As Long as Parliamentarians Continue Funding CERN’s 20-Trillion-Transistor, 650 kW FPGA Systems (66 Operations), CERN Will Avoid a Public Comparison with Crosetto’s 6 kW 3D-Flow System (8,000+ Operations)
In English in PDF at: https://bit.ly/3TMnDNI,
In Italiano in PDF a: https://bit.ly/4nsvk9E
DALLAS, TX, June 30, 2025 /24-7PressRelease/ — The Crosetto Foundation for the Reduction of Cancer Deaths, dedicated to defending taxpayers and cancer patients, is taking a firm stand against the recent approval, on 20 June 2025, by the CERN Council of the Medium-Term Plan (MTP) to secure resources for the Phase 2 upgrades of the ATLAS and CMS experiments. Irrefutable facts and evidence demonstrate that these plans will waste taxpayers over €12 billion in the next decade.
CERN has denied transparency and accountability for decades and continues to squander public funding, consequently, taxpayers—through their Members of the European Parliament (MEPs) and national parliamentarians who manage their money—are compelled to demand a freeze on funding for these projects. Funding should only resume after a public, side-by-side comparison in a public meeting between CERN’s designers of FPGA-Based Level-1 Trigger architecture (consuming 650 kW while limited to 66 programmable operations per dataset) and Crosetto’s 3D-Flow architecture (consuming only 6 kW while enabling over 8,000 programmable operations per dataset, such as add, subtract, multiply, move, etc.).
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2. The Broader Impact: From Fundamental Physics to Cancer Detection
Italian-American scientist Dario Crosetto, founder of the namesake foundation dedicated to significantly reduce cancer deaths, is actively writing letters to MEPs and national parliamentarians (details at: https://bit.ly/4era28b). He explains that the ongoing waste of public funds in fundamental physics research, combined with CERN’s refusal to allow transparency, has damaged progress in many other fields—particularly healthcare—by preventing funding for innovations such as the 3D-CBS (3D Complete Body Screening). This advanced PET/CT system can detect cancer at an early curable stage and has the potential to cut premature cancer deaths by half.
Positron Emission Tomography (PET) technology, fundamental to the 3D-CBS, relies on the accurate extraction and identification of specific photons (pairs of 511 keV) linked to tumor markers from radiation. This task is remarkably similar to the work performed in multi-billion euro experiments at CERN, which involve extracting and identifying various particles like photons, electrons, hadrons, muons, Higgs bosons, and other particles from radiation.
Radiation is emitted continuously, regardless of how efficiently we extract valuable information. To enhance efficiency, instruments such as PET devices or CERN’s Level-1 Trigger must be capable of executing complex, programmable algorithms. These algorithms need a sufficient number of operations to efficiently filter valuable data while sustaining ultra-high data streams without loss.
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3. The Core of the Problem: Inefficient Data Filtering at CERN
In high-energy physics experiments (HEP), the apparatus—the LHC accelerator and its detectors—generated 1.2 billion events per second (equivalent to 2.4 Petabytes per second) until 2025. The upcoming upgrade to the High-Luminosity LHC (HL-LHC), approved by the CERN Council for 2026-2036, is projected to generate an astonishing 8 billion events per second (67 Petabytes per second).
The most crucial component in this entire multi-billion euro project is an electronic data acquisition and processing unit called the Level-1 Trigger. Its primary task is to analyze and filter incoming data in real-time from a subset of fast subdetectors. This system is designed to keep only the most promising events, discarding over 99% of the rest. This extreme filtering is necessary because saving all raw data would overwhelm every hard drive on the planet in a single day.
However, data discarded by an inefficient Level-1 Trigger is lost forever. An inefficient system means billions of euros are wasted as thousands of scientists spend years analyzing irrelevant data. To effectively filter promising events and resolve the “pile-up” (multiple interactions per beam crossing) at the HL-LHC, the Level-1 Trigger will need to execute algorithms with thousands programmable operations on each dataset arriving every 25 nanoseconds, without missing any data.
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4. The Devastating Cost of Inefficiency: Beyond Euros to Human Lives
While it is detrimental to taxpayers that CERN has wasted over €4 billion in past decades due to the inefficiency of their FPGA-Based Level-1 Triggers, the consequences are far more damaging in medical imaging applications.
