024

25. Dark Energy Survey Year 3 results: simulation-based cosmological inference with wavelet harmonics, scattering transforms, and moments of weak lensing mass maps II. Cosmological results

Author: Gatti, M., Campailla, G., Jeffrey, N., Whiteway, L., Porredon, A., Prat, J., Williamson, J., Raveri, M., Jain, B., Ajani, V., Giannini, G., Yamamoto, M., Zhou, C., Blazek, J., Anbajagane, D., Samuroff, S., Kacprzak, T., Alarcon, A., Amon, A., Bechtol, K., Becker, M., Bernstein, G., Campos, A., Chang, C., Chen, R., Choi, A., Davis, C., Derose, J., Diehl, H. T., Dodelson, S., Doux, C., Eckert, K., Elvin-Poole, J., Everett, S., Ferte, A., Gruen, D., Gruendl, R., Harrison, I., Hartley, W. G., Herner, K., Huff, E. M., Jarvis, M., Kuropatkin, N., Leget, P. F., MacCrann, N., McCullough, J., Myles, J., Navarro-Alsina, A., Pandey, S., Rollins, R. P., Roodman, A., Sanchez, C., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M., Tutusaus, I., Varga, T. N., Yanny, B., Yin, B., Zhang, Y., Zuntz, J., Abbott, T. M. C., Aguena, M., Allam, S. S., Alves, O., Andrade-Oliveira, F., Bacon, D., Bocquet, S., Brooks, D., Rosell, A. Carnero, Carretero, J., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Ferrero, I., Frieman, J., García-Bellido, J., Gaztanaga, E., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernández, J., Miquel, R., Pieres, A., Malagón, A. A. Plazas, Sanchez, E., Cid, D. Sanchez, Schubnell, M., Smith, M., Suchyta, E., Tarle, G., Weaverdyck, N., Weller, J., and Wiseman, P.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present a simulation-based cosmological analysis using a combination of Gaussian and non-Gaussian statistics of the weak lensing mass (convergence) maps from the first three years (Y3) of the Dark Energy Survey (DES). We implement: 1) second and third moments; 2) wavelet phase harmonics; 3) the scattering transform. Our analysis is fully based on simulations, spans a space of seven $\nu w$CDM cosmological parameters, and forward models the most relevant sources of systematics inherent in the data: masks, noise variations, clustering of the sources, intrinsic alignments, and shear and redshift calibration. We implement a neural network compression of the summary statistics, and we estimate the parameter posteriors using a simulation-based inference approach. Including and combining different non-Gaussian statistics is a powerful tool that strongly improves constraints over Gaussian statistics (in our case, the second moments); in particular, the Figure of Merit $\textrm{FoM}(S_8, \Omega_{\textrm{m}})$ is improved by 70 percent ($\Lambda$CDM) and 90 percent ($w$CDM). When all the summary statistics are combined, we achieve a 2 percent constraint on the amplitude of fluctuations parameter $S_8 \equiv \sigma_8 (\Omega_{\textrm{m}}/0.3)^{0.5}$, obtaining $S_8 = 0.794 \pm 0.017$ ($\Lambda$CDM) and $S_8 = 0.817 \pm 0.021$ ($w$CDM). The constraints from different statistics are shown to be internally consistent (with a $p$-value>0.1 for all combinations of statistics examined). We compare our results to other weak lensing results from the DES Y3 data, finding good consistency; we also compare with results from external datasets, such as \planck{} constraints from the Cosmic Microwave Background, finding statistical agreement, with discrepancies no greater than $<2.2\sigma$., Comment: 24 pages, 13 figures, to be submitted to PRD. Comments welcome!
Published: 2024

26. Weak lensing combined with the kinetic Sunyaev Zel'dovich effect: A study of baryonic feedback

Author: Bigwood, L., Amon, A., Schneider, A., Salcido, J., McCarthy, I. G., Preston, C., Sanchez, D., Sijacki, D., Schaan, E., Ferraro, S., Battaglia, N., Chen, A., Dodelson, S., Roodman, A., Pieres, A., Ferte, A., Alarcon, A., Drlica-Wagner, A., Choi, A., Navarro-Alsina, A., Campos, A., Ross, A. J., Rosell, A. Carnero, Yin, B., Yanny, B., Sanchez, C., Chang, C., Davis, C., Doux, C., Gruen, D., Rykoff, E. S., Huff, E. M., Sheldon, E., Tarsitano, F., Andrade-Oliveira, F., Bernstein, G. M., Giannini, G., Diehl, H. T., Huang, H., Harrison, I., Sevilla-Noarbe, I., Tutusaus, I., Elvin-Poole, J., McCullough, J., Zuntz, J., Blazek, J., DeRose, J., Cordero, J., Prat, J., Myles, J., Eckert, K., Bechtol, K., Herner, K., Secco, L. F., Gatti, M., Raveri, M., Kind, M. Carrasco, Becker, M. R., Troxel, M. A., Jarvis, M., MacCrann, N., Friedrich, O., Alves, O., Leget, P. -F., Chen, R., Rollins, R. P., Wechsler, R. H., Gruendl, R. A., Cawthon, R., Allam, S., Bridle, S. L., Pandey, S., Everett, S., Shin, T., Hartley, W. G., Fang, X., Zhang, Y., Aguena, M., Annis, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Carretero, J., Castander, F. J., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Doel, P., Ferrero, I., Flaugher, B., Frieman, J., Garcia-Bellido, J., Gaztanaga, E., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kuehn, K., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernandez, J., Miquel, R., Muir, J., Paterno, M., Malagon, A. A. Plazas, Porredon, A., Romer, A. K., Samuroff, S., Sanchez, E., Cid, D. Sanchez, Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., Wiseman, P., and Yamamoto, M.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies
Abstract: Extracting precise cosmology from weak lensing surveys requires modelling the non-linear matter power spectrum, which is suppressed at small scales due to baryonic feedback processes. However, hydrodynamical galaxy formation simulations make widely varying predictions for the amplitude and extent of this effect. We use measurements of Dark Energy Survey Year 3 weak lensing (WL) and Atacama Cosmology Telescope DR5 kinematic Sunyaev-Zel'dovich (kSZ) to jointly constrain cosmological and astrophysical baryonic feedback parameters using a flexible analytical model, `baryonification'. First, using WL only, we compare the $S_8$ constraints using baryonification to a simulation-calibrated halo model, a simulation-based emulator model and the approach of discarding WL measurements on small angular scales. We find that model flexibility can shift the value of $S_8$ and degrade the uncertainty. The kSZ provides additional constraints on the astrophysical parameters and shifts $S_8$ to $S_8=0.823^{+0.019}_{-0.020}$, a higher value than attained using the WL-only analysis. We measure the suppression of the non-linear matter power spectrum using WL + kSZ and constrain a mean feedback scenario that is more extreme than the predictions from most hydrodynamical simulations. We constrain the baryon fractions and the gas mass fractions and find them to be generally lower than inferred from X-ray observations and simulation predictions. We conclude that the WL + kSZ measurements provide a new and complementary benchmark for building a coherent picture of the impact of gas around galaxies across observations.
Published: 2024

27. Mass calibration of DES Year-3 clusters via SPT-3G CMB cluster lensing

Author: Ansarinejad, B., Raghunathan, S., Abbott, T. M. C., Ade, P. A. R., Aguena, M., Alves, O., Anderson, A. J., Andrade-Oliveira, F., Archipley, M., Balkenhol, L., Benabed, K., Bender, A. N., Benson, B. A., Bertin, E., Bianchini, F., Bleem, L. E., Bocquet, S., Bouchet, F. R., Brooks, D., Bryant, L., Burke, D. L., Camphuis, E., Carlstrom, J. E., Rosell, A. Carnero, Carretero, J., Castander, F. J., Cecil, T. W., Chang, C. L., Chaubal, P., Chichura, P. M., Chou, T. -L., Coerver, A., Costanzi, M., Crawford, T. M., Cukierman, A., da Costa, L. N., Daley, C., Davis, T. M., de Haan, T., Desai, S., De Vicente, J., Dibert, K. R., Dobbs, M. A., Doel, P., Doussot, A., Doux, C., Dutcher, D., Everett, W., Feng, C., Ferguson, K. R., Ferrero, I., Fichman, K., Foster, A., Frieman, J., Galli, S., Gambrel, A. E., García-Bellido, J., Gardner, R. W., Gaztanaga, E., Ge, F., Giannini, G., Goeckner-Wald, N., Grandis, S., Gruendl, R. A., Gualtieri, R., Guidi, F., Guns, S., Gutierrez, G., Halverson, N. W., Hinton, S. R., Hivon, E., Holder, G. P., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Hood, J. C., Huang, N., James, D. J., Kéruzoré, F., Knox, L., Korman, M., Kuo, C. -L., Lee, A. T., Lee, S., Levy, K., Lowitz, A. E., Lu, C., Maniyar, A., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Millea, M., Mohr, J. J., Montgomery, J., Nakato, Y., Natoli, T., Noble, G. I., Novosad, V., Ogando, R. L. C., Omori, Y., Padin, S., Palmese, A., Pan, Z., Paschos, P., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Prabhu, K., Quan, W., Rahlin, A., Rahimi, M., Reichardt, C. L., Reil, K., Romer, A. K., Rouble, M., Ruhl, J. E., Sanchez, E., Cid, D. Sanchez, Schiappucci, E., Sevilla-Noarbe, I., Smecher, G., Smith, M., Sobrin, J. A., Stark, A. A., Stephen, J., Suchyta, E., Suzuki, A., Swanson, M. E. C., Tandoi, C., Tarle, G., Thompson, K. L., Thorne, B., Trendafilova, C., Tucker, C., Umilta, C., Vieira, J. D., Wang, G., Weaverdyck, N., Whitehorn, N., Wiseman., P., Wu, W. L. K., Yefremenko, V., Young, M. R., and Zebrowski, J. A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We measure the stacked lensing signal in the direction of galaxy clusters in the Dark Energy Survey Year 3 (DES Y3) redMaPPer sample, using cosmic microwave background (CMB) temperature data from SPT-3G, the third-generation CMB camera on the South Pole Telescope (SPT). We estimate the lensing signal using temperature maps constructed from the initial 2 years of data from the SPT-3G 'Main' survey, covering 1500 deg$^2$ of the Southern sky. We then use this signal as a proxy for the mean cluster mass of the DES sample. In this work, we employ three versions of the redMaPPer catalogue: a Flux-Limited sample containing 8865 clusters, a Volume-Limited sample with 5391 clusters, and a Volume&Redshift-Limited sample with 4450 clusters. For the three samples, we find the mean cluster masses to be ${M}_{200{\rm{m}}}=1.66\pm0.13$ [stat.]$\pm0.03$ [sys.], $1.97\pm0.18$ [stat.]$\pm0.05$ [sys.], and $2.11\pm0.20$ [stat.]$\pm0.05$ [sys.]$\times{10}^{14}\ {\rm{M}}_{\odot }$, respectively. This is a factor of $\sim2$ improvement relative to the precision of measurements with previous generations of SPT surveys and the most constraining cluster mass measurements using CMB cluster lensing to date. Overall, we find no significant tensions between our results and masses given by redMaPPer mass-richness scaling relations of previous works, which were calibrated using CMB cluster lensing, optical weak lensing, and velocity dispersion measurements from various combinations of DES, SDSS and Planck data. We then divide our sample into 3 redshift and 3 richness bins, finding no significant tensions with optical weak-lensing calibrated masses in these bins. We forecast a $5.7\%$ constraint on the mean cluster mass of the DES Y3 sample with the complete SPT-3G surveys when using both temperature and polarization data and including an additional $\sim1400$ deg$^2$ of observations from the 'Extended' SPT-3G survey., Comment: 23 pages, 9 figures, accepted for publication in JCAP. Minor changes and corrections have been made relative to v1
Published: 2024

28. Cohesion and Shear Strength of Compacted Lunar and Martian Regolith Simulants

Author: Dotson, B., Valencia, D. Sanchez, Millwater, C., Easter, P., Long-Fox, J., Britt, D., and Metzger, P.
Subjects: Physics - Space Physics, Astrophysics - Earth and Planetary Astrophysics
Abstract: Shear strength and cohesion of granular materials are important geotechnical properties that play a crucial role in the stability and behavior of lunar and Martian regolith, as well as their terrestrial analog materials. To characterize and predict shear strength and cohesion for future space missions, it is also important to understand the effects of particle size distribution and density on these fundamental geotechnical properties. Generalized equations have been established using empirical data from direct shear measurements of lunar and Martian regolith simulants to quantify the effects of particle size distribution and density on cohesion and shear strength. Preliminary results are also presented highlighting the effects of atmospheric absorbed water on shear strength and cohesion when conducting experiments in atmospheric conditions on Earth. The results of this study show that cohesion increases exponentially with bulk density, while the exponential growth constant is also dependent on particle size distribution.
Published: 2024

29. Dark Energy Survey Year 3 results: likelihood-free, simulation-based $w$CDM inference with neural compression of weak-lensing map statistics

Author: Jeffrey, N., Whiteway, L., Gatti, M., Williamson, J., Alsing, J., Porredon, A., Prat, J., Doux, C., Jain, B., Chang, C., Cheng, T. -Y., Kacprzak, T., Lemos, P., Alarcon, A., Amon, A., Bechtol, K., Becker, M. R., Bernstein, G. M., Campos, A., Rosell, A. Carnero, Chen, R., Choi, A., DeRose, J., Drlica-Wagner, A., Eckert, K., Everett, S., Ferté, A., Gruen, D., Gruendl, R. A., Herner, K., Jarvis, M., McCullough, J., Myles, J., Navarro-Alsina, A., Pandey, S., Raveri, M., Rollins, R. P., Rykoff, E. S., Sánchez, C., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M. A., Tutusaus, I., Varga, T. N., Yanny, B., Yin, B., Zuntz, J., Aguena, M., Allam, S. S., Alves, O., Bacon, D., Bocquet, S., Brooks, D., da Costa, L. N., Davis, T. M., De Vicente, J., Desai, S., Diehl, H. T., Ferrero, I., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannini, G., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernández, J., Miquel, R., Pieres, A., Malagón, A. A. Plazas, Roodman, A., Sako, M., Sanchez, E., Cid, D. Sanchez, Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, D. L., Weaverdyck, N., Weller, J., Wiseman, P., and Yamamoto, M.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present simulation-based cosmological $w$CDM inference using Dark Energy Survey Year 3 weak-lensing maps, via neural data compression of weak-lensing map summary statistics: power spectra, peak counts, and direct map-level compression/inference with convolutional neural networks (CNN). Using simulation-based inference, also known as likelihood-free or implicit inference, we use forward-modelled mock data to estimate posterior probability distributions of unknown parameters. This approach allows all statistical assumptions and uncertainties to be propagated through the forward-modelled mock data; these include sky masks, non-Gaussian shape noise, shape measurement bias, source galaxy clustering, photometric redshift uncertainty, intrinsic galaxy alignments, non-Gaussian density fields, neutrinos, and non-linear summary statistics. We include a series of tests to validate our inference results. This paper also describes the Gower Street simulation suite: 791 full-sky PKDGRAV dark matter simulations, with cosmological model parameters sampled with a mixed active-learning strategy, from which we construct over 3000 mock DES lensing data sets. For $w$CDM inference, for which we allow $-1
Published: 2024

