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Title: The Effect of Time Step on HSPF Model Performance
Creator: Rubinstein, Benjamin J.
Date: 2023
Description: Hydrological modeling is a mature and well researched field; however, because most climate data are collected on hour or greater time...
Show moreHydrological modeling is a mature and well researched field; however, because most climate data are collected on hour or greater time intervals there is very little research on the effect of using high resolution data as inputs for the models. A Python tool for downloading high resolution five minute interval data from the Oklahoma Mesonet was created and the PyHSPF Python package was used to generate, calibrate, and validate HSPF models using five minute, one hour, and daily time steps. Flow errors, R², and Nash-Sutcliffe efficiency for simulated outflows, and resource usage were compared for each model. The hourly and five minute models performed similarly well, and the daily model performed significantly worse. The results of this work could prove useful for policy makers and researchers looking to update or create new climate data collection protocols, and the tools used can be applied to many different kinds of future research.
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Title: Understanding Location Bias in Fake News Datasets of Twitter
Creator: Patil, Kayenat Kailas
Date: 2023
Description: Fake news tends to spread faster and wider than real news. It has a greater impact and can lead to negative and dangerous outcomes. With the...
Show moreFake news tends to spread faster and wider than real news. It has a greater impact and can lead to negative and dangerous outcomes. With the world spending an increasing amount of time on their mobile devices, people tend to get more of their news from their desired social media platform. It has become part of our daily lives, whether it is to keep in touch with friends and family, to getting gossip on celebrities or even shopping. In 2022, the average time a person spends per day on the internet on a social media platform has been accounted to be about 147 minutes,[1] indicating an increase in time spent scrolling through information online.It has become a widespread phenomenon in recent years, thanks in part to the rapid spread of information through social media and other online channels. It is increasingly important to explore and understand fake news and its impact on society, as well as to develop effective tools and methods for detecting and combating it. There are several factors that can tamper with the successful detection of fake news. Machine learning models often fall to such biases that result in inaccurate predictions. There are several biases that have been identified like age, gender, sex and many more. In this thesis, we are exploring location as a form of a bias and if it hinders prediction. We have looked at location from two perspectives. One, taking location as co-ordinates in the form of latitude and longitude and analyzing the likelihood of a tweet coming from a location to be fake or not. The second method we have used is that we have considered location as an entity and used natural language processing model to see if its able to predict if the given tweet is fake or not, along with masking the location mentioned in the tweet and analyzing how the performance of the model changes. Machine learning models can play an important role in fake news detection models, by analyzing large amounts of data and identifying patterns and indicators that suggest a piece of information may be false or misleading, but they are often susceptible to some form of biases. By studying biases on machine learning models on fake news datasets, we can develop more effective tools for identifying fake news and taking steps towards mitigating it, ultimately helping to protect the integrity of information and promote informed decision-making in society.
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Title: Online Satire in Iran: Social Critique, Counter-Publicity and Public Opinion
Creator: Mirghaderi, Leilasadat
Date: 2023
Description: This dissertation examines and investigates the recontextualization of theories of satire, public sphere, and communicative action in the...
