Embedded newform data - 567.2.f.k.190.2

Formats: - HTML - YAML - JSON - 2026-04-16T21:09:11.504211

• 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': 2268, 'analytic_conductor': 4.527517794606598, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 9, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 3, 'char_parity': 1, 'char_values': [567, 3, [407, 325], [1, 3]], 'cm_discs': [], 'conrey_index': 190, 'dim': 4, 'field_disc': 144, 'field_disc_factorization': [[2, 4], [3, 2]], 'field_poly': [1, 0, -1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 12, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [9, 0, 3, 0, 1]], [5, [9, 0, 3, 0, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45036339904643639, 'hecke_ring_generator_nbound': 4, 'hecke_ring_index': 3, 'hecke_ring_index_factorization': [[3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 9, 3, 1, 3, 0], [1, 1, 9, 4, -1, 6, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '567.2.f.k', 'level': 567, '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': [3, 7], 'level_radical': 21, 'minimal_twist': '189.2.a.e', 'nf_label': '4.0.144.1', 'prim_orbit_index': 3, 'qexp_display': 'q-\\beta_{2} q^{2}+(\\beta_1-1)q^{4}+(-\\beta_{3}+\\beta_{2})q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '567.2.f', 'trace_display': [0, 0, 0, -2], 'trace_hash': 1129850391393147623, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.947', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.271', 'prec': 17}, {'__RealLiteral__': 0, 'data': '92.656', 'prec': 20}, {'__RealLiteral__': 0, 'data': '80.535', 'prec': 20}, {'__RealLiteral__': 0, 'data': '3306.328', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.509', 'prec': 17}, 'traces': [4, 0, 0, -2, 0, 0, -2, 0, 0, 12, 0, 0, -4, 0, 0, 10, 0, 0, 20, 0, 0, 6, 0, 0, 4, 0, 0, 4, 0, 0, -10, 0, 0, 24, 0, 0, -28, 0, 0, 6, 0, 0, 8, 0, 0, 12, 0, 0, -2, 0, 0, -4, 0, 0, -12, 0, 0, 36, 0, 0, -16, 0, 0, 4, 0, 0, -28, 0, 0, -6, 0, 0, -16, 0, 0, -10, 0, 0, -16, 0, 0, 36, 0, 0, 24, 0, 0, -6, 0, 0, 8, 0, 0, -24, 0, 0, 8, 0, 0, -8, 0, 0, -10, 0, 0, -48, 0, 0, -28, 0, 0, 10, 0, 0, -6, 0, 0, -48, 0, 0, 16, 0, 0, -10, 0, 0, -40, 0, 0, -12, 0, 0, -10, 0, 0, 48, 0, 0, -40, 0, 0, -18, 0, 0, -72, 0, 0, 14, 0, 0, 20, 0, 0, -12, 0, 0, 20, 0, 0, 18, 0, 0, 8, 0, 0, 36, 0, 0, 18, 0, 0, -16, 0, 0, 4, 0, 0, 30, 0, 0, 8, 0, 0, 6, 0, 0, -24, 0, 0, 60, 0, 0, 44, 0, 0, -2, 0, 0, -100, 0, 0, -48, 0, 0, -18, 0, 0, -40, 0, 0, -4, 0, 0, 12, 0, 0, 20, 0, 0, 6, 0, 0, 38, 0, 0, 72, 0, 0, 8, 0, 0, -36, 0, 0, 48, 0, 0, 24, 0, 0, -16, 0, 0, 32, 0, 0, -20, 0, 0, 42, 0, 0, -12, 0, 0, -38, 0, 0, 14, 0, 0, 48, 0, 0, -48, 0, 0, -28, 0, 0, 80, 0, 0, -12, 0, 0, 38, 0, 0, -12, 0, 0, 8, 0, 0, 12, 0, 0, 124, 0, 0, 8, 0, 0, 24, 0, 0, -24, 0, 0, 8, 0, 0, 50, 0, 0, 68, 0, 0, -30, 0, 0, -4, 0, 0, 32, 0, 0, -36, 0, 0, -6, 0, 0, -16, 0, 0, 18, 0, 0, -40, 0, 0, -72, 0, 0, 26, 0, 0, 24, 0, 0, 4, 0, 0, -6, 0, 0, -28, 0, 0, 36, 0, 0, -18, 0, 0, -12, 0, 0, 24, 0, 0, -4, 0, 0, 50, 0, 0, -84, 0, 0, 38, 0, 0, 24, 0, 0, 32, 0, 0, 30, 0, 0, 6, 0, 0, -16, 0, 0, 24, 0, 0, 36, 0, 0, 8, 0, 0, -20, 0, 0, -20, 0, 0, -72, 0, 0, 8, 0, 0, -10, 0, 0, -72, 0, 0, 30, 0, 0, -34, 0, 0, -96, 0, 0, -16, 0, 0, 24, 0, 0, 104, 0, 0, 14, 0, 0, 32, 0, 0, -96, 0, 0, 30, 0, 0, -2, 0, 0, -36, 0, 0, -12, 0, 0, -34, 0, 0, 12, 0, 0, 44, 0, 0, -60, 0, 0, 56, 0, 0, -24, 0, 0, 20, 0, 0, -72, 0, 0, 28, 0, 0, 16, 0, 0, -16, 0, 0, -6, 0, 0, -144, 0, 0, -100, 0, 0, -64, 0, 0, -72, 0, 0, 96, 0, 0, 20, 0, 0, 8, 0, 0, 12, 0, 0, 24, 0, 0, 12, 0, 0, 44, 0, 0, -30, 0, 0, 40, 0, 0, 20, 0, 0, 12, 0, 0, -66, 0, 0, -124, 0, 0, -72, 0, 0, 80, 0, 0, 24, 0, 0, -16, 0, 0, -40, 0, 0, -32, 0, 0, 0, 0, 0, -36, 0, 0, -36, 0, 0, -52, 0, 0, -18, 0, 0, 8, 0, 0, 36, 0, 0, 48, 0, 0, 0, 0, 0, -50, 0, 0, -70, 0, 0, -48, 0, 0, -12, 0, 0, -28, 0, 0, -40, 0, 0, 56, 0, 0, -48, 0, 0, 44, 0, 0, -6, 0, 0, -34, 0, 0, 24, 0, 0, 22, 0, 0, 20, 0, 0, 32, 0, 0, -24, 0, 0, -4, 0, 0, 84, 0, 0, 86, 0, 0, 120, 0, 0, 48, 0, 0, -4, 0, 0, -24, 0, 0, 48, 0, 0, 20, 0, 0, -36, 0, 0, -72, 0, 0, -84, 0, 0, 20, 0, 0, -36, 0, 0, 8, 0, 0, 30, 0, 0, 24, 0, 0, -40, 0, 0, -16, 0, 0, -228, 0, 0, 72, 0, 0, 4, 0, 0, -140, 0, 0, 114, 0, 0, 38, 0, 0, 60, 0, 0, 12, 0, 0, -60, 0, 0, 20, 0, 0, -4, 0, 0, 80, 0, 0, -48, 0, 0, -64, 0, 0, 18, 0, 0, 152, 0, 0, -48, 0, 0, 12, 0, 0, 48, 0, 0, 56, 0, 0, 72, 0, 0, -40, 0, 0, 30, 0, 0, 14, 0, 0, 264, 0, 0, 44, 0, 0, 44, 0, 0, -40, 0, 0, 24, 0, 0, 18, 0, 0, -20, 0, 0, 8, 0, 0, -48, 0, 0, 64, 0, 0, 50, 0, 0, 96, 0, 0, -24, 0, 0, -6, 0, 0, 48, 0, 0, -172, 0, 0, -42, 0, 0, 40, 0, 0, 36, 0, 0, -28, 0, 0, 24, 0, 0, 128, 0, 0, -4, 0, 0, 36, 0, 0, 216, 0, 0, -158, 0, 0, -4, 0, 0, -32, 0, 0, -48, 0, 0, -88, 0, 0, 24, 0, 0, -82, 0, 0, 78, 0, 0, 12, 0, 0, -10, 0, 0, -56, 0, 0, 60, 0, 0, 44, 0, 0, -30, 0, 0, 224, 0, 0, 66, 0, 0, 20, 0, 0, -76, 0, 0, -12, 0, 0, -36, 0, 0, -384, 0, 0, 36, 0, 0, 20, 0, 0, 24, 0, 0, -36, 0, 0, 8, 0, 0, -64, 0, 0, -126, 0, 0, -28, 0, 0, 216, 0, 0, -10, 0, 0, 48, 0, 0, 176, 0, 0, -24, 0, 0, -18, 0, 0, 48, 0, 0, 16, 0, 0, -24, 0, 0, -60, 0, 0, 96, 0, 0, 12, 0, 0, 32, 0, 0, -4, 0, 0, 24, 0, 0, 80, 0, 0, 80, 0, 0, -30, 0, 0, 252, 0, 0, 36, 0, 0, -20, 0, 0, 8, 0, 0, -18, 0, 0, -52, 0, 0, 84], 'weight': 2, '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], [0.6123724356957945, 1.0606601717798212], [0.0, 0.0], [-0.25, 