Embedded newform data - 1665.2.a.p.1.2

Formats: - HTML - YAML - JSON - 2026-07-27T13:56:09.974079

• 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': 6660, 'analytic_conductor': 13.295091936543184, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, -1], [37, -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': [1665, 1, [371, 667, 631], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 5, 'field_disc': 973904, 'field_disc_factorization': [[2, 4], [60869, 1]], 'field_poly': [6, 19, 6, -8, -2, 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': [[2, [12, 11, -14, -8, 2, 1]], [7, [302, -268, 32, 32, -11, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444113537, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1665.2.a.p', 'level': 1665, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 37], 'level_radical': 555, 'minimal_twist': '185.2.a.e', 'nf_label': '5.5.973904.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{4}q^{2}+(2+\\beta _{3})q^{4}+q^{5}+(2+\\beta _{1}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 5, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1665.2.a', 'trace_display': [-2, 0, 5, 11], 'trace_hash': 220721340513557299, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.014', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.541', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '56.170', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1099.204', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.004', 'prec': 17}, 'traces': [5, -2, 0, 10, 5, 0, 11, -6, 0, -2, 5, 0, 4, 8, 0, 16, 0, 0, -4, 10, 0, -8, -4, 0, 5, 4, 0, 28, 4, 0, 8, -14, 0, -32, 11, 0, 5, 2, 0, -6, 5, 0, 10, 46, 0, 0, -7, 0, 22, -2, 0, -32, 1, 0, 5, -8, 0, -16, 30, 0, -14, -24, 0, 20, 4, 0, 24, -20, 0, 8, 7, 0, 5, -2, 0, 12, 17, 0, 28, 16, 0, -8, -27, 0, 0, -44, 0, -28, -6, 0, -14, -56, 0, 4, -4, 0, -26, 18, 0, 10, 29, 0, 22, 0, 0, 56, -6, 0, 10, -8, 0, 82, 26, 0, -4, 24, 0, -16, -14, 0, -14, -32, 0, -10, 5, 0, 59, -30, 0, 4, 30, 0, -40, -50, 0, -28, 10, 0, -4, 28, 0, -32, -36, 0, 4, 52, 0, 10, 5, 0, 24, -6, 0, 0, 8, 0, 25, 60, 0, -14, 20, 0, 12, 46, 0, 54, 22, 0, 7, -32, 0, -16, 37, 0, 11, 76, 0, 56, 24, 0, -23, 34, 0, -8, 5, 0, -20, -44, 0, 2, -18, 0, -28, 0, 0, 108, -1, 0, -10, -6, 0, -28, 16, 0, 5, -8, 0, -84, 16, 0, -5, 30, 0, 36, 10, 0, -14, 12, 0, 46, 0, 0, 1, -100, 0, -4, -36, 0, 11, 0, 0, -96, -14, 0, -7, 74, 0, -118, -26, 0, -12, -14, 0, -8, 22, 0, 14, -84, 0, -2, 40, 0, -52, -38, 0, -20, -26, 0, 11, -32, 0, -26, -49, 0, 1, 72, 0, 24, -46, 0, 17, 16, 0, -16, 5, 0, 50, -88, 0, -8, 46, 0, -4, 54, 0, 4, 17, 0, 19, -16, 0, -18, 14, 0, 30, -6, 0, -8, 20, 0, 26, -148, 0, -56, -14, 0, 43, 154, 0, -24, 6, 0, 34, -76, 0, -2, -50, 0, 20, 20, 0, -124, -58, 0, 4, 12, 0, -28, -89, 0, -36, -130, 0, -24, 24, 0, 41, 42, 0, -20, -18, 0, 25, -92, 0, -8, 4, 0, -30, 8, 0, -68, 18, 0, 7, 0, 0, -38, 3, 0, -3, 48, 0, -166, 5, 0, -8, 0, 0, -2, 65, 0, -21, -60, 0, 60, 4, 0, 23, 12, 0, -36, -38, 0, 17, -28, 0, -112, -48, 0, 76, 14, 0, -172, 28, 0, -51, 42, 0, 16, 14, 0, 70, 22, 0, -88, 5, 0, -24, -8, 0, -64, 32, 0, -27, 108, 0, -4, 53, 0, -56, 52, 0, 20, 0, 0, -22, -50, 0, -44, -34, 0, -41, -60, 0, 52, -100, 0, 16, -28, 0, 32, -33, 0, -6, 70, 0, 134, -6, 0, 41, 20, 0, -84, -14, 0, -6, -96, 0, -56, -6, 0, 2, 72, 0, 36, 26, 0, -8, 4, 0, 28, -26, 0, -4, -102, 0, 26, 52, 0, 4, -72, 0, 32, -26, 0, -8, -16, 0, 18, 12, 0, -4, -38, 0, -22, 23, 0, -84, 10, 0, 6, 28, 0, 29, -8, 0, 162, 23, 0, 69, -134, 0, -12, 22, 0, -37, 8, 0, 0, -55, 0, 2, -52, 0, -58, 30, 0, 45, 56, 0, -56, -36, 0, -6, -154, 0, -112, 86, 0, -30, 36, 0, -104, 10, 0, 24, 60, 0, -8, 8, 0, 106, -48, 0, 80, -16, 0, 20, 82, 0, -8, -24, 0, 26, 60, 0, 28, 34, 0, 87, -100, 0, 0, -4, 0, -20, 98, 0, 24, -43, 0, 29, -32, 0, -40, 30, 0, 16, -16, 0, 16, 39, 0, -14, 90, 0, 92, -9, 0, 78, -208, 0, 88, -14, 0, -8, 138, 0, -32, 74, 0, -55, 12, 0, -76, -7, 0, -13, -10, 0, 20, -58, 0, 5, 24, 0, 150, 0, 0, 78, 152, 0, 20, 59, 0, -80, -112, 0, -30, -51, 0, -44, -80, 0, 42, 38, 0, 44, 4, 0, 64, 30, 0, 30, 76, 0, 136, 55, 0, -30, 118, 0, 98, -40, 0, 8, 200, 0, -50, 6, 0, 1, -80, 0, -42, -11, 0, -34, -28, 0, -108, -8, 0, 10, 50, 0, 84, -16, 0, -44, -70, 0, 188, -4, 0, -20, 64, 0, 28, -60, 0, -4, 64, 0, -12, 83, 0, -28, -32, 0, 144, 24, 0, -36, 100, 0, -72, -27, 0, -70, -78, 0, -54, 4, 0, -26, 30, 0, 52, 140, 0, -47, -114, 0, -112, 0, 0, 11, 10, 0, 112, -25, 0, 5, 120, 0, -4, 40, 0, 81, -202, 0, 124, 24, 0, -28, 92, 0, -6, -129, 0, -14, -166, 0, -136, 6, 0, -28, 0, 0, 64, -33, 0, 8, 168, 0, 172, 16, 0, 47, 52, 0, 188, 25, 0, -13, 146, 0, 60, 68, 0, -80, 148, 0, -52, 20, 0, -22, -14, 0, 148, -23, 0, 20, 102, 0, -156, -48, 0, -29, 92, 0, -8, 12, 0, -112, -56, 0, 46, -49, 0, 190, 64, 0, 148, -20, 0, -92, 54, 0, -56, -84, 0, 22, -60, 0, -80, 32, 0, -65, 20, 0, -86, 7, 0, 16, 44, 0, -32, -4, 0, -36, -168, 0, 160, 114, 0, 38, -16, 0, 112, 48, 0, 37, 56, 0, -128, -30, 0, 106, 92, 0, 136, 11, 