Show moreThis dissertation examines and investigates the recontextualization of theories of satire, public sphere, and communicative action in the context of Iranian Instagram satirists. The importance of this investigation is two-fold. First, since the advent of social media sites, several theoretical concepts have gone through paradigm shifts. In this regard, theories of satire, public sphere, and communicative action are no exceptions. Second, these theoretical concepts were primarily developed and analyzed in Western democratic nations and need to be revisited in the context of Iran. To this end, by looking through the lenses of these theories and taking into account the context of Iran, this dissertation identifies the major topics that Iranian Instagram satirists address and criticize. Therefore, the first goal of this dissertation is to provide insights with regards to how Iranian Instagram satirists are using humor to criticize different aspects of social, cultural, and political matters that are more salient in the context of Iran and to investigate how they are trying to transfer their knowledge and raise awareness about topics that are less publicly discussed.Furthermore, by analyzing the topics that are the main focus of Iranian Instagram satirists, accompanied by observations from my netnography study, and considering the current atmosphere and historical background of Iran, this dissertation argues the extent to which Iranian satirical content on Instagram facilitates the democratic exchange of ideas as a requirement for transformation from a public space to public sphere(s). This dissertation also examines the communicative action strategies that Iranian Instagram satirists employ to reach an understanding with the state as well as their followers. Finally, the dimensions and attributes of satire as well as the features of Instagram that facilitate the formation of public discourse and public opinion formation in Iran are identified. Methodologically, this dissertation utilized a combination of qualitative research methods including but not limited to netnography, thematic and content analysis, transcription of publicly available trade publication interviews, and critical discourse analysis. While themes and topics were extracted from the collected media from the Instagram pages of the Iranian Instagram satirists, the transcription of the publicly available trade publication interviews as well as critical discourse analysis were used to describe why some topics were more salient and to provide answers to the developed research questions. From the analysis of the posts and stories, ten themes that fall into two broad categories of inward and outward criticism were extracted. In the context of this research, the inward criticism category refers to the topics that unravel the social and cultural dimensions of relationships and interactions, while the outward criticism category refers to the topics that criticize the state and its established institutions. Taking a closer look at the results, we can see that in the context of Iran, it can be concluded that the online world accompanied by satire facilitates the democratic exchange of ideas as a requirement for transformation from a public space to public sphere(s). However, as Iranian Instagram influencers are expressing their opposing thoughts against the established hegemony and are also challenging what matters belong to the private or public domains, it can be said that they are forming subaltern counterpublics in the online world.
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Title: Understanding the Impact of Age and Gender Demographic Similarity in Assessment Center and Individual Assessment Ratings
Creator: Levin, Kelly
Date: 2023
Description: Organizations have become increasingly reliant on the use of assessment centers and individual assessments when making hiring decisions....
Show moreOrganizations have become increasingly reliant on the use of assessment centers and individual assessments when making hiring decisions. However, there has been relatively limited research on the prevalence of subgroup differences with the use of these tools. As such, this study investigated the individual characteristics of gender and age in both assessment centers and individual assessments. Specifically, the study examined how candidate gender and age, as well as the dyadic “match” between assessor-assessee gender and age impacted assessors’ hiring recommendations. Results from this research partially supported the hypothesized outcomes. Both female and younger candidates were rated more favorably on the overall assessment center recommendation. However, neither candidate gender or age had a significant impact on individual assessment recommendations. Further, demographic similarity had little effect on overall recommendations in both ACs and individual assessments. Implications and avenues for future research are discussed.
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Title: Linear Systems Analysis of Molecular Dynamics
Creator: Nicholson, Stanley Anselm
Date: 2023
Description: Most proteins reduce the complexity of atomic motion to stable and coherent structures. Molecular dynamics (MD) has provided swaths of...
Show moreMost proteins reduce the complexity of atomic motion to stable and coherent structures. Molecular dynamics (MD) has provided swaths of trajectory data of proteins. We analyze these trajectories using classical stochastic signal analysis, well established and utilized by engineers. Linear systems analysis operates to uncover linearities given an input and output signal. The coherence function says an input and output are linearly related if and only if the coherence equals one. Analyzing protein motion in the frequency domain allows us to extract a frequency function relating the modes of motion as determined by atomic power spectra. Motivated by biochemistry, we analyze classical interactions like hydrogen bonds and salt bridges and find they act like a linear system, or effective spring. We test our analysis on two protein systems: crambin and the Mu Opioid Receptor (MOR). We extend our results to all pairwise interaction and determine coherent communities of atoms within the MOR. We present various community detection algorithms and demonstrate their validity using common metrics in MD. Identifying rigid and tightly correlated regions of the protein offers great potential in coarse graining protein structure and understanding protein motion.
