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2,210 results on '"Reinecke, M"'

1. Shower Separation in Five Dimensions for Highly Granular Calorimeters using Machine Learning

Author: Lai, S., Utehs, J., Wilhahn, A., Fouz, M. C., Bach, O., Brianne, E., Ebrahimi, A., Gadow, K., Göttlicher, P., Hartbrich, O., Heuchel, D., Irles, A., Krüger, K., Kvasnicka, J., Lu, S., Neubüser, C., Provenza, A., Reinecke, M., Sefkow, F., Schuwalow, S., De Silva, M., Sudo, Y., Tran, H. L., Liu, L., Masuda, R., Murata, T., Ootani, W., Seino, T., Takatsu, T., Tsuji, N., Pöschl, R., Richard, F., Zerwas, D., Hummer, F., Simon, F., Boudry, V., Brient, J-C., Nanni, J., Videau, H., Buhmann, E., Garutti, E., Huck, S., Kasieczka, G., Martens, S., Rolph, J., Wellhausen, J., Bilki, B., Northacker, D., Onel, Y., Emberger, L., and Graf, C.
Subjects: Physics - Instrumentation and Detectors
Abstract: To achieve state-of-the-art jet energy resolution for Particle Flow, sophisticated energy clustering algorithms must be developed that can fully exploit available information to separate energy deposits from charged and neutral particles. Three published neural network-based shower separation models were applied to simulation and experimental data to measure the performance of the highly granular CALICE Analogue Hadronic Calorimeter (AHCAL) technological prototype in distinguishing the energy deposited by a single charged and single neutral hadron for Particle Flow. The performance of models trained using only standard spatial and energy and charged track position information from an event was compared to models trained using timing information available from AHCAL, which is expected to improve sensitivity to shower development and, therefore, aid in clustering. Both simulation and experimental data were used to train and test the models and their performances were compared. The best-performing neural network achieved significantly superior event reconstruction when timing information was utilised in training for the case where the charged hadron had more energy than the neutral one, motivating temporally sensitive calorimeters. All models under test were observed to tend to allocate energy deposited by the more energetic of the two showers to the less energetic one. Similar shower reconstruction performance was observed for a model trained on simulation and applied to data and a model trained and applied to data.
Published: 2024

2. Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter

Author: Aamir, M., Acar, B., Adamov, G., Adams, T., Adloff, C., Afanasiev, S., Agrawal, C., Ahmad, A., Ahmed, H. A., Akbar, S., Akchurin, N., Akgul, B., Akgun, B., Akpinar, R. O., Aktas, E., AlKadhim, A., Alexakhin, V., Alimena, J., Alison, J., Alpana, A., Alshehri, W., Dominguez, P. Alvarez, Alyari, M., Amendola, C., Amir, R. B., Andersen, S. B., Andreev, Y., Antoszczuk, P. D., Aras, U., Ardila, L., Aspell, P., Avila, M., Awad, I., Aydilek, O., Azimi, Z., Pretel, A. Aznar, Bach, O. A., Bainbridge, R., Bakshi, A., Bam, B., Banerjee, S., Barney, D., Bayraktar, O., Beaudette, F., Beaujean, F., Becheva, E., Behera, P. K., Belloni, A., Bergauer, T., Besancon, M., Bylund, O. Bessidskaia, Bhatt, L., Bhowmil, D., Blekman, F., Blinov, P., Bloch, P., Bodek, A., Boger, a., Bonnemaison, A., Bouyjou, F., Brennan, L., Brondolin, E., Brusamolino, A., Bubanja, I., Perraguin, A. Buchot, Bunin, P., Misura, A. Burazin, Butler-nalin, A., Cakir, A., Callier, S., Campbell, S., Canderan, K., Cankocak, K., Cappati, A., Caregari, S., Carron, S., Carty, C., Cauchois, A., Ceard, L., Cerci, S., Chang, P. J., Chatterjee, R. M., Chatterjee, S., Chattopadhyay, P., Chatzistavrou, T., Chaudhary, M. S., Chauhan, A., Chen, J. A., Chen, J., Chen, Y., Cheng, K., Cheung, H., Chhikara, J., Chiron, A., Chiusi, M., Chokheli, D., Chudasama, R., Clement, E., Mendez, S. Coco, Coko, D., Coskun, K., Couderc, F., Crossman, B., Cui, Z., Cuisset, T., Cummings, G., Curtis, E. M., D'Alfonso, M., D-hler-ball, J., Dadazhanova, O., Damgov, J., Das, I., DasGupta, S., Dauncey, P., Mendes, A. David Tinoco, Davies, G., Davignon, O., DeLa, P. deBarbaroC., DeSilva, M., DeWit, A., Debbins, P., Defranchis, M. M., Delagnes, E., Devouge, P., Dewangan, C., DiGuglielmo, G., Diehl, L., Dilsiz, K., Dincer, G. G., Dittmann, J., Dragicevic, M., Du, D., Dubinchik, B., Dugad, S., Dulucq, F., Dumanoglu, I., Duran, B., Dutta, S., Dutta, V., Dychkant, A., Dünser, M., Edberg, T., Ehle, I. T., Berni, A. El, Elias, F., Eno, S. C., Erdogan, E. N., Erkmen, B., Ershov, Y., Ertorer, E. Y., Extier, S., Eychenne, L., Fedar, Y. E., Fedi, G., De Almeida, J. P. Figueiredo De De Sá Sousa, Alves, B. A. Fontana Santos Santos, Frahm, E., Francis, K., Freeman, J., French, T., Gaede, F., Gandhi, P. K., Ganjour, S., Garcia-Bellido, A., Gastaldi, F., Gazi, L., Gecse, Z., Gerwig, H., Gevin, O., Ghosh, S., Gill, K., Gleyzer, S., Godinovic, N., Goek, M., Goettlicher, P., Goff, R., Golunov, A., Gonultas, B., Martínez, J. D. González, Gorbounov, N., Gouskos, L., Gray, A., Gray, L., Grieco, C., Groenroos, S., Groner, D., Gruber, A., Grummer, A., Grönroos, S., Guilloux, F., Guler, Y., Gungordu, A. D., Guo, J., Guo, K., Guler, E. Gurpinar, Gutti, H. K., Guvenli, A. A., Gülmez, E., Hacisahinoglu, B., Halkin, Y., Machado, G. Hamilton Ilha, Hare, H. S., Hatakeyama, K., Heering, A. H., Hegde, V., Heintz, U., Hinton, N., Hinzmann, A., Hirschauer, J., Hitlin, D., Hos, İ., Hou, B., Hou, X., Howard, A., Howe, C., Hsieh, H., Hsu, T., Hua, H., Hummer, F., Imran, M., Incandela, J., Iren, E., Isildak, B., Jackson, P. S., Jackson, W. J., Jain, S., Jana, P., Jaroslavceva, J., Jena, S., Jige, A., Jordano, P. P., Joshi, U., Kaadze, K., Kafizov, A., Kalipoliti, L., Tharayil, A. Kallil, Kaluzinska, O., Kamble, S., Kaminskiy, A., Kanemura, M., Kanso, H., Kao, Y., Kapic, A., Kapsiak, C., Karjavine, V., Karmakar, S., Karneyeu, A., Kaya, M., Topaksu, A. Kayis, Kaynak, B., Kazhykarim, Y., Khan, F. A., Khudiakov, A., Kieseler, J., Kim, R. S., Klijnsma, T., Kloiber, E. G., Klute, M., Kocak, Z., Kodali, K. R., Koetz, K., Kolberg, T., Kolcu, O. B., Komaragiri, J. R., Komm, M., Kopsalis, I., Krause, H. A., Krawczyk, M. A., Vinayakam, T. R. Krishnaswamy, Kristiansen, K., Kristic, A., Krohn, M., Kronheim, B., Krüger, K., Kudtarkar, C., Kulis, S., Kumar, M., Kumar, N., Kumar, S., Verma, R. Kumar, Kunori, S., Kunts, A., Kuo, C., Kurenkov, A., Kuryatkov, V., Kyre, S., Ladenson, J., Lamichhane, K., Landsberg, G., Langford, J., Laudrain, A., Laughlin, R., Lawhorn, J., Dortz, O. Le, Lee, S. W., Lektauers, A., Lelas, D., Leon, M., Levchuk, L., Li, A. J., Li, J., Li, Y., Liang, Z., Liao, H., Lin, K., Lin, W., Lin, Z., Lincoln, D., Linssen, L., Litomin, A., Liu, G., Liu, Y., Lobanov, A., Lohezic, V., Loiseau, T., Lu, C., Lu, R., Lu, S. Y., Lukens, P., Mackenzie, M., Magnan, A., Magniette, F., Mahjoub, A., Mahon, D., Majumder, G., Makarenko, V., Malakhov, A., Malgeri, L., Mallios, S., Mandloi, C., Mankel, A., Mannelli, M., Mans, J., Mantilla, C., Martinez, G., Massa, C., Masterson, P., Matthewman, M., Matveev, V., Mayekar, S., Mazlov, I., Mehta, A., Mestvirishvili, A., Miao, Y., Milella, G., Mirza, I. R., Mitra, P., Moccia, S., Mohanty, G. B., Monti, F., Moortgat, F., Murthy, S., Music, J., Musienko, Y., Nabili, S., Nayak, S., Nelson, J. W., Nema, A., Neutelings, I., Niedziela, J., Nikitenko, A., Noonan, D., Noy, M., Nurdan, K., Obraztsov, S., Ochando, C., Ogul, H., Olsson, J., Onel, Y., Ozkorucuklu, S., Paganis, E., Palit, P., Pan, R., Pandey, S., Pantaleo, F., Papageorgakis, C., Paramesvaran, S., Paranjpe, M. M., Parolia, S., Parsons, A. G., Parygin, P., Paulini, M., Paus, C., Peñaló, K., Pedro, K., Pekic, V., Peltola, T., Peng, B., Perego, A., Perini, D., Petrilli, A., Pham, H., Pierre-Emile, T., Podem, S. K., Popov, V., Portales, L., Potok, O., Pradeep, P. B., Pramanik, R., Prosper, H., Prvan, M., Qasim, S. R., Qu, H., Quast, T., Trivino, A. Quiroga, Rabour, L., Raicevic, N., Rajpoot, H., Rao, M. A., Rapacz, K., Redjeb, W., Reinecke, M., Revering, M., Roberts, A., Rohlf, J., Rosado, P., Rose, A., Rothman, S., Rout, P. K., Rovere, M., Rumerio, P., Rusack, R., Rygaard, L., Ryjov, V., Sadivnycha, S., Sahin, M. Ö., Sakarya, U., Salerno, R., Saradhy, R., Saraf, M., Sarbandi, K., Sarkisla, M. A., Satyshev, I., Saud, N., Sauvan, J., Schindler, G., Schmidt, A., Schmidt, I., Schmitt, M. H., Sculac, A., Sculac, T., Sedelnikov, A., Seez, C., Sefkow, F., Selivanova, D., Selvaggi, M., Sergeychik, V., Sert, H., Shahid, M., Sharma, P., Sharma, R., Sharma, S., Shelake, M., Shenai, A., Shih, C. W., Shinde, R., Shmygol, D., Shukla, R., Sicking, E., Silva, P., Simsek, C., Simsek, E., Sirasva, B. K., Sirois, Y., Song, S., Song, Y., Soudais, G., Sriram, S., StJacques, R. R., StahlLeiton, A. G., Steen, A., Stein, J., Strait, J., Strobbe, N., Su, X., Sukhov, E., Suleiman, A., Cerci, D. Sunar, Suryadevara, P., Swain, K., Syal, C., Tali, B., Tanay, K., Tang, W., Tanvir, A., Tao, J., Tarabini, A., Tatli, T., Taylor, R., Taysi, Z. C., Teafoe, G., Tee, C. Z., Terrill, W., Thienpont, D., Thomas, R., Titov, M., Todd, C., Todd, E., Toms, M., Tosun, A., Troska, J., Tsai, L., Tsamalaidze, Z., Tsionou, D., Tsipolitis, G., Tsirigoti, M., Tu, R., Polat, S. N. Tural, Undleeb, S., Usai, E., Uslan, E., Ustinov, V., Vernazza, E., Viahin, O., Viazlo, O., Vichoudis, P., Vijay, A., Virdee, T., Voirin, E., Vojinovic, M., Voytishin, N., Vámi, T. Á., Wade, A., Walter, D., Wang, C., Wang, F., Wang, J., Wang, K., Wang, X., Wang, Y., Wang, Z., Wanlin, E., Wayne, M., Wetzel, J., Whitbeck, A., Wickwire, R., Wilmot, D., Wilson, J., Wu, H., Xiao, M., Yang, J., Yazici, B., Ye, Y., Yetkin, T., Yi, R., Yohay, R., Yu, T., Yuan, C., Yuan, X., Yuksel, O., YushmanoV, I., Yusuff, I., Zabi, A., Zareckis, D., Zarubin, A., Zehetner, P., Zghiche, A., Zhang, C., Zhang, D., Zhang, H., Zhang, J., Zhang, Z., Zhao, X., Zhong, J., Zhou, Y., and Zorbilmez, Ç.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment, Physics - Data Analysis, Statistics and Probability
Abstract: A novel method to reconstruct the energy of hadronic showers in the CMS High Granularity Calorimeter (HGCAL) is presented. The HGCAL is a sampling calorimeter with very fine transverse and longitudinal granularity. The active media are silicon sensors and scintillator tiles readout by SiPMs and the absorbers are a combination of lead and Cu/CuW in the electromagnetic section, and steel in the hadronic section. The shower reconstruction method is based on graph neural networks and it makes use of a dynamic reduction network architecture. It is shown that the algorithm is able to capture and mitigate the main effects that normally hinder the reconstruction of hadronic showers using classical reconstruction methods, by compensating for fluctuations in the multiplicity, energy, and spatial distributions of the shower's constituents. The performance of the algorithm is evaluated using test beam data collected in 2018 prototype of the CMS HGCAL accompanied by a section of the CALICE AHCAL prototype. The capability of the method to mitigate the impact of energy leakage from the calorimeter is also demonstrated., Comment: Prepared for submission to JINST
Published: 2024

3. Software Compensation for Highly Granular Calorimeters using Machine Learning

Author: Lai, S., Utehs, J., Wilhahn, A., Bach, O., Brianne, E., Ebrahimi, A., Gadow, K., Göttlicher, P., Hartbrich, O., Heuchel, D., Irles, A., Krüger, K., Kvasnicka, J., Lu, S., Neubüser, C., Provenza, A., Reinecke, M., Sefkow, F., Schuwalow, S., De Silva, M., Sudo, Y., Tran, H. L., Buhmann, E., Garutti, E., Huck, S., Kasieczka, G., Martens, S., Rolph, J., Wellhausen, J., Blazey, G. C., Dyshkant, A., Francis, K., Zutshi, V., Bilki, B., Northacker, D., Onel, Y., Hummer, F., Simon, F., Kawagoe, K., Onoe, T., Suehara, T., Tsumura, S., Yoshioka, T., Fouz, M. C., Emberger, L., Graf, C., Wagner, M., Pöschl, R., Richard, F., Zerwas, D., Boudry, V., Brient, J-C., Nanni, J., Videau, H., Liu, L., Masuda, R., Murata, T., Ootani, W., Takatsu, T., Tsuji, N., Chadeeva, M., Danilov, M., Korpachev, S., and Rusinov, V.
Subjects: Physics - Instrumentation and Detectors
Abstract: A neural network for software compensation was developed for the highly granular CALICE Analogue Hadronic Calorimeter (AHCAL). The neural network uses spatial and temporal event information from the AHCAL and energy information, which is expected to improve sensitivity to shower development and the neutron fraction of the hadron shower. The neural network method produced a depth-dependent energy weighting and a time-dependent threshold for enhancing energy deposits consistent with the timescale of evaporation neutrons. Additionally, it was observed to learn an energy-weighting indicative of longitudinal leakage correction. In addition, the method produced a linear detector response and outperformed a published control method regarding resolution for every particle energy studied.
Published: 2024

4. BEYONDPLANCK

Author: Svalheim, TL, Andersen, KJ, Aurlien, R, Banerji, R, Bersanelli, M, Bertocco, S, Brilenkov, M, Carbone, M, Colombo, LPL, Eriksen, HK, Foss, MK, Franceschet, C, Fuskeland, U, Galeotta, S, Galloway, M, Gerakakis, S, Gjerløw, E, Hensley, B, Herman, D, Iacobellis, M, Ieronymaki, M, Ihle, HT, Jewell, JB, Karakci, A, Keihänen, E, Keskitalo, R, Maggio, G, Maino, D, Maris, M, Paradiso, S, Partridge, B, Reinecke, M, Suur-Uski, A-S, Tavagnacco, D, Thommesen, H, Watts, DJ, Wehus, IK, and Zacchei, A
Subjects: Astronomical Sciences, Physical Sciences, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics, Space sciences
Abstract: Using the Planck Low Frequency Instrument (LFI) and WMAP data within the global Bayesian BEYONDPLANCK framework, we constrained the polarized foreground emission between 30 and 70 GHz. We combined, for the first time, full-resolution Planck LFI time-ordered data with low-resolution WMAP sky maps at 33, 40, and 61 GHz. The spectral parameters were fit with a likelihood defined at the native resolution of each frequency channel. This analysis represents the first implementation of true multi-resolution component separation applied to CMB observations for both amplitude and spectral energy distribution (SED) parameters. For the synchrotron emission, we approximated the SED as a power-law in frequency and we find that the low signal-to-noise ratio of the current data strongly limits the number of free parameters that can be robustly constrained. We partitioned the sky into four large disjoint regions (High Latitude; Galactic Spur; Galactic Plane; and Galactic Center), each associated with its own power-law index. We find that the High Latitude region is prior-dominated, while the Galactic Center region is contaminated by residual instrumental systematics. The two remaining regions appear to be signal-dominated, and for these we derive spectral indices of βsSpur=3.17±0.06 and βsPlane=3.03±0.07, which is in good agreement with previous results. For the thermal dust emission, we assumed a modified blackbody model and we fit a single power-law index across the full sky. We find βda =â 1.64±0.03, which is slightly steeper than the value reported in Planck HFI data, but still statistically consistent at the 2Ï confidence level.
Published: 2023

5. BEYONDPLANCK

Author: Galloway, M, Andersen, KJ, Aurlien, R, Banerji, R, Bersanelli, M, Bertocco, S, Brilenkov, M, Carbone, M, Colombo, LPL, Eriksen, HK, Eskilt, JR, Foss, MK, Franceschet, C, Fuskeland, U, Galeotta, S, Gerakakis, S, Gjerløw, E, Hensley, B, Herman, D, Iacobellis, M, Ieronymaki, M, Ihle, HT, Jewell, JB, Karakci, A, Keihänen, E, Keskitalo, R, Maggio, G, Maino, D, Maris, M, Mennella, A, Paradiso, S, Partridge, B, Reinecke, M, San, M, Suur-Uski, A-S, Svalheim, TL, Tavagnacco, D, Thommesen, H, Watts, DJ, Wehus, IK, and Zacchei, A
Subjects: Space Sciences, Particle and High Energy Physics, Astronomical Sciences, Physical Sciences, Bioengineering, Genetics, Networking and Information Technology R&D (NITRD), Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics, Space sciences
Abstract: We describe the computational infrastructure for end-to-end Bayesian cosmic microwave background (CMB) analysis implemented by the BeyondPlanck Collaboration. The code is called Commander3. It provides a statistically consistent framework for global analysis of CMB and microwave observations and may be useful for a wide range of legacy, current, and future experiments. The paper has three main goals. Firstly, we provide a high-level overview of the existing code base, aiming to guide readers who wish to extend and adapt the code according to their own needs or re-implement it from scratch in a different programming language. Secondly, we discuss some critical computational challenges that arise within any global CMB analysis framework, for instance in-memory compression of time-ordered data, fast Fourier transform optimization, and parallelization and load-balancing. Thirdly, we quantify the CPU and RAM requirements for the current BEYONDPLANCK analysis, finding that a total of 1.5 TB of RAM is required for efficient analysis and that the total cost of a full Gibbs sample for LFI is 170 CPU-hrs, including both low-level processing and high-level component separation, which is well within the capabilities of current low-cost computing facilities. The existing code base is made publicly available under a GNU General Public Library (GPL) license.
Published: 2023

6. BEYONDPLANCK

Author: Herman, D, Hensley, B, Andersen, KJ, Aurlien, R, Banerji, R, Bersanelli, M, Bertocco, S, Brilenkov, M, Carbone, M, Colombo, LPL, Eriksen, HK, Foss, MK, Fuskeland, U, Galeotta, S, Galloway, M, Gerakakis, S, Gjerløw, E, Iacobellis, M, Ieronymaki, M, Ihle, HT, Jewell, JB, Karakci, A, Keihänen, E, Keskitalo, R, Maggio, G, Maino, D, Maris, M, Paradiso, S, Partridge, B, Reinecke, M, Suur-Uski, A-S, Svalheim, TL, Tavagnacco, D, Thommesen, H, Wehus, IK, and Zacchei, A
Subjects: Astronomical Sciences, Physical Sciences, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics, Space sciences
Abstract: We constrained the level of polarized anomalous microwave emission (AME) on large angular scales using Planck Low-Frequency Instrument (LFI) and WMAP polarization data within a Bayesian cosmic microwave background (CMB) analysis framework. We modeled synchrotron emission with a power-law spectral energy distribution, as well as the sum of AME and thermal dust emission through linear regression with the Planck High-Frequency Instrument (HFI) 353 GHz data. This template-based dust emission model allowed us to constrain the level of polarized AME while making minimal assumptions on its frequency dependence. We neglected CMB fluctuations, but show through simulations that these fluctuations have a minor impact on the results. We find that the resulting AME polarization fraction confidence limit is sensitive to the polarized synchrotron spectral index prior. In addition, for prior means βsâ
Published: 2023

7. BEYONDPLANCK

Author: Gjerløw, E, Ihle, HT, Galeotta, S, Andersen, KJ, Aurlien, R, Banerji, R, Bersanelli, M, Bertocco, S, Brilenkov, M, Carbone, M, Colombo, LPL, Eriksen, HK, Foss, MK, Franceschet, C, Fuskeland, U, Galloway, M, Gerakakis, S, Hensley, B, Herman, D, Iacobellis, M, Ieronymaki, M, Jewell, JB, Karakci, A, Keihänen, E, Keskitalo, R, Maggio, G, Maino, D, Maris, M, Paradiso, S, Partridge, B, Reinecke, M, Suur-Uski, A-S, Svalheim, TL, Tavagnacco, D, Thommesen, H, Watts, DJ, Wehus, IK, and Zacchei, A
Subjects: Astronomical Sciences, Physical Sciences, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics, Space sciences
Abstract: We present a Bayesian calibration algorithm for cosmic microwave background (CMB) observations as implemented within the global end-to-end BEYONDPLANCK framework and applied to the Planck Low Frequency Instrument (LFI) data. Following the most recent Planck analysis, we decomposed the full time-dependent gain into a sum of three nearly orthogonal components: one absolute calibration term, common to all detectors, one time-independent term that can vary between detectors, and one time-dependent component that was allowed to vary between one-hour pointing periods. Each term was then sampled conditionally on all other parameters in the global signal model through Gibbs sampling. The absolute calibration is sampled using only the orbital dipole as a reference source, while the two relative gain components were sampled using the full sky signal, including the orbital and Solar CMB dipoles, CMB fluctuations, and foreground contributions. We discuss various aspects of the data that influence gain estimation, including the dipole-polarization quadrupole degeneracy and processing masks. Comparing our solution to previous pipelines, we find good agreement in general, with relative deviations of 0.67% (0.84%) for 30 GHz, 0.12% (0.04%) for 44 GHz and 0.03% (0.64%) for 70 GHz, compared to Planck PR4 and Planck 2018, respectively. We note that the BEYONDPLANCK calibration was performed globally, which results in better inter-frequency consistency than previous estimates. Additionally, WMAP observations were used actively in the BEYONDPLANCK analysis, which both breaks internal degeneracies in the Planck data set and results in an overall better agreement with WMAP. Finally, we used a Wiener filtering approach to smoothing the gain estimates. We show that this method avoids artifacts in the correlated noise maps as a result of oversmoothing the gain solution, which is difficult to avoid with methods like boxcar smoothing, as Wiener filtering by construction maintains a balance between data fidelity and prior knowledge. Although our presentation and algorithm are currently oriented toward LFI processing, the general procedure is fully generalizable to other experiments, as long as the Solar dipole signal is available to be used for calibration.
Published: 2023

