SearcharxivSearch

arXiv · 2411.02966

MuCol Milestone Report No. 5: Preliminary Parameters

Carlotta Accettura·Simon Adrian·Rohit Agarwal·Claudia Ahdida·Chiara Aimé·Avni Aksoy·Gian Luigi Alberghi·Siobhan Alden·Luca Alfonso·Nicola Amapane·David Amorim·Paolo Andreetto·Fabio Anulli·Rob Appleby·Artur Apresyan·Pouya Asadi·Mohammed Attia Mahmoud·Bernhard Auchmann·John Back·Anthony Badea·Kyu Jung Bae·E. J. Bahng·Lorenzo Balconi·Fabrice Balli·Laura Bandiera·Carmelo Barbagallo·Roger Barlow·Camilla Bartoli·Nazar Bartosik·Emanuela Barzi·Fabian Batsch·Matteo Bauce·Michael Begel·J. Scott Berg·Andrea Bersani·Alessandro Bertarelli·Francesco Bertinelli·Alessandro Bertolin·Pushpalatha Bhat·Clarissa Bianchi·Michele Bianco·William Bishop·Kevin Black·Fulvio Boattini·Alex Bogacz·Maurizio Bonesini·Bernardo Bordini·Patricia Borges de Sousa·Salvatore Bottaro·Luca Bottura·Steven Boyd·Marco Breschi·Francesco Broggi·Matteo Brunoldi·Xavier Buffat·Laura Buonincontri·Philip Nicholas Burrows·Graeme Campbell Burt·Dario Buttazzo·Barbara Caiffi·Sergio Calatroni·Marco Calviani·Simone Calzaferri·Daniele Calzolari·Claudio Cantone·Rodolfo Capdevilla·Christian Carli·Carlo Carrelli·Fausto Casaburo·Massimo Casarsa·Luca Castelli·Maria Gabriella Catanesi·Lorenzo Cavallucci·Gianluca Cavoto·Francesco Giovanni Celiberto·Luigi Celona·Alessia Cemmi·Sergio Ceravolo·Alessandro Cerri·Francesco Cerutti·Gianmario Cesarini·Cari Cesarotti·Antoine Chancé·Nikolaos Charitonidis·Mauro Chiesa·Paolo Chiggiato·Vittoria Ludovica Ciccarella·Pietro Cioli Puviani·Anna Colaleo·Francesco Colao·Francesco Collamati·Marco Costa·Nathaniel Craig·David Curtin·Heiko Damerau·Giacomo Da Molin·Laura D'Angelo·Sridhara Dasu·Jorge de Blas·Stefania De Curtis

Abstract

This document is comprised of a collection of updated preliminary parameters for the key parts of the muon collider. The updated preliminary parameters follow on from the October 2023 Tentative Parameters Report. Particular attention has been given to regions of the facility that are believed to hold greater technical uncertainty in their design and that have a strong impact on the cost and power consumption of the facility. The data is collected from a collaborative spreadsheet and transferred to overleaf.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Carlotta Accettura, Simon Adrian, Rohit Agarwal, Claudia Ahdida, Chiara Aimé, Avni Aksoy, Gian Luigi Alberghi, Siobhan Alden, Luca Alfonso, Nicola Amapane, David Amorim, Paolo Andreetto, Fabio Anulli, Rob Appleby, Artur Apresyan, Pouya Asadi, Mohammed Attia Mahmoud, Bernhard Auchmann, John Back, Anthony Badea, Kyu Jung Bae, E. J. Bahng, Lorenzo Balconi, Fabrice Balli, Laura Bandiera, Carmelo Barbagallo, Roger Barlow, Camilla Bartoli, Nazar Bartosik, Emanuela Barzi, Fabian Batsch, Matteo Bauce, Michael Begel, J. Scott Berg, Andrea Bersani, Alessandro Bertarelli, Francesco Bertinelli, Alessandro Bertolin, Pushpalatha Bhat, Clarissa Bianchi, Michele Bianco, William Bishop, Kevin Black, Fulvio Boattini, Alex Bogacz, Maurizio Bonesini, Bernardo Bordini, Patricia Borges de Sousa, Salvatore Bottaro, Luca Bottura, Steven Boyd, Marco Breschi, Francesco Broggi, Matteo Brunoldi, Xavier Buffat, Laura Buonincontri, Philip Nicholas Burrows, Graeme Campbell Burt, Dario Buttazzo, Barbara Caiffi, Sergio Calatroni, Marco Calviani, Simone Calzaferri, Daniele Calzolari, Claudio Cantone, Rodolfo Capdevilla, Christian Carli, Carlo Carrelli, Fausto Casaburo, Massimo Casarsa, Luca Castelli, Maria Gabriella Catanesi, Lorenzo Cavallucci, Gianluca Cavoto, Francesco Giovanni Celiberto, Luigi Celona, Alessia Cemmi, Sergio Ceravolo, Alessandro Cerri, Francesco Cerutti, Gianmario Cesarini, Cari Cesarotti, Antoine Chancé, Nikolaos Charitonidis, Mauro Chiesa, Paolo Chiggiato, Vittoria Ludovica Ciccarella, Pietro Cioli Puviani, Anna Colaleo, Francesco Colao, Francesco Collamati, Marco Costa, Nathaniel Craig, David Curtin, Heiko Damerau, Giacomo Da Molin, Laura D'Angelo, Sridhara Dasu, Jorge de Blas, Stefania De Curtis. 2024-11-05. MuCol Milestone Report No. 5: Preliminary Parameters. https://doi.org/10.5281/zenodo.13970100

