Embedded newform data - 294.6.a.k.1.1

Formats: - HTML - YAML - JSON - 2024-12-08T00:20:43.190135

• 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': 10584, 'analytic_conductor': 47.1528430250163, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [7, -1]], 'atkin_lehner_string': '---', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [294, 1, [197, 199], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [76, 1]], [11, [-650, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45035996374368550, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '294.6.a.k', 'level': 294, '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, 3, 7], 'level_radical': 42, 'minimal_twist': '42.6.a.e', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+4q^{2}+9q^{3}+2^{4}q^{4}-76q^{5}+6^{2}q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '294.6.a', 'trace_display': [4, 9, -76, 0], 'trace_hash': 2231901721754940152, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.007', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.971', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.861', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 4, 9, 16, -76, 36, 0, 64, 81, -304, 650, 144, -762, 0, -684, 256, 556, 324, 2452, -1216, 0, 2600, -2950, 576, 2651, -3048, 729, 0, -674, -2736, 3024, 1024, 5850, 2224, 0, 1296, 7730, 9808, -6858, -4864, 17016, 0, 21836, 10400, -6156, -11800, 23940, 2304, 0, 10604, 5004, -12192, 15594, 2916, -49400, 0, 22068, -2696, -5608, -10944, -150, 12096, 0, 4096, 57912, 23400, -43784, 8896, -26550, 0, -39178, 5184, 23570, 30920, 23859, 39232, 0, -27432, -17892, -19456, 6561, 68064, -38972, 0, -42256, 87344, -6066, 41600, -6024, -24624, 0, -47200, 27216, 95760, -186352, 9216, -108430, 0, 52650, 42416, 70424, 20016, 31552, -48768, 0, 62376, 108282, 11664, -72146, -197600, 69570, 0, 220906, 88272, 224200, -10784, -61722, -22432, 0, -43776, 261449, -600, 153144, 48384, 36024, 0, -239652, 16384, 196524, 231648, 274172, 93600, 0, -175136, 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• 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

  
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-0.33856356830489304, -0.3214930811161663, -0.30969519435487636, -0.14073948521534296, -0.3678117528501572, -0.25990176415574157, -0.2617524393346296, -0.312511099432471, -0.20527707578726562, -0.25658279210887164, -0.11204504657151884, -0.2166317199839441, -0.249415629164356, -0.24909719254536508, -0.18460474434919785, -0.22218299203971298, -0.2110261564297914, -0.1783149910905089, -0.32739030309856665, -0.23621681676998346, -0.36720427137777667, -0.21338990838274713, -0.36205410115470565, -0.22458931748685373, -0.37636590143048354, -0.24466992234604093, -0.25920203960749716, -0.4084183022492691, -0.2580489596075336, -0.2708013285144121, -0.21523300440390006, -0.33703682034301247, -0.3040601954841522, -0.39897954338725633, -0.2892193112673634, -0.22546456374694715, -0.21734029385361534, -0.27393212385731297, -0.3188379679360013, -0.1494362575289334, -0.19642997215033525, -0.34544289193175914, -0.21298215337208753, -0.2818227935167964, -0.1584650160956487, -0.1555208469169261, -0.27058291470500884, -0.34435218765825143, -0.3198114890982697, -0.16817589086283116, -0.2965125013685862, -0.3634482552057876, -0.18801541441470102, -0.16401347904918767, -0.20945193019976277, -0.16454261841759327, -0.15407550992865865], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 11, 'hecke_orbit_code': 45035996374368550, 'label': '294.6.a.k.1.1', 'level': 294, 'weight': 6}
• mf_newspaces •

  Column	Type
  ALdims	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

  
  {'ALdims': [3, 5, 4, 4, 4, 4, 3, 6], 'Nk2': 10584, 'analytic_conductor': 47.1528430250163, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [294, 1, [197, 199], [1, 1]], 'conrey_index': 1, 'cusp_dim': 264, 'dim': 33, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11], 'hecke_orbit_code': 100663590, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], 'label': '294.6.a', 'level': 294, '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, 3, 7], 'level_radical': 42, 'mf_dim': 296, 'mf_new_dim': 33, 'num_forms': 23, 'plus_dim': 14, 'prim_orbit_index': 1, 'relative_dim': 33, 'sturm_bound': 336, 'trace_bound': 11, 'trace_display': [4, 9, 22, 0], 'traces': [33, 4, 9, 528, 22, 36, 0, 64, 2673, 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48186266, 10450944, 0, -16265728, -122520708, -31800072, 12757968, -869760, 127264270, 0, 24530688, -9150464, 76485066, 5137920, 61197532, 10788224, 0, 150090432, -66608640, 746496, 115159380, 8540552, -33830901, 0, 125877320, -20395008, 17306696, -55252608, -13255326, -23250048, 0, -43047072, 39193182, 62669760, -11302146, -17836032, -81506814, 0, 27001500, -33339840, -35523000, 110176, -32057832, 21144960, 0, -24389936, -4277772, -10184576, 94755808, 1801656, -64182744, 0, 172458288, -77167704, -2348304, 31657392, 67486812, 47266272, 0, -27711360, 51388796, 11341440, 39714940, -30177216, -28858842, 