8. BEYONDPLANCK

Author: Keihänen, E, Suur-Uski, A-S, Andersen, KJ, Aurlien, R, Banerji, R, Basyrov, A, Bersanelli, M, Bertocco, S, Brilenkov, M, Carbone, M, Colombo, LPL, Eriksen, HK, Eskilt, JR, Foss, MK, Franceschet, C, Fuskeland, U, Galeotta, S, Galloway, M, Gerakakis, S, Gjerløw, E, Hensley, B, Herman, D, Iacobellis, M, Ieronymaki, M, Ihle, HT, Jewell, JB, Karakci, A, Keskitalo, R, Maggio, G, Maino, D, Maris, M, Mennella, A, Paradiso, S, Partridge, B, Reinecke, M, San, M, Svalheim, TL, Tavagnacco, D, Thommesen, H, Watts, DJ, Wehus, IK, and Zacchei, A
Subjects: Space Sciences, Particle and High Energy Physics, Astronomical Sciences, Physical Sciences, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics, Space sciences
Abstract: We present a Gibbs sampling solution to the mapmaking problem for cosmic microwave background (CMB) measurements that builds on existing destriping methodology. Gibbs sampling breaks the computationally heavy destriping problem into two separate steps: noise filtering and map binning. Considered as two separate steps, both are computationally much cheaper than solving the combined problem. This provides a huge performance benefit as compared to traditional methods and it allows us, for the first time, to bring the destriping baseline length to a single sample. Here, we applied the Gibbs procedure to simulated Planck 30 GHz data. We find that gaps in the time-ordered data are handled efficiently by filling them in with simulated noise as part of the Gibbs process. The Gibbs procedure yields a chain of map samples, from which we are able to compute the posterior mean as a best-estimate map. The variation in the chain provides information on the correlated residual noise, without the need to construct a full noise covariance matrix. However, if only a single maximum-likelihood frequency map estimate is required, we find that traditional conjugate gradient solvers converge much faster than a Gibbs sampler in terms of the total number of iterations. The conceptual advantages of the Gibbs sampling approach lies in statistically well-defined error propagation and systematic error correction. This methodology thus forms the conceptual basis for the mapmaking algorithm employed in the BEYONDPLANCK framework, which implements the first end-to-end Bayesian analysis pipeline for CMB observations.
Published: 2023

9. BEYONDPLANCK

Author: Basyrov, A, Suur-Uski, A-S, Colombo, LPL, Eskilt, JR, Paradiso, S, Andersen, KJ, Aurlien, R, Banerji, R, Bersanelli, M, Bertocco, S, Brilenkov, M, Carbone, M, Eriksen, HK, Foss, MK, Franceschet, C, Fuskeland, U, Galeotta, S, Galloway, M, Gerakakis, S, Gjerløw, E, Hensley, B, Herman, D, Iacobellis, M, Ieronymaki, M, Ihle, HT, Jewell, JB, Karakci, A, Keihänen, E, Keskitalo, R, Maggio, G, Maino, D, Maris, M, Partridge, B, Reinecke, M, Svalheim, TL, Tavagnacco, D, Thommesen, H, Watts, DJ, Wehus, IK, and Zacchei, A
Subjects: Astronomical Sciences, Physical Sciences, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics, Space sciences
Abstract: We present Planck Low Frequency Instrument (LFI) frequency sky maps derived within the BEYONDPLANCK framework. This framework draws samples from a global posterior distribution that includes instrumental, astrophysical, and cosmological parameters, and the main product is an entire ensemble of frequency sky map samples, each of which corresponds to one possible realization of the various modeled instrumental systematic corrections, including correlated noise, time-variable gain, as well as far sidelobe and bandpass corrections. This ensemble allows for computationally convenient end-to-end propagation of low-level instrumental uncertainties into higher-level science products, including astrophysical component maps, angular power spectra, and cosmological parameters. We show that the two dominant sources of LFI instrumental systematic uncertainties are correlated noise and gain fluctuations, and the products presented here support -for the first time -full Bayesian error propagation for these effects at full angular resolution. We compared our posterior mean maps with traditional frequency maps delivered by the Planck Collaboration, and find generally good agreement. The most important quality improvement is due to significantly lower calibration uncertainties in the new processing, as we find a fractional absolute calibration uncertainty at 70 GHz of δg0/g0â =â 5Ã - 105, which is nominally 40 times smaller than that reported by Planck 2018. However, we also note that the original Planck 2018 estimate has a nontrivial statistical interpretation, and this further illustrates the advantage of the new framework in terms of producing self-consistent and well-defined error estimates of all involved quantities without the need of ad hoc uncertainty contributions. We describe how low-resolution data products, including dense pixel-pixel covariance matrices, may be produced from the posterior samples directly, without the need for computationally expensive analytic calculations or simulations. We conclude that posterior-based frequency map sampling provides unique capabilities in terms of low-level systematics modeling and error propagation, and may play an important role for future Cosmic Microwave Background (CMB) B-mode experiments aiming at nanokelvin precision.
Published: 2023

10. BEYONDPLANCK

Author: Andersen, KJ, Aurlien, R, Banerji, R, Basyrov, A, Bersanelli, M, Bertocco, S, Brilenkov, M, Carbone, M, Colombo, LPL, Eriksen, HK, Eskilt, JR, Foss, MK, Franceschet, C, Fuskeland, U, Galeotta, S, Galloway, M, Gerakakis, S, Gjerløw, E, Hensley, B, Herman, D, Iacobellis, M, Ieronymaki, M, Ihle, HT, Jewell, JB, Karakci, A, Keihänen, E, Keskitalo, R, Lunde, JGS, Maggio, G, Maino, D, Maris, M, Mennella, A, Paradiso, S, Partridge, B, Reinecke, M, San, M, Stutzer, N-O, Suur-Uski, A-S, Svalheim, TL, Tavagnacco, D, Thommesen, H, Watts, DJ, Wehus, IK, and Zacchei, A
Subjects: Space Sciences, Particle and High Energy Physics, Astronomical Sciences, Physical Sciences, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics, Space sciences
Abstract: We describe the BEYONDPLANCK project in terms of our motivation, methodology, and main products, and provide a guide to a set of companion papers that describe each result in more detail. Building directly on experience from ESA's Planck mission, we implemented a complete end-to-end Bayesian analysis framework for the Planck Low Frequency Instrument (LFI) observations. The primary product is a full joint posterior distribution P(Ï â £d), where Ï represents the set of all free instrumental (gain, correlated noise, bandpass, etc.), astrophysical (synchrotron, free-free, thermal dust emission, etc.), and cosmological (cosmic microwave background -CMB -map, power spectrum, etc.) parameters. Some notable advantages of this approach compared to a traditional pipeline procedure are seamless end-to-end propagation of uncertainties; accurate modeling of both astrophysical and instrumental effects in the most natural basis for each uncertain quantity; optimized computational costs with little or no need for intermediate human interaction between various analysis steps; and a complete overview of the entire analysis process within one single framework. As a practical demonstration of this framework, we focus in particular on low-â CMB polarization reconstruction with Planck LFI. In this process, we identify several important new effects that have not been accounted for in previous pipelines, including gain over-smoothing and time-variable and non-1/f correlated noise in the 30 and 44 GHz channels. Modeling and mitigating both previously known and newly discovered systematic effects, we find that all results are consistent with the Î CDM model, and we constrained the reionization optical depth to Ï â =â 0.066±0.013, with a low-resolution CMB-based Ï 2 probability to exceed of 32%. This uncertainty is about 30% larger than the official pipelines, arising from taking a more complete instrumental model into account. The marginal CMB solar dipole amplitude is 3362.7±1.4â μK, where the error bar was derived directly from the posterior distribution without the need of any ad hoc instrumental corrections. We are currently not aware of any significant unmodeled systematic effects remaining in the Planck LFI data, and, for the first time, the 44 GHz channel is fully exploited in the current analysis. We argue that this framework can play a central role in the analysis of many current and future high-sensitivity CMB experiments, including LiteBIRD, and it will serve as the computational foundation of the emerging community-wide COSMOGLOBE effort, which aims to combine state-of-the-art radio, microwave, and submillimeter data sets into one global astrophysical model.
Published: 2023

11. From BEYONDPLANCK to COSMOGLOBE: Preliminary WMAP Q-band analysis

Author: Watts, DJ, Galloway, M, Ihle, HT, Andersen, KJ, Aurlien, R, Banerji, R, Basyrov, A, Bersanelli, M, Bertocco, S, Brilenkov, M, Carbone, M, Colombo, LPL, Eriksen, HK, Eskilt, JR, Foss, MK, Franceschet, C, Fuskeland, U, Galeotta, S, Gerakakis, S, Gjerløw, E, Hensley, B, Herman, D, Iacobellis, M, Ieronymaki, M, Jewell, JB, Karakci, A, Keihänen, E, Keskitalo, R, Lunde, JGS, Maggio, G, Maino, D, Maris, M, Paradiso, S, Partridge, B, Reinecke, M, San, M, Stutzer, N-O, Suur-Uski, A-S, Svalheim, TL, Tavagnacco, D, Thommesen, H, Wehus, IK, and Zacchei, A
Subjects: Space Sciences, Particle and High Energy Physics, Astronomical Sciences, Physical Sciences, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics, Space sciences
Abstract: We present the first application of the COSMOGLOBE analysis framework by analyzing nine-year WMAP time-ordered observations that uses similar machinery to that of BEYONDPLANCK for the Planck Low Frequency Instrument (LFI). We analyzed only the Q-band (41 GHz) data and report on the low-level analysis process based on uncalibrated time-ordered data to calibrated maps. Most of the existing BEYONDPLANCK pipeline may be reused for WMAP analysis with minimal changes to the existing codebase. The main modification is the implementation of the same preconditioned biconjugate gradient mapmaker used by the WMAP team. Producing a single WMAP Q1-band sample requires 22 CPU-hrs, which is slightly more than the cost of a Planck 44 GHz sample of 17 CPU-hrs; this demonstrates that a full end-to-end Bayesian processing of the WMAP data is computationally feasible. In general, our recovered maps are very similar to the maps released by the WMAP team, although with two notable differences. In terms of temperature, we find a ∼2â μK quadrupole difference that most likely is caused by different gain modeling, while in polarization we find a distinct 2.5â μK signal that has been previously referred to as poorly measured modes by the WMAP team. In the COSMOGLOBE processing, this pattern arises from temperature-to-polarization leakage from the coupling between the CMB Solar dipole, transmission imbalance, and sidelobes. No traces of this pattern are found in either the frequency map or TOD residual map, suggesting that the current processing has succeeded in modeling these poorly measured modes within the assumed parametric model by using Planck information to break the sky-synchronous degeneracies inherent in the WMAP scanning strategy.
Published: 2023

12. BEYONDPLANCK

Author: Colombo, LPL, Eskilt, JR, Paradiso, S, Thommesen, H, Andersen, KJ, Aurlien, R, Banerji, R, Basyrov, A, Bersanelli, M, Bertocco, S, Brilenkov, M, Carbone, M, Eriksen, HK, Foss, MK, Franceschet, C, Fuskeland, U, Galeotta, S, Galloway, M, Gerakakis, S, Gjerløw, E, Hensley, B, Herman, D, Iacobellis, M, Ieronymaki, M, Ihle, HT, Jewell, JB, Karakci, A, Keihänen, E, Keskitalo, R, Maggio, G, Maino, D, Maris, M, Partridge, B, Reinecke, M, Suur-Uski, A-S, Svalheim, TL, Tavagnacco, D, Watts, DJ, Wehus, IK, and Zacchei, A
Subjects: Space Sciences, Particle and High Energy Physics, Astronomical Sciences, Physical Sciences, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics, Space sciences
Abstract: We present posterior sample-based cosmic microwave background (CMB) constraints from Planck LFI and WMAP observations as derived through global end-to-end Bayesian processing within the BeyondPlanck framework. We first used these samples to study correlations between CMB, foreground, and instrumental parameters. We identified a particularly strong degeneracy between CMB temperature fluctuations and free-free emission on intermediate angular scales (400 ≤ ∫ ≤ 600), mitigated through model reduction, masking, and resampling. We compared our posterior-based CMB results with previous Planck products and found a generally good agreement, however, with notably higher noise due to our exclusion of Planck HFI data.We found a best-fit CMB dipole amplitude of 3362:7 ± 1:4 μK, which is in excellent agreement with previous Planck results. The quoted dipole uncertainty is derived directly from the sampled posterior distribution and does not involve any ad hoc contributions for Planck instrumental systematic effects. Similarly, we find a temperature quadrupole amplitude of φTT 2 = 229 ± 97 μK2, which is in good agreement with previous results in terms of the amplitude, but the uncertainty is one order of magnitude greater than the naive diagonal Fisher uncertainty. Concurrently, we find less evidence of a possible alignment between the quadrupole and octopole than previously reported, due to a much larger scatter in the individual quadrupole coeffcients that is caused both by marginalizing over a more complete set of systematic effects – as well as by requiring a more conservative analysis mask to mitigate the free-free degeneracy. For higher multipoles, we find that the angular temperature power spectrum is generally in good agreement with both Planck and WMAP. At the same time, we note that this is the first time that the sample-based, asymptotically exact Blackwell-Rao estimator has been successfully established for multipoles up to ∫ ≤ 600. It now accounts for the majority of the cosmologically important information. Overall, this analysis demonstrates the unique capabilities of the Bayesian approach with respect to end-to-end systematic uncertainty propagation and we believe it can and should play an important role in the analysis of future CMB experiments. Cosmological parameter constraints are presented in a companion paper.
Published: 2023

13. BEYONDPLANCK

Author: Brilenkov, M, Fornazier, KSF, Hergt, LT, Hoerning, GA, Marins, A, Murokoshi, T, Rahman, F, Stutzer, N-O, Zhou, Y, Abdalla, FB, Andersen, KJ, Aurlien, R, Banerji, R, Basyrov, A, Battista, A, Bersanelli, M, Bertocco, S, Bollanos, S, Colombo, LPL, Eriksen, HK, Eskilt, JR, Foss, MK, Franceschet, C, Fuskeland, U, Galeotta, S, Galloway, M, Gerakakis, S, Gjerløw, E, Hensley, B, Herman, D, Hoang, TD, Ieronymaki, M, Ihle, HT, Jewell, JB, Karakci, A, Keihänen, E, Keskitalo, R, Maggio, G, Maino, D, Maris, M, Paradiso, S, Partridge, B, Reinecke, M, Suur-Uski, A-S, Svalheim, TL, Tavagnacco, D, Thommesen, H, Tomasi, M, Watts, DJ, Wehus, IK, and Zacchei, A
Subjects: Space Sciences, Particle and High Energy Physics, Astronomical Sciences, Physical Sciences, cosmic background radiation, cosmology, observations, diffuse radiation, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics, Space sciences
Abstract: End-to-end simulations play a key role in the analysis of any high-sensitivity cosmic microwave background (CMB) experiment, providing high-fidelity systematic error propagation capabilities that are unmatched by any other means. In this paper, we address an important issue regarding such simulations, namely, how to define the inputs in terms of sky model and instrument parameters. These may either be taken as a constrained realization derived from the data or as a random realization independent from the data. We refer to these as posterior and prior simulations, respectively. We show that the two options lead to significantly different correlation structures, as prior simulations (contrary to posterior simulations) effectively include cosmic variance, but they exclude realization-specific correlations from non-linear degeneracies. Consequently, they quantify fundamentally different types of uncertainties. We argue that as a result, they also have different and complementary scientific uses, even if this dichotomy is not absolute. In particular, posterior simulations are in general more convenient for parameter estimation studies, while prior simulations are generally more convenient for model testing. Before BEYONDPLANCK, most pipelines used a mix of constrained and random inputs and applied the same hybrid simulations for all applications, even though the statistical justification for this is not always evident. BEYONDPLANCK represents the first end-to-end CMB simulation framework that is able to generate both types of simulations and these new capabilities have brought this topic to the forefront. The BEYONDPLANCK posterior simulations and their uses are described extensively in a suite of companion papers. In this work, we consider one important applications of the corresponding prior simulations, namely, code validation. Specifically, we generated a set of one-year LFI 30 GHz prior simulations with known inputs and we used these to validate the core low-level BEYONDPLANCK algorithms dealing with gain estimation, correlated noise estimation, and mapmaking.
Published: 2023

14. BEYONDPLANCK

Author: Paradiso, S, Colombo, LPL, Andersen, KJ, Aurlien, R, Banerji, R, Basyrov, A, Bersanelli, M, Bertocco, S, Brilenkov, M, Carbone, M, Eriksen, HK, Eskilt, JR, Foss, MK, Franceschet, C, Fuskeland, U, Galeotta, S, Galloway, M, Gerakakis, S, Gjerløw, E, Hensley, B, Herman, D, Iacobellis, M, Ieronymaki, M, Ihle, HT, Jewell, JB, Karakci, A, Keihänen, E, Keskitalo, R, Maggio, G, Maino, D, Maris, M, Partridge, B, Reinecke, M, San, M, Suur-Uski, A-S, Svalheim, TL, Tavagnacco, D, Thommesen, H, Watts, DJ, Wehus, IK, and Zacchei, A
Subjects: Space Sciences, Particle and High Energy Physics, Astronomical Sciences, Physical Sciences, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics, Space sciences
Abstract: We present cosmological parameter constraints estimated using the Bayesian BeyondPlanck analysis framework. This method supports seamless end-to-end error propagation from raw time-ordered data onto final cosmological parameters. As a first demonstration of the method, we analyzed time-ordered Planck LFI observations, combined with selected external data (WMAP 33–61 GHz, Planck HFI DR4 353 and 857 GHz, and Haslam 408 MHz) in the form of pixelized maps that are used to break critical astrophysical degeneracies. Overall, all the results are generally in good agreement with previously reported values from Planck 2018 and WMAP, with the largest relative difference for any parameter amounting about 1φ when considering only temperature multipoles between 30 ≤ ∫ ≤ 600. In cases where there are differences, we note that the BeyondPlanck results are generally slightly closer to the high- ∫ HFI-dominated Planck 2018 results than previous analyses, suggesting slightly less tension between low and high multipoles. Using low- ∫ polarization information from LFI and WMAP, we find a best-fit value of φ = 0:066±0:013, which is higher than the low value of φ = 0:052 ± 0:008 derived from Planck 2018 and slightly lower than the value of 0:069 ± 0:011 derived from the joint analysis of offcial LFI and WMAP products. Most importantly, however, we find that the uncertainty derived in the BeyondPlanck processing is about 30% greater than when analyzing the offcial products, after taking into account the different sky coverage. We argue that this uncertainty is due to a marginalization over a more complete model of instrumental and astrophysical parameters, which results in more reliable and more rigorously defined uncertainties. We find that about 2000 Monte Carlo samples are required to achieve a robust convergence for a low-resolution cosmic microwave background (CMB) covariance matrix with 225 independent modes, and producing these samples takes about eight weeks on a modest computing cluster with 256 cores.
Published: 2023

15. BEYONDPLANCK

Author: Ihle, HT, Bersanelli, M, Franceschet, C, Gjerløw, E, Andersen, KJ, Aurlien, R, Banerji, R, Bertocco, S, Brilenkov, M, Carbone, M, Colombo, LPL, Eriksen, HK, Eskilt, JR, Foss, MK, Fuskeland, U, Galeotta, S, Galloway, M, Gerakakis, S, Hensley, B, Herman, D, Iacobellis, M, Ieronymaki, M, Jewell, JB, Karakci, A, Keihänen, E, Keskitalo, R, Maggio, G, Maino, D, Maris, M, Mennella, A, Paradiso, S, Partridge, B, Reinecke, M, San, M, Suur-Uski, A-S, Svalheim, TL, Tavagnacco, D, Thommesen, H, Watts, DJ, Wehus, IK, and Zacchei, A
Subjects: Space Sciences, Particle and High Energy Physics, Astronomical Sciences, Physical Sciences, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics, Space sciences
Abstract: We present a Bayesian method for estimating instrumental noise parameters and propagating noise uncertainties within the global BEYONDPLANCK Gibbs sampling framework, which we applied to Planck Low Frequency Instrument (LFI) time-ordered data. Following previous works in the literature, we initially adopted a 1/f model for the noise power spectral density (PSD), but we found the need for an additional lognormal component in the noise model in the 30 and 44 GHz bands. We implemented an optimal Wiener-filter (or constrained realization) gap-filling procedure to account for masked data. We then used this procedure to both estimate the gapless correlated noise in the time-domain, ncorr, and to sample the noise PSD parameters, ξnâ =â {Ï0,â fknee,â α,â Ap}. In contrast to previous Planck analyses, we assumed piecewise stationary noise only within each pointing period (PID), and not throughout the full mission, but we adopted the LFI Data Processing Center results as priors on α and fknee. We generally found best-fit correlated noise parameters that are mostly consistent with previous results, with a few notable exceptions. However, a detailed inspection of the time-dependent results has revealed many important findings. First and foremost, we find strong evidence for statistically significant temporal variations in all noise PSD parameters, many of which are directly correlated with satellite housekeeping data. Second, while the simple 1/f model appears to be an excellent fit for the LFI 70 GHz channel, there is evidence for additional correlated noise that is not described by a 1/f model in the 30 and 44 GHz channels, including within the primary science frequency range of 0.1-1 Hz. In general, most 30 and 44 GHz channels exhibit deviations from 1/f at the 2-3Ï level in each one-hour pointing period, motivating the addition of the lognormal noise component for these bands. For certain periods of time, we also find evidence of strong common mode noise fluctuations across the entire focal plane. Overall, we conclude that a simple 1/f profile is not adequate for obtaining a full characterization of the Planck LFI noise, even when fitted hour-by-hour, and a more general model is required. These findings have important implications for large-scale CMB polarization reconstruction with the Planck LFI data and the current work is a first attempt at understanding and mitigating these issues.
Published: 2023

