Embedded newform data - 143.4.e.b.100.11

Formats: - HTML - YAML - JSON - 2024-06-07T03:00:38.177890

• 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': 2288, 'analytic_conductor': 8.437273130820907, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 13, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 3, 'char_parity': 1, 'char_values': [143, 3, [79, 67], [3, 2]], 'cm_discs': [], 'conrey_index': 100, 'dim': 34, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [4887141433344, -11530665639936, 34295952153600, -37110071356416, 71625377570112, -50821929414528, 99799808186064, -44265573444720, 84516548328988, -20218929431654, 51540959896427, -6352692062437, 20646163868740, -1046388194627, 6010338804828, -106745383824, 1196485315001, -2572280012, 177061504738, 918313337, 19365626122, 190076979, 1630214966, 17996020, 104327879, 1106448, 5161774, 43431, 190322, 1057, 5200, 14, 93, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503874572386447, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 13, 3, 1, 3, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '143.4.e.b', 'level': 143, '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': True, 'level_primes': [11, 13], 'level_radical': 143, 'minimal_twist': '143.4.e.b', 'prim_orbit_index': 3, 'related_objects': [], 'relative_dim': 17, 'rm_discs': [], 'sato_tate_group': '3.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '143.4.e', 'trace_display': [0, 6, -48, 62], 'traces': [34, 0, 6, -50, -48, -16, 62, -42, -135, -2, -187, -254, 76, 0, 148, -126, 74, 180, 159, 222, -368, 0, 215, -214, 190, 123, -384, 358, 157, -829, -788, 553, 66, -1404, -58, 700, -88, -2636, 798, 1466, 512, -337, -927, 1100, 1482, 1361, -286, 178, -1835, 583, -1136, 2306, 212, 67, 264, -2059, 2596, 1690, 266, 74, 624, -643, 2360, -3178, 470, 352, 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39688, -7821, 62352, 119610, 13304, -44232, 27034, -29942, -45054, 17430, 2724, 48891, 10096, 74044, -37360, 35789, -50416, 24228, 1573, -93541, 57360, -79961, -80832, -35597, 35393, -77052, -47688, 25036, -45598, -3916, -24496, -88385, 21104, -94078, 28656, -44938, -34274, 9037, 2094, -26996, -20185, -26248, -164694, -104355, 51800, -31337, 53736, 16394, 41770, -66507, 15168, 6413, 24782, -28921, 15788, 18170, 128570, 29760, 11845, -3626, 50721, 41908, 6248, 22435, -25706, 96862, -82592, -82900, -54932, -89746, 54578, -38178, 154884, 2233, -42640, -13255, -4141, 21611, 51934, -42442, -19118, 100244, 59214, -1990, -1166, 107404, 65396, -58362, 21276, 35717, 38340, 117950, -36036, -99242, -79508, 737, -9426, -89108, 137576, -23097, -119722, -94470, -16836, 33039, -12, 1896, 2904, 221678, 87210, 14672, -29084, -7892, -102396, -2976, -16780, 36278, -38326, 45298, -78283, -107065, -140364, -68870, 39322, -66670, 240416, 27710, -70414, -85212, -14278, 123559, -71004, -98155, 38251, -29856, 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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

  