The suppression of Crosetto’s 3D-Flow and 3D-CBS inventions has, for decades, prevented the development of devices capable of accurately extracting and identifying all valuable data from radiation linked to tumor markers. These inventions could enable cost-effective early cancer detection, at a very low examination cost, requiring a very low radiation doses, and identifying tumors with fewer than 100 cancer cells—a breakthrough that saves lives.
Suppressing the advantages of the 3D-Flow invention in physics experiments results in billions of euros lost by taxpayers. Yet, in medical imaging applications, this suppression has led to the premature loss of over 39 million lives that could have been saved— a loss that far exceeds any financial measure (see article https://bit.ly/3AbUghP).
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5. Historical Evidence of FPGA-Based Trigger Ineffectiveness
For decades, CERN’s FPGA-Based Level-1 Triggers have proven ineffective, leading to multiple redesigns that failed due to a flawed choice of architecture. This architecture allowed for fewer than 40 programmable operations, rendering it unsuitable for Level-1 Triggers. FPGA is also unsuitable for High-Level Triggers (HLT) because commercial computers offer higher computing power at a lower cost with operating systems and application programs easier to use than FPGA’s simulators and development systems’ tools.
While FPGAs are excellent devices for many other applications, their use for Level-1 Trigger is fundamentally flawed in this context.
This inefficiency is confirmed by experimental results. On July 4, 2012, only 40 Higgs boson-like events were announced. These were found by chance from 1,000 trillion collisions generated over two years, whereas statistical analysis suggests over 100,000 Higgs bosons should have been produced.
For the future HL-LHC, CERN has approved the Phase 2 upgrades of the ATLAS and CMS experiments. These are currently under construction, and funds have been secured for the entire project, as announced by the CERN Council on June 20, 2025. However, funding agencies must be informed about the scientific inconsistencies inherent in CERN’s FPGA-Based Level-1 Triggers. With the same volume of 1,000 trillion collisions, the HL-LHC in 2029 is expected to yield over 750,000 Higgs bosons. Filtering this immense volume of data requires a Level-1 Trigger capable of executing thousands of programmable operations to filter noise more effectively and resolve pile-up events; the current 66 operations are utterly inadequate.
For example, CERN-CMS’s own technical report (Table 3.2 of [4]) reveals that the CMS FPGA-Based Level-1 Trigger for 2026-2036 experiments will consist of 20 trillion transistors, consume 650 kW, and cost several million euros, yet it is limited to approximately 66 programmable operations. This limitation, which is inadequate to filter over 99% of the data, can be proven by conceptually analyzing FPGA architecture and by using simulation tools from Xilinx, the FPGA manufacturer.
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6. The Stark Contrast: Crosetto’s 3D-Flow Invention
By Contrast, Crosetto’s 3D-Flow invention offers a solution that could save taxpayers billions on future CERN projects and save millions of lives from premature cancer deaths.
Recognized as a breakthrough in 1993 by a major scientific review at Fermilab [1] for its ability to accurately recognize objects (particles) traveling at the speed of light (photons). Crosetto’s 3D-Flow received initial funding and a subsequent $1 million grant for a successful feasibility study, detailed in a 1999 peer-reviewed publication in Nuclear Instruments and Methods in Physics Research (NIM) [2]. The 3D-Flow architecture has broad applications:
• Improving efficiency in multi-billion-euro CERN experiments.
• Enabling the 3D-CBS [3] (3D Complete Body Screening) – a PET/CT device for the early detection of many diseases, including cancer, at a highly curable stage.
• Creating real-time defense shields against weapon attacks.
Crosetto has already proven the functionality of his 3D-Flow invention in hardware. He built, at his own expense, a 3D-Flow system with 144 processors in hardware circuits, which he presented at the IEEE-NSS-MIC-RTSD conference in Portland, Oregon (https://bit.ly/43Rlk0s).
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7. Repeated Attempts to Fund a Superior Alternative
In 2015, Crosetto was invited by the Director of the U.S. Department of Energy (DOE) High Energy Physics Division—who managed a $1 billion annual budget and had previously supervised Crosetto at the Superconducting Super Collider—to submit a proposal for a universal Level-1 Trigger system that could meet the requirements of all CERN experiments.