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Title: Correlating Microstructural Properties to Macroscopic Shear Mechanics to Improve the Understanding of Tissue Biomechanics
Creator: Cahoon, Stacey Marie
Date: 2023
Description: Understanding tissue biomechanics is of interest for modeling organ injury from external loads, development of tissue surrogate materials, and...
Show moreUnderstanding tissue biomechanics is of interest for modeling organ injury from external loads, development of tissue surrogate materials, and creating new biomarkers for disease. Probing the response of soft tissue in shear can provide information on histopathology, provided a methodology exists that connects the macroscopic mechanical properties with cell-level properties. Two of the available methods to measure the macroscopic shear viscoelastic properties of soft tissue are oscillatory shear rheometry and ultrasound shear wave elastography (SWE). Due to its accuracy, rheometry is the gold standard, but it is destructive, requires excised homogeneous samples, and can only be applied ex-vivo. SWE is an emerging non-invasive imaging technique which requires validation, ostensibly by comparing with rheometry. Histology is the gold standard for providing morphological information on the cell level, which can determine tissue pathology. The challenge is to connect the macroscopic mechanical metrics derived from SWE and rheometry to the tissue microstructure. To address this challenge, mathematical models can be used that employ multiple, judiciously chosen measurements of macroscopic shear properties and histology to estimate intrinsic mechanical properties at the cell level.A class of homogeneous and composite lipid phantoms mimicking the mechanical properties of brain white matter were fabricated to test a novel stereotactic system and an optimized SWE imaging protocol. The shear stiffness measurements obtained with SWE on the whole phantom were validated with rheometry performed on a series of samples made with the same material as the phantoms. The same procedure was applied to porcine brain white matter excised from fresh whole brains (n=3). Cylindrical cores were extracted from the corpus callosum area, sliced into discs and microscopic sections were subsequently removed for histology. Good agreement was found between the SWE and rheometry measurements of shear stiffness, which generally increases with the level of compressive prestress. Immunofluorescence was used to stain separately the axon neurofilaments and myelin sheaths, and digital image analysis of the confocal microscopy images allowed the estimation of axon volume fraction and axon-to-myelin ratio in the corpus callosum. Using these metrics and a composite mechanical model, a connection between the macroscopic shear measurements and the viscoelastic properties of axon and glia matrix was made for porcine brain tissue. Similarly, rheometry was used to measure the macroscopic properties of decellularized porcine myocardium extracellular matrix (ECM) in two different fiber locations, and for three different fiber orientations. The mechanical properties were found to be dependent upon fiber location, but not on fiber orientation. Since collagen is a primary supportive structure for the ECM, several microscopic slices were probed with immunofluorescence to compute the collagen I and collagen IV volume fractions. Another mechanical model was employed to establish a connection between the macroscopic properties and the mechanical properties of the collagen matrix in decellularized porcine myocardial ECM.This dissertation highlights the use and integration of three different experimental techniques (rheometry, ultrasound SWE, and histology) to correlate key microstructural properties of soft, fibrous tissues (ex-vivo healthy porcine brain white matter and myocardium ECM) with macroscopic shear mechanics. The consideration of the effect of compressive prestress is noteworthy. The reported baseline data for the tissues under shear loading and prestress are pertinent to the physiological function of these tissues, and therefore constitute preliminary data and a necessary first step before a systematic study of the biomechanics of the same tissues in vivo is performed.
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Title: PREDICTING COMMENT QUALITY ON NEWS WEBSITES: LINGUISTIC INDICATORS AND VIEWS FROM JOURNALISM PROFESSIONALS
Creator: Scott, Edward Blake
Date: 2014, 2014-07
Description: As the web has become more interactive in recent years, with website users having the ability to generate their own content, there has been...