30. UC experts can lead on carbon dioxide removal

Author: D Sanchez, B Houlton, and W Silver
Subjects: Agriculture
Abstract: Through technology demonstration and policy engagement, UC ANR specialists, advisors and AES faculty can support California's ambitions to remove CO2 from the atmosphere.
Published: 2019
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31. The Dark Energy Survey 5-year photometrically classified type Ia supernovae without host-galaxy redshifts

Author: Möller, A., Wiseman, P., Smith, M., Lidman, C., Davis, T. M., Kessler, R., Sako, M., Sullivan, M., Galbany, L., Lee, J., Nichol, R. C., Sánchez, B. O., Vincenzi, M., Tucker, B. E., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Andrade-Oliveira, F., Bacon, D., Bertin, E., Brooks, D., Rosell, A. Carnero, Castander, F. J., Desai, S., Diehl, H. T., Everett, S., Ferrero, I., Friedel, D., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannini, G., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Myles, J., Ogando, R. L. C., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Roodman, A., Sanchez, E., Cid, D. Sanchez, Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, D. L., Walker, A. R., Weaverdyck, N., da Costa, L. N., and Pereira, M. E. S.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Current and future Type Ia Supernova (SN Ia) surveys will need to adopt new approaches to classifying SNe and obtaining their redshifts without spectra if they wish to reach their full potential. We present here a novel approach that uses only photometry to identify SNe Ia in the 5-year Dark Energy Survey (DES) dataset using the SuperNNova classifier. Our approach, which does not rely on any information from the SN host-galaxy, recovers SNe Ia that might otherwise be lost due to a lack of an identifiable host. We select 2,298 high-quality SNe Ia from the DES 5-year dataset an almost complete sample of detected SNe Ia. More than 700 of these have no spectroscopic host redshift and are potentially new SNIa compared to the DES-SN5YR cosmology analysis. To analyse these SNe Ia, we derive their redshifts and properties using only their light-curves with a modified version of the SALT2 light-curve fitter. Compared to other DES SN Ia samples with spectroscopic redshifts, our new sample has in average higher redshift, bluer and broader light-curves, and fainter host-galaxies. Future surveys such as LSST will also face an additional challenge, the scarcity of spectroscopic resources for follow-up. When applying our novel method to DES data, we reduce the need for follow-up by a factor of four and three for host-galaxy and live SN respectively compared to earlier approaches. Our novel method thus leads to better optimisation of spectroscopic resources for follow-up., Comment: Accepted MNRAS
Published: 2024

32. Dark Energy Survey: Galaxy Sample for the Baryonic Acoustic Oscillation Measurement from the Final Dataset

Author: Mena-Fernández, J., Rodríguez-Monroy, M., Avila, S., Porredon, A., Chan, K. C., Camacho, H., Weaverdyck, N., Sevilla-Noarbe, I., Sanchez, E., Cipriano, L. Toribio San, De Vicente, J., Ferrero, I., Cawthon, R., Rosell, A. Carnero, Elvin-Poole, J., Giannini, G., Adamow, M., Bechtol, K., Drlica-Wagner, A., Gruendl, R. A., Hartley, W. G., Pieres, A., Ross, A. J., Rykoff, E. S., Sheldon, E., Yanny, B., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Annis, J., Bacon, D., Blazek, J., Bocquet, S., Brooks, D., Carretero, J., Castander, F. J., Conselice, C., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Deiosso, N., Desai, S., Diehl, H. T., Dodelson, S., Doux, C., Everett, S., Frieman, J., García-Bellido, J., Gaztanaga, E., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Kuehn, K., Lahav, O., Lee, S., Lidman, C., Lin, H., Marshall, J. L., Menanteau, F., Miquel, R., Myles, J., Ogando, R. L. C., Palmese, A., Percival, W. J., Malagón, A. A. Plazas, Roodman, A., Rosenfeld, R., Samuroff, S., Cid, D. Sanchez, Santiago, B., Schubnell, M., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Tucker, D. L., Walker, A. R., Weller, J., Wiseman, P., and Yamamoto, M.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: In this paper we present and validate the galaxy sample used for the analysis of the baryon acoustic oscillation (BAO) signal in the Dark Energy Survey (DES) Y6 data. The definition is based on a color and redshift-dependent magnitude cut optimized to select galaxies at redshifts higher than 0.6, while ensuring a high-quality photo-$z$ determination. The optimization is performed using a Fisher forecast algorithm, finding the optimal $i$-magnitude cut to be given by $i$<19.64+2.894$z_{\rm ph}$. For the optimal sample, we forecast an increase in precision in the BAO measurement of $\sim$25% with respect to the Y3 analysis. Our BAO sample has a total of 15,937,556 galaxies in the redshift range 0.6<$z_{\rm ph}$<1.2, and its angular mask covers 4,273.42 deg${}^2$ to a depth of $i$=22.5. We validate its redshift distributions with three different methods: directional neighborhood fitting algorithm (DNF), which is our primary photo-$z$ estimation; direct calibration with spectroscopic redshifts from VIPERS; and clustering redshift using SDSS galaxies. The fiducial redshift distribution is a combination of these three techniques performed by modifying the mean and width of the DNF distributions to match those of VIPERS and clustering redshift. In this paper we also describe the methodology used to mitigate the effect of observational systematics, which is analogous to the one used in the Y3 analysis. This paper is one of the two dedicated to the analysis of the BAO signal in DES Y6. In its companion paper, we present the angular diameter distance constraints obtained through the fitting to the BAO scale., Comment: 23 pages, 10 figures. Submitted to PRD
Published: 2024

33. Dark Energy Survey: A 2.1% measurement of the angular Baryonic Acoustic Oscillation scale at redshift $z_{\rm eff}$=0.85 from the final dataset

Author: DES Collaboration, Abbott, T. M. C., Adamow, M., Aguena, M., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Asorey, J., Avila, S., Bacon, D., Bechtol, K., Bernstein, G. M., Bertin, E., Blazek, J., Bocquet, S., Brooks, D., Burke, D. L., Camacho, H., Rosell, A. Carnero, Carollo, D., Carretero, J., Castander, F. J., Cawthon, R., Chan, K. C., Chang, C., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., De Vicente, J., Deiosso, N., Desai, S., Diehl, H. T., Dodelson, S., Doux, C., Drlica-Wagner, A., Elvin-Poole, J., Everett, S., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannini, G., Gruendl, R. A., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kent, S., Kuehn, K., Lahav, O., Lee, S., Lidman, C., Lin, H., Marshall, J. L., Martini, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Mohr, J. J., Myles, J., Nichol, R. C., Ogando, R. L. C., Palmese, A., Percival, W. J., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Rodríguez-Monroy, M., Romer, A. K., Roodman, A., Rosenfeld, R., Ross, A. J., Rykoff, E. S., Sako, M., Samuroff, S., Sánchez, C., Sanchez, E., Cid, D. Sanchez, Santiago, B., Schubnell, M., Sevilla-Noarbe, I., Sheldon, E., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Cipriano, L. Toribio San, Troxel, M. A., Tucker, B. E., Tucker, D. L., Walker, A. R., Weaverdyck, N., Weller, J., Wiseman, P., and Yanny, B.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present the angular diameter distance measurement obtained with the Baryonic Acoustic Oscillation feature from galaxy clustering in the completed Dark Energy Survey, consisting of six years (Y6) of observations. We use the Y6 BAO galaxy sample, optimized for BAO science in the redshift range 0.6<$z$<1.2, with an effective redshift at $z_{\rm eff}$=0.85 and split into six tomographic bins. The sample has nearly 16 million galaxies over 4,273 square degrees. Our consensus measurement constrains the ratio of the angular distance to sound horizon scale to $D_M(z_{\rm eff})/r_d$ = 19.51$\pm$0.41 (at 68.3% confidence interval), resulting from comparing the BAO position in our data to that predicted by Planck $\Lambda$CDM via the BAO shift parameter $\alpha=(D_M/r_d)/(D_M/r_d)_{\rm Planck}$. To achieve this, the BAO shift is measured with three different methods, Angular Correlation Function (ACF), Angular Power Spectrum (APS), and Projected Correlation Function (PCF) obtaining $\alpha=$ 0.952$\pm$0.023, 0.962$\pm$0.022, and 0.955$\pm$0.020, respectively, which we combine to $\alpha=$ 0.957$\pm$0.020, including systematic errors. When compared with the $\Lambda$CDM model that best fits Planck data, this measurement is found to be 4.3% and 2.1$\sigma$ below the angular BAO scale predicted. To date, it represents the most precise angular BAO measurement at $z$>0.75 from any survey and the most precise measurement at any redshift from photometric surveys. The analysis was performed blinded to the BAO position and it is shown to be robust against analysis choices, data removal, redshift calibrations and observational systematics., Comment: Submitted to PRD, 39 pages, 12 figures
Published: 2024

34. Copacabana: A Probabilistic Membership Assignment Method for Galaxy Clusters

Author: Esteves, J. H., Pereira, M. E. S., Soares-Santos, M., Annis, J., Farahi, A., Andrade-Oliveira, F., Barchi, P., Palmese, A., Lin, H., Welch, B., Wu, H. -Y., Aguena, M., Bacon, O. Alves D., Bocquet, S., Brooks, D., Rosell, A. Carnero, Carretero, J., Costanzi, M., da Costa, L. N., De Vicente, J., Doel, P., Everett, S., Flaugher, B., Frieman, J., García-Bellido, J., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lidman, C., Lima, M., Marshall, J. L., Mena-Fernández, J., Miquel, R., Myles, J., Ogando, R. L. C., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Sanchez, E., Cid, D. Sanchez, Santiago, B., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Weaverdyck, N., Wiseman, P., Yamamoto, M., and collaboration, DES
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies
Abstract: Cosmological analyses using galaxy clusters in optical/NIR photometric surveys require robust characterization of their galaxy content. Precisely determining which galaxies belong to a cluster is crucial. In this paper, we present the COlor Probabilistic Assignment of Clusters And BAyesiaN Analysis (Copacabana) algorithm. Copacabana computes membership probabilities for {\it all} galaxies within an aperture centred on the cluster using photometric redshifts, colours, and projected radial probability density functions. We use simulations to validate Copacabana and we show that it achieves up to 89\% membership accuracy with a mild dependency on photometric redshift uncertainties and choice of aperture size. We find that the precision of the photometric redshifts has the largest impact on the determination of the membership probabilities followed by the choice of the cluster aperture size. We also quantify how much these uncertainties in the membership probabilities affect the stellar mass--cluster mass scaling relation, a relation that directly impacts cosmology. Using the sum of the stellar masses weighted by membership probabilities ($\mu_{\star}$) as the observable, we find that Copacabana can reach an accuracy of 0.06 dex in the measurement of the scaling relation. These results indicate the potential of Copacabana and $\mu_{\star}$ to be used in cosmological analyses of optically selected clusters in the future., Comment: 14 pages, 10 figures, submitted to MNRAS
Published: 2024

35. The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties

Author: Vincenzi, M., Brout, D., Armstrong, P., Popovic, B., Taylor, G., Acevedo, M., Camilleri, R., Chen, R., Davis, T. M., Hinton, S. R., Kelsey, L., Kessler, R., Lee, J., Lidman, C., Möller, A., Qu, H., Sako, M., Sanchez, B., Scolnic, D., Smith, M., Sullivan, M., Wiseman, P., Asorey, J., Bassett, B. A., Carollo, D., Carr, A., Foley, R. J., Frohmaier, C., Galbany, L., Glazebrook, K., Graur, O., Kovacs, E., Kuehn, K., Malik, U., Nichol, R. C., Rose, B., Tucker, B. E., Toy, M., Tucker, D. L., Yuan, F., Abbott, T. M. C., Aguena, M., Alves, O., Andrade-Oliveira, F., Annis, J., Bacon, D., Bechtol, K., Bernstein, G. M., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., Castander, F. J., Conselice, C., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Doel, P., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gatti, M., Giannini, G., Gruen, D., Gruendl, R. A., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kuropatkin, N., Lahav, O., Lee, S., Lin, H., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Romer, A. K., Roodman, A., Sanchez, E., Cid, D. Sanchez, Schubnell, M., Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Walker, A. R., and Weaverdyck, N.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present the full Hubble diagram of photometrically-classified Type Ia supernovae (SNe Ia) from the Dark Energy Survey supernova program (DES-SN). DES-SN discovered more than 20,000 SN candidates and obtained spectroscopic redshifts of 7,000 host galaxies. Based on the light-curve quality, we select 1635 photometrically-identified SNe Ia with spectroscopic redshift 0.10$< z <$1.13, which is the largest sample of supernovae from any single survey and increases the number of known $z>0.5$ supernovae by a factor of five. In a companion paper, we present cosmological results of the DES-SN sample combined with 194 spectroscopically-classified SNe Ia at low redshift as an anchor for cosmological fits. Here we present extensive modeling of this combined sample and validate the entire analysis pipeline used to derive distances. We show that the statistical and systematic uncertainties on cosmological parameters are $\sigma_{\Omega_M,{\rm stat+sys}}^{\Lambda{\rm CDM}}=$0.017 in a flat $\Lambda$CDM model, and $(\sigma_{\Omega_M},\sigma_w)_{\rm stat+sys}^{w{\rm CDM}}=$(0.082, 0.152) in a flat $w$CDM model. Combining the DES SN data with the highly complementary CMB measurements by Planck Collaboration (2020) reduces uncertainties on cosmological parameters by a factor of 4. In all cases, statistical uncertainties dominate over systematics. We show that uncertainties due to photometric classification make up less than 10% of the total systematic uncertainty budget. This result sets the stage for the next generation of SN cosmology surveys such as the Vera C. Rubin Observatory's Legacy Survey of Space and Time., Comment: 39 pages, 19 figures; Submitted to ApJ; companion paper Dark Energy Collaboration et al. on consecutive arxiv number 2401.02929
Published: 2024