Crosetto submitted a comprehensive 274-page proposal, supported by 59 quotes from reputable industries (https://bit.ly/4mT9yvk). The proposal detailed:
• Construction plans and costs for a 3D-Flow system capable of replacing all CERN Level-1 Triggers;
• A parallel 3D-Flow system designed for the 3D-CBS medical imaging application.
Despite this, funding was again allocated to CERN to build multiple FPGA-based Level-1 Triggers, which were later dismissed as inadequate.
Despite proving the 3D-Flow’s functionality in hardware circuits and submitting repeated funding requests in both the U.S. and Europe, Crosetto received no funding—not even a fraction of the annual $2 trillion research and development budgets—to build a complete 3D-Flow system for CERN experiments or a 3D-CBS for medical imaging. This lack of support has prevented experimental proof that 3D-CBS can halve the mortality rate from cancer.
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8. Thirty-Two Years Without Any Refutation
For 32 years, the 3D-Flow architecture advantages and benefits in many fields have never been refuted by any prestigious scientific body worldwide. This remained true even after Crosetto’s two-hour presentation at the 2024 IEEE-NSS-MIC-RTSD Conference, where:
• All six of his abstracts were approved;
• He presented 102 slides, which IEEE posted on their website for the 1,300 attending scientists;
• He later published these materials publicly and wrote an 82-page article elaborating and substantiating the presentation;
• He also created two concise 2-page summaries [5].
If built in 120 nm CMOS technology in 1999, as detailed in his approved peer-reviewed article [2], the 3D-Flow architecture could have executed over 400 programmable operations on each dataset arriving every 25 nanoseconds with no data loss. This would have met the requirements of all CERN experiments until 2026, avoiding the need to construct multiple FPGA-Based Triggers.
Today, if built with 20 nm CMOS technology, the 3D-Flow architecture can meet the demanding HL-LHC requirements of 8 billion events per second for all Level-1 triggers across all CERN experiments until 2042.
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9. The 3D-Flow Architecture: A Scalable, Universal Processing System
Crosetto has provided a detailed design (https://bit.ly/4mT9yvk) of his technology-independent 3D-Flow architecture, supported by 59 industry quotes, demonstrating that it is scalable and capable of processing ultra-high data streams while accurately recognizing objects (particles) moving at the speed of light.
When implemented in 20 nm CMOS technology, Crosetto summarized his 82-page study (https://bit.ly/4e1uURA) into a single table within a two-page article (https://bit.ly/3YF8Oj8). This table illustrates the cost, performance, and number of channels for crates implemented in different form factors using both small and large electronic boards:
1. Crate with Small Electronic Boards: Suitable for medical imaging applications, a crate with small electronic boards (160 mm x 220 mm) in the 6U VME form factor contains 25,344 3D-Flow processors. Its total estimated cost, including the CPU board, back panel, cables, and power supply, is $47,500. This offers a configurable implementation, for example, 2,048 channels with the capability to execute up to 2,015 programmable operations on each dataset arriving at each channel every 25 nanoseconds without missing any data. The crate has 21 slots, allowing two 128-channel boards to be added to meet the requirements of the 2,304-channel 3D-CBS application. This 6U VME crate can be configured for different numbers of channels and operations.
2. Crate with Large Electronic Boards: For high-performance applications such as CERN Level-1 Triggers, a crate with large electronic boards in ATCA, VXI, or other form factors for high performance applications such as CERN Level-1 Trigger, contains 68,352 3D-Flow processors.
The total estimated cost, including the CPU board, back panel, cables, and power supply, is $85,500.
This large boards implementation offers multiple flexible configurations:
• 4,096 channels per crate, each capable of executing up to 2,418 programmable operations on each dataset arriving every 25 nanoseconds, or
• 1,024 channels per crate, each capable of executing up to 9,672 programmable operations per dataset.
