Embedded newform data - 675.4.b.h.649.2

Formats: - HTML - YAML - JSON - 2026-04-12T22:54:11.934613

• 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': 10800, 'analytic_conductor': 39.82628925387491, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [675, 2, [326, 352], [2, 1]], 'cm_discs': [-3], 'conrey_index': 649, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [0, 1]], [7, [1369, 0, 1]], [11, [0, 1]]], 'hecke_orbit': 8, 'hecke_orbit_code': 31525266178179747, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, -3], [1, 1, 15, 4, -1, 2, 0], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '675.4.b.h', 'level': 675, 'level_is_powerful': True, '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, 5], 'level_radical': 15, 'minimal_twist': '675.4.a.d', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+8 q^{4}-37 i q^{7}+70 i q^{13}+64 q^{16}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.1.d2', 'self_twist_discs': [-3], 'self_twist_type': 1, 'space_label': '675.4.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1932119727715580569, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.963', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '23.490', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '310.051', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.761', 'prec': 17}, 'traces': [2, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 326, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -38, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2052, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1438, 0, 0, 1024, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2608, 0, 0, -1006, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4426, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2662, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6086, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3922, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5406, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6916, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16416, 0, 0, 10472, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12064, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4714, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14756, 0, 0, 11504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8192, 0, 0, -32042, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16202, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9826, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -33226, 0, 0, 20864, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8048, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -21782, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2734, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 39420, 0, 0, 41440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16492, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13358, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -35408, 0, 0, -3706, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -65120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60620, 0, 0, -21296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2432, 0, 0, -43486, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20054, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24334, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 41578, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48688, 0, 0, 62860, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1258, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6194, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34702, 0, 0, 31376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -53386, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3784, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 67462, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -43248, 0, 0, -38702, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 55046, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1406, 0, 0, 55328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -62752, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -35138, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9212, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -131328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 83776, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -81218, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60154, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48778, 0, 0, 96512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 99614, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 123200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -37712, 0, 0, 99146, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -334476, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -37940, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -58860, 0, 0, -118048, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 92032, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28082, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 4, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.9978122144773438], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.4934236052217706], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.9681455063632405, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.9978122144773438], [0.0, 0.0], [0.0, 