Embedded newform data - 112.10.f.b.111.9

Formats: - HTML - YAML - JSON - 2025-09-22T13:43:57.213493

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 11200, 'analytic_conductor': 57.68401365035379, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 28, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [112, 2, [15, 85, 17], [1, 2, 1]], 'cm_discs': [], 'conrey_index': 111, 'dim': 24, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [13524241993722692755329024, 0, -9957237037762047750144, 0, 2360458863124289280, 0, -212683279947264, 0, 8629513072, 0, -157040, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503943392526448, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, 0], [1, 1, 7, 2, -1, 2, 0], [1, 1, 28, 4, 1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '112.10.f.b', 'level': 112, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7], 'level_radical': 14, 'minimal_twist': '112.10.f.b', 'prim_orbit_index': 4, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '9.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '112.10.f', 'trace_display': [0, 0, 0, 0], 'traces': [24, 0, 0, 0, 0, 0, 0, 0, 155768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 220672, 0, 0, 0, -9187656, 0, 0, 0, 14881104, 0, 0, 0, 0, 0, 0, 0, 2829456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -214802472, 0, 0, 0, 327087120, 0, 0, 0, 238245440, 0, 0, 0, 0, 0, 0, 0, -495797952, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 347010000, 0, 0, 0, 1816013720, 0, 0, 0, -1291803264, 0, 0, 0, 0, 0, 0, 0, 288442240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -961411008, 0, 0, 0, -1359368112, 0, 0, 0, 7743888624, 0, 0, 0, 0, 0, 0, 0, 2389327080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3104110464, 0, 0, 0, -29161090704, 0, 0, 0, -7687454592, 0, 0, 0, 0, 0, 0, 0, 25484833680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24234111600, 0, 0, 0, 14218788864, 0, 0, 0, -16631792520, 0, 0, 0, 0, 0, 0, 0, -64606436160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -114712600448, 0, 0, 0, 69076208880, 0, 0, 0, 25047643536, 0, 0, 0, 0, 0, 0, 0, 36943786368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32851994496, 0, 0, 0, -82050896256, 0, 0, 0, 336703796248, 0, 0, 0, 0, 0, 0, 0, -172072116624, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -203456199168, 0, 0, 0, -325186257984, 0, 0, 0, -100748994144, 0, 0, 0, 0, 0, 0, 0, 742766344080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 786789696, 0, 0, 0, 11254964880, 0, 0, 0, 761235523440, 0, 0, 0, 0, 0, 0, 0, -553888370280, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -206262353328, 0, 0, 0, -1004687760192, 0, 0, 0, 145649375872, 0, 0, 0, 0, 0, 0, 0, 962557754064, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -323746697856, 0, 0, 0, -1501510048816, 0, 0, 0, 2514406090224, 0, 0, 0, 0, 0, 0, 0, 839995762944, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3697322938752, 0, 0, 0, -1987785705480, 0, 0, 0, 3705691464960, 0, 0, 0, 0, 0, 0, 0, -464824853616, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2471665350528, 0, 0, 0, -944260961136, 0, 0, 0, 4882599562944, 0, 0, 0, 0, 0, 0, 0, -1236283194768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2199903122304, 0, 0, 0, -3750166293824, 0, 0, 0, 7648420650000, 0, 0, 0, 0, 0, 0, 0, 3608553447168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6227016665032, 0, 0, 0, -11196953422848, 0, 0, 0, 