16. Performance of the CMS High Granularity Calorimeter prototype to charged pion beams of 20$-$300 GeV/c

Author: Acar, B., Adamov, G., Adloff, C., Afanasiev, S., Akchurin, N., Akgün, B., Alhusseini, M., Alison, J., de Almeida, J. P. Figueiredo de sa Sousa, de Almeida, P. G. Dias, Alpana, A., Alyari, M., Andreev, I., Aras, U., Aspell, P., Atakisi, I. O., Bach, O., Baden, A., Bakas, G., Bakshi, A., Banerjee, S., DeBarbaro, P., Bargassa, P., Barney, D., Beaudette, F., Beaujean, F., Becheva, E., Becker, A., Behera, P., Belloni, A., Bergauer, T., Berni, M. El, Besancon, M., Bhattacharya, S., Bhowmik, D., Bilki, B., Bilokin, S., Blazey, G. C., Blekman, F., Bloch, P., Bodek, A., Bonanomi, M., Bonis, J., Bonnemaison, A., Bonomally, S., Borg, J., Bouyjou, F., Bower, N., Braga, D., Brennan, L., Brianne, E., Brondolin, E., Bryant, P., Buhmann, E., Buhmann, P., Butler-Nalin, A., Bychkova, O., Callier, S., Calvet, D., Canderan, K., Cankocak, K., Cao, X., Cappati, A., Caraway, B., Caregari, S., Carty, C., Cauchois, A., Ceard, L., Cerci, D. S., Cerci, S., Cerminara, G., Chadeeva, M., Charitonidis, N., Chatterjee, R., Chen, J. A., Chen, Y. M., Cheng, H. J., Cheng, K. Y., Cheung, H., Chokheli, D., Cipriani, M., Čoko, D., Couderc, F., Cuba, E., Danilov, M., Dannheim, D., Daoud, W., Das, I., Dauncey, P., Davies, G., Davignon, O., Day, E., Debbins, P., Defranchis, M. M., Delagnes, E., Demiragli, Z., Demirbas, U., Derylo, G., Diaz, D., Diehl, L., Dinaucourt, P., Dincer, G. G., Dittmann, J., Dragicevic, M., Dugad, S., Dulucq, F., Dumanoglu, I., Dünser, M., Dutta, S., Dutta, V., Edberg, T. K., Elias, F., Emberger, L., Eno, S. C., Ershov, Yu., Extier, S., Fahim, F., Fallon, C., Fard, K. Sarbandi, Fedi, G., Ferragina, L., Forthomme, L., Frahm, E., Franzoni, G., Freeman, J., French, T., Gadow, K., Gandhi, P., Ganjour, S., Gao, X., Garcia, M. T. Ramos, Garcia-Bellido, A., Garutti, E., Gastaldi, F., Gastler, D., Gecse, Z., Germer, A., Gerwig, H., Gevin, O., Ghosh, S., Gilbert, A., Gilbert, W., Gill, K., Gingu, C., Gninenko, S., Golunov, A., Golutvin, I., Gonultas, B., Gorbounov, N., Göttlicher, P., Gouskos, L., Graf, C., Gray, A. B., Grieco, C., Gr\"önroos, S., Gu, Y., Guilloux, F., Guler, E. Gurpinar, Guler, Y., Gülmez, E., Guo, J., Gutti, H., Hakimi, A., Hammer, M., Hartbrich, O., Hassanshahi, H. M., Hatakeyama, K., Hazen, E., Heering, A., Hegde, V., Heintz, U., Heuchel, D., Hinton, N., Hirschauer, J., Hoff, J., Hou, W. S., Hou, X., Hua, H., Huck, S., Hussain, A., Incandela, J., Irles, A., Irshad, A., Isik, C., Jain, S., Jaroslavceva, J., Jheng, H. R., Joshi, U., Kaadze, K., Kachanov, V., Kalipoliti, L., Kaminskiy, A., Kanuganti, A. R., Kao, Y. W., Kapoor, A., Kara, O., Karneyeu, A., Kałuzińska, O., Kaya, M., Kaya, O., Kazhykharim, Y., Khan, F. A., Khukhunaishvili, A., Kieseler, J., Kilpatrick, M., Kim, S., Koetz, K., Kolberg, T., Komm, M., Köseyan, O. K., Kraus, V., Krawczyk, M., Kristiansen, K., Kristić, A., Krohn, M., Kronheim, B., Krüger, K., Kulis, S., Kumar, M., Kunori, S., Kuo, C. M., Kuryatkov, V., Kvasnicka, J., Kyre, S., Lai, Y., Lamichhane, K., Landsberg, G., Lange, C., Langford, J., Laurien, S., Lee, M. Y., Lee, S. W., Leiton, A. G. Stahl, Levin, A., Li, A., Li, J. H., Li, Y. Y., Liang, Z., Liao, H., Lin, Z., Lincoln, D., Linssen, L., Lipton, R., Liu, G., Liu, Y., Lobanov, A., Lohezic, V., Lomidze, D., Lu, R. S., Lu, S., Lupi, M., Lysova, I., Magnan, A. -M., Magniette, F., Mahjoub, A., Martens, S., Matysek, M., Meier, B., Malakhov, A., Mallios, S., Mandjavize, I., Mannelli, M., Mans, J., Marchioro, A., Martelli, A., Martinez, G., Masterson, P., Matthewman, M., Mayekar, S. N., David, A., Coco, S., Meng, B., Menkel, A ., Mestvirishvili, A., Milella, G., Mirza, I., Moccia, S., Mohanty, G. B., Monti, F., Moortgat, F. W., Morrissey, I., Motta, J., Murthy, S., Musić, J., Musienko, Y., Nabili, S., Nguyen, M., Nikitenko, A., Noonan, D., Noy, M., Nurdan, K., Nursanto, M. Wulansatiti, Ochando, C., Odell, N., Okawa, H., Onel, Y., Ortez, W., Ozegović, J., Ozkorucuklu, S., Paganis, E., Palmer, C. A., Pandey, S., Pantaleo, F., Papageorgakis, C., Papakrivopoulos, I., Paranjpe, M., Parshook, J., Pastika, N., Paulini, M., Peitzmann, T., Peltola, T., Peng, N., Perraguin, A. Buchot, Petiot, P., Pierre-Emile, T., Pinto, M. Vicente Barreto, Popova, E., Pöschl, R., Prosper, H., Prvan, M., Puljak, I., Qasim, S. R., Qu, H., Quast, T., Quinn, R., Quinnan, M., Rane, A., Rao, K. K., Rapacz, K., Raux, L., Redjeb, W., Reinecke, M., Revering, M., Richard, F., Roberts, A., Sanchez, A. M., Rohlf, J., Rolph, J., Romanteau, T., Rosado, M., Rose, A., Rovere, M., Roy, A., Rubinov, P., Rusack, R., Rusinov, V., Ryjov, V., Sahin, O. M., Salerno, R., Saradhy, R., Sarkar, T., Sarkisla, M. A., Sauvan, J. B., Schmidt, I., Schmitt, M., Schuwalow, S., Scott, E., Seez, C., Sefkow, F., Selivanova, D., Sharma, S., Shelake, M., Shenai, A., Shukla, R., Sicking, E., De, M., Silva, P., Simkina, P., Simon, F., Simsek, A. E., Sirois, Y., Smirnov, V., Sobering, T. J., Spencer, E., Srimanobhas, N., Steen, A., Strait, J., Strobbe, N., Su, X. F., Sudo, Y., Suarez, C. Mantilla, Sukhov, E., Sulak, L., Sun, L., Suryadevara, P., Syal, C., de La Taille, C., Tali, B., Tan, C. L., Tao, J., Tarabini, A., Tatli, T., Thaus, R., Taylor, R. D., Tekten, S., Thiebault, A., Thienpont, D., Tiley, C., Tiras, E., Titov, M., Tlisov, D., Tok, U. G., Kayis, A., Troska, J., Tsai, L. S., Tsamalaidze, Z., Tsipolitis, G., Tsirou, A., Undleeb, S., Urbanski, D., Uslan, E., Ustinov, V., Uzunian, A., Varela, J., Velasco, M., Vernazza, E., Viazlo, O., Vichoudis, P., Virdee, T., Voirin, E., Vojinovi\c, M., Vojinovic, M., Wade, A., Wang, C., Wang, C. C., Wang, D., Wang, F., Wang, X., Wang, Z., Wayne, M., Webb, S. N., Whitbeck, A., Wickwire, R., Wilson, J. S., Wu, H. Y., Wu, L., Xiao, M., Yang, J., Yeh, C. H, Yohay, R., Yu, D., Yu, S. S., Yuan, C., Miao, Y., Yumiceva, F., Yusuff, I., Zabi, A., Zacharopoulou, A., Zamiatin, N., Zarubin, A., Zehetner, P., Zerwas, D., Zhang, H., Zhang, J., Zhang, Y., Zhang, Z., and Zhao, X.
Subjects: Physics - Instrumentation and Detectors
Abstract: The upgrade of the CMS experiment for the high luminosity operation of the LHC comprises the replacement of the current endcap calorimeter by a high granularity sampling calorimeter (HGCAL). The electromagnetic section of the HGCAL is based on silicon sensors interspersed between lead and copper (or copper tungsten) absorbers. The hadronic section uses layers of stainless steel as an absorbing medium and silicon sensors as an active medium in the regions of high radiation exposure, and scintillator tiles directly readout by silicon photomultipliers in the remaining regions. As part of the development of the detector and its readout electronic components, a section of a silicon-based HGCAL prototype detector along with a section of the CALICE AHCAL prototype was exposed to muons, electrons and charged pions in beam test experiments at the H2 beamline at the CERN SPS in October 2018. The AHCAL uses the same technology as foreseen for the HGCAL but with much finer longitudinal segmentation. The performance of the calorimeters in terms of energy response and resolution, longitudinal and transverse shower profiles is studied using negatively charged pions, and is compared to GEANT4 predictions. This is the first report summarizing results of hadronic showers measured by the HGCAL prototype using beam test data., Comment: Accepted for publication by JINST
Published: 2022

17. BeyondPlanck IV. On end-to-end simulations in CMB analysis -- Bayesian versus frequentist statistics

Author: Brilenkov, M., Fornazier, K. S. F., Hergt, L. T., Hoerning, G. A., Marins, A., Murokoshi, T., Rahman, F., Stutzer, N. -O., Zhou, Y., Abdalla, F. B., Andersen, K. J., Aurlien, R., Banerji, R., Basyrov, A., Battista, A., Bersanelli, M., Bertocco, S., Bollanos, S., Colombo, L. P. L., Eriksen, H. K., Eskilt, J. R., Foss, M. K., Franceschet, C., Fuskeland, U., Galeotta, S., Galloway, M., Gerakakis, S., Gjerlow, E., Hensley, B., Herman, D., Hoang, T. D., Ieronymaki, M., Ihle, H. T., Jewell, J. B., Karakci, A., Keihanen, E., Keskitalo, R., Maggio, G., Maino, D., Maris, M., Paradiso, S., Partridge, B., Reinecke, M., Suur-Uski, A. -S., Svalheim, T. L., Tavagnacco, D., Thommesen, H., Tomasi, M., Watts, D. J., Wehus, I. K., and Zacchei, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: End-to-end simulations play a key role in the analysis of any high-sensitivity CMB experiment, providing high-fidelity systematic error propagation capabilities unmatched by any other means. In this paper, we address an important issue regarding such simulations, namely how to define the inputs in terms of sky model and instrument parameters. These may either be taken as a constrained realization derived from the data, or as a random realization independent from the data. We refer to these as Bayesian and frequentist simulations, respectively. We show that the two options lead to significantly different correlation structures, as frequentist simulations, contrary to Bayesian simulations, effectively include cosmic variance, but exclude realization-specific correlations from non-linear degeneracies. Consequently, they quantify fundamentally different types of uncertainties, and we argue that they therefore also have different and complementary scientific uses, even if this dichotomy is not absolute. Before BeyondPlanck, most pipelines have used a mix of constrained and random inputs, and used the same hybrid simulations for all applications, even though the statistical justification for this is not always evident. BeyondPlanck represents the first end-to-end CMB simulation framework that is able to generate both types of simulations, and these new capabilities have brought this topic to the forefront. The Bayesian BeyondPlanck simulations and their uses are described extensively in a suite of companion papers. In this paper we consider one important applications of the corresponding frequentist simulations, namely code validation. That is, we generate a set of 1-year LFI 30 GHz frequentist simulations with known inputs, and use these to validate the core low-level BeyondPlanck algorithms; gain estimation, correlated noise estimation, and mapmaking.
Published: 2022
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18. BeyondPlanck X. Planck LFI frequency maps with sample-based error propagation

Author: Basyrov, A., Suur-Uski, A. -S., Colombo, L. P. L., Eskilt, J. R., Paradiso, S., Andersen, K. J., Aurlien, R., Banerji, R., Bersanelli, M., Bertocco, S., Brilenkov, M., Carbone, M., Eriksen, H. K., Foss, M. K., Franceschet, C., Fuskeland, U., Galeotta, S., Galloway, M., Gerakakis, S., Gjerløw, E., Hensley, B., Herman, D., Iacobellis, M., Ieronymaki, M., Ihle, H. T., Jewell, J. B., Karakci, A., Keihänen, E., Keskitalo, R., Maggio, G., Maino, D., Maris, M., Partridge, B., Reinecke, M., Svalheim, T. L., Tavagnacco, D., Thommesen, H., Watts, D. J., Wehus, I. K., and Zacchei, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present Planck LFI frequency sky maps derived within the BeyondPlanck framework. This framework draws samples from a global posterior distribution that includes instrumental, astrophysical and cosmological parameters, and the main product is an entire ensemble of frequency sky map samples. This ensemble allows for computationally convenient end-to-end propagation of low-level instrumental uncertainties into higher-level science products. We show that the two dominant sources of LFI instrumental systematic uncertainties are correlated noise and gain fluctuations, and the products presented here support - for the first time - full Bayesian error propagation for these effects at full angular resolution. We compare our posterior mean maps with traditional frequency maps delivered by the Planck collaboration, and find generally good agreement. The most important quality improvement is due to significantly lower calibration uncertainties in the new processing, as we find a fractional absolute calibration uncertainty at 70 GHz of $\delta g_{0}/g_{0} =5 \cdot 10^{-5}$, which is nominally 40 times smaller than that reported by Planck 2018. However, the original Planck 2018 estimate has a non-trivial statistical interpretation, and this further illustrates the advantage of the new framework in terms of producing self-consistent and well-defined error estimates of all involved quantities without the need of ad hoc uncertainty contributions. We describe how low-resolution data products, including dense pixel-pixel covariance matrices, may be produced directly from the posterior samples without the need for computationally expensive analytic calculations or simulations. We conclude that posterior-based frequency map sampling provides unique capabilities in terms of low-level systematics modelling and error propagation, and may play an important role for future CMB B-mode experiments. (Abridged.), Comment: 32 pages, 23 figures, data available from https://www.cosmoglobe.uio.no/
Published: 2022
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19. BeyondPlanck XI. Bayesian CMB analysis with sample-based end-to-end error propagation

Author: Colombo, L. P. L., Eskilt, J. R., Paradiso, S., Thommesen, H., Andersen, K. J., Aurlien, R., Banerji, R., Bersanelli, M., Bertocco, S., Brilenkov, M., Carbone, M., Eriksen, H. K., Foss, M. K., Franceschet, C., Fuskeland, U., Galeotta, S., Galloway, M., Gerakakis, S., Gjerløw, E., Hensley, B., Herman, D., Iacobellis, M., Ieronymaki, M., Ihle, H. T., Jewell, J. B., Karakci, A., Keihänen, E., Keskitalo, R., Maggio, G., Maino, D., Maris, M., Partridge, B., Reinecke, M., Suur-Uski, A. -S., Svalheim, T. L., Tavagnacco, D., Watts, D. J., Wehus, I. K., and Zacchei, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present posterior sample-based cosmic microwave background (CMB) constraints from Planck LFI and WMAP observations derived through global end-to-end Bayesian processing. We use these samples to study correlations between CMB, foreground, and instrumental parameters, and we identify a particularly strong degeneracy between CMB temperature fluctuations and free-free emission on intermediate angular scales, which is mitigated through model reduction, masking, and resampling. We compare our posterior-based CMB results with previous Planck products, and find generally good agreement, but with higher noise due to exclusion of HFI data. We find a best-fit CMB dipole amplitude of $3362.7\pm1.4{\mu}K$, in excellent agreement with previous Planck results. The quoted uncertainty is derived directly from the sampled posterior distribution, and does not involve any ad hoc contribution for systematic effects. Similarly, we find a temperature quadrupole amplitude of $\sigma^{TT}_2=229\pm97{\mu}K^2$, in good agreement with previous results in terms of the amplitude, but the uncertainty is an order of magnitude larger than the diagonal Fisher uncertainty. Relatedly, we find lower evidence for a possible alignment between $\ell = 2$ and $\ell = 3$ than previously reported due to a much larger scatter in the individual quadrupole coefficients, caused both by marginalizing over a more complete set of systematic effects, and by our more conservative analysis mask. For higher multipoles, we find that the angular temperature power spectrum is generally in good agreement with both Planck and WMAP. This is the first time the sample-based asymptotically exact Blackwell-Rao estimator has been successfully established for multipoles up to $\ell\le600$, and it now accounts for the majority of the cosmologically important information. Cosmological parameter constraints are presented in a companion paper. (Abriged), Comment: 26 pages, 24 figures. Submitted to A&A. Part of the BeyondPlanck paper suite
Published: 2022
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20. From BeyondPlanck to Cosmoglobe: Open Science, Reproducibility, and Data Longevity

Author: Gerakakis, S., Brilenkov, M., Ieronymaki, M., San, M., Watts, D. J., Andersen, K. J., Aurlien, R., Banerji, R., Basyrov, A., Bersanelli, M., Bertocco, S., Carbone, M., Colombo, L. P. L., Eriksen, H. K., Eskilt, J. R., Foss, M. K., Franceschet, C., Fuskeland, U., Galeotta, S., Galloway, M., Gjerløw, E., Hensley, B., Herman, D., Iacobellis, M., Ihle, H. T., Jewell, J. B., Karakci, A., Keihänen, E., Keskitalo, R., Lunde, J. G. S., Maggio, G., Maino, D., Maris, M., Paradiso, S., Reinecke, M., Stutzer, N. -O., Suur-Uski, A. -S., Svalheim, T. L., Tavagnacco, D., Thommesen, H., Wehus, I. K., and Zacchei, A.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The BeyondPlanck and Cosmoglobe collaborations have implemented the first integrated Bayesian end-to-end analysis pipeline for CMB experiments. The primary long-term motivation for this work is to develop a common analysis platform that supports efficient global joint analysis of complementary radio, microwave, and sub-millimeter experiments. A strict prerequisite for this to succeed is broad participation from the CMB community, and two foundational aspects of the program are therefore reproducibility and Open Science. In this paper, we discuss our efforts toward this aim. We also discuss measures toward facilitating easy code and data distribution, community-based code documentation, user-friendly compilation procedures, etc. This work represents the first publicly released end-to-end CMB analysis pipeline that includes raw data, source code, parameter files, and documentation. We argue that such a complete pipeline release should be a requirement for all major future and publicly-funded CMB experiments, noting that a full public release significantly increases data longevity by ensuring that the data quality can be improved whenever better processing techniques, complementary datasets, or more computing power become available, and thereby also taxpayers' value for money; providing only raw data and final products is not sufficient to guarantee full reproducibility in the future.
Published: 2022

21. BeyondPlanck XII. Cosmological parameter constraints with end-to-end error propagation

Author: Paradiso, S., Colombo, L. P. L., Andersen, K. J., Aurlien, R., Banerji, R., Basyrov, A., Bersanelli, M., Bertocco, S., Brilenkov, M., Carbone, M., Eriksen, H. K., Eskilt, J. R., Foss, M. K., Franceschet, C., Fuskeland, U., Galeotta, S., Galloway, M., Gerakakis, S., Gjerløw, E., Hensley, B., Herman, D., Iacobellis, M., Ieronymaki, M., Ihle, H. T., Jewell, J. B., Karakci, A., Keihänen, E., Keskitalo, R., Maggio, G., Maino, D., Maris, M., Partridge, B., Reinecke, M., San, M., Suur-Uski, A. -S., Svalheim, T. L., Tavagnacco, D., Thommesen, H., Watts, D. J., Wehus, I. K., and Zacchei, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, 83F05
Abstract: We present cosmological parameter constraints as estimated using the Bayesian BeyondPlanck (BP) analysis framework. This method supports seamless end-to-end error propagation from raw time-ordered data to final cosmological parameters. As a first demonstration of the method, we analyze time-ordered Planck LFI observations, combined with selected external data (WMAP 33-61GHz, Planck HFI DR4 353 and 857GHz, and Haslam 408MHz) in the form of pixelized maps which are used to break critical astrophysical degeneracies. Overall, all results are generally in good agreement with previously reported values from Planck 2018 and WMAP, with the largest relative difference for any parameter of about 1 sigma when considering only temperature multipoles between 29
Published: 2022
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22. BeyondPlanck V. Minimal ADC Corrections for Planck LFI

Author: Herman, D., Watson, R. A., Andersen, K. J., Aurlien, R., Banjeri, R., Bersanelli, M., Bertocco, S., Brilenkov, M., Carbone, M., Colombo, L. P. L., Eriksen, H. K., Foss, M. K., Franceschet, C., Fuskeland, U., Galeotta, S., Galloway, M., Gerakakis, S., Gjerløw, E., Hensley, B., Iacobellis, M., Ieronymaki, M., Ihle, H. T., Jewell, J. B., Karakci, A., Keihänen, E., Maggio, G., Maino, D., Maris, M., Mennella, A., Paradiso, S., Partridge, B., Reinecke, M., Suur-Uski, A. -S., Svalheim, T. L., Tavagnacco, D., Thommesen, H., Watts, D. J., Wehus, I. K., and Zacchei, A.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: We describe the correction procedure for Analog-to-Digital Converter (ADC) differential non-linearities (DNL) adopted in the Bayesian end-to-end BeyondPlanck analysis framework. This method is nearly identical to that developed for the official LFI Data Processing Center (DPC) analysis, and relies on the binned rms noise profile of each detector data stream. However, rather than building the correction profile directly from the raw rms profile, we first fit a Gaussian to each significant ADC-induced rms decrement, and then derive the corresponding correction model from this smooth model. The main advange of this approach is that only samples which are significantly affected by ADC DNLs are corrected. The new corrections are only applied to data for which there is a clear detection of the non-linearities, and for which they perform at least comparably with the DPC corrections. Out of a total of 88 LFI data streams (sky and reference load for each of the 44 detectors) we apply the new minimal ADC corrections in 25 cases, and maintain the DPC corrections in 8 cases. All these correctsion are applited to 44 or 70 GHz channels, while, as in previous analyses, none of the 30 GHz ADCs show significant evidence of non-linearity. By comparing the BeyondPlanck and DPC ADC correction methods, we estimate that the residual ADC uncertainty is about two orders of magnitude below the total noise of both the 44 and 70 GHz channels, and their impact on current cosmological parameter estimation is small. However, we also show that non-idealities in the ADC corrections can generate sharp stripes in the final frequency maps, and these could be important for future joint analyses with HFI, WMAP, or other datasets. We therefore conclude that, although the existing corrections are adequate for LFI-based cosmological parameter analysis, further work on LFI ADC corrections is still warranted., Comment: 9 pages, 8 figures, mild language edits
Published: 2022
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23. From BeyondPlanck to Cosmoglobe: Preliminary $\mathit{WMAP}$ $\mathit Q$-band analysis

