Embedded newform data - 238.2.a.b.1.1

Formats: - HTML - YAML - JSON - 2026-09-10T03:49:16.315775

• 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': 952, 'analytic_conductor': 1.9004395681064732, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [7, -1], [17, 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': [238, 1, [171, 71], [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': [[3, [-2, 1]], [5, [-4, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660925166, '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': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '238.2.a.b', 'level': 238, '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': [2, 7, 17], 'level_radical': 238, 'minimal_twist': '238.2.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}+2q^{3}+q^{4}+4q^{5}-2q^{6}+q^{7}+\\cdots', 'related_objects': ['EllipticCurve/Q/238/b'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '238.2.a', 'trace_display': [-1, 2, 4, 1], 'trace_hash': 2281088171825403304, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.004', 'prec': 4}, {'__RealLiteral__': 0, 'data': '0.999', 'prec': 10}, {'__RealLiteral__': 0, 'data': '0.045', 'prec': 7}, {'__RealLiteral__': 0, 'data': '2.037', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.180', 'prec': 10}, {'__RealLiteral__': 0, 'data': '5.195', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.025', 'prec': 7}, 'traces': [1, -1, 2, 1, 4, -2, 1, -1, 1, -4, -4, 2, -4, -1, 8, 1, -1, -1, -6, 4, 2, 4, 0, -2, 11, 4, -4, 1, 6, -8, 4, -1, -8, 1, 4, 1, -10, 6, -8, -4, 6, -2, 0, -4, 4, 0, 4, 2, 1, -11, -2, -4, 14, 4, -16, -1, -12, -6, -6, 8, -12, -4, 1, 1, -16, 8, 4, -1, 0, -4, -8, -1, 2, 10, 22, -6, -4, 8, 0, 4, -11, -6, 10, 2, -4, 0, 12, 4, 10, -4, -4, 0, 8, -4, -24, -2, 6, -1, -4, 11, 16, 2, -4, 4, 8, -14, 0, -4, -2, 16, -20, 1, 14, 12, 0, 6, -4, 6, -1, -8, 5, 12, 12, 4, 24, -1, -8, -1, 0, 16, -18, -8, -6, -4, -16, 1, 2, 0, 10, 4, 8, 8, 16, 1, 24, -2, 2, -10, -2, -22, -16, 6, -1, 4, 16, -8, 4, 0, 28, -4, 0, 11, 4, 6, -32, -10, -20, -2, 3, 4, -6, 0, -8, -12, 11, -4, -12, -10, -12, 4, 0, 4, -24, 0, -40, -8, 4, 4, -4, 24, -24, 2, -2, -6, -32, 1, 2, 4, 28, -11, 8, -16, 6, -2, 24, 4, 0, -4, 24, -8, -8, 14, -16, 0, 0, 4, 4, 2, 4, -16, 4, 20, 24, -1, 11, -14, -2, -12, -28, 0, -8, -6, 26, 4, 16, -6, 0, 1, -8, 8, -2, -5, -10, -12, 4, -12, 24, -4, 20, -24, 14, 1, 0, 8, -8, 1, -6, 0, -10, -16, 6, 18, 24, 8, 56, 6, 20, 4, -24, 16, 0, -1, -8, -2, -44, 0, 18, -10, 4, -4, -6, -8, 14, -8, -48, -16, 6, -1, 1, -24, 12, 2, 0, -2, -24, 10, 16, 2, 0, 22, 0, 16, 32, -6, -48, 1, 10, -4, -8, -16, 8, 8, 6, -4, 4, 0, -22, -28, -24, 4, 0, 0, 6, -11, -44, -4, -4, -6, 4, 32, 0, 10, -10, 20, 16, 2, 22, -3, 28, -4, -16, 6, 1, 0, 0, 8, 12, 12, 20, -11, 16, 4, 26, 12, -32, 10, -2, 12, 24, -4, 17, 0, 10, -4, 8, 24, -24, 0, 6, 40, 14, 8, -10, -4, 48, -4, -24, 4, -4, -24, -16, 24, 4, -2, -16, 2, 0, 6, -30, 32, 0, -1, -36, -2, 0, -4, -16, -28, -12, 11, -18, -8, -16, 16, -44, -6, 40, 2, -26, -24, 4, -4, -6, 0, 40, 4, 20, -24, 18, 8, -18, 8, 4, -14, -11, 16, -12, 0, 32, 0, -8, -4, -34, -4, 48, -2, 0, -4, 40, 16, 1, -4, 12, -20, 40, -24, -4, 1, 10, -11, -24, 14, -32, 2, -16, 12, 22, 28, 4, 0, -20, 8, -40, 6, 32, -26, 18, -4, 4, -16, 8, 6, 0, 0, -66, -1, 14, 8, 4, -8, 40, 2, 0, 5, 24, 10, -32, 12, 8, -4, -28, 12, -6, -24, -16, 4, -8, -20, -24, 24, -40, -14, -16, -1, 64, 0, 6, -8, 12, 8, 2, -1, 24, 6, -16, 0, -16, 10, -16, 16, 14, -6, 34, -18, 22, -24, -4, -8, -23, -56, -6, -6, -24, -20, 0, -4, -24, 24, -4, -16, 26, 0, 0, 1, -8, 8, -4, 2, -12, 44, -36, 0, 0, -18, -80, 10, -18, -4, 0, 4, 8, 6, 14, 