6701012930736, 0, 0, 0, 0, 0, 0, 0, 8481751837104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4423081676016, 0, 0, 0, -11881500381984, 0, 0, 0, 20942687068752, 0, 0, 0, 0, 0, 0, 0, 1868694345600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13132677571920, 0, 0, 0, -19076634411648, 0, 0, 0, 23219942579136, 0, 0, 0, 0, 0, 0, 0, 14197097206016, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16333700980096, 0, 0, 0, -15419155183608, 0, 0, 0, 30934970749824, 0, 0, 0, 0, 0, 0, 0, -5076674332848, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -25544812387344, 0, 0, 0, -18818865996720, 0, 0, 0, 38265824522496, 0, 0, 0, 0, 0, 0, 0, 17024833090608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13100958677760, 0, 0, 0, -41952897608256, 0, 0, 0, 43313496625536, 0, 0, 0, 0, 0, 0, 0, -2046893767552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -34030676076288, 0, 0, 0, -17697646435056, 0, 0, 0, 42847438004016, 0, 0, 0, 0, 0, 0, 0, 17236977886104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -46534965835008, 0, 0, 0, -32266856658960, 0, 0, 0, 85061466878208, 0, 0, 0, 0, 0, 0, 0, 18728598396624, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -38064922814016, 0, 0, 0, -74965786153984, 0, 0, 0, 50389808078640, 0, 0, 0, 0, 0, 0, 0, 4316059914816, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -49344962539632, 0, 0, 0, -69274483162368, 0, 0, 0, 101101112730960, 0, 0, 0, 0, 0, 0, 0, 44811863418768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4274015014656, 0, 0, 0, -77874077503728, 0, 0, 0, 144536979073400, 0, 0, 0, 0, 0, 0, 0, 52983189068640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -68051246202672, 0, 0, 0, -85879939968960, 0, 0, 0, -11929214580336, 0, 0, 0, 0, 0, 0, 0, 53350179717504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -43570469176064, 0, 0, 0, -2850247504224, 0, 0, 0, 44929115798592, 0, 0, 0, 0, 0, 0, 0, -35008544910144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -27521581394304, 0, 0, 0, -31240058230608, 0, 0, 0, 106776140555776, 0, 0, 0, 0, 0, 0, 0, -22185832770672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5909856993024, 0, 0, 0, 75710879313664, 0, 0, 0, 151310724687528, 0, 0, 0, 0, 0, 0, 0, -73847014892992, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -116616579772032, 0, 0, 0, -94378421859264, 0, 0, 0, -24353166624480, 0, 0, 0, 0, 0, 0, 0, 48627471676752, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -23303821611984, 0, 0, 0, 29236879314048, 0, 0, 0, -80994689624064, 0, 0, 0, 0, 0, 0, 0, 101725233585984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8964728914176, 0, 0, 0, -125600569334848, 0, 0, 0, 6693570447696, 0, 0, 0, 0, 0, 0, 0, -42040844302080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 226415174820864, 0, 0, 0, 140504556790272, 0, 0, 0, -64524165160848, 0, 0, 0, 0, 0, 0, 0, -29592289496808, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9214158900096, 0, 0, 0, 185700593969712, 0, 0, 0, -353008611489392, 0, 0, 0, 0, 0, 0, 0, -218256038363232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 10, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [-0.45759101567761196, 0.0], [0.0, 0.0], [0.0, 0.20593902907126194], [0.0, 0.0], [0.9993678346055752, -0.0355518094583631], [0.0, 0.0], [-0.7906104623711315, 0.0], [0.0, 0.0], [0.0, -0.7018171643867943], [0.0, 0.0], [0.0, 0.6711164474257473], [0.0, 0.0], [0.0, -0.09423584948038001], [0.0, 