0, -12324200, 20505600, -20594928, 1288232, 23292900, 27899104, 0, -5021352, -72612704, 13291520, -149276844, -39495432, 42111504, 0, -252712990, 167899616, 1820880, 624640, 7795506, -9035712, 0, -94933984, -50165928, 35655312, -204123000, -5692032, -108772838, 0, -76792554, -140430080, 41983966, 34483464, -121701360, -20710400, 0, -18458240, 7029164, -20248704, -265205348, 29294704, -39753018, 0, 5281962, -5691384, -181702752, -83623296, -18337896, 35656896, 0, 811008, 69234205, -64978416, -44808876, 23420704, -112119220, 0, -22018204, 29504832, -9679896, 87369056, 735132, 944784, 0, 149152992, -4063986, 22160896, 44947082, -37715472, 153638664, 0, -206226, 36377184, 45759384, 22481280, -19181676, 32128688, 0, -31804544, 88032048, -13029984, -33419940, 27353088, 39342852, 0, -18024496, 20874240, 132149038, 161070256, -9980010, -1968384], 'weight': 6, '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: 47144012
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996374368550, 'source_is_minimal': False, 'source_label': '294.6.a.k.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996374368550, 'target_is_minimal': False, 'target_label': '294.6.a.k.1.1', 'target_level': 294, 'twist_class_label': '42.6.a.e.1.1', 'twist_class_level': 42, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 47144013
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996374368550, 'source_is_minimal': False, 'source_label': '294.6.a.k.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396746998642, 'target_is_minimal': False, 'target_label': '882.6.a.j.1.1', 'target_level': 882, 'twist_class_label': '42.6.a.e.1.1', 'twist_class_level': 42, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 47144014
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996374368550, 'source_is_minimal': False, 'source_label': '294.6.a.k.1.1', 'source_level': 294, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007474233311526, 'target_is_minimal': False, 'target_label': '294.6.e.c.67.1', 'target_level': 294, 'twist_class_label': '42.6.a.e.1.1', 'twist_class_level': 42, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 47144015
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996374368550, 'source_is_minimal': False, 'source_label': '294.6.a.k.1.1', 'source_level': 294, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511073860682022, 'target_is_minimal': False, 'target_label': '294.6.e.d.79.1', 'target_level': 294, 'twist_class_label': '42.6.a.e.1.1', 'twist_class_level': 42, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 47144016
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996374368550, 'source_is_minimal': False, 'source_label': '294.6.a.k.1.1', 'source_level': 294, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007474233311526, 'target_is_minimal': False, 'target_label': '294.6.e.c.79.1', 'target_level': 294, 'twist_class_label': '42.6.a.e.1.1', 'twist_class_level': 42, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 6}
  • id: 47144017
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996374368550, 'source_is_minimal': False, 'source_label': '294.6.a.k.1.1', 'source_level': 294, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511073860682022, 'target_is_minimal': False, 'target_label': '294.6.e.d.67.1', 'target_level': 294, 'twist_class_label': '42.6.a.e.1.1', 'twist_class_level': 42, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 6}
  • id: 47144018
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996374368550, 'source_is_minimal': False, 'source_label': '294.6.a.k.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398610145322, 'target_is_minimal': True, 'target_label': '42.6.a.e.1.1', 'target_level': 42, 'twist_class_label': '42.6.a.e.1.1', 'twist_class_level': 42, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 6}
  • id: 47144019
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996374368550, 'source_is_minimal': False, 'source_label': '294.6.a.k.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 100663422, 'target_is_minimal': False, 'target_label': '126.6.a.a.1.1', 'target_level': 126, 'twist_class_label': '42.6.a.e.1.1', 'twist_class_level': 42, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 6}
  • id: 47144020
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996374368550, 'source_is_minimal': False, 'source_label': '294.6.a.k.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 72057594138591568, 'target_is_minimal': False, 'target_label': '336.6.a.q.1.1', 'target_level': 336, 'twist_class_label': '42.6.a.e.1.1', 'twist_class_level': 42, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 6}
  • id: 47144021
    {'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996374368550, 'source_is_minimal': False, 'source_label': '294.6.a.k.1.1', 'source_level': 294, 'target_conrey_index': 799, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525609809118234, 'target_is_minimal': False, 'target_label': '1050.6.g.h.799.1', 'target_level': 1050, 'twist_class_label': '42.6.a.e.1.1', 'twist_class_level': 42, 'twisting_char_label': '35.13', 'twisting_conrey_index': 13, 'weight': 6}