8, 56, -14, -11, 8, -26, 48, 36, 16, -48, -6, 0, 1, -22, -1, -4, 24, 10, -12, -56, -2, -16, 0, -18, 2, -24, 24, 4, -10, -6, -16, -4, -2, 56, 0, 32, -22, 2, 0, 4, -16, 20, -32, 16, 6, 12, 48, -16, -1, -14, -10, 48, 4, 14, 8, -26, 16, 0, -8, 10, -8, 41, -6, 48, 4, 10, -4, 16, 0, -16, 22, -32, 28, -4, 24, -8, -4, -18, 0, 34, 0, 0, -6, 36, 11, 24, 44, 8, 4, 14, 4, -72, 6, 2, -4, -24, -32, 24, 0, 8, -10, -24, 10, 0, -20, 48, -16, 48, -2, -30, -22, -44, 3, 16, -28, 6, 4, -4, 16, -16, -6, 8, -1, -56, 0, -56, 0, 6, -8, -4, -12, 40, -12, -6, -20, 52, 11, 42, -16, 60, -4, 32, -26, 16, -12, -2, 32, 0, -10, 0, 2, 64, -12, -16, -24, 36, 4, -4, -17, -4, 0, 66, -10, 12, 4, 13, -8, 0, -24, -24, 24, 8, 0, -16, -6, 0, -40, 48, -14, -48, -8, -8, 10, 10, 4, 0, -48, -40, 4, 28, 24, -64, -4, -30, 4, 0, 24, -10, 16, -2, -24, -4, -4, 24, 2, -26, 16, -12, -2, 32, 0, 44, -6, -20, 30, -36, -32, 32, 0, -24, 1, 16, 36, -10, 2, 48, 0, 14, 4, 48, 16, 112, 28, -28, 12, -4, -11, 10, 18, -8, 8, 0, 16, -48, -16, -26, 44, -26, 6, 0, -40, 16, -2, 0, 26, -4, 24, -54, -4, 32, 4, -88, 6, -8, 0, 16, -40, 36, -4, -1, -20, -80, 24, -16, -18, 52, -8, 7, 18, -12, -8, 12, -4, 5, 14, 28, 11, 0, -16, 16, 12, -24, 0, 30, -32, 30, 0, 12, 8, 16, 4, -32, 34, 2, 4, 0, -48, -16, 2, 6, 0, 24, 4, -26, -40, 0, -16, 50, -1, -4, 4, -48, -12, -12, 20, -8, -40, 44, 24, -24, 4, -48, -1, 0, -10, 24, 11, -14, 24, 0, -14, 0, 32, -8, -2, 16, 16, -24, -12, -40, -22, -96, -28, -18, -4, -8, 0, 20, 20, 32, -8, -110, 40, -4, -6, -50, -32, -6, 26, 16, -18, 16, 4, 10, -4, 12, 16, -12, -8, 0, -6, -16, 0, -4, 0, -8, 66, -44, 1, 26, -14, -96, -8, -48, -4, 2, 8, -15, -40, 0, -2, -8, 0, 32, -5, 12, -24, 10, -10, 10, 32, -88, -12, -54, -8, -40, 4, -2, 28, -28, -12, 8, 6, 8, 24, 0, 16, -24, -4, 0, 8, 112, 20, -28, 24, 40, -24], '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], [-0.7071067811865476, 0.0], [1.1547005383792515, 0.0], [0.5, 0.0], [1.7888543819998317, 0.0], [-0.816496580927726, 0.0], [0.37796447300922725, 0.0], [-0.3535533905932738, 0.0], [0.3333333333333333, 0.0], [-1.2649110640673518, 0.0], [-1.2060453783110545, 0.0], [0.5773502691896257, 0.0], [-1.1094003924504583, 0.0], [-0.2672612419124244, 0.0], [2.0655911179772892, 0.0], [0.25, 0.0], [-0.24253562503633297, 0.0], [-0.23570226039551584, 0.0], [-1.3764944032233706, 0.0], [0.8944271909999159, 0.0], [0.4364357804719848, 0.0], [0.8528028654224418, 0.0], [0.0, 0.0], [-0.408248290463863, 0.0], [2.2, 0.0], [0.7844645405527362, 0.0], [-0.769800358919501, 0.0], [0.18898223650461363, 0.0], [1.1141720290623112, 0.0], [-1.4605934866804429, 0.0], [0.7184212081070996, 0.0], [-0.1767766952966369, 0.0], [-1.3926212476455828, 0.0], [0.17149858514250885, 0.0], [0.6761234037828132, 0.0], [0.16666666666666666, 0.0], [-1.643989873053573, 0.0], [0.9733285267845753, 0.0], [-1.281025230440697, 0.0], [-0.6324555320336759, 0.0], [0.9370425713316364, 0.0], [-0.3086066999241838, 0.0], [0.0, 0.0], [-0.6030226891555273, 0.0], [0.5962847939999439, 0.0], [0.0, 0.0], [0.5834599659915782, 0.0], [0.28867513459481287, 0.0], [0.14285714285714285, 0.0], [-1.5556349186104046, 0.0], [-0.28005601680560194, 0.0], [-0.5547001962252291, 0.0], [1.9230478952816463, 0.0], [0.5443310539518174, 0.0], [-2.157439559882375, 0.0], [-0.1336306209562122, 0.0], [-1.5894388284780525, 0.0], [-0.7878385971583354, 0.0], [-0.7811334658849433, 0.0], [1.0327955589886446, 0.0], [-1.5364425591947517, 0.0], [-0.508000508000762, 0.0], [0.12598815766974242, 0.0], [0.125, 0.0], [-1.9845557534273353, 0.0], [0.9847319278346619, 0.0], [0.4886777774252209, 0.0], [-0.12126781251816648, 0.0], [0.0, 