Show moreAs the web has become more interactive in recent years, with website users having the ability to generate their own content, there has been increased tension between the content generated by users and the content generated by “professionals,” especially professional journalists and publishers. Many journalism professionals see the value of allowing users to comment on their work; for example, an interactive site that allows user commenting may increase users’ loyalty to the site, meaning they will return often, generate page views, and increase advertising revenue. Users can also serve to further explore an issue discussed in an article by broadening the discussion to include the viewpoints of those who aren’t professional journalists. However, publishers of news site comments have noted many problems with introducing user-generated content (UGC) to their sites, including the fact that users sometimes post inflammatory, insensitive, or lowquality comments that do not serve to improve the experience of the average reader. The problems caused by these kinds of comments have increased the amount of time and money required to moderate the comments section. Beyond inflammatory comments, however, is the problem of highlighting very good or high-quality comments. What is the degree to which those high-quality comments can be discovered through an automated process? This dissertation sought to test the extent to which comments to news sites can be automatically evaluated for quality by using a text-analysis system. Journalists were interviewed to get their views on user comments in general and comment quality in particular. The data from these interviews was used to generate hypotheses about which linguistic metrics provided by Coh-Metrix, a web-based text-analysis system, might be xiii most indicative of comment quality as described by journalists. Finally, a content analysis and close reading of a sample of news site comments was conducted in order to describe news site comments as a writing genre. Results from the interviews indicated that comment length, comment syntax, comment cohesion, comment narrativity, and comment individuality were all indicative of comment quality. However, statistical analyses on a sample of 246 comments failed to produce significant results for linguistic metrics hypothesized to be indicative of quality. Alternatively, an “positive engagement score” scale was created and used to identify how “engaging” comments were; this scale showed to have a significant, though minor, positive relationship with the number of recommendations a comment received from readers. Finally, the genre analysis of the sample of news site comments revealed that comments in the sample share a communicative purpose of providing additional content related to the article under discussion, providing a practical value for journalists and other professionals by offering tips and fact-checking functions, and providing a space where readers can debate the article in question and begin to develop a sense of community.
Ph.D. in Technical Communication, July 2014
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Title: SHIP STATE AND COVARIANCE PROPAGATION USING TIME SERIES ANALYSIS AND FORECASTING
Creator: Katre, Aniruddha
Date: 2014, 2014-05
Description: The Navy's Unmanned Combat Aerial System (N-UCAS) program is currently developing technology for autonomous shipboard landing of unmanned...
Show moreThe Navy's Unmanned Combat Aerial System (N-UCAS) program is currently developing technology for autonomous shipboard landing of unmanned aerial vehicles (UAVs). A high accuracy and high integrity relative navigation algorithm using carrier phase di erential GPS measurements and high rate inertial sensor data has been implemented to land the UAV. Such an algorithm requires ship state information to be broadcast to the aircraft via a VHF data link. The data link is susceptible to failure for reasons such as interference from jamming. This thesis considers the problem of precise ship state propagation on board an aircraft during a data link outage occuring when it is too late for the aircraft to abort its landing approach. Accurately quantifying the estimate error covariance is important for a high integrity and accuracy navigation algorithm. Therefore this thesis focuses on algorithms that can propagate the ship state as well as determine the propagation error covariance. Initially, a simple state propagation using kinematic equations for linear motion is tested. Seakeeping and Maneuvering theories used to model the dynamics of a sea vessel are also considered. However, analysis shows that due to constraints imposed by a data link outage and complexity in accurately modeling some parameters in the ship dynamic model, these two approaches are infeasible. As an alternative to kinematic and dynamic modeling, Time Series Analysis and Forecasting methods for ship state propagation are investigated. This work introduces parametric modeling and forecasting of a time series using linear stochastic models. Maximum likelihood estimate (MLE) and outer product of gradients (OPG) algorithms are implemented for faithful parameterization of time series using ARIMA models. Expressions for forecasting and forecast error variance quanti cation are also developed. These algorithms are then tested using ship data provided by the N-UCAS program.