Author: Watts, D. J., Galloway, M., Ihle, H. T., Andersen, K. J., Aurlien, R., Banerji, R., Basyrov, A., Bersanelli, M., Bertocco, S., Brilenkov, M., Carbone, M., Colombo, L. P. L., Eriksen, H. K., Eskilt, J. R., Foss, M. K., Franceschet, C., Fuskeland, U., Galeotta, S., Gerakakis, S., Gjerløw, E., Hensley, B., Herman, D., Iacobellis, M., Ieronymaki, M., Jewell, J. B., Karakci, A., Keihänen, E., Keskitalo, R., Lunde, J. G. S., Maggio, G., Maino, D., Maris, M., Paradiso, S., Partridge, B., Reinecke, M., San, M., Stutzer, N. O., Suur-Uski, A. -S., Svalheim, T. L., Tavagnacco, D., Thommesen, H., Wehus, I. K., and Zacchei, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present the first application of the Cosmoglobe analysis framework by analyzing 9-year $\mathit{WMAP}$ time-ordered observations using similar machinery as BeyondPlanck utilizes for $\mathit{Planck}$ LFI. We analyze only the $\mathit Q$-band (41 GHz) data and report on the low-level analysis process from uncalibrated time-ordered data to calibrated maps. Most of the existing BeyondPlanck pipeline may be reused for $\mathit{WMAP}$ analysis with minimal changes to the existing codebase. The main modification is the implementation of the same preconditioned biconjugate gradient mapmaker used by the $\mathit{WMAP}$ team. Producing a single $\mathit{WMAP}$ $\mathit Q$1-band sample requires 22 CPU-hrs, which is slightly more than the cost of a $\mathit{Planck}$ 44 GHz sample of 17 CPU-hrs; this demonstrates that full end-to-end Bayesian processing of the $\mathit{WMAP}$ data is computationally feasible. In general, our recovered maps are very similar to the maps released by the $\mathit{WMAP}$ team, although with two notable differences. In temperature we find a $\sim2\,\mathrm{\mu K}$ quadrupole difference that most likely is caused by different gain modeling, while in polarization we find a distinct $2.5\,\mathrm{\mu K}$ signal that has been previously called poorly-measured modes by the $\mathit{WMAP}$ team. In the Cosmoglobe processing, this pattern arises from temperature-to-polarization leakage from the coupling between the CMB Solar dipole, transmission imbalance, and sidelobes. No traces of this pattern are found in either the frequency map or TOD residual map, suggesting that the current processing has succeeded in modelling these poorly measured modes within the assumed parametric model by using $\mathit{Planck}$ information to break the sky-synchronous degeneracies inherent in the $\mathit{WMAP}$ scanning strategy., Comment: 11 figures, submitted to A&A. Includes updated instrument model and changes addressing referee comments
Published: 2022
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24. Probing Cosmic Inflation with the LiteBIRD Cosmic Microwave Background Polarization Survey

Author: LiteBIRD Collaboration, Allys, E., Arnold, K., Aumont, J., Aurlien, R., Azzoni, S., Baccigalupi, C., Banday, A. J., Banerji, R., Barreiro, R. B., Bartolo, N., Bautista, L., Beck, D., Beckman, S., Bersanelli, M., Boulanger, F., Brilenkov, M., Bucher, M., Calabrese, E., Campeti, P., Carones, A., Casas, F. J., Catalano, A., Chan, V., Cheung, K., Chinone, Y., Clark, S. E., Columbro, F., D'Alessandro, G., de Bernardis, P., de Haan, T., de la Hoz, E., De Petris, M., Della Torre, S., Diego-Palazuelos, P., Dobbs, M., Dotani, T., Duval, J. M., Elleflot, T., Eriksen, H. K., Errard, J., Essinger-Hileman, T., Finelli, F., Flauger, R., Franceschet, C., Fuskeland, U., Galloway, M., Ganga, K., Gerbino, M., Gervasi, M., Génova-Santos, R. T., Ghigna, T., Giardiello, S., Gjerløw, E., Grain, J., Grupp, F., Gruppuso, A., Gudmundsson, J. E., Halverson, N. W., Hargrave, P., Hasebe, T., Hasegawa, M., Hazumi, M., Henrot-Versillé, S., Hensley, B., Hergt, L. T., Herman, D., Hivon, E., Hlozek, R. A., Hornsby, A. L., Hoshino, Y., Hubmayr, J., Ichiki, K., Iida, T., Imada, H., Ishino, H., Jaehnig, G., Katayama, N., Kato, A., Keskitalo, R., Kisner, T., Kobayashi, Y., Kogut, A., Kohri, K., Komatsu, E., Komatsu, K., Konishi, K., Krachmalnicoff, N., Kuo, C. L., Lamagna, L., Lattanzi, M., Lee, A. T., Leloup, C., Levrier, F., Linder, E., Luzzi, G., Macias-Perez, J., Maciaszek, T., Maffei, B., Maino, D., Mandelli, S., Martínez-González, E., Masi, S., Massa, M., Matarrese, S., Matsuda, F. T., Matsumura, T., Mele, L., Migliaccio, M., Minami, Y., Moggi, A., Montgomery, J., Montier, L., Morgante, G., Mot, B., Nagano, Y., Nagasaki, T., Nagata, R., Nakano, R., Namikawa, T., Nati, F., Natoli, P., Nerval, S., Noviello, F., Odagiri, K., Oguri, S., Ohsaki, H., Pagano, L., Paiella, A., Paoletti, D., Passerini, A., Patanchon, G., Piacentini, F., Piat, M., Pisano, G., Polenta, G., Poletti, D., Prouvé, T., Puglisi, G., Rambaud, D., Raum, C., Realini, S., Reinecke, M., Remazeilles, M., Ritacco, A., Roudil, G., Rubino-Martin, J. A., Russell, M., Sakurai, H., Sakurai, Y., Sasaki, M., Scott, D., Sekimoto, Y., Shinozaki, K., Shiraishi, M., Shirron, P., Signorelli, G., Spinella, F., Stever, S., Stompor, R., Sugiyama, S., Sullivan, R. M., Suzuki, A., Svalheim, T. L., Switzer, E., Takaku, R., Takakura, H., Takase, Y., Tartari, A., Terao, Y., Thermeau, J., Thommesen, H., Thompson, K. L., Tomasi, M., Tominaga, M., Tristram, M., Tsuji, M., Tsujimoto, M., Vacher, L., Vielva, P., Vittorio, N., Wang, W., Watanuki, K., Wehus, I. K., Weller, J., Westbrook, B., Wilms, J., Winter, B., Wollack, E. J., Yumoto, J., and Zannoni, M.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: LiteBIRD, the Lite (Light) satellite for the study of B-mode polarization and Inflation from cosmic background Radiation Detection, is a space mission for primordial cosmology and fundamental physics. The Japan Aerospace Exploration Agency (JAXA) selected LiteBIRD in May 2019 as a strategic large-class (L-class) mission, with an expected launch in the late 2020s using JAXA's H3 rocket. LiteBIRD is planned to orbit the Sun-Earth Lagrangian point L2, where it will map the cosmic microwave background (CMB) polarization over the entire sky for three years, with three telescopes in 15 frequency bands between 34 and 448 GHz, to achieve an unprecedented total sensitivity of 2.2$\mu$K-arcmin, with a typical angular resolution of 0.5$^\circ$ at 100 GHz. The primary scientific objective of LiteBIRD is to search for the signal from cosmic inflation, either making a discovery or ruling out well-motivated inflationary models. The measurements of LiteBIRD will also provide us with insight into the quantum nature of gravity and other new physics beyond the standard models of particle physics and cosmology. We provide an overview of the LiteBIRD project, including scientific objectives, mission and system requirements, operation concept, spacecraft and payload module design, expected scientific outcomes, potential design extensions and synergies with other projects., Comment: 155 pages, accepted for publication in PTEP
Published: 2022
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25. BeyondPlanck XIII. Intensity foreground sampling, degeneracies, and priors

Author: Andersen, K. J., Herman, D., Aurlien, R., Banerji, R., Basyrov, A., Bersanelli, M., Bertocco, S., Brilenkov, M., Carbone, M., Colombo, L. P. L., Eriksen, H. K., Eskilt, J. R., Foss, M. K., Franceschet, C., Fuskeland, U., Galeotta, S., Galloway, M., Gerakakis, S., Gjerløw, E., Hensley, B., Iacobellis, M., Ieronymaki, M., Ihle, H. T., Jewell, J. B., Karakci, A., Keihänen, E., Keskitalo, R., Lunde, J. G. S., Maggio, G., Maino, D., Maris, M., Mennella, A., Paradiso, S., Partridge, B., Reinecke, M., San, M., Stutzer, N. -O., Suur-Uski, A. -S., Svalheim, T. L., Tavagnacco, D., Thommesen, H., Watts, D. J., Wehus, I. K., and Zacchei, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present the intensity foreground algorithms and model employed within the BeyondPlanck analysis framework. The BeyondPlanck analysis is aimed at integrating component separation and instrumental parameter sampling within a global framework, leading to complete end-to-end error propagation in the $Planck$ Low Frequency Instrument (LFI) data analysis. Given the scope of the BeyondPlanck analysis, a limited set of data is included in the component separation process, leading to foreground parameter degeneracies. In order to properly constrain the Galactic foreground parameters, we improve upon the previous $\texttt{Commander}$ component separation implementation by adding a suite of algorithmic techniques. These algorithms are designed to improve the stability and computational efficiency for weakly constrained posterior distributions. These are: 1) joint foreground spectral parameter and amplitude sampling, building on ideas from Miramare; 2) component-based monopole determination; 3) joint spectral parameter and monopole sampling; and 4) application of informative spatial priors for component amplitude maps. We find that the only spectral parameter with a significant signal-to-noise ratio using the current BeyondPlanck data set is the peak frequency of the anomalous microwave emission component, for which we find $\nu_{\mathrm{p}}=25.3\pm0.5$ GHz; all others must be constrained through external priors. Future works will be aimed at integrating many more data sets into this analysis, both map and time-ordered based, thereby gradually eliminating the currently observed degeneracies in a controlled manner with respect to both instrumental systematic effects and astrophysical degeneracies. When this happens, the simple LFI-oriented data model employed in the current work will need to be generalized to account for both a richer astrophysical model and additional instrumental effects., Comment: 27 pages, 23 figures, 3 tables, part 13 of the BeyondPlanck release. All BeyondPlanck products and software will be released publicly at http://beyondplanck.science. Paper version as accepted by A&A
Published: 2022
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26. BeyondPlanck XVI. Limits on Large-Scale Polarized Anomalous Microwave Emission from Planck LFI and WMAP

Author: Herman, D., Hensley, B., Andersen, K. J., Aurlien, R., Banerji, R., Bersanelli, M., Bertocco, S., Brilenkov, M., Carbone, M., Colombo, L. P. L., Eriksen, H. K., Foss, M. K., Franceschet, C., Fuskeland, U., Galeotta, S., Galloway, M., Gerakakis, S., Gjerløw, E., Iacobellis, M., Ieronymaki, M., Ihle, H. T., Jewell, J. B., Karakci, A., Keihänen, E., Keskitalo, R., Maggio, G., Maino, D., Maris, M., Paradiso, S., Partridge, B., Reinecke, M., Suur-Uski, A. -S., Svalheim, T. L., Tavagnacco, D., Thommesen, H., Watts, D. J., Wehus, I. K., and Zacchei, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We constrain the level of polarized anomalous microwave emission (AME) on large angular scales using $\textit{Planck}$ LFI and $\textit{WMAP}$ polarization data within a Bayesian CMB analysis framework. We model synchrotron emission with a power-law spectral energy distribution, and the sum of AME and thermal dust emission through linear regression with the $\textit{Planck}$ HFI 353 GHz data. This template-based dust emission model allows us to constrain the level of polarized AME while making minimal assumptions on its frequency dependence. We neglect cosmic microwave background fluctuations, but show through simulations that these have a minor impact on the results. We find that the resulting AME polarization fraction confidence limit is sensitive to the polarized synchrotron spectral index prior, and for priors steeper than $\beta_{\mathrm{s}} = -3.1\pm0.1$ we find an upper limit of $p_{\mathrm{AME}}^{\rm max}\lesssim 0.6\,\%$ ($95\,\%$ confidence). In contrast, for $\beta_{\mathrm{s}}=-3.0\pm0.1$, we find a nominal detection of $p_{\mathrm{AME}}=2.5\pm1.0\,\%$ ($95\,\%$ confidence). These data are thus not strong enough to simultaneously and robustly constrain both polarized synchrotron emission and AME, and our main result is therefore a constraint on the AME polarization fraction explicitly as a function of $\beta_\mathrm{s}$. Combining the current $\textit{Planck}$ and $\textit{WMAP}$ observations with measurements from high-sensitivity low-frequency experiments such as C-BASS and QUIJOTE will be critical to improve these limits further., Comment: 10 pages, 9 figures, part 15 of the BeyondPlanck release. All BeyondPlanck products and software will be released publicly at http://beyondplanck.science. Refereed, edited, and accepted by A&A. Added references, added arxiv IDs to BeyondPlanck papers. Figure update. Expanded discussion on AME models. Moved title from BeyondPlanck XV to BeyondPlanck XVI due to internal reordering
Published: 2022
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27. BeyondPlanck III. Commander3

Author: Galloway, M., Andersen, K. J., Aurlien, R., Banerji, R., Bersanelli, M., Bertocco, S., Brilenkov, M., Carbone, M., Colombo, L. P. L., Eriksen, H. K., Foss, M. K., Franceschet, C., Fuskeland, U., Galeotta, S., Gerakakis, S., Gjerløw, E., Hensley, B., Herman, D., Iacobellis, M., Ieronymaki, M., Ihle, H. T., Jewell, J. B., Karakci, A., Keihänen, E., Keskitalo, R., Maggio, G., Maino, D., Maris, M., Paradiso, S., Partridge, B., Reinecke, M., Suur-Uski, A. -S., Svalheim, T. L., Tavagnacco, D., Thommesen, H., Watts, D. J., Wehus, I. K., and Zacchei, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We describe the computational infrastructure for end-to-end Bayesian CMB analysis implemented by the BeyondPlanck collaboration. This code is called commander3, and provides a statistically consistent framework for global analysis of CMB and microwave observations, and may be useful for a wide range of legacy, current, and future experiments. The paper has three main goals. Firstly, we provide a high-level overview of the existing code base, aiming to guide readers who wish to extend and adapt the code according to their own needs, or to reimplement it from scratch in a different programming language. Secondly, we discuss some critical computational challenges that arise within any global CMB analysis framework, for instance in-memory compression of time-ordered data, FFT optimization, and parallelization and load-balancing. Thirdly, we quantify the CPU and RAM requirements for the current BeyondPlanck analysis, and find that a total of 1.5 TB of RAM is required for efficient analysis, and the total cost of a full Gibbs sample is 170 CPU-hrs, including both low-level processing and high-level component separation, which is well within the capabilities of current low-cost computing facilities. The existing code base is made publicly available under a GNU General Public Library (GPL) license., Comment: 16 Pages, 7 Figures. Part of the BeyondPlanck paper suite
Published: 2022
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28. BeyondPlanck VIII. Efficient Sidelobe Convolution and Correction through Spin Harmonics

Author: Galloway, M., Reinecke, M., Andersen, K. J., Aurlien, R., Banerji, R., Bersanelli, M., Bertocco, S., Brilenkov, M., Carbone, M., Colombo, L. P. L., Eriksen, H. K., Foss, M. K., Franceschet, C., Fuskeland, U., Galeotta, S., Gerakakis, S., Gjerløw, E., Hensley, B., Herman, D., Iacobellis, M., Ieronymaki, M., Ihle, H. T., Jewell, J. B., Karakci, A., Keihänen, E., Keskitalo, R., Maggio, G., Maino, D., Maris, M., Paradiso, S., Partridge, B., Suur-Uski, A. -S., Svalheim, T. L., Tavagnacco, D., Thommesen, H., Watts, D. J., Wehus, I. K., and Zacchei, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: We introduce a new formulation of the Conviqt convolution algorithm in terms of spin harmonics, and apply this to the problem of sidelobe correction for BeyondPlanck, the first end-to-end Bayesian Gibbs sampling framework for CMB analysis. We compare our implementation to the previous Planck LevelS implementation, and find good agreement between the two codes in terms of accuracy, but with a speed-up reaching a factor of 3--10, depending on the frequency bandlimits, $l_{\textrm{max}}$ and $m_{\textrm{max}}$. The new algorithm is significantly simpler to implement and maintain, since all low-level calculations are handled through an external spherical harmonic transform library. We find that our mean sidelobe estimates for Planck LFI agree well with previous efforts. Additionally, we present novel sidelobe rms maps that quantify the uncertainty in the sidelobe corrections due to variations in the sky model., Comment: 9 pages, 8 figures. Part of the BeyondPlanck paper suite
Published: 2022
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29. BeyondPlanck X. Bandpass and beam leakage corrections

Author: Svalheim, T. L., Andersen, K. J., Aurlien, R., Banerji, R., Bersanelli, M., Bertocco, S., Brilenkov, M., Carbone, M., Colombo, L. P. L., Eriksen, H. K., Foss, M. K., Franceschet, C., Fuskeland, U., Galeotta, S., Galloway, M., Gerakakis, S., Gjerløw, E., Hensley, B., Herman, D., Iacobellis, M., Ieronymaki, M., Ihle, H. T., Jewell, J. B., Karakci, A., Keihänen, E., Keskitalo, R., Maggio, G., Maino, D., Maris, M., Paradiso, S., Partridge, B., Reinecke, M., Suur-Uski, A. -S., Tavagnacco, D., Thommesen, H., Watts, D. J., Wehus, I. K., Zacchei, A., and Zonca, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: We discuss the treatment of bandpass and beam leakage corrections in the Bayesian BeyondPlanck CMB analysis pipeline as applied to the Planck LFI measurements. As a preparatory step, we first apply three corrections to the nominal LFI bandpass profiles including removal of a known systematic effect in the ground measuring equipment at 61 GHz; smoothing of standing wave ripples; and edge regularization. The main net impact of these modifications is an overall shift in the 70 GHz bandpass of +0.6 GHz; we argue that any analysis of LFI data products, either from Planck or BeyondPlanck, should use these new bandpasses. In addition, we fit a single free bandpass parameter for each radiometer of the form $\Delta_i = \Delta_0 + \delta_i$, where $\Delta_0$ represents an absolute frequency shift per frequency band and $\delta_i$ is a relative shift per detector. The absolute correction is only fitted at 30 GHz with a full $\chi^2$-based likelihood, resulting in a correction of $\Delta_{30}=0.24\pm0.03\,$GHz. The relative corrections are fitted using a spurious map approach, fundamentally similar to the method pioneered by the WMAP team, but without introducing many additional degrees of freedom. All bandpass parameters are sampled using a standard Metropolis sampler within the main BeyondPlanck Gibbs chain, and bandpass uncertainties are thus propagated to all other data products in the analysis. In total, we find that our bandpass model significantly reduces leakage effects. For beam leakage corrections, we adopt the official Planck LFI beam estimates without additional degrees of freedom, and only marginalize over the underlying sky model. We note that this is the first time leakage from beam mismatch has been included for Planck LFI maps., Comment: 14 pages, 11 figures, this is part 10 in the BeyondPlanck release. All BeyondPlanck products and software will be released publicly at http://beyondplanck.science. Submitted to A&A
Published: 2022
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30. Response of a CMS HGCAL silicon-pad electromagnetic calorimeter prototype to 20-300 GeV positrons