  {'an_normalized': [[1.0, 0.0], [0.18887322575277551, -0.3271380231932337], [0.947920409368092, -1.6418463105570245], [0.4286538091874822, 0.742450176370654], [0.21102131734315605, 0.0], [-0.358073570948486, -0.6202016177303968], [-0.330733989629793, -0.5728480738287597], [0.7015913621953689, 0.0], [-1.297106204993142, -2.2466538498609734], [0.039856276909201994, -0.06903309660727211], [-0.15075567228888181, 0.26111648393354675], [1.6253187771287605, 0.0], [0.8347952872079168, -0.5505604675741363], [-0.24986718194985602, 0.0], [0.20003141352131854, -0.3464645713287438], [-0.296141985449359, 0.512932965052613], [0.1513180259533633, 0.26209050905225123], [-0.9799545323239826, 0.0], [0.20118963788922195, 0.34847067478051685], [0.09045509149890434, 0.15667281427939395], [-1.2540379953672627, 0.0], [0.05694742025145883, 0.09863582523550352], [0.5043952117802292, -0.8736381338978209], [0.6650527712613514, -1.1519051895391434], [-0.955470003626759, 0.0], [-0.022438784272371465, -0.3770794115109092], [-3.022372960587782, 0.0], [0.283540768965168, -0.4911070178648197], [-0.6812368349714366, 1.1799368101579428], [-0.07556115664731756, -0.13087576239182483], [1.028662662517877, 0.0], [0.46266226524298837, 0.8013545501457641], [0.2858087571812775, 0.49503528868608887], [0.11431969470541571, 0.0], [-0.06979192218183662, -0.12088315517683437], [1.112019031382059, -1.9260734613372559], [-0.40374274015906986, 0.6993029391425883], [0.1519973435846807, 0.0], [-0.11261618203646366, -1.8924930661774733], [0.1480507334870461, 0.0], [0.3457844825672464, -0.5989162922753856], [-0.23685420140155902, 0.41024351081365185], [0.6470079640901409, 1.1206506667058238], [-0.2584879727329958, 0.0], [-0.27371706011163466, -0.47409185501173573], [-0.19053350140637249, -0.33001370497983323], [0.5588834561670334, 0.0], [0.5614380641564718, 0.9724392524221241], [0.28123005620712, -0.4871047459661829], [-0.1804627016950021, 0.3125705682068898], [0.5737497804259348, 0.0], [0.766601896006559, 0.38379406660721377], [-0.7530850224938938, 0.0], [-0.5708453304941806, 0.9887331156793682], [-0.03181266056335297, 0.055101144419670074], [-0.2320401103086755, -0.40190526044851277], [0.7628470556342778, 0.0], [0.25733479704533285, 0.4457169430379419], [0.3948081365411851, 0.6838277517309231], [0.3429769094522785, 0.0], [0.5986527683892363, 1.0368970109419207], [0.1942868352811901, -0.33651466994878676], [-0.857994220301884, 1.4860895821633073], [-0.24274591301660023, 0.0], [0.1761596012184729, -0.1161799951445582], [0.2159264876688785, 0.0], [-0.9867442438916133, 1.7090911644964102], [-0.12972609644727895, 0.22469219011426755], [-0.9562530312680405, -1.6562788350479964], [-0.05272730189588068, 0.0], [-0.7355056634814714, -1.2739331784045653], [-0.910038509273204, -1.5762329349054303], [1.1374182403109565, 0.0], [0.15251238741621637, 0.26415920378851504], [-0.9057095169768097, 1.568734900302501], [-0.17248140930053035, 0.29874656426960167], [0.19944009982169403, 0.0], 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-0.25213037154628937, -0.07150495639003614, -0.44192637675961505, -0.20112877967832102, -0.3799723426130645, 0.2423104501972336, -0.4102127538222195, -0.4108852077367275, 0.1752426547599176, 0.007355983464706323, -0.23226757206551224, -0.07498949958767485, 0.011836774747421007, -0.0327553601184397, -0.3731008935949557, -0.26072514801964936, -0.48989140181377977, -0.02363440054023529, -0.22515663848657072, -0.33752988829855485, -0.06706251983742273, -0.3376903740530932, -0.09095308586468678, -0.2709494838056888, -0.17217823848002548, 0.060486486197158525, -0.37490116284793934, -0.13616236712634666, -0.40250676603453056, -0.3861406954820805, -0.09434133294936495, -0.061818897250549315, -0.03426027021057457, -0.2816775919133643, -0.4204728353795224, -0.44520662449639736, -0.06982664312267309, -0.30415690659912936, -0.08101695831242334, -0.3846946880568429, -0.17962000738549463, -0.22421240451286828, -0.034975417958141894], 'char_orbit_index': 5, 'conrey_index': 100, 'dual_conrey_index': 133, 'dual_embedding_index': 11, 'dual_embedding_m': 28, 'embedding_index': 11, 'embedding_m': 11, 'hecke_orbit': 2, 'hecke_orbit_code': 4503874572386447, 'label': '143.4.e.b.100.11', 'level': 143, 'weight': 4}