36. The Dark Energy Survey: Cosmology Results With ~1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset

Author: DES Collaboration, Abbott, T. M. C., Acevedo, M., Aguena, M., Alarcon, A., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Annis, J., Armstrong, P., Asorey, J., Avila, S., Bacon, D., Bassett, B. A., Bechtol, K., Bernardinelli, P. H., Bernstein, G. M., Bertin, E., Blazek, J., Bocquet, S., Brooks, D., Brout, D., Buckley-Geer, E., Burke, D. L., Camacho, H., Camilleri, R., Campos, A., Rosell, A. Carnero, Carollo, D., Carr, A., Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chen, R., Choi, A., Conselice, C., Costanzi, M., da Costa, L. N., Crocce, M., Davis, T. M., DePoy, D. L., Desai, S., Diehl, H. T., Dixon, M., Dodelson, S., Doel, P., Doux, C., Drlica-Wagner, A., Elvin-Poole, J., Everett, S., Ferrero, I., Ferté, A., Flaugher, B., Foley, R. J., Fosalba, P., Friedel, D., Frieman, J., Frohmaier, C., Galbany, L., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Glazebrook, K., Graur, O., Gruen, D., Gruendl, R. A., Gutierrez, G., Hartley, W. G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Jain, B., James, D. J., Jeffrey, N., Kasai, E., Kelsey, L., Kent, S., Kessler, R., Kim, A. G., Kirshner, R. P., Kovacs, E., Kuehn, K., Lahav, O., Lee, J., Lee, S., Lewis, G. F., Li, T. S., Lidman, C., Lin, H., Malik, U., Marshall, J. L., Martini, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Mohr, J. J., Mould, J., Muir, J., Möller, A., Neilsen, E., Nichol, R. C., Nugent, P., Ogando, R. L. C., Palmese, A., Pan, Y. -C., Paterno, M., Percival, W. J., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Popovic, B., Porredon, A., Prat, J., Qu, H., Raveri, M., Rodríguez-Monroy, M., Romer, A. K., Roodman, A., Rose, B., Sako, M., Sanchez, E., Cid, D. Sanchez, Schubnell, M., Scolnic, D., Sevilla-Noarbe, I., Shah, P., Smith, J. Allyn., Smith, M., Soares-Santos, M., Suchyta, E., Sullivan, M., Suntzeff, N., Swanson, M. E. C., Sánchez, B. O., Tarle, G., Taylor, G., Thomas, D., To, C., Toy, M., Troxel, M. A., Tucker, B. E., Tucker, D. L., Uddin, S. A., Vincenzi, M., Walker, A. R., Weaverdyck, N., Wechsler, R. H., Weller, J., Wester, W., Wiseman, P., Yamamoto, M., Yuan, F., Zhang, B., and Zhang, Y.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present cosmological constraints from the sample of Type Ia supernovae (SN Ia) discovered during the full five years of the Dark Energy Survey (DES) Supernova Program. In contrast to most previous cosmological samples, in which SN are classified based on their spectra, we classify the DES SNe using a machine learning algorithm applied to their light curves in four photometric bands. Spectroscopic redshifts are acquired from a dedicated follow-up survey of the host galaxies. After accounting for the likelihood of each SN being a SN Ia, we find 1635 DES SNe in the redshift range $0.100.5$ SNe compared to the previous leading compilation of Pantheon+, and results in the tightest cosmological constraints achieved by any SN data set to date. To derive cosmological constraints we combine the DES supernova data with a high-quality external low-redshift sample consisting of 194 SNe Ia spanning $0.025
Published: 2024

37. SPT Clusters with DES and HST Weak Lensing. II. Cosmological Constraints from the Abundance of Massive Halos

Author: Bocquet, S., Grandis, S., Bleem, L. E., Klein, M., Mohr, J. J., Schrabback, T., Abbott, T. M. C., Ade, P. A. R., Aguena, M., Alarcon, A., Allam, S., Allen, S. W., Alves, O., Amon, A., Anderson, A. J., Annis, J., Ansarinejad, B., Austermann, J. E., Avila, S., Bacon, D., Bayliss, M., Beall, J. A., Bechtol, K., Becker, M. R., Bender, A. N., Benson, B. A., Bernstein, G. M., Bhargava, S., Bianchini, F., Brodwin, M., Brooks, D., Bryant, L., Campos, A., Canning, R. E. A., Carlstrom, J. E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Chang, C. L., Chang, C., Chaubal, P., Chen, R., Chiang, H. C., Choi, A., Chou, T-L., Citron, R., Moran, C. Corbett, Cordero, J., Costanzi, M., Crawford, T. M., Crites, A. T., da Costa, L. N., Pereira, M. E. S., Davis, C., Davis, T. M., DeRose, J., Desai, S., de Haan, T., Diehl, H. T., Dobbs, M. A., Dodelson, S., Doux, C., Drlica-Wagner, A., Eckert, K., Elvin-Poole, J., Everett, S., Everett, W., Ferrero, I., Ferté, A., Flores, A. M., Frieman, J., Gallicchio, J., García-Bellido, J., Gatti, M., George, E. M., Giannini, G., Gladders, M. D., Gruen, D., Gruendl, R. A., Gupta, N., Gutierrez, G., Halverson, N. W., Harrison, I., Hartley, W. G., Herner, K., Hinton, S. R., Holder, G. P., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Hrubes, J. D., Huang, N., Hubmayr, J., Huff, E. M., Huterer, D., Irwin, K. D., James, D. J., Jarvis, M., Khullar, G., Kim, K., Knox, L., Kraft, R., Krause, E., Kuehn, K., Kuropatkin, N., Kéruzoré, F., Lahav, O., Lee, A. T., Leget, P. -F., Li, D., Lin, H., Lowitz, A., MacCrann, N., Mahler, G., Mantz, A., Marshall, J. L., McCullough, J., McDonald, M., McMahon, J. J., Mena-Fernández, J., Menanteau, F., Meyer, S. S., Miquel, R., Montgomery, J., Myles, J., Natoli, T., Navarro-Alsina, A., Nibarger, J. P., Noble, G. I., Novosad, V., Ogando, R. L. C., Omori, Y., Padin, S., Pandey, S., Paschos, P., Patil, S., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Pryke, C., Raveri, M., Reichardt, C. L., Roberson, J., Rollins, R. P., Romero, C., Roodman, A., Ruhl, J. E., Rykoff, E. S., Saliwanchik, B. R., Salvati, L., Sánchez, C., Sanchez, E., Cid, D. Sanchez, Saro, A., Schaffer, K. K., Secco, L. F., Sevilla-Noarbe, I., Sharon, K., Sheldon, E., Shin, T., Sievers, C., Smecher, G., Smith, M., Somboonpanyakul, T., Sommer, M., Stalder, B., Stark, A. A., Stephen, J., Strazzullo, V., Suchyta, E., Tarle, G., To, C., Troxel, M. A., Tucker, C., Tutusaus, I., Varga, T. N., Veach, T., Vieira, J. D., Vikhlinin, A., von der Linden, A., Wang, G., Weaverdyck, N., Weller, J., Whitehorn, N., Wu, W. L. K., Yanny, B., Yefremenko, V., Yin, B., Young, M., Zebrowski, J. A., Zhang, Y., Zohren, H., and Zuntz, J.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present cosmological constraints from the abundance of galaxy clusters selected via the thermal Sunyaev-Zel'dovich (SZ) effect in South Pole Telescope (SPT) data with a simultaneous mass calibration using weak gravitational lensing data from the Dark Energy Survey (DES) and the Hubble Space Telescope (HST). The cluster sample is constructed from the combined SPT-SZ, SPTpol ECS, and SPTpol 500d surveys, and comprises 1,005 confirmed clusters in the redshift range $0.25-1.78$ over a total sky area of 5,200 deg$^2$. We use DES Year 3 weak-lensing data for 688 clusters with redshifts $z<0.95$ and HST weak-lensing data for 39 clusters with $0.6
Published: 2024

38. Dark Energy Survey Year 3 Results: Mis-centering calibration and X-ray-richness scaling relations in redMaPPer clusters

Author: Kelly, P., Jobel, J., Eiger, O., Abd, A., Jeltema, T. E., Giles, P., Hollowood, D. L., Wilkinson, R. D., Turner, D. J., Bhargava, S., Everett, S., Farahi, A., Romer, A. K., Rykoff, E. S., Wang, F., Bocquet, S., Cross, D., Faridjoo, R., Franco, J., Gardner, G., Kwiecien, M., Laubner, D., McDaniel, A., O'Donnell, J. H., Sanchez, L., Schmidt, E., Sripada, S., Swart, A., Upsdell, E., Webber, A., Aguena, M., Allam, S., Alves, O., Bacon, D., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., Collins, C. A., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Doel, P., Ferrero, I., Frieman, J., García-Bellido, J., Giannini, G., Gruen, D., Gruendl, R. A., Hilton, M., Hinton, S. R., Honscheid, K., James, D. J., Kuehn, K., Mann, R. G., Marshall, J. L., Mena-Fernández, J., Miller, C. J., Miquel, R., Myles, J., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Rooney, P. J., Sahlen, M., Sanchez, E., Cid, D. Sanchez, Schubnell, M., Sevilla-Noarbe, I., Smith, M., Stott, J. P., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Viana, P. T. P., Weaverdyck, N., and Wiseman, P.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We use Dark Energy Survey Year 3 (DES Y3) clusters with archival X-ray data from XMM-Newton and Chandra to assess the centering performance of the redMaPPer cluster finder and to measure key richness observable scaling relations. In terms of centering, we find that 10-20% of redMaPPer clusters are miscentered with no significant difference in bins of low versus high richness ($20<\lambda<40$ and $\lambda>40$) or redshift ($0.2
Published: 2023

39. SPT Clusters with DES and HST Weak Lensing. I. Cluster Lensing and Bayesian Population Modeling of Multi-Wavelength Cluster Datasets

Author: Bocquet, S., Grandis, S., Bleem, L. E., Klein, M., Mohr, J. J., Aguena, M., Alarcon, A., Allam, S., Allen, S. W., Alves, O., Amon, A., Ansarinejad, B., Bacon, D., Bayliss, M., Bechtol, K., Becker, M. R., Benson, B. A., Bernstein, G. M., Brodwin, M., Brooks, D., Campos, A., Canning, R. E. A., Carlstrom, J. E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cawthon, R., Chang, C., Chen, R., Choi, A., Cordero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Davis, C., de Haan, T., DeRose, J., Desai, S., Diehl, H. T., Dodelson, S., Doel, P., Doux, C., Drlica-Wagner, A., Eckert, K., Elvin-Poole, J., Everett, S., Ferrero, I., Ferté, A., Flores, A. M., Frieman, J., García-Bellido, J., Gatti, M., Giannini, G., Gladders, M. D., Gruen, D., Gruendl, R. A., Harrison, I., Hartley, W. G., Herner, K., Hinton, S. R., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Huang, N., Huff, E. M., James, D. J., Jarvis, M., Kéruzoré, F., Khullar, G., Kim, K., Kraft, R., Kuehn, K., Kuropatkin, N., Lee, S., Leget, P. -F., MacCrann, N., Mahler, G., Mantz, A., Marshall, J. L., McCullough, J., McDonald, M., Mena-Fernández, J., Miquel, R., Myles, J., Navarro-Alsina, A., Ogando, R. L. C., Palmese, A., Pandey, S., Pieres, A., Malagón, A. A. Plazas, Prat, J., Raveri, M., Reichardt, C. L., Roberson, J., Rollins, R. P., Romer, A. K., Romero, C., Roodman, A., Ross, A. J., Rykoff, E. S., Salvati, L., Sánchez, C., Sanchez, E., Cid, D. Sanchez, Saro, A., Schrabback, T., Schubnell, M., Secco, L. F., Sevilla-Noarbe, I., Sharon, K., Sheldon, E., Shin, T., Smith, M., Somboonpanyakul, T., Stalder, B., Stark, A. A., Strazzullo, V., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Troxel, M. A., Tutusaus, I., Varga, T. N., von der Linden, A., Weaverdyck, N., Weller, J., Wiseman, P., Yanny, B., Yin, B., Young, M., Zhang, Y., and Zuntz, J.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present a Bayesian population modeling method to analyze the abundance of galaxy clusters identified by the South Pole Telescope (SPT) with a simultaneous mass calibration using weak gravitational lensing data from the Dark Energy Survey (DES) and the Hubble Space Telescope (HST). We discuss and validate the modeling choices with a particular focus on a robust, weak-lensing-based mass calibration using DES data. For the DES Year 3 data, we report a systematic uncertainty in weak-lensing mass calibration that increases from 1% at $z=0.25$ to 10% at $z=0.95$, to which we add 2% in quadrature to account for uncertainties in the impact of baryonic effects. We implement an analysis pipeline that joins the cluster abundance likelihood with a multi-observable likelihood for the Sunyaev-Zel'dovich effect, optical richness, and weak-lensing measurements for each individual cluster. We validate that our analysis pipeline can recover unbiased cosmological constraints by analyzing mocks that closely resemble the cluster sample extracted from the SPT-SZ, SPTpol ECS, and SPTpol 500d surveys and the DES Year 3 and HST-39 weak-lensing datasets. This work represents a crucial prerequisite for the subsequent cosmological analysis of the real dataset., Comment: Accepted for publication in Phys. Rev. D. arXiv v2 corresponds to published article
Published: 2023