0.0], [-0.11008066898415236, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.9239124730599921], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.592368792542779], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-2.991253644314869, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.4934236052217706], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.5091560110123312, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.6046135975156508], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.4344952176733066], [0.0, 0.0], [0.0, 0.0], [1.9681455063632405, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.7163534356528988, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [2.9835799199008446, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.547449530273075], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.018175976975846185], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.944650980912301, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.9978122144773438], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.11008066898415236, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.26550824691190805], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 3.9319851324811785], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.8568625273497492, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.9239124730599921], [0.0, 0.0], [0.0, 0.0], [1.0568471308942011, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.6216944329324215], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.633794803655862], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.2303140646335913, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.592368792542779], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.4200614131064646, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.4773006159148079], [0.0, 0.0], [0.0, 0.0], [-2.991253644314869, 0.0], [0.0, 0.0], [0.0, 0.0], [1.8651768791073602, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 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[0.0, 0.0], [0.0, 0.0], [0.0, 3.7096626377446005], [0.0, 0.0], [0.0, 0.0], [1.5091560110123312, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -2.939274957714018], [0.0, 0.0], [0.0, 0.0], [-0.45007776439529384, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.9183439182245133], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [0.0, None, None, 0.24255504459057578, -0.25, -0.36581571873344987, 0.0, -0.028443537053087817, 0.0, -0.25, -0.2587643702947743, 0.2059583662829018, -0.25, 0.1465757455747912, 0.0, 0.0, -0.25, -0.11392080423595921, 0.14819709300227277, -0.25, -0.46514604703702983, -0.3083007338098099, 0.0, -0.25, 0.04412786917837274, -0.25, -0.4985535817986023, 0.0, -0.46246972120545504, 0.0, -0.4788089674661522, -0.25, 0.0, -0.0605789350966809, -0.25, -0.16139165763897698, -0.4496936247287482, -0.3478460916324235, 0.0, 0.0, -0.25, -0.12434051735285162, -0.25, -0.36773175253760576, 0.0, -0.05877230856051268, -0.0284831757659341, -0.4136450287648444, 0.0, -0.30522645159902684, 0.0, -0.25, -0.47335050334125295, -0.25, 0.0, 0.0, -0.25, -0.4311708587061123, -0.2613406485421452, -0.25, -0.2667358426193432, 0.0, 0.10694245438398463, -0.25, 0.17962886454927063, 0.0, -0.4297902392766232, 0.06522559830215978, 0.0, -0.266715494291614, 0.0, -0.25, -0.4500620821150645, 0.002772825762000507, -0.15119340636110928, 0.0, -0.25, -0.3453162276401372, -0.25, -0.33305005396064974, -0.25, -0.3131747503053327, -0.25, -0.35628766988303684, -0.2660585348483216, 0.0, -0.25, -0.38728159116486943, -0.25, 0.10255534526001533, 0.0, -0.25, -0.2875132275334917, -0.25, -0.4645535188319885, 0.0, -0.25, -0.25, 0.2493892335601457, -0.09529068052070841, -0.34354157198590374, 0.0, 0.0, -0.25, -0.24633119116930569, 0.05636399187197102, 0.0, 0.0, -0.25, -0.149796275563025, -0.4671103906884653, 0.06957581946658306, 0.0, -0.41685785262440234, -0.2404955849594587, -0.25, 0.06611388228606464, 0.0, 0.0, -0.25, -0.019603993125304846, 0.04574624525677962, 0.0, 0.0, -0.3229378188060231, -0.25, -0.12000484530402426, -0.25, -0.2889991788550788, 0.06189771117376435, -0.3926221103482522, 0.0, -0.32018524680190646, -0.43169794156602137, -0.25, -0.23277844405813408, 0.0, 0.11283122333004786, 0.0, -0.25, -0.4209431117182793, -0.25, -0.45833871140518595, 0.0, -0.3584821284866697, -0.25, -0.3067650549896851, 0.0, -0.023445286094589082, 0.0, 0.04139104125647689, -0.25, -0.397800918208962, 0.0, -0.48656265385263836, -0.25, -0.07545792052721059, -0.25, -0.37609280991043775, -0.25, 0.0, 0.0, -0.32298668261918656, -0.25, 0.0, 0.0, -0.2861254571825283, -0.42407308767845947], 'char_orbit_index': 2, 'conrey_index': 649, 'dual_conrey_index': 649, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': -1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 8, 'hecke_orbit_code': 31525266178179747, 'label': '675.4.b.h.649.2', 'level': 675, 'weight': 4}