0.4330127018922193], [0.3872983346207417, -0.6708203932499369], [0.0, 0.0], [-0.18898223650461363, -0.3273268353539886], [0.6123724356957945, 0.0], [0.0, 0.0], [0.9486832980505138, 0.0], [-0.26111648393354675, -0.45226701686664544], [0.0, 0.0], [-0.2773500981126146, 0.4803844614152614], [0.23145502494313785, -0.4008918628686366], [0.0, 0.0], [0.625, 1.0825317547305484], [1.6803361008336117, 0.0], [0.0, 0.0], [1.1470786693528088, 0.0], [0.19364916731037085, 0.33541019662496846], [0.0, 0.0], [0.31980107453341566, -0.5539117094069973], [0.1805787796286538, -0.31277162108561213], [0.0, 0.0], [0.2, 0.34641016151377546], [-0.6793662204867574, 0.0], [0.0, 0.0], [0.18898223650461363, 0.0], [-0.9649012813540153, -1.6712580435934667], [0.0, 0.0], [-0.44901325506693723, 0.7777137710478189], [-0.4592793267718459, 0.795495128834866], [0.0, 0.0], [1.028991510855053, 1.7822655773580138], [-0.29277002188455997, 0.0], [0.0, 0.0], [-1.150792911137501, 0.0], [0.7024393586862705, 1.2166606584807191], [0.0, 0.0], [0.23717082451262844, -0.4107919181288746], [0.40575133560034454, -0.7027819284987273], [0.0, 0.0], [0.30499714066520933, 0.5282705437953743], [0.26111648393354675, 0.0], [0.0, 0.0], [0.4423258684646914, 0.0], [0.5052911526399114, 0.8751899489873673], [0.0, 0.0], [-0.07142857142857142, 0.12371791482634838], [-0.2449489742783178, 0.4242640687119285], [0.0, 0.0], [-0.1386750490563073, -0.2401922307076307], [-1.903323805723546, 0.0], [0.0, 0.0], [-0.40451991747794525, 0.0], [-0.11572751247156893, -0.2004459314343183], [0.0, 0.0], [1.181757895737503, -2.046864717663039], [-0.4509876168016973, 0.7811334658849433], [0.0, 0.0], [-0.5121475197315839, -0.8870655251454874], [-1.0998533626601497, 0.0], [0.0, 0.0], [0.125, 0.0], [0.21483446221182986, 0.3721042037676254], [0.0, 0.0], [-0.8551861104941365, 1.4812257933030564], [-0.42008402520840293, 0.7276068751089989], [0.0, 0.0], [-0.17928429140015906, -0.3105295017040594], [-0.6166698388447784, 0.0], [0.0, 0.0], [-0.4681645887845223, 0.0], [-0.7047138579747255, -1.2206002068101025], [0.0, 0.0], [-0.2867696673382022, 0.4966996338993914], [-0.09869275424396534, 0.17094086468945693], [0.0, 0.0], [-0.4500351603704096, -0.779483762953957], [0.9682458365518543, 0.0], [0.0, 0.0], [0.9938837346736189, 0.0], [-0.5703518254720301, -0.9878783399072131], [0.0, 0.0], [0.6507913734559685, -1.127203723953269], [-0.3735436838188142, 0.6469966392206304], [0.0, 0.0], [-0.15990053726670783, -0.27695585470349865], [0.9179850920431568, 0.0], [0.0, 0.0], [0.20965696734438366, 0.0], [0.0902893898143269, 0.15638581054280606], [0.0, 0.0], [-0.618852747755276, 1.0718844015157445], [0.44426165831931924, -0.7694837640638655], [0.0, 0.0], [0.2030692330267238, 0.3517262290563295], [-0.1749635530559413, 0.0], [0.0, 0.0], [-0.2, 0.0], [0.6893819875457113, 1.194044628251987], [0.0, 0.0], [-0.2463323195410733, 0.4266600929914307], [-0.16984155512168936, 0.29417420270727607], [0.0, 0.0], [-1.165543034828717, -2.0187797547313595], [0.33488734331156855, 0.0], [0.0, 0.0], [-0.6704783996548059, 0.0], [-0.24771684715343115, -0.42905816516051654], [0.0, 0.0], [0.236227795630767, -0.4091585441924857], [0.48881290193421156, -0.8466487815452376], [0.0, 0.0], [-0.13987572123604705, -0.24227185592617448], [0.9649012813540153, 0.0], [0.0, 0.0], [-1.104689541477988, 0.0], [-0.3175536744149779, -0.5500190982169267], [0.0, 0.0], [0.36363636363636365, -0.6298366572977736], [0.62725004818718, -1.0864289525102224], [0.0, 0.0], [-0.22450662753346862, -0.38885688552390946], [1.0844353369380768, 0.0], [0.0, 0.0], [-0.8873565094161138, 0.0], [0.5358258812338202, 0.9280776503073436], [0.0, 0.0], [-0.26311740579210874, 0.45573271518764996], [0.30265996338319096, -0.5242224339966227], [0.0, 0.0], [-0.21677749238103, -0.37546963074131917], [-2.0947696058260292, 0.0], [0.0, 0.0], [1.028991510855053, 0.0], [0.14797908710009702, 0.25630729731502827], [0.0, 0.0], [-0.848188929679971, 1.4691063206231754], [0.07319250547113999, -0.1267731382092775], [0.0, 0.0], [-0.3776316112335101, -0.6540771372005375], [0.28968272975116055, 0.0], [0.0, 0.0], [-1.4948186373673193, 0.0], [-0.28669108954049793, -0.49656353316142077], [0.0, 0.0], [0.28769822778437526, -0.498307947770062], [-0.14189513095212064, 0.24576957615571213], [0.0, 0.0], [0.40689422938557973, 0.7047614786024093], [0.7024393586862705, 0.0], [0.0, 0.0], [-0.24174688920761409, 0.0], [0.3478041718201262, 0.6024144966768742], [0.0, 0.0], [0.39904344223381105, -0.6911635163761372], [0.5511782546095504, -0.9546687410108761], [0.0, 0.0], [0.3557562367689427, 0.6161878771933119], [-0.136504726557987, 0.0], [0.0, 0.0], [0.15665208999759148, 0.0], [0.20287566780017227, 0.35139096424936367], [0.0, 0.0], [0.6985354731356995, -1.2098989303601961], [-0.40209034644789327, 0.6964409092807232], [0.0, 0.0], [0.34615384615384615, 0.5995560487738422], [1.5941067939721716, 0.0], 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• 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': 2268, 'analytic_conductor': 4.527517794606598, 'char_conductor': 9, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 3, 'char_parity': 1, 'char_values': [567, 3, [407, 325], [1, 3]], 'conrey_index': 190, 'cusp_dim': 120, 'dim': 48, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 5], 'hecke_orbit_code': 343630938679, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 