  • id: 47144022
    {'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996374368550, 'source_is_minimal': False, 'source_label': '294.6.a.k.1.1', 'source_level': 294, 'target_conrey_index': 799, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525609809118234, 'target_is_minimal': False, 'target_label': '1050.6.g.h.799.2', 'target_level': 1050, 'twist_class_label': '42.6.a.e.1.1', 'twist_class_level': 42, 'twisting_char_label': '35.27', 'twisting_conrey_index': 27, 'weight': 6}
  • id: 47144023
    {'conductor': 35, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996374368550, 'source_is_minimal': False, 'source_label': '294.6.a.k.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998237516826, 'target_is_minimal': False, 'target_label': '1050.6.a.f.1.1', 'target_level': 1050, 'twist_class_label': '42.6.a.e.1.1', 'twist_class_level': 42, 'twisting_char_label': '35.34', 'twisting_conrey_index': 34, 'weight': 6}
  • id: 47144024
    {'conductor': 84, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996374368550, 'source_is_minimal': False, 'source_label': '294.6.a.k.1.1', 'source_level': 294, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798982775792, 'target_is_minimal': False, 'target_label': '1008.6.a.d.1.1', 'target_level': 1008, 'twist_class_label': '42.6.a.e.1.1', 'twist_class_level': 42, 'twisting_char_label': '84.83', 'twisting_conrey_index': 83, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 658450
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 2}
  • id: 658451
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 3}
  • id: 658452
    {'charpoly_factorization': [[[76, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 5}
  • id: 658453
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 7}
  • id: 658454
    {'charpoly_factorization': [[[-650, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 11}
  • id: 658455
    {'charpoly_factorization': [[[762, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 13}
  • id: 658456
    {'charpoly_factorization': [[[-556, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 17}
  • id: 658457
    {'charpoly_factorization': [[[-2452, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 19}
  • id: 658458
    {'charpoly_factorization': [[[2950, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 23}
  • id: 658459
    {'charpoly_factorization': [[[674, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 29}
  • id: 658460
    {'charpoly_factorization': [[[-3024, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 31}
  • id: 658461
    {'charpoly_factorization': [[[-7730, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 37}
  • id: 658462
    {'charpoly_factorization': [[[-17016, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 41}
  • id: 658463
    {'charpoly_factorization': [[[-21836, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 43}
  • id: 658464
    {'charpoly_factorization': [[[-23940, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 47}
  • id: 658465
    {'charpoly_factorization': [[[-15594, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 53}
  • id: 658466
    {'charpoly_factorization': [[[5608, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 59}
  • id: 658467
    {'charpoly_factorization': [[[150, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 61}
  • id: 658468
    {'charpoly_factorization': [[[43784, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 67}
  • id: 658469
    {'charpoly_factorization': [[[39178, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 71}
  • id: 658470
    {'charpoly_factorization': [[[-23570, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 73}
  • id: 658471
    {'charpoly_factorization': [[[17892, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 79}
  • id: 658472
    {'charpoly_factorization': [[[38972, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 83}
  • id: 658473
    {'charpoly_factorization': [[[6024, 1], 1]], 'hecke_orbit_code': 45035996374368550, 'p': 89}
  • id: 658474
    {'charpoly_factorization': [[[108430, 1], 1]], 'hecke_orbit_code': 45035996374368550, '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': 1, 'hecke_orbit': 11, 'label': '294.6.a.k', 'level': 294, 'portrait': 'data:image/png;base64,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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 55281379
    {'hecke_orbit_code': 45035996374368550, 'n': 1, 'trace_an': 1}
  • id: 55281380
    {'hecke_orbit_code': 45035996374368550, 'n': 2, 'trace_an': 4}
  • id: 55281381
    {'hecke_orbit_code': 45035996374368550, 'n': 3, 'trace_an': 9}
  • id: 55281382
    {'hecke_orbit_code': 45035996374368550, 'n': 4, 'trace_an': 16}
  • id: 55281383
    {'hecke_orbit_code': 45035996374368550, 'n': 5, 'trace_an': -76}
  • id: 55281384
    {'hecke_orbit_code': 45035996374368550, 'n': 6, 'trace_an': 36}
  • id: 55281385