• 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': 10800, 'analytic_conductor': 39.82628925387491, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [675, 2, [326, 352], [2, 1]], 'conrey_index': 649, 'cusp_dim': 252, 'dim': 72, 'eis_dim': 36, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 68786586275, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 6, 6, 6, 6, 8, 8, 8], 'label': '675.4.b', 'level': 675, 'level_is_powerful': True, '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, 5], 'level_radical': 15, 'mf_dim': 288, 'mf_new_dim': 72, 'num_forms': 17, 'prim_orbit_index': 2, 'relative_dim': 72, 'sturm_bound': 360, 'trace_bound': 19, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, -276, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1116, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, -2460, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 528, 0, 0, -1620, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 936, 0, 0, -1920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7668, 0, 0, -4296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6660, 0, 0, -4980, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1056, 0, 0, -4416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1044, 0, 0, -7008, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43176, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7776, 0, 0, -14820, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -25560, 0, 0, 2256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13632, 0, 0, 41364, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -22992, 0, 0, -10932, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40848, 0, 0, 33504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34032, 0, 0, 16248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -33720, 0, 0, -43728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -69924, 0, 0, 24684, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54492, 0, 0, 8076, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14724, 0, 0, -48240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16044, 0, 0, 55068, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68364, 0, 0, 20760, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -63864, 0, 0, 31656, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -155496, 0, 0, -39612, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 147120, 0, 0, 97392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 89796, 0, 0, 18912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -53328, 0, 0, -68712, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2904, 0, 0, -87564, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44532, 0, 0, 29796, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -62340, 0, 0, 70344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -29904, 0, 0, 200784, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -211512, 0, 0, -12828, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44856, 0, 0, -81756, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48696, 0, 0, -94980, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 158352, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96420, 0, 0, -59184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136440, 0, 0, -163500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 92688, 0, 0, 7044, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160428, 0, 0, -61536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -106356, 0, 0, -109764, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -85188, 0, 0, -216564, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 77076, 0, 0, 238188, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48660, 0, 0, 46296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 166572, 0, 0, 87936, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 41268, 0, 0, -154044, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -135840, 0, 0, -168168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42720, 0, 0, -221004, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 378168, 0, 0, 157080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -274128, 0, 0, 365304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -68424, 0, 0, 99384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 62316, 0, 0, -363144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42744, 0, 0, -342132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104664, 0, 0, 226728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 70068, 0, 0, -133848, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -295380, 0, 0, -320124, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 169296, 0, 0, -36204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 580512, 0, 0, 471132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -424080, 0, 0, 137880, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -57408, 0, 0, 222996, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -452760, 0, 0, 403236, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320640, 0, 0, 402504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -245640, 0, 0, 381816, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 143736, 0, 0, -642420, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10824, 0, 0, -213000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 213588, 0, 0, 354720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 557424, 0, 0, 181800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -150768, 0, 0, 508992, 0, 0, 0, 0, 0, 0], 'weight': 4, '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: 46226123
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 31525266178179747, 'source_is_minimal': False, 'source_label': '675.4.b.h.649.2', 'source_level': 675, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525266178179747, 'target_is_minimal': False, 'target_label': '675.4.b.h.649.2', 'target_level': 675, 'twist_class_label': '675.4.a.d.1.1', 'twist_class_level': 675, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 46226124
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 31525266178179747, 'source_is_minimal': False, 'source_label': '675.4.b.h.649.2', 'source_level': 675, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525266178179747, 'target_is_minimal': False, 'target_label': '675.4.b.h.649.2', 'target_level': 675, 'twist_class_label': '675.4.a.d.1.1', 'twist_class_level': 675, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 46226125