Author: Acar, B., Adamov, G., Adloff, C., Afanasiev, S., Akchurin, N., Akgün, B., Khan, F. Alam, Alhusseini, M., Alison, J., Alpana, A., Altopp, G., Alyari, M., An, S., Anagul, S., Andreev, I., Aspell, P., Atakisi, I. O., Bach, O., Baden, A., Bakas, G., Bakshi, A., Bannerjee, S., Bargassa, P., Barney, D., Beaudette, F., Beaujean, F., Becheva, E., Becker, A., Behera, P., Belloni, A., Bergauer, T., Besancon, M., Bhattacharya, S., Bhowmik, D., Bilki, B., Bloch, P., Bodek, A., Bonanomi, M., Bonnemaison, A., Bonomally, S., Borg, J., Bouyjou, F., Bower, N., Braga, D., Brashear, J., Brondolin, E., Bryant, P., Perraguin, A. Buchot, Bueghly, J., Burkle, B., Butler-Nalin, A., Bychkova, O., Callier, S., Calvet, D., Cao, X., Cappati, A., Caraway, B., Caregari, S., Cauchois, A., Ceard, L., Cekmecelioglu, Y. C., Cerci, S., Cerminara, G., Chadeeva, M., Charitonidis, N., Chatterjee, R., Chen, Y. M., Chen, Z., Cheng, H. J., Cheng, K. y., Chernichenko, S., Cheung, H., Chien, C. H., Choudhury, S., Čoko, D., Collura, G., Couderc, F., Danilov, M., Dannheim, D., Daoud, W., Dauncey, P., David, A., Davies, G., Davignon, O., Day, E., DeBarbaro, P., De Guio, F., de La Taille, C., De Silva, M., Debbins, P., Defranchis, M. M., Delagnes, E., Berrio, J. M. Deltoro, Derylo, G., de Almeida, P. G. Dias, Diaz, D., Dinaucourt, P., Dittmann, J., Dragicevic, M., Dugad, S., Dulucq, F., Dumanoglu, I., Dutta, V., Dutta, S., Dünser, M., Eckdahl, J., Edberg, T. K., Berni, M. El, Elias, F., Eno, S. C., Ershov, Yu., Everaerts, P., Extier, S., Fahim, F., Fallon, C., Fedi, G., Alves, B. A. Fontana Santos, Frahm, E., Franzoni, G., Freeman, J., French, T., Gandhi, P., Ganjour, S., Gao, X., Garcia-Bellido, A., Gastaldi, F., Gecse, Z., Geerebaert, Y., Gerwig, H., Gevin, O., Ghosh, S., Gilbert, A., Gilbert, W., Gill, K., Gingu, C., Gninenko, S., Golunov, A., Golutvin, I., Gonzalez, T., Gorbounov, N., Gouskos, L., Gray, A. B., Gu, Y., Guilloux, F., Guler, Y., Gülmez, E., Guo, J., Guler, E. Gurpinar, Hammer, M., Hassanshahi, H. M., Hatakeyama, K., Heering, A., Hegde, V., Heintz, U., Hinton, N., Hirschauer, J., Hoff, J., Hou, W. -S., Hou, X., Hua, H., Incandela, J., Irshad, A., Isik, C., Jain, S., Jheng, H. R., Joshi, U., Kachanov, V., Kalinin, A., Kalipoliti, L., Kaminskiy, A., Kapoor, A., Kara, O., Karneyeu, A., Kaya, M., Kaya, O., Topaksu, A. Kayis, Khukhunaishvili, A., Kiesler, J., Kilpatrick, M., Kim, S., Koetz, K., Kolberg, T., Köseyan, O. K., Kristić, A., Krohn, M., Krüger, K., Kulagin, N., Kulis, S., Kunori, S., Kuo, C. M., Kuryatkov, V., Kyre, S., Lai, Y., Lamichhane, K., Landsberg, G., Lange, C., Langford, J., Lee, M. Y., Levin, A., Li, A., Li, B., Li, J. H., Li, Y. y., Liao, H., Lincoln, D., Linssen, L., Lipton, R., Liu, Y., Lobanov, A., Lu, R. -S., Lupi, M., Lysova, I., Magnan, A. -M., Magniette, F., Mahjoub, A., Maier, A. A., Malakhov, A., Mallios, S., Mandjavize, I., Mannelli, M., Mans, J., Marchioro, A., Martelli, A., Martinez, G., Masterson, P., Meng, B., Mengke, T., Mestvirishvili, A., Mirza, I., Moccia, S., Mohanty, G. B., Monti, F., Morrissey, I., Murthy, S., Musić, J., Musienko, Y., Nabili, S., Nagar, A., Nguyen, M., Nikitenko, A., Noonan, D., Noy, M., Nurdan, K., Ochando, C., Odegard, B., Odell, N., Okawa, H., Onel, Y., Ortez, W., Ozegović, J., Ozkorucuklu, S., Paganis, E., Pagenkopf, D., Palladino, V., Pandey, S., Pantaleo, F., Papageorgakis, C., Papakrivopoulos, I., Parshook, J., Pastika, N., Paulini, M., Paulitsch, P., Peltola, T., Gomes, R. Pereira, Perkins, H., Petiot, P., Pierre-Emile, T., Pitters, F., Popova, E., Prosper, H., Prvan, M., Puljak, I., Qu, H., Quast, T., Quinn, R., Quinnan, M., Garcia, M. T. Ramos, Rao, K. K., Rapacz, K., Raux, L., Reichenbach, G., Reinecke, M., Revering, M., Roberts, A., Romanteau, T., Rose, A., Rovere, M., Roy, A., Rubinov, P., Rusack, R., Rusinov, V., Ryjov, V., Sahin, O. M., Salerno, R., Rodriguez, A. M. Sanchez, Saradhy, R., Sarkar, T., Sarkisla, M. A., Sauvan, J. B., Schmidt, I., Schmitt, M., Scott, E., Seez, C., Sefkow, F., Sharma, S., Shein, I., Shenai, A., Shukla, R., Sicking, E., Sieberer, P., Silva, P., Simsek, A. E., Sirois, Y., Smirnov, V., Sozbilir, U., Spencer, E., Steen, A., Strait, J., Strobbe, N., Su, J. W., Sukhov, E., Sun, L., Cerci, D. Sunar, Syal, C., Tali, B., Tan, C. L., Tao, J., Tastan, I., Tatli, T., Thaus, R., Tekten, S., Thienpont, D., Tiras, E., Titov, M., Tlisov, D., Tok, U. G., Troska, J., Tsai, L. -S., Tsamalaidze, Z., Tsipolitis, G., Tsirou, A., Tyurin, N., Undleeb, S., Urbanski, D., Ustinov, V., Uzunian, A., Van de Klundert, M., Varela, J., Velasco, M., Viazlo, O., Pinto, M. Vicente Barreto, Virdee, P. Vichoudis T., de Oliveira, R. Vizinho, Voelker, J., Voirin, E., Vojinovic, M., Wade, A., Wang, C., Wang, F., Wang, X., Wang, Z., Wayne, M., Webb, S. N., Whitbeck, A., White, D., Wickwire, R., Wilson, J. S., Winter, D., Wu, H. y., Wu, L., Nursanto, M. Wulansatiti, Yeh, C. H, Yohay, R., Yu, D., Yu, G. B., Yu, S. S., Yuan, C., Yumiceva, F., Yusuff, I., Zacharopoulou, A., Zamiatin, N., Zarubin, A., Zenz, S., Zghiche, A., Zhang, H., Zhang, J., Zhang, Y., and Zhang, Z.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: The Compact Muon Solenoid Collaboration is designing a new high-granularity endcap calorimeter, HGCAL, to be installed later this decade. As part of this development work, a prototype system was built, with an electromagnetic section consisting of 14 double-sided structures, providing 28 sampling layers. Each sampling layer has an hexagonal module, where a multipad large-area silicon sensor is glued between an electronics circuit board and a metal baseplate. The sensor pads of approximately 1 cm$^2$ are wire-bonded to the circuit board and are readout by custom integrated circuits. The prototype was extensively tested with beams at CERN's Super Proton Synchrotron in 2018. Based on the data collected with beams of positrons, with energies ranging from 20 to 300 GeV, measurements of the energy resolution and linearity, the position and angular resolutions, and the shower shapes are presented and compared to a detailed Geant4 simulation.
Published: 2021
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31. Overview of the Medium and High Frequency Telescopes of the LiteBIRD satellite mission

Author: Montier, L., Mot, B., de Bernardis, P., Maffei, B., Pisano, G., Columbro, F., Gudmundsson, J. E., Henrot-Versillé, S., Lamagna, L., Montgomery, J., Prouvé, T., Russell, M., Savini, G., Stever, S., Thompson, K. L., Tsujimoto, M., Tucker, C., Westbrook, B., Ade, P. A. R., Adler, A., Allys, E., Arnold, K., Auguste, D., Aumont, J., Aurlien, R., Austermann, J., Baccigalupi, C., Banday, A. J., Banerji, R., Barreiro, R. B., Basak, S., Beall, J., Beck, D., Beckman, S., Bermejo, J., Bersanelli, M., Bonis, J., Borrill, J., Boulanger, F., Bounissou, S., Brilenkov, M., Brown, M., Bucher, M., Calabrese, E., Campeti, P., Carones, A., Casas, F. J., Challinor, A., Chan, V., Cheung, K., Chinone, Y., Cliche, J. F., Colombo, L., Cubas, J., Cukierman, A., Curtis, D., D'Alessandro, G., Dachlythra, N., De Petris, M., Dickinson, C., Diego-Palazuelos, P., Dobbs, M., Dotani, T., Duband, L., Duff, S., Duval, J. M., Ebisawa, K., Elleflot, T., Eriksen, H. K., Errard, J., Essinger-Hileman, T., Finelli, F., Flauger, R., Franceschet, C., Fuskeland, U., Galloway, M., Ganga, K., Gao, J. R., Genova-Santos, R., Gerbino, M., Gervasi, M., Ghigna, T., Gjerløw, E., Gradziel, M. L., Grain, J., Grupp, F., Gruppuso, A., de Haan, T., Halverson, N. W., Hargrave, P., Hasebe, T., Hasegawa, M., Hattori, M., Hazumi, M., Herman, D., Herranz, D., Hill, C. A., Hilton, G., Hirota, Y., Hivon, E., Hlozek, R. A., Hoshino, Y., de la Hoz, E., Hubmayr, J., Ichiki, K., Iida, T., Imada, H., Ishimura, K., Ishino, H., Jaehnig, G., Kaga, T., Kashima, S., Katayama, N., Kato, A., Kawasaki, T., Keskitalo, R., Kisner, T., Kobayashi, Y., Kogiso, N., Kogut, A., Kohri, K., Komatsu, E., Komatsu, K., Konishi, K., Krachmalnicoff, N., Kreykenbohm, I., Kuo, C. L., Kushino, A., Lanen, J. V., Lattanzi, M., Lee, A. T., Leloup, C., Levrier, F., Linder, E., Louis, T., Luzzi, G., Maciaszek, T., Maino, D., Maki, M., Mandelli, S., Martinez-Gonzalez, E., Masi, S., Matsumura, T., Mennella, A., Migliaccio, M., Minami, Y., Mitsuda, K., Morgante, G., Murata, Y., Murphy, J. A., Nagai, M., Nagano, Y., Nagasaki, T., Nagata, R., Nakamura, S., Namikawa, T., Natoli, P., Nerval, S., Nishibori, T., Nishino, H., O'Sullivan, C., Ogawa, H., Oguri, S., Ohsaki, H., Ohta, I. S., Okada, N., Pagano, L., Paiella, A., Paoletti, D., Patanchon, G., Peloton, J., Piacentini, F., Polenta, G., Poletti, D., Puglisi, G., Rambaud, D., Raum, C., Realini, S., Reinecke, M., Remazeilles, M., Ritacco, A., Roudil, G., Rubino-Martin, J. A., Sakurai, H., Sakurai, Y., Sandri, M., Sasaki, M., Scott, D., Seibert, J., Sekimoto, Y., Sherwin, B., Shinozaki, K., Shiraishi, M., Shirron, P., Signorelli, G., Smecher, G., Stompor, R., Sugai, H., Sugiyama, S., Suzuki, A., Suzuki, J., Svalheim, T. L., Switzer, E., Takaku, R., Takakura, H., Takakura, S., Takase, Y., Takeda, Y., Tartari, A., Taylor, E., Terao, Y., Thommesen, H., Thorne, B., Toda, T., Tomasi, M., Tominaga, M., Trappe, N., Tristram, M., Tsuji, M., Ullom, J., Vermeulen, G., Vielva, P., Villa, F., Vissers, M., Vittorio, N., Wehus, I., Weller, J., Wilms, J., Winter, B., Wollack, E. J., Yamasaki, N. Y., Yoshida, T., Yumoto, J., Zannoni, M., and Zonca, A.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: LiteBIRD is a JAXA-led Strategic Large-Class mission designed to search for the existence of the primordial gravitational waves produced during the inflationary phase of the Universe, through the measurements of their imprint onto the polarization of the cosmic microwave background (CMB). These measurements, requiring unprecedented sensitivity, will be performed over the full sky, at large angular scales, and over 15 frequency bands from 34GHz to 448GHz. The LiteBIRD instruments consist of three telescopes, namely the Low-, Medium- and High-Frequency Telescope (respectively LFT, MFT and HFT). We present in this paper an overview of the design of the Medium-Frequency Telescope (89-224GHz) and the High-Frequency Telescope (166-448GHz), the so-called MHFT, under European responsibility, which are two cryogenic refractive telescopes cooled down to 5K. They include a continuous rotating half-wave plate as the first optical element, two high-density polyethylene (HDPE) lenses and more than three thousand transition-edge sensor (TES) detectors cooled to 100mK. We provide an overview of the concept design and the remaining specific challenges that we have to face in order to achieve the scientific goals of LiteBIRD., Comment: SPIE Conference
Published: 2021
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32. LiteBIRD: JAXA's new strategic L-class mission for all-sky surveys of cosmic microwave background polarization

Author: Hazumi, M., Ade, P. A. R., Adler, A., Allys, E., Arnold, K., Auguste, D., Aumont, J., Aurlien, R., Austermann, J., Baccigalupi, C., Banday, A. J., Banjeri, R., Barreiro, R. B., Basak, S., Beall, J., Beck, D., Beckman, S., Bermejo, J., de Bernardis, P., Bersanelli, M., Bonis, J., Borrill, J., Boulanger, F., Bounissou, S., Brilenkov, M., Brown, M., Bucher, M., Calabrese, E., Campeti, P., Carones, A., Casas, F. J., Challinor, A., Chan, V., Cheung, K., Chinone, Y., Cliche, J. F., Colombo, L., Columbro, F., Cubas, J., Cukierman, A., Curtis, D., D'Alessandro, G., Dachlythra, N., De Petris, M., Dickinson, C., Diego-Palazuelos, P., Dobbs, M., Dotani, T., Duband, L., Duff, S., Duval, J. M., Ebisawa, K., Elleflot, T., Eriksen, H. K., Errard, J., Essinger-Hileman, T., Finelli, F., Flauger, R., Franceschet, C., Fuskeland, U., Galloway, M., Ganga, K., Gao, J. R., Genova-Santos, R., Gerbino, M., Gervasi, M., Ghigna, T., Gjerløw, E., Gradziel, M. L., Grain, J., Grupp, F., Gruppuso, A., Gudmundsson, J. E., de Haan, T., Halverson, N. W., Hargrave, P., Hasebe, T., Hasegawa, M., Hattori, M., Henrot-Versillé, S., Herman, D., Herranz, D., Hill, C. A., Hilton, G., Hirota, Y., Hivon, E., Hlozek, R. A., Hoshino, Y., de la Hoz, E., Hubmayr, J., Ichiki, K., Iida, T., Imada, H., Ishimura, K., Ishino, H., Jaehnig, G., Kaga, T., Kashima, S., Katayama, N., Kato, A., Kawasaki, T., Keskitalo, R., Kisner, T., Kobayashi, Y., Kogiso, N., Kogut, A., Kohri, K., Komatsu, E., Komatsu, K., Konishi, K., Krachmalnicoff, N., Kreykenbohm, I., Kuo, C. L., Kushino, A., Lamagna, L., Lanen, J. V., Lattanzi, M., Lee, A. T., Leloup, C., Levrier, F., Linder, E., Louis, T., Luzzi, G., Maciaszek, T., Maffei, B., Maino, D., Maki, M., Mandelli, S., Martinez-Gonzalez, E., Masi, S., Matsumura, T., Mennella, A., Migliaccio, M., Minami, Y., Mitsuda, K., Montgomery, J., Montier, L., Morgante, G., Mot, B., Murata, Y., Murphy, J. A., Nagai, M., Nagano, Y., Nagasaki, T., Nagata, R., Nakamura, S., Namikawa, T., Natoli, P., Nerval, S., Nishibori, T., Nishino, H., Noviello, F., O'Sullivan, C., Ogawa, H., Oguri, S., Ohsaki, H., Ohta, I. S., Okada, N., Pagano, L., Paiella, A., Paoletti, D., Patanchon, G., Peloton, J., Piacentini, F., Pisano, G., Polenta, G., Poletti, D., Prouvé, T., Puglisi, G., Rambaud, D., Raum, C., Realini, S., Reinecke, M., Remazeilles, M., Ritacco, A., Roudil, G., Rubino-Martin, J. A., Russell, M., Sakurai, H., Sakurai, Y., Sandri, M., Sasaki, M., Savini, G., Scott, D., Seibert, J., Sekimoto, Y., Sherwin, B., Shinozaki, K., Shiraishi, M., Shirron, P., Signorelli, G., Smecher, G., Stever, S., Stompor, R., Sugai, H., Sugiyama, S., Suzuki, A., Suzuki, J., Svalheim, T. L., Switzer, E., Takaku, R., Takakura, H., Takakura, S., Takase, Y., Takeda, Y., Tartari, A., Taylor, E., Terao, Y., Thommesen, H., Thompson, K. L., Thorne, B., Toda, T., Tomasi, M., Tominaga, M., Trappe, N., Tristram, M., Tsuji, M., Tsujimoto, M., Tucker, C., Ullom, J., Vermeulen, G., Vielva, P., Villa, F., Vissers, M., Vittorio, N., Wehus, I., Weller, J., Westbrook, B., Wilms, J., Winter, B., Wollack, E. J., Yamasaki, N. Y., Yoshida, T., Yumoto, J., Zannoni, M., and Zonca, A.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics, General Relativity and Quantum Cosmology, High Energy Physics - Experiment, High Energy Physics - Phenomenology
Abstract: LiteBIRD, the Lite (Light) satellite for the study of B-mode polarization and Inflation from cosmic background Radiation Detection, is a space mission for primordial cosmology and fundamental physics. JAXA selected LiteBIRD in May 2019 as a strategic large-class (L-class) mission, with its expected launch in the late 2020s using JAXA's H3 rocket. LiteBIRD plans to map the cosmic microwave background (CMB) polarization over the full sky with unprecedented precision. Its main scientific objective is to carry out a definitive search for the signal from cosmic inflation, either making a discovery or ruling out well-motivated inflationary models. The measurements of LiteBIRD will also provide us with an insight into the quantum nature of gravity and other new physics beyond the standard models of particle physics and cosmology. To this end, LiteBIRD will perform full-sky surveys for three years at the Sun-Earth Lagrangian point L2 for 15 frequency bands between 34 and 448 GHz with three telescopes, to achieve a total sensitivity of 2.16 micro K-arcmin with a typical angular resolution of 0.5 deg. at 100GHz. We provide an overview of the LiteBIRD project, including scientific objectives, mission requirements, top-level system requirements, operation concept, and expected scientific outcomes., Comment: 20 pages, 9 figures
Published: 2021
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33. Concept Design of Low Frequency Telescope for CMB B-mode Polarization satellite LiteBIRD

Author: Sekimoto, Y., Ade, P. A. R., Adler, A., Allys, E., Arnold, K., Auguste, D., Aumont, J., Aurlien, R., Austermann, J., Baccigalupi, C., Banday, A. J., Banerji, R., Barreiro, R. B., Basak, S., Beall, J., Beck, D., Beckman, S., Bermejo, J., de Bernardis, P., Bersanelli, M., Bonis, J., Borrill, J., Boulanger, F., Bounissou, S., Brilenkov, M., Brown, M., Bucher, M., Calabrese, E., Campeti, P., Carones, A., Casas, F. J., Challinor, A., Chan, V., Cheung, K., Chinone, Y., Cliche, J. F., Colombo, L., Columbro, F., Cubas, J., Cukierman, A., Curtis, D., D'Alessandro, G., Dachlythra, N., De Petris, M., Dickinson, C., Diego-Palazuelos, P., Dobbs, M., Dotani, T., Duband, L., Duff, S., Duval, J. M., Ebisawa, K., Elleflot, T., Eriksen, H. K., Errard, J., Essinger-Hileman, T., Finelli, F., Flauger, R., Franceschet, C., Fuskeland, U., Galloway, M., Ganga, K., Gao, J. R., Genova-Santos, R., Gerbino, M., Gervasi, M., Ghigna, T., Gjerløw, E., Gradziel, M. L., Grain, J., Grupp, F., Gruppuso, A., Gudmundsson, J. E., de Haan, T., Halverson, N. W., Hargrave, P., Hasebe, T., Hasegawa, M., Hattori, M., Hazumi, M., Henrot-Versillé, S., Herman, D., Herranz, D., Hill, C. A., Hilton, G., Hirota, Y., Hivon, E., Hlozek, R. A., Hoshino, Y., de la Hoz, E., Hubmayr, J., Ichiki, K., iida, T., Imada, H., Ishimura, K., Ishino, H., Jaehnig, G., Kaga, T., Kashima, S., Katayama, N., Kato, A., Kawasaki, T., Keskitalo, R., Kisner, T., Kobayashi, Y., Kogiso, N., Kogut, A., Kohri, K., Komatsu, E., Komatsu, K., Konishi, K., Krachmalnicoff, N., Kreykenbohm, I., Kuo, C. L., Kushino, A., Lamagna, L., Lanen, J. V., Lattanzi, M., Lee, A. T., Leloup, C., Levrier, F., Linder, E., Louis, T., Luzzi, G., Maciaszek, T., Maffei, B., Maino, D., Maki, M., Mandelli, S., Martinez-Gonzalez, E., Masi, S., Matsumura, T., Mennella, A., Migliaccio, M., Minanmi, Y., Mitsuda, K., Montgomery, J., Montier, L., Morgante, G., Mot, B., Murata, Y., Murphy, J. A., Nagai, M., Nagano, Y., Nagasaki, T., Nagata, R., Nakamura, S., Namikawa, T., Natoli, P., Nerval, S., Nishibori, T., Nishino, H., O'Sullivan, C., Ogawa, H., Oguri, S., Ohsaki, H., Ohta, I. S., Okada, N., Pagano, L., Paiella, A., Paoletti, D., Patanchon, G., Peloton, J., Piacentini, F., Pisano, G., Polenta, G., Poletti, D., Prouvé, T., Puglisi, G., Rambaud, D., Raum, C., Realini, S., Reinecke, M., Remazeilles, M., Ritacco, A., Roudil, G., Rubino-Martin, J. A., Russell, M., Sakurai, H., Sakurai, Y., Sandri, M., Sasaki, M., Savini, G., Scott, D., Seibert, J., Sherwin, B., Shinozaki, K., Shiraishi, M., Shirron, P., Signorelli, G., Smecher, G., Stever, S., Stompor, R., Sugai, H., Sugiyama, S., Suzuki, A., Suzuki, J., Svalheim, T. L., Switzer, E., Takaku, R., Takakura, H., Takakura, S., Takase, Y., Takeda, Y., Tartari, A., Taylor, E., Terao, Y., Thommesen, H., Thompson, K. L., Thorne, B., Toda, T., Tomasi, M., Tominaga, M., Trappe, N., Tristram, M., Tsuji, M., Tsujimoto, M., Tucker, C., Ullom, J., Vermeulen, G., Vielva, P., Villa, F., Vissers, M., Vittorio, N., Wehus, I., Weller, J., Westbrook, B., Wilms, J., Winter, B., Wollack, E. J., Yamasaki, N. Y., Yoshida, T., Yumoto, J., Zannoni, M., and Zonca, A.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: LiteBIRD has been selected as JAXA's strategic large mission in the 2020s, to observe the cosmic microwave background (CMB) $B$-mode polarization over the full sky at large angular scales. The challenges of LiteBIRD are the wide field-of-view (FoV) and broadband capabilities of millimeter-wave polarization measurements, which are derived from the system requirements. The possible paths of stray light increase with a wider FoV and the far sidelobe knowledge of $-56$ dB is a challenging optical requirement. A crossed-Dragone configuration was chosen for the low frequency telescope (LFT : 34--161 GHz), one of LiteBIRD's onboard telescopes. It has a wide field-of-view ($18^\circ \times 9^\circ$) with an aperture of 400 mm in diameter, corresponding to an angular resolution of about 30 arcminutes around 100 GHz. The focal ratio f/3.0 and the crossing angle of the optical axes of 90$^\circ$ are chosen after an extensive study of the stray light. The primary and secondary reflectors have rectangular shapes with serrations to reduce the diffraction pattern from the edges of the mirrors. The reflectors and structure are made of aluminum to proportionally contract from warm down to the operating temperature at $5\,$K. A 1/4 scaled model of the LFT has been developed to validate the wide field-of-view design and to demonstrate the reduced far sidelobes. A polarization modulation unit (PMU), realized with a half-wave plate (HWP) is placed in front of the aperture stop, the entrance pupil of this system. A large focal plane with approximately 1000 AlMn TES detectors and frequency multiplexing SQUID amplifiers is cooled to 100 mK. The lens and sinuous antennas have broadband capability. Performance specifications of the LFT and an outline of the proposed verification plan are presented., Comment: 21 pages, 14 figures
Published: 2021
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34. Construction and commissioning of CMS CE prototype silicon modules

