Gap-Survival Probability and Rescattering in Diffraction at the LHC

The feasibility is discussed of rediscovering hard diffraction at the LHC with the first 10-100~pb$^{-1}$ collected by the CMS detector. Studies are presented of single-diffractive di-jet production in $pp$ collisions at $\sqrt{s}=14$~TeV, single-diffractive $W$ boson production and $Y$ photoproduction. The prospects of assessing the rapidity-gap survival probability are discussed

Triggering on Forward Physics

The feasibility is investigated of a dedicated trigger stream in the CMS trigger menu, with an output rate of cal O (1)~kHz on the First Level Trigger and cal O (1)~Hz on the High Level Trigger. By combining jet trigger information from the CMS calorimeter with information from the TOTEM Roman Pot detectors at 220 m distance from the interaction point, the default dijet trigger thresholds foreseen in the CMS trigger tables can be lowered substantially while respecting the CMS trigger bandwidth limits. The efficacy of the dedicated diffractive trigger stream is demonstrated for hard single-diffractive and double-Pomeron exchange events

Firmamento: a multi-messenger astronomy tool for citizen and professional scientists

Firmamento (https://firmamento.hosting.nyu.edu) is a new-concept web-based and mobile-friendly data analysis tool dedicated to multi-frequency/multi-messenger emitters, as exemplified by blazars. Although initially intended to support a citizen researcher project at New York University-Abu Dhabi (NYUAD), Firmamento has evolved to be a valuable tool for professional researchers due to its broad accessibility to classical and contemporary multi-frequency open data sets. From this perspective Firmamento facilitates the identification of new blazars and other multi-frequency emitters in the localisation uncertainty regions of sources detected by current and planned observatories such as Fermi-LAT, Swift , eROSITA, CTA, ASTRI Mini-Array, LHAASO, IceCube, KM3Net, SWGO, etc. The multi-epoch and multi-wavelength data that Firmamento retrieves from over 90 remote and local catalogues and databases can be used to characterise the spectral energy distribution and the variability properties of cosmic sources as well as to constrain physical models. Firmamento distinguishes itself from other online platforms due to its high specialization, the use of machine learning and other methodologies to characterise the data and for its commitment to inclusivity. From this particular perspective, its objective is to assist both researchers and citizens interested in science, strengthening a trend that is bound to gain momentum in the coming years as data retrieval facilities improve in power and machine learning/artificial intelligence tools become more widely availableComment: Accepted for publication in A

Penilaian Kinerja Keuangan Koperasi di Kabupaten Pelalawan

This paper describe development and financial performance of cooperative in District Pelalawan among 2007 - 2008. Studies on primary and secondary cooperative in 12 sub-districts. Method in this stady use performance measuring of productivity, efficiency, growth, liquidity, and solvability of cooperative. Productivity of cooperative in Pelalawan was highly but efficiency still low. Profit and income were highly, even liquidity of cooperative very high, and solvability was good