M.S. in Mechanical and Aerospace Engineering, May 2014
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Title: THE EFFECT OF MOOD INDUCTION ON ADOLESCENT SPEECH BEHAVIOR
Date: 2010-12,
Description: An experiment was conducted to determine if a sad mood induction procedure using music and self-imagery would produce sad speech in...
Show moreAn experiment was conducted to determine if a sad mood induction procedure using music and self-imagery would produce sad speech in adolescents. The participants were asked to rate their perceived positive and negative affect and they were recorded. reading speech materials. Results indicate that although participants perceived a change in mood from neutral to sad, none of the baseline acoustic correlates of sad speech were identified in their recordings. These results suggest that either participants were not induced into a sad mood by this procedure or that the method of self-reporting is an inadequate assessment for this age group, signaling that more effective ways to measure mood for adolescents should be investigated. Additionally, since most studies on sad speech use actors, the results may indicate that acted speech provides significantly different correlates from emotionally-induced speech. Finally, a similarly valenced mood may have been induced instead of sadness (e.g. "calmness") which possesses different acoustic correlates from sad speech. Whilst the findings suggest that there is need for further research on these issues, this experiment demonstrates that mood inducement procedures (MIPs), primarily used in the field of psychology, can be applied in other domains. For example, MIPs conducted in online environments could provide useful insights into how mood affects users' online behaviors.
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Title: The Voderettes: Gender, Labor, and Techno-Utopia at the 1939 New York World's Fair
Creator: Simon, Sara M. B.
Date: 2024
Description: This thesis explores the labor demands of the Voder, the electrical speech synthesis machine developed by Bell Labs to be a major component of...
Show moreThis thesis explores the labor demands of the Voder, the electrical speech synthesis machine developed by Bell Labs to be a major component of AT&T's 1939 New York World's Fair exhibit. With the United States emerging from the Great Depression, and with political tensions escalating across the globe, the paper situates the Voder's labor demands within the historical context of the fair. Specifically, I explore the decision to have young women operate the Voder, the intricacies of the machine cloaked by the warm presence of its highly-skilled female operator. Using archival records from Bell Labs engineers, the paper exposes the previously unacknowledged engineering contributions of Voder operators in the years before the fair. These young women not only influenced major decisions about the Voder's mechanics but also gave early credence to the notion that developing a performance with the machine could make for a thrilling fair exhibit. Moreover, the paper argues that at the fair itself, AT&T and Bell Labs executives used the Voder operators to normalize a new vision of a technological utopia that relied heavily and conspicuously on the infrastructural labor of women. Given the Voder's legacy, as a tool that laid critical groundwork for voice encryption technology, the paper adds important context to the historical record, highlighting the young women at the heart of the machine.
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Title: The Voderettes: Gender, Labor, and Techno-Utopia at the 1939 New York World's Fair
Creator: Simon, Sara M. B.
Date: 2024
Description: This thesis explores the labor demands of the Voder, the electrical speech synthesis machine developed by Bell Labs to be a major component of...
Show moreThis thesis explores the labor demands of the Voder, the electrical speech synthesis machine developed by Bell Labs to be a major component of AT&T's 1939 New York World's Fair exhibit. With the United States emerging from the Great Depression, and with political tensions escalating across the globe, the paper situates the Voder's labor demands within the historical context of the fair. Specifically, I explore the decision to have young women operate the Voder, the intricacies of the machine cloaked by the warm presence of its highly-skilled female operator. Using archival records from Bell Labs engineers, the paper exposes the previously unacknowledged engineering contributions of Voder operators in the years before the fair. These young women not only influenced major decisions about the Voder's mechanics but also gave early credence to the notion that developing a performance with the machine could make for a thrilling fair exhibit. Moreover, the paper argues that at the fair itself, AT&T and Bell Labs executives used the Voder operators to normalize a new vision of a technological utopia that relied heavily and conspicuously on the infrastructural labor of women. Given the Voder's legacy, as a tool that laid critical groundwork for voice encryption technology, the paper adds important context to the historical record, highlighting the young women at the heart of the machine.