• 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

  
  {'Nk2': 2288, 'analytic_conductor': 8.437273130820907, 'char_conductor': 13, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 3, 'char_parity': 1, 'char_values': [143, 3, [79, 67], [3, 2]], 'conrey_index': 100, 'cusp_dim': 80, 'dim': 68, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 274945015951, 'hecke_orbit_dims': [34, 34], 'label': '143.4.e', 'level': 143, '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': True, 'level_primes': [11, 13], 'level_radical': 143, 'mf_dim': 88, 'mf_new_dim': 68, 'num_forms': 2, 'prim_orbit_index': 3, 'relative_dim': 34, 'sturm_bound': 56, 'trace_bound': 2, 'trace_display': [-4, 12, -16, 68], 'traces': [68, -4, 12, -128, -16, -30, 68, 84, -270, -4, 0, -444, 16, -120, 176, -476, -44, 1136, -244, 124, 72, 44, 430, -240, 828, -866, -1152, 754, 164, 440, 576, 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• 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: 35128136
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 100, 'source_dim': 34, 'source_embedding_index': 11, 'source_hecke_orbit_code': 4503874572386447, 'source_is_minimal': True, 'source_label': '143.4.e.b.100.11', 'source_level': 143, 'target_conrey_index': 100, 'target_dim': 34, 'target_embedding_index': 11, 'target_hecke_orbit_code': 4503874572386447, 'target_is_minimal': True, 'target_label': '143.4.e.b.100.11', 'target_level': 143, 'twist_class_label': '143.4.e.b.100.11', 'twist_class_level': 143, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 35128137
    {'conductor': 13, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 100, 'source_dim': 34, 'source_embedding_index': 11, 'source_hecke_orbit_code': 4503874572386447, 'source_is_minimal': True, 'source_label': '143.4.e.b.100.11', 'source_level': 143, 'target_conrey_index': 133, 'target_dim': 34, 'target_embedding_index': 11, 'target_hecke_orbit_code': 4503874572386447, 'target_is_minimal': True, 'target_label': '143.4.e.b.133.11', 'target_level': 143, 'twist_class_label': '143.4.e.b.100.11', 'twist_class_level': 143, 'twisting_char_label': '13.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 35128138
    {'conductor': 13, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 100, 'source_dim': 34, 'source_embedding_index': 11, 'source_hecke_orbit_code': 4503874572386447, 'source_is_minimal': True, 'source_label': '143.4.e.b.100.11', 'source_level': 143, 'target_conrey_index': 1, 'target_dim': 17, 'target_embedding_index': 11, 'target_hecke_orbit_code': 31525197458704195, 'target_is_minimal': False, 'target_label': '1859.4.a.h.1.11', 'target_level': 1859, 'twist_class_label': '143.4.e.b.100.11', 'twist_class_level': 143, 'twisting_char_label': '13.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 35128139