0.0], [-0.47809144373375745, 0.0], [-0.9494253265550827, 0.0], [-0.11785113019775792, 0.0], [0.23408229439226114, 0.0], [1.1624763874381927, 0.0], [2.5403411844343533, 0.0], [-0.6882472016116853, 0.0], [-0.4558423058385518, 0.0], [0.9058216273156766, 0.0], [0.0, 0.0], [0.4472135954999579, 0.0], [-1.2222222222222223, 0.0], [-0.6625891564490792, 0.0], [1.0976425998969035, 0.0], [0.2182178902359924, 0.0], [-0.4338609156373123, 0.0], [0.0, 0.0], [1.2865350418053538, 0.0], [0.4264014327112209, 0.0], [1.05999788000636, 0.0], [-0.4216370213557839, 0.0], [-0.4193139346887673, 0.0], [0.0, 0.0], [0.8295613557843402, 0.0], [-0.41256849850351734, 0.0], [-2.46234804500437, 0.0], [-0.2041241452319315, 0.0], [0.6092076990801715, 0.0], [-0.10101525445522108, 0.0], [-0.40201512610368484, 0.0], [1.1, 0.0]], 'angles': [None, -0.1520433619923482, -0.07379180882521663, None, -0.3530185831501773, -0.34358352090549943, None, -0.3708097759585889, -0.25, -0.15595968107605412, -0.19152298767951967, -0.40356943346125496, -0.17239346463999347, -0.25, -0.20288456666214, -0.044292766391452375, -0.3138604660378024, -0.38942896918815223, -0.21071453476893873, -0.32872400892627135, -0.23132952961286263, -0.25, -0.15753837015099914, -0.16109615775532363, -0.2007379662762514, -0.10346492556217002, -0.28157064017587025, -0.25, -0.2652676848462628, -0.1355946523174732, -0.30774979649998657, -0.3940116485037234, -0.23638587898776947, -0.18029622377113905, -0.2630531096232495, -0.36283156234148883, -0.224486977462348, -0.2249649315569011, -0.3908290674011572, -0.29918025037941265, -0.32401386020071266, -0.25, -0.41739021040699437, -0.26146613973475746, -0.2386510645000698, -0.019590769520170893, -0.2944004049756011, -0.10146309512422147, -0.26057125586654095, -0.4380288527185942, -0.0877986173506914, -0.2916533939604434, -0.2602591743453657, -0.17716364110382432, -0.27996006893958214, -0.11742416321093707, -0.38062539763334524, -0.25, -0.15906881591081223, -0.2786374432048331, -0.18169711983024547, -0.25, -0.20394257786048536, -0.21358367715799884, -0.22288105447121462, -0.35599229607602517, -0.25, -0.14774108648195738, -0.19780615952364755, -0.16010159307963023, -0.1283824974154549, -0.14084260793355585, -0.3577351191234588, -0.29167838870860985, -0.2663793787853585, -0.2337066793644666, -0.3875304460337181, -0.3157569873157937, -0.32418796601821837, -0.3611154782521778, -0.17754614633772992, -0.322268621966347, -0.2808578654201711, -0.4021733528661314, -0.04816935808420807, -0.20399180735220407, -0.21208753108089975, -0.16397795696455306, -0.32710705722516675, -0.4398714403028833, -0.18163348756924197, -0.2354357315269085, -0.3790868821441955, -0.3588440918269227, -0.34025780737110833, -0.30804948558239353, -0.20715796754876611, -0.20039167075553252, -0.11661593009033791, -0.15560915844054557], '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': 2, 'hecke_orbit_code': 4503599660925166, 'label': '238.2.a.b.1.1', 'level': 238, 'weight': 2}
• 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

  
  {'ALdims': [1, 2, 1, 0, 1, 0, 1, 1], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [0, 1, 1, 1, 1, 1, 1, 1], 'ALdims_old': [0, 6, 5, 2, 1, 6, 5, 1], 'Nk2': 952, 'analytic_conductor': 1.9004395681064732, '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': [238, 1, [171, 71], [1, 1]], 'conrey_index': 1, 'cusp_dim': 33, 'dim': 7, 'eis_dim': 7, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 33554670, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 2], 'label': '238.2.a', 'level': 238, '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': [2, 7, 17], 