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Title: INFORMATION VISUALIZATION TECHNIQUES FOR ONLINE IDENTITY PRESENTATION: A MULTIDIMENSIONAL APPROACH
Creator: Mahmud, Athir
Date: 2016, 2016-07
Description: Information visualization offers a unique method to assist users in understanding large quantities of data, such as that which is found in...
Show moreInformation visualization offers a unique method to assist users in understanding large quantities of data, such as that which is found in social media. The recent surge in the use of social media platforms, the abundance of data generated, and the implications about what this data means has made it increasingly necessary to provide feedback to these users about what they and others are presenting online. Thus, it is critical for these individuals to access this information and gain some level of visual understanding regarding their own identities or that of a particular group. This dissertation is organized in the format of a three-paper dissertation. Chapter 1 is the introduction for the subsequent three chapters and provides background on information visualization and identity presentation in social media, while exploring theoretical approaches to visual perception and design. Chapter 2 demonstrates a variety of past and current multidimensional information visualization techniques that are relevant to social media data, as related to online identity presentation. The overview includes data portraits, motion-based visualization, music visualization, and textual structures. Chapter 3 introduces CarrinaCongress, an information visualization dashboard that affords users with the ability to compare two members of Congress in order to better understanding the elected officials’ tweets and external information. Chapter 4 presents HadithViz, a motion-based information visualization dashboard that borrows from video game interfaces and focuses on event-based tweets, as defined by hashtags related to sexism in the video gaming industry. Finally, Chapter 5 is the conclusion to this dissertation and will summarize the three individual studies, discuss limitations and implications, and provide recommendations that future work consist of simple, accessible visualizations that are based on existing visual languages and can be interpreted by a wide-ranging audience.
Ph.D. in Technical Communication, July 2016
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Title: The Voderettes: Gender, Labor, and Techno-Utopia at the 1939 New York World's Fair
Creator: Simon, Sara M. B.
Date: 2024
Description: This thesis explores the labor demands of the Voder, the electrical speech synthesis machine developed by Bell Labs to be a major component of...
Show moreThis thesis explores the labor demands of the Voder, the electrical speech synthesis machine developed by Bell Labs to be a major component of AT&T's 1939 New York World's Fair exhibit. With the United States emerging from the Great Depression, and with political tensions escalating across the globe, the paper situates the Voder's labor demands within the historical context of the fair. Specifically, I explore the decision to have young women operate the Voder, the intricacies of the machine cloaked by the warm presence of its highly-skilled female operator. Using archival records from Bell Labs engineers, the paper exposes the previously unacknowledged engineering contributions of Voder operators in the years before the fair. These young women not only influenced major decisions about the Voder's mechanics but also gave early credence to the notion that developing a performance with the machine could make for a thrilling fair exhibit. Moreover, the paper argues that at the fair itself, AT&T and Bell Labs executives used the Voder operators to normalize a new vision of a technological utopia that relied heavily and conspicuously on the infrastructural labor of women. Given the Voder's legacy, as a tool that laid critical groundwork for voice encryption technology, the paper adds important context to the historical record, highlighting the young women at the heart of the machine.
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Title: Automating Academic Audit (Fall 1999) IPRO???: Automating_Academic_Audit_IPRO%3F%3F%3F_Fall1999_Final_Presentation
Creator: Landsbaum, Mike, Leow, Jack, Montour, Nicholas, Semaszczuk, Matt, Sirotin, Mike, Sonawala, Pratik, Yarbrough, Sean
Date: 1999, 1999-12
Description: The objective of this IPRO is to improve the academic audit process for educational services, faculty and students.