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10. Estimates of Channels and Operations Needed to Meet CERN ATLAS and CMS Level-1 Trigger Requirements
To estimate the number of channels and operations needed to meet the Level-1 Trigger requirements of the ATLAS and CMS experiments at CERN, it is useful to consider the following:
• The number of channels can be determined by the number of Trigger Towers:
o CMS has 3,888 Trigger Towers, plus additional Towers from the forward calorimeter.
o ATLAS has approximately 7,200 Trigger Towers.
The Trigger Tower segmentation of the detector provides a useful reference point. However, as detailed in numerous documents by Crosetto, the 3D-Flow architecture offers extraordinary flexibility for experimental physicists to design algorithms optimized to filter noise, resolve pile-up, and identify the most promising events.
This is achieved by allowing data from fast subdetectors—within the view angle seen from the interaction point segmented by the trigger tower. Therefore, signals from the CMS electromagnetic and hadronic Trigger Towers are combined into the same electronic channel, along with signals from all other subdetectors covering the same angular region.
Each 3D-Flow processor then exchanges its input data with its 3×3, 4×4, 5×5, or larger matrix of neighboring processors. This approach provides physicists with maximum flexibility and computational power to implement sophisticated algorithms capable of isolating rare particles. Examples include identifying local maxima, calculating total energy, determining the ratio front-to-back between hadronic and electromagnetic calorimeter, and many other signatures listed in the CMS and ATLAS TDR and on page 35 of [5], as well as performing additional calculations that are currently impossible due to the limited number of operations executable by current Level-1 Triggers. As Fermilab’s reviewers noted on page 6 of their repot [1]
“…given this feature [the 3D-Flow architecture] experimenters would probably think of clever uses not now possible”.
The scalability of the 3D-Flow architecture means it can be configured to meet any performance requirement. The exact configuration is determined by each experimental team’s estimate of the maximum number of programmable operations needed for their real-time Level-1 Trigger algorithms.
For example:
• If the requirement can be met with 2,418 operations, a single crate is sufficient to handle signals from all 3,888 channels in CMS.
• ATLAS could route signals from two Trigger Towers into a single channel, using the same configuration.
• If higher performance is needed (i.e., doubling the number of operations), two crates can be used, with a total cost of $171,000.
• Every time the number of operations doubles, the number of crates also doubles accordingly.
Crosetto simulated the 3D-Flow system with over 10,000 processors, modeling it from the system level in C++, down to the gate level in VHDL, and finally to the transistor level linked to a specific CMOS technology. He also built a hardware prototype with 144 processors.
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11. CERN’s FPGA-Based Level-1 Trigger: A Multi-Million-Euro Misstep, Causing Billion-Euro Waste
CERN’s current FPGA-Based Level-1 Trigger, with its 20 trillion (or even 200 trillion) transistors, cannot meet Level-1 Trigger requirements, leading to the waste of billions of taxpayer euros.
Example of CERN’s FPGA-Based Level-1 Trigger Architecture (CMS) Demonstrating Massive Waste of Public Funds
As an illustrative example of CERN’s approach, consider the FPGA-based Level-1 Trigger system implemented for the CMS experiment, described in detail in:
• CMS Technical Design Report CMS-TDR-022 (378 pages, dated 17 June 2021) [4]:
https://cds.cern.ch/record/2759072/files/CMS-TDR-022.pdf
• CMS Technical Design Report CMS-TDR-021 (383 pages, dated 10 March 2020) [6]:
https://cds.cern.ch/record/2714892/files/CMS-TDR-021.pdf
According to Table 3.2 on page 46 of CMS-TDR-022 [4], the system consists of 1,648 FPGAs, containing a total of 20 trillion transistors, housed in 130 ATCA crates, consuming 650 kW of electrical power, costing several million euros, yet limited to performing approximately 66 programmable operations per event.
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12. Even Massive Increases in FPGA Resources Cannot Overcome Fundamental Inefficiency
Any future increase in performance of CERN’s FPGA-based Level-1 Triggers will still fail to meet requirements, even if achieved at exorbitant costs and power consumption.
For example, if CERN attempted to:
• Expand to 200 trillion transistors by replacing all FPGAs with the latest Xilinx Virtex Ultrascale VU19 devices (each containing 35 billion transistors), and
• Increase the total number of FPGAs,
the maximum number of operations per event would most likely never exceed 100—still vastly inferior to the thousands of operations achievable by the 3D-Flow system at a fraction of the cost.