'level_radical': 238, 'mf_dim': 40, 'mf_new_dim': 7, 'num_forms': 6, 'plus_dim': 2, 'prim_orbit_index': 1, 'relative_dim': 7, 'sturm_bound': 72, 'trace_bound': 3, 'trace_display': [-1, 4, 2, -1], 'traces': [7, -1, 4, 7, 2, -4, -1, -1, 3, -6, -8, 4, -6, 3, 8, 7, -1, -5, -12, 2, -4, -8, 8, -4, 17, -6, 16, -1, 14, 8, 0, -1, 16, -1, 2, 3, -10, 20, -24, -6, -26, -4, -20, -8, -14, -8, 16, 4, 7, -7, 0, -6, 2, -16, 8, 3, -40, -2, -4, 8, -22, 0, -5, 7, 12, 0, -12, -1, 32, -6, 16, -5, -10, 22, -28, -12, -12, 24, -24, 2, 7, 6, 36, -4, 6, -20, -24, -8, 22, -6, -10, 8, 16, -16, 0, -4, -18, -1, 32, 17, 18, 0, -24, -6, 24, -14, 0, 16, -10, 40, -24, -1, 6, 40, 48, 14, -30, 12, -1, 8, 11, -14, 16, 0, 12, -1, 16, -1, 32, -4, -4, 16, 8, -12, -32, -1, 14, 0, 20, 2, 8, 16, 24, 3, 12, 6, 4, -10, 74, -36, 24, 20, 3, 4, -32, -24, 10, 8, 24, -6, -16, -33, 8, -26, -104, 20, -24, -4, -15, 6, -76, -20, -14, 8, 25, -8, -8, 6, -20, -14, -14, 6, -24, -8, -52, -16, 20, 16, -16, 16, -16, 4, -34, 14, -64, 7, 54, -48, 40, -7, 32, -14, 2, 0, -4, 8, 72, -6, -16, -8, -64, 2, -16, 32, -24, -16, 8, 22, 16, 8, 10, 40, 16, 3, -11, 6, 52, -40, -14, -16, -8, -2, -10, 34, 72, -4, 16, 3, -16, 8, -66, 3, 12, -22, 2, -16, 40, 0, 8, -84, 28, -5, 80, -16, -24, 7, -34, 0, -14, 12, -18, 52, 8, 0, 108, 0, -8, -12, -30, 0, 0, -1, 16, -2, -112, 32, 14, -20, -16, -6, -2, 24, 4, 16, -16, 8, 22, -5, 7, -100, -16, -10, -46, -4, -32, 22, 80, -6, 32, -28, -20, 24, -24, -12, -44, -13, -44, -12, 16, 32, -40, 24, 38, -38, 2, -24, -10, 8, -104, 2, 16, 0, 4, 7, -10, 40, 72, 6, -8, 8, 28, 36, 6, 40, 56, -4, 6, -39, 152, 6, -48, 52, -1, -20, -96, -6, -8, -24, 10, 5, 16, -8, 126, 40, -32, 22, 0, 44, 8, -6, -5, -6, 12, -10, -68, 8, -96, 8, 30, -4, 10, 16, 34, -4, 128, -16, 28, 32, 32, 0, 56, 16, 48, -4, 8, -34, 44, -18, 42, 32, 24, -1, 8, -42, 48, 32, 26, -8, 16, 17, -34, 0, -80, 18, -38, -6, -8, 0, -74, -4, 32, -24, -8, -72, 32, -6, -8, 16, -44, 24, -78, 32, -80, -14, -15, 48, -14, 0, -32, 40, -64, 16, -18, -8, 104, -10, -48, -112, -56, 40, 3, -6, 28, -24, 36, -80, 24, -1, -10, 29, -24, 6, -72, -4, -36, 40, 22, 34, 24, 48, -70, 40, 32, 14, 80, -90, 84, -30, 12, 24, 56, 12, 48, 80, -36, -1, -6, 16, -112, 8, 44, -2, -16, 11, 12, -12, 24, -14, -48, -6, -60, 16, -22, -56, -56, 0, -24, -40, -40, 12, -48, -84, -88, -1, 60, -48, -52, 16, -38, 8, 38, -1, -96, 30, 0, 32, 8, -6, 104, -4, 38, 78, -20, -4, 28, -56, -24, 16, 63, -68, -84, 8, -76, -56, 72, -12, -64, 74, -8, -32, -74, -64, 24, -1, 28, 0, 112, 14, -54, 0, -8, 0, -16, 14, -40, 20, 42, 16, -8, 2, 16, -82, 52, 8, 84, -52, -33, 16, 6, 16, -56, 24, 0, -34, -40, 3, 62, -1, -152, 12, 32, 16, -32, 6, -4, 34, -36, 4, -32, 80, 104, -10, -66, -112, -2, 74, 144, -32, 40, -36, -26, -20, -76, 24, -142, -40, 64, 20, 16, 116, 32, 3, 26, 20, 96, 4, 46, 48, 60, -32, 128, -8, 38, -24, 51, 6, -96, 10, -6, -22, 40, 8, -112, 102, 72, 24, -6, -8, -32, -6, 14, 32, 76, -16, -48, 4, -8, -33, -16, -10, 0, 8, 86, -24, -104, -26, 142, 8, -84, -104, 66, -36, -8, 20, -32, 54, 0, -24, -8, 120, 104, -4, -106, 6, 0, -15, 2, -24, 14, 6, 104, 48, 64, -76, 124, 3, -168, -20, -4, 32, -20, -14, -52, 8, 24, 8, -18, 74, 104, 25, -38, -16, 72, -8, -48, -2, 38, -8, 54, 0, -40, 6, -160, 8, 48, -20, -112, 8, 64, -14, -16, -77, -32, -14, 202, -140, -120, 6, 51, -4, -12, -24, 42, 80, 8, -8, 64, -2, 44, -52, 112, -30, 16, -16, -148, -14, 20, 20, 12, -32, -48, 16, -24, -52, -104, -16, -86, 16, 64, 16, -58, 40, 10, -16, -26, -16, -8, 4, 30, 40, 80, -34, 98, 12, -16, 14, -32, -38, -24, -64, -32, -24, -48, 7, 108, 40, 4, 54, -8, 16, -2, -48, 60, 98, 64, 40, 26, -16, 8, -7, 14, 30, 40, 32, -16, 