6, 6, 8], 'label': '567.2.f', 'level': 567, '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': [3, 7], 'level_radical': 21, 'mf_dim': 168, 'mf_new_dim': 48, 'num_forms': 14, 'prim_orbit_index': 3, 'relative_dim': 24, 'sturm_bound': 144, 'trace_bound': 10, 'trace_display': [0, 0, 0, 0], 'traces': [48, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 24, 0, 0, -12, 0, 0, -36, 0, 0, 0, 0, 0, -12, 0, 0, 48, 0, 0, 24, 0, 0, 60, 0, 0, -12, 0, 0, -120, 0, 0, -24, 0, 0, -36, 0, 0, 24, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 72, 0, 0, 24, 0, 0, -12, 0, 0, 72, 0, 0, 0, 0, 0, 84, 0, 0, 24, 0, 0, 84, 0, 0, -36, 0, 0, -96, 0, 0, -48, 0, 0, 72, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, -12, 0, 0, -24, 0, 0, -72, 0, 0, 108, 0, 0, 0, 0, 0, -168, 0, 0, 108, 0, 0, -48, 0, 0, -144, 0, 0, -36, 0, 0, 84, 0, 0, -24, 0, 0, 48, 0, 0, 156, 0, 0, 168, 0, 0, -60, 0, 0, -36, 0, 0, 216, 0, 0, -24, 0, 0, 84, 0, 0, 0, 0, 0, 96, 0, 0, 12, 0, 0, -24, 0, 0, 24, 0, 0, -24, 0, 0, -144, 0, 0, -72, 0, 0, 120, 0, 0, 216, 0, 0, -120, 0, 0, -36, 0, 0, 0, 0, 0, -24, 0, 0, -108, 0, 0, 312, 0, 0, -36, 0, 0, -144, 0, 0, -120, 0, 0, 60, 0, 0, -72, 0, 0, -168, 0, 0, 0, 0, 0, -72, 0, 0, 24, 0, 0, -72, 0, 0, 0, 0, 0, 288, 0, 0, -120, 0, 0, -144, 0, 0, -144, 0, 0, 120, 0, 0, 0, 0, 0, 120, 0, 0, -12, 0, 0, -48, 0, 0, 0, 0, 0, -204, 0, 0, 12, 0, 0, -144, 0, 0, 0, 0, 0, -72, 0, 0, 48, 0, 0, -84, 0, 0, -156, 0, 0, 288, 0, 0, 120, 0, 0, -24, 0, 0, -48, 0, 0, 48, 0, 0, -12, 0, 0, -216, 0, 0, -72, 0, 0, -12, 0, 0, 0, 0, 0, -108, 0, 0, 48, 0, 0, -336, 0, 0, 168, 0, 0, -72, 0, 0, 360, 0, 0, -48, 0, 0, 288, 0, 0, 96, 0, 0, 0, 0, 0, 216, 0, 0, 168, 0, 0, -24, 0, 0, 48, 0, 0, 192, 0, 0, 192, 0, 0, 132, 0, 0, 312, 0, 0, -48, 0, 0, -72, 0, 0, 0, 0, 0, -84, 0, 0, 120, 0, 0, -216, 0, 0, 192, 0, 0, -120, 0, 0, -480, 0, 0, 60, 0, 0, -108, 0, 0, 144, 0, 0, -216, 0, 0, 72, 0, 0, -312, 0, 0, -96, 0, 0, 12, 0, 0, -168, 0, 0, 120, 0, 0, -120, 0, 0, 192, 0, 0, 108, 0, 0, -156, 0, 0, 48, 0, 0, -96, 0, 0, 96, 0, 0, 240, 0, 0, -144, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 240, 0, 0, 12, 0, 0, -84, 0, 0, 0, 0, 0, 120, 0, 0, -48, 0, 0, 24, 0, 0, -12, 0, 0, 132, 0, 0, -648, 0, 0, 204, 0, 0, -36, 0, 0, -360, 0, 0, 240, 0, 0, -168, 0, 0, -312, 0, 0, 204, 0, 0, 228, 0, 0, -48, 0, 0, -72, 0, 0, 0, 0, 0, -504, 0, 0, 120, 0, 0, 216, 0, 0, 120, 0, 0, -108, 0, 0, 0, 0, 0, -24, 0, 0, 12, 0, 0, 120, 0, 0, 384, 0, 0, 132, 0, 0, -72, 0, 0, 0, 0, 0, -336, 0, 0, -72, 0, 0, 120, 0, 0, 228, 0, 0, -180, 0, 0, -264, 0, 0, 24, 0, 0, 36, 0, 0, 360, 0, 0, -48, 0, 0, 12, 0, 0, -264, 0, 0, -108, 0, 0, 0, 0, 0, -552, 0, 0, -216, 0, 0, -288, 0, 0, 456, 0, 0, 72, 0, 0, 120, 0, 0, 168, 0, 0, 192, 0, 0, -312, 0, 0, -240, 0, 0, -336, 0, 0, -132, 0, 0, 360, 0, 0, -12, 0, 0, 144, 0, 0, 192, 0, 0, 48, 0, 0, -276, 0, 0, -144, 0, 0, -36, 0, 0, -72, 0, 0, -72, 0, 0, -156, 0, 0, 156, 0, 0, -696, 0, 0, 96, 0, 0, 288, 0, 0, 72, 0, 0, 120, 0, 0, 180, 0, 0, 120, 0, 0, 0, 0, 0, 12, 0, 0, 432, 0, 0, -36, 0, 0, -72, 0, 0, 480, 0, 0, 240, 0, 0, 468, 0, 0, -72, 0, 0, 156, 0, 0, 0, 0, 0, 360, 0, 0, -84, 0, 0, 132, 0, 0, 528, 0, 0, -384, 0, 0, -36, 0, 0, 48, 0, 0, -96, 0, 0, -36, 0, 0, 552, 0, 0, 96, 0, 0, -36, 0, 0, 120, 0, 0, 180, 0, 0, -504, 0, 0, -216, 0, 0, -12, 0, 0, -180, 0, 0, -216, 0, 0, -132, 0, 0, 180, 0, 0, -72, 0, 0, -156, 0, 0, 12, 0, 0, 72, 0, 0, -60, 0, 0, 12, 0, 0, 96, 0, 0, -168, 0, 0, -48, 0, 0, -480, 0, 0, -72, 0, 0, 84, 0, 0, 48, 0, 0, -60, 0, 0, -48, 0, 0, -1008, 0, 0, -24, 0, 0, -504, 0, 0, 312, 0, 0, 204, 0, 0, -48, 0, 0, 288, 0, 0, -204, 0, 0, -84, 0, 0, -672, 0, 0, -84, 0, 0, -84, 0, 0, -432, 0, 0, 84, 0, 0, -156, 0, 0, 24, 0, 0, 60, 0, 0, -144, 0, 0, 696, 0, 0, -12, 0, 0, 240, 0, 0, 336, 0, 0, 192, 0, 0, 288, 0, 0, 240, 0, 0, -132, 0, 0, 96, 0, 0, 816, 0, 0, -12, 0, 0, 108, 0, 0, 312, 0, 0, -120, 0, 0, -168, 0, 0, -120, 0, 0, 276, 0, 0, -96, 0, 0, 408, 0, 0, 24, 0, 0, 288, 0, 0, 264, 0, 0, 120, 0, 0, 0, 0, 0, 456], 'weight': 2, '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: 47191110
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 190, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036339904643639, 'source_is_minimal': False, 'source_label': '567.2.f.k.190.2', 'source_level': 567, 'target_conrey_index': 190, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45036339904643639, 'target_is_minimal': False, 'target_label': '567.2.f.k.190.2', 'target_level': 567, 'twist_class_label': '189.2.a.e.1.1', 'twist_class_level': 189, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47191111
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 190, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036339904643639, 'source_is_minimal': False, 'source_label': '567.2.f.k.190.2', 'source_level': 567, 'target_conrey_index': 190, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45036339904643639, 'target_is_minimal': False, 'target_label': '567.2.f.k.190.1', 'target_level': 567, 'twist_class_label': '189.2.a.e.1.1', 'twist_class_level': 189, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47191112
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 190, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036339904643639, 'source_is_minimal': False, 'source_label': '567.2.f.k.190.2', 'source_level': 567, 'target_conrey_index': 379, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45036339904643639, 'target_is_minimal': False, 'target_label': '567.2.f.k.379.1', 'target_level': 567, 'twist_class_label': '189.2.a.e.1.1', 'twist_class_level': 189, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47191113