40. Cosmological shocks around galaxy clusters: A coherent investigation with DES, SPT & ACT

Author: Anbajagane, D., Chang, C., Baxter, E. J., Charney, S., Lokken, M., Aguena, M., Allam, S., Alves, O., Amon, A., An, R., Andrade-Oliveira, F., Bacon, D., Battaglia, N., Bechtol, K., Becker, M. R., Benson, B. A., Bernstein, G. M., Bleem, L., Bocquet, S., Bond, J. R., Brooks, D., Rosell, A. Carnero, Kind, M. Carrasco, Chen, R., Choi, A., Costanzi, M., Crawford, T. M., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., De Vicente, J., Desai, S., Devlin, M. J., Diehl, H. T., Doel, P., Doux, C., Drlica-Wagner, A., Elvin-Poole, J., Ferrero, I., Ferte, A., Flaugher, B., Fosalba, P., Friedel, D., Frieman, J., Garcia-Bellido, J., Gatti, M., Giannini, G., Grandis, S., Gruen, D., Gruendl, R. A., Gutierrez, G., Harrison, I., Hill, J. C., Hilton, M., Hinton, S. R., Hollowood, D. L., Honscheid, K., Jain, B., James, D. J., Jarvis, M., Kuehn, K., Lin, M., MacCrann, N., Marshall, J. L., McCullough, J., McMahon, J. J., Mena-Fernandez, J., Menanteau, F., Miquel, R., Moodley, K., Mroczkowski, T., Myles, J., Naess, S., Navarro-Alsina, A., Ogando, R. L. C., Page, L. A., Palmese, A., Pandey, S., Patridge, B., Pieres, A., Malagon, A. A. Plazas, Porredon, A., Prat, J., Reichardt, C., Reil, K., Rodriguez-Monroy, M., Rollins, R. P., Romer, A. K., Rykoff, E. S., Sanchez, E., Sanchez, C., Cid, D. Sanchez, Schaan, E., Schubnell, M., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Sifon, C., Smith, M., Staggs, S. T., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Troxel, M. A., Tutusaus, I., Vavagiakis, E. M., Weaverdyck, N., Weller, J., Wiseman, P., Wollack, E. J., and Yanny, B.
Subjects: Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We search for signatures of cosmological shocks in gas pressure profiles of galaxy clusters using the cluster catalogs from three surveys: the Dark Energy Survey (DES) Year 3, the South Pole Telescope (SPT) SZ survey, and the Atacama Cosmology Telescope (ACT) data releases 4, 5, and 6, and using thermal Sunyaev-Zeldovich (SZ) maps from SPT and ACT. The combined cluster sample contains around $10^5$ clusters with mass and redshift ranges $10^{13.7} < M_{\rm 200m}/M_\odot < 10^{15.5}$ and $0.1 < z < 2$, and the total sky coverage of the maps is $\approx 15,000 \,\,{\rm deg}^2$. We find a clear pressure deficit at $R/R_{\rm 200m}\approx 1.1$ in SZ profiles around both ACT and SPT clusters, estimated at $6\sigma$ significance, which is qualitatively consistent with a shock-induced thermal non-equilibrium between electrons and ions. The feature is not as clearly determined in profiles around DES clusters. We verify that measurements using SPT or ACT maps are consistent across all scales, including in the deficit feature. The SZ profiles of optically selected and SZ-selected clusters are also consistent for higher mass clusters. Those of less massive, optically selected clusters are suppressed on small scales by factors of 2-5 compared to predictions, and we discuss possible interpretations of this behavior. An oriented stacking of clusters -- where the orientation is inferred from the SZ image, the brightest cluster galaxy, or the surrounding large-scale structure measured using galaxy catalogs -- shows the normalization of the one-halo and two-halo terms vary with orientation. Finally, the location of the pressure deficit feature is statistically consistent with existing estimates of the splashback radius., Comment: [v2]: Version accepted to MNRAS
Published: 2023

41. Cosmology from Cross-Correlation of ACT-DR4 CMB Lensing and DES-Y3 Cosmic Shear

Author: Shaikh, S., Harrison, I., van Engelen, A., Marques, G. A., Abbott, T. M. C., Aguena, M., Alves, O., Amon, A., An, R., Bacon, D., Battaglia, N., Becker, M. R., Bernstein, G. M., Bertin, E., Blazek, J., Bond, J. R., Brooks, D., Burke, D. L., Calabrese, E., Rosell, A. Carnero, Carretero, J., Cawthon, R., Chang, C., Chen, R., Choi, A., Choi, S. K., da Costa, L. N., Pereira, M. E. S., Darwish, O., Davis, T. M., Desai, S., Devlin, M., Diehl, H. T., Doel, P., Doux, C., Elvin-Poole, J., Farren, G. S., Ferraro, S., Ferrero, I., Ferté, A., Flaugher, B., Frieman, J., Gatti, M., Giannini, G., Giardiello, S., Gruen, D., Gruendl, R. A., Gutierrez, G., Hill, J. C., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huffenberger, K. M., Huterer, D., James, D. J., Jarvis, M., Jeffrey, N., Jense, H. T., Knowles, K., Kim, J., Kramer, D., Lahav, O., Lee, S., Lima, M., MacCrann, N., Madhavacheril, M. S., Marshall, J. L., McCullough, J., Mehta, Y., Mena-Fernández, J., Miquel, R., Mohr, J. J., Moodley, K., Myles, J., Navarro-Alsina, A., Newburgh, L., Niemack, M. D., Omori, Y., Pandey, S., Partridge, B., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Qu, F. J., Robertson, N., Rollins, R. P., Roodman, A., Samuroff, S., Sánchez, C., Sanchez, E., Cid, D. Sanchez, Secco, L. F., Sehgal, N., Sheldon, E., Sherwin, B. D., Shin, T., Smith, C. Sifón M., Suchyta, E., Swanson, M. E. C., Tarle, G., Troxel, M. A., Tutusaus, I., Vargas, C., Weaverdyck, N., Wiseman, P., Yamamoto, M., and Zuntz, J.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Cross-correlation between weak lensing of the Cosmic Microwave Background (CMB) and weak lensing of galaxies offers a way to place robust constraints on cosmological and astrophysical parameters with reduced sensitivity to certain systematic effects affecting individual surveys. We measure the angular cross-power spectrum between the Atacama Cosmology Telescope (ACT) DR4 CMB lensing and the galaxy weak lensing measured by the Dark Energy Survey (DES) Y3 data. Our baseline analysis uses the CMB convergence map derived from ACT-DR4 and $\textit{Planck}$ data, where most of the contamination due to the thermal Sunyaev Zel'dovich effect is removed, thus avoiding important systematics in the cross-correlation. In our modelling, we consider the nuisance parameters of the photometric uncertainty, multiplicative shear bias and intrinsic alignment of galaxies. The resulting cross-power spectrum has a signal-to-noise ratio $= 7.1$ and passes a set of null tests. We use it to infer the amplitude of the fluctuations in the matter distribution ($S_8 \equiv \sigma_8 (\Omega_{\rm m}/0.3)^{0.5} = 0.782\pm 0.059$) with informative but well-motivated priors on the nuisance parameters. We also investigate the validity of these priors by significantly relaxing them and checking the consistency of the resulting posteriors, finding them consistent, albeit only with relatively weak constraints. This cross-correlation measurement will improve significantly with the new ACT-DR6 lensing map and form a key component of the joint 6x2pt analysis between DES and ACT., Comment: 26 pages, 30 figures (including appendices). Data associated with this article is available at https://github.com/itrharrison/actdr4kappa-x-desy3gamma-data
Published: 2023
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42. A search for faint resolved galaxies beyond the Milky Way in DES Year 6: A new faint, diffuse dwarf satellite of NGC 55

Author: McNanna, M., Bechtol, K., Mau, S., Nadler, E. O., Medoff, J., Drlica-Wagner, A., Cerny, W., Crnojevic, D., Mutlu-Pakdil, B., Vivas, A. K., Pace, A. B., Carlin, J. L., Collins, M. L. M., Ferguson, P. S., Martinez-Delgado, D., Martinez-Vazquez, C. E., Noel, N. E. D., Riley, A. H., Sand, D. J., Smercina, A., Tollerud, E., Wechsler, R. H., Abbott, T. M. C., Aguena, M., Alves, O., Bacon, D., Bom, C. R., Brooks, D., Burke, D. L., Carballo-Bello, J. A., Rosell, A. Carnero, Carretero, J., da Costa, L. N., Davis, T. M., De Vicente, J., Diehl, H. T., Doel, P., Ferrero, I., Frieman, J., Giannini, G., Gruen, D., Gutierrez, G., Gruendl, R. A., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Marshall, J. L., Mena-Fernandez, J., Miquel, R., Pereira, M. E. S., Pieres, A., Malagon, A. A. Plazas, Sakowska, J. D., Sanchez, E., Cid, D. Sanchez, Santiago, B., Sevilla-Noarbe, I., Smith, M., Stringfellow, G. S., Suchyta, E., Swanson, M. E. C., Tarle, G., Weaverdyck, N., and Wiseman, P.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We report results from a systematic wide-area search for faint dwarf galaxies at heliocentric distances from 0.3 to 2 Mpc using the full six years of data from the Dark Energy Survey (DES). Unlike previous searches over the DES data, this search specifically targeted a field population of faint galaxies located beyond the Milky Way virial radius. We derive our detection efficiency for faint, resolved dwarf galaxies in the Local Volume with a set of synthetic galaxies and expect our search to be complete to $M_V$ ~ $(-7, -10)$ mag for galaxies at $D = (0.3, 2.0)$ Mpc respectively. We find no new field dwarfs in the DES footprint, but we report the discovery of one high-significance candidate dwarf galaxy at a distance of $2.2\substack{+0.05\\-0.12}$ Mpc, a potential satellite of the Local Volume galaxy NGC 55, separated by $47$ arcmin (physical separation as small as 30 kpc). We estimate this dwarf galaxy to have an absolute V-band magnitude of $-8.0\substack{+0.5\\-0.3}$ mag and an azimuthally averaged physical half-light radius of $2.2\substack{+0.5\\-0.4}$ kpc, making this one of the lowest surface brightness galaxies ever found with $\mu = 32.3$ mag ${\rm arcsec}^{-2}$. This is the largest, most diffuse galaxy known at this luminosity, suggesting possible tidal interactions with its host., Comment: 20 pages, 7 figures
Published: 2023

43. Dark Energy Survey Year 3 Results: Constraints on extensions to $\Lambda$CDM with weak lensing and galaxy clustering

Author: DES Collaboration, Abbott, T. M. C., Aguena, M., Alarcon, A., Alves, O., Amon, A., Annis, J., Avila, S., Bacon, D., Baxter, E., Bechtol, K., Becker, M. R., Bernstein, G. M., Birrer, S., Blazek, J., Bocquet, S., Brandao-Souza, A., Bridle, S. L., Brooks, D., Burke, D. L., Camacho, H., Campos, A., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chen, A., Chen, R., Choi, A., Conselice, C., Cordero, J., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, C., Davis, T. M., DeRose, J., Desai, S., Di Valentino, E., Diehl, H. T., Dodelson, S., Doel, P., Doux, C., Drlica-Wagner, A., Eckert, K., Eifler, T. F., Elsner, F., Elvin-Poole, J., Everett, S., Fang, X., Farahi, A., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Friedel, D., Friedrich, O., Frieman, J., García-Bellido, J., Gatti, M., Giani, L., Giannantonio, T., Giannini, G., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hamaus, N., Harrison, I., Hartley, W. G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huang, H., Huff, E. M., Huterer, D., Jain, B., James, D. J., Jarvis, M., Jeffrey, N., Jeltema, T., Kovacs, A., Krause, E., Kuehn, K., Kuropatkin, N., Lahav, O., Lee, S., Leget, P. -F., Lemos, P., Leonard, C. D., Liddle, A. R., Lima, M., Lin, H., MacCrann, N., Marshall, J. L., McCullough, J., Mena-Fernández, J., Menanteau, F., Miquel, R., Miranda, V., Mohr, J. J., Muir, J., Myles, J., Nadathur, S., Navarro-Alsina, A., Nichol, R. C., Ogando, R. L. C., Omori, Y., Palmese, A., Pandey, S., Park, Y., Paterno, M., Paz-Chinchón, F., Percival, W. J., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Raveri, M., Rodriguez-Monroy, M., Rogozenski, P., Rollins, R. P., Romer, A. K., Roodman, A., Rosenfeld, R., Ross, A. J., Rykoff, E. S., Samuroff, S., Sánchez, C., Sanchez, E., Sanchez, J., Cid, D. Sanchez, Scarpine, V., Scolnic, D., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Smith, M., Soares-Santos, M., Suchyta, E., Tabbutt, M., Tarle, G., Thomas, D., To, C., Troja, A., Troxel, M. A., Tutusaus, I., Varga, T. N., Vincenzi, M., Walker, A. R., Weaverdyck, N., Wechsler, R. H., Weller, J., Yanny, B., Yin, B., Zhang, Y., and Zuntz, J.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We constrain extensions to the $\Lambda$CDM model using measurements from the Dark Energy Survey's first three years of observations and external data. The DES data are the two-point correlation functions of weak gravitational lensing, galaxy clustering, and their cross-correlation. We use simulated data and blind analyses of real data to validate the robustness of our results. In many cases, constraining power is limited by the absence of nonlinear predictions that are reliable at our required precision. The models are: dark energy with a time-dependent equation of state, non-zero spatial curvature, sterile neutrinos, modifications of gravitational physics, and a binned $\sigma_8(z)$ model which serves as a probe of structure growth. For the time-varying dark energy equation of state evaluated at the pivot redshift we find $(w_{\rm p}, w_a)= (-0.99^{+0.28}_{-0.17},-0.9\pm 1.2)$ at 68% confidence with $z_{\rm p}=0.24$ from the DES measurements alone, and $(w_{\rm p}, w_a)= (-1.03^{+0.04}_{-0.03},-0.4^{+0.4}_{-0.3})$ with $z_{\rm p}=0.21$ for the combination of all data considered. Curvature constraints of $\Omega_k=0.0009\pm 0.0017$ and effective relativistic species $N_{\rm eff}=3.10^{+0.15}_{-0.16}$ are dominated by external data. For massive sterile neutrinos, we improve the upper bound on the mass $m_{\rm eff}$ by a factor of three compared to previous analyses, giving 95% limits of $(\Delta N_{\rm eff},m_{\rm eff})\leq (0.28, 0.20\, {\rm eV})$. We also constrain changes to the lensing and Poisson equations controlled by functions $\Sigma(k,z) = \Sigma_0 \Omega_{\Lambda}(z)/\Omega_{\Lambda,0}$ and $\mu(k,z)=\mu_0 \Omega_{\Lambda}(z)/\Omega_{\Lambda,0}$ respectively to $\Sigma_0=0.6^{+0.4}_{-0.5}$ from DES alone and $(\Sigma_0,\mu_0)=(0.04\pm 0.05,0.08^{+0.21}_{-0.19})$ for the combination of all data. Overall, we find no significant evidence for physics beyond $\Lambda$CDM., Comment: Updated to match published version and fix a citation reference. 46 pages, 25 figures, data available at https://dev.des.ncsa.illinois.edu/releases/y3a2/Y3key-extensions
Published: 2022
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44. Measurement of prompt charged-particle production in pp collisions at a centre-of-mass energy of 13 TeV