Sponsorship: IIT Internal R&D
...
Show moreThe objective of this IPRO is to improve the academic audit process for educational services, faculty and students.
Sponsorship: IIT Internal R&D
Project Plan for IPRO : Automating Academic Audit for the Fall 1999 semester
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Title: SPEECH INTELLIGIBILITY AND ACCENTS IN SPEECH-MEDIATED INTERFACES: RESULTS AND RECOMMENDATIONS
Creator: Lawrence, Halcyon M.
Date: 2013, 2013-07
Description: There continues to be significant growth in the development and use of speech–mediated devices and technology products; however, there is no...
Show moreThere continues to be significant growth in the development and use of speech–mediated devices and technology products; however, there is no evidence that non-native English speech is used in these devices, despite the fact that English is now spoken by more non-native speakers than native speakers, worldwide. This relative absence of non-native English speech in devices may be due in part to the costs associated with localizing speech devices, but it may also be attributable to the fact that not enough is known about user performance with accented speech in speech–mediated environments. In the absence of targeted research, developers may be relying on existing studies which focus on perception (impression) of accented speech, as a basis of decision-making. However, perception paints only part of the picture when it comes to understanding how and why people perform in certain ways and in certain environments. Three studies were conducted to answer the following questions: (1) What are the acoustic-phonetic characteristics of negatively- and positively-perceived accented speech? And how are these characteristics related to markers of intelligible speech? (2) How do participants perform on different types of accented-speech tasks? (3) What is the relationship between user perception of accented speech and user performance in response to accented speech? and; (4) How do participants perform on accented speech tasks of varying complexity? Arising out of this research, there are six recommendations for the use of accented speech in speech-mediated devices. Also, the findings of this study raise questions about inherent linguistic stereotypes which impact both our perceptions and our choices about xvi the accents we want to hear on our speech devices. A discussion about if and how these stereotypes can be altered and measured are included. Future research should examine the role of experienced non-native talkers in speech devices. Results of study one demonstrated that some experienced non-native talkers were positively-perceived by raters and may be good candidates for talkers in speech devices. A study like this would explicitly establish if listeners consistently make native vs. non-native distinctions in their preferences or if a prestige continuum emerges.
PH.D in Technical Communication, July 2013
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Title: Particle production at large momentum transfer
Creator: Gonçalves, V.p., Sauter, Werner K.
Date: 2013-09-15, 2013-09-15
Publisher: IIT Press
Description: Diffractive particle production in ep collisions and coherent pp interactions is studied assuming that the color singlet t channel exchange...
Show moreDiffractive particle production in ep collisions and coherent pp interactions is studied assuming that the color singlet t channel exchange carries large momentum transfer. The differential and total cross sections for vector meson and photon production are calculated using the non-forward solution of the LO and NLO BFKL equation at high energy and large momentum transfer and the predictions are compared with the DESY HERA data. Moreover, we estimate the rapidity distributions and total cross section for the J/Ψ and ρ production in coherent pp interactions at LHC energies. We predict large rates, which implies that the experimental identification can be feasible at the LHC.
Sponsorship: IIT College of Science, High Energy Physics Division of Argonne National Laboratory
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Collection: Proceedings of the XLIII International Symposium on Multiparticle Dynamics

Title: Color reconnection and its effects on precise measurements at the LHC
Creator: Sjöstrand, Torbjörn
Date: 2013-09-15, 2013-09-15
Publisher: IIT Press
Description: There is experimental evidence for the occurrence of color reconnection, but the mechanisms involved are far from understood. Previous...
Show moreThere is experimental evidence for the occurrence of color reconnection, but the mechanisms involved are far from understood. Previous reconnection studies are briefly summarized, and some potential implications for LHC physics are outlined.