0, -54, -78, 0, 76, 6, 0, -44, 32, 0, -108, -29, 0, 99, 56, 0, -122, 100, 0, 24, -216, 0, -44, 60, 0, -152, -36, 0, 8, -23, 0, -38, -112, 0, 34, -156, 0, -103, -112, 0, 250, -14, 0, 154, -8, 0, 156, -104, 0, 5, -184, 0, -112, -14, 0, -14, 104, 0, -88, -20, 0, 23, -68, 0, -44, -70, 0, -52, 50, 0, -136, 28, 0, 68, 2, 0, -170, 13, 0, -18, 76, 0, 106, 130, 0, -31, 4, 0, 32, -28, 0, 90, -62, 0, 0, 64, 0, -80, 96, 0, 68, -88, 0, 6, 108, 0, 124, -11, 0, -1, 4, 0, 94, 152, 0, 66, 0, 0, -48, -10, 0, 0, 108, 0, -6, -152, 0, -2, 48, 0, -64, 32, 0, 33, -28, 0, -72, -100, 0, 16, 46, 0, -80, -68, 0, -80, 40, 0, 60, 5, 0, 50, -52, 0, -8, -100, 0, 97, 64, 0, 28, 104, 0, -119, -84, 0, 128, -69, 0, 16, -92, 0, -26, 74, 0, -82, 6, 0, 54, -5, 0, -20, -58, 0, 30, 6, 0, 87, 52, 0, 4, -86, 0, -14, 36, 0, 12, 4, 0, 10, -4, 0, 32, 70, 0, -84, 264, 0, 118, -14, 0, 68, 84, 0, 12, 10, 0, -76, -16, 0, 0, -60, 0, 9, 46, 0, 36, -34, 0, 0, 240, 0, 184, 95, 0, -7, -208, 0, -200, 1, 0, 15, 148, 0, -100, 16, 0, -78, -28, 0, -76, -92, 0, 2, -4, 0, -64, -86, 0, -36, 136, 0, 28, 42, 0, 24, 44, 0, 124, 11, 0, 8, 154, 0, 0, 33, 0, -92, 140, 0, -50, 40, 0, -64, -96, 0, 32, -56, 0, -14, 76, 0, -4, 78, 0, -2, 144, 0, -176, -7, 0, -44, -24, 0, 74, -41, 0, 41, -14, 0, 128, -131, 0, 20, -118, 0, 152, -115, 0, -26, -20, 0, 92, 42, 0, -4, -12, 0, -40, -12, 0, 88, -172, 0, -14, -43, 0, -58, -180, 0, -140, -41, 0, -44, -8, 0, -126, -30, 0, 22, -76, 0, 164, 24, 0, 53, 328, 0, -12, 14, 0, 158, 276, 0, -84, -116, 0, -6, 22, 0, 348, 48, 0, -25, -2, 0, 16, 36, 0, 40, -48, 0, -32, 44, 0, -68, 126, 0, -22, -52, 0, -9, -248, 0, -38, -18, 0, 40, -40, 0, 112, 64, 0, 64, -20, 0, -76, -130, 0, -26, -124, 0, -148, 72, 0, -25, 54, 0, 152, 11, 0, -26, 12, 0, -32, -52, 0, 54, 124, 0, 116, -76, 0, -88, -26, 0, -68, 76, 0, -49, -350, 0, 200, 62, 0, -169, -108, 0, -16, 1, 0, -136, -216, 0, 72, -9, 0, 88, 48, 0, -264, -188, 0, 200, 24, 0, -48, -54, 0, -46, 24, 0, 2, -72, 0, 32, -138, 0, -36, 17, 0, -112, -116, 0, 16, 112, 0, -56, 0, 0, 60, 72, 0, 5, -16, 0, 280, -74, 0, 5, -244, 0, 32, -117, 0, 7, 128, 0, 68, 50, 0, 0, -108, 0, -88, -46, 0, 34, -60, 0, -140, 103, 0, -113, -8, 0, -112, 64, 0, 46, 2, 0, -220, 109, 0, -26, -76, 0, -146, -4, 0, -16, 116, 0, 54, 4, 0, -12, -204, 0, 180, -139, 0, -30, 4, 0, -222, 30, 0, 17, -6, 0, -244, 25, 0, -82, 212, 0, -174, 19, 0, 59, 112, 0, -16, -76, 0, -15, 132, 0, -282, 42, 0, 7, -18, 0, 28, -16, 0, 14, -216, 0, 132, 32, 0, 115, 176, 0, -204, 30, 0, -5, 16, 0, -6, -137, 0, -75, 278, 0, 36, -95, 0, 90, -8, 0, 46, -22, 0, 20, -260, 0, 40, 142, 0, -84, -252, 0, 320, 26, 0, 50, -116, 0, -148, -64, 0, -176, -140, 0, 134, 5, 0, -96, -56, 0, 88, -62, 0, -14, 228, 0, 96, 84, 0, -12, 28, 0, -122, 43, 0, 36, 144, 0, 154, -12, 0, -43, -124, 0, 100, 24, 0, -148, -24, 0, -76, 134, 0, 6, -152, 0, -4, 60, 0, -63, -4, 0, 68, 34, 0, -154, -142, 0, -76, 6, 0, -108, -212, 0, -368, -12, 0, 7, -2, 0, 30, 12, 0, -50, 8, 0, -14, -308, 0, 10, 90, 0, -16, 20, 0, -106, 122, 0, 20, 22, 0, -65, -20, 0, 20, -52, 0, -112, -124, 0, 22, 92, 0, -58, 128, 0, 128, 17, 0, -103, -8, 0, -360, 4, 0, -8, 46, 0, 12, 78, 0, -12, 132, 0, -72, 41, 0, 85, -28, 0, 0, -54, 0, -89, -176, 0, -276, 188, 0, -46, 108, 0, -100, -36, 0, 30, 20, 0, -130, 64, 0, 18, 232, 0, -292, -130, 0, -54, -24, 0, 140, 90, 0, 24, 22, 0, 184, 60, 0, -164, -30, 0, -136, 41, 0, -172, 336, 0, 42, 172, 0, -118, -164, 0, 28, -34, 0, 45, -20, 0, 0, 190, 0, -18, -48, 0, 8, -5, 0, -44, -18, 0, 72, 25, 0, 52, 20, 0, -92, -46, 0, 177, -82, 0, 102, 125, 0, -20, -8, 0, -242, -238, 0, 4, -288, 0, 212, -7, 0, 46, 150, 0, -40, -30, 0, 48, -36, 0, 8, 32, 0, 40, 28, 0, 124, 84, 0, 248, -68, 0, 132, -26, 0, 18, -132, 0, 264, -16, 0, -100, 156, 0, 136, 7, 0, 2, 208, 0, 0, -164, 0, 30, 178, 0, -196, 68, 0, -156, -38, 0, -82, 52, 0, 3, 56, 0, 48, -32, 0, 19, -136, 0, 142, -3, 0, -48, 60, 0, 48, 96, 0, 22, 72, 0, 36, 40, 0, 50, -166, 0, 88, -59, 0, 5, 152, 0, 0, 0, 0, 68, -188, 0, 52, -8, 0, 178, -64, 0, 0, -1, 0, -180, -208, 0, -96, -74, 0, 45, -2, 0, 44, -72, 0, 65, 240, 0, -116, -49, 0, 17, 52, 0, 156, -21, 0, 100, 184, 0, -60, -15, 0, -130, -180, 0, -120, 38, 0, -38, 60, 0, 116, -288, 0, 4, -8, 0, 32, -36, 0, -56, 108, 0, -116, 23, 0, 45, 156, 0, 12, -52, 0, -107, 22, 0, 100, 90, 0, 120, -36, 0, 90, 17, 0, -38, 40, 0, -196, -78, 0, 40, 182, 0, -32, 17, 0, -37, -176, 0, -28, 75, 0, 67, 144, 0, 148, -84, 0, 72, -112, 0, -44, 104, 0, -48, -196, 0, 108, 17, 0, -27, -184, 0, 144, 76, 0, 68, 200, 0, 14, 1, 0, -84, -68, 0, 14, 118, 0, 76, -172, 0, 196, -6, 0, 28, -146, 0, 24, -118, 0, -4, 38, 0, 122, -51, 0, -35, 182, 0, 42, -31, 0, -10, -132, 0, -130, 125, 0, 103, 16, 0, 64, 118, 0, 14, -202, 0, -130, 86, 0, 136, 288, 0, 48, 70, 0, 76, 104, 0, 22, -106, 0, 173, -120, 0, 144, -128, 0, -40, -88, 0, 200, -132, 0, 5, -230, 0, 140, -35, 0, -124, -92, 0, 118, -24, 0, -216, -6, 0, -8, -18, 0, -46, -118, 0, -112, 16, 0, -60, -64, 0, -30, 27, 0, 32, -104, 0, -274, 11, 0, 