Such an upgraded CERN system would:
• Consume over 6 megawatts of electrical power,
• Cost hundreds of millions of euros, and
• Still remain fundamentally inefficient, ultimately still wasting, like the current system described in TDRs [4] and [6] over €12 billion in the coming decades, including:
o The annual €1 billion cost of operating the HL-LHC, and
o The salaries of thousands of scientists tasked with analyzing largely irrelevant data.
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13. A Decade of Obstruction: Documented Cases of Suppression
Despite Crosetto’s extensive efforts to engage in open dialogue with his colleagues and highlight these inconsistencies, facts and evidence gathered over the past decades reveal not only persistent obstruction of transparency at CERN but also direct suppression on Crosetto’s 3D-CBS medical application of his inventions —an invention capable of saving millions of lives through early cancer detection. Here are some examples:
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14. 1999 – Physics Application: DOE Denies Presentation Despite Peer-Reviewed Validation
In 1999, after the U.S. Department of Energy (DOE) awarded Crosetto a $1 million grant to conduct a feasibility study of his 3D-Flow invention, he successfully delivered results demonstrating the detailed construction of a universal Level-1 Trigger meeting the requirements of all CERN experiments until 2026.
These results were peer-reviewed and published in Nuclear Instruments and Methods in Physics Research (NIM) [2].
Despite this, when Crosetto repeatedly requested to present his work at DOE Headquarters—specifically to compare it side by side with the alternative Cluster finder ASIC and FPGA-based trigger projects for CERN—the meeting was always denied.
Instead, the DOE funded the FPGA-based trigger systems, which were ultimately dismissed in 2016 as ineffective.
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15. 2010–2011 – Cancer Application: Suppression During CERN “Physics for Health” Workshop
On 2 February 2010, Crosetto participated in the CERN workshop “Physics for Health”, where he presented an article co-signed by 1,000 individuals, with the abstract translated into ten languages (Chinese, Dutch, English, French, German, Italian, Japanese, Portuguese, Russian, Spanish).
During the workshop, Crosetto attempted to speak in the CERN auditorium when the Axial-PET project was presented. He had prepared evidence that Axial-PET had:
• Lower sensitivity,
• Higher cost than existing PET projects,
• Unsuitability for human use due to requiring patients to receive dangerously high radiation doses.
He was silenced and prevented from presenting these facts.
Despite the serious shortcomings, Axial-PET received first prize from the Scientific Committee chaired by a former CERN Director of Research. Later, Crosetto discovered that this same individual was also the leader of the Axial-PET project, effectively awarding a prize to his own project.
On 12 January 2011, in the presence of an Italian cardiac surgeon, Crosetto offered to meet with this former CERN Director of Research to explain in detail why Axial-PET was unsuitable for human applications. His concerns were ignored. In the end, the Axial-PET project was abandoned, confirming Crosetto’s assessment.
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16. 2015 – Physics and Cancer Application: DOE Again Blocks Presentation Despite Detailed Proposal It Requested
In 2015, Crosetto was invited by the Director of DOE High Energy Physics to submit a proposal for a universal Level-1 Trigger system capable of meeting the requirements of all LHC experiments at CERN.
Crosetto submitted a comprehensive 274-page proposal, supported by 59 quotes from reputable industries (https://bit.ly/4mT9yvk). The proposal described:
• The construction and cost of a 3D-Flow system replacing all CERN Level-1 Triggers, and
• A second 3D-Flow system for the 3D-CBS medical imaging application.
The DOE Director assured Crosetto that he would organize a presentation at the DOE headquarters so that Crosetto could answer questions from funding decision-makers. However, this promised meeting was never organized.
Instead, funding was again awarded to U.S. researchers developing FPGA-based Level-1 triggers for the CMS and ATLAS experiments—systems that were later dismissed as inadequate.
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17. 2016 – Physics and Cancer Application: CERN Leadership Refuses to Organize a Presentation
In 2016, the same former CERN Director of Research approached Crosetto at the IEEE-NSS-MIC-RTSD Conference in Strasbourg, France, to review the 274-page proposal (supported by the 59 industry quotes) which Crosetto had submitted the previous year to the U.S. DOE.