0.0], [0.0, -0.7177678966785505], [0.0, 0.0], [-0.46917100092317876, 0.0], [0.0, 0.0], [-0.4573017424727009, 0.0162681885992293], [0.0, 0.0], [0.0, 1.4955770030007534], [0.0, 0.0], [0.957589116305186, 0.0], [0.0, 0.0], [0.8193672601593645, 0.0], [0.0, 0.0], [0.39796047174090654, 0.0], [0.0, 0.0], [-0.8467392116327551, 0.0], [0.0, 0.0], [0.0, 0.32114522907173476], [0.0, 0.0], [0.0073215051215818035, 0.20580884154372164], [0.0, 0.0], [-0.4150457071453946, 0.0], [0.0, 0.0], [0.0, -0.30709685681549836], [0.0, 0.0], [0.0, -1.2013072895521788], [0.0, 0.0], [0.0, -0.23564523211273655], [0.0, 0.0], [0.0, -0.1628175509942923], [0.0, 0.0], [-0.4815662387039861, 0.0], [0.0, 0.0], [0.9974721376884725, -0.07105866966942867], [0.0, 0.0], [0.0, 0.3284441408619212], [0.0, 0.0], [-1.2766340126401394, 0.0], [0.0, 0.0], [0.14453154541936267, 0.0], [0.0, 0.0], [0.21468843483891917, 0.0], [0.0, 0.0], [-0.58275193668069, 0.0], [0.0, 0.0], [0.0, -1.4281586855729635], [0.0, 0.0], [-0.7901106657963503, 0.028107632514006813], [0.0, 0.0], [-0.138209069576613, 0.0], [0.0, 0.0], [0.0, -0.9644435515441525], [0.0, 0.0], [0.0, -0.6843625998271937], [0.0, 0.0], [0.0, -0.6694447324187094], [0.0, 0.0], [0.0, -1.3763885805213156], [0.0, 0.0], [-0.4381841763319169, 0.0], [0.0, 0.0], [-0.024950870102888004, -0.7013734998622556], [0.0, 0.0], [0.0, 1.2006769765923075], [0.0, 0.0], [0.4156753655818258, 0.0], [0.0, 0.0], [-1.4581577869121851, 0.0], [0.0, 0.0], [0.14781642374050255, 0.0], [0.0, 0.0], [-0.18210313646346304, 0.0], [0.0, 0.0], [0.0, -1.006319439750665], [0.0, 0.0], [0.023859404063253722, 0.6706921908320553], [0.0, 0.0], [0.38746025586509286, 0.0], [0.0, 0.0], [0.0, -0.09662062039851158], [0.0, 0.0], [0.0, -1.226206284197758], [0.0, 0.0], [0.0, 0.5548639928358399], [0.0, 0.0], [0.0, -1.4174679104927697], [0.0, 0.0], [-1.3862639741381853, 0.0], [0.0, 0.0], [-0.0033502549648734554, -0.09417627683742429], [0.0, 0.0], [0.0, -1.3233891550028896], [0.0, 0.0], [-0.4415897752880652, 0.0], [0.0, 0.0], [0.1899211866852938, 0.0], [0.0, 0.0], [-0.5174125635893208, 0.0], [0.0, 0.0], [-0.30799767589928295, 0.0], [0.0, 0.0], [0.0, -0.5305916848041412], [0.0, 0.0], [-0.025517947498045878, -0.7173141486530412], [0.0, 0.0], [0.5074526677720793, 0.0], [0.0, 0.0], [0.0, 0.5497074227671006], [0.0, 0.0], [0.0, 0.40314400193235966], [0.0, 0.0], [0.0, 0.0035570950919433303], [0.0, 0.0], [0.0, 0.10782914110205374], [0.0, 0.0], [0.0019170463837390643, 0.0], [0.0, 0.0], [-0.46887440725232743, 0.016679878028210346], [0.0, 0.0], [0.0, 0.1687396980099996], [0.0, 0.0], [0.8816586200512757, 0.0], [0.0, 0.0], [0.5651126734236912, 0.0], [0.0, 0.0], [0.22036038428460433, 0.0], [0.0, 0.0], [0.47100104210567706, 0.0], [0.0, 0.0], [0.0, 0.08195559315906367], [0.0, 0.0], [-0.45643428859498697, 0.032515808826733786], [0.0, 0.0], [-1.1226833772392928, 0.0], [0.0, 0.0], [0.0, 0.13560590189949143], [0.0, 0.0], [0.0, 0.5674748086681833], [0.0, 0.0], [0.0, -0.1743766511202154], [0.0, 0.0], [0.0, 0.997475397660169], [0.0, 0.0], [0.5841762544925867, 0.0], [0.0, 0.0], [0.05317046864099252, 1.4946315509747587], [0.0, 0.0], [0.0, 0.228987064608038], [0.0, 0.0], [-0.06613633666590106, 0.0], [0.0, 0.0], [0.7504273410494174, 0.0], [0.0, 0.0], [0.5496027139946442, 0.0], [0.0, 0.0], [0.3709315019710009, 0.0], [0.0, 0.0], [0.0, 0.2295543345594262], [0.0, 0.0], [0.95698376160378, -0.03404402580228427], [0.0, 0.0], [0.26666205059381237, 0.0], [0.0, 0.0], [0.0, 