84, -8, 0, 96, -27, 0, 208, 196, 0, 108, -89, 0, -125, 18, 0, 306, 4, 0, 100, -4, 0, -72, 188, 0, 53, -148, 0, -32, -169, 0, -148, 168, 0, -374, -56, 0, -84, 222, 0, 52, 84, 0, 179, -332, 0, -6, 84, 0, -72, 20, 0, 84, 92, 0, 0, 148, 0, -124, 12, 0, -228, -100, 0, 168, -22, 0, 21, -92, 0, -50, -2, 0, -90, -26, 0, -16, -78, 0, 29, -44, 0, -92, -107, 0, -34, 384, 0, -6, 34, 0, -120, 244, 0, -36, -41, 0, 147, -112, 0, -60, -72, 0, 29, 180, 0, 108, 208, 0, 132, 52, 0, -258, 30, 0, -100, 208, 0, -112, -42, 0, 162, 312, 0, -120, 16, 0, 116, -8, 0, -28, -102, 0, 22, -136, 0, 44, -2, 0, -2, 32, 0, 116, -86, 0, -33, -28, 0, 88, -166, 0, 53, -184, 0, 112, -6, 0, 86, 236, 0, 70, 208, 0, 76, -100, 0, -100, 66, 0, -96, 134, 0, -96, -8, 0, -6, 220, 0, -24, 252, 0, -54, -92, 0, -228, 41, 0, -14, 136, 0, 20, -172, 0, 58, 404, 0, 56, -98, 0, 89, -84, 0, -196, 23, 0, -14, 32, 0, 14, -154, 0, 174, 192, 0, 338, -6, 0, 34, -268, 0, -96, -92, 0, 99, -24, 0, -76, 167, 0, -32, -56, 0, 272, -138, 0, -6, -64, 0, 216, 48, 0, 130, 350, 0, -240, 2, 0, -24, 76, 0, 72, -81, 0, 120, -330, 0, -94, 38, 0, 116, 36, 0, 78, -64, 0, 26, 24, 0, -40, -38, 0, 53, 52, 0, -24, -8, 0, 109, 164, 0, 4, 48, 0, -36, 196, 0, 28, -241, 0, 165, 28, 0, 0, 48, 0, -26, -4, 0, 20, -40, 0, -60, -6, 0, -96, -4, 0, 61, -112, 0, -102, -88, 0, -84, -52, 0, -16, -114, 0, -74, 26, 0, 108, -10, 0, 52, 134, 0, 104, -4, 0, -87, 116, 0, 296, 4, 0, -44, -440, 0, -72, 130, 0, -36, -96, 0, 248, -241, 0, 44, 32, 0, 244, 182, 0, -26, 184, 0, 204, 128, 0, 32, 58, 0, 44, -8, 0, 142, -216, 0, -16, -25, 0, 4, 322, 0, -192, 202, 0, -56, 18, 0, -222, -123, 0, 12, 36, 0, -40, -198, 0, 120, -160, 0, -348, -4, 0, 103, -254, 0, -38, 30, 0, 6, 32, 0, -102, 84, 0, 24, -22, 0, -76, 162, 0, 23, 4, 0, 192, -16, 0, -77, -132, 0, -48, -84, 0, -76, 124, 0, 10, 6, 0, -116, 48, 0, -72, -176, 0, -216, 6, 0, 220, -49, 0, 28, -20, 0, 168, 239, 0, 160, -148, 0, 104, 29, 0, -107, 100, 0, -8, -54, 0, -60, 50, 0, 172, -20, 0, -62, 162, 0, -108, -8, 0, 23, -68, 0, -332, 14, 0, 92, -272, 0, 12, 69, 0, 27, 152, 0, -134, -108, 0, 118, 86, 0, 160, 300, 0, -72, -12, 0, -176, -6, 0, 22, -152, 0, 112, 60, 0, -88, 72, 0, -82, -37, 0, -14, 4, 0, 8, 245, 0, -146, 92, 0, 244, 162, 0, 52, 0, 0, -64, -220, 0, -55, -112, 0, 40, 50, 0, -57, 76, 0, 238, 2, 0, -113, -288, 0, -52, 100, 0, 100, 64, 0, 252, 7, 0, 102, -58, 0, 312, -310, 0, 30, 198, 0, 62, 4, 0, 116, -52, 0, 132, 45, 0, -78, 190, 0, 56, 44, 0, 291, 232, 0, 226, -182, 0, -86, -56, 0, 12, 257, 0, -36, 120, 0, 120, 76, 0, 59, 316, 0, 24, -6, 0, -144, -128, 0, -154, -178, 0, -30, 4, 0, -294, -16, 0, 123, -112, 0, -242, -16, 0, 86, -268, 0, 44, 70, 0, 5, -328, 0, -72, -30, 0, -100, -282, 0, 36, 27, 0, 38, 68, 0, -256, 80, 0, 98, -104, 0, 40, -40, 0, 10, 232, 0, -180, 111, 0, -157, -324, 0, 44, 24, 0, 300, -2, 0, 60, -90, 0, -24, 186, 0, 232, 0, 0, 89, -8, 0, 332, -16, 0, 8, -184, 0, -412, -60, 0, 8, 8, 0, -180, 106, 0, 240, -288, 0, -48, -32, 0, 52, 96, 0, 284, -52, 0, -63, 80, 0, -126, 24, 0, -16, 12, 0, -4, 64, 0, 91, -20, 0, 8, 20, 0, 82, 200, 0, 82, -14, 0, -110, -140, 0, -40, 130, 0, 24, -8, 0, 12, -168, 0, -24, 120, 0, -52, 45, 0, 152, 178, 0, -116, 26, 0, -26, 112, 0, 60, 142, 0, -147, -208, 0, -356, -25, 0, -192, 28, 0, -252, 54, 0, 34, -88, 0, 464, 17, 0, -120, 48, 0, 38, 87, 0, 74, -112, 0, -100, 42, 0, -244, 152, 0, -40, -82, 0, -108, 0, 0, -116, -140, 0, -4, -94, 0, 192, 24, 0, 136, -52, 0, -556, -20, 0, -197, 170, 0, 98, 156, 0, 55, 20, 0, -76, 214, 0, 206, 24, 0, -222, 88, 0, -43, 8, 0, -312, 46, 0, 47, 266, 0, 48, 29, 0, -166, -396, 0, -32, -168, 0, 28, 212, 0, 124, 162, 0, 128, -40, 0, 62, 49, 0, 30, -362, 0, 8, 151, 0, 52, -124, 0, 88, 16, 0, -224, 132, 0, -16, 96, 0, -98, 244, 0, -122, 199, 0, 42, 16, 0, -176, -164, 0, 39, 104, 0, 116, 131, 0, -72, -304, 0, 294, -14, 0, -180, -268, 0, 90, 101, 0, 16, 196, 0, -204, -72, 0, -48, 92, 0, 20, -23, 0, -9, 12, 0, -146, 160, 0], '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], [-1.5238860912272763, 0.0], [0.0, 0.0], [1.3222288190359464, 0.0], [0.4472135954999579, 0.0], [0.0, 0.0], [-0.9922356360842036, 0.0], [-0.4910400155214697, 0.0], [0.0, 0.0], [-0.6815025779901271, 0.0], [0.4958226335562298, 0.0], [0.0, 0.0], [0.6774375937002656, 0.0], [1.5120540850487671, 0.0], [0.0, 0.0], [-0.5739397691467529, 0.0], [0.14036737155064807, 0.0], [0.0, 0.0], [1.193319615999478, 0.0], [0.5913187042347289, 0.0], [0.0, 0.0], [-0.7555772149920171, 0.0], [-1.7158926352605521, 0.0], [0.0, 0.0], [0.2, 0.0], [-1.0323377267143092, 0.0], [0.0, 0.0], [-1.3119625533049977, 0.0], [-0.14228524212917085, 0.0], [0.0, 0.0], [0.7569504281880364, 0.0], [1.3656588469264002, 0.0], [0.0, 0.0], [-0.21390388516816386, 0.0], [-0.44374126639640454, 0.0], [0.0, 0.0], [0.1643989873053573, 0.0], [-1.8184831652102784, 0.0], [0.0, 0.0], [-0.21959977087571161, 0.0], [0.25682113560413933, 0.0], [0.0, 0.0], [-0.2926342699577612, 0.0], [0.6555909752183465, 0.0], [0.0, 