Author: LHCb collaboration, Aaij, R., Beteta, C. Abellán, Ackernley, T., Adeva, B., Adinolfi, M., Afsharnia, H., Aidala, C. A., Aiola, S., Ajaltouni, Z., Akar, S., Alasfar, L., Albrecht, J., Alessio, F., Alexander, M., Albero, A. Alfonso, Aliouche, Z., Alkhazov, G., Cartelle, P. Alvarez, Amato, S., Amhis, Y., An, L., Anderlini, L., Andreianov, A., Andreotti, M., Archilli, F., Artamonov, A., Artuso, M., Arzymatov, K., Aslanides, E., Atzeni, M., Audurier, B., Bachmann, S., Bachmayer, M., Back, J. J., Rodriguez, P. Baladron, Balagura, V., Baldini, W., Leite, J. Baptista, Barlow, R. J., Barsuk, S., Barter, W., Bartolini, M., Baryshnikov, F., Basels, J. M., Bassi, G., Batsukh, B., Battig, A., Bay, A., Becker, M., Bedeschi, F., Bediaga, I., Beiter, A., Belavin, V., Belin, S., Bellee, V., Belous, K., Belov, I., Belyaev, I., Bencivenni, G., Ben-Haim, E., Berezhnoy, A., Bernet, R., Berninghoff, D., Bernstein, H. C., Bertella, C., Bertolin, A., Betancourt, C., Betti, F., Bezshyiko, Ia., Bhasin, S., Bhom, J., Bian, L., Bieker, M. S., Bifani, S., Billoir, P., Birch, M., Bishop, F. C. R., Bitadze, A., Bizzeti, A., Bjørn, M., Blago, M. P., Blake, T., Blanc, F., Blusk, S., Bobulska, D., Boelhauve, J. A., Garcia, O. Boente, Boettcher, T., Boldyrev, A., Bondar, A., Bondar, N., Borghi, S., Borisyak, M., Borsato, M., Borsuk, J. T., Bouchiba, S. A., Bowcock, T. J. V., Boyer, A., Bozzi, C., Bradley, M. J., Braun, S., Rodriguez, A. Brea, Brodski, M., Brodzicka, J., Gonzalo, A. Brossa, Brundu, D., Buonaura, A., Burr, C., Bursche, A., Butkevich, A., Butter, J. S., Buytaert, J., Byczynski, W., Cadeddu, S., Cai, H., Calabrese, R., Calefice, L., Diaz, L. Calero, Cali, S., Calladine, R., Calvi, M., Gomez, M. Calvo, Magalhaes, P. Camargo, Campana, P., Quezada, A. F. Campoverde, Capelli, S., Capriotti, L., Carbone, A., Carboni, G., Cardinale, R., Cardini, A., Carli, I., Carniti, P., Carus, L., Akiba, K. Carvalho, Vidal, A. Casais, Casse, G., Cattaneo, M., Cavallero, G., Celani, S., Cerasoli, J., Chadwick, A. J., Chapman, M. G., Charles, M., Charpentier, Ph., Chatzikonstantinidis, G., Barajas, C. A. Chavez, Chefdeville, M., Chen, C., Chen, S., Chernov, A., Chobanova, V., Cholak, S., Chrzaszcz, M., Chubykin, A., Chulikov, V., Ciambrone, P., Cicala, M. F., Vidal, X. Cid, Ciezarek, G., Clarke, P. E. L., Clemencic, M., Cliff, H. V., Closier, J., Cobbledick, J. L., Coco, V., Coelho, J. A. B., Cogan, J., Cogneras, E., Cojocariu, L., Collins, P., Colombo, T., Congedo, L., Contu, A., Cooke, N., Coombs, G., Corti, G., Sobral, C. M. Costa, Couturier, B., Craik, D. C., Crkovská, J., Torres, M. Cruz, Currie, R., Da Silva, C. L., Dadabaev, S., Dall'Occo, E., Dalseno, J., D'Ambrosio, C., Danilina, A., d'Argent, P., Davis, A., Francisco, O. De Aguiar, De Bruyn, K., De Capua, S., De Cian, M., De Miranda, J. M., De Paula, L., De Serio, M., De Simone, D., De Simone, P., de Vries, J. A., Dean, C. T., Decamp, D., Del Buono, L., Delaney, B., Dembinski, H. -P., Dendek, A., Denysenko, V., Derkach, D., Deschamps, O., Desse, F., Dettori, F., Dey, B., Di Cicco, A., Di Nezza, P., Didenko, S., Maronas, L. Dieste, Dijkstra, H., Dobishuk, V., Donohoe, A. M., Dordei, F., Reis, A. C. dos, Douglas, L., Dovbnya, A., Downes, A. G., Dreimanis, K., Dudek, M. W., Dufour, L., Duk, V., Durante, P., Durham, J. M., Dutta, D., Dziurda, A., Dzyuba, A., Easo, S., Egede, U., Egorychev, V., Eidelman, S., Eisenhardt, S., Ek-In, S., Eklund, L., Ely, S., Ene, A., Epple, E., Escher, S., Eschle, J., Esen, S., Evans, T., Falabella, A., Fan, J., Fan, Y., Fang, B., Farry, S., Fazzini, D., Féo, M., Prieto, A. Fernandez, Arribas, J. M. Fernandez-tenllado, Fernez, A. D., Ferrari, F., Lopes, L. Ferreira, Rodrigues, F. Ferreira, Sole, S. Ferreres, Ferrillo, M., Ferro-Luzzi, M., Filippov, S., Fini, R. A., Fiorini, M., Firlej, M., Fischer, K. M., Fitzgerald, D. S., Fitzpatrick, C., Fiutowski, T., Fkiaras, A., Fleuret, F., Fontana, M., Fontanelli, F., Forty, R., Lima, V. Franco, Sevilla, M. Franco, Frank, M., Franzoso, E., Frau, G., Frei, C., Friday, D. A., Fu, J., Fuehring, Q., Funk, W., Gabriel, E., Gaintseva, T., Torreira, A. Gallas, Galli, D., Gambetta, S., Gan, Y., Gandelman, M., Gandini, P., Gao, Y., Garau, M., Martin, L. M. Garcia, Moreno, P. Garcia, Pardiñas, J. García, Plana, B. Garcia, Rosales, F. A. Garcia, Garrido, L., Gaspar, C., Geertsema, R. E., Gerick, D., Gerken, L. L., Gersabeck, E., Gersabeck, M., Gershon, T., Gerstel, D., Ghez, Ph., Gibson, V., Giemza, H. K., Giovannetti, M., Gioventù, A., Gironell, P. Gironella, Giubega, L., Giugliano, C., Gizdov, K., Gkougkousis, E. L., Gligorov, V. V., Göbel, C., Golobardes, E., Golubkov, D., Golutvin, A., Gomes, A., Fernandez, S. Gomez, Abrantes, F. Goncalves, Goncerz, M., Gong, G., Gorbounov, P., Gorelov, I. V., Gotti, C., Govorkova, E., Grabowski, J. P., Grammatico, T., Cardoso, L. A. Granado, Graugés, E., Graverini, E., Graziani, G., Grecu, A., Greeven, L. M., Griffith, P., Grillo, L., Gromov, S., Cazon, B. R. Gruberg, Gu, C., Guarise, M., Günther, P. A., Gushchin, E., Guth, A., Guz, Y., Gys, T., Hadavizadeh, T., Haefeli, G., Haen, C., Haimberger, J., Halewood-leagas, T., Hamilton, P. M., Hammerich, J. P., Han, Q., Han, X., Hancock, T. H., Hansmann-Menzemer, S., Harnew, N., Harrison, T., Hasse, C., Hatch, M., He, J., Hecker, M., Heijhoff, K., Heinicke, K., Hennequin, A. M., Hennessy, K., Henry, L., Heuel, J., Hicheur, A., Hill, D., Hilton, M., Hollitt, S. E., Hu, J., Hu, W., Hu, X., Huang, W., Huang, X., Hulsbergen, W., Hunter, R. J., Hushchyn, M., Hutchcroft, D., Hynds, D., Ibis, P., Idzik, M., Ilin, D., Ilten, P., Inglessi, A., Ishteev, A., Ivshin, K., Jacobsson, R., Jakobsen, S., Jans, E., Jashal, B. K., Jawahery, A., Jevtic, V., Jezabek, M., Jiang, F., John, M., Johnson, D., Jones, C. R., Jones, T. P., Jost, B., Jurik, N., Kandybei, S., Kang, Y., Karacson, M., Karpov, M., Keizer, F., Kenzie, M., Ketel, T., Khanji, B., Kharisova, A., Kholodenko, S., Kirn, T., Kirsebom, V. S., Kitouni, O., Klaver, S., Klimaszewski, K., Koliiev, S., Kondybayeva, A., Konoplyannikov, A., Kopciewicz, P., Kopecna, R., Koppenburg, P., Korolev, M., Kostiuk, I., Kot, O., Kotriakhova, S., Kravchenko, P., Kravchuk, L., Krawczyk, R. D., Kreps, M., Kress, F., Kretzschmar, S., Krokovny, P., Krupa, W., Krzemien, W., Kucewicz, W., Kucharczyk, M., Kudryavtsev, V., Kuindersma, H. S., Kunde, G. J., Kvaratskheliya, T., Lacarrere, D., Lafferty, G., Lai, A., Lampis, A., Lancierini, D., Lane, J. J., Lane, R., Lanfranchi, G., Langenbruch, C., Langer, J., Lantwin, O., Latham, T., Lazzari, F., Gac, R. Le, Lee, S. H., Lefèvre, R., Leflat, A., Legotin, S., Leroy, O., Lesiak, T., Leverington, B., Li, H., Li, L., Li, P., Li, S., Li, Y., Li, Z., Liang, X., Lin, T., Lindner, R., Lisovskyi, V., Litvinov, R., Liu, G., Liu, H., Liu, S., Loi, A., Castro, J. Lomba, Longstaff, I., Lopes, J. H., Lovell, G. H., Lu, Y., Lucchesi, D., Luchuk, S., Martinez, M. Lucio, Lukashenko, V., Luo, Y., Lupato, A., Luppi, E., Lupton, O., Lusiani, A., Lyu, X., Ma, L., Ma, R., Maccolini, S., Machefert, F., Maciuc, F., Macko, V., Mackowiak, P., Maddrell-Mander, S., Madejczyk, O., Mohan, L. R. Madhan, Maev, O., Maevskiy, A., Maisuzenko, D., Majewski, M. W., Malczewski, J. J., Malde, S., Malecki, B., Malinin, A., Maltsev, T., Malygina, H., Manca, G., Mancinelli, G., Manuzzi, D., Marangotto, D., Maratas, J., Marchand, J. F., Marconi, U., Mariani, S., Benito, C. Marin, Marinangeli, M., Marks, J., Marshall, A. M., Marshall, P. J., Martellotti, G., Martinazzoli, L., Martinelli, M., Santos, D. Martinez, Vidal, F. Martinez, Massafferri, A., Materok, M., Matev, R., Mathad, A., Mathe, Z., Matiunin, V., Matteuzzi, C., Mattioli, K. R., Mauri, A., Maurice, E., Mauricio, J., Mazurek, M., McCann, M., Mcconnell, L., Mcgrath, T. H., McNab, A., McNulty, R., Mead, J. V., Meadows, B., Meier, G., Meinert, N., Melnychuk, D., Meloni, S., Merk, M., Merli, A., Garcia, L. Meyer, Mikhasenko, M., Milanes, D. A., Millard, E., Milovanovic, M., Minard, M. -N., Minotti, A., Minzoni, L., Mitchell, S. E., Mitreska, B., Mitzel, D. S., Mödden, A., Mohammed, R. A., Moise, R. D., Mombächer, T., Monroy, I. A., Monteil, S., Morandin, M., Morello, G., Morello, M. J., Moron, J., Morris, A. B., Morris, A. G., Mountain, R., Mu, H., Muheim, F., Mulder, M., Müller, D., Müller, K., Murphy, C. H., Murray, D., Muzzetto, P., Naik, P., Nakada, T., Nandakumar, R., Nanut, T., Nasteva, I., Needham, M., Neri, I., Neri, N., Neubert, S., Neufeld, N., Newcombe, R., Nguyen, T. D., Nguyen-Mau, C., Niel, E. M., Nieswand, S., Nikitin, N., Nolte, N. S., Normand, C., Nunez, C., Oblakowska-Mucha, A., Obraztsov, V., O'Hanlon, D. P., Oldeman, R., Olivares, M. E., Onderwater, C. J. G., O'neil, R. H., Ossowska, A., Goicochea, J. M. Otalora, Ovsiannikova, T., Owen, P., Oyanguren, A., Pagare, B., Pais, P. R., Pajero, T., Palano, A., Palutan, M., Pan, Y., Panshin, G., Papanestis, A., Pappagallo, M., Pappalardo, L. L., Pappenheimer, C., Parker, W., Parkes, C., Parkinson, C. J., Passalacqua, B., Passaleva, G., Pastore, A., Patel, M., Patrignani, C., Pawley, C. J., Pearce, A., Pellegrino, A., Altarelli, M. Pepe, Perazzini, S., Pereima, D., Perret, P., Petric, M., Petridis, K., Petrolini, A., Petrov, A., Petrucci, S., Petruzzo, M., Pham, T. T. H., Philippov, A., Pica, L., Piccini, M., Pietrzyk, B., Pietrzyk, G., Pili, M., Pinci, D., Pisani, F., K, Resmi P., Placinta, V., Plews, J., Casasus, M. Plo, Polci, F., Lener, M. Poli, Poliakova, M., Poluektov, A., Polukhina, N., Polyakov, I., Polycarpo, E., Pomery, G. J., Ponce, S., Popov, D., Popov, S., Poslavskii, S., Prasanth, K., Promberger, L., Prouve, C., Pugatch, V., Pullen, H., Punzi, G., Qi, H., Qian, W., Qin, J., Qin, N., Quagliani, R., Quintana, B., Raab, N. V., Trejo, R. I. Rabadan, Rachwal, B., Rademacker, J. H., Rama, M., Pernas, M. Ramos, Rangel, M. S., Ratnikov, F., Raven, G., Reboud, M., Redi, F., Reiss, F., Alepuz, C. Remon, Ren, Z., Renaudin, V., Ribatti, R., Ricciardi, S., Rinnert, K., Robbe, P., Robertson, G., Rodrigues, A. B., Rodrigues, E., Lopez, J. A. Rodriguez, Rollings, A., Roloff, P., Romanovskiy, V., Lamas, M. Romero, Vidal, A. Romero, Roth, J. D., Rotondo, M., Rudolph, M. S., Ruf, T., Vidal, J. Ruiz, Ryzhikov, A., Ryzka, J., Silva, J. J. Saborido, Sagidova, N., Sahoo, N., Saitta, B., Salomoni, M., Gonzalo, D. Sanchez, Gras, C. Sanchez, Santacesaria, R., Rios, C. Santamarina, Santimaria, M., Santovetti, E., Saranin, D., Sarpis, G., Sarpis, M., Sarti, A., Satriano, C., Satta, A., Saur, M., Savrina, D., Sazak, H., Smead, L. G. Scantlebury, Scarabotto, A., Schael, S., Schiller, M., Schindler, H., Schmelling, M., Schmidt, B., Schneider, O., Schopper, A., Schubiger, M., Schulte, S., Schune, M. H., Schwemmer, R., Sciascia, B., Sellam, S., Semennikov, A., Soares, M. Senghi, Sergi, A., Serra, N., Sestini, L., Seuthe, A., Seyfert, P., Shang, Y., Shangase, D. M., Shapkin, M., Shchemerov, I., Shchutska, L., Shears, T., Shekhtman, L., Shen, Z., Shevchenko, V., Shields, E. B., Shmanin, E., Shupperd, J. D., Siddi, B. G., Coutinho, R. Silva, Simi, G., Simone, S., Skidmore, N., Skwarnicki, T., Slater, M. W., Slazyk, I., Smallwood, J. C., Smeaton, J. G., Smetkina, A., Smith, E., Smith, M., Snoch, A., Soares, M., Lavra, L. Soares, Sokoloff, M. D., Soler, F. J. P., Solovev, A., Solovyev, I., De Almeida, F. L. Souza, De Paula, B. Souza, Spaan, B., Norella, E. Spadaro, Spradlin, P., Stagni, F., Stahl, M., Stahl, S., Stefko, P., Steinkamp, O., Stenyakin, O., Stevens, H., Stone, S., Stramaglia, M. E., Straticiuc, M., Strekalina, D., Suljik, F., Sun, J., Sun, L., Sun, Y., Svihra, P., Swallow, P. N., Swientek, K., Szabelski, A., Szumlak, T., Szymanski, M., Taneja, S., Tanner, A. R., Terentev, A., Teubert, F., Thomas, E., Thomson, K. A., Tisserand, V., T'Jampens, S., Tobin, M., Tomassetti, L., Machado, D. Torres, Tou, D. Y., Tran, M. T., Trifonova, E., Trippl, C., Tuci, G., Tully, A., Tuning, N., Ukleja, A., Unverzagt, D. J., Ursov, E., Usachov, A., Ustyuzhanin, A., Uwer, U., Vagner, A., Vagnoni, V., Valassi, A., Valenti, G., Canudas, N. Valls, van Beuzekom, M., Van Dijk, M., van Herwijnen, E., Van Hulse, C. B., van Veghel, M., Gomez, R. Vazquez, Regueiro, P. Vazquez, Sierra, C. Vázquez, Vecchi, S., Velthuis, J. J., Veltri, M., Venkateswaran, A., Veronesi, M., Vesterinen, M., Vieira, D., Diaz, M. Vieites, Viemann, H., Vilasis-Cardona, X., Figueras, E. Vilella, Villa, A., Vincent, P., Bruch, D. Vom, Vorobyev, A., Vorobyev, V., Voropaev, N., Vos, K., Waldi, R., Walsh, J., Wang, C., Wang, J., Wang, M., Wang, R., Wang, Y., Wang, Z., Wark, H. M., Watson, N. K., Weber, S. G., Websdale, D., Weisser, C., Westhenry, B. D. C., White, D. J., Whitehead, M., Wiedner, D., Wilkinson, G., Wilkinson, M., Williams, I., Williams, M., Williams, M. R. J., Wilson, F. F., Wislicki, W., Witek, M., Witola, L., Wormser, G., Wotton, S. A., Wu, H., Wyllie, K., Xiang, Z., Xiao, D., Xie, Y., Xu, A., Xu, J., Xu, L., Xu, M., Xu, Q., Xu, Z., Yang, D., Yang, S., Yang, Y., Yang, Z., Yao, Y., Yeomans, L. E., Yin, H., Yu, J., Yuan, X., Yushchenko, O., Zaffaroni, E., Zavertyaev, M., Zdybal, M., Zenaiev, O., Zeng, M., Zhang, D., Zhang, L., Zhang, S., Zhang, Y., Zharkova, A., Zhelezov, A., Zheng, Y., Zhou, X., Zhou, Y., Zhu, X., Zhu, Z., Zhukov, V., Zonneveld, J. B., Zou, Q., Zucchelli, S., Zuliani, D., and Zunica, G.
Subjects: High Energy Physics - Experiment
Abstract: The differential cross-section of prompt inclusive production of long-lived charged particles in proton-proton collisions is measured using a data sample recorded by the LHCb experiment at a centre-of-mass energy of ${\sqrt{s} = 13\,\mathrm{TeV}}$. The data sample, collected with an unbiased trigger, corresponds to an integrated luminosity of ${5.4\,\mathrm{nb}^{-1}}$. The differential cross-section is measured as a function of transverse momentum and pseudorapidity in the ranges ${p_\mathrm{T} \in [0.08, 10)\,\mathrm{GeV}\,c^{-1}}$ and ${\eta \in [2.0, 4.8)}$ and is determined separately for positively and negatively charged particles. The results are compared with predictions from various hadronic-interaction models., Comment: All figures and tables, along with any supplementary material and additional information, are available at https://cern.ch/lhcbproject/Publications/p/LHCb-PAPER-2021-010.html (LHCb public pages)
Published: 2021
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45. Dark Energy Survey Year 3 Results: Galaxy Sample for BAO Measurement