Author: Acar, B., Adamov, G., Adloff, C., Afanasiev, S., Akchurin, N., Akgün, B., Alhusseini, M., Alison, J., Altopp, G., Alyari, M., An, S., Anagul, S., Andreev, I., Andrews, M., Aspell, P., Atakisi, I. A., Bach, O., Baden, A., Bakas, G., Bakshi, A., Bargassa, P., Barney, D., Becheva, E., Behera, P., Belloni, A., Bergauer, T., Besancon, M., Bhattacharya, S., Bhowmik, D., Bloch, P., Bodek, A., Bonanomi, M., Bonnemaison, A., Bonomally, S., Borg, J., Bouyjou, F., Braga, D., Brashear, J., Brondolin, E., Bryant, P., Bueghly, J., Bilki, B., Burkle, B., Butler-Nalin, A., Callier, S., Calvet, D., Cao, X., Caraway, B., Caregari, S., Ceard, L., Cekmecelioglu, Y. C., Cerminara, G., Charitonidis, N., Chatterjee, R., Chen, Y. M., Chen, Z., Cheng, K. y., Chernichenko, S., Cheung, H., Chien, C. H., Choudhury, S., Čoko, D., Collura, G., Couderc, F., Dumanoglu, I., Dannheim, D., Dauncey, P., David, A., Davies, G., Day, E., DeBarbaro, P., De Guio, F., de La Taille, C., De Silva, M., Debbins, P., Delagnes, E., Deltoro, J. M., Derylo, G., de Almeida, P. G. Dias, Diaz, D., Dinaucourt, P., Dittmann, J., Dragicevic, M., Dugad, S., Dutta, V., Dutta, S., Eckdahl, J., Edberg, T. K., Berni, M. El, Eno, S. C., Ershov, Yu., Everaerts, P., Extier, S., Fahim, F., Fallon, C., Alves, B. A. Fontana Santos, Frahm, E., Franzoni, G., Freeman, J., French, T., Guler, E. Gurpinar, Guler, Y., Gagnan, M., Gandhi, P., Ganjour, S., Garcia-Bellido, A., Gecse, Z., Geerebaert, Y., Gerwig, H., Gevin, O., Gilbert, W., Gilbert, A., Gill, K., Gingu, C., Gninenko, S., Golunov, A., Golutvin, I., Gonzalez, T., Gorbounov, N., Gouskos, L., Gu, Y., Guilloux, F., Gülmez, E., Hammer, M., Harilal, A., Hatakeyama, K., Heering, A., Hegde, V., Heintz, U., Hinger, V., Hinton, N., Hirschauer, J., Hoff, J., Hou, W. S., Isik, C., Incandela, J., Jain, S., Jheng, H. R., Joshi, U., Kara, O., Kachanov, V., Kalinin, A., Kameshwar, R., Kaminskiy, A., Karneyeu, A., Kaya, O., Kaya, M., Khukhunaishvili, A., Kim, S., Koetz, K., Kolberg, T., Kristić, A., Krohn, M., Krüger, K., Kulagin, N., Kulis, S., Kunori, S., Kuo, C. M., Kuryatkov, V., Kyre, S., Köseyan, O. K., Lai, Y., Lamichhane, K., Landsberg, G., Langford, J., Lee, M. Y., Levin, A., Li, A., Li, B., Li, J. -H., Liao, H., Lincoln, D., Linssen, L., Lipton, R., Liu, Y., Lobanov, A., Lu, R. S., Lysova, I., Magnan, A. M., Magniette, F., Maier, A. A., Malakhov, A., Mandjavize, I., Mannelli, M., Mans, J., Marchioro, A., Martelli, A., Masterson, P., Meng, B., Mengke, T., Mestvirishvili, A., Mirza, I., Moccia, S., Morrissey, I., Mudholkar, T., Musić, J., Musienko, I., Nabili, S., Nagar, A., Nikitenko, A., Noonan, D., Noy, M., Nurdan, K., Ochando, C., Odegard, B., Odell, N., Onel, Y., Ortez, W., Ozegović, J., Rodriguez, L. Pacheco, Paganis, E., Pagenkopf, D., Palladino, V., Pandey, S., Pantaleo, F., Papageorgakis, C., Papakrivopoulos, I., Parshook, J., Pastika, N., Paulini, M., Paulitsch, P., Peltola, T., Gomes, R. Pereira, Perkins, H., Petiot, P., Pitters, F., Prosper, H., Prvan, M., Puljak, I., Quast, T., Quinn, R., Quinnan, M., Rapacz, K., Raux, L., Reichenbach, G., Reinecke, M., Revering, M., Rodriguez, A., Romanteau, T., Rose, A., Rovere, M., Roy, A., Rubinov, P., Rusack, R., Simsek, A. E., Sozbilir, U., Sahin, O. M., Sanchez, A., Saradhy, R., Sarkar, T., Sarkisla, M. A., Sauvan, J. B., Schmidt, I., Schmitt, M., Scott, E., Seez, C., Sefkow, F., Sharma, S., Shein, I., Shenai, A., Shukla, R., Sicking, E., Sieberer, P., Sirois, Y., Smirnov, V., Spencer, E., Steen, A., Strait, J., Strebler, T., Strobbe, N., Su, J. W., Sukhov, E., Sun, L., Sun, M., Syal, C., Tali, B., Tok, U. G., Topaksu, A. Kayis, Tan, C. L., Tastan, I., Tatli, T., Thaus, R., Tekten, S., Thienpont, D., Pierre-Emile, T., Tiras, E., Titov, M., Tlisov, D., Troska, J., Tsamalaidze, Z., Tsipolitis, G., Tsirou, A., Tyurin, N., Undleeb, S., Urbanski, D., Ustinov, V., Uzunian, A., van de Klundert, M., Varela, J., Velasco, M., Pinto, M. Vicente Barreto, da Silva, P. M., Virdee, T., de Oliveira, R. Vizinho, Voelker, J., Voirin, E., Wang, Z., Wang, X., Wang, F., Wayne, M., Webb, S. N., Weinberg, M., Whitbeck, A., White, D., Wickwire, R., Wilson, J. S., Wu, H. Y., Wu, L., Yeh, C. H, Yohay, R., Yu, G. B., Yu, S. S., Yu, D., Yumiceva, F., Zacharopoulou, A., Zamiatin, N., Zarubin, A., Zenz, S., Zhang, H., and Zhang, J.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: As part of its HL-LHC upgrade program, the CMS Collaboration is developing a High Granularity Calorimeter (CE) to replace the existing endcap calorimeters. The CE is a sampling calorimeter with unprecedented transverse and longitudinal readout for both electromagnetic (CE-E) and hadronic (CE-H) compartments. The calorimeter will be built with $\sim$30,000 hexagonal silicon modules. Prototype modules have been constructed with 6-inch hexagonal silicon sensors with cell areas of 1.1~$cm^2$, and the SKIROC2-CMS readout ASIC. Beam tests of different sampling configurations were conducted with the prototype modules at DESY and CERN in 2017 and 2018. This paper describes the construction and commissioning of the CE calorimeter prototype, the silicon modules used in the construction, their basic performance, and the methods used for their calibration., Comment: 35 pages, submitted to JINST
Published: 2020

35. The DAQ system of the 12,000 Channel CMS High Granularity Calorimeter Prototype

Author: Acar, B., Adamov, G., Adloff, C., Afanasiev, S., Akchurin, N., Akgün, B., Alhusseini, M., Alison, J., Altopp, G., Alyari, M., An, S., Anagul, S., Andreev, I., Andrews, M., Aspell, P., Atakisi, I. A., Bach, O., Baden, A., Bakas, G., Bakshi, A., Bargassa, P., Barney, D., Becheva, E., Behera, P., Belloni, A., Bergauer, T., Besancon, M., Bhattacharya, S., Bhowmik, D., Bloch, P., Bodek, A., Bonanomi, M., Bonnemaison, A., Bonomally, S., Borg, J., Bouyjou, F., Braga, D., Brashear, J., Brondolin, E., Bryant, P., Bueghly, J., Bilki, B., Burkle, B., Butler-Nalin, A., Callier, S., Calvet, D., Cao, X., Caraway, B., Caregari, S., Ceard, L., Cekmecelioglu, Y. C., Cerminara, G., Charitonidis, N., Chatterjee, R., Chen, Y. M., Chen, Z., Cheng, K. y., Chernichenko, S., Cheung, H., Chien, C. H., Choudhury, S., Čoko, D., Collura, G., Couderc, F., Dumanoglu, I., Dannheim, D., Dauncey, P., David, A., Davies, G., Day, E., DeBarbaro, P., De Guio, F., de La Taille, C., De Silva, M., Debbins, P., Delagnes, E., Deltoro, J. M., Derylo, G., de Almeida, P. G. Dias, Diaz, D., Dinaucourt, P., Dittmann, J., Dragicevic, M., Dugad, S., Dutta, V., Dutta, S., Eckdahl, J., Edberg, T. K., Berni, M. El, Eno, S. C., Ershov, Yu., Everaerts, P., Extier, S., Fahim, F., Fallon, C., Alves, B. A. Fontana Santos, Frahm, E., Franzoni, G., Freeman, J., French, T., Guler, E. Gurpinar, Guler, Y., Gagnan, M., Gandhi, P., Ganjour, S., Garcia-Bellido, A., Gecse, Z., Geerebaert, Y., Gerwig, H., Gevin, O., Gilbert, W., Gilbert, A., Gill, K., Gingu, C., Gninenko, S., Golunov, A., Golutvin, I., Gonzalez, T., Gorbounov, N., Gouskos, L., Gu, Y., Guilloux, F., Gülmez, E., Hammer, M., Harilal, A., Hatakeyama, K., Heering, A., Hegde, V., Heintz, U., Hinger, V., Hinton, N., Hirschauer, J., Hoff, J., Hou, W. S., Isik, C., Incandela, J., Jain, S., Jheng, H. R., Joshi, U., Kara, O., Kachanov, V., Kalinin, A., Kameshwar, R., Kaminskiy, A., Karneyeu, A., Kaya, O., Kaya, M., Khukhunaishvili, A., Kim, S., Koetz, K., Kolberg, T., Kristić, A., Krohn, M., Krüger, K., Kulagin, N., Kulis, S., Kunori, S., Kuo, C. M., Kuryatkov, V., Kyre, S., Köseyan, O. K., Lai, Y., Lamichhane, K., Landsberg, G., Langford, J., Lee, M. Y., Levin, A., Li, A., Li, B., Li, J. -H., Liao, H., Lincoln, D., Linssen, L., Lipton, R., Liu, Y., Lobanov, A., Lu, R. S., Lysova, I., Magnan, A. M., Magniette, F., Maier, A. A., Malakhov, A., Mandjavize, I., Mannelli, M., Mans, J., Marchioro, A., Martelli, A., Masterson, P., Meng, B., Mengke, T., Mestvirishvili, A., Mirza, I., Moccia, S., Morrissey, I., Mudholkar, T., Musić, J., Musienko, I., Nabili, S., Nagar, A., Nikitenko, A., Noonan, D., Noy, M., Nurdan, K., Ochando, C., Odegard, B., Odell, N., Onel, Y., Ortez, W., Ozegović, J., Rodriguez, L. Pacheco, Paganis, E., Pagenkopf, D., Palladino, V., Pandey, S., Pantaleo, F., Papageorgakis, C., Papakrivopoulos, I., Parshook, J., Pastika, N., Paulini, M., Paulitsch, P., Peltola, T., Gomes, R. Pereira, Perkins, H., Petiot, P., Pitters, F., Prosper, H., Prvan, M., Puljak, I., Quast, T., Quinn, R., Quinnan, M., Rapacz, K., Raux, L., Reichenbach, G., Reinecke, M., Revering, M., Rodriguez, A., Romanteau, T., Rose, A., Rovere, M., Roy, A., Rubinov, P., Rusack, R., Simsek, A. E., Sozbilir, U., Sahin, O. M., Sanchez, A., Saradhy, R., Sarkar, T., Sarkisla, M. A., Sauvan, J. B., Schmidt, I., Schmitt, M., Scott, E., Seez, C., Sefkow, F., Sharma, S., Shein, I., Shenai, A., Shukla, R., Sicking, E., Sieberer, P., Sirois, Y., Smirnov, V., Spencer, E., Steen, A., Strait, J., Strebler, T., Strobbe, N., Su, J. W., Sukhov, E., Sun, L., Sun, M., Syal, C., Tali, B., Tok, U. G., Topaksu, A. Kayis, Tan, C. L., Tastan, I., Tatli, T., Thaus, R., Tekten, S., Thienpont, D., Pierre-Emile, T., Tiras, E., Titov, M., Tlisov, D., Troska, J., Tsamalaidze, Z., Tsipolitis, G., Tsirou, A., Tyurin, N., Undleeb, S., Urbanski, D., Ustinov, V., Uzunian, A., van de Klundert, M., Varela, J., Velasco, M., Pinto, M. Vicente Barreto, da Silva, P. M., Virdee, T., de Oliveira, R. Vizinho, Voelker, J., Voirin, E., Wang, Z., Wang, X., Wang, F., Wayne, M., Webb, S. N., Weinberg, M., Whitbeck, A., White, D., Wickwire, R., Wilson, J. S., Wu, H. Y., Wu, L., Yeh, C. H, Yohay, R., Yu, G. B., Yu, S. S., Yu, D., Yumiceva, F., Zacharopoulou, A., Zamiatin, N., Zarubin, A., Zenz, S., Zhang, H., and Zhang, J.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: The CMS experiment at the CERN LHC will be upgraded to accommodate the 5-fold increase in the instantaneous luminosity expected at the High-Luminosity LHC (HL-LHC). Concomitant with this increase will be an increase in the number of interactions in each bunch crossing and a significant increase in the total ionising dose and fluence. One part of this upgrade is the replacement of the current endcap calorimeters with a high granularity sampling calorimeter equipped with silicon sensors, designed to manage the high collision rates. As part of the development of this calorimeter, a series of beam tests have been conducted with different sampling configurations using prototype segmented silicon detectors. In the most recent of these tests, conducted in late 2018 at the CERN SPS, the performance of a prototype calorimeter equipped with ${\approx}12,000\rm{~channels}$ of silicon sensors was studied with beams of high-energy electrons, pions and muons. This paper describes the custom-built scalable data acquisition system that was built with readily available FPGA mezzanines and low-cost Raspberry PI computers.
Published: 2020
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36. BeyondPlanck XV. Polarized foreground emission between 30 and 70 GHz

Author: Svalheim, T. L., Andersen, K. J., Aurlien, R., Banerji, R., Bersanelli, M., Bertocco, S., Brilenkov, M., Carbone, M., Colombo, L. P. L., Eriksen, H. K., Foss, M. K., Franceschet, C., Fuskeland, U., Galeotta, S., Galloway, M., Gerakakis, S., Gjerløw, E., Hensley, B., Herman, D., Iacobellis, M., Ieronymaki, M., Ihle, H. T., Jewell, J. B., Karakci, A., Keihänen, E., Keskitalo, R., Maggio, G., Maino, D., Maris, M., Paradiso, S., Partridge, B., Reinecke, M., Suur-Uski, A. -S., Tavagnacco, D., Thommesen, H., Watts, D. J., Wehus, I. K., and Zacchei, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We constrain polarized foreground emission between 30 and 70 GHz with the Planck Low Frequency Instrument (LFI) and WMAP data within the global Bayesian BeyondPlanck framework. We combine for the first time full-resolution Planck LFI time-ordered data with low-resolution WMAP sky maps at 33, 40 and 61 GHz. Spectral parameters are fit with a likelihood defined at the native resolution of each frequency channel. This analysis represents the first implementation of true multi-resolution component separation applied to CMB observations for both amplitude and spectral energy distribution (SED) parameters. For synchrotron emission, we approximate the SED as a power-law in frequency and find that the low signal-to-noise ratio of the current data strongly limits the number of free parameters that may be robustly constrained. We partition the sky into four large disjoint regions (High Latitude; Galactic Spur; Galactic Plane; and Galactic Center), each associated with its own power-law index. We find that the High Latitude region is prior-dominated, while the Galactic Center region is contaminated by residual instrumental systematics. The two remaining regions appear to be signal-dominated, and for these we derive spectral indices of $\beta_{\mathrm s}^{\mathrm{Spur}}=-3.17\pm0.06$ and $\beta_{\mathrm s}^{\mathrm{Plane}}=-3.03\pm0.07$, in good agreement with previous results. For thermal dust emission we assume a modified blackbody model and we fit a single power-law index across the full sky. We find $\beta_{\mathrm{d}}=1.64\pm0.03$, which is slightly steeper than reported from Planck HFI data, but still statistically consistent at the 2$\sigma$ confidence level., Comment: 18 pages, 15 figures. All BeyondPlanck products and software will be released publicly at http://beyondplanck.science. This paper has been submitted to A&A. Major revision, matches submitted version
Published: 2020
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37. BeyondPlanck VII. Bayesian estimation of gain and absolute calibration for CMB experiments

Author: Gjerløw, E., Ihle, H. T., Galeotta, S., Andersen, K. J., Aurlien, R., Banerji, R., Bersanelli, M., Bertocco, S., Brilenkov, M., Carbone, M., Colombo, L. P. L., Eriksen, H. K., Foss, M. K., Franceschet, C., Fuskeland, U., Galloway, M., Gerakakis, S., Hensley, B., Herman, D., Iacobellis, M., Ieronymaki, M., Jewell, J. B., Karakci, A., Keihänen, E., Keskitalo, R., Maggio, G., Maino, D., Maris, M., Paradiso, S., Partridge, B., Reinecke, M., Suur-Uski, A. -S., Svalheim, T. L., Tavagnacco, D., Thommesen, H., Watts, D. J., Wehus, I. K., and Zacchei, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present a Bayesian calibration algorithm for CMB observations as implemented within the global end-to-end BeyondPlanck (BP) framework, and apply this to the Planck Low Frequency Instrument (LFI) data. Following the most recent Planck analysis, we decompose the full time-dependent gain into a sum of three orthogonal components: One absolute calibration term, common to all detectors; one time-independent term that can vary between detectors; and one time-dependent component that is allowed to vary between one-hour pointing periods. Each term is then sampled conditionally on all other parameters in the global signal model through Gibbs sampling. The absolute calibration is sampled using only the orbital dipole as a reference source, while the two relative gain components are sampled using the full sky signal, including the orbital and Solar CMB dipoles, CMB fluctuations, and foreground contributions. We discuss various aspects of the data that influence gain estimation, including the dipole/polarization quadrupole degeneracy and anomalous jumps in the instrumental gain. Comparing our solution to previous pipelines, we find good agreement in general, with relative deviations of -0.67% (-0.84%) for 30 GHz, 0.12% (-0.04%) for 44 GHz and -0.03% (-0.64%) for 70 GHz, compared to Planck DR4 (Planck 2018). The deviations we find are within expected error bounds, and we attribute them to differences in data usage and general approach between the pipelines. In particular, the BP calibration is performed globally, resulting in better inter-frequency consistency. Additionally, WMAP observations are used actively in the BP analysis, which breaks degeneracies in the Planck data set and results in better agreement with WMAP. Although our presentation and algorithm are currently oriented toward LFI processing, the procedure is fully generalizable to other experiments., Comment: 19 pages, 18 figures. All BeyondPlanck products and software will be released publicly at http://beyondplanck.science
Published: 2020
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38. BeyondPlanck VI. Noise characterization and modelling

Author: Ihle, H. T., Bersanelli, M., Franceschet, C., Gjerløw, E., Andersen, K. J., Aurlien, R., Banerji, R., Bertocco, S., Brilenkov, M., Carbone, M., Colombo, L. P. L., Eriksen, H. K., Eskilt, J. R., Foss, M. K., Fuskeland, U., Galeotta, S., Galloway, M., Gerakakis, S., Hensley, B., Herman, D., Iacobellis, M., Ieronymaki, M., Jewell, J. B., Karakci, A., Keihänen, E., Keskitalo, R., Maggio, G., Maino, D., Maris, M., Mennella, A., Paradiso, S., Partridge, B., Reinecke, M., San, M., Suur-Uski, A. -S., Svalheim, T. L., Tavagnacco, D., Thommesen, H., Watts, D. J., Wehus, I. K., and Zacchei, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: We present a Bayesian method for estimating instrumental noise parameters and propagating noise uncertainties within the global BeyondPlanck Gibbs sampling framework, and apply this to Planck Low Frequency Instrument (LFI) time-ordered data. Following previous literature, we initially adopt a $1/f$ model for the noise power spectral density (PSD), but find the need for an additional lognormal component in the noise model for the 30 and 44\,GHz bands. We implement an optimal Wiener-filter (or constrained realization) gap-filling procedure to account for masked data. We then use this procedure to both estimate the gapless correlated noise in the time-domain, $n_\mathrm{corr}$, and to sample the noise PSD parameters, $\xi^n = \{\sigma_0, f_\mathrm{knee}, \alpha, A_\mathrm{p}\}$. In contrast to previous \textit{Planck} analyses, we assume piecewise stationary noise only within each pointing period (PID), not throughout the full mission, but we adopt the LFI Data Processing Center (DPC) results as priors on $\alpha$ and $f_\mathrm{knee}$. On average, we find best-fit correlated noise parameters that are mostly consistent with previous results, with a few notable exceptions. However, a detailed inspection of the time-dependent results reveals many important findings. First and foremost, we find strong evidence for statistically significant temporal variations in all noise PSD parameters, many of which are directly correlated with satellite housekeeping data. Second, while the simple $1/f$ model appears to be an excellent fit for the LFI 70 GHz channel, there is evidence for additional correlated noise not described by a $1/f$ model in the 30 and 44 GHz channels, including within the primary science frequency range of 0.1--1 Hz. (Abridged), Comment: 26 pages, 29 figures, as accepted in A&A
Published: 2020
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39. BeyondPlanck II. CMB map-making through Gibbs sampling

Author: Keihänen, E., Suur-Uski, A. -S., Andersen, K. J., Aurlien, R., Banerji, R., Bersanelli, M., Bertocco, S., Brilenkov, M., Carbone, M., Colombo, L. P. L., Eriksen, H. K., Foss, M. K., Franceschet, C., Fuskeland, U., Galeotta, S., Galloway, M., Gerakakis, S., Gjerløw, E., Hensley, B., Herman, D., Iacobellis, M., Ieronymaki, M., Ihle, H. T., Jewell, J. B., Karakci, A., Keskitalo, R., Maggio, G., Maino, D., Maris, M., Mennella, A., Paradiso, S., Partridge, B., Reinecke, M., Svalheim, T. L., Tavagnacco, D., Thommesen, H., Tomasi, M., Watts, D. J., Wehus, I. K., and Zacchei, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present a Gibbs sampling solution to the map-making problem for CMB measurements, building on existing destriping methodology. Gibbs sampling breaks the computationally heavy destriping problem into two separate steps; noise filtering and map binning. Considered as two separate steps, both are computationally much cheaper than solving the combined problem. This provides a huge performance benefit as compared to traditional methods, and allows us for the first time to bring the destriping baseline length to a single sample. We apply the Gibbs procedure to simulated Planck 30 GHz data. We find that gaps in the time-ordered data are handled efficiently by filling them with simulated noise as part of the Gibbs process. The Gibbs procedure yields a chain of map samples, from which we may compute the posterior mean as a best-estimate map. The variation in the chain provides information on the correlated residual noise, without need to construct a full noise covariance matrix. However, if only a single maximum-likelihood frequency map estimate is required, we find that traditional conjugate gradient solvers converge much faster than a Gibbs sampler in terms of total number of iterations. The conceptual advantages of the Gibbs sampling approach lies in statistically well-defined error propagation and systematic error correction, and this methodology forms the conceptual basis for the map-making algorithm employed in the BeyondPlanck framework, which implements the first end-to-end Bayesian analysis pipeline for CMB observations., Comment: 11 pages, 10 figures. All BeyondPlanck products and software will be released publicly at http://beyondplanck.science during the online release conference (November 18-20, 2020). Connection details will be made available at the same website. Registration is mandatory for the online tutorial, but optional for the conference
Published: 2020
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40. BeyondPlanck I. Global Bayesian analysis of the Planck Low Frequency Instrument data