0.0], [2.614824920912873, 0.0], [1.3952607018962322, 0.0], [0.0, 0.0], [-0.015468442484575786, 0.0], [-0.30477721824545523, 0.0], [0.0, 0.0], [0.8957275094888554, 0.0], [-1.063469297725563, 0.0], [0.0, 0.0], [0.22173862268293962, 0.0], [0.4872274021437427, 0.0], [0.0, 0.0], [0.2168265014675487, 0.0], [1.6971290845812361, 0.0], [0.0, 0.0], [-0.49470716571824297, 0.0], [-1.1535062292642797, 0.0], [0.0, 0.0], [-1.5071687530458684, 0.0], [0.3029593020055354, 0.0], [0.0, 0.0], [1.399648363803382, 0.0], [0.18559778391659332, 0.0], [0.0, 0.0], [0.6762111439650583, 0.0], [0.3022614959858253, 0.0], [0.0, 0.0], [-1.1466893505658662, 0.0], [-0.25052533016648354, 0.0], [0.0, 0.0], [1.5778415865954185, 0.0], [-0.49197288619161067, 0.0], [0.0, 0.0], [-0.2040501776778742, 0.0], [-0.2566736677605352, 0.0], [0.0, 0.0], [-0.3913661564803421, 0.0], [-1.2054564335971245, 0.0], [0.0, 0.0], [0.06277419692204383, 0.0], [0.44594129380508024, 0.0], [0.0, 0.0], [-0.24346875367734705, 0.0], [0.9390678045674264, 0.0], [0.0, 0.0], [-0.6721777216925353, 0.0], [-2.2688026927130376, 0.0], [0.0, 0.0], [-2.1262183772556753, 0.0], [0.5336687560517556, 0.0], [0.0, 0.0], [-1.0722522070142158, 0.0], [0.023572144355194134, 0.0], [0.0, 0.0], [0.26444576380718926, 0.0]], 'angles': [-0.3878772033934173, None, None, -0.3326207987971528, -0.21012791937698103, -0.19500323481128884, -0.2388207289279516, -0.14824709246420956, -0.41412992133886534, -0.26133227283787, -0.18822426153853997, None, -0.22950623679229673, -0.27337099722377617, -0.12711890401493076, -0.3392298143135123, -0.08873365926921428, -0.2897804609289868, -0.12663083391164706, -0.22585427573282904, -0.3471771972877487, -0.2662661001768411, -0.3529598407867889, -0.17221098505983956, -0.3400564256977244, -0.2571951383580635, -0.05937241585733884, -0.32747229252674154, -0.1617365975232041, -0.23298520924665964, -0.06796688335500906, -0.15443396186445355, -0.34607237628707477, -0.16436969428176273, -0.09474081392418872, -0.1385874221502683, -0.13059546655619214, -0.20695976192533716, -0.2195851591256848, -0.10025348057918367, -0.2037361794285958, -0.3131422807662462, -0.1653443022782094, -0.35184852106445297, -0.12094914207427013, -0.3168909340501356, -0.2583295430764741, -0.21290521627729497, -0.07524454085054551, -0.08539937998554437, -0.3104250164794726, -0.3708226701595388, -0.13039718724848706, -0.21932153442734384, -0.30713212775341275, -0.41163268410297976, -0.12695727240840124, -0.2213505432486185, -0.14218850957416931, -0.24771199809013775, -0.24578505803561157, -0.16945895745189116, -0.1250369369521649, -0.38974048221689833, -0.289599703252614, -0.28378069668027467, -0.29631580356563103, -0.3006995588492487, -0.33820243198720384, -0.34988412692707743, -0.25894279706017115, -0.22053341016729644, -0.20978556607772061, -0.22790114668539718, -0.395578543408147, -0.21183595259960794, -0.33029242797619757, -0.28313090489281334, -0.29527823358431426, -0.15808316077925744, -0.18741431880317494, -0.24021273524628853, -0.35280481650463824, -0.32146200521999607, -0.29314791205594376, -0.06651290171139213, -0.4445455436751055, -0.29458226079331234, -0.29794836675501296, -0.25256958384123696, -0.2584046431416391, -0.14997968905835327, -0.3196354870976101, -0.3188043072789055, -0.28357586526194895, -0.15330019493842328, -0.12175356166097268, -0.26080353862254685, -0.15825462377405727, -0.399169855781504], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -0.3831147392443112, 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444113537, 'label': '1665.2.a.p.1.2', 'level': 1665, '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': [7, 5, 7, 5, 10, 7, 7, 12], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [1, 2, 2, 2, 2, 2, 2, 2], 'ALdims_old': [17, 26, 24, 18, 18, 21, 21, 16], 'Nk2': 6660, 'analytic_conductor': 13.295091936543184, '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': [1665, 1, [371, 667, 631], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 221, 'dim': 60, 'eis_dim': 15, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7], 'hecke_orbit_code': 33556097, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 5, 5, 5, 5, 5, 6, 6], 'label': '1665.2.a', 'level': 1665, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 37], 'level_radical': 555, 'mf_dim': 236, 'mf_new_dim': 60, 'num_forms': 21, 'plus_dim': 26, 'prim_orbit_index': 1, 'relative_dim': 60, 'sturm_bound': 456, 'trace_bound': 7, 'trace_display': [2, 0, 2, 0], 'traces': [60, 2, 0, 64, 2, 0, 0, 18, 0, 4, 4, 0, -8, -12, 0, 64, 8, 0, -4, -2, 0, 0, 0, 0, 60, -8, 0, 4, 8, 0, -4, 18, 0, 0, 8, 0, -2, 4, 0, 0, 20, 0, -8, 48, 0, 8, -36, 0, 32, 2, 0, -8, -12, 0, -8, -16, 0, 20, 4, 0, -12, 44, 0, 48, 0, 0, 0, -8, 0, -20, -12, 0, -28, 0, 0, 8, 16, 0, -16, -2, 0, -12, -32, 0, 4, 8, 0, 56, 16, 0, 0, 24, 0, 40, -8, 0, -52, 94, 0, 64, -12, 0, 8, 32, 0, 8, -8, 0, 12, -20, 0, 80, -8, 0, 4, 32, 0, -20, -48, 0, 48, -16, 0, -80, 2, 0, -8, 66, 0, 4, -56, 0, -60, -68, 