Crosetto asked him to organize a presentation of the proposal at CERN to allow it to be compared transparently with other projects. Nothing in the proposal was refuted, yet the former Director of Research refused to organize any such meeting.
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18. 2017 – Physics and Cancer Application: European Parliament Intervenes, Demanding Accountability at CERN with a Public Comparison Request, But Is Denied
In 2017, the leader of the second-largest political group in the European Parliament wrote a formal letter to CERN Director General Prof. Fabiola Gianotti, requesting a public meeting at CERN between Crosetto and particle detection experts to review Crosetto’s inventions for physics and medical imaging applications.
Prof. Gianotti appointed three scientists to organize this meeting: two Americans who had helped prepare the 1993 review of Crosetto’s 3D-Flow invention at Fermilab, and the President of the Italian INFN CSN1 (HEP with accelerators), based in Turin, who coordinates INFN’s national research activities in high energy physics, overseeing approximately €22 million per year for 5 years, totaling around €110 million. Despite Crosetto’s efforts, he was unable to convince them to implement transparency by reviewing and comparing his inventions with other approaches. During a visit to his native country, Crosetto visited the office of the President of the Italian INFN CSN1 in Turin, but she refused to organize such a meeting, and the CERN Director General did not appoint other scientists. None of the three scientists ever refuted any of Crosetto’s articles, documents, calculations, or claims; they simply denied transparency.
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19. 2018–2019 – Cancer and Physics Application: European Union Funds Impractical Project, Crosetto Silenced Again
In 2018–2019, the European Union allocated €17 million to the CERN-ATTRACT Consortium to fund innovative projects.
Among the recipients was WPET, a 350 kg wearable PET device, presented at the CERN Auditorium on 21 May 2019 (http://bit.ly/2JWsxG2, https://bit.ly/3iydDp3). The device was intended to be worn for 24 hours to perform cancer screening.
Crosetto attempted to speak in the auditorium to highlight that the WPET concept was: scientifically inconsistent, and entirely impractical, but he was silenced again.
Later, Crosetto was able to briefly speak in person with CERN Director General Prof. Fabiola Gianotti in the CERN cafeteria. She instructed him to contact her office to schedule an appointment. However, this appointment was never arranged, his emails went unanswered, and even official emails sent to several scientists and institutions with copies to CERN (because the topic related to particle detection, pertinent to CERN’s mission) were blocked, as were phone calls.
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20. 2021–2022 – Cancer Application: European Parliament Demands Accountability, But EU Commission Increases Funding Instead
In 2021–2022, Member of the European Parliament Alessandro Panza submitted a Parliamentary Question (https://bit.ly/3HKjreL) demanding accountability from CERN-ATTRACT for: funding the impractical and scientifically inconsistent WPET project, and suppressing the scientifically validated 3D-CBS project.
Instead of asking CERN to organize a public meeting between Crosetto and the authors of WPET to compare the scientific merits of their respective projects, the European Commission allocated an additional €28 million to the CERN-ATTRACT Consortium: https://cerneu.web.cern.ch/attract-unveils-projects-will-benefit-its-eu28-million-fund-innovation
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21. 2024 – Physics Application: CERN Ignores Evidence of 3D-Flow Advantages Presented to IEEE and Leading Scientists
On 20 December 2024, Crosetto sent an email to scientists, IEEE leaders, decision-makers, and the CERN Director General, including copies of the six papers accepted by the 2024 IEEE-NSS-RTSD scientific conference, the 102 slides, and a link to the video of his two-hour presentation at the conference on October 31, 2024.
This material demonstrated the staggering advantages of his 3D-Flow Level-1 Trigger system compared to all CERN FPGA-Based Level-1 Triggers. He then called CERN to make sure it was received and inquire about setting a date and time to speak with the CERN Director General or an expert appointed by her regarding the conference material, which could save taxpayer money and provide a powerful tool to experimental scientists. No one connected his communication with the CERN Director General’s office. His call was transferred instead to the head of CERN Service Desk, who was reportedly very rude, stated that the Director’s Office refused to talk to him, and told Crosetto that his emails were spam and his work was “non-sense.” Crosetto repeatedly asked for clarification on what specific aspects were considered “non-sense,” but no explanation was provided.