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 190, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036339904643639, 'source_is_minimal': False, 'source_label': '567.2.f.k.190.2', 'source_level': 567, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398543036605, 'target_is_minimal': True, 'target_label': '189.2.a.e.1.1', 'target_level': 189, 'twist_class_label': '189.2.a.e.1.1', 'twist_class_level': 189, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 47191114
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 190, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036339904643639, 'source_is_minimal': False, 'source_label': '567.2.f.k.190.2', 'source_level': 567, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014398543036605, 'target_is_minimal': True, 'target_label': '189.2.a.e.1.2', 'target_level': 189, 'twist_class_label': '189.2.a.e.1.1', 'twist_class_level': 189, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 47191115
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 190, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036339904643639, 'source_is_minimal': False, 'source_label': '567.2.f.k.190.2', 'source_level': 567, 'target_conrey_index': 379, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45036339904643639, 'target_is_minimal': False, 'target_label': '567.2.f.k.379.2', 'target_level': 567, 'twist_class_label': '189.2.a.e.1.1', 'twist_class_level': 189, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 47191116
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 190, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036339904643639, 'source_is_minimal': False, 'source_label': '567.2.f.k.190.2', 'source_level': 567, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 144115188109413328, 'target_is_minimal': False, 'target_label': '3024.2.a.bg.1.2', 'target_level': 3024, 'twist_class_label': '189.2.a.e.1.1', 'twist_class_level': 189, 'twisting_char_label': '36.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 47191117
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 190, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036339904643639, 'source_is_minimal': False, 'source_label': '567.2.f.k.190.2', 'source_level': 567, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 144115188109413328, 'target_is_minimal': False, 'target_label': '3024.2.a.bg.1.1', 'target_level': 3024, 'twist_class_label': '189.2.a.e.1.1', 'twist_class_level': 189, 'twisting_char_label': '36.31', 'twisting_conrey_index': 31, 'weight': 2}
  • id: 47191118
    {'conductor': 45, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 190, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036339904643639, 'source_is_minimal': False, 'source_label': '567.2.f.k.190.2', 'source_level': 567, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 117093590345192053, 'target_is_minimal': False, 'target_label': '4725.2.a.ba.1.2', 'target_level': 4725, 'twist_class_label': '189.2.a.e.1.1', 'twist_class_level': 189, 'twisting_char_label': '45.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 47191119
    {'conductor': 45, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 190, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036339904643639, 'source_is_minimal': False, 'source_label': '567.2.f.k.190.2', 'source_level': 567, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 117093590345192053, 'target_is_minimal': False, 'target_label': '4725.2.a.ba.1.1', 'target_level': 4725, 'twist_class_label': '189.2.a.e.1.1', 'twist_class_level': 189, 'twisting_char_label': '45.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 47191120
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 190, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036339904643639, 'source_is_minimal': False, 'source_label': '567.2.f.k.190.2', 'source_level': 567, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 85568392953595179, 'target_is_minimal': False, 'target_label': '1323.2.a.t.1.1', 'target_level': 1323, 'twist_class_label': '189.2.a.e.1.1', 'twist_class_level': 189, 'twisting_char_label': '63.13', 'twisting_conrey_index': 13, 'weight': 2}
  • id: 47191121
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 190, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45036339904643639, 'source_is_minimal': False, 'source_label': '567.2.f.k.190.2', 'source_level': 567, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 85568392953595179, 'target_is_minimal': False, 'target_label': '1323.2.a.t.1.2', 'target_level': 1323, 'twist_class_label': '189.2.a.e.1.1', 'twist_class_level': 189, 'twisting_char_label': '63.41', 'twisting_conrey_index': 41, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1056100
    {'charpoly_factorization': [[[9, 0, 3, 0, 1], 1]], 'hecke_orbit_code': 45036339904643639, 'p': 2}
  • id: 1056101
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 45036339904643639, 'p': 3}
  • id: 1056102
    {'charpoly_factorization': [[[9, 0, 3, 0, 1], 1]], 'hecke_orbit_code': 45036339904643639, 'p': 5}
  • id: 1056103