0, -56, -4, 0, -80, 28, 0, -64, 8, 0, -16, 0, 0, -6, 100, 0, 0, 24, 0, -8, -24, 0, -32, -16, 0, 24, 52, 0, -32, 24, 0, -28, 16, 0, 52, 4, 0, -56, -16, 0, 0, 160, 0, -84, 116, 0, -44, -16, 0, 8, 8, 0, 40, -208, 0, 12, -48, 0, 36, -48, 0, -48, -72, 0, 24, 18, 0, -136, -32, 0, -20, -56, 0, -184, -8, 0, -76, 20, 0, 28, 8, 0, -76, 8, 0, -16, -144, 0, -72, -132, 0, 48, 32, 0, -12, 48, 0, 76, -92, 0, -36, 0, 0, -24, 88, 0, 12, -150, 0, -100, 10, 0, 8, -88, 0, 4, 0, 0, 24, -28, 0, 160, 8, 0, 0, -20, 0, -64, 20, 0, 40, 88, 0, 76, -40, 0, -28, 32, 0, -24, 4, 0, 56, -40, 0, -4, 68, 0, 80, 96, 0, 144, 84, 0, 36, -32, 0, -116, -36, 0, 20, 0, 0, 168, -80, 0, -4, -88, 0, -12, 12, 0, -76, 200, 0, -8, 72, 0, -108, -204, 0, 108, -80, 0, -72, 62, 0, 12, 80, 0, -8, 48, 0, -108, -52, 0, 64, -412, 0, -200, 12, 0, -12, 118, 0, 12, -104, 0, 228, 0, 0, 116, 56, 0, 56, -12, 0, -80, -12, 0, -16, -8, 0, 44, -60, 0, 28, 176, 0, -64, 56, 0, 84, 64, 0, -6, 108, 0, 232, -80, 0, -132, -160, 0, -28, -36, 0, 32, 80, 0, -8, 40, 0, -60, 4, 0, 136, -2, 0, -220, 28, 0, 124, 112, 0, 64, 144, 0, -44, -272, 0, 56, 32, 0, -116, -84, 0, -192, -132, 0, -44, 160, 0, -8, 148, 0, 28, -16, 0, -56, 8, 0, 64, -100, 0, -56, -68, 0, -28, 0, 0, 44, -100, 0, 180, 8, 0, -216, 20, 0, 24, -180, 0, 220, 124, 0, -52, 32, 0, -280, -48, 0, -28, -308, 0, 0, 8, 0, -88, -152, 0, -96, 144, 0, 0, -40, 0, -224, 0, 0, -4, 0, 0, -48, -112, 0, 4, -152, 0, -32, 4, 0, 136, 8, 0, 52, -8, 0, -8, 160, 0, 12, 80, 0, -16, -2, 0, 200, 200, 0, -36, 256, 0, -332, 28, 0, -84, 74, 0, -72, 8, 0, 144, -12, 0, 12, 44, 0, -40, 60, 0, 432, 132, 0, 20, -24, 0, -164, -32, 0, -8, -176, 0, 208, 64, 0, -24, 112, 0, 24, 60, 0, -40, 156, 0, 0, 48, 0, -92, 56, 0, -32, -96, 0, 40, 72, 0, 200, 8, 0, -4, 32, 0, -16, -20, 0, 92, -112, 0, -36, 0, 0, -96, 174, 0, -28, -28, 0, 176, -88, 0, 24, -8, 0, 200, 88, 0, -14, 176, 0, 36, -16, 0, 208, 140, 0, -136, -44, 0, -48, -22, 0, -88, -52, 0, -52, -8, 0, -260, 112, 0, -104, 48, 0, 204, -88, 0, 8, -16, 0, 60, -336, 0, -168, -12, 0, 188, 84, 0, 108, -68, 0, -104, -256, 0, 80, -12, 0, -24, 28, 0, 144, 184, 0, -112, -8, 0, -24, 68, 0, 16, -128, 0, 260, 108, 0, -148, 408, 0, -8, -36, 0, -16, 216, 0, 20, 88, 0, 40, -56, 0, -48, 144, 0, 116, -60, 0, 8, 168, 0, 88, -12, 0, 40, -72, 0, 24, -168, 0, 104, 80, 0, -56, -160, 0, 4, -244, 0, -12, 280, 0, 96, 116, 0, 64, -156, 0, -28, -68, 0, 28, 256, 0, 96, -92, 0, 100, -42, 0, 120, 8, 0, 128, 48, 0, -8, 136, 0, 132, -64, 0, -24, -48, 0, 36, 24, 0, 104, -212, 0, -92, 100, 0, -152, -8, 0, 4, -460, 0, 160, 0, 0, 212, -96, 0, -16, -12, 0, -8, -108, 0, 240, 60, 0, -120, 28, 0, -68, -248, 0, -4, -72, 0, -48, 28, 0, -28, 272, 0, -400, 108, 0, -188, -136, 0, 116, 184, 0, 80, 216, 0, -412, 88, 0, -144, 18, 0, -44, -16, 0, -24, -100, 0, -312, -144, 0, 236, 232, 0, 40, -52, 0, -228, -120, 0, 28, 108, 0, 220, 72, 0, -24, -32, 0, -260, -8, 0, -360, -48, 0, 52, -160, 0, -96, -64, 0, -60, 32, 0, -184, -82, 0, -24, 28, 0, 0, -8, 0, -180, -32, 0, 144, -292, 0, 304, -24, 0, -4, -20, 0, 28, -32, 0, -164, -280, 0, -76, -216, 0, -220, 8, 0, -112, 124, 0, -72, -192, 0, -128, -200, 0, 0, -280, 0, -140, 64, 0, -268, 220, 0, 100, -312, 0, 32, 16, 0, -112, 208, 0, -192, -12, 0, 72, -264, 0, -124, 76, 0, -104, -88, 0, 96, 84, 0, 132, 104, 0, 36, 48, 0, -2, -264, 0, 132, -24, 0, 0, -284, 0, -96, -64, 0, 76, -76, 0, -80, -136, 0, 96, 372, 0, -112, -104, 0, 80, 4, 0, 0, -72, 0, 40, 180, 0, 232, -120, 0, 252, 28, 0, 20, -52, 0, 248, 18, 0, -108, 168, 0, 168, 448, 0, -340, -44, 0, -72, 190, 0, 240, 76, 0, 20, 104, 0, 304, 48, 0, 48, -44, 0, 32, 12, 0, 100, 256, 0, 0], '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: 47889082
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444113537, 'source_is_minimal': False, 'source_label': '1665.2.a.p.1.2', 'source_level': 1665, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 2, 'target_hecke_orbit_code': 67553994444113537, 'target_is_minimal': False, 'target_label': '1665.2.a.p.1.2', 'target_level': 1665, 'twist_class_label': '185.2.a.e.1.4', 'twist_class_level': 185, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47889083
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444113537, 'source_is_minimal': False, 'source_label': '1665.2.a.p.1.2', 'source_level': 1665, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18014398543036601, 'target_is_minimal': True, 'target_label': '185.2.a.e.1.4', 'target_level': 185, 'twist_class_label': '185.2.a.e.1.4', 'twist_class_level': 185, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47889084
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444113537, 'source_is_minimal': False, 'source_label': '1665.2.a.p.1.2', 'source_level': 1665, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 4, 'target_hecke_orbit_code': 265712378048422021, 'target_is_minimal': False, 'target_label': '8325.2.a.ch.1.4', 'target_level': 8325, 'twist_class_label': '185.2.a.e.1.4', 'twist_class_level': 185, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 47889085