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22. 2025 – Physics Application: Former Colleagues Acknowledge the Scientific Soundness of 3D-Flow but Lack Influence
On 30 April 2025, Crosetto met with former colleagues at the University of Physics in Turin, Italy. He had lunch with some of them and discussed his 102 slides he presented on 31 October 2024 at the IEEE-NSS-MIC-RTSD conference and the 82-page scientific article (https://bit.ly/4e1uURA) he wrote afterward. Nothing was refuted. He later emailed the two, 2-page articles (https://bit.ly/4jMdpbD; https://bit.ly/3YF8Oj8) to a few former colleagues who made minor English corrections, but the content remained unrefuted. Although these former colleagues are highly experienced in detectors and high-energy physics experiments at CERN (some are retired senior scientists, one is a full professor of 20 years), none are influential decision-makers in the scientific community.
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23. 2025 – Physics Application: Final Attempt to Engage the Former INFN CSN1 President
The same day, Crosetto also visited the office of the former President of the Italian INFN CSN1, who was appointed in 2017 by the CERN Director General to organize a meeting at CERN to review Crosetto’s inventions and compare them with other projects but never did so. She was deeply familiar with the CERN CMS experiment, as she “managed 300 Italian physicists involved in the CMS experiment” from 2012-2014 and was “Coordinator of the CMS Torino group” from 2009-2011.
As she was not in her office, Crosetto left a paper copy of his 82-page scientific article on her desk with a note, asking her to point out anything she considered illegitimate or unscientific. He also asked the scientist sharing her office to inform her of his visit and to suggest a convenient day for a meeting. However, Crosetto never received any response.
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24. A Record of Systematic Suppression and Denial of Transparency
This history represents only a partial list of well-documented facts and evidence showing:
• Systematic suppression of transparency and accountability,
• Total refusal to engage in scientific dialogue, and
• Reluctance to confront documented inconsistencies.
This deliberate obstruction harms both taxpayers and cancer patients, by:
• Wasting more than €12 billion in public funds,
• Hindering scientific progress, and
• Preventing life-saving innovations from reaching those in need.
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25. Urgent Call to Action: Freeze CERN Funding Until a Transparent Scientific Review is Conducted
Given this record of avoidance, taxpayers have no other choice but to ask Members of the European Parliament and national parliaments to:
Freeze all funding for these projects at CERN,
and resume only after a public scientific meeting is held between:
• The designers of CERN’s FPGA-Based Level-1 Triggers—which, according to CERN’s own technical report (Table 3.2 of [4]), consume 650 kW while performing only 66 programmable operations, and
• Crosetto, whose 3D-Flow system consumes just 6 kW, can execute over 8,000 programmable operations (Table I, [5]), meets the requirements of CERN experiments through 2042, and costs only a fraction as much.
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Our apologies for sending this long document containing many technical details that Members of the European Parliament and other representatives may not be familiar with. However, its content is far more than a mere complaint or grievance. It presents substantial evidence of profound harm to society, impacting all of us through the waste of over €12 billion in taxpayer money and the loss of critical innovations. These issues demand immediate intervention from politicians entrusted with public funds.
If any MEP or Representative doubts the severity of the damage outlined in this document, we respectfully request that they provide the names and statements of scientists or institutional leaders in the field who are willing to publicly take responsibility for countering the facts and evidence presented herein. Unless such qualified experts publicly refute these points, action to freeze funding to CERN for these projects and to submit a Parliamentary Question requesting a meeting between CERN’s designers of the FPGA-based trigger system and Crosetto’s 3D-Flow architecture remains necessary.
The message of the experts countering and substantially invalidating these points, if any, should be made public so that everyone can assess whether €12 billion in public funds—and the potential loss of life-saving innovations—are truly at risk
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26. Take Action Now: Support Transparency and Innovation
The Crosetto Foundation for the Reduction of Cancer Deaths, a U.S. 501(c)(3) nonprofit, is committed to saving lives through scientific integrity and innovation.