    {'charpoly_factorization': [[[1, 1, 1], 2]], 'hecke_orbit_code': 45036339904643639, 'p': 7}
  • id: 1056104
    {'charpoly_factorization': [[[9, 0, 3, 0, 1], 1]], 'hecke_orbit_code': 45036339904643639, 'p': 11}
  • id: 1056105
    {'charpoly_factorization': [[[4, 2, 1], 2]], 'hecke_orbit_code': 45036339904643639, 'p': 13}
  • id: 1056106
    {'charpoly_factorization': [[[-48, 0, 1], 2]], 'hecke_orbit_code': 45036339904643639, 'p': 17}
  • id: 1056107
    {'charpoly_factorization': [[[-5, 1], 4]], 'hecke_orbit_code': 45036339904643639, 'p': 19}
  • id: 1056108
    {'charpoly_factorization': [[[9, 0, 3, 0, 1], 1]], 'hecke_orbit_code': 45036339904643639, 'p': 23}
  • id: 1056109
    {'charpoly_factorization': [[[11664, 0, 108, 0, 1], 1]], 'hecke_orbit_code': 45036339904643639, 'p': 29}
  • id: 1056110
    {'charpoly_factorization': [[[25, 5, 1], 2]], 'hecke_orbit_code': 45036339904643639, 'p': 31}
  • id: 1056111
    {'charpoly_factorization': [[[7, 1], 4]], 'hecke_orbit_code': 45036339904643639, 'p': 37}
  • id: 1056112
    {'charpoly_factorization': [[[729, 0, 27, 0, 1], 1]], 'hecke_orbit_code': 45036339904643639, 'p': 41}
  • id: 1056113
    {'charpoly_factorization': [[[16, -4, 1], 2]], 'hecke_orbit_code': 45036339904643639, 'p': 43}
  • id: 1056114
    {'charpoly_factorization': [[[2304, 0, 48, 0, 1], 1]], 'hecke_orbit_code': 45036339904643639, 'p': 47}
  • id: 1056115
    {'charpoly_factorization': [[[-192, 0, 1], 2]], 'hecke_orbit_code': 45036339904643639, 'p': 53}
  • id: 1056116
    {'charpoly_factorization': [[[2304, 0, 48, 0, 1], 1]], 'hecke_orbit_code': 45036339904643639, 'p': 59}
  • id: 1056117
    {'charpoly_factorization': [[[64, 8, 1], 2]], 'hecke_orbit_code': 45036339904643639, 'p': 61}
  • id: 1056118
    {'charpoly_factorization': [[[196, 14, 1], 2]], 'hecke_orbit_code': 45036339904643639, 'p': 67}
  • id: 1056119
    {'charpoly_factorization': [[[-27, 0, 1], 2]], 'hecke_orbit_code': 45036339904643639, 'p': 71}
  • id: 1056120
    {'charpoly_factorization': [[[4, 1], 4]], 'hecke_orbit_code': 45036339904643639, 'p': 73}
  • id: 1056121
    {'charpoly_factorization': [[[64, 8, 1], 2]], 'hecke_orbit_code': 45036339904643639, 'p': 79}
  • id: 1056122
    {'charpoly_factorization': [[[11664, 0, 108, 0, 1], 1]], 'hecke_orbit_code': 45036339904643639, 'p': 83}
  • id: 1056123
    {'charpoly_factorization': [[[-75, 0, 1], 2]], 'hecke_orbit_code': 45036339904643639, 'p': 89}
  • id: 1056124
    {'charpoly_factorization': [[[16, -4, 1], 2]], 'hecke_orbit_code': 45036339904643639, 'p': 97}
• 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': 11, 'label': '567.2.f.k', 'level': 567, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 55488037
    {'hecke_orbit_code': 45036339904643639, 'n': 1, 'trace_an': 4}
  • id: 55488038
    {'hecke_orbit_code': 45036339904643639, 'n': 2, 'trace_an': 0}
  • id: 55488039
    {'hecke_orbit_code': 45036339904643639, 'n': 3, 'trace_an': 0}
  • id: 55488040
    {'hecke_orbit_code': 45036339904643639, 'n': 4, 'trace_an': -2}
  • id: 55488041
    {'hecke_orbit_code': 45036339904643639, 'n': 5, 'trace_an': 0}
  • id: 55488042
    {'hecke_orbit_code': 45036339904643639, 'n': 6, 'trace_an': 0}
  • id: 55488043
    {'hecke_orbit_code': 45036339904643639, 'n': 7, 'trace_an': -2}
  • id: 55488044
    {'hecke_orbit_code': 45036339904643639, 'n': 8, 'trace_an': 0}
  • id: 55488045
    {'hecke_orbit_code': 45036339904643639, 'n': 9, 'trace_an': 0}
  • id: 55488046
    {'hecke_orbit_code': 45036339904643639, 'n': 10, 'trace_an': 12}
  • id: 55488047
    {'hecke_orbit_code': 45036339904643639, 'n': 11, 'trace_an': 0}
  • id: 55488048
    {'hecke_orbit_code': 45036339904643639, 'n': 12, 'trace_an': 0}
  • id: 55488049
    {'hecke_orbit_code': 45036339904643639, 'n': 13, 'trace_an': -4}
  • id: 55488050
    {'hecke_orbit_code': 45036339904643639, 'n': 14, 'trace_an': 0}
  • id: 55488051
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  • id: 55488052
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  • id: 55488053
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  • id: 55488054
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  • id: 55488055
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  • id: 55488056
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  • id: 55488057
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  • id: 55488058
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  • id: 55488059
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  • id: 55488060
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  • id: 55488061
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  • id: 55488062
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  • id: 55488063
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  • id: 55488064
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  • id: 55488065
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  • id: 55488066
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  • id: 55488067
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  • id: 55488068
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  • id: 55488069
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  • id: 55488070
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  • id: 55488071
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  • id: 55488072