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444113537, 'source_is_minimal': False, 'source_label': '1665.2.a.p.1.2', 'source_level': 1665, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 99079191835708304, 'target_is_minimal': False, 'target_label': '2960.2.a.w.1.3', 'target_level': 2960, 'twist_class_label': '185.2.a.e.1.4', 'twist_class_level': 185, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 47889086
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444113537, 'source_is_minimal': False, 'source_label': '1665.2.a.p.1.2', 'source_level': 1665, 'target_conrey_index': 149, 'target_dim': 10, 'target_embedding_index': 8, 'target_hecke_orbit_code': 22518066889884573, 'target_is_minimal': False, 'target_label': '925.2.b.f.149.8', 'target_level': 925, 'twist_class_label': '185.2.a.e.1.4', 'twist_class_level': 185, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47889087
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444113537, 'source_is_minimal': False, 'source_label': '1665.2.a.p.1.2', 'source_level': 1665, 'target_conrey_index': 149, 'target_dim': 10, 'target_embedding_index': 3, 'target_hecke_orbit_code': 22518066889884573, 'target_is_minimal': False, 'target_label': '925.2.b.f.149.3', 'target_level': 925, 'twist_class_label': '185.2.a.e.1.4', 'twist_class_level': 185, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 47889088
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444113537, 'source_is_minimal': False, 'source_label': '1665.2.a.p.1.2', 'source_level': 1665, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22517998170407837, 'target_is_minimal': False, 'target_label': '925.2.a.f.1.2', 'target_level': 925, 'twist_class_label': '185.2.a.e.1.4', 'twist_class_level': 185, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 47889089
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444113537, 'source_is_minimal': False, 'source_label': '1665.2.a.p.1.2', 'source_level': 1665, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 4, 'target_hecke_orbit_code': 45035996307268457, 'target_is_minimal': False, 'target_label': '9065.2.a.k.1.4', 'target_level': 9065, 'twist_class_label': '185.2.a.e.1.4', 'twist_class_level': 185, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 2}
  • id: 47889090
    {'conductor': 111, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994444113537, 'source_is_minimal': False, 'source_label': '1665.2.a.p.1.2', 'source_level': 1665, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22517998170413757, 'target_is_minimal': False, 'target_label': '6845.2.a.f.1.2', 'target_level': 6845, 'twist_class_label': '185.2.a.e.1.4', 'twist_class_level': 185, 'twisting_char_label': '111.110', 'twisting_conrey_index': 110, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2114000
    {'charpoly_factorization': [[[12, 11, -14, -8, 2, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 2}
  • id: 2114001
    {'charpoly_factorization': [[[0, 1], 5]], 'hecke_orbit_code': 67553994444113537, 'p': 3}
  • id: 2114002
    {'charpoly_factorization': [[[-1, 1], 5]], 'hecke_orbit_code': 67553994444113537, 'p': 5}
  • id: 2114003
    {'charpoly_factorization': [[[302, -268, 32, 32, -11, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 7}
  • id: 2114004
    {'charpoly_factorization': [[[-96, 16, 48, -8, -5, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 11}
  • id: 2114005
    {'charpoly_factorization': [[[-256, 148, 60, -28, -4, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 13}
  • id: 2114006
    {'charpoly_factorization': [[[-192, 356, -12, -52, 0, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 17}
  • id: 2114007
    {'charpoly_factorization': [[[-8, 78, -66, -38, 4, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 19}
  • id: 2114008
    {'charpoly_factorization': [[[-192, 784, -208, -72, 4, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 23}
  • id: 2114009
    {'charpoly_factorization': [[[192, 304, 48, -32, -4, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 29}
  • id: 2114010
    {'charpoly_factorization': [[[324, -702, 342, -30, -8, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 31}
  • id: 2114011
    {'charpoly_factorization': [[[-1, 1], 5]], 'hecke_orbit_code': 67553994444113537, 'p': 37}
  • id: 2114012
    {'charpoly_factorization': [[[-96, 16, 48, -8, -5, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 41}
  • id: 2114013
    {'charpoly_factorization': [[[-2528, 336, 752, -80, -10, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 43}
  • id: 2114014
    {'charpoly_factorization': [[[978, -520, -592, -92, 7, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 47}
  • id: 2114015
    {'charpoly_factorization': [[[-528, 4816, 40, -144, -1, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 53}
  • id: 2114016