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 31525266178179747, 'source_is_minimal': False, 'source_label': '675.4.b.h.649.2', 'source_level': 675, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798949221027, 'target_is_minimal': True, 'target_label': '675.4.a.d.1.1', 'target_level': 675, 'twist_class_label': '675.4.a.d.1.1', 'twist_class_level': 675, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 46226126
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 31525266178179747, 'source_is_minimal': False, 'source_label': '675.4.b.h.649.2', 'source_level': 675, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597831332515, 'target_is_minimal': True, 'target_label': '675.4.a.g.1.1', 'target_level': 675, 'twist_class_label': '675.4.a.d.1.1', 'twist_class_level': 675, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 46226127
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 31525266178179747, 'source_is_minimal': False, 'source_label': '675.4.b.h.649.2', 'source_level': 675, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525266178179747, 'target_is_minimal': False, 'target_label': '675.4.b.h.649.1', 'target_level': 675, 'twist_class_label': '675.4.a.d.1.1', 'twist_class_level': 675, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 46226128
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 31525266178179747, 'source_is_minimal': False, 'source_label': '675.4.b.h.649.2', 'source_level': 675, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798949221027, 'target_is_minimal': True, 'target_label': '675.4.a.d.1.1', 'target_level': 675, 'twist_class_label': '675.4.a.d.1.1', 'twist_class_level': 675, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 46226129
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 31525266178179747, 'source_is_minimal': False, 'source_label': '675.4.b.h.649.2', 'source_level': 675, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597831332515, 'target_is_minimal': True, 'target_label': '675.4.a.g.1.1', 'target_level': 675, 'twist_class_label': '675.4.a.d.1.1', 'twist_class_level': 675, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 4}
  • id: 46226130
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 649, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 31525266178179747, 'source_is_minimal': False, 'source_label': '675.4.b.h.649.2', 'source_level': 675, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525266178179747, 'target_is_minimal': False, 'target_label': '675.4.b.h.649.1', 'target_level': 675, 'twist_class_label': '675.4.a.d.1.1', 'twist_class_level': 675, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1196525
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525266178179747, 'p': 2}
  • id: 1196526
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525266178179747, 'p': 3}
  • id: 1196527
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525266178179747, 'p': 5}
  • id: 1196528
    {'charpoly_factorization': [[[1369, 0, 1], 1]], 'hecke_orbit_code': 31525266178179747, 'p': 7}
  • id: 1196529
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525266178179747, 'p': 11}
  • id: 1196530
    {'charpoly_factorization': [[[4900, 0, 1], 1]], 'hecke_orbit_code': 31525266178179747, 'p': 13}
  • id: 1196531
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525266178179747, 'p': 17}
  • id: 1196532
    {'charpoly_factorization': [[[-163, 1], 2]], 'hecke_orbit_code': 31525266178179747, 'p': 19}
  • id: 1196533
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525266178179747, 'p': 23}
  • id: 1196534
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525266178179747, 'p': 29}
  • id: 1196535
    {'charpoly_factorization': [[[19, 1], 2]], 'hecke_orbit_code': 31525266178179747, 'p': 31}
  • id: 1196536
    {'charpoly_factorization': [[[187489, 0, 1], 1]], 'hecke_orbit_code': 31525266178179747, 'p': 37}
  • id: 1196537
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525266178179747, 'p': 41}
  • id: 1196538
    {'charpoly_factorization': [[[201601, 0, 1], 1]], 'hecke_orbit_code': 31525266178179747, 'p': 43}
  • id: 1196539
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525266178179747, 'p': 47}
  • id: 1196540
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525266178179747, 'p': 53}
  • id: 1196541
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525266178179747, 'p': 59}
  • id: 1196542
    {'charpoly_factorization': [[[-719, 1], 2]], 'hecke_orbit_code': 31525266178179747, 'p': 61}
  • id: 1196543
    {'charpoly_factorization': [[[774400, 0, 1], 1]], 'hecke_orbit_code': 31525266178179747, 'p': 67}
  • id: 1196544
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525266178179747, 'p': 71}
  • id: 1196545
    {'charpoly_factorization': [[[73441, 0, 1], 1]], 'hecke_orbit_code': 31525266178179747, 'p': 73}
  • id: 1196546
    {'charpoly_factorization': [[[503, 1], 2]], 'hecke_orbit_code': 31525266178179747, 'p': 79}
  • id: 1196547
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525266178179747, 'p': 83}
  • id: 1196548
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 31525266178179747, 'p': 89}
  • id: 1196549
    {'charpoly_factorization': [[[273529, 0, 1], 1]], 'hecke_orbit_code': 31525266178179747, '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': 2, 'hecke_orbit': 8, 'label': '675.4.b.h', 'level': 675, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 49756051