    {'hecke_orbit_code': 45035996374368550, 'n': 7, 'trace_an': 0}
  • id: 55281386
    {'hecke_orbit_code': 45035996374368550, 'n': 8, 'trace_an': 64}
  • id: 55281387
    {'hecke_orbit_code': 45035996374368550, 'n': 9, 'trace_an': 81}
  • id: 55281388
    {'hecke_orbit_code': 45035996374368550, 'n': 10, 'trace_an': -304}
  • id: 55281389
    {'hecke_orbit_code': 45035996374368550, 'n': 11, 'trace_an': 650}
  • id: 55281390
    {'hecke_orbit_code': 45035996374368550, 'n': 12, 'trace_an': 144}
  • id: 55281391
    {'hecke_orbit_code': 45035996374368550, 'n': 13, 'trace_an': -762}
  • id: 55281392
    {'hecke_orbit_code': 45035996374368550, 'n': 14, 'trace_an': 0}
  • id: 55281393
    {'hecke_orbit_code': 45035996374368550, 'n': 15, 'trace_an': -684}
  • id: 55281394
    {'hecke_orbit_code': 45035996374368550, 'n': 16, 'trace_an': 256}
  • id: 55281395
    {'hecke_orbit_code': 45035996374368550, 'n': 17, 'trace_an': 556}
  • id: 55281396
    {'hecke_orbit_code': 45035996374368550, 'n': 18, 'trace_an': 324}
  • id: 55281397
    {'hecke_orbit_code': 45035996374368550, 'n': 19, 'trace_an': 2452}
  • id: 55281398
    {'hecke_orbit_code': 45035996374368550, 'n': 20, 'trace_an': -1216}
  • id: 55281399
    {'hecke_orbit_code': 45035996374368550, 'n': 21, 'trace_an': 0}
  • id: 55281400
    {'hecke_orbit_code': 45035996374368550, 'n': 22, 'trace_an': 2600}
  • id: 55281401
    {'hecke_orbit_code': 45035996374368550, 'n': 23, 'trace_an': -2950}
  • id: 55281402
    {'hecke_orbit_code': 45035996374368550, 'n': 24, 'trace_an': 576}
  • id: 55281403
    {'hecke_orbit_code': 45035996374368550, 'n': 25, 'trace_an': 2651}
  • id: 55281404
    {'hecke_orbit_code': 45035996374368550, 'n': 26, 'trace_an': -3048}
  • id: 55281405
    {'hecke_orbit_code': 45035996374368550, 'n': 27, 'trace_an': 729}
  • id: 55281406
    {'hecke_orbit_code': 45035996374368550, 'n': 28, 'trace_an': 0}
  • id: 55281407
    {'hecke_orbit_code': 45035996374368550, 'n': 29, 'trace_an': -674}
  • id: 55281408
    {'hecke_orbit_code': 45035996374368550, 'n': 30, 'trace_an': -2736}
  • id: 55281409
    {'hecke_orbit_code': 45035996374368550, 'n': 31, 'trace_an': 3024}
  • id: 55281410
    {'hecke_orbit_code': 45035996374368550, 'n': 32, 'trace_an': 1024}
  • id: 55281411
    {'hecke_orbit_code': 45035996374368550, 'n': 33, 'trace_an': 5850}
  • id: 55281412
    {'hecke_orbit_code': 45035996374368550, 'n': 34, 'trace_an': 2224}
  • id: 55281413
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  • id: 55281603
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  • id: 55281604
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  • id: 55281605
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  • id: 55281606
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  • id: 55281607
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  • id: 55281608
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  • id: 55281609
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  • id: 55281610
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  • id: 55281611
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  • id: 55281612
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  • id: 55281613
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  • id: 55281614
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  • id: 55281615
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  • id: 55281616
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  • id: 55281617
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  • id: 55281618
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  • id: 55281619
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  • id: 55281620
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  • id: 55281621
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  • id: 55281622
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  • id: 55281623
    {'hecke_orbit_code': 45035996374368550, 'n': 911, 'trace_an': 27250902}
  • id: 55281624
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  • id: 55281625
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  • id: 55281626
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  • id: 55281627
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  • id: 55281628
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  • id: 55281629
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  • id: 55281630
    {'hecke_orbit_code': 45035996374368550, 'n': 961, 'trace_an': -19484575}
  • id: 55281631
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  • id: 55281632
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  • id: 55281633
    {'hecke_orbit_code': 45035996374368550, 'n': 977, 'trace_an': 30693006}
  • id: 55281634
    {'hecke_orbit_code': 45035996374368550, 'n': 983, 'trace_an': 15270576}
  • id: 55281635
    {'hecke_orbit_code': 45035996374368550, 'n': 991, 'trace_an': 31627928}
  • id: 55281636
    {'hecke_orbit_code': 45035996374368550, 'n': 997, 'trace_an': 35584234}