    {'charpoly_factorization': [[[576, 998, -1134, 302, -30, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 59}
  • id: 2114017
    {'charpoly_factorization': [[[3296, -112, -432, -8, 14, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 61}
  • id: 2114018
    {'charpoly_factorization': [[[10952, -9486, 1314, 94, -24, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 67}
  • id: 2114019
    {'charpoly_factorization': [[[7104, -6016, 1632, -132, -7, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 71}
  • id: 2114020
    {'charpoly_factorization': [[[368, 2592, -200, -192, -5, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 73}
  • id: 2114021
    {'charpoly_factorization': [[[-19508, -8542, 1562, 134, -28, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 79}
  • id: 2114022
    {'charpoly_factorization': [[[-4818, -4820, -376, 178, 27, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 83}
  • id: 2114023
    {'charpoly_factorization': [[[-22944, 16400, -528, -248, 6, 1], 1]], 'hecke_orbit_code': 67553994444113537, 'p': 89}
  • id: 2114024
    {'charpoly_factorization': [[[-166976, -63680, -7184, -88, 26, 1], 1]], 'hecke_orbit_code': 67553994444113537, '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': 16, 'label': '1665.2.a.p', 'level': 1665, '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: 60386683
    {'hecke_orbit_code': 67553994444113537, 'n': 1, 'trace_an': 5}
  • id: 60386684
    {'hecke_orbit_code': 67553994444113537, 'n': 2, 'trace_an': -2}
  • id: 60386685
    {'hecke_orbit_code': 67553994444113537, 'n': 3, 'trace_an': 0}
  • id: 60386686
    {'hecke_orbit_code': 67553994444113537, 'n': 4, 'trace_an': 10}
  • id: 60386687
    {'hecke_orbit_code': 67553994444113537, 'n': 5, 'trace_an': 5}
  • id: 60386688
    {'hecke_orbit_code': 67553994444113537, 'n': 6, 'trace_an': 0}
  • id: 60386689
    {'hecke_orbit_code': 67553994444113537, 'n': 7, 'trace_an': 11}
  • id: 60386690
    {'hecke_orbit_code': 67553994444113537, 'n': 8, 'trace_an': -6}
  • id: 60386691
    {'hecke_orbit_code': 67553994444113537, 'n': 9, 'trace_an': 0}
  • id: 60386692
    {'hecke_orbit_code': 67553994444113537, 'n': 10, 'trace_an': -2}
  • id: 60386693
    {'hecke_orbit_code': 67553994444113537, 'n': 11, 'trace_an': 5}
  • id: 60386694
    {'hecke_orbit_code': 67553994444113537, 'n': 12, 'trace_an': 0}
  • id: 60386695
    {'hecke_orbit_code': 67553994444113537, 'n': 13, 'trace_an': 4}
  • id: 60386696
    {'hecke_orbit_code': 67553994444113537, 'n': 14, 'trace_an': 8}
  • id: 60386697
    {'hecke_orbit_code': 67553994444113537, 'n': 15, 'trace_an': 0}
  • id: 60386698
    {'hecke_orbit_code': 67553994444113537, 'n': 16, 'trace_an': 16}
  • id: 60386699
    {'hecke_orbit_code': 67553994444113537, 'n': 17, 'trace_an': 0}
  • id: 60386700
    {'hecke_orbit_code': 67553994444113537, 'n': 18, 'trace_an': 0}
  • id: 60386701
    {'hecke_orbit_code': 67553994444113537, 'n': 19, 'trace_an': -4}
  • id: 60386702
    {'hecke_orbit_code': 67553994444113537, 'n': 20, 'trace_an': 10}
  • id: 60386703
    {'hecke_orbit_code': 67553994444113537, 'n': 21, 'trace_an': 0}
  • id: 60386704
    {'hecke_orbit_code': 67553994444113537, 'n': 22, 'trace_an': -8}
  • id: 60386705
    {'hecke_orbit_code': 67553994444113537, 'n': 23, 'trace_an': -4}
  • id: 60386706
    {'hecke_orbit_code': 67553994444113537, 'n': 24, 'trace_an': 0}
  • id: 60386707
    {'hecke_orbit_code': 67553994444113537, 'n': 25, 'trace_an': 5}
  • id: 60386708
    {'hecke_orbit_code': 67553994444113537, 'n': 26, 'trace_an': 4}
  • id: 60386709
    {'hecke_orbit_code': 67553994444113537, 'n': 27, 'trace_an': 0}
  • id: 60386710
    {'hecke_orbit_code': 67553994444113537, 'n': 28, 'trace_an': 28}
  • id: 60386711
    {'hecke_orbit_code': 67553994444113537, 'n': 29, 'trace_an': 4}
  • id: 60386712
    {'hecke_orbit_code': 67553994444113537, 'n': 30, 'trace_an': 0}
  • id: 60386713
    {'hecke_orbit_code': 67553994444113537, 'n': 31, 'trace_an': 8}
  • id: 60386714
    {'hecke_orbit_code': 67553994444113537, 'n': 32, 'trace_an': -14}
  • id: 60386715
    {'hecke_orbit_code': 67553994444113537, 'n': 33, 'trace_an': 0}
  • id: 60386716
    {'hecke_orbit_code': 67553994444113537, 'n': 34, 'trace_an': -32}
  • id: 60386717
    {'hecke_orbit_code': 67553994444113537, 'n': 35, 'trace_an': 11}
  • id: 60386718
    {'hecke_orbit_code': 67553994444113537, 'n': 36, 'trace_an': 0}
  • id: 60386719
    {'hecke_orbit_code': 67553994444113537, 'n': 37, 'trace_an': 5}
  • id: 60386720
    {'hecke_orbit_code': 67553994444113537, 'n': 38, 'trace_an': 2}
  • id: 60386721
    {'hecke_orbit_code': 67553994444113537, 'n': 39, 'trace_an': 0}
  • id: 60386722
    {'hecke_orbit_code': 67553994444113537, 'n': 40, 'trace_an': -6}
  • id: 60386723
    {'hecke_orbit_code': 67553994444113537, 'n': 41, 'trace_an': 5}
  • id: 60386724
    {'hecke_orbit_code': 67553994444113537, 'n': 42, 'trace_an': 0}
  • id: 60386725