Author: BeyondPlanck Collaboration, Andersen, K. J., Aurlien, R., Banerji, R., Basyrov, A., Bersanelli, M., Bertocco, S., Brilenkov, M., Carbone, M., Colombo, L. P. L., Eriksen, H. K., Eskilt, J. R., Foss, M. K., Franceschet, C., Fuskeland, U., Galeotta, S., Galloway, M., Gerakakis, S., Gjerløw, E., Hensley, B., Herman, D., Iacobellis, M., Ieronymaki, M., Ihle, H. T., Jewell, J. B., Karakci, A., Keihänen, E., Keskitalo, R., Lunde, J. G. S., Maggio, G., Maino, D., Maris, M., Mennella, A., Paradiso, S., Partridge, B., Reinecke, M., San, M., Stutzer, N. -O., Suur-Uski, A. -S., Svalheim, T. L., Tavagnacco, D., Thommesen, H., Watts, D. J., Wehus, I. K., and Zacchei, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We describe the BeyondPlanck project in terms of motivation, methodology and main products, and provide a guide to a set of companion papers that describe each result in fuller detail. We implement a complete end-to-end Bayesian analysis framework for the Planck LFI observations. The primary product is a full joint posterior distribution $P(\omega|d)$, where $\omega$ represents the set of all free instrumental, astrophysical, and cosmological parameters. Notable advantages of this approach are seamless end-to-end propagation of uncertainties; accurate modeling of both astrophysical and instrumental effects in the most natural basis for each uncertain quantity; optimized computational costs with little or no need for intermediate human interaction between various analysis steps; and a complete overview of the entire analysis process within one single framework. We focus in particular on low-$\ell$ CMB polarization reconstruction with Planck LFI. We identify several important new effects that have not been accounted for in previous pipelines, including gain over-smoothing and time-variable and non-$1/f$ correlated noise in the 30 and 44 GHz channels. We find that all results are consistent with the $\Lambda$CDM model, and we constrain the reionization optical depth to $\tau=0.066\pm0.013$, with a low-resolution $\chi^2$ probability-to-exceed of 32%. This uncertainty is about 30% larger than the official pipelines, arising from taking into account a more complete instrumental model. The marginal CMB Solar dipole amplitude is $3362.7\pm1.4\mu\mathrm{K}$, where the error bar is derived directly from the posterior distribution without the need of any ad-hoc instrumental corrections. We are currently not aware of any significant unmodelled systematic effects remaining in the Planck LFI data, and, for the first time, the 44 GHz channel is fully exploited. (Abridged.), Comment: 61 pages, 31 figures, submitted to A&A. Major revision: Previously reported unresolved effects are now understood and mitigated. This paper version concludes the BeyondPlanck project. All BeyondPlanck products and software are available at https://cosmoglobe.uio.no
Published: 2020
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41. Planck intermediate results. LV. Reliability and thermal properties of high-frequency sources in the Second Planck Catalogue of Compact Sources

Author: Planck Collaboration, Akrami, Y., Ashdown, M., Aumont, J., Baccigalupi, C., Ballardini, M., Banday, A. J., Barreiro, R. B., Bartolo, N., Basak, S., Benabed, K., Bernard, J. -P., Bersanelli, M., Bielewicz, P., Bond, J. R., Borrill, J., Bouchet, F. R., Burigana, C., Calabrese, E., Carvalho, P., Chiang, H. C., Crill, B. P., Cuttaia, F., de Rosa, A., de Zotti, G., Delabrouille, J., Delouis, J. -M., Di Valentino, E., Diego, J. M., Dupac, X., Dusini, S., Efstathiou, G., Elsner, F., Enßlin, T. A., Eriksen, H. K., Fernandez-Cobos, R., Finelli, F., Fraisse, A. A., Franceschi, E., Frolov, A., Galeotta, S., Ganga, K., Gerbino, M., González-Nuevo, J., Górski, K. M., Gratton, S., Gruppuso, A., Gudmundsson, J. E., Handley, W., Hansen, F. K., Herranz, D., Hivon, E., Hobson, M., Huang, Z., Jones, W. C., Keihänen, E., Keskitalo, R., Kim, J., Kisner, T. S., Krachmalnicoff, N., Kunz, M., Kurki-Suonio, H., Lamarre, J. -M., Lasenby, A., Lattanzi, M., Lawrence, C. R., Jeune, M. Le, Levrier, F., Lilje, P. B., Lindholm, V., López-Caniego, M., Ma, Y. -Z., Macías-Pérez, J. F., Maggio, G., Mandolesi, N., Marcos-Caballero, A., Maris, M., Martin, P. G., Martínez-González, E., Matarrese, S., Mauri, N., McEwen, J. D., Migliaccio, M., Molinari, D., Moneti, A., Montier, L., Morgante, G., Natoli, P., Paoletti, D., Partridge, B., Perrotta, F., Pettorino, V., Piacentini, F., Polenta, G., Puget, J. -L., Rachen, J. P., Reinecke, M., Remazeilles, M., Renzi, A., Rocha, G., Roudier, G., Ruiz-Granados, B., Savelainen, M., Scott, D., Sirri, G., Spencer, L. D., Suur-Uski, A. -S., Tauber, J. A., Tavagnacco, D., Tenti, M., Toffolatti, L., Tomasi, M., Trombetti, T., Valiviita, J., Van Tent, B., Vielva, P., Villa, F., Wehus, I. K., Zacchei, A., and Zonca, A.
Subjects: Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: We describe an extension of the most recent version of the Planck Catalogue of Compact Sources (PCCS2), produced using a new multi-band Bayesian Extraction and Estimation Package (BeeP). BeeP assumes that the compact sources present in PCCS2 at 857 GHz have a dust-like spectral energy distribution, which leads to emission at both lower and higher frequencies, and adjusts the parameters of the source and its SED to fit the emission observed in Planck's three highest frequency channels at 353, 545, and 857 GHz, as well as the IRIS map at 3000 GHz. In order to reduce confusion regarding diffuse cirrus emission, BeeP's data model includes a description of the background emission surrounding each source, and it adjusts the confidence in the source parameter extraction based on the statistical properties of the spatial distribution of the background emission. BeeP produces the following three new sets of parameters for each source: (a) fits to a modified blackbody (MBB) thermal emission model of the source; (b) SED-independent source flux densities at each frequency considered; and (c) fits to an MBB model of the background in which the source is embedded. BeeP also calculates, for each source, a reliability parameter, which takes into account confusion due to the surrounding cirrus. We define a high-reliability subset (BeeP/base), containing 26 083 sources (54.1 per cent of the total PCCS2 catalogue), the majority of which have no information on reliability in the PCCS2. The results of the BeeP extension of PCCS2, which are made publicly available via the PLA, will enable the study of the thermal properties of well-defined samples of compact Galactic and extra-galactic dusty sources., Comment: 55 pages. Accepted for publication in A&A. The BeeP catalogue will be published in the Planck Legacy Archive (https://pla.esac.esa.int/pla)
Published: 2020
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42. Planck intermediate results. LVII. Joint Planck LFI and HFI data processing

Author: Planck Collaboration, Akrami, Y., Andersen, K. J., Ashdown, M., Baccigalupi, C., Ballardini, M., Banday, A. J., Barreiro, R. B., Bartolo, N., Basak, S., Benabed, K., Bernard, J. -P., Bersanelli, M., Bielewicz, P., Bond, J. R., Borrill, J., Burigana, C., Butler, R. C., Calabrese, E., Casaponsa, B., Chiang, H. C., Colombo, L. P. L., Combet, C., Crill, B. P., Cuttaia, F., de Bernardis, P., de Rosa, A., de Zotti, G., Delabrouille, J., Di Valentino, E., Diego, J. M., Doré, O., Douspis, M., Dupac, X., Eriksen, H. K., Fernandez-Cobos, R., Finelli, F., Frailis, M., Fraisse, A. A., Franceschi, E., Frolov, A., Galeotta, S., Galli, S., Ganga, K., Gerbino, M., Ghosh, T., González-Nuevo, J., Górski, K. M., Gruppuso, A., Gudmundsson, J. E., Handley, W., Helou, G., Herranz, D., Hildebrandt, S. R., Hivon, E., Huang, Z., Jaffe, A. H., Jones, W. C., Keihänen, E., Keskitalo, R., Kiiveri, K., Kim, J., Kisner, T. S., Krachmalnicoff, N., Kunz, M., Kurki-Suonio, H., Lasenby, A., Lattanzi, M., Lawrence, C. R., Jeune, M. Le, Levrier, F., Liguori, M., Lilje, P. B., Lilley, M., Lindholm, V., López-Caniego, M., Lubin, P. M., Macías-Pérez, J. F., Maino, D., Mandolesi, N., Marcos-Caballero, A., Maris, M., Martin, P. G., Martínez-González, E., Matarrese, S., Mauri, N., McEwen, J. D., Meinhold, P. R., Mennella, A., Migliaccio, M., Mitra, S., Molinari, D., Montier, L., Morgante, G., Moss, A., Natoli, P., Paoletti, D., Partridge, B., Patanchon, G., Pearson, D., Pearson, T. J., Perrotta, F., Piacentini, F., Polenta, G., Rachen, J. P., Reinecke, M., Remazeilles, M., Renzi, A., Rocha, G., Rosset, C., Roudier, G., Rubiño-Martín, J. A., Ruiz-Granados, B., Salvati, L., Savelainen, M., Scott, D., Sirignano, C., Sirri, G., Spencer, L. D., Suur-Uski, A. -S., Svalheim, T. L., Tauber, J. A., Tavagnacco, D., Tenti, M., Terenzi, L., Thommesen, H., Toffolatti, L., Tomasi, M., Tristram, M., Trombetti, T., Valiviita, J., Van Tent, B., Vielva, P., Villa, F., Vittorio, N., Wandelt, B. D., Wehus, I. K., Zacchei, A., and Zonca, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present the NPIPE processing pipeline, which produces calibrated frequency maps in temperature and polarization from data from the Planck Low Frequency Instrument (LFI) and High Frequency Instrument (HFI) using high-performance computers. NPIPE represents a natural evolution of previous Planck analysis efforts, and combines some of the most powerful features of the separate LFI and HFI analysis pipelines. The net effect of the improvements is lower levels of noise and systematics in both frequency and component maps at essentially all angular scales, as well as notably improved internal consistency between the various frequency channels. Based on the NPIPE maps, we present the first estimate of the Solar dipole determined through component separation across all nine Planck frequencies. The amplitude is ($3366.6 \pm 2.7$)$\mu$K, consistent with, albeit slightly higher than, earlier estimates. From the large-scale polarization data, we derive an updated estimate of the optical depth of reionization of $\tau = 0.051 \pm 0.006$, which appears robust with respect to data and sky cuts. There are 600 complete signal, noise and systematics simulations of the full-frequency and detector-set maps. As a Planck first, these simulations include full time-domain processing of the beam-convolved CMB anisotropies. The release of NPIPE maps and simulations is accompanied with a complete suite of raw and processed time-ordered data and the software, scripts, auxiliary data, and parameter files needed to improve further on the analysis and to run matching simulations., Comment: 97 pages, 93 figures and 16 tables, abstract abridged for arXiv submission, accepted for publication in A&A
Published: 2020
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43. Planck intermediate results. LVI. Detection of the CMB dipole through modulation of the thermal Sunyaev-Zeldovich effect: Eppur si muove II

Author: Planck Collaboration, Akrami, Y., Ashdown, M., Aumont, J., Baccigalupi, C., Ballardini, M., Banday, A. J., Barreiro, R. B., Bartolo, N., Basak, S., Benabed, K., Bernard, J. -P., Bersanelli, M., Bielewicz, P., Bond, J. R., Borrill, J., Bouchet, F. R., Burigana, C., Calabrese, E., Cardoso, J. -F., Casaponsa, B., Chiang, H. C., Combet, C., Contreras, D., Crill, B. P., Cuttaia, F., de Bernardis, P., de Rosa, A., de Zotti, G., Delabrouille, J., Di Valentino, E., Diego, J. M., Doré, O., Douspis, M., Dupac, X., Enßlin, T. A., Eriksen, H. K., Fernandez-Cobos, R., Finelli, F., Frailis, M., Franceschi, E., Frolov, A., Galeotta, S., Galli, S., Ganga, K., Génova-Santos, R. T., Gerbino, M., González-Nuevo, J., Górski, K. M., Gruppuso, A., Gudmundsson, J. E., Handley, W., Herranz, D., Hivon, E., Huang, Z., Jaffe, A. H., Jones, W. C., Keihänen, E., Keskitalo, R., Kiiveri, K., Kim, J., Kisner, T. S., Krachmalnicoff, N., Kunz, M., Kurki-Suonio, H., Lamarre, J. -M., Lattanzi, M., Lawrence, C. R., Jeune, M. Le, Levrier, F., Liguori, M., Lilje, P. B., Lindholm, V., López-Caniego, M., Macías-Pérez, J. F., Maino, D., Mandolesi, N., Marcos-Caballero, A., Maris, M., Martin, P. G., Martínez-González, E., Matarrese, S., Mauri, N., McEwen, J. D., Mennella, A., Migliaccio, M., Molinari, D., Moneti, A., Montier, L., Morgante, G., Moss, A., Natoli, P., Pagano, L., Paoletti, D., Perrotta, F., Pettorino, V., Piacentini, F., Polenta, G., Rachen, J. P., Reinecke, M., Remazeilles, M., Renzi, A., Rocha, G., Rosset, C., Rubiño-Martín, J. A., Ruiz-Granados, B., Salvati, L., Savelainen, M., Scott, D., Sirignano, C., Sirri, G., Spencer, L. D., Sullivan, R. M., Sunyaev, R., Suur-Uski, A. -S., Tauber, J. A., Tavagnacco, D., Tenti, M., Toffolatti, L., Tomasi, M., Trombetti, T., Valiviita, J., Van Tent, B., Vielva, P., Villa, F., Vittorio, N., Wehus, I. K., Zacchei, A., and Zonca, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The largest temperature anisotropy in the cosmic microwave background (CMB) is the dipole, which has been measured with increasing accuracy for more than three decades, particularly with the Planck satellite. The simplest interpretation of the dipole is that it is due to our motion with respect to the rest frame of the CMB. Since current CMB experiments infer temperature anisotropies from angular intensity variations, the dipole modulates the temperature anisotropies with the same frequency dependence as the thermal Sunyaev-Zeldovich (tSZ) effect. We present the first, and significant, detection of this signal in the tSZ maps and find that it is consistent with direct measurements of the CMB dipole, as expected. The signal contributes power in the tSZ maps, which is modulated in a quadrupolar pattern, and we estimate its contribution to the tSZ bispectrum, noting that it contributes negligible noise to the bispectrum at relevant scales., Comment: 15 pages, 8 figures. Added references, small clarifying and language edits. All results remain the same
Published: 2020
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44. Planck intermediate results

Author: Akrami, Y, Ashdown, M, Aumont, J, Baccigalupi, C, Ballardini, M, Banday, AJ, Barreiro, RB, Bartolo, N, Basak, S, Benabed, K, Bernard, J-P, Bersanelli, M, Bielewicz, P, Bond, JR, Borrill, J, Bouchet, FR, Burigana, C, Calabrese, E, Carvalho, P, Chiang, HC, Crill, BP, Cuttaia, F, de Rosa, A, de Zotti, G, Delabrouille, J, Delouis, J-M, Di Valentino, E, Diego, JM, Dupac, X, Dusini, S, Efstathiou, G, Elsner, F, Enßlin, TA, Eriksen, HK, Fernandez-Cobos, R, Finelli, F, Fraisse, AA, Franceschi, E, Frolov, A, Galeotta, S, Ganga, K, Gerbino, M, González-Nuevo, J, Górski, KM, Gratton, S, Gruppuso, A, Gudmundsson, JE, Handley, W, Hansen, FK, Herranz, D, Hivon, E, Hobson, M, Huang, Z, Jones, WC, Keihänen, E, Keskitalo, R, Kim, J, Kisner, TS, Krachmalnicoff, N, Kunz, M, Kurki-Suonio, H, Lamarre, J-M, Lasenby, A, Lattanzi, M, Lawrence, CR, Le Jeune, M, Levrier, F, Lilje, PB, Lindholm, V, López-Caniego, M, Ma, Y-Z, Macías-Pérez, JF, Maggio, G, Mandolesi, N, Marcos-Caballero, A, Maris, M, Martin, PG, Martínez-González, E, Matarrese, S, Mauri, N, McEwen, JD, Migliaccio, M, Molinari, D, Moneti, A, Montier, L, Morgante, G, Natoli, P, Paoletti, D, Partridge, B, Perrotta, F, Pettorino, V, Piacentini, F, Polenta, G, Puget, J-L, Rachen, JP, Reinecke, M, Remazeilles, M, Renzi, A, Rocha, G, and Roudier, G
Subjects: Astronomical Sciences, Physical Sciences, catalogs, cosmology: observations, submillimeter: general, astro-ph.GA, astro-ph.CO, astro-ph.IM, Astronomical and Space Sciences, Astronomy & Astrophysics, Astronomical sciences, Particle and high energy physics, Space sciences
Abstract: We describe an extension of the most recent version of the Planck Catalogue of Compact Sources (PCCS2), produced using a new multi-band Bayesian Extraction and Estimation Package (BeeP). BeeP assumes that the compact sources present in PCCS2 at 857 GHz have a dust-like spectral energy distribution (SED), which leads to emission at both lower and higher frequencies, and adjusts the parameters of the source and its SED to fit the emission observed in Planck's three highest frequency channels at 353, 545, and 857 GHz, as well as the IRIS map at 3000 GHz. In order to reduce confusion regarding diffuse cirrus emission, BeeP's data model includes a description of the background emission surrounding each source, and it adjusts the confidence in the source parameter extraction based on the statistical properties of the spatial distribution of the background emission. BeeP produces the following three new sets of parameters for each source: (a) fits to a modified blackbody (MBB) thermal emission model of the source; (b) SED-independent source flux densities at each frequency considered; and (c) fits to an MBB model of the background in which the source is embedded. BeeP also calculates, for each source, a reliability parameter, which takes into account confusion due to the surrounding cirrus. This parameter can be used to extract sub-samples of high-frequency sources with statistically well-understood properties. We define a high-reliability subset (BeeP/base), containing 26 083 sources (54.1% of the total PCCS2 catalogue), the majority of which have no information on reliability in the PCCS2. We describe the characteristics of this specific high-quality subset of PCCS2 and its validation against other data sets, specifically for: the sub-sample of PCCS2 located in low-cirrus areas; the Planck Catalogue of Galactic Cold Clumps; the Herschel GAMA15-field catalogue; and the temperature-and spectral-index-reconstructed dust maps obtained with Planck's Generalized Needlet Internal Linear Combination method. The results of the BeeP extension of PCCS2, which are made publicly available via the Planck Legacy Archive, will enable the study of the thermal properties of well-defined samples of compact Galactic and extragalactic dusty sources.
Published: 2020

45. Planck intermediate results: LVI. Detection of the CMB dipole through modulation of the thermal Sunyaev-Zeldovich effect: Eppur si muove II

Author: Akrami, Y, Ashdown, M, Aumont, J, Baccigalupi, C, Ballardini, M, Banday, AJ, Barreiro, RB, Bartolo, N, Basak, S, Benabed, K, Bernard, JP, Bersanelli, M, Bielewicz, P, Bond, JR, Borrill, J, Bouchet, FR, Burigana, C, Calabrese, E, Cardoso, JF, Casaponsa, B, Chiang, HC, Combet, C, Contreras, D, Crill, BP, Cuttaia, F, De Bernardis, P, De Rosa, A, De Zotti, G, Delabrouille, J, Di Valentino, E, Diego, JM, Doré, O, Douspis, M, Dupac, X, Enßlin, TA, Eriksen, HK, Fernandez-Cobos, R, Finelli, F, Frailis, M, Franceschi, E, Frolov, A, Galeotta, S, Galli, S, Ganga, K, Génova-Santos, RT, Gerbino, M, González-Nuevo, J, Górski, KM, Gruppuso, A, Gudmundsson, JE, Handley, W, Herranz, D, Hivon, E, Huang, Z, Jaffe, AH, Jones, WC, Keihänen, E, Keskitalo, R, Kiiveri, K, Kim, J, Kisner, TS, Krachmalnicoff, N, Kunz, M, Kurki-Suonio, H, Lamarre, JM, Lattanzi, M, Lawrence, CR, Le Jeune, M, Levrier, F, Liguori, M, Lilje, PB, Lindholm, V, López-Caniego, M, Maciás-Pérez, JF, Maino, D, Mandolesi, N, Marcos-Caballero, A, Maris, M, Martin, PG, Martínez-González, E, Matarrese, S, Mauri, N, McEwen, JD, Mennella, A, Migliaccio, M, Molinari, D, Moneti, A, Montier, L, Morgante, G, Moss, A, Natoli, P, Pagano, L, Paoletti, D, Perrotta, F, Pettorino, V, Piacentini, F, Polenta, G, Rachen, JP, Reinecke, M, and Remazeilles, M
Subjects: cosmic background radiation, cosmology: observations, relativistic processes, reference systems, astro-ph.CO, Astronomy & Astrophysics, Astronomical and Space Sciences
Abstract: The largest temperature anisotropy in the cosmic microwave background (CMB) is the dipole, which has been measured with increasing accuracy for more than three decades, particularly with the Planck satellite. The simplest interpretation of the dipole is that it is due to our motion with respect to the rest frame of the CMB. Since current CMB experiments infer temperature anisotropies from angular intensity variations, the dipole modulates the temperature anisotropies with the same frequency dependence as the thermal Sunyaev-Zeldovich (tSZ) effect. We present the first, and significant, detection of this signal in the tSZ maps and find that it is consistent with direct measurements of the CMB dipole, as expected. The signal contributes power in the tSZ maps, which is modulated in a quadrupolar pattern, and we estimate its contribution to the tSZ bispectrum, noting that it contributes negligible noise to the bispectrum at relevant scales.
Published: 2020

46. Planck intermediate results: LV. Reliability and thermal properties of high-frequency sources in the Second Planck Catalogue of Compact Sources