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  • id: 55488073
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  • id: 55488074
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  • id: 55488075
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  • id: 55488076
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  • id: 55488077
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  • id: 55488078
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  • id: 55488079
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  • id: 55488080
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  • id: 55488081
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  • id: 55488082
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  • id: 55488083
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  • id: 55488084
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  • id: 55488085
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  • id: 55488086
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  • id: 55488087
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  • id: 55488088
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  • id: 55488089
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  • id: 55488090
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  • id: 55488091
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  • id: 55488092
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  • id: 55488093
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  • id: 55488094
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  • id: 55488095
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  • id: 55488096
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  • id: 55488097
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  • id: 55488098
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  • id: 55488099
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  • id: 55488100
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  • id: 55488101
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  • id: 55488102
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  • id: 55488103
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  • id: 55488104
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  • id: 55488105
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  • id: 55488106
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  • id: 55488107
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  • id: 55488108
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  • id: 55488109
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  • id: 55488110
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  • id: 55488111
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  • id: 55488112
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  • id: 55488113
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  • id: 55488114
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  • id: 55488115
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  • id: 55488116
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  • id: 55488117
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  • id: 55488118
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  • id: 55488119
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  • id: 55488120
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  • id: 55488121
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  • id: 55488122
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  • id: 55488123
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  • id: 55488124
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  • id: 55488125
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  • id: 55488126
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  • id: 55488127
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  • id: 55488128
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  • id: 55488129
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  • id: 55488130
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  • id: 55488131
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  • id: 55488132
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  • id: 55488133
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  • id: 55488134
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  • id: 55488135
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  • id: 55488136
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  • id: 55488137
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  • id: 55488138
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  • id: 55488139
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  • id: 55488140
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  • id: 55488141
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  • id: 55488142
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  • id: 55488143
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  • id: 55488144
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  • id: 55488145
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  • id: 55488146
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  • id: 55488147
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  • id: 55488148
