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A significant benchmark for discovery at a proton-proton collider is the sensitivity to a dijet resonance, X, the intermediate state of the s-channel process $pp \rightarrow X \rightarrow 2\mbox{ jets}$. To probe the highest resonance masses, hadron collider experiments have used the classic technique of searching for bumps in the mass spectrum of two individually resolved jets. In this Snowmass 2021 study, we explore the search sensitivity to multiple benchmark models of dijet resonances at current and future proton-proton colliders. We present the expected masses for $5\sigma$ discovery and 95\% confidence level exclusion of diquarks, colorons, excited quarks, $W^{\prime}s$, $Z^{\prime}s$ and Randall-Sundrum gravitons, resulting from accumulation of integrated luminosities between 10 and $10^5$ fb$^{-1}$, at proton-proton colliders operating at energies $\sqrt{s}=$ 13, 14, 27, 75, 100, 150, 300 and 500 TeV.

A significant benchmark for discovery at a proton-proton collider is the sensitivity to a dijet resonance, X, the intermediate state of the s-channel process $pp \rightarrow X \rightarrow 2\mbox{ jets}$. To probe the highest resonance masses, hadron collider experiments have used the classic technique of searching for bumps in the mass spectrum of two individually resolved jets. In this Snowmass 2021 study, we explore the search sensitivity to multiple benchmark models of dijet resonances at current and future proton-proton colliders. We present the expected masses for $5\sigma$ discovery and 95% confidence level exclusion of diquarks, colorons, excited quarks, $W^{\prime}s$, $Z^{\prime}s$ and Randall-Sundrum gravitons, resulting from accumulation of integrated luminosities between 10 and $10^5$ fb$^{-1}$, at proton-proton colliders operating at energies $\sqrt{s}=$ 13, 14, 27, 75, 100, 150, 300 and 500 TeV.

We study the expected experimental mass distributions of dijet resonances from excited quarks in proton-proton collisions at energies $\sqrt{s}=$ 13, 14, 27, 100, 300, and 500 TeV. We explore in detail the expected shapes at both the generator and experimental levels, and identify within the distributions the effects of the excited quark natural width, parton momentum distributions of the proton, radiation, and experimental resolution. We present both differential and cumulative probability distributions as a function of dijet mass, and the signal acceptance of a window in dijet mass centered on each resonance. We find that for a range of resonance masses, between 10\% and 50\% of $\sqrt{s}$, the dijet mass distributions and window acceptance are practically universal, approximately invariant under changes in resonance mass and $\sqrt{s}$. This work supports our Snowmass 2021 study on the sensitivity to dijet resonances at proton-proton colliders.

We study the expected experimental mass distributions of dijet resonances from excited quarks in proton-proton collisions at energies s = 13, 14, 27, 100, 300, and 500 TeV. We explore in detail the expected shapes at both the generator and experimental levels, and identify within the distributions the effects of the excited quark natural width, parton momentum distributions of the proton, radiation, and experimental resolution. We present both differential and cumulative probability distributions as a function of dijet mass, and the signal acceptance of a window in dijet mass centered on each resonance. We find that for a range of resonance masses, between 10% and 50% of s, the dijet mass distributions and window acceptance are practically universal, approximately invariant under changes in resonance mass and s. This universality is violated when the resonance mass reaches 60% of s, because the steepness of the parton momentum distributions of the proton produces a significant tail at low dijet mass. This work supports our Snowmass 2021 study on the sensitivity to dijet resonances at proton-proton colliders.

Particle Flow Algorithms (PFAs) attempt to measure each particle in a hadronic jet individually, using the detector subsystem that provides the best energy/momentum resolution. Calorimeters that can exploit the power of PFAs emphasize spatial granularity over single particle energy resolution. In this context, the CALICE Collaboration developed the Digital Hadron Calorimeter (DHCAL). The DHCAL uses Resistive Plate Chambers (RPCs) as active media and is read out with 1 × 1 cm 2 pads and digital (1-bit) resolution. In order to obtain a unique dataset of electromagnetic and hadronic interactions with unprecedented spatial resolution, the DHCAL went through a broad test beam program. In addition to conventional calorimetry, the DHCAL offers detailed measurements of event shapes, rigorous tests of simulation models and various analytical tools to improve calorimetric performance. Here we report on the results from the analysis of DHCAL data and comparisons with the Monte Carlo simulations.

Hadronic Forward(HF) detector is one of the sub-detectors of the CMS. It plays an important role in the measurement of forward jets and missing energy. HF is situated on both sides of the CMS interaction point, at about $\pm$11 m, covers the very forward angles of CMS, in the pseudorapidity range (3.0 < | $η$ | < 5.0), leaving only clearance for the beam pipes. This calorimeter consists of quartz fibers embedded in the iron absorber. Cherenkov light created by the charged particles is transmitted to PMTs by the fibers. Fibers due to the proton-proton collisions are exposed to high radiation. This radiation causes deterioration of the fibers over the time. Special channels are placed in the HF detector to observe the changes in the fibers due to radiation. It is possible to monitor radiation damage online using the data taken for these channels. In this study, radiation damage of HF is analyzed using the local data which was taken during 2010 run period. A number of innovations and modifications have been proposed for the analysis method.

İleri Hadron (HF) dedektörü, Compact Muon Solenoid (CMS) deneyinin her iki yanında bulunup, CMS'nin çok ileri bölgedeki pseudorapidite (3.0 < | η | < 5.0) aralığını kapsar. Her bir HF modülü, demir soğurucuların uzunluğu boyunca ışın demeti eksenine paralel uzanan kuvars liflerinden yapılmıştır. HF, ışın eksenine yakın olduğu için yüksek düzeyde radyasyona maruz kalır. Ve yüksek radyasyon etkisi nedeniyle, kuvars fiberler zamanla bozulmaya başlar. Bu radyasyon etkisini belirlemek için HF detektörüne bazı özel fiberler yerleştirilmiştir. Radyasyonun neden olduğu hasarı izlemek için toplam 56 fiber kanalı kullanılmıştır. Bu çalışma, HF'nin radyasyon hasarının izlenmesi için 2010 yılı çalışma döneminde alınan yerel lazer verileri kullanılarak yapılmıştır. Belirli bir pseudorapidite ve azimutal açıda RadDam kanallarında önemli bir radyasyon hasarı gözlenmemiştir.

Calorimeters that can fully exploit the power of Particle Flow Algorithms, which attempt to measure each particle in a hadronic jet individually, emphasize spatial granularity over single particle energy resolution. In this context, the CALICE collaboration developed the Digital Hadron Calorimeter. The Digital Hadron Calorimeter uses Resistive Plate Chambers as active media and is read out with 1 x 1 cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> pads and digital (1-bit) resolution. The Digital Hadron Calorimeter went through a broad beam test program over several years to yield a unique dataset of electromagnetic and hadronic interactions with unprecedented spatial resolution. In addition to conventional calorimetry, the Digital Hadron Calorimeter offers detailed measurements of event shapes, rigorous tests of simulation models and various analytical tools to improve calorimetric performance. Here we report on the results from the analysis of DHCAL data and comparisons with the Monte Carlo simulations across various test campaigns.