Author: Akrami, Y, Ashdown, M, Aumont, J, Baccigalupi, C, Ballardini, M, Banday, AJ, Barreiro, RB, Bartolo, N, Basak, S, Benabed, K, Bernard, JP, Bersanelli, M, Bielewicz, P, Bond, JR, Borrill, J, Bouchet, FR, Burigana, C, Calabrese, E, Carvalho, P, Chiang, HC, Crill, BP, Cuttaia, F, De Rosa, A, De Zotti, G, Delabrouille, J, Delouis, JM, Di Valentino, E, Diego, JM, Dupac, X, Dusini, S, Efstathiou, G, Elsner, F, Enßlin, TA, Eriksen, HK, Fernandez-Cobos, R, Finelli, F, Fraisse, AA, Franceschi, E, Frolov, A, Galeotta, S, Ganga, K, Gerbino, M, González-Nuevo, J, Górski, KM, Gratton, S, Gruppuso, A, Gudmundsson, JE, Handley, W, Hansen, FK, Herranz, D, Hivon, E, Hobson, M, Huang, Z, Jones, WC, Keihänen, E, Keskitalo, R, Kim, J, Kisner, TS, Krachmalnicoff, N, Kunz, M, Kurki-Suonio, H, Lamarre, JM, Lasenby, A, Lattanzi, M, Lawrence, CR, Le Jeune, M, Levrier, F, Lilje, PB, Lindholm, V, López-Caniego, M, Ma, YZ, Macías-Pérez, JF, Maggio, G, Mandolesi, N, Marcos-Caballero, A, Maris, M, Martin, PG, Martínez-González, E, Matarrese, S, Mauri, N, McEwen, JD, Migliaccio, M, Molinari, D, Moneti, A, Montier, L, Morgante, G, Natoli, P, Paoletti, D, Partridge, B, Perrotta, F, Pettorino, V, Piacentini, F, Polenta, G, Puget, JL, Rachen, JP, Reinecke, M, Remazeilles, M, Renzi, A, Rocha, G, and Roudier, G
Subjects: catalogs, cosmology: observations, submillimeter: general, astro-ph.GA, astro-ph.CO, astro-ph.IM, Astronomy & Astrophysics, Astronomical and Space Sciences
Abstract: We describe an extension of the most recent version of the Planck Catalogue of Compact Sources (PCCS2), produced using a new multi-band Bayesian Extraction and Estimation Package (BeeP). BeeP assumes that the compact sources present in PCCS2 at 857 GHz have a dust-like spectral energy distribution (SED), which leads to emission at both lower and higher frequencies, and adjusts the parameters of the source and its SED to fit the emission observed in Planck's three highest frequency channels at 353, 545, and 857 GHz, as well as the IRIS map at 3000 GHz. In order to reduce confusion regarding diffuse cirrus emission, BeeP's data model includes a description of the background emission surrounding each source, and it adjusts the confidence in the source parameter extraction based on the statistical properties of the spatial distribution of the background emission. BeeP produces the following three new sets of parameters for each source: (a) fits to a modified blackbody (MBB) thermal emission model of the source; (b) SED-independent source flux densities at each frequency considered; and (c) fits to an MBB model of the background in which the source is embedded. BeeP also calculates, for each source, a reliability parameter, which takes into account confusion due to the surrounding cirrus. This parameter can be used to extract sub-samples of high-frequency sources with statistically well-understood properties. We define a high-reliability subset (BeeP/base), containing 26 083 sources (54.1% of the total PCCS2 catalogue), the majority of which have no information on reliability in the PCCS2. We describe the characteristics of this specific high-quality subset of PCCS2 and its validation against other data sets, specifically for: the sub-sample of PCCS2 located in low-cirrus areas; the Planck Catalogue of Galactic Cold Clumps; the Herschel GAMA15-field catalogue; and the temperature-and spectral-index-reconstructed dust maps obtained with Planck's Generalized Needlet Internal Linear Combination method. The results of the BeeP extension of PCCS2, which are made publicly available via the Planck Legacy Archive, will enable the study of the thermal properties of well-defined samples of compact Galactic and extragalactic dusty sources.
Published: 2020

47. Sensitivity Modeling for LiteBIRD

Author: Hasebe, T., Ade, P. A. R., Adler, A., Allys, E., Alonso, D., Arnold, K., Auguste, D., Aumont, J., Aurlien, R., Austermann, J., Azzoni, S., Baccigalupi, C., Banday, A. J., Banerji, R., Barreiro, R. B., Bartolo, N., Basak, S., Battistelli, E., Bautista, L., Beall, J., Beck, D., Beckman, S., Benabed, K., Bermejo-Ballesteros, J., Bersanelli, M., Bonis, J., Borrill, J., Bouchet, F., Boulanger, F., Bounissou, S., Brilenkov, M., Brown, M. L., Bucher, M., Calabrese, E., Calvo, M., Campeti, P., Carones, A., Casas, F. J., Catalano, A., Challinor, A., Chan, V., Cheung, K., Chinone, Y., Cliche, J., Columbro, F., Coulton, W., Cubas, J., Cukierman, A., Curtis, D., D’Alessandro, G., Dachlythra, K., de Bernardis, P., de Haan, T., de la Hoz, E., De Petris, M., Torre, S. Della, Dickinson, C., Diego-Palazuelos, P., Dobbs, M., Dotani, T., Douillet, D., Duband, L., Ducout, A., Duff, S., Duval, J. M., Ebisawa, K., Elleflot, T., Eriksen, H. K., Errard, J., Essinger-Hileman, T., Finelli, F., Flauger, R., Franceschet, C., Fuskeland, U., Galli, S., Galloway, M., Ganga, K., Gao, J. R., Genova-Santos, R. T., Gerbino, M., Gervasi, M., Ghigna, T., Giardiello, S., Gjerløw, E., Gradziel, M. L., Grain, J., Grandsire, L., Grupp, F., Gruppuso, A., Gudmundsson, J. E., Halverson, N. W., Hamilton, J., Hargrave, P., Hasegawa, M., Hattori, M., Hazumi, M., Henrot-Versillé, S., Hergt, L. T., Herman, D., Herranz, D., Hill, C. A., Hilton, G., Hivon, E., Hlozek, R. A., Hoang, T. D., Hornsby, A. L., Hoshino, Y., Hubmayr, J., Ichiki, K., Iida, T., Imada, H., Ishimura, K., Ishino, H., Jaehnig, G., Jones, M., Kaga, T., Kashima, S., Katayama, N., Kato, A., Kawasaki, T., Keskitalo, R., Kisner, T., Kobayashi, Y., Kogiso, N., Kogut, A., Kohri, K., Komatsu, E., Komatsu, K., Konishi, K., Krachmalnicoff, N., Kreykenbohm, I., Kuo, C. L., Kushino, A., Lamagna, L., Lanen, J. V., Laquaniello, G., Lattanzi, M., Lee, A. T., Leloup, C., Levrier, F., Linder, E., Louis, T., Luzzi, G., Macias-Perez, J., Maciaszek, T., Maffei, B., Maino, D., Maki, M., Mandelli, S., Maris, M., Martínez-González, E., Masi, S., Massa, M., Matarrese, S., Matsuda, F. T., Matsumura, T., Mele, L., Mennella, A., Migliaccio, M., Minami, Y., Mitsuda, K., Moggi, A., Monfardini, A., Montgomery, J., Montier, L., Morgante, G., Mot, B., Murata, Y., Murphy, J. A., Nagai, M., Nagano, Y., Nagasaki, T., Nagata, R., Nakamura, S., Nakano, R., Namikawa, T., Nati, F., Natoli, P., Nerval, S., Nishibori, T., Nishino, H., Noviello, F., O’Sullivan, C., Odagiri, K., Ogawa, H., Ogawa, H., Oguri, S., Ohsaki, H., Ohta, I. S., Okada, N., Okada, N., Pagano, L., Paiella, A., Paoletti, D., Passerini, A., Patanchon, G., Pelgrim, V., Peloton, J., Piacentini, F., Piat, M., Pisano, G., Polenta, G., Poletti, D., Prouvé, T., Puglisi, G., Rambaud, D., Raum, C., Realini, S., Reinecke, M., Remazeilles, M., Ritacco, A., Roudil, G., Rubino-Martin, J., Russell, M., Sakurai, H., Sakurai, Y., Sandri, M., Sasaki, M., Savini, G., Scott, D., Seibert, J., Sekimoto, Y., Sherwin, B., Shinozaki, K., Shiraishi, M., Shirron, P., Signorelli, G., Smecher, G., Spinella, F., Stever, S., Stompor, R., Sugiyama, S., Sullivan, R., Suzuki, A., Suzuki, J., Svalheim, T. L., Switzer, E., Takaku, R., Takakura, H., Takakura, S., Takase, Y., Takeda, Y., Tartari, A., Tavagnacco, D., Taylor, A., Taylor, E., Terao, Y., Thermeau, J., Thommesen, H., Thompson, K. L., Thorne, B., Toda, T., Tomasi, M., Tominaga, M., Trappe, N., Tristram, M., Tsuji, M., Tsujimoto, M., Tucker, C., Ullom, J., Vacher, L., Vermeulen, G., Vielva, P., Villa, F., Vissers, M., Vittorio, N., Wandelt, B., Wang, W., Watanuki, K., Wehus, I. K., Weller, J., Westbrook, B., Wilms, J., Winter, B., Wollack, E. J., Yamasaki, N. Y., Yoshida, T., Yumoto, J., Zacchei, A., Zannoni, M., and Zonca, A.
Published: 2022
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48. Planck 2018 results. V. CMB power spectra and likelihoods

Author: Planck Collaboration, Aghanim, N., Akrami, Y., Ashdown, M., Aumont, J., Baccigalupi, C., Ballardini, M., Banday, A. J., Barreiro, R. B., Bartolo, N., Basak, S., Benabed, K., Bernard, J. -P., Bersanelli, M., Bielewicz, P., Bock, J. J., Bond, J. R., Borrill, J., Bouchet, F. R., Boulanger, F., Bucher, M., Burigana, C., Butler, R. C., Calabrese, E., Cardoso, J. -F., Carron, J., Casaponsa, B., Challinor, A., Chiang, H. C., Colombo, L. P. L., Combet, C., Crill, B. P., Cuttaia, F., de Bernardis, P., de Rosa, A., de Zotti, G., Delabrouille, J., Delouis, J. -M., Di Valentino, E., Diego, J. M., Doré, O., Douspis, M., Ducout, A., Dupac, X., Dusini, S., Efstathiou, G., Elsner, F., Enßlin, T. A., Eriksen, H. K., Fantaye, Y., Fernandez-Cobos, R., Finelli, F., Frailis, M., Fraisse, A. A., Franceschi, E., Frolov, A., Galeotta, S., Galli, S., Ganga, K., Génova-Santos, R. T., Gerbino, M., Ghosh, T., Giraud-Héraud, Y., González-Nuevo, J., Górski, K. M., Gratton, S., Gruppuso, A., Gudmundsson, J. E., Hamann, J., Handley, W., Hansen, F. K., Herranz, D., Hivon, E., Huang, Z., Jaffe, A. H., Jones, W. C., Keihänen, E., Keskitalo, R., Kiiveri, K., Kim, J., Kisner, T. S., Krachmalnicoff, N., Kunz, M., Kurki-Suonio, H., Lagache, G., Lamarre, J. -M., Lasenby, A., Lattanzi, M., Lawrence, C. R., Jeune, M. Le, Levrier, F., Lewis, A., Liguori, M., Lilje, P. B., Lilley, M., Lindholm, V., López-Caniego, M., Lubin, P. M., Ma, Y. -Z., Macías-Pérez, J. F., Maggio, G., Maino, D., Mandolesi, N., Mangilli, A., Marcos-Caballero, A., Maris, M., Martin, P. G., Martínez-González, E., Matarrese, S., Mauri, N., McEwen, J. D., Meinhold, P. R., Melchiorri, A., Mennella, A., Migliaccio, M., Millea, M., Miville-Deschênes, M. -A., Molinari, D., Moneti, A., Montier, L., Morgante, G., Moss, A., Natoli, P., Nørgaard-Nielsen, H. U., Pagano, L., Paoletti, D., Partridge, B., Patanchon, G., Peiris, H. V., Perrotta, F., Pettorino, V., Piacentini, F., Polenta, G., Puget, J. -L., Rachen, J. P., Reinecke, M., Remazeilles, M., Renzi, A., Rocha, G., Rosset, C., Roudier, G., Rubiño-Martín, J. A., Ruiz-Granados, B., Salvati, L., Sandri, M., Savelainen, M., Scott, D., Shellard, E. P. S., Sirignano, C., Sirri, G., Spencer, L. D., Sunyaev, R., Suur-Uski, A. -S., Tauber, J. A., Tavagnacco, D., Tenti, M., Toffolatti, L., Tomasi, M., Trombetti, T., Valiviita, J., Van Tent, B., Vielva, P., Villa, F., Vittorio, N., Wandelt, B. D., Wehus, I. K., Zacchei, A., and Zonca, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: This paper describes the 2018 Planck CMB likelihoods, following a hybrid approach similar to the 2015 one, with different approximations at low and high multipoles, and implementing several methodological and analysis refinements. With more realistic simulations, and better correction and modelling of systematics, we can now make full use of the High Frequency Instrument polarization data. The low-multipole 100x143 GHz EE cross-spectrum constrains the reionization optical-depth parameter $\tau$ to better than 15% (in combination with with the other low- and high-$\ell$ likelihoods). We also update the 2015 baseline low-$\ell$ joint TEB likelihood based on the Low Frequency Instrument data, which provides a weaker $\tau$ constraint. At high multipoles, a better model of the temperature-to-polarization leakage and corrections for the effective calibrations of the polarization channels (polarization efficiency or PE) allow us to fully use the polarization spectra, improving the constraints on the $\Lambda$CDM parameters by 20 to 30% compared to TT-only constraints. Tests on the modelling of the polarization demonstrate good consistency, with some residual modelling uncertainties, the accuracy of the PE modelling being the main limitation. Using our various tests, simulations, and comparison between different high-$\ell$ implementations, we estimate the consistency of the results to be better than the 0.5$\sigma$ level. Minor curiosities already present before (differences between $\ell$<800 and $\ell$>800 parameters or the preference for more smoothing of the $C_\ell$ peaks) are shown to be driven by the TT power spectrum and are not significantly modified by the inclusion of polarization. Overall, the legacy Planck CMB likelihoods provide a robust tool for constraining the cosmological model and represent a reference for future CMB observations. (Abridged), Comment: Revised to match version published in Astronomy & Astrophysics
Published: 2019
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49. Planck 2018 results. VII. Isotropy and Statistics of the CMB

Author: Planck Collaboration, Akrami, Y., Ashdown, M., Aumont, J., Baccigalupi, C., Ballardini, M., Banday, A. J., Barreiro, R. B., Bartolo, N., Basak, S., Benabed, K., Bersanelli, M., Bielewicz, P., Bock, J. J., Bond, J. R., Borrill, J., Bouchet, F. R., Boulanger, F., Bucher, M., Burigana, C., Butler, R. C., Calabrese, E., Cardoso, J. -F., Casaponsa, B., Chiang, H. C., Colombo, L. P. L., Combet, C., Contreras, D., Crill, B. P., de Bernardis, P., de Zotti, G., Delabrouille, J., Delouis, J. -M., Di Valentino, E., Diego, J. M., Doré, O., Douspis, M., Ducout, A., Dupac, X., Efstathiou, G., Elsner, F., Enßlin, T. A., Eriksen, H. K., Fantaye, Y., Fernandez-Cobos, R., Finelli, F., Frailis, M., Fraisse, A. A., Franceschi, E., Frolov, A., Galeotta, S., Galli, S., Ganga, K., Génova-Santos, R. T., Gerbino, M., Ghosh, T., González-Nuevo, J., Górski, K. M., Gruppuso, A., Gudmundsson, J. E., Hamann, J., Handley, W., Hansen, F. K., Herranz, D., Hivon, E., Huang, Z., Jaffe, A. H., Jones, W. C., Keihänen, E., Keskitalo, R., Kiiveri, K., Kim, J., Krachmalnicoff, N., Kunz, M., Kurki-Suonio, H., Lagache, G., Lamarre, J. -M., Lasenby, A., Lattanzi, M., Lawrence, C. R., Jeune, M. Le, Levrier, F., Liguori, M., Lilje, P. B., Lindholm, V., López-Caniego, M., Ma, Y. -Z., Macías-Pérez, J. F., Maggio, G., Maino, D., Mandolesi, N., Mangilli, A., Marcos-Caballero, A., Maris, M., Martin, P. G., Martínez-González, E., Matarrese, S., Mauri, N., McEwen, J. D., Meinhold, P. R., Mennella, A., Migliaccio, M., Miville-Deschênes, M. -A., Molinari, D., Moneti, A., Montier, L., Morgante, G., Moss, A., Natoli, P., Pagano, L., Paoletti, D., Partridge, B., Perrotta, F., Pettorino, V., Piacentini, F., Polenta, G., Puget, J. -L., Rachen, J. P., Reinecke, M., Remazeilles, M., Renzi, A., Rocha, G., Rosset, C., Roudier, G., Rubiño-Martín, J. A., Ruiz-Granados, B., Salvati, L., Savelainen, M., Scott, D., Shellard, E. P. S., Sirignano, C., Sunyaev, R., Suur-Uski, A. -S., Tauber, J. A., Tavagnacco, D., Tenti, M., Toffolatti, L., Tomasi, M., Trombetti, T., Valenziano, L., Valiviita, J., Van Tent, B., Vielva, P., Villa, F., Vittorio, N., Wandelt, B. D., Wehus, I. K., Zacchei, A., Zibin, J. P., and Zonca, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Analysis of the Planck 2018 data set indicates that the statistical properties of the cosmic microwave background (CMB) temperature anisotropies are in excellent agreement with previous studies using the 2013 and 2015 data releases. In particular, they are consistent with the Gaussian predictions of the $\Lambda$CDM cosmological model, yet also confirm the presence of several so-called "anomalies" on large angular scales. The novelty of the current study, however, lies in being a first attempt at a comprehensive analysis of the statistics of the polarization signal over all angular scales, using either maps of the Stokes parameters, $Q$ and $U$, or the $E$-mode signal derived from these using a new methodology (which we describe in an appendix). Although remarkable progress has been made in reducing the systematic effects that contaminated the 2015 polarization maps on large angular scales, it is still the case that residual systematics (and our ability to simulate them) can limit some tests of non-Gaussianity and isotropy. However, a detailed set of null tests applied to the maps indicates that these issues do not dominate the analysis on intermediate and large angular scales (i.e., $\ell \lesssim 400$). In this regime, no unambiguous detections of cosmological non-Gaussianity, or of anomalies corresponding to those seen in temperature, are claimed. Notably, the stacking of CMB polarization signals centred on the positions of temperature hot and cold spots exhibits excellent agreement with the $\Lambda$CDM cosmological model, and also gives a clear indication of how Planck provides state-of-the-art measurements of CMB temperature and polarization on degree scales., Comment: Paper VII of the Planck 2018 release, revised to closely match version published in Astronomy and Astrophysics
Published: 2019
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50. Planck 2018 results. IX. Constraints on primordial non-Gaussianity

Author: Planck Collaboration, Akrami, Y., Arroja, F., Ashdown, M., Aumont, J., Baccigalupi, C., Ballardini, M., Banday, A. J., Barreiro, R. B., Bartolo, N., Basak, S., Benabed, K., Bernard, J. -P., Bersanelli, M., Bielewicz, P., Bond, J. R., Borrill, J., Bouchet, F. R., Bucher, M., Burigana, C., Butler, R. C., Calabrese, E., Cardoso, J. -F., Casaponsa, B., Challinor, A., Chiang, H. C., Colombo, L. P. L., Combet, C., Crill, B. P., Cuttaia, F., de Bernardis, P., de Rosa, A., de Zotti, G., Delabrouille, J., Delouis, J. -M., Di Valentino, E., Diego, J. M., Doré, O., Douspis, M., Ducout, A., Dupac, X., Dusini, S., Efstathiou, G., Elsner, F., Enßlin, T. A., Eriksen, H. K., Fantaye, Y., Fergusson, J., Fernandez-Cobos, R., Finelli, F., Frailis, M., Fraisse, A. A., Franceschi, E., Frolov, A., Galeotta, S., Ganga, K., Génova-Santos, R. T., Gerbino, M., González-Nuevo, J., Górski, K. M., Gratton, S., Gruppuso, A., Gudmundsson, J. E., Hamann, J., Handley, W., Hansen, F. K., Herranz, D., Hivon, E., Huang, Z., Jaffe, A. H., Jones, W. C., Jung, G., Keihänen, E., Keskitalo, R., Kiiveri, K., Kim, J., Krachmalnicoff, N., Kunz, M., Kurki-Suonio, H., Lamarre, J. -M., Lasenby, A., Lattanzi, M., Lawrence, C. R., Jeune, M. Le, Levrier, F., Lewis, A., Liguori, M., Lilje, P. B., Lindholm, V., López-Caniego, M., Ma, Y. -Z., Macías-Pérez, J. F., Maggio, G., Maino, D., Mandolesi, N., Marcos-Caballero, A., Maris, M., Martin, P. G., Martínez-González, E., Matarrese, S., Mauri, N., McEwen, J. D., Meerburg, P. D., Meinhold, P. R., Melchiorri, A., Mennella, A., Migliaccio, M., Miville-Deschênes, M. -A., Molinari, D., Moneti, A., Montier, L., Morgante, G., Moss, A., Münchmeyer, M., Natoli, P., Oppizzi, F., Pagano, L., Paoletti, D., Partridge, B., Patanchon, G., Perrotta, F., Pettorino, V., Piacentini, F., Polenta, G., Puget, J. -L., Rachen, J. P., Racine, B., Reinecke, M., Remazeilles, M., Renzi, A., Rocha, G., Rubiño-Martín, J. A., Ruiz-Granados, B., Salvati, L., Savelainen, M., Scott, D., Shellard, E. P. S., Shiraishi, M., Sirignano, C., Sirri, G., Smith, K., Spencer, L. D., Stanco, L., Sunyaev, R., Suur-Uski, A. -S., Tauber, J. A., Tavagnacco, D., Tenti, M., Toffolatti, L., Tomasi, M., Trombetti, T., Valiviita, J., Van Tent, B., Vielva, P., Villa, F., Vittorio, N., Wandelt, B. D., Wehus, I. K., Zacchei, A., and Zonca, A.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics, General Relativity and Quantum Cosmology, High Energy Physics - Phenomenology, High Energy Physics - Theory
Abstract: We analyse the Planck full-mission cosmic microwave background (CMB) temperature and E-mode polarization maps to obtain constraints on primordial non-Gaussianity (NG). We compare estimates obtained from separable template-fitting, binned, and modal bispectrum estimators, finding consistent values for the local, equilateral, and orthogonal bispectrum amplitudes. Our combined temperature and polarization analysis produces the following results: f_NL^local = -0.9 +\- 5.1; f_NL^equil = -26 +\- 47; and f_NL^ortho = - 38 +\- 24 (68%CL, statistical). These results include the low-multipole (4 <= l < 40) polarization data, not included in our previous analysis, pass an extensive battery of tests, and are stable with respect to our 2015 measurements. Polarization bispectra display a significant improvement in robustness; they can now be used independently to set NG constraints. We consider a large number of additional cases, e.g. scale-dependent feature and resonance bispectra, isocurvature primordial NG, and parity-breaking models, where we also place tight constraints but do not detect any signal. The non-primordial lensing bispectrum is detected with an improved significance compared to 2015, excluding the null hypothesis at 3.5 sigma. We present model-independent reconstructions and analyses of the CMB bispectrum. Our final constraint on the local trispectrum shape is g_NLl^local = (-5.8 +\-6.5) x 10^4 (68%CL, statistical), while constraints for other trispectra are also determined. We constrain the parameter space of different early-Universe scenarios, including general single-field models of inflation, multi-field and axion field parity-breaking models. Our results provide a high-precision test for structure-formation scenarios, in complete agreement with the basic picture of the LambdaCDM cosmology regarding the statistics of the initial conditions (abridged)., Comment: 50 pages, 20 figures
Published: 2019

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