Author: Rosell, A. Carnero, Rodriguez-Monroy, M., Crocce, M., Elvin-Poole, J., Porredon, A., Ferrero, I., Mena-Fernandez, J., Cawthon, R., De Vicente, J., Gaztanaga, E., Ross, A. J., Sanchez, E., Sevilla-Noarbe, I., Alves, O., Andrade-Oliveira, F., Asorey, J., Avila, S., Brandao-Souza, A., Camacho, H., Chan, K. C., Ferte, A., Muir, J., Riquelme, W., Rosenfeld, R., Cid, D. Sanchez, Hartley, W. G., Weaverdyck, N., Abbott, T., Aguena, M., Sahar, A., Annis, J., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D., Calcino, J., Carollo, D., Kind, M. Carrasco, Carretero, J., Castander, F., Choi, A., Conselice, C., Costanzi, M., da Costa, L., Pereira, M. E. da Silva, Davis, T., Desai, S., Diehl, H. T., Doel, P., Drlica-Wagner, A., Eckert, K., Everett, S., Evrard, A., Flaugher, B., Fosalba, P., Frieman, J., Garcia-Bellido, J., Gerdes, D., Giannantonio, T., Glazebrook, K., Gruen, D., Gruendl, R., Gschwend, J., Gutierrez, G., Hinton, S., Hollowood, D., Honscheid, K., Hoyle, B., Huterer, D., James, D., Kim, A., Krause, E., Kuehn, K., Lahav, O., Lewis, G., Lidman, C., Lima, M., Maia, M., Malik, U., Marshall, J., Menanteau, F., Miquel, R., Mohr, J., Moller, A., Morgan, R., Ogando, R., Palmese, A., Paz-Chinchon, F., Percival, W., Pieres, A., Malagon, A. Plazas, Roodman, A., Scarpine, V., Schubnell, M., Serrano, S., Sharp, R., Sheldon, E., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M., Tarle, G., Thomas, D., To, C., Tucker, B., Tucker, D., Uddin, S., Varga, T. N., and Collaboration, DES
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: In this paper we present and validate the galaxy sample used for the analysis of the Baryon Acoustic Oscillation signal (BAO) in the Dark Energy Survey (DES) Y3 data. The definition is based on a colour and redshift-dependent magnitude cut optimized to select galaxies at redshifts higher than 0.5, while ensuring a high quality photometric redshift determination. The sample covers $\approx 4100$ square degrees to a depth of $i = 22.3 \ (AB)$ at $10\sigma$. It contains 7,031,993 galaxies in the redshift range from $z$= 0.6 to 1.1, with a mean effective redshift of 0.835. Photometric redshifts are estimated with the machine learning algorithm DNF, and are validated using the VIPERS PDR2 sample. We find a mean redshift bias of $z_{\mathrm{bias}} \approx 0.01$ and a mean uncertainty, in units of $1+z$, of $\sigma_{68} \approx 0.03$. We evaluate the galaxy population of the sample, showing it is mostly built upon Elliptical to Sbc types. Furthermore, we find a low level of stellar contamination of $\lesssim 4\%$. We present the method used to mitigate the effect of spurious clustering coming from observing conditions and other large-scale systematics. We apply it to the DES Y3 BAO sample and calculate sample weights that are used to get a robust estimate of the galaxy clustering signal. This paper is one of a series dedicated to the analysis of the BAO signal in the DES Y3 data. In the companion papers, Ferrero et al. (2021) and DES Collaboration (2021), we present the galaxy mock catalogues used to calibrate the analysis and the angular diameter distance constraints obtained through the fitting to the BAO scale, respectively. The galaxy sample, masks and additional material will be released in the public DES data repository upon acceptance., Comment: Accepted for publication in MNRAS. 24 pages, 24 figures
Published: 2021
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46. Dark Energy Survey Year 3 Results: A 2.7% measurement of Baryon Acoustic Oscillation distance scale at redshift 0.835

Author: DES Collaboration, Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Asorey, J., Avila, S., Bernstein, G. M., Bertin, E., Brandao-Souza, A., Brooks, D., Burke, D. L., Calcino, J., Camacho, H., Rosell, A. Carnero, Carollo, D., Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Chan, K. C., Choi, A., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Eckert, K., Elvin-Poole, J., Everett, S., Evrard, A. E., Fang, X., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Glazebrook, K., Gomes, D., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Jain, B., James, D. J., Jeltema, T., Kokron, N., Krause, E., Kuehn, K., Lahav, O., Lewis, G. F., Lidman, C., Lima, M., Lin, H., Maia, M. A. G., Malik, U., Martini, P., Melchior, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Muir, J., Myles, J., Möller, A., Palmese, A., Paz-Chinchón, F., Percival, W. J., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Rosenfeld, R., Ross, A. J., Sanchez, E., Cid, D. Sanchez, Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Troxel, M. A., Tucker, B. E., Tucker, D. L., Tutusaus, I., Uddin, S. A., Varga, T. N., Weller, J., and Wilkinson, R. D.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present angular diameter measurements obtained by measuring the position of Baryon Acoustic Oscillations (BAO) in an optimised sample of galaxies from the first three years of Dark Energy Survey data (DES Y3). The sample consists of 7 million galaxies distributed over a footprint of 4100 deg$^2$ with $0.6 < z_{\rm photo} < 1.1$ and a typical redshift uncertainty of $0.03(1+z)$. The sample selection is the same as in the BAO measurement with the first year of DES data, but the analysis presented here uses three times the area, extends to higher redshift and makes a number of improvements, including a fully analytical BAO template, the use of covariances from both theory and simulations, and an extensive pre-unblinding protocol. We used two different statistics: angular correlation function and power spectrum, and validate our pipeline with an ensemble of over 1500 realistic simulations. Both statistics yield compatible results. We combine the likelihoods derived from angular correlations and spherical harmonics to constrain the ratio of comoving angular diameter distance $D_M$ at the effective redshift of our sample to the sound horizon scale at the drag epoch. We obtain $D_M(z_{\rm eff}=0.835)/r_{\rm d} = 18.92 \pm 0.51$, which is consistent with, but smaller than, the Planck prediction assuming flat \lcdm, at the level of $2.3 \sigma$. The analysis was performed blind and is robust to changes in a number of analysis choices. It represents the most precise BAO distance measurement from imaging data to date, and is competitive with the latest transverse ones from spectroscopic samples at $z>0.75$. When combined with DES 3x2pt + SNIa, they lead to improvements in $H_0$ and $\Omega_m$ constraints by $\sim 20\%$, Comment: 24 pages, 10 figures, matches version accepted by PRD
Published: 2021
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47. Dark Energy Survey Year 3 Results: Galaxy mock catalogs for BAO analysis

Author: Ferrero, I., Crocce, M., Tutusaus, I., Porredon, A., Blot, L., Fosalba, P., Rosell, A. Carnero, Avila, S., Izard, A., Elvin-Poole, J., Chan, K. C., Camacho, H., Rosenfeld, R., Sanchez, E., Tallada-Crespí, P., Carretero, J., Sevilla-Noarbe, I., Gaztanaga, E., Andrade-Oliveira, F., De Vicente, J., Mena-Fernández, J., Ross, A. J., Cid, D. Sanchez, Ferté, A., Brandao-Souza, A., Fang, X., Krause, E., Gomes, D., Aguena, M., Allam, S., Annis, J., Bertin, E., Brooks, D., Kind, M. Carrasco, Castander, F. J., Cawthon, R., Choi, A., Conselice, C., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Diehl, H. T., Doel, P., Drlica-Wagner, A., Everett, S., Evrard, A. E., Flaugher, B., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., Huterer, D., James, D. J., Kuehn, K., Lima, M., Maia, M. A. G., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Muir, J., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Percival, W. J., Malagón, A. A. Plazas, Rodriguez-Monroy, M., Scarpine, V., Schubnell, M., Serrano, S., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Tucker, D. L., and Varga, T. N.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The calibration and validation of scientific analysis in simulations is a fundamental tool to ensure unbiased and robust results in observational cosmology. In particular, mock galaxy catalogs are a crucial resource to achieve these goals in the measurement of baryon acoustic oscillation (BAO) in the clustering of galaxies. Here we present a set of 1952 galaxy mock catalogs designed to mimic the Dark Energy Survey (DES) Year 3 BAO sample over its full photometric redshift range $0.6
Published: 2021
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48. Observation of excited $\Omega_c^0$ baryons in $\Omega_b^- \to \Xi_c^+ K^-\pi^-$ decays