80, -56, -14, -42, 162, -28, 2, 120, -72, -72, 0, -80, 22, 30, -4, -154, 32, 96, 8, 0, 0, -24, 72, 58, -80, -88, -6, -1, 56, 16, -16, -96, -100, 56, -8, 41, 98, -16, -64, 158, 16, 27, 2, 104, 1, 32, -16, -46, 26, 16, 32, 102, 0, 92, -24, 16, -48, 48, -16, 20, 30, 4, 8, 0, 24, -56, 22, 38, 48, -36, 16, -114, -72, -8, 8, -50, -5, -76, 10, -32, -4, 72, 40, -48, -76, 240, 16, 16, -88, -40, 3, -160, -26, -48, -11, -6, 56, 0, 6, -76, -24, -40, 52, -70, 44, 56, -40, -96, -90, -152, -14, -12, -24, -88, -16, 24, -70, 48, -8, -78, 0, 8, -2, -194, -80, -12, -10, -16, -12, -16, 34, 22, -4, -32, 72, 74, -88, -80, -4, -32, 48, -176, 16, -124, 28, -88, 3, 102, 10, -128, -16, -72, -96, -10, 8, -25, -68, 24, -66, 4, 16, 56, 3, -16, -116, 12, 12, -28, -24, -40, -22, -146, -96, -64, 2, 118, 36, 24, -16, 44, -14, 40, 40, -32, 104, 24, 0, -112, 8, 176, 8, 26, 136, -16, -84], '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: 33841620
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925166, 'source_is_minimal': True, 'source_label': '238.2.a.b.1.1', 'source_level': 238, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660925166, 'target_is_minimal': True, 'target_label': '238.2.a.b.1.1', 'target_level': 238, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 33841621
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925166, 'source_is_minimal': True, 'source_label': '238.2.a.b.1.1', 'source_level': 238, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539595934632030, 'target_is_minimal': False, 'target_label': '2142.2.a.l.1.1', 'target_level': 2142, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 33841622
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925166, 'source_is_minimal': True, 'source_label': '238.2.a.b.1.1', 'source_level': 238, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660926832, 'target_is_minimal': False, 'target_label': '1904.2.a.b.1.1', 'target_level': 1904, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 33841623
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925166, 'source_is_minimal': True, 'source_label': '238.2.a.b.1.1', 'source_level': 238, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996307265342, 'target_is_minimal': False, 'target_label': '5950.2.a.k.1.1', 'target_level': 5950, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 33841624
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925166, 'source_is_minimal': True, 'source_label': '238.2.a.b.1.1', 'source_level': 238, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660926594, 'target_is_minimal': False, 'target_label': '1666.2.a.b.1.1', 'target_level': 1666, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 33841625
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925166, 'source_is_minimal': True, 'source_label': '238.2.a.b.1.1', 'source_level': 238, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797052526016, 'target_is_minimal': False, 'target_label': '7616.2.a.i.1.1', 'target_level': 7616, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 33841626
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925166, 'source_is_minimal': True, 'source_label': '238.2.a.b.1.1', 'source_level': 238, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33562048, 'target_is_minimal': False, 'target_label': '7616.2.a.a.1.1', 'target_level': 7616, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 33841627