    {'conductor': 13, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 100, 'source_dim': 34, 'source_embedding_index': 11, 'source_hecke_orbit_code': 4503874572386447, 'source_is_minimal': True, 'source_label': '143.4.e.b.100.11', 'source_level': 143, 'target_conrey_index': 1, 'target_dim': 17, 'target_embedding_index': 7, 'target_hecke_orbit_code': 27021597831333699, 'target_is_minimal': False, 'target_label': '1859.4.a.g.1.7', 'target_level': 1859, 'twist_class_label': '143.4.e.b.100.11', 'twist_class_level': 143, 'twisting_char_label': '13.9', 'twisting_conrey_index': 9, 'weight': 4}
• hecke_orbit_code 4503874572386447 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': 5, 'hecke_orbit': 2, 'label': '143.4.e.b', 'level': 143, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 22186171
    {'hecke_orbit_code': 4503874572386447, 'n': 1, 'trace_an': 34}
  • id: 22186172
    {'hecke_orbit_code': 4503874572386447, 'n': 2, 'trace_an': 0}
  • id: 22186173
    {'hecke_orbit_code': 4503874572386447, 'n': 3, 'trace_an': 6}
  • id: 22186174
    {'hecke_orbit_code': 4503874572386447, 'n': 4, 'trace_an': -50}
  • id: 22186175
    {'hecke_orbit_code': 4503874572386447, 'n': 5, 'trace_an': -48}
  • id: 22186176
    {'hecke_orbit_code': 4503874572386447, 'n': 6, 'trace_an': -16}
  • id: 22186177
    {'hecke_orbit_code': 4503874572386447, 'n': 7, 'trace_an': 62}
  • id: 22186178
    {'hecke_orbit_code': 4503874572386447, 'n': 8, 'trace_an': -42}
  • id: 22186179
    {'hecke_orbit_code': 4503874572386447, 'n': 9, 'trace_an': -135}
  • id: 22186180
    {'hecke_orbit_code': 4503874572386447, 'n': 10, 'trace_an': -2}
  • id: 22186181
    {'hecke_orbit_code': 4503874572386447, 'n': 11, 'trace_an': -187}
  • id: 22186182
    {'hecke_orbit_code': 4503874572386447, 'n': 12, 'trace_an': -254}
  • id: 22186183
    {'hecke_orbit_code': 4503874572386447, 'n': 13, 'trace_an': 76}
  • id: 22186184
    {'hecke_orbit_code': 4503874572386447, 'n': 14, 'trace_an': 0}
  • id: 22186185
    {'hecke_orbit_code': 4503874572386447, 'n': 15, 'trace_an': 148}
  • id: 22186186
    {'hecke_orbit_code': 4503874572386447, 'n': 16, 'trace_an': -126}
  • id: 22186187
    {'hecke_orbit_code': 4503874572386447, 'n': 17, 'trace_an': 74}
  • id: 22186188
    {'hecke_orbit_code': 4503874572386447, 'n': 18, 'trace_an': 180}
  • id: 22186189
    {'hecke_orbit_code': 4503874572386447, 'n': 19, 'trace_an': 159}
  • id: 22186190
    {'hecke_orbit_code': 4503874572386447, 'n': 20, 'trace_an': 222}
  • id: 22186191
    {'hecke_orbit_code': 4503874572386447, 'n': 21, 'trace_an': -368}
  • id: 22186192
    {'hecke_orbit_code': 4503874572386447, 'n': 22, 'trace_an': 0}
  • id: 22186193
    {'hecke_orbit_code': 4503874572386447, 'n': 23, 'trace_an': 215}
  • id: 22186194
    {'hecke_orbit_code': 4503874572386447, 'n': 24, 'trace_an': -214}
  • id: 22186195
    {'hecke_orbit_code': 4503874572386447, 'n': 25, 'trace_an': 190}
  • id: 22186196
    {'hecke_orbit_code': 4503874572386447, 'n': 26, 'trace_an': 123}
  • id: 22186197
    {'hecke_orbit_code': 4503874572386447, 'n': 27, 'trace_an': -384}
  • id: 22186198
    {'hecke_orbit_code': 4503874572386447, 'n': 28, 'trace_an': 358}
  • id: 22186199
    {'hecke_orbit_code': 4503874572386447, 'n': 29, 'trace_an': 157}
  • id: 22186200
    {'hecke_orbit_code': 4503874572386447, 'n': 30, 'trace_an': -829}
  • id: 22186201
    {'hecke_orbit_code': 4503874572386447, 'n': 31, 'trace_an': -788}
  • id: 22186202
    {'hecke_orbit_code': 4503874572386447, 'n': 32, 'trace_an': 553}