    {'hecke_orbit_code': 67553994444113537, 'n': 43, 'trace_an': 10}
  • id: 60386726
    {'hecke_orbit_code': 67553994444113537, 'n': 44, 'trace_an': 46}
  • id: 60386727
    {'hecke_orbit_code': 67553994444113537, 'n': 45, 'trace_an': 0}
  • id: 60386728
    {'hecke_orbit_code': 67553994444113537, 'n': 46, 'trace_an': 0}
  • id: 60386729
    {'hecke_orbit_code': 67553994444113537, 'n': 47, 'trace_an': -7}
  • id: 60386730
    {'hecke_orbit_code': 67553994444113537, 'n': 48, 'trace_an': 0}
  • id: 60386731
    {'hecke_orbit_code': 67553994444113537, 'n': 49, 'trace_an': 22}
  • id: 60386732
    {'hecke_orbit_code': 67553994444113537, 'n': 50, 'trace_an': -2}
  • id: 60386733
    {'hecke_orbit_code': 67553994444113537, 'n': 51, 'trace_an': 0}
  • id: 60386734
    {'hecke_orbit_code': 67553994444113537, 'n': 52, 'trace_an': -32}
  • id: 60386735
    {'hecke_orbit_code': 67553994444113537, 'n': 53, 'trace_an': 1}
  • id: 60386736
    {'hecke_orbit_code': 67553994444113537, 'n': 54, 'trace_an': 0}
  • id: 60386737
    {'hecke_orbit_code': 67553994444113537, 'n': 55, 'trace_an': 5}
  • id: 60386738
    {'hecke_orbit_code': 67553994444113537, 'n': 56, 'trace_an': -8}
  • id: 60386739
    {'hecke_orbit_code': 67553994444113537, 'n': 57, 'trace_an': 0}
  • id: 60386740
    {'hecke_orbit_code': 67553994444113537, 'n': 58, 'trace_an': -16}
  • id: 60386741
    {'hecke_orbit_code': 67553994444113537, 'n': 59, 'trace_an': 30}
  • id: 60386742
    {'hecke_orbit_code': 67553994444113537, 'n': 60, 'trace_an': 0}
  • id: 60386743
    {'hecke_orbit_code': 67553994444113537, 'n': 61, 'trace_an': -14}
  • id: 60386744
    {'hecke_orbit_code': 67553994444113537, 'n': 62, 'trace_an': -24}
  • id: 60386745
    {'hecke_orbit_code': 67553994444113537, 'n': 63, 'trace_an': 0}
  • id: 60386746
    {'hecke_orbit_code': 67553994444113537, 'n': 64, 'trace_an': 20}
  • id: 60386747
    {'hecke_orbit_code': 67553994444113537, 'n': 65, 'trace_an': 4}
  • id: 60386748
    {'hecke_orbit_code': 67553994444113537, 'n': 66, 'trace_an': 0}
  • id: 60386749
    {'hecke_orbit_code': 67553994444113537, 'n': 67, 'trace_an': 24}
  • id: 60386750
    {'hecke_orbit_code': 67553994444113537, 'n': 68, 'trace_an': -20}
  • id: 60386751
    {'hecke_orbit_code': 67553994444113537, 'n': 69, 'trace_an': 0}
  • id: 60386752
    {'hecke_orbit_code': 67553994444113537, 'n': 70, 'trace_an': 8}
  • id: 60386753
    {'hecke_orbit_code': 67553994444113537, 'n': 71, 'trace_an': 7}
  • id: 60386754
    {'hecke_orbit_code': 67553994444113537, 'n': 72, 'trace_an': 0}
  • id: 60386755
    {'hecke_orbit_code': 67553994444113537, 'n': 73, 'trace_an': 5}
  • id: 60386756
    {'hecke_orbit_code': 67553994444113537, 'n': 74, 'trace_an': -2}
  • id: 60386757
    {'hecke_orbit_code': 67553994444113537, 'n': 75, 'trace_an': 0}
  • id: 60386758
    {'hecke_orbit_code': 67553994444113537, 'n': 76, 'trace_an': 12}
  • id: 60386759
    {'hecke_orbit_code': 67553994444113537, 'n': 77, 'trace_an': 17}
  • id: 60386760
    {'hecke_orbit_code': 67553994444113537, 'n': 78, 'trace_an': 0}
  • id: 60386761
    {'hecke_orbit_code': 67553994444113537, 'n': 79, 'trace_an': 28}
  • id: 60386762
    {'hecke_orbit_code': 67553994444113537, 'n': 80, 'trace_an': 16}
  • id: 60386763
    {'hecke_orbit_code': 67553994444113537, 'n': 81, 'trace_an': 0}
  • id: 60386764
    {'hecke_orbit_code': 67553994444113537, 'n': 82, 'trace_an': -8}
  • id: 60386765
    {'hecke_orbit_code': 67553994444113537, 'n': 83, 'trace_an': -27}
  • id: 60386766
    {'hecke_orbit_code': 67553994444113537, 'n': 84, 'trace_an': 0}
  • id: 60386767
    {'hecke_orbit_code': 67553994444113537, 'n': 85, 'trace_an': 0}
  • id: 60386768
    {'hecke_orbit_code': 67553994444113537, 'n': 86, 'trace_an': -44}
  • id: 60386769
    {'hecke_orbit_code': 67553994444113537, 'n': 87, 'trace_an': 0}
  • id: 60386770
    {'hecke_orbit_code': 67553994444113537, 'n': 88, 'trace_an': -28}
  • id: 60386771
    {'hecke_orbit_code': 67553994444113537, 'n': 89, 'trace_an': -6}
  • id: 60386772
    {'hecke_orbit_code': 67553994444113537, 'n': 90, 'trace_an': 0}
  • id: 60386773
    {'hecke_orbit_code': 67553994444113537, 'n': 91, 'trace_an': -14}
  • id: 60386774
    {'hecke_orbit_code': 67553994444113537, 'n': 92, 'trace_an': -56}
  • id: 60386775
    {'hecke_orbit_code': 67553994444113537, 'n': 93, 'trace_an': 0}
  • id: 60386776
    {'hecke_orbit_code': 67553994444113537, 'n': 94, 'trace_an': 4}
  • id: 60386777
    {'hecke_orbit_code': 67553994444113537, 'n': 95, 'trace_an': -4}
  • id: 60386778
    {'hecke_orbit_code': 67553994444113537, 'n': 96, 'trace_an': 0}
  • id: 60386779
    {'hecke_orbit_code': 67553994444113537, 'n': 97, 'trace_an': -26}
  • id: 60386780
    {'hecke_orbit_code': 67553994444113537, 'n': 98, 'trace_an': 18}
  • id: 60386781
    {'hecke_orbit_code': 67553994444113537, 'n': 99, 'trace_an': 0}
  • id: 60386782
    {'hecke_orbit_code': 67553994444113537, 'n': 100, 'trace_an': 10}