    {'conductor': 17, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925166, 'source_is_minimal': True, 'source_label': '238.2.a.b.1.1', 'source_level': 238, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660928974, 'target_is_minimal': False, 'target_label': '4046.2.a.b.1.1', 'target_level': 4046, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '17.16', 'twisting_conrey_index': 16, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 560100
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 2}
  • id: 560101
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 3}
  • id: 560102
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 5}
  • id: 560103
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 7}
  • id: 560104
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 11}
  • id: 560105
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 13}
  • id: 560106
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 17}
  • id: 560107
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 19}
  • id: 560108
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 23}
  • id: 560109
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 29}
  • id: 560110
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 31}
  • id: 560111
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 37}
  • id: 560112
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 41}
  • id: 560113
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 43}
  • id: 560114
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 47}
  • id: 560115
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 53}
  • id: 560116
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 59}
  • id: 560117
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 61}
  • id: 560118
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 67}
  • id: 560119
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 71}
  • id: 560120
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 73}
  • id: 560121
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 79}
  • id: 560122
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 83}
  • id: 560123
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 4503599660925166, 'p': 89}
  • id: 560124
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660925166, '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': 2, 'label': '238.2.a.b', 'level': 238, '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

  
  Showing the first 100 of 258 matching records in this table.
  • id: 16079658
    {'hecke_orbit_code': 4503599660925166, 'n': 1, 'trace_an': 1}
  • id: 16079659
    {'hecke_orbit_code': 4503599660925166, 'n': 2, 'trace_an': -1}
  • id: 16079660
    {'hecke_orbit_code': 4503599660925166, 'n': 3, 'trace_an': 2}
  • id: 16079661
    {'hecke_orbit_code': 4503599660925166, 'n': 4, 'trace_an': 1}
  • id: 16079662
    {'hecke_orbit_code': 4503599660925166, 'n': 5, 'trace_an': 4}
  • id: 16079663
    {'hecke_orbit_code': 4503599660925166, 'n': 6, 'trace_an': -2}
  • id: 16079664
    {'hecke_orbit_code': 4503599660925166, 'n': 7, 'trace_an': 1}
  • id: 16079665
    {'hecke_orbit_code': 4503599660925166, 'n': 8, 'trace_an': -1}
  • id: 16079666
    {'hecke_orbit_code': 4503599660925166, 'n': 9, 'trace_an': 1}
  • id: 16079667
    {'hecke_orbit_code': 4503599660925166, 'n': 10, 'trace_an': -4}
  • id: 16079668
    {'hecke_orbit_code': 4503599660925166, 'n': 11, 'trace_an': -4}
  • id: 16079669
    {'hecke_orbit_code': 4503599660925166, 'n': 12, 'trace_an': 2}
  • id: 16079670
    {'hecke_orbit_code': 4503599660925166, 'n': 13, 'trace_an': -4}
  • id: 16079671
    {'hecke_orbit_code': 4503599660925166, 'n': 14, 'trace_an': -1}
  • id: 16079672
    {'hecke_orbit_code': 4503599660925166, 'n': 15, 'trace_an': 8}
  • id: 16079673