Author: LHCb collaboration, Aaij, R., Beteta, C. Abellán, Ackernley, T., Adeva, B., Adinolfi, M., Afsharnia, H., Aidala, C. A., Aiola, S., Ajaltouni, Z., Akar, S., Albrecht, J., Alessio, F., Alexander, M., Albero, A. Alfonso, Aliouche, Z., Alkhazov, G., Cartelle, P. Alvarez, Amato, S., Amhis, Y., An, L., Anderlini, L., Andreianov, A., Andreotti, M., Archilli, F., Artamonov, A., Artuso, M., Arzymatov, K., Aslanides, E., Atzeni, M., Audurier, B., Bachmann, S., Bachmayer, M., Back, J. J., Rodriguez, P. Baladron, Balagura, V., Baldini, W., Leite, J. Baptista, Barlow, R. J., Barsuk, S., Barter, W., Bartolini, M., Baryshnikov, F., Basels, J. M., Bassi, G., Batsukh, B., Battig, A., Bay, A., Becker, M., Bedeschi, F., Bediaga, I., Beiter, A., Belavin, V., Belin, S., Bellee, V., Belous, K., Belov, I., Belyaev, I., Bencivenni, G., Ben-Haim, E., Berezhnoy, A., Bernet, R., Berninghoff, D., Bernstein, H. C., Bertella, C., Bertolin, A., Betancourt, C., Betti, F., Bezshyiko, Ia., Bhasin, S., Bhom, J., Bian, L., Bieker, M. S., Bifani, S., Billoir, P., Birch, M., Bishop, F. C. R., Bitadze, A., Bizzeti, A., Bjørn, M., Blago, M. P., Blake, T., Blanc, F., Blusk, S., Bobulska, D., Boelhauve, J. A., Garcia, O. Boente, Boettcher, T., Boldyrev, A., Bondar, A., Bondar, N., Borghi, S., Borisyak, M., Borsato, M., Borsuk, J. T., Bouchiba, S. A., Bowcock, T. J. V., Boyer, A., Bozzi, C., Bradley, M. J., Braun, S., Rodriguez, A. Brea, Brodski, M., Brodzicka, J., Gonzalo, A. Brossa, Brundu, D., Buonaura, A., Burr, C., Bursche, A., Butkevich, A., Butter, J. S., Buytaert, J., Byczynski, W., Cadeddu, S., Cai, H., Calabrese, R., Calefice, L., Diaz, L. Calero, Cali, S., Calladine, R., Calvi, M., Gomez, M. Calvo, Magalhaes, P. Camargo, Campana, P., Quezada, A. F. Campoverde, Capelli, S., Capriotti, L., Carbone, A., Carboni, G., Cardinale, R., Cardini, A., Carli, I., Carniti, P., Carus, L., Akiba, K. Carvalho, Vidal, A. Casais, Casse, G., Cattaneo, M., Cavallero, G., Celani, S., Cerasoli, J., Chadwick, A. J., Chapman, M. G., Charles, M., Charpentier, Ph., Chatzikonstantinidis, G., Barajas, C. A. Chavez, Chefdeville, M., Chen, C., Chen, S., Chernov, A., Chobanova, V., Cholak, S., Chrzaszcz, M., Chubykin, A., Chulikov, V., Ciambrone, P., Cicala, M. F., Vidal, X. Cid, Ciezarek, G., Clarke, P. E. L., Clemencic, M., Cliff, H. V., Closier, J., Cobbledick, J. L., Coco, V., Coelho, J. A. B., Cogan, J., Cogneras, E., Cojocariu, L., Collins, P., Colombo, T., Congedo, L., Contu, A., Cooke, N., Coombs, G., Corredoira, I., Corti, G., Sobral, C. M. Costa, Couturier, B., Craik, D. C., Crkovská, J., Torres, M. Cruz, Currie, R., Da Silva, C. L., Dadabaev, S., Dall'Occo, E., Dalseno, J., D'Ambrosio, C., Danilina, A., d'Argent, P., Davis, A., Francisco, O. De Aguiar, De Bruyn, K., De Capua, S., De Cian, M., De Miranda, J. M., De Paula, L., De Serio, M., De Simone, D., De Simone, P., de Vries, J. A., Dean, C. T., Decamp, D., Del Buono, L., Delaney, B., Dembinski, H. -P., Dendek, A., Denysenko, V., Derkach, D., Deschamps, O., Desse, F., Dettori, F., Dey, B., Di Cicco, A., Di Nezza, P., Didenko, S., Maronas, L. Dieste, Dijkstra, H., Dobishuk, V., Donohoe, A. M., Dordei, F., Reis, A. C. dos, Douglas, L., Dovbnya, A., Downes, A. G., Dreimanis, K., Dudek, M. W., Dufour, L., Duk, V., Durante, P., Durham, J. M., Dutta, D., Dziurda, A., Dzyuba, A., Easo, S., Egede, U., Egorychev, V., Eidelman, S., Eisenhardt, S., Ek-In, S., Eklund, L., Ely, S., Ene, A., Epple, E., Escher, S., Eschle, J., Esen, S., Evans, T., Falabella, A., Fan, J., Fan, Y., Fang, B., Farry, S., Fazzini, D., Féo, M., Prieto, A. Fernandez, Arribas, J. M. Fernandez-tenllado, Fernez, A. D., Ferrari, F., Lopes, L. Ferreira, Rodrigues, F. Ferreira, Sole, S. Ferreres, Ferrillo, M., Ferro-Luzzi, M., Filippov, S., Fini, R. A., Fiorini, M., Firlej, M., Fischer, K. M., Fitzgerald, D. S., Fitzpatrick, C., Fiutowski, T., Fkiaras, A., Fleuret, F., Fontana, M., Fontanelli, F., Forty, R., Lima, V. Franco, Sevilla, M. Franco, Frank, M., Franzoso, E., Frau, G., Frei, C., Friday, D. A., Fu, J., Fuehring, Q., Funk, W., Gabriel, E., Gaintseva, T., Torreira, A. Gallas, Galli, D., Gambetta, S., Gan, Y., Gandelman, M., Gandini, P., Gao, Y., Garau, M., Martin, L. M. Garcia, Moreno, P. Garcia, Pardiñas, J. García, Plana, B. Garcia, Rosales, F. A. Garcia, Garrido, L., Gaspar, C., Geertsema, R. E., Gerick, D., Gerken, L. L., Gersabeck, E., Gersabeck, M., Gershon, T., Gerstel, D., Ghez, Ph., Gibson, V., Giemza, H. K., Giovannetti, M., Gioventù, A., Gironell, P. Gironella, Giubega, L., Giugliano, C., Gizdov, K., Gkougkousis, E. L., Gligorov, V. V., Göbel, C., Golobardes, E., Golubkov, D., Golutvin, A., Gomes, A., Fernandez, S. Gomez, Abrantes, F. Goncalves, Goncerz, M., Gong, G., Gorbounov, P., Gorelov, I. V., Gotti, C., Govorkova, E., Grabowski, J. P., Grammatico, T., Cardoso, L. A. Granado, Graugés, E., Graverini, E., Graziani, G., Grecu, A., Greeven, L. M., Griffith, P., Grillo, L., Gromov, S., Cazon, B. R. Gruberg, Gu, C., Guarise, M., Günther, P. A., Gushchin, E., Guth, A., Guz, Y., Gys, T., Hadavizadeh, T., Haefeli, G., Haen, C., Haimberger, J., Halewood-leagas, T., Hamilton, P. M., Hammerich, J. P., Han, Q., Han, X., Hancock, T. H., Hansmann-Menzemer, S., Harnew, N., Harrison, T., Hasse, C., Hatch, M., He, J., Hecker, M., Heijhoff, K., Heinicke, K., Hennequin, A. M., Hennessy, K., Henry, L., Heuel, J., Hicheur, A., Hill, D., Hilton, M., Hollitt, S. E., Hu, J., Hu, W., Hu, X., Huang, W., Huang, X., Hulsbergen, W., Hunter, R. J., Hushchyn, M., Hutchcroft, D., Hynds, D., Ibis, P., Idzik, M., Ilin, D., Ilten, P., Inglessi, A., Ishteev, A., Ivshin, K., Jacobsson, R., Jakobsen, S., Jans, E., Jashal, B. K., Jawahery, A., Jevtic, V., Jezabek, M., Jiang, F., John, M., Johnson, D., Jones, C. R., Jones, T. P., Jost, B., Jurik, N., Kandybei, S., Kang, Y., Karacson, M., Karpov, M., Keizer, F., Kenzie, M., Ketel, T., Khanji, B., Kharisova, A., Kholodenko, S., Kirn, T., Kirsebom, V. S., Kitouni, O., Klaver, S., Klimaszewski, K., Koliiev, S., Kondybayeva, A., Konoplyannikov, A., Kopciewicz, P., Kopecna, R., Koppenburg, P., Korolev, M., Kostiuk, I., Kot, O., Kotriakhova, S., Kravchenko, P., Kravchuk, L., Krawczyk, R. D., Kreps, M., Kress, F., Kretzschmar, S., Krokovny, P., Krupa, W., Krzemien, W., Kucewicz, W., Kucharczyk, M., Kudryavtsev, V., Kuindersma, H. S., Kunde, G. J., Kvaratskheliya, T., Lacarrere, D., Lafferty, G., Lai, A., Lampis, A., Lancierini, D., Lane, J. J., Lane, R., Lanfranchi, G., Langenbruch, C., Langer, J., Lantwin, O., Latham, T., Lazzari, F., Gac, R. Le, Lee, S. H., Lefèvre, R., Leflat, A., Legotin, S., Leroy, O., Lesiak, T., Leverington, B., Li, H., Li, L., Li, P., Li, S., Li, Y., Li, Z., Liang, X., Lin, T., Lindner, R., Lisovskyi, V., Litvinov, R., Liu, G., Liu, H., Liu, S., Loi, A., Castro, J. Lomba, Longstaff, I., Lopes, J. H., Lovell, G. H., Lu, Y., Lucchesi, D., Luchuk, S., Martinez, M. Lucio, Lukashenko, V., Luo, Y., Lupato, A., Luppi, E., Lupton, O., Lusiani, A., Lyu, X., Ma, L., Ma, R., Maccolini, S., Machefert, F., Maciuc, F., Macko, V., Mackowiak, P., Maddrell-Mander, S., Madejczyk, O., Mohan, L. R. Madhan, Maev, O., Maevskiy, A., Maisuzenko, D., Majewski, M. W., Malczewski, J. J., Malde, S., Malecki, B., Malinin, A., Maltsev, T., Malygina, H., Manca, G., Mancinelli, G., Manuzzi, D., Marangotto, D., Maratas, J., Marchand, J. F., Marconi, U., Mariani, S., Benito, C. Marin, Marinangeli, M., Marks, J., Marshall, A. M., Marshall, P. J., Martellotti, G., Martinazzoli, L., Martinelli, M., Santos, D. Martinez, Vidal, F. 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B., Zou, Q., Zucchelli, S., Zuliani, D., and Zunica, G.
Subjects: High Energy Physics - Experiment
Abstract: The first observation of the $\Omega_b^- \to \Xi_c^+ K^- \pi^-$ decay is reported using $pp$ collision data at centre-of-mass energies of 7, 8 and 13\,$\mathrm{TeV}$ collected by the LHCb experiment, corresponding to an integrated luminosity of 9\,$\mathrm{fb}^{-1}$. Four excited $\Omega_c^0$ baryons are observed in the $\Xi_c^+ K^-$ mass projection of the $\Omega_b^- \to \Xi_c^+ K^- \pi^-$ decays with the significance of each exceeding five standard deviations. They coincide with the states previously observed in prompt \proton\proton and $e^+e^-$ production. Relative production rates, masses and natural widths of the states are measured, and a test of spin hypotheses is performed. Moreover, the branching ratio of $\Omega_b^- \to \Xi_c^+ K^- \pi^-$ is measured relative to the $\Omega_b^- \to \Omega_c^0 \pi^-$ decay mode and a precise measurement of the $\Omega_b^-$ mass of \mbox{$6044.3 \pm 1.2 \pm 1.1^{\,+0.19}_{\,-0.22}\,\mathrm{MeV}$} is obtained., Comment: All figures and tables, along with any supplementary material and additional information, are available at https://cern.ch/lhcbproject/Publications/p/LHCb-PAPER-2021-012.html (LHCb public pages)
Published: 2021
Full Text: View/download PDF