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  • id: 55488149
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  • id: 55488150
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  • id: 55488151
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  • id: 55488152
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  • id: 55488153
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  • id: 55488154
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  • id: 55488155
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  • id: 55488156
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  • id: 55488157
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  • id: 55488158
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  • id: 55488159
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  • id: 55488160
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  • id: 55488161
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  • id: 55488162
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  • id: 55488163
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  • id: 55488164
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  • id: 55488165
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  • id: 55488166
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  • id: 55488167
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  • id: 55488168
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  • id: 55488169
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  • id: 55488170
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  • id: 55488171
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  • id: 55488172
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  • id: 55488173
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  • id: 55488174
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  • id: 55488175
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  • id: 55488176
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  • id: 55488177
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  • id: 55488178
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  • id: 55488179
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  • id: 55488180
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  • id: 55488181
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  • id: 55488182
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  • id: 55488183
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  • id: 55488184
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  • id: 55488185
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  • id: 55488186
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  • id: 55488187
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  • id: 55488188
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  • id: 55488189
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  • id: 55488190
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  • id: 55488191
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  • id: 55488192
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  • id: 55488193
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  • id: 55488194
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  • id: 55488195
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  • id: 55488196
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  • id: 55488197
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  • id: 55488198
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  • id: 55488199
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  • id: 55488200
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  • id: 55488201
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  • id: 55488202
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  • id: 55488203
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  • id: 55488204
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  • id: 55488205
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  • id: 55488206
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  • id: 55488207
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  • id: 55488208
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  • id: 55488209
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  • id: 55488210
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  • id: 55488211
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  • id: 55488212
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  • id: 55488213
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  • id: 55488214
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  • id: 55488215
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  • id: 55488216
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  • id: 55488217
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  • id: 55488218
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  • id: 55488219
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  • id: 55488220
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  • id: 55488221
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  • id: 55488222
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  • id: 55488223
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  • id: 55488224
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  • id: 55488227