    {'hecke_orbit_code': 4503599660925166, 'n': 16, 'trace_an': 1}
  • id: 16079674
    {'hecke_orbit_code': 4503599660925166, 'n': 17, 'trace_an': -1}
  • id: 16079675
    {'hecke_orbit_code': 4503599660925166, 'n': 18, 'trace_an': -1}
  • id: 16079676
    {'hecke_orbit_code': 4503599660925166, 'n': 19, 'trace_an': -6}
  • id: 16079677
    {'hecke_orbit_code': 4503599660925166, 'n': 20, 'trace_an': 4}
  • id: 16079678
    {'hecke_orbit_code': 4503599660925166, 'n': 21, 'trace_an': 2}
  • id: 16079679
    {'hecke_orbit_code': 4503599660925166, 'n': 22, 'trace_an': 4}
  • id: 16079680
    {'hecke_orbit_code': 4503599660925166, 'n': 23, 'trace_an': 0}
  • id: 16079681
    {'hecke_orbit_code': 4503599660925166, 'n': 24, 'trace_an': -2}
  • id: 16079682
    {'hecke_orbit_code': 4503599660925166, 'n': 25, 'trace_an': 11}
  • id: 16079683
    {'hecke_orbit_code': 4503599660925166, 'n': 26, 'trace_an': 4}
  • id: 16079684
    {'hecke_orbit_code': 4503599660925166, 'n': 27, 'trace_an': -4}
  • id: 16079685
    {'hecke_orbit_code': 4503599660925166, 'n': 28, 'trace_an': 1}
  • id: 16079686
    {'hecke_orbit_code': 4503599660925166, 'n': 29, 'trace_an': 6}
  • id: 16079687
    {'hecke_orbit_code': 4503599660925166, 'n': 30, 'trace_an': -8}
  • id: 16079688
    {'hecke_orbit_code': 4503599660925166, 'n': 31, 'trace_an': 4}
  • id: 16079689
    {'hecke_orbit_code': 4503599660925166, 'n': 32, 'trace_an': -1}
  • id: 16079690
    {'hecke_orbit_code': 4503599660925166, 'n': 33, 'trace_an': -8}
  • id: 16079691
    {'hecke_orbit_code': 4503599660925166, 'n': 34, 'trace_an': 1}
  • id: 16079692
    {'hecke_orbit_code': 4503599660925166, 'n': 35, 'trace_an': 4}
  • id: 16079693
    {'hecke_orbit_code': 4503599660925166, 'n': 36, 'trace_an': 1}
  • id: 16079694
    {'hecke_orbit_code': 4503599660925166, 'n': 37, 'trace_an': -10}
  • id: 16079695
    {'hecke_orbit_code': 4503599660925166, 'n': 38, 'trace_an': 6}
  • id: 16079696
    {'hecke_orbit_code': 4503599660925166, 'n': 39, 'trace_an': -8}
  • id: 16079697
    {'hecke_orbit_code': 4503599660925166, 'n': 40, 'trace_an': -4}
  • id: 16079698
    {'hecke_orbit_code': 4503599660925166, 'n': 41, 'trace_an': 6}
  • id: 16079699
    {'hecke_orbit_code': 4503599660925166, 'n': 42, 'trace_an': -2}
  • id: 16079700
    {'hecke_orbit_code': 4503599660925166, 'n': 43, 'trace_an': 0}
  • id: 16079701
    {'hecke_orbit_code': 4503599660925166, 'n': 44, 'trace_an': -4}
  • id: 16079702
    {'hecke_orbit_code': 4503599660925166, 'n': 45, 'trace_an': 4}
  • id: 16079703
    {'hecke_orbit_code': 4503599660925166, 'n': 46, 'trace_an': 0}
  • id: 16079704
    {'hecke_orbit_code': 4503599660925166, 'n': 47, 'trace_an': 4}
  • id: 16079705
    {'hecke_orbit_code': 4503599660925166, 'n': 48, 'trace_an': 2}
  • id: 16079706
    {'hecke_orbit_code': 4503599660925166, 'n': 49, 'trace_an': 1}
  • id: 16079707
    {'hecke_orbit_code': 4503599660925166, 'n': 50, 'trace_an': -11}
  • id: 16079708
    {'hecke_orbit_code': 4503599660925166, 'n': 51, 'trace_an': -2}
  • id: 16079709
    {'hecke_orbit_code': 4503599660925166, 'n': 52, 'trace_an': -4}
  • id: 16079710
    {'hecke_orbit_code': 4503599660925166, 'n': 53, 'trace_an': 14}
  • id: 16079711
    {'hecke_orbit_code': 4503599660925166, 'n': 54, 'trace_an': 4}
  • id: 16079712
    {'hecke_orbit_code': 4503599660925166, 'n': 55, 'trace_an': -16}
  • id: 16079713
    {'hecke_orbit_code': 4503599660925166, 'n': 56, 'trace_an': -1}
  • id: 16079714
    {'hecke_orbit_code': 4503599660925166, 'n': 57, 'trace_an': -12}
  • id: 16079715
    {'hecke_orbit_code': 4503599660925166, 'n': 58, 'trace_an': -6}