49. Study of coherent $J/\psi$ production in lead-lead collisions at $\sqrt{s_{NN}} = 5 TeV$

Author: Aaij, R., Beteta, C. Abellán, Ackernley, T., Adeva, B., Adinolfi, M., Afsharnia, H., Aidala, C. A., Aiola, S., Ajaltouni, Z., Akar, S., Albrecht, J., Alessio, F., Alexander, M., Albero, A. Alfonso, Aliouche, Z., Alkhazov, G., Cartelle, P. Alvarez, Amato, S., Amhis, Y., An, L., Anderlini, L., Andreianov, A., Andreotti, M., Archilli, F., Artamonov, A., Artuso, M., Arzymatov, K., Aslanides, E., Atzeni, M., Audurier, B., Bachmann, S., Bachmayer, M., Back, J. J., Rodriguez, P. Baladron, Balagura, V., Baldini, W., Leite, J. Baptista, Barlow, R. J., Barsuk, S., Barter, W., Bartolini, M., Baryshnikov, F., Basels, J. M., Bassi, G., Batsukh, B., Battig, A., Bay, A., Becker, M., Bedeschi, F., Bediaga, I., Beiter, A., Belavin, V., Belin, S., Bellee, V., Belous, K., Belov, I., Belyaev, I., Bencivenni, G., Ben-Haim, E., Berezhnoy, A., Bernet, R., Berninghoff, D., Bernstein, H. C., Bertella, C., Bertolin, A., Betancourt, C., Betti, F., Bezshyiko, Ia., Bhasin, S., Bhom, J., Bian, L., Bieker, M. S., Bifani, S., Billoir, P., Birch, M., Bishop, F. C. R., Bitadze, A., Bizzeti, A., Bjørn, M., Blago, M. P., Blake, T., Blanc, F., Blusk, S., Bobulska, D., Boelhauve, J. A., Garcia, O. Boente, Boettcher, T., Boldyrev, A., Bondar, A., Bondar, N., Borghi, S., Borisyak, M., Borsato, M., Borsuk, J. T., Bouchiba, S. A., Bowcock, T. J. V., Boyer, A., Bozzi, C., Bradley, M. J., Braun, S., Rodriguez, A. Brea, Brodski, M., Brodzicka, J., Gonzalo, A. Brossa, Brundu, D., Buonaura, A., Burr, C., Bursche, A., Butkevich, A., Butter, J. S., Buytaert, J., Byczynski, W., Cadeddu, S., Cai, H., Calabrese, R., Calefice, L., Diaz, L. Calero, Cali, S., Calladine, R., Calvi, M., Gomez, M. Calvo, Magalhaes, P. Camargo, Camboni, A., Campana, P., Quezada, A. F. 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M., Nieswand, S., Nikitin, N., Nolte, N. S., Nunez, C., Oblakowska-Mucha, A., Obraztsov, V., O'Hanlon, D. P., Oldeman, R., Olivares, M. E., Onderwater, C. J. G., Ossowska, A., Goicochea, J. M. Otalora, Ovsiannikova, T., Owen, P., Oyanguren, A., Pagare, B., Pais, P. R., Pajero, T., Palano, A., Palutan, M., Pan, Y., Panshin, G., Papanestis, A., Pappagallo, M., Pappalardo, L. L., Pappenheimer, C., Parker, W., Parkes, C., Parkinson, C. J., Passalacqua, B., Passaleva, G., Pastore, A., Patel, M., Patrignani, C., Pawley, C. J., Pearce, A., Pellegrino, A., Altarelli, M. Pepe, Perazzini, S., Pereima, D., Perret, P., Petric, M., Petridis, K., Petrolini, A., Petrov, A., Petrucci, S., Petruzzo, M., Pham, T. T. H., Philippov, A., Pica, L., Piccini, M., Pietrzyk, B., Pietrzyk, G., Pili, M., Pinci, D., Pisani, F., K, Resmi P., Placinta, V., Plews, J., Casasus, M. Plo, Polci, F., Lener, M. Poli, Poliakova, M., Poluektov, A., Polukhina, N., Polyakov, I., Polycarpo, E., Pomery, G. J., Ponce, S., Popov, D., Popov, S., Poslavskii, S., Prasanth, K., Promberger, L., Prouve, C., Pugatch, V., Pullen, H., Punzi, G., Qian, W., Qin, J., Quagliani, R., Quintana, B., Raab, N. V., Trejo, R. I. Rabadan, Rachwal, B., Rademacker, J. H., Rama, M., Pernas, M. Ramos, Rangel, M. S., Ratnikov, F., Raven, G., Reboud, M., Redi, F., Reiss, F., Alepuz, C. Remon, Ren, Z., Renaudin, V., Ribatti, R., Ricciardi, S., Rinnert, K., Robbe, P., Robertson, G., Rodrigues, A. B., Rodrigues, E., Lopez, J. A. Rodriguez, Rollings, A., Roloff, P., Romanovskiy, V., Lamas, M. Romero, Vidal, A. Romero, Roth, J. D., Rotondo, M., Rudolph, M. S., Ruf, T., Vidal, J. Ruiz, Ryzhikov, A., Ryzka, J., Silva, J. J. Saborido, Sagidova, N., Sahoo, N., Saitta, B., Salomoni, M., Gonzalo, D. Sanchez, Gras, C. Sanchez, Santacesaria, R., Rios, C. Santamarina, Santimaria, M., Santovetti, E., Saranin, D., Sarpis, G., Sarpis, M., Sarti, A., Satriano, C., Satta, A., Saur, M., Savrina, D., Sazak, H., Smead, L. G. Scantlebury, Schael, S., Schellenberg, M., Schiller, M., Schindler, H., Schmelling, M., Schmidt, B., Schneider, O., Schopper, A., Schubiger, M., Schulte, S., Schune, M. H., Schwemmer, R., Sciascia, B., Sellam, S., Semennikov, A., Soares, M. Senghi, Sergi, A., Serra, N., Sestini, L., Seuthe, A., Seyfert, P., Shang, Y., Shangase, D. M., Shapkin, M., Shchemerov, I., Shchutska, L., Shears, T., Shekhtman, L., Shen, Z., Shevchenko, V., Shields, E. B., Shmanin, E., Shupperd, J. D., Siddi, B. G., Coutinho, R. Silva, Simi, G., Simone, S., Skidmore, N., Skwarnicki, T., Slater, M. W., Slazyk, I., Smallwood, J. C., Smeaton, J. G., Smetkina, A., Smith, E., Smith, M., Snoch, A., Soares, M., Lavra, L. Soares, Sokoloff, M. D., Soler, F. J. P., Solovev, A., Solovyev, I., De Almeida, F. L. Souza, De Paula, B. Souza, Spaan, B., Norella, E. Spadaro, Spradlin, P., Stagni, F., Stahl, M., Stahl, S., Stefko, P., Steinkamp, O., Stenyakin, O., Stevens, H., Stone, S., Stramaglia, M. E., Straticiuc, M., Strekalina, D., Suljik, F., Sun, J., Sun, L., Sun, Y., Svihra, P., Swallow, P. N., Swientek, K., Szabelski, A., Szumlak, T., Szymanski, M., Taneja, S., Teubert, F., Thomas, E., Thomson, K. A., Tisserand, V., T'Jampens, S., Tobin, M., Tomassetti, L., Machado, D. Torres, Tou, D. Y., Tran, M. T., Trifonova, E., Trippl, C., Tuci, G., Tully, A., Tuning, N., Ukleja, A., Unverzagt, D. J., Ursov, E., Usachov, A., Ustyuzhanin, A., Uwer, U., Vagner, A., Vagnoni, V., Valassi, A., Valenti, G., Canudas, N. Valls, van Beuzekom, M., Van Dijk, M., van Herwijnen, E., Van Hulse, C. B., van Veghel, M., Gomez, R. Vazquez, Regueiro, P. Vazquez, Sierra, C. Vázquez, Vecchi, S., Velthuis, J. J., Veltri, M., Venkateswaran, A., Veronesi, M., Vesterinen, M., Vieira, D., Diaz, M. Vieites, Viemann, H., Vilasis-Cardona, X., Figueras, E. Vilella, Vincent, P., Bruch, D. Vom, Vorobyev, A., Vorobyev, V., Voropaev, N., Waldi, R., Walsh, J., Wang, C., Wang, J., Wang, M., Wang, R., Wang, Y., Wang, Z., Wark, H. M., Watson, N. K., Weber, S. G., Websdale, D., Weisser, C., Westhenry, B. D. C., White, D. J., Whitehead, M., Wiedner, D., Wilkinson, G., Wilkinson, M., Williams, I., Williams, M., Williams, M. R. J., Wilson, F. F., Wislicki, W., Witek, M., Witola, L., Wormser, G., Wotton, S. A., Wu, H., Wyllie, K., Xiang, Z., Xiao, D., Xie, Y., Xu, A., Xu, J., Xu, L., Xu, M., Xu, Q., Xu, Z., Yang, D., Yang, S., Yang, Y., Yang, Z., Yao, Y., Yeomans, L. E., Yin, H., Yu, J., Yuan, X., Yushchenko, O., Zaffaroni, E., Zavertyaev, M., Zdybal, M., Zenaiev, O., Zeng, M., Zhang, D., Zhang, L., Zhang, S., Zhang, Y., Zhelezov, A., Zheng, Y., Zhou, X., Zhou, Y., Zhu, X., Zhu, Z., Zhukov, V., Zonneveld, J. B., Zou, Q., Zucchelli, S., Zuliani, D., and Zunica, G.
Subjects: High Energy Physics - Experiment, Nuclear Experiment
Abstract: Coherent production of $J/\psi$ mesons is studied in ultraperipheral lead-lead collisions at a nucleon-nucleon centre-of-mass energy of 5 TeV, using a data sample collected by the LHCb experiment corresponding to an integrated luminosity of about $10 \mu b^{-1}$. The $J/\psi$ mesons are reconstructed in the dimuon final state and are required to have transverse momentum below 1 GeV. The cross-section within the rapidity range of $2.0 < y < 4.5$ is measured to be $4.45\pm0.24\pm0.18\pm0.58$ mb, where the first uncertainty is statistical, the second systematic and the third originates from the luminosity determination. The cross-section is also measured in $J/\psi$ rapidity intervals. The results are compared to predictions from phenomenological models., Comment: All figures and tables, along with machine-readable versions and any supplementary material and additional information, are available at https://cern.ch/lhcbproject/Publications/p/LHCb-PAPER-2021-013.html (LHCb public pages)
Published: 2021
Full Text: View/download PDF

50. Observation of the mass difference between neutral charm-meson eigenstates

Author: LHCb collaboration, Aaij, R., Beteta, C. Abellán, Ackernley, T., Adeva, B., Adinolfi, M., Afsharnia, H., Aidala, C. A., Aiola, S., Ajaltouni, Z., Akar, S., Albrecht, J., Alessio, F., Alexander, M., Albero, A. Alfonso, Aliouche, Z., Alkhazov, G., Cartelle, P. Alvarez, Amato, S., Amhis, Y., An, L., Anderlini, L., Andreianov, A., Andreotti, M., Archilli, F., Artamonov, A., Artuso, M., Arzymatov, K., Aslanides, E., Atzeni, M., Audurier, B., Bachmann, S., Bachmayer, M., Back, J. J., Rodriguez, P. Baladron, Balagura, V., Baldini, W., Leite, J. Baptista, Barlow, R. J., Barsuk, S., Barter, W., Bartolini, M., Baryshnikov, F., Basels, J. M., Bassi, G., Batsukh, B., Battig, A., Bay, A., Becker, M., Bedeschi, F., Bediaga, I., Beiter, A., Belavin, V., Belin, S., Bellee, V., Belous, K., Belov, I., Belyaev, I., Bencivenni, G., Ben-Haim, E., Berezhnoy, A., Bernet, R., Berninghoff, D., Bernstein, H. C., Bertella, C., Bertolin, A., Betancourt, C., Betti, F., Bezshyiko, Ia., Bhasin, S., Bhom, J., Bian, L., Bieker, M. S., Bifani, S., Billoir, P., Birch, M., Bishop, F. C. R., Bitadze, A., Bizzeti, A., Bjørn, M., Blago, M. P., Blake, T., Blanc, F., Blusk, S., Bobulska, D., Boelhauve, J. A., Garcia, O. Boente, Boettcher, T., Boldyrev, A., Bondar, A., Bondar, N., Borghi, S., Borisyak, M., Borsato, M., Borsuk, J. T., Bouchiba, S. A., Bowcock, T. J. V., Boyer, A., Bozzi, C., Bradley, M. J., Braun, S., Rodriguez, A. Brea, Brodski, M., Brodzicka, J., Gonzalo, A. Brossa, Brundu, D., Buonaura, A., Burr, C., Bursche, A., Butkevich, A., Butter, J. S., Buytaert, J., Byczynski, W., Cadeddu, S., Cai, H., Calabrese, R., Calefice, L., Diaz, L. Calero, Cali, S., Calladine, R., Calvi, M., Gomez, M. Calvo, Magalhaes, P. Camargo, Campana, P., Quezada, A. F. Campoverde, Capelli, S., Capriotti, L., Carbone, A., Carboni, G., Cardinale, R., Cardini, A., Carli, I., Carniti, P., Carus, L., Akiba, K. Carvalho, Vidal, A. Casais, Casse, G., Cattaneo, M., Cavallero, G., Celani, S., Cerasoli, J., Chadwick, A. J., Chapman, M. G., Charles, M., Charpentier, Ph., Chatzikonstantinidis, G., Barajas, C. A. Chavez, Chefdeville, M., Chen, C., Chen, S., Chernov, A., Chobanova, V., Cholak, S., Chrzaszcz, M., Chubykin, A., Chulikov, V., Ciambrone, P., Cicala, M. F., Vidal, X. Cid, Ciezarek, G., Clarke, P. E. L., Clemencic, M., Cliff, H. V., Closier, J., Cobbledick, J. L., Coco, V., Coelho, J. A. B., Cogan, J., Cogneras, E., Cojocariu, L., Collins, P., Colombo, T., Congedo, L., Contu, A., Cooke, N., Coombs, G., Corti, G., Sobral, C. M. Costa, Couturier, B., Craik, D. C., Crkovská, J., Torres, M. Cruz, Currie, R., Da Silva, C. L., Dadabaev, S., Dall'Occo, E., Dalseno, J., D'Ambrosio, C., Danilina, A., d'Argent, P., Davis, A., Francisco, O. De Aguiar, De Bruyn, K., De Capua, S., De Cian, M., De Miranda, J. M., De Paula, L., De Serio, M., De Simone, D., De Simone, P., de Vries, J. A., Dean, C. 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B., Zou, Q., Zucchelli, S., Zuliani, D., and Zunica, G.
Subjects: High Energy Physics - Experiment
Abstract: A measurement of mixing and $C\!P$ violation in neutral charm mesons is performed using data reconstructed in proton-proton collisions collected by the LHCb experiment from 2016 to 2018, corresponding to an integrated luminosity of 5.4$\textrm{fb}^{-1}$. A total of $30.6$ million $D^{0}\rightarrow K^{0}_{\mathrm{S}}\pi^{+}\pi^{-}$ decays are analyzed using a method optimized for the measurement of the mass difference between neutral charm-meson eigenstates. Allowing for $C\!P$ violation in mixing and in the interference between mixing and decay, the mass and decay-width differences are measured to be $x_{C\!P} = \left[3.97\pm0.46\textrm{(stat)}\pm 0.29\textrm{(syst)}\right]\times10^{-3}$ and $y_{C\!P} = \left[4.59\pm1.20\textrm{(stat)}\pm0.85\textrm{(syst)}\right]\times10^{-3}$, respectively. The $C\!P$-violating parameters are measured as $\Delta x = \left[-0.27\pm0.18\textrm{(stat)}\pm0.01\textrm{(syst)}\right]\times10^{-3}$ and $\Delta y = \left[0.20\pm0.36\textrm{(stat)}\pm0.13\textrm{(syst)}\right]\times10^{-3}$. This is the first observation of a nonzero mass difference in the $D^0$ meson system, with a significance exceeding seven standard deviations. The data are consistent with $C\!P$ symmetry, and improve existing constraints on the associated parameters., Comment: All figures and tables, along with machine-readable versions and any supplementary material and additional information, are available at https://cern.ch/lhcbproject/Publications/p/LHCb-PAPER-2021-009.html (LHCb public pages). Updated to correct sign of reported value of phi
Published: 2021
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