  • id: 22186203
    {'hecke_orbit_code': 4503874572386447, 'n': 33, 'trace_an': 66}
  • id: 22186204
    {'hecke_orbit_code': 4503874572386447, 'n': 34, 'trace_an': -1404}
  • id: 22186205
    {'hecke_orbit_code': 4503874572386447, 'n': 35, 'trace_an': -58}
  • id: 22186206
    {'hecke_orbit_code': 4503874572386447, 'n': 36, 'trace_an': 700}
  • id: 22186207
    {'hecke_orbit_code': 4503874572386447, 'n': 37, 'trace_an': -88}
  • id: 22186208
    {'hecke_orbit_code': 4503874572386447, 'n': 38, 'trace_an': -2636}
  • id: 22186209
    {'hecke_orbit_code': 4503874572386447, 'n': 39, 'trace_an': 798}
  • id: 22186210
    {'hecke_orbit_code': 4503874572386447, 'n': 40, 'trace_an': 1466}
  • id: 22186211
    {'hecke_orbit_code': 4503874572386447, 'n': 41, 'trace_an': 512}
  • id: 22186212
    {'hecke_orbit_code': 4503874572386447, 'n': 42, 'trace_an': -337}
  • id: 22186213
    {'hecke_orbit_code': 4503874572386447, 'n': 43, 'trace_an': -927}
  • id: 22186214
    {'hecke_orbit_code': 4503874572386447, 'n': 44, 'trace_an': 1100}
  • id: 22186215
    {'hecke_orbit_code': 4503874572386447, 'n': 45, 'trace_an': 1482}
  • id: 22186216
    {'hecke_orbit_code': 4503874572386447, 'n': 46, 'trace_an': 1361}
  • id: 22186217
    {'hecke_orbit_code': 4503874572386447, 'n': 47, 'trace_an': -286}
  • id: 22186218
    {'hecke_orbit_code': 4503874572386447, 'n': 48, 'trace_an': 178}
  • id: 22186219
    {'hecke_orbit_code': 4503874572386447, 'n': 49, 'trace_an': -1835}
  • id: 22186220
    {'hecke_orbit_code': 4503874572386447, 'n': 50, 'trace_an': 583}
  • id: 22186221
    {'hecke_orbit_code': 4503874572386447, 'n': 51, 'trace_an': -1136}
  • id: 22186222
    {'hecke_orbit_code': 4503874572386447, 'n': 52, 'trace_an': 2306}
  • id: 22186223
    {'hecke_orbit_code': 4503874572386447, 'n': 53, 'trace_an': 212}
  • id: 22186224
    {'hecke_orbit_code': 4503874572386447, 'n': 54, 'trace_an': 67}
  • id: 22186225
    {'hecke_orbit_code': 4503874572386447, 'n': 55, 'trace_an': 264}
  • id: 22186226
    {'hecke_orbit_code': 4503874572386447, 'n': 56, 'trace_an': -2059}
  • id: 22186227
    {'hecke_orbit_code': 4503874572386447, 'n': 57, 'trace_an': 2596}
  • id: 22186228
    {'hecke_orbit_code': 4503874572386447, 'n': 58, 'trace_an': 1690}
  • id: 22186229
    {'hecke_orbit_code': 4503874572386447, 'n': 59, 'trace_an': 266}
  • id: 22186230
    {'hecke_orbit_code': 4503874572386447, 'n': 60, 'trace_an': 74}
  • id: 22186231
    {'hecke_orbit_code': 4503874572386447, 'n': 61, 'trace_an': 624}
  • id: 22186232
    {'hecke_orbit_code': 4503874572386447, 'n': 62, 'trace_an': -643}
  • id: 22186233
    {'hecke_orbit_code': 4503874572386447, 'n': 63, 'trace_an': 2360}
  • id: 22186234
    {'hecke_orbit_code': 4503874572386447, 'n': 64, 'trace_an': -3178}
  • id: 22186235
    {'hecke_orbit_code': 4503874572386447, 'n': 65, 'trace_an': 470}
  • id: 22186236
    {'hecke_orbit_code': 4503874572386447, 'n': 66, 'trace_an': 352}
  • id: 22186237
    {'hecke_orbit_code': 4503874572386447, 'n': 67, 'trace_an': 676}
  • id: 22186238
    {'hecke_orbit_code': 4503874572386447, 'n': 68, 'trace_an': 413}
  • id: 22186239
    {'hecke_orbit_code': 4503874572386447, 'n': 69, 'trace_an': -764}
  • id: 22186240
    {'hecke_orbit_code': 4503874572386447, 'n': 70, 'trace_an': -2122}
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