  • id: 16079716
    {'hecke_orbit_code': 4503599660925166, 'n': 59, 'trace_an': -6}
  • id: 16079717
    {'hecke_orbit_code': 4503599660925166, 'n': 60, 'trace_an': 8}
  • id: 16079718
    {'hecke_orbit_code': 4503599660925166, 'n': 61, 'trace_an': -12}
  • id: 16079719
    {'hecke_orbit_code': 4503599660925166, 'n': 62, 'trace_an': -4}
  • id: 16079720
    {'hecke_orbit_code': 4503599660925166, 'n': 63, 'trace_an': 1}
  • id: 16079721
    {'hecke_orbit_code': 4503599660925166, 'n': 64, 'trace_an': 1}
  • id: 16079722
    {'hecke_orbit_code': 4503599660925166, 'n': 65, 'trace_an': -16}
  • id: 16079723
    {'hecke_orbit_code': 4503599660925166, 'n': 66, 'trace_an': 8}
  • id: 16079724
    {'hecke_orbit_code': 4503599660925166, 'n': 67, 'trace_an': 4}
  • id: 16079725
    {'hecke_orbit_code': 4503599660925166, 'n': 68, 'trace_an': -1}
  • id: 16079726
    {'hecke_orbit_code': 4503599660925166, 'n': 69, 'trace_an': 0}
  • id: 16079727
    {'hecke_orbit_code': 4503599660925166, 'n': 70, 'trace_an': -4}
  • id: 16079728
    {'hecke_orbit_code': 4503599660925166, 'n': 71, 'trace_an': -8}
  • id: 16079729
    {'hecke_orbit_code': 4503599660925166, 'n': 72, 'trace_an': -1}
  • id: 16079730
    {'hecke_orbit_code': 4503599660925166, 'n': 73, 'trace_an': 2}
  • id: 16079731
    {'hecke_orbit_code': 4503599660925166, 'n': 74, 'trace_an': 10}
  • id: 16079732
    {'hecke_orbit_code': 4503599660925166, 'n': 75, 'trace_an': 22}
  • id: 16079733
    {'hecke_orbit_code': 4503599660925166, 'n': 76, 'trace_an': -6}
  • id: 16079734
    {'hecke_orbit_code': 4503599660925166, 'n': 77, 'trace_an': -4}
  • id: 16079735
    {'hecke_orbit_code': 4503599660925166, 'n': 78, 'trace_an': 8}
  • id: 16079736
    {'hecke_orbit_code': 4503599660925166, 'n': 79, 'trace_an': 0}
  • id: 16079737
    {'hecke_orbit_code': 4503599660925166, 'n': 80, 'trace_an': 4}
  • id: 16079738
    {'hecke_orbit_code': 4503599660925166, 'n': 81, 'trace_an': -11}
  • id: 16079739
    {'hecke_orbit_code': 4503599660925166, 'n': 82, 'trace_an': -6}
  • id: 16079740
    {'hecke_orbit_code': 4503599660925166, 'n': 83, 'trace_an': 10}
  • id: 16079741
    {'hecke_orbit_code': 4503599660925166, 'n': 84, 'trace_an': 2}
  • id: 16079742
    {'hecke_orbit_code': 4503599660925166, 'n': 85, 'trace_an': -4}
  • id: 16079743
    {'hecke_orbit_code': 4503599660925166, 'n': 86, 'trace_an': 0}
  • id: 16079744
    {'hecke_orbit_code': 4503599660925166, 'n': 87, 'trace_an': 12}
  • id: 16079745
    {'hecke_orbit_code': 4503599660925166, 'n': 88, 'trace_an': 4}
  • id: 16079746
    {'hecke_orbit_code': 4503599660925166, 'n': 89, 'trace_an': 10}
  • id: 16079747
    {'hecke_orbit_code': 4503599660925166, 'n': 90, 'trace_an': -4}
  • id: 16079748
    {'hecke_orbit_code': 4503599660925166, 'n': 91, 'trace_an': -4}
  • id: 16079749
    {'hecke_orbit_code': 4503599660925166, 'n': 92, 'trace_an': 0}
  • id: 16079750
    {'hecke_orbit_code': 4503599660925166, 'n': 93, 'trace_an': 8}
  • id: 16079751
    {'hecke_orbit_code': 4503599660925166, 'n': 94, 'trace_an': -4}
  • id: 16079752
    {'hecke_orbit_code': 4503599660925166, 'n': 95, 'trace_an': -24}
  • id: 16079753
    {'hecke_orbit_code': 4503599660925166, 'n': 96, 'trace_an': -2}
  • id: 16079754
    {'hecke_orbit_code': 4503599660925166, 'n': 97, 'trace_an': 6}
  • id: 16079755
    {'hecke_orbit_code': 4503599660925166, 'n': 98, 'trace_an': -1}
  • id: 16079756
    {'hecke_orbit_code': 4503599660925166, 'n': 99, 'trace_an': -4}
  • id: 16079757
    {'hecke_orbit_code': 4503599660925166, 'n': 100, 'trace_an': 11}