    {'hecke_orbit_code': 31525266178179747, 'n': 1, 'trace_an': 2}
  • id: 49756052
    {'hecke_orbit_code': 31525266178179747, 'n': 2, 'trace_an': 0}
  • id: 49756053
    {'hecke_orbit_code': 31525266178179747, 'n': 3, 'trace_an': 0}
  • id: 49756054
    {'hecke_orbit_code': 31525266178179747, 'n': 4, 'trace_an': 16}
  • id: 49756055
    {'hecke_orbit_code': 31525266178179747, 'n': 5, 'trace_an': 0}
  • id: 49756056
    {'hecke_orbit_code': 31525266178179747, 'n': 6, 'trace_an': 0}
  • id: 49756057
    {'hecke_orbit_code': 31525266178179747, 'n': 7, 'trace_an': 0}
  • id: 49756058
    {'hecke_orbit_code': 31525266178179747, 'n': 8, 'trace_an': 0}
  • id: 49756059
    {'hecke_orbit_code': 31525266178179747, 'n': 9, 'trace_an': 0}
  • id: 49756060
    {'hecke_orbit_code': 31525266178179747, 'n': 10, 'trace_an': 0}
  • id: 49756061
    {'hecke_orbit_code': 31525266178179747, 'n': 11, 'trace_an': 0}
  • id: 49756062
    {'hecke_orbit_code': 31525266178179747, 'n': 12, 'trace_an': 0}
  • id: 49756063
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  • id: 49756164
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  • id: 49756171
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  • id: 49756172
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  • id: 49756216
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  • id: 49756219
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  • id: 49756263
    {'hecke_orbit_code': 31525266178179747, 'n': 701, 'trace_an': 0}
  • id: 49756264
    {'hecke_orbit_code': 31525266178179747, 'n': 709, 'trace_an': 55046}
  • id: 49756265
    {'hecke_orbit_code': 31525266178179747, 'n': 719, 'trace_an': 0}
  • id: 49756266
    {'hecke_orbit_code': 31525266178179747, 'n': 727, 'trace_an': 0}
  • id: 49756267
    {'hecke_orbit_code': 31525266178179747, 'n': 729, 'trace_an': 0}
  • id: 49756268
    {'hecke_orbit_code': 31525266178179747, 'n': 733, 'trace_an': 0}
  • id: 49756269
    {'hecke_orbit_code': 31525266178179747, 'n': 739, 'trace_an': -62752}
  • id: 49756270
    {'hecke_orbit_code': 31525266178179747, 'n': 743, 'trace_an': 0}
  • id: 49756271
    {'hecke_orbit_code': 31525266178179747, 'n': 751, 'trace_an': -35138}
  • id: 49756272
    {'hecke_orbit_code': 31525266178179747, 'n': 757, 'trace_an': 0}
  • id: 49756273
    {'hecke_orbit_code': 31525266178179747, 'n': 761, 'trace_an': 0}
  • id: 49756274
    {'hecke_orbit_code': 31525266178179747, 'n': 769, 'trace_an': 9212}
  • id: 49756275
    {'hecke_orbit_code': 31525266178179747, 'n': 773, 'trace_an': 0}
  • id: 49756276
    {'hecke_orbit_code': 31525266178179747, 'n': 787, 'trace_an': 0}
  • id: 49756277
    {'hecke_orbit_code': 31525266178179747, 'n': 797, 'trace_an': 0}
  • id: 49756278
    {'hecke_orbit_code': 31525266178179747, 'n': 809, 'trace_an': 0}
  • id: 49756279
    {'hecke_orbit_code': 31525266178179747, 'n': 811, 'trace_an': -81218}
  • id: 49756280
    {'hecke_orbit_code': 31525266178179747, 'n': 821, 'trace_an': 0}
  • id: 49756281
    {'hecke_orbit_code': 31525266178179747, 'n': 823, 'trace_an': 0}
  • id: 49756282
    {'hecke_orbit_code': 31525266178179747, 'n': 827, 'trace_an': 0}
  • id: 49756283
    {'hecke_orbit_code': 31525266178179747, 'n': 829, 'trace_an': -60154}
  • id: 49756284
    {'hecke_orbit_code': 31525266178179747, 'n': 839, 'trace_an': 0}
  • id: 49756285
    {'hecke_orbit_code': 31525266178179747, 'n': 841, 'trace_an': -48778}
  • id: 49756286
    {'hecke_orbit_code': 31525266178179747, 'n': 853, 'trace_an': 0}
  • id: 49756287
    {'hecke_orbit_code': 31525266178179747, 'n': 857, 'trace_an': 0}
  • id: 49756288
    {'hecke_orbit_code': 31525266178179747, 'n': 859, 'trace_an': 99614}
  • id: 49756289
    {'hecke_orbit_code': 31525266178179747, 'n': 863, 'trace_an': 0}
  • id: 49756290
    {'hecke_orbit_code': 31525266178179747, 'n': 877, 'trace_an': 0}
  • id: 49756291
    {'hecke_orbit_code': 31525266178179747, 'n': 881, 'trace_an': 0}
  • id: 49756292
    {'hecke_orbit_code': 31525266178179747, 'n': 883, 'trace_an': 0}
  • id: 49756293
    {'hecke_orbit_code': 31525266178179747, 'n': 887, 'trace_an': 0}
  • id: 49756294
    {'hecke_orbit_code': 31525266178179747, 'n': 907, 'trace_an': 0}
  • id: 49756295
    {'hecke_orbit_code': 31525266178179747, 'n': 911, 'trace_an': 0}
  • id: 49756296
    {'hecke_orbit_code': 31525266178179747, 'n': 919, 'trace_an': 99146}
  • id: 49756297
    {'hecke_orbit_code': 31525266178179747, 'n': 929, 'trace_an': 0}
  • id: 49756298
    {'hecke_orbit_code': 31525266178179747, 'n': 937, 'trace_an': 0}
  • id: 49756299
    {'hecke_orbit_code': 31525266178179747, 'n': 941, 'trace_an': 0}
  • id: 49756300
    {'hecke_orbit_code': 31525266178179747, 'n': 947, 'trace_an': 0}
  • id: 49756301
    {'hecke_orbit_code': 31525266178179747, 'n': 953, 'trace_an': 0}
  • id: 49756302
    {'hecke_orbit_code': 31525266178179747, 'n': 961, 'trace_an': -58860}
  • id: 49756303
    {'hecke_orbit_code': 31525266178179747, 'n': 967, 'trace_an': 0}
  • id: 49756304
    {'hecke_orbit_code': 31525266178179747, 'n': 971, 'trace_an': 0}
  • id: 49756305
    {'hecke_orbit_code': 31525266178179747, 'n': 977, 'trace_an': 0}
  • id: 49756306
    {'hecke_orbit_code': 31525266178179747, 'n': 983, 'trace_an': 0}
  • id: 49756307
    {'hecke_orbit_code': 31525266178179747, 'n': 991, 'trace_an': -28082}
  • id: 49756308
    {'hecke_orbit_code': 31525266178179747, 'n': 997, 'trace_an': 0}