0.19436746622200457], [0.0, 0.0], [0.0, 1.6828052890051246], [0.0, 0.0], [0.0, 0.6535125834801356], [0.0, 0.0], [0.0, -0.0854741099497179], [0.0, 0.0], [-0.5037418299348139, 0.0], [0.0, 0.0], [0.818849284532167, 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[0.35242559001458346, 0.0], [0.0, 0.0], [0.0, 1.8337952703411808], [0.0, 0.0], [0.0, -0.0053354805417664825], [0.0, 0.0], [0.0, 0.06424802313094864], [0.0, 0.0], [0.0, 1.2844764511542763], [0.0, 0.0], [-0.34007486390462793, 0.0], [0.0, 0.0]], 'angles': [None, -0.2867393573188437, 0.01641720603254546, None, -0.4429363940935091, 0.0544624633534855, -0.4415786908755105, -0.28768664086773327, 0.13444214580942487, -0.2181185212694033, -0.31957641204023546, -0.2832700680788157, -0.3974535392718107, -0.4812042884262416, -0.2887021258271298, -0.3601845474251618, -0.2970565311300422, -0.3734227814210791, -0.41991497081751555, -0.4456787331489102, -0.3792018313293927, 0.10248373314647043, -0.38002563868840145, -0.4160853708604992, -0.3949604995860164, -0.3746333344699481, -0.3718848527979952, -0.3849187797045184, -0.2854325690238478, -0.29164808702347705, 0.00028306478269871777, -0.2498474462725855, -0.17734220457278732, -0.20440879363368494, -0.3448573203396788, 0.010799460222230564, 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0.06086942929196707, -0.4600806050981364, 0.15185449268461737, -0.41820650308795176, -0.06612155655639186, -0.3899923928157526, -0.4481842766508283, -0.40262465322251356, -0.3236743194056781, -0.3598117495100246, -0.2988900152590122, -0.13174156931536987, -0.14406364979232752, -0.44588366581756506, 0.009297328859732373, 0.03256912684608372, -0.40660363693522433, 0.05648790891782305, 0.009655015493296351, -0.10797067306672134, 0.0318032841370298, -0.3581432275344794, -0.4089744448952768, 0.0647588782785166, -0.23921466134920535, -0.4079139424671082, -0.39760670113862756, 0.05359205681906698, 0.05636319448896672, 0.13538716392901937, -0.497949351032102, -0.4321521998415451, -0.280129867976531, -0.45767368203976044, -0.3498173633334923, -0.333981348030193, -0.26265891301275135, 0.18465741729281782, 0.11099700427056614], 'char_orbit_index': 6, 'conrey_index': 111, 'dual_conrey_index': 111, 'dual_embedding_index': 10, 'dual_embedding_m': 10, 'embedding_index': 9, 'embedding_m': 9, 'hecke_orbit': 2, 'hecke_orbit_code': 4503943392526448, 'label': '112.10.f.b.111.9', 'level': 112, 'weight': 10}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 11200, 'analytic_conductor': 57.68401365035379, 'char_conductor': 28, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [112, 2, [15, 85, 17], [1, 2, 1]], 'conrey_index': 111, 'cusp_dim': 138, 'dim': 36, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 343765155952, 'hecke_orbit_dims': [12, 24], 'label': '112.10.f', 'level': 112, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7], 'level_radical': 14, 'mf_dim': 150, 'mf_new_dim': 36, 'num_forms': 2, 'prim_orbit_index': 4, 'relative_dim': 36, 'sturm_bound': 160, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [36, 0, 0, 0, 0, 0, 0, 0, 236196, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -67728, 0, 0, 0, -11774844, 0, 0, 0, 11633496, 0, 0, 0, 0, 0, 0, 0, 19430712, 0, 0, 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-23802855622536, 0, 0, 0, 7460609877504, 0, 0, 0, -67762988593824, 0, 0, 0, 0, 0, 0, 0, 110746763404176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4363400126736, 