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  • id: 55488228
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  • id: 55488229
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  • id: 55488231
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  • id: 55488232
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  • id: 55488233
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  • id: 55488234
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  • id: 55488235
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  • id: 55488236
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  • id: 55488237
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  • id: 55488238
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  • id: 55488239
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  • id: 55488240
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  • id: 55488241
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  • id: 55488242
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  • id: 55488243
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  • id: 55488244
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  • id: 55488245
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  • id: 55488246
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  • id: 55488247
    {'hecke_orbit_code': 45036339904643639, 'n': 683, 'trace_an': 0}
  • id: 55488248
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  • id: 55488249
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  • id: 55488250
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  • id: 55488251
    {'hecke_orbit_code': 45036339904643639, 'n': 719, 'trace_an': 0}
  • id: 55488252
    {'hecke_orbit_code': 45036339904643639, 'n': 727, 'trace_an': 80}
  • id: 55488253
    {'hecke_orbit_code': 45036339904643639, 'n': 729, 'trace_an': 0}
  • id: 55488254
    {'hecke_orbit_code': 45036339904643639, 'n': 733, 'trace_an': -64}
  • id: 55488255
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  • id: 55488256
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  • id: 55488257
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  • id: 55488258
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  • id: 55488259
    {'hecke_orbit_code': 45036339904643639, 'n': 761, 'trace_an': 0}
  • id: 55488260
    {'hecke_orbit_code': 45036339904643639, 'n': 769, 'trace_an': 44}
  • id: 55488261
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  • id: 55488262
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  • id: 55488263
    {'hecke_orbit_code': 45036339904643639, 'n': 797, 'trace_an': 0}
  • id: 55488264
    {'hecke_orbit_code': 45036339904643639, 'n': 809, 'trace_an': 0}
  • id: 55488265
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  • id: 55488266
    {'hecke_orbit_code': 45036339904643639, 'n': 821, 'trace_an': 0}
  • id: 55488267
    {'hecke_orbit_code': 45036339904643639, 'n': 823, 'trace_an': -28}
  • id: 55488268
    {'hecke_orbit_code': 45036339904643639, 'n': 827, 'trace_an': 0}
  • id: 55488269
    {'hecke_orbit_code': 45036339904643639, 'n': 829, 'trace_an': 128}
  • id: 55488270
    {'hecke_orbit_code': 45036339904643639, 'n': 839, 'trace_an': 0}
  • id: 55488271
    {'hecke_orbit_code': 45036339904643639, 'n': 841, 'trace_an': -158}
  • id: 55488272
    {'hecke_orbit_code': 45036339904643639, 'n': 853, 'trace_an': -88}
  • id: 55488273
    {'hecke_orbit_code': 45036339904643639, 'n': 857, 'trace_an': 0}
  • id: 55488274
    {'hecke_orbit_code': 45036339904643639, 'n': 859, 'trace_an': -82}
  • id: 55488275
    {'hecke_orbit_code': 45036339904643639, 'n': 863, 'trace_an': 0}
  • id: 55488276
    {'hecke_orbit_code': 45036339904643639, 'n': 877, 'trace_an': 44}
  • id: 55488277
    {'hecke_orbit_code': 45036339904643639, 'n': 881, 'trace_an': 0}
  • id: 55488278
    {'hecke_orbit_code': 45036339904643639, 'n': 883, 'trace_an': 224}
  • id: 55488279
    {'hecke_orbit_code': 45036339904643639, 'n': 887, 'trace_an': 0}
  • id: 55488280
    {'hecke_orbit_code': 45036339904643639, 'n': 907, 'trace_an': 20}
  • id: 55488281
    {'hecke_orbit_code': 45036339904643639, 'n': 911, 'trace_an': 0}
  • id: 55488282
    {'hecke_orbit_code': 45036339904643639, 'n': 919, 'trace_an': -64}
  • id: 55488283
    {'hecke_orbit_code': 45036339904643639, 'n': 929, 'trace_an': 0}
  • id: 55488284
    {'hecke_orbit_code': 45036339904643639, 'n': 937, 'trace_an': 176}
  • id: 55488285
    {'hecke_orbit_code': 45036339904643639, 'n': 941, 'trace_an': 0}
  • id: 55488286
    {'hecke_orbit_code': 45036339904643639, 'n': 947, 'trace_an': 0}
  • id: 55488287
    {'hecke_orbit_code': 45036339904643639, 'n': 953, 'trace_an': 0}
  • id: 55488288
    {'hecke_orbit_code': 45036339904643639, 'n': 961, 'trace_an': 12}
  • id: 55488289
    {'hecke_orbit_code': 45036339904643639, 'n': 967, 'trace_an': -4}
  • id: 55488290
    {'hecke_orbit_code': 45036339904643639, 'n': 971, 'trace_an': 0}
  • id: 55488291
    {'hecke_orbit_code': 45036339904643639, 'n': 977, 'trace_an': 0}
  • id: 55488292
    {'hecke_orbit_code': 45036339904643639, 'n': 983, 'trace_an': 0}
  • id: 55488293
    {'hecke_orbit_code': 45036339904643639, 'n': 991, 'trace_an': 8}
  • id: 55488294
    {'hecke_orbit_code': 45036339904643639, 'n': 997, 'trace_an': -52}