Sponsorship: IIT College of Science, High Energy Physics Division of Argonne National Laboratory
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Collection: Proceedings of the XLIII International Symposium on Multiparticle Dynamics

Title: Parton distributions and event generators
Creator: Carrazza, Stefano, Forte, Stefano, Rojo, Juan
Date: 2013-09-15, 2013-09-15
Publisher: IIT Press
Description: We present the implementation within the Pythia8 event generator of a set of parton distributions based on NNPDF methodology. We construct a...
Show moreWe present the implementation within the Pythia8 event generator of a set of parton distributions based on NNPDF methodology. We construct a set of leading-order parton distributions with QED corrections, NNPDF2.3QED LO set, based on the same data as the previous NNPDF2.3 NLO and NNLO PDF sets. We compare this PDF set to its higher-order counterparts, we discuss its implementation as an internal set in Pythia8, and we use it to study some of the phenomenological implications of photon-initiated contributions for dilepton production at hadron colliders.
Sponsorship: IIT College of Science, High Energy Physics Division of Argonne National Laboratory
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Collection: Proceedings of the XLIII International Symposium on Multiparticle Dynamics

Title: Inclusive measurements at HERA from low to high x
Creator: Behnke, Olaf
Date: 2013-09-15, 2013-09-15
Publisher: IIT Press
Description: New inclusive Deep Inelastic Scattering (DIS) measurements are presented, obtained with the H1 and ZEUS detectors at HERA. The results...
Show moreNew inclusive Deep Inelastic Scattering (DIS) measurements are presented, obtained with the H1 and ZEUS detectors at HERA. The results comprise (flavour) inclusive DIS cross sections as well as inclusive charm production. In the area of inclusive DIS, both H1 and ZEUS completed last year their high Q2 Neutral and Charged current measurements exploiting the large statistics from the HERA II running period. For inclusive charm production, H1 and ZEUS published a combination of numerous existing measurements based on various tagging methods. Among other things a precise determination of the running charm quark mass mc(mc) was obtained from the combined data.
Sponsorship: IIT College of Science, High Energy Physics Division of Argonne National Laboratory
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Collection: Proceedings of the XLIII International Symposium on Multiparticle Dynamics

Title: Polarised Drell-Yan physics at COMPASS
Creator: Franco, Celso
Date: 2013-09-15, 2013-09-15
Publisher: IIT Press
Description: The COMPASS experiment at CERN is one of the leading experiments studying the spin structure of the nucleon. Until now, the Parton...
Show moreThe COMPASS experiment at CERN is one of the leading experiments studying the spin structure of the nucleon. Until now, the Parton Distribution Functions (PDFs) and the Transverse Momentum Dependent Parton Distribution Functions (TMD PDFs) of protons and deuterons have been studied in Semi-Inclusive Deep Inelastic Scattering (SIDIS) measurements. The polarised Drell-Yan (DY) process is a complementary way to access the TMD PDFs, as it allows us to measure convolutions of only PDFs without involving fragmentation functions (FFs). COMPASS aims to perform the first ever polarised DY experiment in the world, which is foreseen to start in late 2014. By detecting dimuons from DY events we will be able to extract azimuthal spin asymmetries, each containing a convolution of two TMD PDFs, one from a negative pion beam with a momentum of 190 GeV/c and the other one from a transversely polarised proton target (NH₃). After their disentangling we can access four of the eight TMD PDFs needed to describe the nucleon structure at leading twist, like the Sivers and the Boer-Mulders functions. The opportunity to study, in the same experiment, the TMD PDFs from both SIDIS and DY processes is unique at COMPASS. Therefore, we are in privileged conditions to confirm or to deny the expected sign change in Sivers and Boer-Mulders functions when accessed via DY or SIDIS processes. An overview of the preparation and future measurements of the polarised DY experiment will be provided.
Sponsorship: IIT College of Science, High Energy Physics Division of Argonne National Laboratory
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Collection: Proceedings of the XLIII International Symposium on Multiparticle Dynamics

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