0, 0, 0, -210904779402288, 0, 0, 0, 109389147878520, 0, 0, 0, 0, 0, 0, 0, -56387696877408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 195437255879328, 0, 0, 0, 188077077275808, 0, 0, 0, 80553395985960, 0, 0, 0, 0, 0, 0, 0, -18254298521436, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176379765528432, 0, 0, 0, 116092570185672, 0, 0, 0, -155828281435272, 0, 0, 0, 0, 0, 0, 0, -213496947163152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 10, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 35329338
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 111, 'source_dim': 24, 'source_embedding_index': 9, 'source_hecke_orbit_code': 4503943392526448, 'source_is_minimal': True, 'source_label': '112.10.f.b.111.9', 'source_level': 112, 'target_conrey_index': 111, 'target_dim': 24, 'target_embedding_index': 9, 'target_hecke_orbit_code': 4503943392526448, 'target_is_minimal': True, 'target_label': '112.10.f.b.111.9', 'target_level': 112, 'twist_class_label': '112.10.f.b.111.9', 'twist_class_level': 112, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 35329339
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 111, 'source_dim': 24, 'source_embedding_index': 9, 'source_hecke_orbit_code': 4503943392526448, 'source_is_minimal': True, 'source_label': '112.10.f.b.111.9', 'source_level': 112, 'target_conrey_index': 111, 'target_dim': 24, 'target_embedding_index': 15, 'target_hecke_orbit_code': 4503943392526448, 'target_is_minimal': True, 'target_label': '112.10.f.b.111.15', 'target_level': 112, 'twist_class_label': '112.10.f.b.111.9', 'twist_class_level': 112, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 35329340
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 111, 'source_dim': 24, 'source_embedding_index': 9, 'source_hecke_orbit_code': 4503943392526448, 'source_is_minimal': True, 'source_label': '112.10.f.b.111.9', 'source_level': 112, 'target_conrey_index': 111, 'target_dim': 24, 'target_embedding_index': 16, 'target_hecke_orbit_code': 4503943392526448, 'target_is_minimal': True, 'target_label': '112.10.f.b.111.16', 'target_level': 112, 'twist_class_label': '112.10.f.b.111.9', 'twist_class_level': 112, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 10}
  • id: 35329341
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 111, 'source_dim': 24, 'source_embedding_index': 9, 'source_hecke_orbit_code': 4503943392526448, 'source_is_minimal': True, 'source_label': '112.10.f.b.111.9', 'source_level': 112, 'target_conrey_index': 111, 'target_dim': 24, 'target_embedding_index': 10, 'target_hecke_orbit_code': 4503943392526448, 'target_is_minimal': True, 'target_label': '112.10.f.b.111.10', 'target_level': 112, 'twist_class_label': '112.10.f.b.111.9', 'twist_class_level': 112, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 10}
• hecke_orbit_code 4503943392526448 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 6, 'hecke_orbit': 2, 'label': '112.10.f.b', 'level': 112, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 22612387
    {'hecke_orbit_code': 4503943392526448, 'n': 1, 'trace_an': 24}
  • id: 22612388
    {'hecke_orbit_code': 4503943392526448, 'n': 2, 'trace_an': 0}
  • id: 22612389
    {'hecke_orbit_code': 4503943392526448, 'n': 3, 'trace_an': 0}
  • id: 22612390
    {'hecke_orbit_code': 4503943392526448, 'n': 4, 'trace_an': 0}
  • id: 22612391
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