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Coupling periodic-cell and finite-bunch dynamics for structured photocathodes

Patterning a photocathode with submicrometre features can enhance nonlinear photoemission by concentrating the optical field, but the surface geometry can also increase the transverse momentum spread of the emitted electrons. Resolving nanoscale surface fields across an injector-scale illuminated area within a full rf gun simulation is computationally demanding. To couple these scales, we developed an approach which combines a self-consistent finite flat-cathode calculation with the particle-resolved difference between matched structured and flat periodic calculations. The finite calculation determines the macroscopic bunch evolution and space-charge field. The periodic difference determines the local change caused by the surface. For a finite but relatively small test problem, comparison with a fully resolved finite-array WarpX calculation gives differences of 1.3% in rms energy spread and less than 0.1% in projected normalized emittance. We then apply the method to representative FEL photoinjector parameters with a 100 pC emitted source distributed over more than half a million periods, and track the composed bunch through an L-band rf gun and solenoid. The initial difference between the projected horizontal and vertical emittances becomes much smaller after rf acceleration and solenoid focusing. At 1.52 m downstream of the cathode, the projected emittances are nearly equal and exceed those of the matched flat-cathode reference by less than 2% in both planes. The central-slice emittances exceed the reference values by approximately 3% horizontally and 5% vertically.

physics.acc-ph

Physics-Informed Drift Diagnosis for Laser-Plasma Accelerator Operations

Laser-plasma accelerators (LPAs) sustain accelerating gradients of order $100\,\mathrm{GV/m}$, but routine operation remains difficult: electron beam metrics drift over an operating shift, and the root physical cause is often invisible to the available diagnostics. We formulate LPA operation as a latent state-space model in which three effective interaction-point variables, the normalized laser amplitude $a_0$, the normalized plasma electron density $\tilde n_e$ and the residual pulse chirp $\mathcal{C}$, are inferred from routine electron beam observations by an extended Kalman filter. The emission model, which maps the latent state to the diagnostics, is kept structurally separate from the {transition} model, which describes how the latent state evolves between shots. The separation supports diagnosis in two stages, one asking which latent variable moved and one asking what moved it. The implemented emission model is a toy model, yielding an expected performance in line with current facilities and using 3D blow-out regime dependencies where relevant. We conduct synthetic sessions to test the effectiveness of the detection and attribution protocols, finding that attribution is limited by excitation rather than by shot count or diagnostic resolution. Because the construction needs only a set of physical latent variables, an emission model and a family of hardware-derived transition models, it transfers to other drift-prone subsystems. We argue that the accuracy of the whole procedure is limited by the emission model rather than by the inference method.

physics.acc-ph

Turn-by-turn Tune Analysis Using Adaptive BPM Ensembles in the Fermilab Mu2e Delivery Ring*

The Mu2e experiment at Fermilab requires stable resonant slow extraction from the Delivery Ring, making reliable tune monitoring an important operational diagnostic. This work investigates BPM-based tune-candidate extraction using synchronized turn-by-turn position data distributed across multiple digitizers. Each spill contains approximately 50,000 turns from many BPMs in both transverse planes, enabling spectral analysis of tune-like structure. The analysis captures coherent spill snapshots, verifies synchronization using stream timestamps, and computes tune candidates in configurable horizontal and vertical tune bands. Rather than relying on a single BPM or fixed BPM list, it evaluates BPM quality on a spill-by-spill basis and selects small adaptive BPM ensembles. A multi- spill study shows that tune observability is distributed and dynamic rather than concentrated in one globally optimal BPM. Adaptive ensembles improve tune-candidate quality compared with single-BPM selections, with the clearest results in the vertical plane. The horizontal plane shows useful ranking structure but weaker visibility under present thresholds. Direct evaluation of fixed global BPM sets shows that static selections do not reproduce dynamic per-spill performance. These results motivate an adaptive BPM-ensemble approach for Delivery Ring tune analysis using selected BPM subsets, confidence metrics, and quality flags rather than a single preferred BPM or fixed BPM list.

physics.acc-ph