For eight consecutive years, the Crosetto Foundation has been awarded the Gold Seal for Transparency by GuideStar:
https://www.guidestar.org/profile/03-0544575
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27. How You Can Help
By donating—online or via Zelle at donate@crosettofoundation.org—you can play a direct role in. :
• saving lives and transforming the future of cancer detection,
• Preventing the waste of billions in taxpayer funds, and
• Ensuring vital research dollars are invested in scientific breakthroughs that truly benefit humanity.
The innovative 3D-CBS device offers hope not only for you and your loved ones but for generations to come by dramatically reducing the risk of premature death from cancer.
With your support, we can move closer to halving the devastating global toll of over 10 million cancer deaths each year.
Your contribution is not merely a donation—it is an investment in a healthier, brighter future for all.
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28. Help Spread the Word
Please share these irrefutable facts and evidence with your friends, colleagues, and networks.
Contact your representatives in the European Union and in your home country within Europe. Additionally, reach out to your representatives in the United States, as the U.S. funds CERN annually with multi-million dollar contributions.
The original agreement with CERN included a $531 million U.S. contribution to the LHC infrastructure. Furthermore, the U.S. Department of Energy (DOE) contributed $250 million, and the National Science Foundation (NSF) provided $81 million for the ATLAS and CMS experiments. Each year, U.S. taxpayers continue to fund hundreds of millions of dollars in hardware, computing, and personnel costs for CERN activities.
For instance, in 1995, the DOE funded Crosetto with $1 million to conduct a feasibility study of the 3D-Flow. Despite his demonstration that it was feasible, with results published in 1999 in the approved peer-reviewed NIM article [2], the DOE funded another American researcher for over $50 million. In 2015, the DOE again funded an FPGA-Based Level-1 Trigger for CERN (see page 8).
Share this material with them and demand accountability at CERN for your taxpayer money.
You may also wish to read and share the following press releases:
• In English:
https://bit.ly/4mQ9PiL
https://bit.ly/4naZUEm
https://bit.ly/4era28b
• In Italian:
https://bit.ly/4kU8vJI
https://bit.ly/4lga0lP
https://bit.ly/3T7G1R8
These materials can help raise awareness and reach decision-makers who might otherwise remain uninformed.
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29. Donate Today
We hope the evidence and history shared here inspire you to support this cause.
Please consider making a tax-deductible donation of any amount at:
https://crosettofoundation.org/donate-now/
or via Zelle at donate@crosettofoundation.org.
Thank you very much.
The Crosetto Foundation for the Reduction of Cancer Deaths
Video link (https://www.youtube.com/watch?v=HwMnHRuWo4o)
References:
[1] FERMILAB scientific review committee recognition of the 3D-Flow invention, 1993 (https://bit.ly/3FJaPob).
[2] Crosetto DB. Nuclear Instruments and Methods in Physics Research A, Vol. 436, pp.341-385, 1999. (https://bit.ly/3tKd9Fl).
[3] Crosetto DB. Book on the 3D-CBS (3D-Complete Body Screening) invention: “400+ times improved PET efficiency for lower-dose radiation, lower-cost cancer screening” (ISBN 0-9702897-0-7) (https://bit.ly/45U2Wqv)
[4] CERN-CMS-TDR-022: (378 pages, dated 17 June 2021, (https://cds.cern.ch/record/2759072/files/CMS-TDR-022.pdf).
[5] Crosetto DB. Table I: 3D-Flow-Based Level-1 Trigger sistema performance, power consumption requirements and costs 82-page (https://bit.ly/4e1uURA); 2-page comparison (https://bit.ly/4jMdpbD); 2-page scalable universal processing system (https://bit.ly/3YF8Oj8).
[6] CERN-CMS-TDR-021: (383 pages, dated 10 March 2020, (https://cds.cern.ch/record/2714892/files/CMS-TDR-021.pdf
Media Contact: Jennifer Colburn
Crosetto Foundation for the Reduction of Cancer Deaths
DeSoto, TX
United States
Telephone: 9724225433
Email: Email Us Here
Website: Visit Our Website
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The Crosetto Foundation for the Reduction of Cancer Deaths, a U.S. 501(c)(3) nonprofit, is committed to saving lives through scientific integrity and innovation.
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https://www.guidestar.org/profile/03-0544575
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